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Huang X, Guo X, Gao W, Xiong Y, Chen C, Zheng H, Pan Z, Wang L, Zheng S, Ke C, Stavrinou P, Hu W, Hong K, Zheng F. Causal association between years of schooling and the risk of traumatic brain injury: A two-sample mendelian randomization analysis. J Affect Disord 2024; 354:483-490. [PMID: 38484892 DOI: 10.1016/j.jad.2024.03.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 02/26/2024] [Accepted: 03/09/2024] [Indexed: 03/26/2024]
Abstract
OBJECTIVE To investigate whether the number of years of schooling are causally associated traumatic brain injury (TBI). We aimed to investigate whether the number of years of schooling are causally associated TBI. METHODS We investigate the prospective causal effect of years of schooling on TBI using summary statistical data. The statistical dataset comprising years of schooling (n = 293,723) from genome-wide association studies (GWASs) deposited in the UK Biobank was used for exposure. We used the following GWAS available in the FinnGen dataset: individuals with TBI (total = 13,165; control = 136,576; number of single nucleotide polymorphisms [SNPs] = 16,380,088). RESULTS Seventy significant genome-wide SNPs from GWAS datasets with annotated years of schooling were selected as instrumental variables. The inverse variance weighted method results supported a causal relationship between years of schooling and TBI (odds ratio (OR), 0.78; 95 % confidence interval (CI), 0.62-0.98; P = 0.029). MR-Egger regression showed that polydirectionality was unlikely to bias the results (intercept = 0.007, SE = 0.01, P = 0.484) and demonstrated no causal relationship between years of schooling and TBI (OR, 0.52; 95%CI, 0.17-1.64; P = 0.270). The weighted median method revealed a causal relationship with TBI (OR, 0.73; 95%CI, 0.55-0.98; P = 0.047). A Cochran's Q test and funnel plot did not show heterogeneity nor asymmetry, indicating no directional pleiotropy. CONCLUSIONS The current investigation yields substantiation of a causal association between years of schooling and TBI development. More years of schooling may be causally associated with a reduced risk of TBI, which has implications for clinical and public health practices and policies.
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Affiliation(s)
- Xinyue Huang
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Xiumei Guo
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China; Department of Neurology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Wen Gao
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China; Department of Neurology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Yu Xiong
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Chunhui Chen
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Hanlin Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Zhigang Pan
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Lingxing Wang
- Department of Neurology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China.
| | - Shuni Zheng
- Division of Public Management, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Chuhan Ke
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China
| | - Pantelis Stavrinou
- Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany; Neurosurgery, Metropolitan Hospital, Athens, Greece.
| | - Weipeng Hu
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China.
| | - Kunda Hong
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
| | - Feng Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou 362000, Fujian Province, China.
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Xie G, Wang J, Liu J, Lyu J, Liu Y, Wang C, Zheng F, Jin Y. IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Trans Cybern 2024; 54:2720-2733. [PMID: 38381632 DOI: 10.1109/tcyb.2024.3357213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Image anomaly detection (IAD) is an emerging and vital computer vision task in industrial manufacturing (IM). Recently, many advanced algorithms have been reported, but their performance deviates considerably with various IM settings. We realize that the lack of a uniform IM benchmark is hindering the development and usage of IAD methods in real-world applications. In addition, it is difficult for researchers to analyze IAD algorithms without a uniform benchmark. To solve this problem, we propose a uniform IM benchmark, for the first time, to assess how well these algorithms perform, which includes various levels of supervision (unsupervised versus fully supervised), learning paradigms (few-shot, continual and noisy label), and efficiency (memory usage and inference speed). Then, we construct a comprehensive IAD benchmark (IM-IAD), which includes 19 algorithms on seven major datasets with a uniform setting. Extensive experiments (17 017 total) on IM-IAD provide in-depth insights into IAD algorithm redesign or selection. Moreover, the proposed IM-IAD benchmark challenges existing algorithms and suggests future research directions. For reproducibility and accessibility, the source code is uploaded to the website: https://github.com/M-3LAB/open-iad.
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Liu Y, Cai D, Zheng F, Qin Z, Li Y, Li W, Li A, Zhao Y, Zhang J. A carbon quantum dot-decorated g-C 3N 4 composite as a sulfur hosting material for lithium-sulfur batteries. Dalton Trans 2024; 53:7035-7043. [PMID: 38563460 DOI: 10.1039/d4dt00511b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Although lithium-sulfur (Li-S) batteries have attracted strong consideration regarding their fundamental mechanism and energy applications, the inferior cycling performance and low reaction rate caused by the "shuttling effect" and the sluggish reaction kinetics of lithium polysulfides (LiPSs) impede their practical application. In this work, graphitic C3N4 (g-C3N4) assembled with highly-dispersed nitrogen-containing carbon quantum dots (CQDs) is designed as a cooperative catalyst to accelerate the reaction kinetics of LiPS conversion, the precipitation of Li2S during discharging, and insoluble Li2S decomposition during the charging process. Meanwhile, the introduction of CQDs improves the conductivity of the g-C3N4 substrate, showing great significance for the construction of high-performance electrocatalysts. As a result, the as-obtained composite shows efficient adsorption and electrochemical conversion of LiPSs, and the Li-S batteries assembled with CQDs/g-C3N4 exhibit an initial specific capacity of 1300.0 mA h g-1 at the current density of 0.1C and retain 582.3 mA h g-1 after 200 cycles. The electrode with the modified composite displays a greater capacity contribution of Li2S precipitation (175.7 mA h g-1), indicating an enhanced catalytic activity of g-C3N4 decorated by CQDs. The rational design of CQDs/g-C3N4 as a sulfur host could be an effective strategy for developing high performance Li-S batteries.
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Affiliation(s)
- Yang Liu
- College of Sciences, Shanghai University, Shanghai, 200444, China.
| | - Dandan Cai
- College of Sciences, Shanghai University, Shanghai, 200444, China.
| | - Feng Zheng
- College of Sciences, Shanghai University, Shanghai, 200444, China.
| | - Ziwei Qin
- School of Materials Science and Engineering, Shanghai University, Shanghai, 200072, China
- Shaoxing Institute of Technology, Shanghai University, Shaoxing, Zhejiang, 312000, China
| | - Ying Li
- School of Materials Science and Engineering, Shanghai University, Shanghai, 200072, China
| | - Wenxian Li
- School of Materials Science and Engineering, Shanghai University, Shanghai, 200072, China
- School of Materials Science and Engineering/Materials and Manufacturing Futures Institute, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Aijun Li
- Shaoxing Institute of Technology, Shanghai University, Shaoxing, Zhejiang, 312000, China
| | - Yufeng Zhao
- College of Sciences, Shanghai University, Shanghai, 200444, China.
| | - Jiujun Zhang
- College of Sciences, Shanghai University, Shanghai, 200444, China.
- College of Materials Science and Engineering, Fuzhou University, Fujian 350108, China
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Zhong Q, Zou Y, Liu H, Chen T, Zheng F, Huang Y, Chen C, Zhang Z. Correction to: Toll-like receptor 4 deficiency ameliorates β2-microglobulin induced age-related cognition decline due to neuroinflammation in mice. Mol Brain 2024; 17:19. [PMID: 38654273 DOI: 10.1186/s13041-024-01090-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024] Open
Affiliation(s)
- Qi Zhong
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China
| | - Yufeng Zou
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China
| | - Hongchao Liu
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China
- Department of Anesthesiology, Maternal and Child Hospital of Hubei Province, Wuluo Road, 430071, Wuhan, Hubei, China
| | - Ting Chen
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China
| | - Feng Zheng
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China
| | - Yifei Huang
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China
| | - Chang Chen
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China.
| | - Zongze Zhang
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, East Lake Road, 430071, Wuhan, Hubei, China.
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Wei L, Li J, Zheng F, Zhang Y. Analysis and prevention strategies of risk factors for postoperative stroke complications in cardiac surgery. Int J Neurosci 2024:1-6. [PMID: 38584514 DOI: 10.1080/00207454.2024.2340596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 04/03/2024] [Indexed: 04/09/2024]
Abstract
OBJECTIVE To analyze the risk factors associated with postoperative stroke complications in cardiac surgery. METHODS A retrospective analysis was conducted on the clinical data of 549 patients who underwent cardiac surgery. Among these patients, 501 did not experience a stroke postoperatively (non-stroke group), while 48 developed a postoperative stroke (stroke group). Patients who experienced a stroke postoperatively were divided into two groups based on the type of surgery: those who underwent surgery with cardiopulmonary bypass (18 patients) and those without cardiopulmonary bypass (30 patients). The clinical characteristics of the two groups of patients with postoperative strokes were compared, and the risk factors influencing the occurrence of postoperative stroke complications in cardiac surgery were analyzed. RESULTS ① Clinical findings: Cardiopulmonary bypass group had lower cortical infarction rates but higher large-area and bilateral infarction rates compared to the non-cardiopulmonary bypass group (p < 0.05). No significant gender, age, or infarction type differences were observed (p > 0.05). ② Univariate analysis: No significant differences were found in gender, smoking, alcohol, lipids, or glucose levels (p > 0.05). However, age, education, hypertension, diabetes, hypotension, and atrial fibrillation showed significant differences (p < 0.05). ③ Multivariate Logistic regression: Age, education, hypertension, diabetes, hypotension, and atrial fibrillation were independent risk factors for postoperative stroke complications (p < 0.05). CONCLUSION Cardiopulmonary bypass increases risk of large-area and bilateral strokes; non-bypass surgery associates with cortical strokes. Age, educational level, hypertension, diabetes, postoperative hypotension, and atrial fibrillation are all factors independently associated with the occurrence of postoperative cerebral infarctions in cardiac surgery. Early interventions may reduce postoperative strokes.
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Affiliation(s)
- Liang Wei
- Department of Cardiac and Vascular Surgery, Affiliated Huai'an Hospital of Yangzhou University, Huai'an, China
| | - Jie Li
- Department of Cardiac and Vascular Surgery, Affiliated Huai'an Hospital of Yangzhou University, Huai'an, China
| | - Feng Zheng
- Department of Cardiac and Vascular Surgery, Affiliated Huai'an Hospital of Yangzhou University, Huai'an, China
| | - Yan Zhang
- Department of Cardiac and Vascular Surgery, Affiliated Huai'an Hospital of Yangzhou University, Huai'an, China
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Lin R, Huang S, Guo X, Gao S, Zheng F, Zheng Z. Impact of fellowship training for specialists on thyroidectomy outcomes of patients with thyroid cancer. Sci Rep 2024; 14:9033. [PMID: 38641717 PMCID: PMC11031587 DOI: 10.1038/s41598-024-59864-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024] Open
Abstract
We aimed to evaluate the impact of fellowship training (FT) for thyroid specialists on the outcomes of patients with thyroid cancer. We reviewed surgeries performed for thyroid cancer before (non-FT group) and after (FT group) fellowship training and compared several variables, including length of stay of patients, tumor diameter, surgical method, lymph node dissection, parathyroid implantation, surgical duration, intraoperative blood loss, and postoperative complications. Compared with the non-FT group, the FT group had a shorter hospital stay, more adequate fine needle aspiration biopsy of the thyroid, less intraoperative blood loss, higher rate of parathyroid implantation, higher lymph node dissection rate, and lower nerve injury and hypoparathyroidism rates. When the surgical duration was < 200 min and/or only central lymph node dissection was performed, the FT group had a lower incidence of postoperative complications than the non-FT group. When, the incidence of postoperative complications, including postoperative nerve injury and hypoparathyroidism. In conclusion, FT for thyroid specialists is beneficial for patients with thyroid cancer and may allow a shorter hospital stay and reduced incidence of postoperative complication. Accordingly, FT may facilitate a more appropriate surgical approach with a preoperative pathological diagnosis.
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Affiliation(s)
- Rujiao Lin
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Sitao Huang
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Xiumei Guo
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Shengnan Gao
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China.
| | - Zhengrong Zheng
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian Province, China.
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7
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El-Awamry A, Zheng F, Kaiser T, Khaliel M. Harmonic FMCW Radar System: Passive Tag Detection and Precise Ranging Estimation. Sensors (Basel) 2024; 24:2541. [PMID: 38676158 PMCID: PMC11054317 DOI: 10.3390/s24082541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/08/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024]
Abstract
This paper details the design and implementation of a harmonic frequency-modulated continuous-wave (FMCW) radar system, specialized in detecting harmonic tags and achieving precise range estimation. Operating within the 2.4-2.5 GHz frequency range for the forward channel and 4.8-5.0 GHz for the backward channel, this study delves into the various challenges faced during the system's realization. These challenges include selecting appropriate components, calibrating the system, processing signals, and integrating the system components. In addition, we introduce a single-layer passive harmonic tag, developed specifically for assessing the system, and provide an in-depth theoretical analysis and simulation results. Notably, the system is characterized by its low power consumption, making it particularly suitable for short-range applications. The system's efficacy is further validated through experimental evaluations in a real-world indoor environment across multiple tag positions. Our measurements underscore the system's robust ranging accuracy and its ability to mitigate self-interference, showcasing its significant potential for applications in harmonic tag detection and ranging.
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Affiliation(s)
- Ahmed El-Awamry
- Institute of Digital Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
- Benha Faculty of Engineering, Benha University, Benha 13512, Egypt
| | - Feng Zheng
- Institute of Digital Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
| | - Thomas Kaiser
- Institute of Digital Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
| | - Maher Khaliel
- Institute of Digital Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
- Benha Faculty of Engineering, Benha University, Benha 13512, Egypt
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Wang T, Song D, Li X, Luo Y, Yang D, Liu X, Kong X, Xing Y, Bi S, Zhang Y, Hu T, Zhang Y, Dai S, Shao Z, Chen D, Hou J, Ballestar E, Cai J, Zheng F, Yang JY. MiR-574-5p activates human TLR8 to promote autoimmune signaling and lupus. Cell Commun Signal 2024; 22:220. [PMID: 38589923 PMCID: PMC11000404 DOI: 10.1186/s12964-024-01601-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 03/28/2024] [Indexed: 04/10/2024] Open
Abstract
Endosomal single-stranded RNA-sensing Toll-like receptor-7/8 (TLR7/8) plays a pivotal role in inflammation and immune responses and autoimmune diseases. However, the mechanisms underlying the initiation of the TLR7/8-mediated autoimmune signaling remain to be fully elucidated. Here, we demonstrate that miR-574-5p is aberrantly upregulated in tissues of lupus prone mice and in the plasma of lupus patients, with its expression levels correlating with the disease activity. miR-574-5p binds to and activates human hTLR8 or its murine ortholog mTlr7 to elicit a series of MyD88-dependent immune and inflammatory responses. These responses include the overproduction of cytokines and interferons, the activation of STAT1 signaling and B lymphocytes, and the production of autoantigens. In a transgenic mouse model, the induction of miR-574-5p overexpression is associated with increased secretion of antinuclear and anti-dsDNA antibodies, increased IgG and C3 deposit in the kidney, elevated expression of inflammatory genes in the spleen. In lupus-prone mice, lentivirus-mediated silencing of miR-574-5p significantly ameliorates major symptoms associated with lupus and lupus nephritis. Collectively, these results suggest that the miR-574-5p-hTLR8/mTlr7 signaling is an important axis of immune and inflammatory responses, contributing significantly to the development of lupus and lupus nephritis.
