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Fu R, Li C, Wang L, Gao Z. Chinese consumer preference for beef with geographical indications and other attributes. Meat Sci 2024; 212:109475. [PMID: 38447358 DOI: 10.1016/j.meatsci.2024.109475] [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: 11/03/2023] [Revised: 01/27/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
As the demand for beef products grows in the Chinese market, understanding consumer preferences for beef, especially those related to quality labelling, is essential. The recent agreement between China and the European Union to promote Geographical Indications (GIs) provides a new insight into preferences for beef with quality labelling. This paper assesses consumer preferences for beef products with GIs and other attributes. A nationwide survey is conducted including 1210 respondents in China by a choice experiment attributing GI label, 'green', 'hazard-free', and 'organic' labels, feeding regimes (grain-fed, grass-fed), country of origin (China, Ireland, Australia, Brazil), and price (30, 40, 80, 100 ¥/500 g). The random parameter logit model with error component reveals that Chinese consumers have a significant preference for grain-fed beef and domestic beef, and they are willing to pay a premium price for GI-labelled beef compared with other attributes. The interaction between GIs and country of origin is included to indicate the positive price impact of GIs on imported beef products. Demographic factors such as place of residence and occupation are found to affect consumer preferences for GIs.
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Affiliation(s)
- Rao Fu
- School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
| | - Chenguang Li
- School of Agriculture and Food Science, University College Dublin, D04V1W8 Dublin, Ireland
| | - Liming Wang
- School of Economics and Management, Beijing University of Technology, Beijing 100124, China; Irish Institute for Chinese Studies, University College Dublin, D04V1W8 Dublin, Ireland
| | - Zhifeng Gao
- Food and Resource Economics Department, University of Florida, Gainesville, FL 32611, United States
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Ding L, Duan Y, Yao L, Gao Z. Efficacy and safety of terlipressin infusion during liver surgery: a protocol for systematic review and meta-analysis. BMJ Open 2024; 14:e080562. [PMID: 38553072 PMCID: PMC10982717 DOI: 10.1136/bmjopen-2023-080562] [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: 10/04/2023] [Accepted: 03/14/2024] [Indexed: 04/02/2024] Open
Abstract
INTRODUCTION Liver disease causes 2 million deaths annually, accounting for 4% of all deaths worldwide. Liver surgery is one of the effective therapeutic options. Bleeding is a major complication during liver surgery. Perioperative bleeding and allogeneic blood transfusion may deteriorate the prognosis. Terlipressin (TP), a synthetic analogue of the antidiuretic hormone, may reduceblood loss during abdominal surgery. Several clinical centres have attempted to use TP during liver surgery, but the evidence for its effectiveness in reducing blood loss and the need for allogeneic blood transfusion, as well as its safety during the perioperative period, remains unclear. The aim of this systematic review and meta-analysis is to evaluate the efficacy and safety of TP in reducing blood loss and allogeneic blood transfusion needs during liver surgery. METHODS AND ANALYSIS We will search PubMed, EMBASE, the Cochrane Library and Web of Science for studies on perioperative use of TP during liver surgery from inception to July 2023. We will limit the language to English, and two reviewers will independently screen and select articles. The primary study outcomes are estimated blood loss and the need for allogeneic blood transfusion. Secondary outcomes include operating time, intensive care unit stay, length of stay, intraoperative urine output, acute kidney injury rate, postoperative complications, hepatic and renal function during follow-up, and TP-related adverse effects. We will include studies that met the following criteria: (1) randomised controlled trials (RCTs), cohort studies or case-control studies; (2) the publication time was till July 2023; (3) adult patients (≥18 years old) undergoing elective liver surgery; (4) comparison of TP with other treatments and (5) the study includes at least one outcome. We will exclude animal studies, case reports, case series, non-original articles, reviews, paediatric articles, non-controlled trials, unpublished articles, non-English articles and other studies that are duplicates. We will use Review Manager V.5.3 software for meta-analysis and perform stratification analysis for the study quality of RCTs based on the Jadad score. For cohort or case-control studies, the study quality will be analysed based on Newcastle-Ottawa Scale scores. Grading of Recommendations, Assessment, Development and Evaluation will be used to assess confidence in the cumulative evidence. For primary outcomes, we will conduct subgroup analyses based on meta-regression. We will also perform leave-one-out sensitivity analyses to evaluate the effect of each individual study on the combined results by removing the individual studies one by one for outcomes with significant heterogeneity. The protocol follows the Cochrane Handbook for Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols guidelines. ETHICS AND DISSEMINATION This study is a secondary analysis of existing data; therefore, it does not require ethical approval. We will disseminate the results through peer-reviewed publications. PROSPERO REGISTRATION NUMBER CRD42023450333.