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Affiliation(s)
- Tao Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
- The Key Laboratory of Urinary Tract Tumors and Calculi, Department of Urology, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, 361003, China
| | - Dan Song
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Xuejuan Li
- Wuhu Hospital of East China Normal University, Wuhu, Anhui, 241000, China
- Kidney Health Institute, Health Science Center, East China Normal University, Minhang, Shanghai, 200241, China
- Department of Nephrology, The Second Hospital, Dalian Medical University, Dalian, 116144, China
| | - Yu Luo
- School of Nursing, The Third Military Medical University, Chongqing, 400038, China
| | - Dianqiang Yang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Xiaoyan Liu
- Department of Nephrology, The Second Hospital, Dalian Medical University, Dalian, 116144, China
| | - Xiaodan Kong
- Department of Rheumatology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China
| | - Yida Xing
- Department of Rheumatology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China
| | - Shulin Bi
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Yan Zhang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Tao Hu
- College of Medicine, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Yunyun Zhang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Shuang Dai
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Zhiqiang Shao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Dahan Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Jinpao Hou
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China
| | - Esteban Ballestar
- Wuhu Hospital of East China Normal University, Wuhu, Anhui, 241000, China
- Kidney Health Institute, Health Science Center, East China Normal University, Minhang, Shanghai, 200241, China
- Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, 08916, Spain
| | - Jianchun Cai
- Department of Gastrointestinal Surgery, Institute of Gastrointestinal Oncology, Zhongshan Hospital of Xiamen University, Medical College of Xiamen University, Xiamen, Fujian, 361005, China.
| | - Feng Zheng
- Wuhu Hospital of East China Normal University, Wuhu, Anhui, 241000, China.
- Kidney Health Institute, Health Science Center, East China Normal University, Minhang, Shanghai, 200241, China.
- Department of Nephrology, The Second Hospital, Dalian Medical University, Dalian, 116144, China.
- The Advanced Institute for Molecular Medicine, Dalian Medical University, Dalian, 116144, China.
| | - James Y Yang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiang'an, Xiamen, 361102, China.
- Wuhu Hospital of East China Normal University, Wuhu, Anhui, 241000, China.
- Kidney Health Institute, Health Science Center, East China Normal University, Minhang, Shanghai, 200241, China.
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Qin N, Yao Z, Shi S, Duan Y, Li X, Liu H, Zheng F, Zhong Z. Association between medication literacy and blood pressure control among hypertensive patients. Int J Nurs Pract 2024; 30:e13153. [PMID: 37062986 DOI: 10.1111/ijn.13153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 03/11/2023] [Accepted: 03/19/2023] [Indexed: 04/18/2023]
Abstract
AIM This study aimed to explore the association between medication literacy and blood pressure control among hypertensive patients. BACKGROUND Blood pressure control is a challenge for global health systems. Medication literacy is essential for medication self-management in hypertensive patients and a basis for managers to develop comprehensive intervention strategies for hypertension medication use. DESIGN A cross-sectional observational study was conducted. METHODS A total of 378 hypertensive patients was selected by convenience sampling from two tertiary hospitals and four community health service centres from December 2021 to January 2022 in Changsha, China. Associations between medication literacy and blood pressure control were identified with chi-square, independent samples t-tests and logistic regression analyses. RESULTS The average medication literacy score of the hypertensive patients investigated was low. Over a third of patients had uncontrolled blood pressure. Logistic regression analysis showed that medication literacy was an influencing factor for blood pressure control rate in hypertensive patients. CONCLUSIONS Medication literacy and blood pressure control among hypertensive patients was poor. Medication literacy was a facilitator of blood pressure control so improving medication literacy may be of value to improve blood pressure control in hypertensive patients.
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Affiliation(s)
- Ning Qin
- Nursing Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ziqiang Yao
- Xiangya Nursing School, Central South University, 172 Tongzipo Road, Changsha, 410013, China
| | - Shuangjiao Shi
- Cardiology Department, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, China
| | - Yinglong Duan
- Emergency Department, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, China
| | - Xiao Li
- Xiangya Nursing School, Central South University, 172 Tongzipo Road, Changsha, 410013, China
| | - Haoqi Liu
- Xiangya Nursing School, Central South University, 172 Tongzipo Road, Changsha, 410013, China
| | - Feng Zheng
- Cardiology Department, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, 410013, China
| | - Zhuqing Zhong
- Nursing Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
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Cao Z, Aharonian F, Axikegu, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Bian W, Bukevich AV, Cao Q, Cao WY, Cao Z, Chang J, Chang JF, Chen AM, Chen ES, Chen HX, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen S, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng N, Cheng YD, Cui MY, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Dong XQ, Duan KK, Fan JH, Fan YZ, Fang J, Fang JH, Fang K, Feng CF, Feng H, Feng L, Feng SH, Feng XT, Feng Y, Feng YL, Gabici S, Gao B, Gao CD, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Giacinti G, Gong GH, Gou QB, Gu MH, Guo FL, Guo XL, Guo YQ, Guo YY, Han YA, Hasan M, He HH, He HN, He JY, He Y, Hor YK, Hou BW, Hou C, Hou X, Hu HB, Hu Q, Hu SC, Huang DH, Huang TQ, Huang WJ, Huang XT, Huang XY, Huang Y, Ji XL, Jia HY, Jia K, Jiang K, Jiang XW, Jiang ZJ, Jin M, Kang MM, Karpikov I, Kuleshov D, Kurinov K, Li BB, Li CM, Li C, Li C, Li D, Li F, Li HB, Li HC, Li J, Li J, Li K, Li SD, Li WL, Li WL, Li XR, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu DB, Liu H, Liu HD, Liu J, Liu JL, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Luo Q, Luo Y, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Min Z, Mitthumsiri W, Mu HJ, Nan YC, Neronov A, Ou LJ, Pattarakijwanich P, Pei ZY, Qi JC, Qi MY, Qiao BQ, Qin JJ, Raza A, Ruffolo D, Sáiz A, Saeed M, Semikoz D, Shao L, Shchegolev O, Sheng XD, Shu FW, Song HC, Stenkin YV, Stepanov V, Su Y, Sun DX, Sun QN, Sun XN, Sun ZB, Takata J, Tam PHT, Tang QW, Tang R, Tang ZB, Tian WW, Wang C, Wang CB, Wang GW, Wang HG, Wang HH, Wang JC, Wang K, Wang K, Wang LP, Wang LY, Wang PH, Wang R, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu QW, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xiang GM, Xiao DX, Xiao G, Xin YL, Xing Y, Xiong DR, Xiong Z, Xu DL, Xu RF, Xu RX, Xu WL, Xue L, Yan DH, Yan JZ, Yan T, Yang CW, Yang CY, Yang F, Yang FF, Yang LL, Yang MJ, Yang RZ, Yang WX, Yao YH, Yao ZG, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zha M, Zhang BB, Zhang F, Zhang H, Zhang HM, Zhang HY, Zhang JL, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zhao XH, Zheng F, Zhong WJ, Zhou B, Zhou H, Zhou JN, Zhou M, Zhou P, Zhou R, Zhou XX, Zhou XX, Zhu BY, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zou YC, Zuo X. Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A. Phys Rev Lett 2024; 132:131002. [PMID: 38613275 DOI: 10.1103/physrevlett.132.131002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/23/2024] [Accepted: 02/12/2024] [Indexed: 04/14/2024]
Abstract
We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at 3.67±0.05±0.15 PeV. Below the knee, the spectral index is found to be -2.7413±0.0004±0.0050, while above the knee, it is -3.128±0.005±0.027, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -0.1200±0.0003±0.0341. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components.
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Affiliation(s)
- Zhen Cao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Aharonian
- Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, 2 Dublin, Ireland
- Max-Planck-Institut for Nuclear Physics, P.O. Box 103980, 69029 Heidelberg, Germany
| | - Axikegu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y X Bai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - D Bastieri
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Bian
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - A V Bukevich
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Q Cao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - W Y Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Zhe Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J F Chang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - A M Chen
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - E S Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H X Chen
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Liang Chen
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Lin Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Long Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M J Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M L Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Q H Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - S Chen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - S H Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S Z Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T L Chen
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - N Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y D Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Cui
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S W Cui
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - X H Cui
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Y D Cui
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B Z Dai
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - H L Dai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Z G Dai
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Danzengluobu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - X Q Dong
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J H Fan
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y Z Fan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Fang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J H Fang
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - K Fang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X T Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Y Feng
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Y L Feng
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - S Gabici
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - B Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C D Gao
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Q Gao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - W Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W K Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M M Ge
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - L S Geng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - G Giacinti
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q B Gou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M H Gu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - F L Guo
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - X L Guo
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Y Guo
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y A Han
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - M Hasan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H H He
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H N He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Y He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y He
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y K Hor
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B W Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Hou
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q Hu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S C Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- China Center of Advanced Science and Technology, Beijing 100190, China
| | - D H Huang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - T Q Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W J Huang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - X T Huang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X Y Huang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X L Ji
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H Y Jia
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - K Jia
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - K Jiang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - X W Jiang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z J Jiang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Jin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M M Kang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - I Karpikov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - D Kuleshov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - K Kurinov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - B B Li
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - C M Li
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Cheng Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Cong Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H B Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H C Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Jian Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Jie Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - K Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S D Li
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - W L Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W L Li
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - X R Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Xin Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y Z Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhe Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhuo Li
- School of Physics, Peking University, 100871 Beijing, China
| | - E W Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Y F Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - S J Lin
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B Liu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - C Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Liu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D B Liu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H D Liu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - J Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Liu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - R Y Liu
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - S M Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Liu
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y N Liu
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q Luo
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - Y Luo
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H K Lv
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Ma
- School of Physics, Peking University, 100871 Beijing, China
| | - L L Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X H Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J R Mao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Min
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Mitthumsiri
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - H J Mu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - Y C Nan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - A Neronov
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L J Ou
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - P Pattarakijwanich
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Z Y Pei
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - J C Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Qiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J J Qin
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - A Raza
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Ruffolo
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - A Sáiz
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - M Saeed
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Semikoz
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L Shao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - O Shchegolev
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - X D Sheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F W Shu
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - H C Song
- School of Physics, Peking University, 100871 Beijing, China
| | - Yu V Stenkin
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - V Stepanov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Y Su
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - D X Sun
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Q N Sun
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X N Sun
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Z B Sun
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - J Takata
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - P H T Tam
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - Q W Tang
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - R Tang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Z B Tang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W W Tian
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - C Wang
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - C B Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G W Wang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - H G Wang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - H H Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - J C Wang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Kai Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Kai Wang
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - L P Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Y Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - P H Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - R Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - X G Wang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - X Y Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Y Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y D Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z H Wang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z X Wang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Zhen Wang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zheng Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y J Wei
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T Wen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - C Y Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q W Wu
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - S Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X F Wu
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y S Wu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S Q Xi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J Xia
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - G M Xiang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D X Xiao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - G Xiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y L Xin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Xing
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D R Xiong
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Xiong
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D L Xu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - R F Xu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R X Xu
- School of Physics, Peking University, 100871 Beijing, China
| | - W L Xu
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D H Yan
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J Z Yan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T Yan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C W Yang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - C Y Yang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Yang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - F F Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L L Yang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - M J Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R Z Yang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - W X Yang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y H Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z G Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Q Yin
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - N Yin
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X H You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z Y You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y H Yu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Q Yuan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - H Yue
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H D Zeng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T X Zeng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W Zeng
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Zha
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B B Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H M Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H Y Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Li Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P F Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P P Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - R Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S B Zhang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - S R Zhang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S S Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - X P Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Yi Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Yong Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Zhao
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - J Zhao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Zhao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L Z Zhao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S P Zhao
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - X H Zhao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Zheng
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - W J Zhong
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - B Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H Zhou
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - J N Zhou
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - M Zhou
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - P Zhou
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - R Zhou
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - X X Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X X Zhou
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - B Y Zhu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - C G Zhu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F R Zhu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhu
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - K J Zhu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y C Zou
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - X Zuo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
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Xiong Y, Guo X, Gao W, Ke C, Huang X, Pan Z, Chen C, Zheng H, Hu W, Zheng F, Yao H. Efficacy and safety of stem cells in the treatment of ischemic stroke: A meta-analysis. Medicine (Baltimore) 2024; 103:e37414. [PMID: 38518043 PMCID: PMC10956950 DOI: 10.1097/md.0000000000037414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/07/2024] [Indexed: 03/24/2024] Open
Abstract
BACKGROUND Stem cell therapy on ischemic stroke has long been studied using animal experiments. The efficacy and safety of this treatment in ischemic stroke patients remain uncertain. METHODS We searched for all clinical randomized controlled trials published before October 2023, on PubMed, EMBASE, and the Cochrane Library using predetermined search terms, and performed a meta-analysis of the efficacy of stem cell therapy in ischemic stroke patients. RESULTS 13 studies that included 592 ischemic stroke patients were reviewed. The mRS (MD -0.32, 95% CI -0.64 to 0.00, I2 = 63%, P = .05), NIHSS (MD -1.63, 95% CI -2.69 to -0.57, I2 = 58%, P = .003), and BI (MD 14.22, 95% CI 3.95-24.48, I2 = 43%, P = .007) showed effective stem cell therapy. The mortality (OR 0.42, 95% CI 0.23-0.79, I2 = 0%, P = .007) showed improved prognosis and reduce mortality with stem cell therapy. CONCLUSION Stem cell therapy reduces mortality and improves the neurological prognosis of ischemic stroke patients. However, due to the different types of stem cells used and the limited data in the reported studies, the safety of clinical applications of stem cells in patients with ischemic stroke must be carefully evaluated. Future randomized controlled trials with large sample sizes from controlled cell sources are warranted to validate this finding.
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Affiliation(s)
- Yu Xiong
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Xiumei Guo
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Wen Gao
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Chuhan Ke
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Xinyue Huang
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Zhigang Pan
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Chunhui Chen
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Hanlin Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Weipeng Hu
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Feng Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Hao Yao
- Department of Neurosurgery, Jinjiang Municipal Hospital, Quanzhou, China
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Hong J, Li C, Zhao K, Wang X, Feng R, Chen X, Wei C, Gong X, Zheng F, Zheng C. Stereoselective Fluorosulfonylation of Vinylboronic Acids for ( E)-Vinyl Sulfonyl Fluorides with Copper Participation. Org Lett 2024; 26:2332-2337. [PMID: 38478713 DOI: 10.1021/acs.orglett.4c00711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
A practical synthetic method for the synthesis of vinyl sulfonyl fluorides through copper-promoted direct fluorosulfonylation has been developed. The reaction of the vinylboronic acids with DABSO and then NFSI is performed under mild reaction conditions. This transformation efficiently affords aryl or alkyl vinyl sulfonyl fluorides with good reaction yields, exclusive E-configuration, broad substrate scope, excellent compatibility, and operational simplicity.