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Affiliation(s)
- Lin Ding
- Department of Anaesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
- Department of Anaesthesiology, Peking University International Hospital, Beijing, China
| | - Yi Duan
- Department of Anaesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Lan Yao
- Department of Anaesthesiology, Peking University International Hospital, Beijing, China
| | - Zhifeng Gao
- Department of Anaesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
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Wang J, Liu J, Wang H, Zhou M, Ke G, Zhang L, Wu J, Gao Z, Lu D. A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks. Nat Commun 2024; 15:1904. [PMID: 38429314 PMCID: PMC10907743 DOI: 10.1038/s41467-024-46276-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 02/20/2024] [Indexed: 03/03/2024] Open
Abstract
Gas separation is crucial for industrial production and environmental protection, with metal-organic frameworks (MOFs) offering a promising solution due to their tunable structural properties and chemical compositions. Traditional simulation approaches, such as molecular dynamics, are complex and computationally demanding. Although feature engineering-based machine learning methods perform better, they are susceptible to overfitting because of limited labeled data. Furthermore, these methods are typically designed for single tasks, such as predicting gas adsorption capacity under specific conditions, which restricts the utilization of comprehensive datasets including all adsorption capacities. To address these challenges, we propose Uni-MOF, an innovative framework for large-scale, three-dimensional MOF representation learning, designed for multi-purpose gas prediction. Specifically, Uni-MOF serves as a versatile gas adsorption estimator for MOF materials, employing pure three-dimensional representations learned from over 631,000 collected MOF and COF structures. Our experimental results show that Uni-MOF can automatically extract structural representations and predict adsorption capacities under various operating conditions using a single model. For simulated data, Uni-MOF exhibits remarkably high predictive accuracy across all datasets. Additionally, the values predicted by Uni-MOF correspond with the outcomes of adsorption experiments. Furthermore, Uni-MOF demonstrates considerable potential for broad applicability in predicting a wide array of other properties.
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Affiliation(s)
- Jingqi Wang
- Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
- DP Technology, Beijing, 100089, China
| | - Jiapeng Liu
- School of Advanced Energy, Sun Yat-Sen University, Shenzhen, 518107, China
- AI for Science Institute, Beijing, 100190, China
| | - Hongshuai Wang
- DP Technology, Beijing, 100089, China
- Jiangsu Key Laboratory for Carbon-Based Functional & Materials Devices, Institute of Functional & Nano Soft Materials (FUNSOM), Soochow University, Suzhou, 215123, China
| | - Musen Zhou
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA
| | - Guolin Ke
- DP Technology, Beijing, 100089, China
| | - Linfeng Zhang
- DP Technology, Beijing, 100089, China
- AI for Science Institute, Beijing, 100190, China
| | - Jianzhong Wu
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA.
| | | | - Diannan Lu
- Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
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Liu J, Kassas B, Lai J, Kropp J, Gao Z. Understanding the role of risk preferences and perceptions in vaccination decisions and post-vaccination behaviors among U.S. households. Sci Rep 2024; 14:3190. [PMID: 38326338 PMCID: PMC10850518 DOI: 10.1038/s41598-024-52408-6] [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: 04/06/2023] [Accepted: 01/18/2024] [Indexed: 02/09/2024] Open
Abstract
COVID-19 vaccines play a critical role in protecting against infection and transmission of the virus. Therefore, understanding public perceptions of COVID-19 vaccines is essential for successful vaccine promotion. Previous literature reported strong associations between vaccination decisions and several sociodemographic variables. However, knowledge about how behavioral factors, including risk perceptions and preferences, impact individuals' attitudes towards receiving COVID-19 vaccination is currently lacking. Using data from a nationally representative survey of 1050 US adults, this study investigates the correlation between individuals' decisions to receive COVID-19 vaccination and both their risk perceptions and preferences. Additionally, we investigate post-vaccination behavior by measuring individuals' participation in three different groups of activities that vary by their degree of social exposure. We find strong correlations between vaccination decisions and four measures of risk preference and risk perception. We also find associations between the four risk measures and individuals' behaviors post-vaccination. We shed light on the main factors discouraging the uptake of COVID-19 vaccines, as well as public opinions regarding the performance of different organizations in addressing the COVID-19 pandemic, and grocery store policies to prevent COVID-19 infections. Our study provides critical information that can help policymakers communicate more effectively with the public and promote vaccine uptake among population groups and geographic areas with higher anti-vaccine sentiments.
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Affiliation(s)
- Jianhui Liu
- Food and Resource Economics Department, Institute of Food and Agricultural Sciences, University of Florida, 2120 McCarty B, Gainesville, FL, 32611, USA
| | - Bachir Kassas
- Food and Resource Economics Department, Institute of Food and Agricultural Sciences, University of Florida, 1099 McCarty B, Gainesville, FL, 32611, USA.
| | - John Lai
- Food and Resource Economics Department, Institute of Food and Agricultural Sciences, University of Florida, 1109 McCarty B, Gainesville, FL, 32611, USA
| | - Jaclyn Kropp
- Food and Resource Economics Department, Institute of Food and Agricultural Sciences, University of Florida, 1157 McCarty B, Gainesville, FL, 32611, USA
| | - Zhifeng Gao
- Food and Resource Economics Department, Institute of Food and Agricultural Sciences, University of Florida, 1155 McCarty A, Gainesville, FL, 32611, USA
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Yu F, Fu J, Tan M, Xu R, Tian Y, Jia L, Zhang D, Wang Q, Gao Z. Norovirus outbreaks in hospitals in China: a systematic review. J Hosp Infect 2023; 142:32-38. [PMID: 37805116 DOI: 10.1016/j.jhin.2023.09.016] [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: 08/02/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND Norovirus outbreaks in hospitals can potentially impair patient care and result in significant financial expenses. There is currently limited information on hospital norovirus outbreaks in the Chinese mainland. AIM To systematically review the published literature to describe the characteristics of norovirus outbreaks in Chinese mainland hospitals to facilitate prompt identification and control of outbreaks. METHODS A systematic review was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis standards. Databases including PubMed, Web of Science, and Chinese Journals Online databases (China National Knowledge Infrastructure (CNKI), Chinese Wan Fang digital database (WANFANG) were searched from inception to July 18th, 2022. FINDINGS A total of 41 norovirus Chinese hospital outbreaks occurring before July 18th, 2022 were reported in 32 articles. Most reported outbreaks were from Shanghai and Beijing, and occurred in December and January. Cases were mainly adults. The male:female ratio was 1.22:1. The majority of cases in norovirus outbreaks were hospitalized patients (56.82%); medical staff were affected in 15 outbreaks. Norovirus outbreaks occurred in both private and public hospitals, and in secondary and tertiary care centres, and occurred mainly in internal medicine and geriatric departments. Person-to-person transmission was the primary transmission mode and GII was more prevalent. CONCLUSION Norovirus outbreaks in hospitals can affect both patients and healthcare workers, sometimes causing serious financial losses. In order to have a more complete understanding of the disease burden caused by norovirus outbreaks, surveillance needs to be established in hospitals.
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Affiliation(s)
- F Yu
- The University of Hong Kong, School of Public Health, Hong Kong, China
| | - J Fu
- China Medical University, School of Public Health, Shenyang, China
| | - M Tan
- China Medical University, School of Public Health, Shenyang, China
| | - R Xu
- China Medical University, School of Public Health, Shenyang, China
| | - Y Tian
- China Medical University, School of Public Health, Shenyang, China
| | - L Jia
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - D Zhang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Q Wang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Z Gao
- Beijing Center for Disease Prevention and Control, Beijing, China.