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Affiliation(s)
- Jianquan Hong
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Chunxiang Li
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Kui Zhao
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Xiaoyu Wang
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Ruilong Feng
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Xifei Chen
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Chongbin Wei
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Xinxin Gong
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Feng Zheng
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
| | - Changge Zheng
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China
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Zhao Q, Sun J, Zheng F, Dan Han MD, Fu C, Sun H, Liu C, Wang Z, Huang W, Wang R, Li B. Accurate location describe and management of lymph node recurrence after esophagectomy for thoracic esophageal squamous cell carcinoma:a retrospective cohort study. Int J Surg 2024:01279778-990000000-01216. [PMID: 38498405 DOI: 10.1097/js9.0000000000001242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/19/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Describe the accurate locations of lymph node recurrence LNR of Chinese patients with postoperative thoracic esophageal squamous cell carcinoma (ESCC) is essential for determining the need for further surveillance protocols and treatments. We aimed to evaluate the patterns of postoperative ESCC and its current risk stratification with LNR. METHODS This population-based cohort study included a retrospective review of the medical records and image material of patients with ESCC who underwent LNR after radical surgery between January 2013 and September 2022, with a median follow-up time of 5.71 years. Clinical features were extracted from these records, and survival analysis was performed. The primary endpoint was the accurate location and range of LNR according to the nomenclature of the Japanese Society for Esophageal Diseases. The second endpoints was to explore the related factors of recurrence range (RR) and overall survival (OS) . RESULTS A total of 3268 lymph node regions were recurrence from 1129 patients, with a mean of 2.89 regions per patient. No.104, 106 and 107 was the most common recurrence of thoracic ESCC with an LNR rate higher than 15%. In upper thoracic ESCC, No.105 was a common recurrence site and abdominal lymph node recurrence was rare. In lower thoracic ESCC, retroperitoneal lymph node was a unique regions (15.4%). Anastomotic recurrence is an important recurrence pattern in patients with postoperative esophageal cancer, with an incidence of 24.5%. Rates of lymph node recurrence in range of lymph node dissection was low (13.9%). The median time of LRT was 20.0 (1.5-184.0) months. High range of recurrence was associated with significantly poorer OS in patients. Multiple linear regression analysis identified demonstrated N stage, tumor differentiation, adjuvant radiotherapy and total lymph nodes removed were association with recurrence range for patients. CONCLUSIONS Supraclavicular and upper mediastinums lymph nodes were common recurrence site for ESCC patients , and careful initial staging and surveillance are needed. Thorough lymph node dissection may reduce the range of regional recurrence.
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Affiliation(s)
- Qian Zhao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Jinglong Sun
- Department of Rehabilitation, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, ShanDong, China
| | - Feng Zheng
- Department of oncology, Linyi People's Hospital, Linyi, Shandong, China
| | - M D Dan Han
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Chengrui Fu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Hongfu Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Chengxin Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zhongtang Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Wei Huang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Ruozheng Wang
- The Third Affillated Teaching Hospital of Xinjiang Medical University/Xinjiang Medical University, Urumqi, China
| | - Baosheng Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute/ Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
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Yang J, Gao M, Zheng F, Zhen X, Ji R, Shao L, Leonardis A. Weakly-Supervised RGBD Video Object Segmentation. IEEE Trans Image Process 2024; 33:2158-2170. [PMID: 38470575 DOI: 10.1109/tip.2024.3374130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Depth information opens up new opportunities for video object segmentation (VOS) to be more accurate and robust in complex scenes. However, the RGBD VOS task is largely unexplored due to the expensive collection of RGBD data and time-consuming annotation of segmentation. In this work, we first introduce a new benchmark for RGBD VOS, named DepthVOS, which contains 350 videos (over 55k frames in total) annotated with masks and bounding boxes. We futher propose a novel, strong baseline model - Fused Color-Depth Network (FusedCDNet), which can be trained solely under the supervision of bounding boxes, while being used to generate masks with a bounding box guideline only in the first frame. Thereby, the model possesses three major advantages: a weakly-supervised training strategy to overcome the high-cost annotation, a cross-modal fusion module to handle complex scenes, and weakly-supervised inference to promote ease of use. Extensive experiments demonstrate that our proposed method performs on par with top fully-supervised algorithms. We will open-source our project on https://github.com/yjybuaa/depthvos/ to facilitate the development of RGBD VOS.
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Chen Z, Luo S, Zheng F. Sustainability evaluation of sports tourism using a linguistic neutrosophic multi-criteria decision-making method. PLoS One 2024; 19:e0300341. [PMID: 38498585 PMCID: PMC10947702 DOI: 10.1371/journal.pone.0300341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
Sports tourism represents a novel industrial manifestation of the profound integration between the tourism and sports sectors. The objective of this research is to examine an innovative multi-criteria decision-making (MCDM) method for the sustainability evaluation of sports tourism. The largest innovations are the expression and treatment of ambiguous data and interdependent evaluation criteria in the sports tourism sustainability evaluation process. On the one hand, intricate assessment data is represented using linguistic neutrosophic numbers (LNNs), which employ three linguistic variables to convey uncertainty and imprecision. On the other hand, to effectively capture the interrelationships among inputs, two novel aggregation operators are proposed. They are devised based on the Einstein operations and Heronian mean operators of LNNs. Subsequently, a linguistic neutrosophic evaluation method utilizing the aforementioned operators is presented. Comparative and sensitivity analyses conclude that great interdependence exists among five different dimensions of sustainability evaluation in sports tourism, and the proposed method can reflect the interrelations among inputs without redundant calculations.
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Affiliation(s)
- Zhenyin Chen
- Department of Physical Education, Central South University, Changsha, China
| | - Suizhi Luo
- College of Tourism, Hunan Normal University, Changsha, China
| | - Feng Zheng
- Department of Physical Education, Central South University, Changsha, China
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Zhuang B, Gan L, Liu B, Yuan W, Shi M, Peng A, Wang L, Chen X, Liu T, Zhang S, Wang S, Gao Q, Wang B, Zheng H, Liu C, Luo Y, Ye H, Lin H, Li Y, He Q, Zheng F, Luo P, Long G, Lu W, Li K, Yang J, Liu YC, Zhang Z, Li X, Zhang W, Zuo L. Efficacy, tolerability, and safety of the oral phosphate binder VS-505 (AP301). Nephrol Dial Transplant 2024:gfae053. [PMID: 38453435 DOI: 10.1093/ndt/gfae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND VS-505 (AP301), an acacia and ferric oxyhydroxide polymer, is a novel fiber-iron-based phosphate binder. This two-part phase 2 study evaluated the tolerability, safety, and efficacy of oral VS-505 administered three times daily with meals in treating hyperphosphatemia in chronic kidney disease (CKD) patients receiving maintenance hemodialysis (MHD). METHODS In Part 1, patients received dose-escalated treatment with VS-505 2.25, 4.50, and 9.00 g/day for 2 weeks each, guided by serum phosphorus levels. In Part 2, patients received randomized, open-label, fixed-dosage treatment with VS-505 (1.50, 2.25, 4.50, or 6.75 g/day) or sevelamer carbonate 4.80 g/day for 6 weeks. The primary efficacy endpoint was the change in serum phosphorus. RESULTS The study enrolled 158 patients (Part 1: 25; Part 2: 133), with 130 exposed to VS-505 in total. VS-505 was well tolerated. The most common adverse events were gastrointestinal disorders, mainly feces discolored (56%) and diarrhea (15%; generally during weeks 1‒2 of treatment). Most gastrointestinal disorders resolved without intervention, and none were serious. In Part 1, serum phosphorus significantly improved (mean change -2.0 mg/dL; 95% confidence interval -2.7, -1.4) after VS-505 dose escalation. In Part 2, serum phosphorus significantly and dose-dependently improved in all VS-505 arms, with clinically meaningful reductions with VS-505 4.50 and 6.75 g/day, and sevelamer carbonate 4.80 g/day (mean change -1.6 (-2.2, -1.0), -1.8 (-2.4, -1.2), and -1.4 (-2.2, -0.5) mg/dL, respectively). In both Parts, serum phosphorus reductions occurred within 1 week of VS-505 initiation, returning to baseline within 2 weeks of VS-505 discontinuation. CONCLUSION VS-505, a novel phosphate binder, was well tolerated with a manageable safety profile, and effectively and dose-dependently reduced serum phosphorus in CKD patients with hyperphosphatemia receiving MHD. Clinical Trial registration number: NCT04551300.
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Affiliation(s)
- Bing Zhuang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Liangying Gan
- Department of Nephrology, Peking University People's Hospital, Beijing, China
| | - Bin Liu
- Nephrology Department, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Weijie Yuan
- Nephrology Department, Shanghai General Hospital, Shanghai, China
| | - Ming Shi
- Nephrology Department, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ai Peng
- Nephrology Department, Shanghai Tenth Hospital, Shanghai, China
| | - Lihua Wang
- Nephrology Department, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaolan Chen
- Nephrology Department, Affiliated Hospital of Nantong University, Nantong, China
| | - Tongqiang Liu
- Nephrology Department, Changzhou No. 2 People's Hospital, Changzhou, China
| | - Shiying Zhang
- Nephrology Department Jilin Province People's Hospital, Changchun, China
| | - Song Wang
- Nephrology Department, Peking University Third Hospital, Beijing, China
| | - Qing Gao
- Department of Nephrology, Zhongshan Hospital of Xiamen University School of Medicine, Xiamen, China
| | - Baoxing Wang
- Nephrology Department, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Huixiao Zheng
- Nephrology Department, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China
| | - Changhua Liu
- Nephrology Department, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Yuan Luo
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Hong Ye
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Hongli Lin
- Nephrology Department, The First Hospital of Dalian Medical University, Dalian, China
| | - Yiwen Li
- Department of Nephrology, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Qiang He
- Department of Nephrology, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Feng Zheng
- Nephrology Department, The Second Hospital of Dalian Medical University, Dalian, China
| | - Ping Luo
- Nephrology Department, The Second Hospital of Jilin University, Changchun, China
| | - Gang Long
- Department of Nephrology, Tianjin Union Medical Center, Tianjin, China
| | - Wei Lu
- Department of Nephrology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kanghui Li
- Nephrology Department, The Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Junwei Yang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | | | - Zhizheng Zhang
- Shanghai Alebund Pharmaceuticals Limited, Shanghai, China
| | - Xiaolin Li
- Shanghai Alebund Pharmaceuticals Limited, Shanghai, China
| | - Weifeng Zhang
- Shanghai Alebund Pharmaceuticals Limited, Shanghai, China
| | - Li Zuo
- Department of Nephrology, Peking University People's Hospital, Beijing, China
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Zeng B, Liu P, Wu X, Zheng F, Jiang J, Zhang Y, Liao X. Comparison of ANN and LR models for predicting Carbapenem-resistant Klebsiella pneumoniae isolates from a southern province of China's RNSS data. J Glob Antimicrob Resist 2024; 36:453-459. [PMID: 37918787 DOI: 10.1016/j.jgar.2023.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023] Open
Abstract
OBJECTIVES Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a serious threat to public health due to its limited treatment options and high mortality rate. This study aims to identify the risk factors of carbapenem resistance in patients with K. pneumoniae isolates and develop CRKP prediction models using logistic regression (LR) and artificial neural network (ANN) methods. METHODS We retrospectively analysed the data of 49,774 patients with Klebsiella pneumoniae isolates from a regional nosocomial infection surveillance system (RNSS) between 2018 and 2021. We performed logistic regression analyses to determine the independent predictors for CRKP. We then built and evaluated LR and ANN models based on these predictors using calibration curves, ROC curves, and decision curve analysis (DCA). We also applied the Synthetic Minority Over-Sampling Technique (SMOTE) to balance the data of CRKP and non-CRKP groups. RESULTS The LR model showed good discrimination and calibration in both training and validation sets, with areas under the ROC curve (AUROC) of 0.824 and 0.825, respectively. The DCA indicated that the LR model had clinical usefulness for decision making. The ANN model outperformed the LR model both in the training set and validation set. The SMOTE technique improved the performance of both models for CRKP detection in training set, but not in the validation set. CONCLUSION We developed and validated LR and ANN models for predicting CRKP based on RNSS data. Both models were feasible and reliable for CRKP inference and could potentially assist clinicians in selecting appropriate empirical antibiotics and reducing unnecessary medical resource utilization.
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Affiliation(s)
- Bangwei Zeng
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou City, Fujian Province, China.
| | - Peijun Liu
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou City, Fujian Province, China
| | - Xiaoyan Wu
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou City, Fujian Province, China
| | - Feng Zheng
- Information Department, Fujian Medical University Union Hospital, Fuzhou City, Fujian Province, China
| | - Jiehong Jiang
- Hangzhou Xinlin Information Technology Company, Hangzhou City, Zhejiang Province, China
| | - Yangmei Zhang
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou City, Fujian Province, China
| | - Xiaohua Liao
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou City, Fujian Province, China
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Zheng F, Sun YQ, Zhang HX, Zhang HB, He BH, Jia ZY, Li Q. [Epidemiological and spatial-temporal clustering characteristics of pertussis in Hebei Province from 2013 to 2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:213-219. [PMID: 38413059 DOI: 10.3760/cma.j.cn112338-20230811-00064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To analyze the spatial-temporal epidemiological characteristics of pertussis from 2013 to 2022 in Hebei Province and to provide a reference for improving prevention and control measures. Methods: Based on the data of pertussis reported in Hebei Province during 2013-2022 to analyze the popular characteristic, the ArcGIS 10.8 software was used to construct a ring map and to perform spatial autocorrelation analysis; the SaTScan 10.1 software was used for spatial-temporal scan statistics. Results: There were 6 715 cases of the cumulative report in Hebei Province from 2013 to 2022 without death. The annual report incidence was 0.90/100 000. The overall incidence rate showed an upward trend from 2013 to 2019, and during 2020-2021, it showed a sharp decline, but in 2022, it showed a sharp increase. Summer and autumn are the peak seasons of the epidemic. The incidence was highest in age group <1 year (48.67%), and the lowest age group in age group ≥15 years (0.45%) and mainly scattered children (78.03%); the incidence about men is higher than women. Spatial autocorrelation analysis showed that the onset of pertussis has spatial clustering, and high-high clusters were found in Langfang, Baoding, and Cangzhou, the top three countries with reported incidence. The area covered by a low-low cluster was consistent with the distribution of the corresponding low-incidence areas in this study. Space-time scan detects five statistically significant areas, and three zones were concentrated in 2022. Conclusions: The incidence of pertussis in Hebei had obvious season, population, and area-specific differences. There was obvious spatiotemporal and clustering, so the control of key areas should target the characteristics of time and space.
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Affiliation(s)
- F Zheng
- School of Public Health, North China University of Science and Technology, Tangshan 063210, China
| | - Y Q Sun
- Hebei Provincial Center for Disease Control and Prevention, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang 050021, China
| | - H X Zhang
- Hebei Provincial Center for Disease Control and Prevention, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang 050021, China
| | - H B Zhang
- Hebei Provincial Center for Disease Control and Prevention, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang 050021, China
| | - B H He
- Hebei Provincial Center for Disease Control and Prevention, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang 050021, China
| | - Z Y Jia
- Hebei Provincial Center for Disease Control and Prevention, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang 050021, China
| | - Q Li
- Hebei Provincial Center for Disease Control and Prevention, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang 050021, China
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Hou J, Ji Z, Yang J, Wang C, Zheng F. MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes. IEEE Trans Image Process 2024; 33:1095-1108. [PMID: 38294916 DOI: 10.1109/tip.2024.3358675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
Video inpainting gains an increasing amount of attention ascribed to its wide applications in intelligent video editing. However, despite tremendous progress made in RGB video inpainting, the existing RGB-D video inpainting models are still incompetent to inpaint real-world RGB-D videos, as they simply fuse color and depth via explicit feature concatenation, neglecting the natural modality gap. Moreover, current RGB-D video inpainting datasets are synthesized with homogeneous and delusive RGB-D data, which is far from real-world application and cannot provide comprehensive evaluation. To alleviate these problems and achieve real-world RGB-D video inpainting, on one hand, we propose a Mutually-guided Color and Depth Inpainting Network (MCD-Net), where color and depth are reciprocally leveraged to inpaint each other implicitly, mitigating the modality gap and fully exploiting cross-modal association for inpainting. On the other hand, we build a Video Inpainting with Depth (VID) dataset to supply diverse and authentic RGB-D video data with various object annotation masks to enable comprehensive evaluation for RGB-D video inpainting under real-world scenes. Experimental results on the DynaFill benchmark and our collected VID dataset demonstrate our MCD-Net not only yields the state-of-the-art quantitative performance but successfully achieves high-quality RGB-D video inpainting under real-world scenes. All resources are available at https://github.com/JCATCV/MCD-Net.