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Zhao Y, Pei F, Yang N, Sun H, Gao Z, Tian Q, Lu X. [Epidemiological and clinical characteristics of human ocular helaziasis in China from 2011 to 2022 based on bibliometrics]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:513-516. [PMID: 38148542 DOI: 10.16250/j.32.1374.2023061] [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] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To understand the clinical and epidemiological characteristics of human ocular thelaziasis patients in China. METHODS Case reports regarding human ocular thelaziasis cases in China were retrieved in international and national electronic databases, including CNKI, VIP, CBM, Traditional Chinese Medical Literature Analysis and Retrieval System, Wanfang Database, PubMed and Web of Science from 2011 to 2022. Patients' gender, age, clinical symptoms, treatment, recurrence, site of infections, time of onset, affected eye, affected sites, number of infected Thelazia callipaeda, sex of T. callipaeda and source of infections were extracted for descriptive analyses. RESULTS A total of 85 eligible publications were included, covering 101 cases of human ocular thelaziasis, including 57 males (56.44%) and 44 females (43.56%) and aged from 3 months to 85 years. The main clinical manifestations included foreign body sensation (56 case-times, 22.49%), eye itching (38 case-times, 15.26%), abnormal or increased secretions (36 case-times, 14.46%), tears (28 case-times, 11.24%) and eye redness (28 case-times, 11.24%), and conjunctival congestion (50 case-times, 41.67%) was the most common clinical sign. The most common main treatment (99/101, 98.02%) was removal of parasites from eyes using ophthalmic forceps, followed by administration with ofloxacin and pranoprofen. In publications presenting thelaziasis recurrence, there were 90 cases without recurrence (97.83%) and 2 cases with recurrence (2.17%). Of all cases, 51.96% were reported in four provinces of Hubei, Shandong, Sichuan, Hebei and Henan, and ocular thelaziasis predominantly occurred in summer (42.19%) and autumn (42.19%). In addition, 56.45% (35/62) had a contact with dogs. CONCLUSIONS The human thelaziasis cases mainly occur in the continental monsoon and subtropical monsoon climate areas such as the Yellow River and the Yangtze River basin, and people of all ages and genders have the disease, with complex clinical symptoms and signs. Personal hygiene is required during the contact with dogs, cats and other animals, and individual protection is required during outdoor activities to prevent thelaziasis.
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Affiliation(s)
- Y Zhao
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - F Pei
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - N Yang
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - H Sun
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Z Gao
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Q Tian
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Shandong Academy of Eye Disease Prevention and Therapy, Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan, Shandong 250002, China
| | - X Lu
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Shandong Academy of Eye Disease Prevention and Therapy, Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan, Shandong 250002, China
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Zhao Z, Gao Z, Zhang K, Lun L, Xu W, Wu H, Liu B. Colon Disease Classification Method Based on Deep Learning. Stud Health Technol Inform 2023; 308:689-695. [PMID: 38007800 DOI: 10.3233/shti230901] [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: 11/28/2023]
Abstract
Objective Colorectal cancer (CRC) is a common malignant tumor of the digestive system with a high incidence rate. It is prone to misdiagnosis or missed diagnosis in clinical practice. Therefore, researching computer-aided diagnostic methods for endoscopic colon disease image classification is of great importance. This study proposes a deep learning-based method for colon disease classification. It utilizes intestinal images or captures from an endoscope camera to achieve intelligent classification of gastrointestinal diseases, providing assistance to doctors in their decision-making process. Methods Firstly, the algorithm is used to preprocess the dataset by removing duplicates and applying enhancement techniques. Two different network architectures, namely A_Vit, MobileNet, are employed. The models are trained using the same parameters and dataset with the Adam optimizer. The training process generates loss curves, accuracy, and recall rates for each of the four network architectures. Results The results indicate that the training with A_Vit has shown better performance, achieving an accuracy rate of 95.76% and an impressive recall rate of 97.21%. Therefore, the model trained using the A_Vit network structure is ultimately selected as the preferred choice. Conclusion This method can improve the efficiency and accuracy of colon disease diagnosis.