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Liu P, Zeng B, Wu X, Zheng F, Zhang Y, Liao X. Risk exploration and prediction model construction for linezolid-resistant Enterococcus faecalis based on big data in a province in southern China. Eur J Clin Microbiol Infect Dis 2024; 43:259-268. [PMID: 38032514 PMCID: PMC10821975 DOI: 10.1007/s10096-023-04717-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 11/15/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Enterococcus faecalis is a common cause of healthcare-associated infections. Its resistance to linezolid, the antibiotic of last resort for vancomycin-resistant enterococci, has become a growing threat in healthcare settings. METHODS We analyzed the data of E. faecalis isolates from 26 medical institutions between 2018 and 2020 and performed univariate and multivariate logistic regression analyses to determine the independent predictors for linezolid-resistant E. faecalis (LREFs). Then, we used the artificial neural network (ANN) and logistic regression (LR) to build a prediction model for linezolid resistance and performed a performance evaluation and comparison. RESULTS Of 12,089 E. faecalis strains, 755 (6.25%) were resistant to linezolid. Among vancomycin-resistant E. faecalis, the linezolid-resistant rate was 24.44%, higher than that of vancomycin-susceptible E. faecalis (p < 0.0001). Univariate and multivariate regression analyses showed that gender, age, specimen type, length of stay before culture, season, region, GDP (gross domestic product), number of beds, and hospital level were predictors of linezolid resistance. Both the ANN and LR models constructed in the study performed well in predicting linezolid resistance in E. faecalis, with AUCs of 0.754 and 0.741 in the validation set, respectively. However, synthetic minority oversampling technique (SMOTE) did not improve the prediction ability of the models. CONCLUSION E. faecalis linezolid-resistant rates varied by specimen site, geographic region, GDP level, facility level, and the number of beds. At the same time, community-acquired E. faecalis with linezolid resistance should be monitored closely. We can use the prediction model to guide clinical medication and take timely prevention and control measures.
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Affiliation(s)
- Peijun Liu
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian Province, China
| | - Bangwei Zeng
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian Province, China.
| | - Xiaoyan Wu
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian Province, China
| | - Feng Zheng
- Information Department, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian Province, China
| | - Yangmei Zhang
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian Province, China
| | - Xiaohua Liao
- Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian Province, China
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Ruan H, Li X, Zhou L, Zheng Z, Hua R, Wang X, Wang Y, Fan Y, Guo S, Wang L, Ur Rahman S, Wang Z, Wei Y, Yu S, Zhang R, Cheng Q, Sheng J, Li X, Liu X, Yuan R, Zhang X, Chen L, Xu G, Guan Y, Nie J, Qin H, Zheng F. Melatonin decreases GSDME mediated mesothelial cell pyroptosis and prevents peritoneal fibrosis and ultrafiltration failure. Sci China Life Sci 2024; 67:360-378. [PMID: 37815699 DOI: 10.1007/s11427-022-2365-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 05/12/2023] [Indexed: 10/11/2023]
Abstract
Peritoneal fibrosis together with increased capillaries is the primary cause of peritoneal dialysis failure. Mesothelial cell loss is an initiating event for peritoneal fibrosis. We find that the elevated glucose concentrations in peritoneal dialysate drive mesothelial cell pyroptosis in a manner dependent on caspase-3 and Gasdermin E, driving downstream inflammatory responses, including the activation of macrophages. Moreover, pyroptosis is associated with elevated vascular endothelial growth factor A and C, two key factors in vascular angiogenesis and lymphatic vessel formation. GSDME deficiency mice are protected from high glucose induced peritoneal fibrosis and ultrafiltration failure. Application of melatonin abrogates mesothelial cell pyroptosis through a MT1R-mediated action, and successfully reduces peritoneal fibrosis and angiogenesis in an animal model while preserving dialysis efficacy. Mechanistically, melatonin treatment maintains mitochondrial integrity in mesothelial cells, meanwhile activating mTOR signaling through an increase in the glycolysis product dihydroxyacetone phosphate. These effects together with quenching free radicals by melatonin help mesothelial cells maintain a relatively stable internal environment in the face of high-glucose stress. Thus, Melatonin treatment holds some promise in preserving mesothelium integrity and in decreasing angiogenesis to protect peritoneum function in patients undergoing peritoneal dialysis.
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Affiliation(s)
- Hongxia Ruan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Xuejuan Li
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China.
- Wuhu Hospital and Health Science Center, East China Normal University, Shanghai, 200241, China.
| | - Lina Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Zihan Zheng
- Chongqing International Institute for Immunology, Chongqing, 401320, China
| | - Rulin Hua
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Xu Wang
- Department of Nephrology, Shenzhen Hospital, Southern Medical University, Shenzhen, 518101, China
| | - Yuan Wang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Yujie Fan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Shuwen Guo
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Lihua Wang
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Shafiq Ur Rahman
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Ziwei Wang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Yuyuan Wei
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Shuangyan Yu
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Rongzhi Zhang
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Qian Cheng
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Jie Sheng
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Xue Li
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Xiaoyan Liu
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China
| | - Ruqiang Yuan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Xiaoyan Zhang
- Wuhu Hospital and Health Science Center, East China Normal University, Shanghai, 200241, China
| | - Lihong Chen
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
- Wuhu Hospital and Health Science Center, East China Normal University, Shanghai, 200241, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Youfei Guan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
- Wuhu Hospital and Health Science Center, East China Normal University, Shanghai, 200241, China
| | - Jing Nie
- Peking University First Hospital, Peking University, Beijing, 100034, China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
| | - Feng Zheng
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.
- Department of Nephrology, Second Hospital, Dalian Medical University, Dalian, 116023, China.
- Wuhu Hospital and Health Science Center, East China Normal University, Shanghai, 200241, China.
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22
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Dong P, Dai W, Su M, Wang S, Ma Y, Zhao T, Zheng F, Sun P. The potential role of the orexin system in premenstrual syndrome. Front Endocrinol (Lausanne) 2024; 14:1266806. [PMID: 38292774 PMCID: PMC10824941 DOI: 10.3389/fendo.2023.1266806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 12/29/2023] [Indexed: 02/01/2024] Open
Abstract
Premenstrual syndrome (PMS) occurs recurrently during the luteal phase of a woman's menstrual cycle and disappears after menstruation ends. It is characterized by abnormal changes in both the body and mood, and in certain cases, severe disruptions in daily life and even suicidal tendencies. Current drugs for treating PMS, such as selective serotonin reuptake inhibitors, do not yield satisfactory results. Orexin, a neuropeptide produced in the lateral hypothalamus, is garnering attention in the treatment of neurological disorders and is believed to modulate the symptoms of PMS. This paper reviews the advancements in research on sleep disturbances, mood changes, and cognitive impairment caused by PMS, and suggests potential pathways for orexin to address these symptoms. Furthermore, it delves into the role of orexin in the molecular mechanisms underlying PMS. Orexin regulates steroid hormones, and the cyclic fluctuations of estrogen and progesterone play a crucial role in the pathogenesis of PMS. Additionally, orexin also modulates the gamma-aminobutyric acid (GABA) system and the inflammatory response involved in coordinating the mechanism of PMS. Unraveling the role of orexin in the pathogenesis of PMS will not only aid in understanding the etiology of PMS but also hold implications for orexin as a novel target for treating PMS.
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Affiliation(s)
- Ping Dong
- School of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Weibo Dai
- Department of Pharmacy, Zhongshan Hospital of Traditional Chinese Medicine, Zhong Shan, China
| | - Mengyue Su
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Shukun Wang
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuexiang Ma
- School of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Tingting Zhao
- College of Foreign Languages, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Peng Sun
- Innovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
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Qiao L, Li J, Nam S, Duan Y, Cheng L, Zhong Z, Ding S, Zhang Q, Zheng F. The effect of health coaching on blood pressure control and disease self-management among patients in rural area in China: a randomized controlled trial. Hypertens Res 2024:10.1038/s41440-023-01550-1. [PMID: 38228748 DOI: 10.1038/s41440-023-01550-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/24/2023] [Accepted: 12/02/2023] [Indexed: 01/18/2024]
Abstract
The self-management education for patients with hypertension has not been widely provided in rural areas of China. Our study aimed to examine the effect of health coaching intervention on controlling BP and improving self-management skills among rural resident of ≤6 month-history of hypertension. A total of 102 participants were enrolled in the RCT. The control group received usual health guidance and follow-up management; the experimental group received health coaching and follow up management. The primary outcomes were the difference in changes of BP and mean self-management scores. The secondary outcomes included waist circumference, body mass index (BMI), and medication literacy. Participants in the experimental group showed a significantly greater improvement with respect to systolic BP and diastolic BP respectively (133.85 ± 4.74 mmHg vs 127.96 ± 5.42 mmHg;80.94 ± 5.52 mmHg vs 77.37 ± 4.44 mmHg, P < 0.05) and BMI (24.66 ± 2.19 kg/m2 vs 23.44 ± 2.05 kg/m2, P < 0.05) compared with the control group. A significant difference was also observed between the experimental and control groups in terms of self-management and medication literacy at both 3 and 6 months (P < 0.05). However, there was no significant difference in changes of waist circumferences between the two groups (22.6% vs 38.8%). In conclusion, for patients with diagnosed with hypertension within the last 6 months, health coaching maybe is an effective approach to control blood pressure and improve medication literacy and self-management skills.
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Affiliation(s)
- Li Qiao
- Nursing Department, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
- College of Nursing, Anhui University of Chinese Medicine, Hefei, 230012, China
| | - Jingle Li
- Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
| | - Soohyun Nam
- School of Nursing, Yale University, 400 West Campus, Orange, CT, 06477, USA
| | - Yinglong Duan
- Nursing Department, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
- Department of Emergency and Critical Care Medicine, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
| | - Ling Cheng
- Xiangya School of Nursing, Central South University, Changsha, 410013, China
| | - Zhuqing Zhong
- Nursing Department, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
| | - Siqing Ding
- Nursing Department, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
| | - Qiuxiang Zhang
- Nursing Department, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China
| | - Feng Zheng
- Nursing Department, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China.
- Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410013, China.
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Chen L, Yuan J, He X, Zheng F, Lu X, Xiang S, Lu Q. Controllable Circularly Polarized Luminescence with High Dissymmetry Factor via Co-Assembly of Achiral Dyes in Liquid Crystal Polymer Films. Small Methods 2024:e2301517. [PMID: 38221818 DOI: 10.1002/smtd.202301517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/29/2023] [Indexed: 01/16/2024]
Abstract
Circularly polarized luminescence (CPL) materials are highly demanded due to their great potential in optoelectronic and chiroptical elements. However, the preparation of CPL films with high luminescence dissymmetry factors (glum ) remains a formidable task, which impedes their practical application in film-based devices. Herein, a facile strategy to prepare solid CPL film with a high glum through exogenous chiral induction and amplification of liquid crystal polymers is proposed. Amplification and reversion of the CPL appear when the films are annealed at the chiral nematic liquid crystalline temperature and the maximal glum up to 0.30 due to the enhancement of selective reflection. Thermal annealing treatment at different liquid crystalline states facilitates the formation of the chiral liquid phase and adjusts the circularly polarized emission. This work not only provides a straightforward and versatile platform to construct organic films capable of exhibiting strong circularly polarized emission but also is helpful in understanding the exact mechanism for the liquid crystal enhancement of CPL performance.
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Affiliation(s)
- Lianjie Chen
- School of Chemical Science and Technology, Tongji University, Shanghai, 200092, China
| | - Jianan Yuan
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai Key Laboratory of Electrical Insulation and Thermal Aging, Shanghai, 200240, China
| | - Xiaojie He
- School of Chemical Science and Technology, Tongji University, Shanghai, 200092, China
| | - Feng Zheng
- School of Chemical Science and Technology, Tongji University, Shanghai, 200092, China
| | - Xuemin Lu
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai Key Laboratory of Electrical Insulation and Thermal Aging, Shanghai, 200240, China
| | - Shuangfei Xiang
- School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Qinghua Lu
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai Key Laboratory of Electrical Insulation and Thermal Aging, Shanghai, 200240, China
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25
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Wang Z, Li R, Liu H, Liu X, Zheng F, Yu C. Reduced graphene oxide/SiC nanowire composite aerogel prepared by a hydrothermal method with excellent thermal insulation performance and electromagnetic wave absorption performance. Nanotechnology 2024; 35:135703. [PMID: 38134441 DOI: 10.1088/1361-6528/ad183d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/22/2023] [Indexed: 12/24/2023]
Abstract
In aerospace and downhole exploration, materials must function reliably in challenging environments characterized by high temperatures and complex electromagnetic (EM) interference. Graphene oxide (GO) aerogels are promising materials for thermal insulation, and the incorporation of silicon carbide nanowires can enhance their mechanical properties, thermal stability and EM absorption efficiency. In this context, citric acid acts as both a cross-linking and reducing agent, facilitating the formation of a composite aerogel comprising GO and SiC nanowires (rGO/m-SiC NWs). Compared with GO aerogels, the representative composite aerogel sample rGS4 demonstrated significantly improved mechanical properties (yield strength increased by 0.031 MPa), outstanding thermal stability (ability to withstand temperatures up to 800 °C) and remarkably low thermal conductivity (measuring just 0.061 W m-1K-1). Importantly, the composite aerogels displayed impressive EM absorption characteristics, including a slim profile (2.5 mm), high absorption capacity (-42.23 dB) and an exceptionally broad effective absorption bandwidth (7.47 GHz). Notably, the specific effective absorption bandwidth of composite aerogels exceeded that of similar composite materials. In conclusion, rGO/m-SiC NWs exhibited exceptional mechanical properties, remarkable thermal stability, efficient thermal insulation and outstanding microwave absorption capabilities. These findings highlight their potential for use in high-temperature and electromagnetically challenging environments.
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Affiliation(s)
- Zhijian Wang
- College of Mechanical and Electrical Engineering, Shenyang Aerospace University, Shenyang 110136, People's Republic of China
| | - Rong Li
- College of Mechanical and Electrical Engineering, Shenyang Aerospace University, Shenyang 110136, People's Republic of China
| | - He Liu
- CNPC Bohai Drilling Engineering Company Ltd., Tianjin 300457, People's Republic of China
| | - Xingmin Liu
- College of Material Science and Engineering, Shenyang Aerospace University, Shenyang 110136, People's Republic of China
| | - Feng Zheng
- CNPC Bohai Drilling Engineering Company Ltd., Tianjin 300457, People's Republic of China
| | - Chen Yu
- CNPC Bohai Drilling Engineering Company Ltd., Tianjin 300457, People's Republic of China
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26
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Liu L, Jiang X, Zheng F, Chen H, Qi GJ, Huang H, Shao L. A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans Pattern Anal Mach Intell 2024; 46:1-16. [PMID: 37812559 DOI: 10.1109/tpami.2023.3322743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data. Most existing FL methods train local models separately on different clients, and then simply average their parameters to obtain a centralized model on the server side. However, these approaches generally suffer from large aggregation errors and severe local forgetting, which are particularly bad in heterogeneous data settings. To tackle these issues, in this paper, we propose a novel FL framework that uses online Laplace approximation to approximate posteriors on both the client and server side. On the server side, a multivariate Gaussian product mechanism is employed to construct and maximize a global posterior, largely reducing the aggregation errors induced by large discrepancies between local models. On the client side, a prior loss that uses the global posterior probabilistic parameters delivered from the server is designed to guide the local training. Binding such learning constraints from other clients enables our method to mitigate local forgetting. Finally, we achieve state-of-the-art results on several benchmarks, clearly demonstrating the advantages of the proposed method.
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27
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Acosta S, Hassan AM, Gugala Z, Karagoli Z, Hochstetler J, Kiskaddon AL, Checchia P, Faraoni D, Zheng F, Savorgnan F. Higher Cumulative Dose of Opioids and Other Sedatives are Associated with Extubation Failure in Norwood Patients. Pediatr Cardiol 2024; 45:8-13. [PMID: 37880385 DOI: 10.1007/s00246-023-03318-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/03/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND The primary purpose of this study is to evaluate the relationship between sedation usage and extubation failure, and to control for the effects of hemodynamic, oximetric indices, clinical characteristics, ventilatory settings pre- and post-extubation, and echocardiographic (echo) findings in neonates with hypoplastic left heart syndrome (HLHS) post-Norwood procedure. METHODS Single-center, retrospective analysis of Norwood patients during their first extubation post-surgery from January 2015 to July 2021. Extubation failure was defined as reintubation within 48 h of extubation. Demographics, clinical characteristics, ventilatory settings, echo findings (right ventricular function, tricuspid regurgitation), and cumulative dose of sedation medications before extubation were compared between patients with successful or failed extubation. RESULTS The analysis included 130 patients who underwent the Norwood procedure with 121 (93%) successful and 9 (7%) failed extubations. Univariate analyses showed that vocal cord anomaly (p = 0.05), lower end-tidal CO2 (p < 0.01), lower pulse-to-respiratory quotient (p = 0.02), and ketamine administration (p = 0.04) were associated with extubation failure. The use of opioids, benzodiazepines, dexmedetomidine, and ketamine are mutually correlated in this cohort. On multivariable analysis, the vocal cord anomaly (OR = 7.31, 95% CI 1.25-42.78, p = 0.027), pre-extubation end-tidal CO2 (OR = 0.80, 95% CI 0.65-0.97, p = 0.025), and higher cumulative dose of opioids (OR = 10.16, 95% CI 1.25-82.43, p = 0.030) were independently associated with extubation failure while also controlling for post-extubation respiratory support (CPAP/BiPAP/HFNC vs NC), intubation length, and echo results. CONCLUSION Higher cumulative opioid doses were associated with a greater incidence of extubation failure in infants post-Norwood procedure. Therefore, patients with higher cumulative doses of opioids should be more closely evaluated for extubation readiness in this population. Low end-tidal CO2 and low pulse-to-respiratory quotient were also associated with failed extubation. Consideration of the pulse-to-respiratory quotient in the extubation readiness assessment can be beneficial in the Norwood population.
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Affiliation(s)
- Sebastian Acosta
- Department of Pediatrics, Division of Cardiology, Texas Children's Hospital and Baylor College of Medicine, 1102 Bates Ave. Suite 430.01, Houston, Texas, 77030, USA.
| | | | | | | | | | - Amy L Kiskaddon
- Department of Pharmacy, Johns Hopkins All Children's Hospital, St. Petersburg, Florida, USA
- Department of Pediatrics, Division of Cardiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Paul Checchia
- Department of Pediatrics, Division of Critical Care Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - David Faraoni
- Arthur S. Keats Division of Pediatric Cardiovascular Anesthesia, Department of Anesthesiology, Perioperative and Pain Medicine, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA
| | - Feng Zheng
- Department of Pediatrics, Division of Neonatology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Fabio Savorgnan
- Department of Pediatrics, Division of Critical Care Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
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28
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Xu X, Zhou T, Fang X, Hu L, Zhu J, Zheng F. Biological characteristics and pathogenicity of a Staphylococcus aureus strain with an incomplete hemolytic phenotype isolated from bovine milk. Microbiol Immunol 2024; 68:6-14. [PMID: 37985160 DOI: 10.1111/1348-0421.13102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/21/2023] [Accepted: 11/05/2023] [Indexed: 11/22/2023]
Abstract
Staphylococcus aureus is a common pathogen capable of infecting both humans and animals and causing various severe diseases. Here, we aimed to determine the biological features and pathogenicity of S. aureus strain Sa9, of the incomplete hemolysis phenotype, isolated from bovine milk. Sa9 was classified as ST97 by multilocus sequence typing, and it showed increased β-hemolysin expression and lower Hla and Hld expression levels compared with that in the S. aureus USA300 strain LAC. RT-PCR and ELISA results showed that the expression levels of inflammatory cytokines were higher in Sa9-induced mouse primary peritoneal macrophages compared with those induced by the LAC strain. However, the Sa9 strain also mediated anti-inflammatory effects by upregulating IL-10 and IFN-β in macrophages, which were not apparently induced by S. aureus culture supernatants. Phagocytosis and whole-blood survival assays were also performed to assess the in vitro survival of bacteria, and the virulence was evaluated in mice. Although the Sa9 strain showed lower ability of intracellular survival in macrophages than LAC, similar multiplication in human whole blood and pathogenicity toward mice were observed. Taken together, we report that the distinctive immune response induced by the S. aureus strain with an incomplete hemolysis phenotype occurs in cattle, and its potential pathogenicity and risk of transmission to humans require attention.
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Affiliation(s)
- Xiuhua Xu
- Department of Microbiology, Huadong Medical Institute of Biotechniques, Nanjing, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Tingting Zhou
- Department of Microbiology, Huadong Medical Institute of Biotechniques, Nanjing, China
| | - Xueyao Fang
- Key Laboratory of Medicine in Jiangxi Province, Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Longhua Hu
- Key Laboratory of Medicine in Jiangxi Province, Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jin Zhu
- Department of Microbiology, Huadong Medical Institute of Biotechniques, Nanjing, China
| | - Feng Zheng
- Department of Microbiology, Huadong Medical Institute of Biotechniques, Nanjing, China
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29
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Chen X, Liu Y, Stavrinou P, Stavrinou L, Hu W, Goldbrunner R, Zheng F, He H. Spinal cord injury: Olfactory ensheathing cell-based therapeutic strategies. J Neurosci Res 2024; 102:e25283. [PMID: 38284859 DOI: 10.1002/jnr.25283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 08/22/2023] [Accepted: 11/16/2023] [Indexed: 01/30/2024]
Abstract
Spinal cord injury (SCI) is a highly disabling neurological disorder that is difficult to treat due to its complex pathophysiology and nerve regeneration difficulties. Hence, effective SCI treatments are necessary. Olfactory ensheathing cells (OECs), glial cells derived from the olfactory bulb or mucosa, are ideal candidates for SCI treatment because of their neuroprotective and regenerative properties, ample supply, and convenience. In vitro, animal model, and human trial studies have reported discoveries on OEC transplantation; however, shortcomings have also been demonstrated. Recent studies have optimized various OEC transplantation strategies, including drug integration, biomaterials, and gene editing. This review aims to introduce OECs mechanisms in repairing SCI, summarize the research progress of OEC transplantation-optimized strategies, and provide novel research ideas for SCI treatment.
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Affiliation(s)
- Xinli Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yibin Liu
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Pantelis Stavrinou
- Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
- Neurosurgery, Metropolitan Hospital, Athens, Greece
| | - Lampis Stavrinou
- 2nd Department of Neurosurgery, "Attikon" University Hospital, National and Kapodistrian University, Athens Medical School, Athens, Greece
| | - Weipeng Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Roland Goldbrunner
- Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Hefan He
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
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30
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Fang P, Chen C, Zheng F, Jia J, Chen T, Zhu J, Chang J, Zhang Z. Corrigendum to "NLRP3 inflammasome inhibition by histone acetylation ameliorates sevoflurane-induced cognitive impairment in aged mice by activating the autophagy pathway" [Brain Res. Bull. 172 (2021) 79-88]. Brain Res Bull 2024; 206:110850. [PMID: 38142136 DOI: 10.1016/j.brainresbull.2023.110850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2023]
Affiliation(s)
- Peng Fang
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China; Department of Anaesthesiology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China
| | - Chang Chen
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Feng Zheng
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Junke Jia
- Department of Anaesthesiology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310002, China
| | - Ting Chen
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Jinpiao Zhu
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Jing Chang
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Zongze Zhang
- Department of Anaesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
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Yang Y, Zheng F, Li J, Xu Z, Li LL, Duan PF, Tang J, Huang Q. [Application of a new-type of defecator in the treatment of rectal fecal impaction]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:1187-1191. [PMID: 38110281 DOI: 10.3760/cma.j.cn441530-20230720-00008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Objective: This study aimed to investigate the viability and safety of a novel defecator in managing rectal fecal impaction. Methods: In a descriptive case series, this new defecator was administered to constipated individuals among the ages of 18 and 80 years who met the diagnostic criteria for rectal fecal impaction and were identified with acute rectal fecal impaction through CT scans. The contraindications for this defecator included: (1) Anal stenosis, acute intestinal obstruction, and intestinal perforation; (2) Concomitant rectal malignant tumors; (3) Coagulation dysfunction, low platelet counts, gastrointestinal bleeding, or other bleeding risks; (4) Patients with severe underlying conditions affecting the heart, brain, lungs, or other systems; (5) Individuals with mental health disorders. Based on these criteria, clinical data from 42 patients with rectal fecal impaction who underwent treatment with the new defecator at Deyang People's Hospital between July 2020 and April 2023 were retrospectively analyzed.The defecator comprises three components: a head, a spiral rod, and a handle, constructed from disposable stainless steel wire. The treatment procedure involves the following steps: The patient assumes a flexed, supine position on their left side with their buttocks slightly protruding from the bed's edge. A transparent sealing bag is affixed to the buttocks, centered around the anus. With gloved hands inserted through the bag's entrance, a cotton ball soaked in liquid paraffin lubricates the anal canal and the head of the defecator's spiral rod. The defecator is then slowly rotated and inserted into the anus, with careful attention to any changes in resistance. Once the spiral rod is fully inserted, the patient is instructed to inhale and defecate while the defecator is slowly withdrawn, carrying the dislodged fecal matter, and depositing it into the sealed bag. This operation is repeated 2 to 3 times, followed by the injection of either 100 ml of 36°C normal saline or 60 ml of liquid paraffin into the rectum. After a 5 to 8-minute wait, the patient assumes a squatting position to expel any remaining feces from the rectum. The study assessed the operation time, single treatment success rate, pain levels during treatment, and the occurrence of complications. Results: All 42 patients successfully underwent treatment with the new defecator device, achieving a single treatment success rate of 100%. The average operation time was 11.0 minutes (range: 9.0 to 13.3 minutes). During treatment, 20 cases (47.6%) reported moderate to severe anal pain, with 1 case (2.4%) experiencing anal fissure bleeding, and 6 cases (14.3%) reporting discomfort such as palpitations and sweating. No serious complications, including rectal perforation, were observed in any case. Conclusion: The new defecator device demonstrates ease of use and safety, making it a feasible option for treating acute rectal fecal impaction.
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Affiliation(s)
- Y Yang
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - F Zheng
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - J Li
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - Z Xu
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - L L Li
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - P F Duan
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - J Tang
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
| | - Q Huang
- Department of Gastroenterology and Proctology, Deyang People's Hospital, Deyang 618000, China
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Zhou J, Wei S, Guo X, Huang Y, Zhang Y, Hong Y, Chen X, Lu M, Zheng F, Zheng C. Correlation between preoperative peripheral blood NLR, PLR, LMR and prognosis of patients with head and neck squamous cell carcinoma. BMC Cancer 2023; 23:1247. [PMID: 38110870 PMCID: PMC10726578 DOI: 10.1186/s12885-023-11752-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/12/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Markers that can be used to evaluate the prognosis of patients with head and neck squamous cell carcinoma (HNSCC) remain undefined. OBJECTIVE This study aimed to investigate the prognostic impact of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in patients with HNSCC who underwent surgery-based treatment for the first time. METHODS This retrospective study included patients HNSCC who underwent surgery-based treatment at our institution between January 2018 and December 2020. Specificity and sensitivity were analyzed using receiver operating characteristic (ROC) curves and the critical value was determined. Patients were divided into low and high groups according to NLR, PLR, and LMR the critical value. Log-rank and Cox proportional hazards models were used to evaluate the associations between preoperative NLR, PLR, LMR, and overall survival (OS). RESULTS A total of 304 patients with HNSCC were included, of whom 190 (62.5%) and 114 (37.5%), 203 (66.8%) and 101 (33.2%), 98 (32.2%), and 206 (67.8%) cases were classified as low NLR and high NLR groups, low PLR and high PLR groups, and low LMR and high LMR groups, respectively. Univariate analysis showed that white blood cell count (WBC), neutrophil count (NEU), platelet count (PLT), NLR, pathologic N stage (pN stage), TNM stage and postoperative complications were significantly associated with OS (p < 0.05). Multivariate analysis showed that NEU, NLR, TNM stage and postoperative complications were independent negative prognostic factors for HNSCC (p < 0.05). CONCLUSION Preoperative NLR is an independent negative prognostic factor for HNSCC. Patients with an increased NLR may have a poor OS.
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Affiliation(s)
- Jiao Zhou
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Sheng Wei
- Department of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230000, China
| | - Xiumei Guo
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Yanjun Huang
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Yizheng Zhang
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Yuming Hong
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Xiaofang Chen
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Ming Lu
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
| | - Chaohui Zheng
- Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
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Wang X, Zheng H, Yang B, Zu M, Wang Z, Zhang J, Zheng F, Yang M, Tong MCF, Zhao L, Bai W. Estrogen as a guardian of auditory health: Tsp1-CD47 axis regulation and noise-induced hearing loss. Climacteric 2023:1-11. [PMID: 38108225 DOI: 10.1080/13697137.2023.2287632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/17/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVES This study aimed to analyze the role of estrogen in noise-induced hearing loss (NIHL) and uncover underlying mechanisms. METHODS An ovariectomized Sprague-Dawley rat model (OVX) was constructed to investigate the hearing threshold and auditory latency before and after noise exposure using the auditory brainstem response (ABR) test. The morphological changes were assessed using immunofluorescence, scanning electron microscopy and transmission electron microscopy. Proteomics and bioinformatics were used to analyze the mechanism. The findings were further verified through western blot and Luminex liquid suspension chip technology. RESULTS After noise exposure, OVX rats exhibited substantially elevated hearing thresholds. A conspicuous delay in ABR wave I latency was observed, alongside increased loss of outer hair cells, severe collapse of stereocilia and pronounced deformation of the epidermal plate. Accordingly, OVX rats with estrogen supplementation exhibited tolerance to NIHL. Additionally, a remarkable upregulation of the thrombospondin 1 (Tsp1)-CD47 axis in OVX rats was discovered and verified. CONCLUSIONS OVX rats were more susceptible to NIHL, and the protective effect of estrogen was achieved through regulation of the Tsp1-CD47 axis. This study presents a novel mechanism through which estrogen regulates NIHL and offers a potential intervention strategy for the clinical treatment of NIHL.