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Affiliation(s)
- Zhihe Zhao
- Hebei University of Science and Technology
| | | | - Kun Zhang
- Hebei University of Science and Technology
| | - Lei Lun
- Hebei University of Science and Technology
| | - Weichao Xu
- Hebei Provincial Hospital of Traditional Chinese Medicine
| | - Hongxin Wu
- Hebei University of Science and Technology
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Zhao JY, Zhang LL, Kuang ZX, Xu J, Wang WW, Pan H, Gao Z, Li WW, Fang LW, Song Z, Shi J. [Evaluation of the clinical manifestations of COVID-19 in patients with aplastic anemia undergoing immunosuppressive therapy: a prospective cohort study (NICHE)]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:900-905. [PMID: 38185518 PMCID: PMC10753251 DOI: 10.3760/cma.j.issn.0253-2727.2023.11.003] [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] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Indexed: 01/09/2024]
Abstract
Objective: To investigate the clinical features of coronavirus disease 2019 (COVID-19) in patients with aplastic anemia (AA) undergoing immunosuppressive therapy (IST) . Methods: In this prospective cohort study, we collected the demographic and clinical data of patients with AA and COVID-19 from December 1, 2022, to January 31, 2023. We described the clinical features of COVID-19 among patients with AA and evaluated the effects of IST on the signs and severity of COVID-19. Results: A total of 170 patients with AA and COVID-19 were included. The common early symptoms, including fever, dizziness or headache, muscle or body aches, and sore throat, disappeared within 1-2 weeks. Approximately 25% of the patients had persistent fatigue within 2 weeks. Many patients experienced cough after an initial 1-3 days of infection, which lasted for more than 2 weeks. There were no differences in the duration of total fever episodes and maximum body temperature when patients were stratified according to whether or not they underwent IST, by IST duration, or by use of anti-lymphocyte globulin (ALG) (P>0.05). No differences were observed in the occurrence of symptoms in either the early or recovery stages when patients with AA were stratified according to whether or not they underwent IST, or by IST duration (P>0.05). However, patients who received ALG had fewer fever episodes within 1 week after infection (P=0.035) and more sore throat episodes within 2 weeks after infection (P=0.015). There were no other significant differences in clinical symptoms between patients who did and patients who did not receive ALG (P>0.05) . Conclusion: The majority of patients with AA and COVID-19 recovered within 2 weeks of noticing symptoms when treated with IST.
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Affiliation(s)
- J Y Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z X Kuang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W W Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W W Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L W Fang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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Ma X, Duan Y, Ma Y, Gao Z, Zhang H. Co-teaching in medicine and nursing in training nurse anesthetists: a before-and-after controlled study. BMC Med Educ 2023; 23:856. [PMID: 37953254 PMCID: PMC10641995 DOI: 10.1186/s12909-023-04827-8] [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: 02/01/2023] [Accepted: 10/31/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Clarifying the effectiveness of co-teaching in medicine and nursing (CMN) is important as it is crucial in clinical practice to improve the quality of patient care and prognosis. In this study, we aimed to determine the efficacy of CMN in nurse anesthetist training. METHOD The study comprised a 6-month training session and a before-and-after controlled study. In total, 59 nurses were recruited. The first 30 nurses were enrolled in the conventional single-teaching in nursing (SN) group and only took nursing-related courses. The next 29 students were enrolled in the CMN group and received both general medical and nursing-specific curricula. Before and after training, medical and nursing collaboration competency scores and knowledge scores were compared between the two groups. At the end of the study, qualitative comments on teaching satisfaction and clinical reasoning skills improvement were queried, and content analysis was performed. RESULTS Participants in the CMN group outperformed those in the SN group in tests of medical and nursing collaboration abilities as well as knowledge. The CMN group outperformed the SN group in terms of teaching satisfaction evaluation, particularly in terms of fostering learning in the anesthetist specialty, improving clinical practice, fostering motivation, and influencing how people think about challenges at work. Furthermore, participants in the CMN group felt that their clinical reasoning abilities had improved. CONCLUSION In comparison to the SN group, the CMN group had enhanced outcomes of patient care, medical and nursing collaboration, and clinical reasoning skills.