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Affiliation(s)
- X Wang
- Department of Obstetrics and Gynecology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Otolaryngologic Diseases, Beijing, China
- State Key Lab of Hearing Science, Ministry of Education, Beijing, China
| | - H Zheng
- National Clinical Research Center for Otolaryngologic Diseases, Beijing, China
- State Key Lab of Hearing Science, Ministry of Education, Beijing, China
- Senior Department of Otolaryngology-Head & Neck Surgery, Sixth Medical Center of PLA General Hospital, Beijing, China
| | - B Yang
- Peking University Fifth School of Clinical Medicine, Beijing Hospital, Beijing, China
| | - M Zu
- Institute of Health Service and Transfusion Medicine, Academy of Military Medical Sciences, Beijing, China
| | - Z Wang
- Department of Obstetrics and Gynecology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Beijing, China
| | - J Zhang
- Department of Obstetrics and Gynecology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Beijing, China
| | - F Zheng
- National Clinical Research Center for Otolaryngologic Diseases, Beijing, China
- State Key Lab of Hearing Science, Ministry of Education, Beijing, China
- Senior Department of Otolaryngology-Head & Neck Surgery, Sixth Medical Center of PLA General Hospital, Beijing, China
| | - M Yang
- Department of Obstetrics and Gynecology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Beijing, China
| | - M C F Tong
- Department of Otorhinolaryngology, Head and Neck Surgery, Chinese University of Hong Kong, Hong Kong, China
| | - L Zhao
- National Clinical Research Center for Otolaryngologic Diseases, Beijing, China
- State Key Lab of Hearing Science, Ministry of Education, Beijing, China
- Senior Department of Otolaryngology-Head & Neck Surgery, Sixth Medical Center of PLA General Hospital, Beijing, China
| | - W Bai
- Department of Obstetrics and Gynecology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Beijing, China
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Zheng F, Sun Y, Wang R, Fang Y, Zhang F, Wu S, Lin Q, Wang CZ, Antropov V, Ho KM. Prediction of superconductivity in metallic boron-carbon compounds from 0 to 100 GPa by high-throughput screening. Phys Chem Chem Phys 2023; 25:32594-32601. [PMID: 38009068 DOI: 10.1039/d3cp03844k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2023]
Abstract
Boron-carbon compounds have been shown to have feasible superconductivity. In our earlier paper [Zheng et al., Phys. Rev. B, 2023, 107, 014508], we identified a new conventional superconductor of LiB3C at 100 GPa. Here, we aim to extend the investigation of possible superconductivity in this structural framework by replacing Li atoms with 27 different cations from periods 3, 4, and 5 under pressures ranging from 0 to 100 GPa. Using the high-throughput screening method of zone-center electron-phonon interaction, we found that ternary compounds like CaB3C, SrB3C, TiB3C, and VB3C are promising candidates for superconductivity. The consecutive calculations using the full Brillouin zone confirm that they have a Tc of <31 K at moderate pressures. Our study demonstrates that fast screening of superconductivity by calculating zone-center electron-phonon coupling strength is an effective strategy for high-throughput identification of new superconductors.
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Affiliation(s)
- Feng Zheng
- School of Science, Jimei University, Xiamen 361021, China.
- Department of Physics, OSED, Key Laboratory of Low Dimensional Condensed Matter Physics (Department of Education of Fujian Province), Jiujiang Research Institute, Xiamen University, Xiamen 361005, China.
| | - Yang Sun
- Department of Physics, OSED, Key Laboratory of Low Dimensional Condensed Matter Physics (Department of Education of Fujian Province), Jiujiang Research Institute, Xiamen University, Xiamen 361005, China.
| | - Renhai Wang
- School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Yimei Fang
- Department of Physics, OSED, Key Laboratory of Low Dimensional Condensed Matter Physics (Department of Education of Fujian Province), Jiujiang Research Institute, Xiamen University, Xiamen 361005, China.
| | - Feng Zhang
- Department of Physics, Iowa State University, Ames, Iowa 50011, USA
- Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA
| | - Shunqing Wu
- Department of Physics, OSED, Key Laboratory of Low Dimensional Condensed Matter Physics (Department of Education of Fujian Province), Jiujiang Research Institute, Xiamen University, Xiamen 361005, China.
| | - Qiubao Lin
- School of Science, Jimei University, Xiamen 361021, China.
| | - Cai-Zhuang Wang
- Department of Physics, Iowa State University, Ames, Iowa 50011, USA
- Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA
| | - Vladimir Antropov
- Department of Physics, Iowa State University, Ames, Iowa 50011, USA
- Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA
| | - Kai-Ming Ho
- Department of Physics, Iowa State University, Ames, Iowa 50011, USA
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Liu H, Zheng F, Yao W, Zhu J, Du X, Shi H, Zhu X, Zang X. The impact of aerobic exercise on health-related quality of life among patients undergoing maintenance hemodialysis. Medicine (Baltimore) 2023; 102:e35990. [PMID: 37960758 PMCID: PMC10637439 DOI: 10.1097/md.0000000000035990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023] Open
Abstract
To investigate the effect of exercise on cardiopulmonary function and the life quality of maintenance hemodialysis patients. Eighty-four patients who underwent maintenance hemodialysis treatment for more than 3 months were randomly divided into experimental group and control group. The general data and nutritional indexes, including hemoglobin and plasma albumin, before and after the experiment. The differences in lung function, cardiac ultrasound, cardiopulmonary function, exercise endurance between the 2 groups before and after intervention were compared. The short form 36-item health survey (SF-36) and self-rating depression scale (SDS) were assessed. In our study, the experimental group had better Force vital capacity (FVC) and peak expiratory flow (PEF) after the intervention compared to the control group (P < .05). Anaerobic threshold and 6-minute walk test (6MWT) improved significantly in the experimental group (P < .05), and SF-36 showed better physical functioning, social functioning, general health, and vitality scores in the experimental group compared to the control group (P < .05). In addition, following 24 weeks of exercise, the Depression score of the exercise group showed a statistically significant improvement when compared to the control group (P < .05). After the intervention, hemoglobin improved significantly in the experimental group (P < .05). Intradialytic exercise can improve hemoglobin, Alb, pulmonary function, aerobic capacity, and exercise endurance in maintenance hemodialysis patients, so as to improve the quality of life, which is worthy of further promotion.
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Affiliation(s)
- Haiying Liu
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Feng Zheng
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Weixing Yao
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Juanmei Zhu
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Xiu Du
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Haiyan Shi
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Xuelian Zhu
- Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Xiujuan Zang
- Shanghai Songjiang District Central Hospital, Shanghai, China
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Zheng H, Guo X, Huang X, Xiong Y, Gao W, Ke C, Chen C, Pan Z, Ye L, Wang L, Hu W, Zheng F. Effect of magnesium sulfate on cerebral vasospasm in the treatment of aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. Front Neurol 2023; 14:1249369. [PMID: 38020616 PMCID: PMC10668149 DOI: 10.3389/fneur.2023.1249369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/26/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction The use of magnesium sulfate for treating aneurysmal subarachnoid hemorrhage (aSAH) has shown inconsistent results across studies. To assess the impact of magnesium sulfate on outcomes after aSAH, we conducted a systematic review and meta-analysis of relevant randomized controlled trials. Methods PubMed, Embase, and the Cochrane Library were searched for relevant literature on magnesium sulfate for aSAH from database inception to March 20, 2023. The primary outcome was cerebral vasospasm (CV), and secondary outcomes included delayed cerebral ischemia (DCI), secondary cerebral infarction, rebleeding, neurological dysfunction, and mortality. Results Of the 558 identified studies, 16 comprising 3,503 patients were eligible and included in the analysis. Compared with control groups (saline or standard treatment), significant differences were reported in outcomes of CV [odds ratio (OR) = 0.61, p = 0.04, 95% confidence interval (CI) (0.37-0.99)], DCI [OR = 0.57, p = 0.01, 95% CI (0.37-0.88)], secondary cerebral infarction [OR = 0.49, p = 0.01, 95% CI (0.27-0.87)] and neurological dysfunction [OR = 0.55, p = 0.04, 95% CI (0.32-0.96)] after magnesium sulfate administration, with no significant differences detected in mortality [OR = 0.92, p = 0.47, 95% CI (0.73-1.15)] and rebleeding [OR = 0.68, p = 0.55, 95% CI (0.19-2.40)] between the two groups. Conclusion The superiority of magnesium sulfate over standard treatments for CV, DCI, secondary cerebral infarction, and neurological dysfunction in patients with aSAH was demonstrated. Further randomized trials are warranted to validate these findings with increased sample sizes.
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Affiliation(s)
- Hanlin Zheng
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Xiumei Guo
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
- Department of Neurology, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Xinyue Huang
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Yu Xiong
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Wen Gao
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
- Department of Neurology, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Chuhan Ke
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Chunhui Chen
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Zhigang Pan
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Lichao Ye
- Department of Neurology, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Lingxing Wang
- Department of Neurology, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Weipeng Hu
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
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Liu D, Wu L, Zheng F, Liu L, Wang M. Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. IEEE Trans Neural Netw Learn Syst 2023; 34:8589-8601. [PMID: 35263259 DOI: 10.1109/tnnls.2022.3151631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Person image generation conditioned on natural language allows us to personalize image editing in a user-friendly manner. This fashion, however, involves different granularities of semantic relevance between texts and visual content. Given a sentence describing an unknown person, we propose a novel pose-guided multi-granularity attention architecture to synthesize the person image in an end-to-end manner. To determine what content to draw at a global outline, the sentence-level description and pose feature maps are incorporated into a U-Net architecture to generate a coarse person image. To further enhance the fine-grained details, we propose to draw the human body parts with highly correlated textual nouns and determine the spatial positions with respect to target pose points. Our model is premised on a conditional generative adversarial network (GAN) that translates language description into a realistic person image. The proposed model is coupled with two-stream discriminators: 1) text-relevant local discriminators to improve the fine-grained appearance by identifying the region-text correspondences at the finer manipulation and 2) a global full-body discriminator to regulate the generation via a pose-weighting feature selection. Extensive experiments conducted on benchmarks validate the superiority of our method for person image generation.
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Cheng L, Zhong Z, Ding S, Duan Y, Sun N, Zheng F. Low body mass index and disease duration as factors associated with depressive symptoms of Chinese inpatients with chronic heart failure. J Health Psychol 2023; 28:1227-1237. [PMID: 37209015 DOI: 10.1177/13591053231173583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2023] Open
Abstract
Depression is common in patients with chronic heart failure (CHF), and is associated with an increased risk of adverse health outcomes. There is a paucity of data on this subject from the developing countries. The aim was to examine the prevalence and related factors of depressive symptoms among Chinese inpatients with CHF. A cross-sectional study was conducted. PHQ-9 questionnaire was used to assess depressive symptoms. The overall prevalence of depressive symptoms was 7.5%. Low BMI (OR = 4.837, CI = 1.278-18.301, p = 0.02), disease duration 3-5 years (OR = 5.033, CI = 1.248-20.292, p = 0.023) and 5-10 years (OR = 5.848, CI = 1.440-23.744, p = 0.013) were risk factors for depressive symptoms, while being married (OR = 0.304, CI = 0.123-0.753, p = 0.010) was protective factor. We should pay more attention to patients without a spouse, with low BMI and whose disease duration is between 3 and 10 years in Chinese inpatients with CHF.
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Affiliation(s)
| | | | | | | | - Na Sun
- Central South University, China
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Chen X, Wang X, Liu Y, Guo X, Wu F, Yang Y, Hu W, Zheng F, He H. Plasma D-dimer levels are a biomarker for in-hospital complications and long-term mortality in patients with traumatic brain injury. Front Mol Neurosci 2023; 16:1276726. [PMID: 37965038 PMCID: PMC10641409 DOI: 10.3389/fnmol.2023.1276726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/11/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction Traumatic brain injury (TBI) is a major health concern worldwide. D-dimer levels, commonly used in the diagnosis and treatment of neurological diseases, may be associated with adverse events in patients with TBI. However, the relationship between D-dimer levels, TBI-related in-hospital complications, and long-term mortality in patients with TBI has not been investigated. Here, examined whether elevated D-dimer levels facilitate the prediction of in-hospital complications and mortality in patients with TBI. Methods Overall, 1,338 patients with TBI admitted to our institute between January 2016 and June 2022 were retrospectively examined. D-dimer levels were assessed within 24 h of admission, and propensity score matching was used to adjust for baseline characteristics. Results Among the in-hospital complications, high D-dimer levels were associated with electrolyte metabolism disorders, pulmonary infections, and intensive care unit admission (p < 0.05). Compared with patients with low (0.00-1.54 mg/L) D-dimer levels, the odds of long-term mortality were significantly higher in all other patients, including those with D-dimer levels between 1.55 mg/L and 6.35 mg/L (adjusted hazard ratio [aHR] 1.655, 95% CI 0.9632.843), 6.36 mg/L and 19.99 mg/L (aHR 2.38, 95% CI 1.416-4.000), and >20 mg/L (aHR 3.635, 95% CI 2.195-6.018; p < 0.001). D-dimer levels were positively correlated with the risk of death when the D-dimer level reached 6.82 mg/L. Conclusion Overall, elevated D-dimer levels at admission were associated with adverse outcomes and may predict poor prognosis in patients with TBI. Our findings will aid in the acute diagnosis, classification, and management of TBI.
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Affiliation(s)
- Xinli Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xiaohua Wang
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yingchao Liu
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xiumei Guo
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Fan Wu
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yushen Yang
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Weipeng Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Hefan He
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
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Cao Z, Aharonian F, An Q, Axikegu, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai JT, Cao Q, Cao WY, Cao Z, Chang J, Chang JF, Chen AM, Chen ES, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng N, Cheng YD, Cui MY, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Della Volpe D, Dong XQ, Duan KK, Fan JH, Fan YZ, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng XT, Feng YL, Gabici S, Gao B, Gao CD, Gao LQ, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Giacinti G, Gong GH, Gou QB, Gu MH, Guo FL, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He JY, He XB, He Y, Heller M, Hor YK, Hou BW, Hou C, Hou X, Hu HB, Hu Q, Hu SC, Huang DH, Huang TQ, Huang WJ, Huang XT, Huang XY, Huang Y, Huang ZC, Ji XL, Jia HY, Jia K, Jiang K, Jiang XW, Jiang ZJ, Jin M, Kang MM, Ke T, Kuleshov D, Kurinov K, Li BB, Li C, Li C, Li D, Li F, Li HB, Li HC, Li HY, Li J, Li J, Li J, Li K, Li WL, Li WL, Li XR, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Lu R, Luo Q, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Min Z, Mitthumsiri W, Mu HJ, Nan YC, Neronov A, Ou ZW, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Qi YQ, Qiao BQ, Qin JJ, Ruffolo D, Sáiz A, Semikoz D, Shao CY, Shao L, Shchegolev O, Sheng XD, Shu FW, Song HC, Stenkin YV, Stepanov V, Su Y, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang QW, Tang ZB, Tian WW, Wang C, Wang CB, Wang GW, Wang HG, Wang HH, Wang JC, Wang K, Wang LP, Wang LY, Wang PH, Wang R, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao DX, Xiao G, Xin GG, Xin YL, Xing Y, Xiong Z, Xu DL, Xu RF, Xu RX, Xu WL, Xue L, Yan DH, Yan JZ, Yan T, Yang CW, Yang F, Yang FF, Yang HW, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zha M, Zhang BB, Zhang F, Zhang HM, Zhang HY, Zhang JL, Zhang LX, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zhou B, Zhou H, Zhou JN, Zhou M, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X. Measurement of Ultra-High-Energy Diffuse Gamma-Ray Emission of the Galactic Plane from 10 TeV to 1 PeV with LHAASO-KM2A. Phys Rev Lett 2023; 131:151001. [PMID: 37897763 DOI: 10.1103/physrevlett.131.151001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/08/2023] [Accepted: 08/18/2023] [Indexed: 10/30/2023]
Abstract
The diffuse Galactic γ-ray emission, mainly produced via interactions between cosmic rays and the interstellar medium and/or radiation field, is a very important probe of the distribution, propagation, and interaction of cosmic rays in the Milky Way. In this Letter, we report the measurements of diffuse γ rays from the Galactic plane between 10 TeV and 1 PeV energies, with the square kilometer array of the Large High Altitude Air Shower Observatory (LHAASO). Diffuse emissions from the inner (15°10 TeV). The energy spectrum in the inner Galaxy regions can be described by a power-law function with an index of -2.99±0.04, which is different from the curved spectrum as expected from hadronic interactions between locally measured cosmic rays and the line-of-sight integrated gas content. Furthermore, the measured flux is higher by a factor of ∼3 than the prediction. A similar spectrum with an index of -2.99±0.07 is found in the outer Galaxy region, and the absolute flux for 10≲E≲60 TeV is again higher than the prediction for hadronic cosmic ray interactions. The latitude distributions of the diffuse emission are consistent with the gas distribution, while the longitude distributions show clear deviation from the gas distribution. The LHAASO measurements imply that either additional emission sources exist or cosmic ray intensities have spatial variations.
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Affiliation(s)
- Zhen Cao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Aharonian
- Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, 2 Dublin, Ireland
- Max-Planck-Institut for Nuclear Physics, P.O. Box 103980, 69029 Heidelberg, Germany
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Axikegu
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y X Bai
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - D Bastieri
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - X J Bi
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Bi
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J T Cai
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Q Cao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - W Y Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Zhe Cao
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J F Chang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - A M Chen
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - E S Chen
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Liang Chen
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Lin Chen
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Long Chen
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M J Chen
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M L Chen
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - Q H Chen
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - S H Chen
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S Z Chen
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T L Chen
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - N Cheng
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y D Cheng
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Cui
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S W Cui
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - X H Cui
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Y D Cui
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B Z Dai
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - H L Dai
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - Z G Dai
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Danzengluobu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - D Della Volpe
- Département de Physique Nucléaire et Corpusculaire, Faculté de Sciences, Université de Genève, 24 Quai Ernest Ansermet, 1211 Geneva, Switzerland
| | - X Q Dong
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J H Fan
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y Z Fan
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Fang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - K Fang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S H Feng
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X T Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Y L Feng
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - S Gabici
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - B Gao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C D Gao
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - L Q Gao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q Gao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - W Gao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W K Gao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M M Ge
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - L S Geng
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - G Giacinti
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q B Gou
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M H Gu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - F L Guo
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - X L Guo
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Y Guo
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y A Han
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - H H He
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H N He
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Y He
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - X B He
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - Y He
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M Heller
- Département de Physique Nucléaire et Corpusculaire, Faculté de Sciences, Université de Genève, 24 Quai Ernest Ansermet, 1211 Geneva, Switzerland
| | - Y K Hor
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B W Hou
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C Hou
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Hou
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - H B Hu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q Hu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S C Hu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D H Huang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - T Q Huang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W J Huang
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - X T Huang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X Y Huang
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y Huang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z C Huang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X L Ji
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - H Y Jia
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - K Jia
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - K Jiang
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - X W Jiang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z J Jiang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Jin
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M M Kang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - T Ke
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Kuleshov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - K Kurinov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - B B Li
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Cong Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - H B Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H C Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H Y Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Jian Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Jie Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - K Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W L Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W L Li
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - X R Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Xin Li
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Y Z Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhe Li
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhuo Li
- School of Physics, Peking University, 100871 Beijing, China
| | - E W Liang
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Y F Liang
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - S J Lin
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B Liu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - C Liu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Liu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - H Liu
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H D Liu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - J Liu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Liu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J Y Liu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Liu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - R Y Liu
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - S M Liu
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W Liu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Liu
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y N Liu
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - R Lu
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Q Luo
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - H K Lv
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Ma
- School of Physics, Peking University, 100871 Beijing, China
| | - L L Ma
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X H Ma
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J R Mao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Min
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Mitthumsiri
- Department of Physics, Faculty of Science, Mahidol University, 10400 Bangkok, Thailand
| | - H J Mu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - Y C Nan
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - A Neronov
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - Z W Ou
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - B Y Pang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - P Pattarakijwanich
- Department of Physics, Faculty of Science, Mahidol University, 10400 Bangkok, Thailand
| | - Z Y Pei
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - M Y Qi
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Q Qi
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - B Q Qiao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J J Qin
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - D Ruffolo
- Department of Physics, Faculty of Science, Mahidol University, 10400 Bangkok, Thailand
| | - A Sáiz
- Department of Physics, Faculty of Science, Mahidol University, 10400 Bangkok, Thailand
| | - D Semikoz
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - C Y Shao
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - L Shao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - O Shchegolev
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - X D Sheng
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F W Shu
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science & Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - H C Song
- School of Physics, Peking University, 100871 Beijing, China
| | - Yu V Stenkin
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - V Stepanov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Y Su
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Q N Sun
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X N Sun
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Z B Sun
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - P H T Tam
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - Q W Tang
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science & Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - Z B Tang
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - W W Tian
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - C Wang
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - C B Wang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G W Wang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - H G Wang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - H H Wang
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - J C Wang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - K Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - L P Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - L Y Wang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - P H Wang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - R Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W Wang
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - X G Wang
- School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - X Y Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Y Wang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y D Wang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Wang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z H Wang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z X Wang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Zhen Wang
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zheng Wang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y J Wei
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T Wen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - C Y Wu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H R Wu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S Wu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X F Wu
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y S Wu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S Q Xi
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J Xia
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Xia
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G M Xiang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D X Xiao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - G Xiao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - G G Xin
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y L Xin
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Xing
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Z Xiong
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D L Xu
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - R F Xu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R X Xu
- School of Physics, Peking University, 100871 Beijing, China
| | - W L Xu
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D H Yan
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J Z Yan
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T Yan
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C W Yang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - F Yang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - F F Yang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - H W Yang
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - J Y Yang
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - L L Yang
- School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai & 510275 Guangzhou, Guangdong, China
| | - M J Yang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R Z Yang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S B Yang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Y H Yao
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z G Yao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y M Ye
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - L Q Yin
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - N Yin
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X H You
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z Y You
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y H Yu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Q Yuan
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - H Yue
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H D Zeng
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T X Zeng
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - W Zeng
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Zha
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B B Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - F Zhang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H M Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H Y Zhang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - L X Zhang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Li Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P F Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P P Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - R Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S B Zhang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - S R Zhang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S S Zhang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - X P Zhang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y F Zhang
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Yi Zhang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Yong Zhang
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Zhao
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - J Zhao
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Zhao
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - L Z Zhao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S P Zhao
- Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F Zheng
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - B Zhou
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H Zhou
- Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - J N Zhou
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - M Zhou
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science & Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - P Zhou
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - R Zhou
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - X X Zhou
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - C G Zhu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F R Zhu
- School of Physical Science and Technology & School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhu
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - K J Zhu
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, 230026 Hefei, China
| | - X Zuo
- Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
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Zheng F, Wang K. The impact of social media on guideline-concordant cervical cancer-screening: insights from a national survey. Public Health 2023; 223:50-56. [PMID: 37598576 DOI: 10.1016/j.puhe.2023.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 06/12/2023] [Accepted: 07/18/2023] [Indexed: 08/22/2023]
Abstract
OBJECTIVES Cervical cancer is one of the leading causes of cancer mortality in women, yet routine screenings lead to early detection and sometimes even prevention. Screening is an effective way to prevent cervical cancer, and it has been implemented in many countries and regions worldwide, especially in developed countries. However, the incidence of cervical cancer remains a public health problem due to screening disparities in the population. Social media engagement and overloading of online health information may be the cause of this disparity. STUDY DESIGN Cross-sectional study. METHODS Data from the Health Information National Trends Survey (a national survey conducted by the National Cancer Institute) was used to characterise cervical cancer screening into two dimensions; namely, high-frequency screening and guideline-concordant screening. The differences between these two screening frequency behaviours were compared by applying ordered logistic regression and binary logistic regression, and the mechanisms of guideline-concordant screening were explored. RESULTS The factors influencing high-frequency screening and guideline-concordant screening were different. Only self-efficacy (odds ratio [OR] = 1.16; 95% confidence interval [CI] = 0.98, 1.37) had a significant positive association with the high-frequency screening behaviour. Social media engagement (OR = 0.57; 95% CI = 0.33, 0.96) was shown to have a significant negative impact on guideline-concordant screening. A theory-based mechanism of screening behaviour found that traditional health perception factors no longer influence guideline-concordant screening behaviour, whereas environmental factors (e.g., social media) significantly reduce guideline-concordant screening behaviour. CONCLUSIONS The results from this study indicate that while the internet has become the main channel through which women acquire health resources, and social media has become a main platform for people to obtain health information, online information cannot guide people to engage in appropriate healthy behaviours. Overloading of online health information and the digital divide may lead to excessive screening. Consequently, it is important to address the screening disparity caused by health behaviours as a result of environmental factors and the digital divide.
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Affiliation(s)
- F Zheng
- School of Medicine and Health Management, Huazhong University of Science & Technology, Wuhan, Hubei, 430030, China
| | - K Wang
- School of Nursing, Hong Kong Polytechnic University, Hung Hom, Kowloon, HK SAR, China.
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Huang Q, Chen J, Huang Y, Xiong Y, Zhou J, Zhang Y, Lu M, Hu W, Zheng F, Zheng C. The prognostic role of coagulation markers in the progression and metastasis of laryngeal squamous cell carcinoma. BMC Cancer 2023; 23:901. [PMID: 37749514 PMCID: PMC10519099 DOI: 10.1186/s12885-023-11381-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 09/05/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND The application of coagulation-related markers in laryngeal squamous cell carcinoma(LSCC) remains unclear. This study explored the prognostic role of coagulation markers in the progression and metastasis of LSCC. METHODS Coagulation markers of patients with LSCC receiving surgery in the Second Affiliated Hospital of Fujian Medical University in China, from January 2013 to May 2022 were retrospectively analyzed and compared with those of contemporary patients with benign laryngeal diseases. The relationship between clinicopathological features of LSCC and coagulation markers was analyzed with the chi-square and rank sum tests. The ROC curve analysis was utilized to evaluate the diagnostic efficacy of seven coagulation markers for LSCC and its different clinicopathological features, and to find the optimal cutoff value of each coagulation marker. RESULTS 303 patients with LSCC and 533 patients with benign laryngeal diseases were included in the present analysis. Compared to the control group, prothrombin time (PT) (p < 0.001), activated partial thromboplastin time (APTT) (p = 0.001), and Fib (p < 0.001) in patients with LSCC were significantly higher, while mean platelet volume (MPV) (p < 0.001) was significantly shorter. Significant increases were detected in PT (Z = 14.342, p = 0.002), Fib (Z = 25.985, p < 0.001), platelet count (PC) (Z = 12.768, p = 0.005), PCT (Z = 9.178, p = 0.027), MPV (F = 2.948, p = 0.033) in T4 stage. Fib had the highest prognostic value among the seven coagulation markers in different T stages (AUC = 0.676, p < 0.001), N stages (AUC = 0.717, p < 0.001), tumor stage (AUC = 0.665, p < 0.001), differentiation degree (AUC = 0.579, p = 0.022), and neurovascular invasion (AUC = 0.651, p = 0.007). Fib (Z = 25.832, p < 0.001), PC (Z = 23.842, p < 0.001), and PCT (Z = 20.15, p < 0.001) in N1 and N3 stages were significantly higher than in N0 stage. PT (Z = 12.174, p = 0.007), Fib (Z = 23.873, p < 0.001), PC (Z = 17.785, p < 0.001), and PCT (Z = 14.693, p = 0.002) were significantly higher in stage IV than in stage I and II. APTT (Z=-1.983, p = 0.047), Fib (Z=-2.68, p = 0.007), PC (Z=-2.723, p = 0.006), and PCT (Z=-2.592, p = 0.01) increased significantly when the tumor invaded neurovascular tissue. CONCLUSIONS Coagulation markers have the potential to act as biomarkers for predicting pathological features of LSCC. The high level of Fib was helpful for the diagnosis of LSCC and the detection of advanced LSCC. TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- Qiongling Huang
- Department of Otolaryngology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Jing Chen
- Quanzhou Medical College, Quanzhou, 362000, Fujian Province, China
| | - Yanjun Huang
- Department of Otolaryngology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Yu Xiong
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Jiao Zhou
- Department of Otolaryngology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Yizheng Zhang
- Department of Otolaryngology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Ming Lu
- Department of Otolaryngology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China
| | - Weipeng Hu
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China.
| | - Feng Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China.
| | - Chaohui Zheng
- Department of Otolaryngology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, 362000, Fujian Province, China.
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Zhu J, Chen C, Wu J, He M, Li S, Fang Y, Zhou Y, Xu H, Sadigh-Eteghad S, Manyande A, Zheng F, Chen T, Xu F, Ma D, Wang J, Zhang Z. Effects of propofol and sevoflurane on social and anxiety-related behaviours in sleep-deprived rats. Br J Anaesth 2023; 131:531-541. [PMID: 37543435 DOI: 10.1016/j.bja.2023.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 08/07/2023] Open
Abstract
BACKGROUND Sleep disorders can profoundly affect neurological function. We investigated changes in social and anxiety-related brain functional connectivity induced by sleep deprivation, and the potential therapeutic effects of the general anaesthetics propofol and sevoflurane in rats. METHODS Twelve-week-old male Sprague-Dawley rats were subjected to sleep deprivation for 20 h per day (from 14:00 to 10:00 the next day) for 4 consecutive weeks. They were free from sleep deprivation for the remaining 4 h during which they received propofol (40 mg kg-1 i.p.) or sevoflurane (2% for 2 h) per day or no treatment. These cohorts were instrumented for EEG/EMG recordings on days 2, 14, and 28. Different cohorts were used for open field and three-chambered social behavioural tests, functional MRI, nuclear magnetic resonance spectroscopy, and positron emission tomography imaging 48 h after 4 weeks of sleep deprivation. RESULTS Propofol protected against sleep deprivation-induced anxiety behaviours with more time (44.7 [8.9] s vs 24.2 [4.1] s for the sleep-deprivation controls; P<0.001) spent in the central area of the open field test and improved social preference index by 30% (all P<0.01). Compared with the sleep-deprived rats, propofol treatment enhanced overall functional connectivity by 74% (P<0.05) and overall glucose metabolism by 30% (P<0.01), and improved glutamate kinetics by 20% (P<0.05). In contrast, these effects were not found after sevoflurane treatment. CONCLUSIONS Unlike sevoflurane, propofol reduced sleep deprivation-induced social and anxiety-related behaviours. Propofol might be superior to sevoflurane for patients with sleep disorders who receive anaesthesia, which should be studied in clinical studies.
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Affiliation(s)
- Jinpiao Zhu
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Chang Chen
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Jinfeng Wu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Mengying He
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China; Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Shuang Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Yuanyuan Fang
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China; Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Yan Zhou
- Frontier Science Center for Immunology and Metabolism, and Medical Research Institute at School of Medicine, Wuhan University, Wuhan, China
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Saeed Sadigh-Eteghad
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Anne Manyande
- School of Human and Social Sciences, University of West London, London, UK
| | - Feng Zheng
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Ting Chen
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Fuqiang Xu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Daqing Ma
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, UK; Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jie Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China.
| | - Zongze Zhang
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China.