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Affiliation(s)
- Xiaobei Ma
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
| | - Yi Duan
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
| | - Yanli Ma
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
| | - Zhifeng Gao
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China.
| | - Huan Zhang
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
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Moreno SR, Sims CA, Odabasi A, Simonne A, Gao Z, Chase CA, Meru G, MacIntosh AJ. Chemical and physical properties of winter squash and their correlation with liking of their sensory attributes. J Food Sci 2023; 88:4440-4456. [PMID: 37755684 DOI: 10.1111/1750-3841.16771] [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: 05/19/2023] [Revised: 08/25/2023] [Accepted: 09/01/2023] [Indexed: 09/28/2023]
Abstract
Cucurbita moschata, commonly known as squash or pumpkin, is a member of the Cucurbitaceae family originating from Central America. This species is regarded as heat tolerant and disease resistant and is commonly used in breeding programs. Calabaza (wintersquash) is an emerging market type of C. moschata with increasing popularity in the United States; however, limited research has been conducted to understand how sensory qualities influence consumers' acceptability and willingness to pay (price). This study compared the sensory perception of C. moschata accessions grown in the continental southeastern United States with their physical and chemical properties using squash prepared from fresh and frozen states. The eight accessions investigated included five hybrids of calabaza from the University of Florida (University of Florida Tropical Pumpkin #), two commercial cultivars of calabaza (La Estrella and Soler), and one butternut squash cultivar (Waltham). The evaluation of fresh calabaza revealed significant differences in consumer preference among cultivars in addition to correlations with sensory attributes. UFTP8 and UFTP24 received the highest ratings, whereas UFTP38 and 'La Estrella' were rated lowest. Interestingly, the evaluation of frozen calabaza revealed UFTP8 and 'Waltham' Butternut squash as the highest in ranking, while UFTP38 and 'La Estrella' retained the lowest ranking. Consumer ratings of fresh samples revealed positive correlations between overall liking, sweetness liking, and texture liking with willingness to pay and soluble solids content (SSC). For calabaza intended for the frozen market, the color, hardness, and SSC were identified as the most significant parameters impacting willingness to pay. These results show how quality attributes can play a crucial role in consumers perception of quality and significantly influence their reported willingness to pay. PRACTICAL APPLICATION: Producers and breeders can use positively correlated attributes as indicators of overall liking and to determine pricing for C. moschata products.
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Affiliation(s)
- Skylar R Moreno
- Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA
| | - Charles A Sims
- Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA
| | - Asli Odabasi
- Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA
| | - Amarat Simonne
- Department of Family, Youth and Community Sciences, University of Florida, Gainesville, Florida, USA
| | - Zhifeng Gao
- Department Food and Resource Economics, University of Florida, Gainesville, Florida, USA
| | - Carlene A Chase
- Horticultural Sciences Department, University of Florida, Gainesville, Florida, USA
| | - Geoffrey Meru
- Tropical Research and Education Center, Horticultural Sciences Department, University of Florida, Homestead, Florida, USA
| | - Andrew J MacIntosh
- Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA
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11
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Gao Z, Li K, Xue XH, Zhao S, Wang SX, Li YW, Xi FH, Zhang Q. [Y-shaped osteotomy in the apical vertebra for treating congenital complex rigid scoliosis:at least 2-year follow-up]. Zhonghua Wai Ke Za Zhi 2023; 61:950-958. [PMID: 37767660 DOI: 10.3760/cma.j.cn112139-20230621-00244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Objective: To investigate the clinical outcome of the coronal Y-shaped osteotomy in the apical vertebra for treating congenital complex rigid scoliosis. Methods: A retrospective analysis was conducted on 66 cases who underwent Y-shaped osteotomy treatment for congenital complex rigid scoliosis in the uppermost vertebra at the Department of Orthopedics,the Second Hospital of Shanxi Medical University from June 2007 to August 2020. There were 19 males and 47 females,with an age of (13.1±5.3) years(range:2 to 30 years).Classification of congenital scoliosis:25 cases (37.9%) were incomplete,13 cases (19.7%) were dysarthritic,and 28 cases (42.4%) were mixed. There were 25 cases (37.9%) with thoracic or rib malformations. 