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Alam J, Khaliel M, Zheng F, Solbach K, Kaiser T. Clutter Effect Investigation on Co-Polarized Chipless RFID Tags and Mitigation Using Cross-Polarized Tags, Analytical Model, Simulation, and Measurement. Sensors (Basel) 2023; 23:7562. [PMID: 37688017 PMCID: PMC10490691 DOI: 10.3390/s23177562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/26/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023]
Abstract
Chipless radio frequency identification (RFID) technology is expected to replace barcode technology due to its ability to read in non-line-of-sight (NLOS) situations, long reading range, and low cost. Currently, there is extensive research being conducted on frequency-coded (FC) co-polarized radar cross-section (RCS)-based tags, which are widely used. However, detecting co-polarized chipless RFID tags in cluttered environments is still a challenge, as confirmed by measuring two co-polarized tags in front of a perfect metal reflector (30.5cm×22.5cm). To address this challenge, a realistic mathematical model for a chipless RFID system has been developed that takes into account the characteristics of the reader and the tag, as well as reflections from cluttered objects. This extensive mathematical model developed for linear chipless RFID systems in clutter scenarios holds the potential to greatly assist researchers in their exploration of RCS-based tags. By relying solely on simulations, this model provides a tool to effectively analyze and understand RCS-based tags, ultimately simplifying the process of generating more authentic tag designs. This model has been simulated and verified with measurement results by placing a single flat metal reflector behind two co-polarized one-bit designs: a dipole array tag and a square patch tag. The results showed that the interfering signal completely overlaps the ID of the co-polarized tag, severely limiting its detectability. To solve this issue, the proposed solution involves reading the tag in cross-polarization mode by etching a diagonal slot in the square patch tag. This proposed tag provides high immunity to the environment and can be detected in front of both dielectric and metallic objects.
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Affiliation(s)
- Jahangir Alam
- Institute of Digital-Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
| | - Maher Khaliel
- Institute of Digital-Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
- Benha Faculty of Engineering, Benha University, Benha 13511, Egypt
| | - Feng Zheng
- Institute of Digital-Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
| | - Klaus Solbach
- Institute of Digital-Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
| | - Thomas Kaiser
- Institute of Digital-Signal Processing, University of Duisburg-Essen, 47057 Duisburg, Germany
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Wu J, Tang L, Zheng F, Chen X, Li L. A review of the last decade: pancreatic cancer and type 2 diabetes. Arch Physiol Biochem 2023:1-9. [PMID: 37646618 DOI: 10.1080/13813455.2023.2252204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/04/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
Pancreatic cancer (PC) is a prevalent gastrointestinal tumour known for its high degree of malignancy, resulting in a mere 10% five-year survival rate for most patients. Over the past decade, a growing body of research has shed light on the intricate bidirectional association between PC and Type 2 diabetes (T2DM). The collection of PC- and T2DM-related articles is derived from two comprehensive databases, namely WOS (Web of Science Core Collection) and CNKI (China National Knowledge Infrastructure). This article discusses the last 10 years of research trends in PC and T2DM and explores their potential regulatory relationship as well as related medications.
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Affiliation(s)
- Jiaqi Wu
- Nanfang Hospital, Southern Medical University, Guangzhou, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Liang Tang
- Department of General Medicine, Zhuzhou Central Hospital, Zhuzhou, China
| | - Feng Zheng
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Xun Chen
- Department of the Trauma center, Zhuzhou Central Hospital, Zhuzhou, China
- Department of hepatobiliary surgery, Zhuzhou Central Hospital, Zhuzhou, China
| | - Lei Li
- Department of Pathology, University of Otago, Dunedin, New Zealand
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Li J, Ding H, Zhao Y, Lin M, Song L, Wang W, Dong H, Ma X, Liu W, Han L, Zheng F. DNA Repair-Responsive Engineered Whole Cell Microbial Sensors for Sensitive and High-Throughput Screening of Genotoxic Impurities. Anal Chem 2023; 95:12893-12902. [PMID: 37589895 DOI: 10.1021/acs.analchem.3c02245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Genotoxic impurities (GTIs) occurred in drugs, and food and environment pose a threat to human health. Accurate and sensitive evaluation of GTIs is of significance. Ames assay is the existing gold standard method. However, the pathogenic bacteria model lacks metabolic enzymes and requires mass GTIs, leading to insufficient safety, accuracy, and sensitivity. Whole-cell microbial sensors (WCMSs) can use normal strains to simulate the metabolic environment, achieving safe, sensitive, and high-throughput detection and evaluation for GTIs. Here, based on whether GTIs causing DNA alkylation required metabolic enzymes or not, two DNA repair-responsive engineered WCMS systems were constructed including Escherichia coli-WCMS and yeast-WCMS. A DNA repair-responsive promoter as a sensing element was coupled with an enhanced green fluorescent protein as a reporter to construct plasmids for introduction into WCMS. The ada promoter was screened out in the E. coli-WCMS, while the MAG1 promoter was selected for the yeast-WCMS. Different E. coli and yeast strains were modified by gene knockout and mutation to eliminate the interference and enhance the GTI retention in cells and further improved the sensitivity. Finally, GTI consumption of WCMS for the evaluation of methyl methanesulfonate (MMS) and nitrosamines was decreased to 0.46-8.53 μg and 0.068 ng-2.65 μg, respectively, decreasing 2-3 orders of magnitude compared to traditional methods. This study provided a novel approach to measure GTIs with different DNA damage pathways at a molecular level and facilitated the high-throughput screening and sensitive evaluation of GTIs.
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Affiliation(s)
- Jie Li
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
| | - Haotian Ding
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
| | - Yuning Zhao
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
| | - Mingbin Lin
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
| | - Linqi Song
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
| | - Wei Wang
- Chongqing Fuling Institute for Food and Drug Control, Chongqing 408102, China
| | - Haijuan Dong
- The Public Laboratory Platform, China Pharmaceutical University, Nanjing 210009, China
| | - Xiao Ma
- Gansu Institute for Drug Control, Lanzhou 730000, China
| | - Wenyuan Liu
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
- Zhejiang Center for Safety Study of Drug Substances (Industrial Technology Innovation Platform), Hangzhou 310018, China
| | - Lingfei Han
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
| | - Feng Zheng
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 211198, China
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Zhang S, He X, Xia X, Xiao P, Wu Q, Zheng F, Lu Q. Machine-Learning-Enabled Framework in Engineering Plastics Discovery: A Case Study of Designing Polyimides with Desired Glass-Transition Temperature. ACS Appl Mater Interfaces 2023; 15:37893-37902. [PMID: 37490394 DOI: 10.1021/acsami.3c05376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Great and continuous efforts have been made to discover high-performance engineering plastics with specific properties to replace traditional engineering materials in many fields. The utilization of machine learning (ML) has brought more opportunities for the discovery of high-performing engineering plastics. However, hindered by either the relatively small database or a lack of accurate structure descriptors with clear physical and chemical meanings relating to polymer properties, the current ML studies show some flaws in the accuracy and efficiency in polymer development. Herein, we collected a dataset of 878 polyimides (PI), one of the best engineering plastics, with experimentally measured glass-transition temperature (Tg) values, and developed a rapid and accurate ML approach to design PI candidates with the desired Tg value. After the conversion from PI structures into "mechanically identifiable" SMILES (Simplified molecular input line entry system) language, the eight most critical descriptors were ultimately obtained by multiple analysis methods. The physiochemical meaning of the key descriptors was further analyzed carefully to translate the implicit "machine language" to chemical knowledge. The artificial neural network (ANN)-based model gave the most accurate results with a root-mean-square error of ∼11 K among the studied ML methods. More importantly, three potential PI candidates with desired Tg (DPIs) were designed according to the chemical insight of the key descriptors, which were then verified by experiments. The experimental and predicted Tg values of DPIs have an acceptable average deviation of ca. 3.66%. This accuracy has reached the level of the traditional molecular simulation, but the time consumption and hold-up computing resource are tremendously reduced. Furthermore, the current ML approach could offer a scalable and adaptable framework in future engineer plastics innovation.
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Affiliation(s)
- Songyang Zhang
- School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China
| | - Xiaojie He
- School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China
| | - Xuejian Xia
- School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China
| | - Peng Xiao
- School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China
| | - Qi Wu
- Shanghai Key Lab of Electrical & Thermal Aging, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Feng Zheng
- School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China
| | - Qinghua Lu
- Shanghai Key Lab of Electrical & Thermal Aging, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Yu Q, Liu M, Zhao T, Su M, Wang S, Xu W, He S, Li K, Mu X, Wu J, Sun P, Zheng F, Weng N. Mechanism of baixiangdan capsules on anti-neuroinflammation: combining dry and wet experiments. Aging (Albany NY) 2023; 15:7689-7708. [PMID: 37556347 PMCID: PMC10457058 DOI: 10.18632/aging.204934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023]
Abstract
Neuroinflammation plays an important role in the pathogenesis of neurological disorders, and despite intensive research, treatment of neuroinflammation remains limited. BaiXiangDan capsule (BXD) is widely used in clinical practice. However, systematic studies on the direct role and mechanisms of BXD in neuroinflammation are still lacking. We systematically evaluated the potential pharmacological mechanisms of BXD on neuroinflammation using network pharmacological analysis combined with experimental validation. Multiple databases are used to mine potential targets for bioactive ingredients, drug targets and neuroinflammation. GO and KEGG pathway analysis was also performed. Interactions between active ingredients and pivotal targets were confirmed by molecular docking. An experimental model of neuroinflammation was used to evaluate possible therapeutic mechanisms for BXD. Network pharmacological analysis revealed that Chrysoeriol, Kaempferol and Luteolin in BXD exerted their anti-neuroinflammatory effects mainly by acting on targets such as NCOA2, PIK3CA and PTGS2. Molecular docking results showed that their average affinity was less than -5 kcal/mol, with an average affinity of -8.286 kcal/mol. Pathways in cancer was found to be a potentially important pathway, with involvement of PI3K/AKT signaling pathways. In addition, in vivo experiments showed that BXD treatment ameliorated neural damage and reduced neuronal cell death. Western blotting, RT-qPCR and ELISA analysis showed that BXD inhibited not only the expression of IL-1β, TNF-α and NO, but also NF-κB, MMP9 and PI3K/AKT signaling pathways. This study applied network pharmacology and in vivo experiments to explore the possible mechanisms of BXD against neuroinflammation, providing insight into the treatment of neuroinflammation.
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Affiliation(s)
- Qingying Yu
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Molin Liu
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Tingting Zhao
- College of Foreign Languages, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Mengyue Su
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Shukun Wang
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Wenhua Xu
- Preventive Treatment Center, Shenzhen Integrated Traditional Chinese and Western Medicine Hospital, Shenzhen 518000, China
| | - Shuhua He
- Department of Psychiatry, Boai Hospitai of Zhongshan, Zhongshan 528400, China
| | - Kejie Li
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Xiangyu Mu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Jibiao Wu
- Innovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Peng Sun
- Innovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
| | - Ning Weng
- Department of Traditional Chinese Medicine, Shandong Mental Health Center, Shandong University, Jinan 250000, China
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Chen C, Xiong Y, Huang X, Guo X, Kang X, Zhou J, Pan Z, Zheng H, Zheng S, Wang L, Hu W, Zhuang L, Zheng F. Subperiosteal/subgaleal drainage vs. subdural drainage for chronic subdural hematoma: A meta-analysis of postoperative outcomes. PLoS One 2023; 18:e0288872. [PMID: 37527264 PMCID: PMC10393133 DOI: 10.1371/journal.pone.0288872] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 07/05/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Chronic subdural hematoma (CSDH) is commonly treated via surgical removal of the hematoma, placement of a routine indwelling drainage tube, and continuous drainage to ensure that the blood does not re-aggregate following removal. However, the optimal location for placement of the drainage tube remains to be determined. OBJECTIVES To aid in establishing a reference for selecting the optimal method, we compared the effects of different drainage tube placements on CSDH prognosis via a systematic review and meta-analysis of previous clinical studies. DATA SOURCES PubMed, Embase, and Cochrane databases. STUDY ELIGIBILITY CRITERIA We searched for clinical studies comparing the outcomes of subperiosteal/subgaleal drainage (SPGD) and subdural drainage (SDD) for CSDH published in English prior to April 1, 2022. PARTICIPANTS The final analysis included 15 studies involving 4,318 patients. RESULTS Our analysis of the pooled results revealed no significant differences in recurrence rate between the SDD and SPGD groups. We also observed no significant differences in mortality or rates of postoperative complications (infection, pneumocephalus, or epilepsy) between the SDD and SPGD groups. CONCLUSIONS These results suggest that the choice of SDD vs. SPGD has no significant effect on CSDH prognosis, highlighting SPGD as an alternative treatment option for CSDH.
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Affiliation(s)
- Chunhui Chen
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yu Xiong
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xinyue Huang
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xiumei Guo
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
- Department of Neurology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xiaodong Kang
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Jianfeng Zhou
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Zhigang Pan
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Hanlin Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Shuni Zheng
- Division of Public Management, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Linxing Wang
- Department of Neurology, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Weipeng Hu
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Liming Zhuang
- Department of Pharmacy, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
| | - Feng Zheng
- Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, Quanzhou, Fujian Province, China
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Liu M, He H, Fan F, Qiu L, Zheng F, Guan Y, Yang G, Chen L. Maresin-1 protects against pulmonary arterial hypertension by improving mitochondrial homeostasis through ALXR/HSP90α axis. J Mol Cell Cardiol 2023; 181:15-30. [PMID: 37244057 DOI: 10.1016/j.yjmcc.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 05/29/2023]
Abstract
AIMS Pulmonary arterial hypertension (PAH) is a progressive and lethal disease characterized by continuous proliferation of pulmonary arterial smooth muscle cell (PASMCs) and increased pulmonary vascular remodeling. Maresin-1 (MaR1) is a member of pro-resolving lipid mediators and exhibits protective effects on various inflammation-related diseases. Here we aimed to study the role of MaR1 in the development and progression of PAH and to explore the underlying mechanisms. METHODS AND RESULTS We evaluated the effect of MaR1 treatment on PAH in both monocrotaline (MCT)-induced rat and hypoxia+SU5416 (HySu)-induced mouse models of pulmonary hypertension (PH). Plasma samples were collected from patients with PAH and rodent PH models to examine MaR1 production. Specific shRNA adenovirus or inhibitors were used to block the function of MaR1 receptors. The data showed that MaR1 significantly prevented the development and blunted the progression of PH in rodents. Blockade of the function of MaR1 receptor ALXR, but not LGR6 or RORα, with BOC-2, abolished the protective effect of MaR1 against PAH development and reduced its therapeutic potential. Mechanistically, we demonstrated that the MaR1/ALXR axis suppressed hypoxia-induced PASMCs proliferation and alleviated pulmonary vascular remodeling by inhibiting mitochondrial accumulation of heat shock protein 90α (HSP90α) and restoring mitophagy. CONCLUSION MaR1 protects against PAH by improving mitochondrial homeostasis through ALXR/HSP90α axis and represents a promising target for PAH prevention and treatment.
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Affiliation(s)
- Min Liu
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Huixiang He
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Fenling Fan
- Division of Pulmonary Vascular Disease, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - Lejia Qiu
- Health Science Center, East China Normal University, Shanghai 200241, China
| | - Feng Zheng
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Youfei Guan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Guangrui Yang
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Lihong Chen
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China; Health Science Center, East China Normal University, Shanghai 200241, China.
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