45 cases (68.2%) were complicated with spinal cord malformation.The main radiological indicators included Cobb angle of the curvature,Cobb angle of the local bend,apical vertebral translation (AVT),trunk shift (TS),thoracic trunk shift (TTS),radiographic shoulder height (RSH),coronal balance and sagittal vertebral axis. The preoperative,postoperative immediate,and last follow-up radiological indicators were collected and the operation time,blood loss,hospitalization time,and operation-related complications were recorded. Data were compared by repeated measure ANOVA and paired-t test. Results: All patients underwent surgery successfully. The duration of the first surgery was (221.4±52.8) minutes,and the blood loss during the first surgery was (273.2±41.8) ml. The length of the first hospital stay was (8.8±1.7) days.Unilateral fixation was performed in 19 cases (28.8%),while bilateral fixation was performed in 47 cases (71.2%). The fused segments were 7.5±2.9,and the vertebral pedicle screw density was (68.5±20.6)%. The follow-up time for the 66 patients was (36.7±17.0) months(range:24 to 102 months).The main curve Cobb Angle was improved from (58.5±18.9)°before surgery to (21.1±11.8)°after surgery,and was (23.6±15.3) ° at the last follow-up(F=273.957,P<0.01),with a correction rate of 66.2%. Segmental curve Cobb Angle was improved from (47.9±18.0)° to (16.0±11.3)° after surgery,and was (16.8±12.8) °at the last follow-up (F=270.483,P<0.01)with a correction rate of 69.2%. The AVT,TS,TTS and RSH values improved significantly at the final follow-up (all P<0.05),while coronal balance and sagittal vertical axis were maintained without significant differences between pre-operation and post-operation(both P>0.05). A total of 5 patients underwent staged operation,all of which were residual scoliosis aggravated after the first stage of orthosis operation and had good prognosis after the second stage of operation. Conclusions: Y-shaped osteotomy for the treatment of congenital rigid scoliosis results in good clinical and radiological outcomes without serious complications. This procedure can be considered as an option for the treatment of congenital complex rigid scoliosis.
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Affiliation(s)
- Z Gao
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - K Li
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - X H Xue
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - S Zhao
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - S X Wang
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - Y W Li
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - F H Xi
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
| | - Q Zhang
- The Second Hospital of Shanxi Medical University,Taiyuan 030001,ChinaDepartment of Orthopedics
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12
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Sharkey A, Mahmood F, Hai T, Khamooshian A, Gao Z, Amador Y, Khabbaz K. Regional geometric differences between regurgitant and non-regurgitant mitral valves in patients with coronary artery disease. Echocardiography 2023; 40:750-759. [PMID: 37002823 DOI: 10.1111/echo.15549] [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: 08/17/2022] [Revised: 02/03/2023] [Accepted: 02/13/2023] [Indexed: 04/04/2023] Open
Abstract
OBJECTIVE Demonstrate that regional geometric differences exist between regurgitant and non-regurgitant mitral valves (MV's) in patients with coronary artery disease and due to the heterogenous and regional nature of ischemic remodeling in patients with coronary artery disease (CAD), that the available anatomical reserve and likelihood of developing mitral regurgitation (MR) is variable in non-regurgitant MV's in patients with CAD. METHODS In this retrospective, observational study intraoperative three-dimensional transesophageal echocardiographic data was analyzed in patients undergoing coronary revascularization with MR (IMR group) and without MR (NMR group). Regional geometric differences between both groups were assessed and MV reserve which was defined as the increase in antero-posterior (AP) annular diameter from baseline that would lead to coaptation failure was calculated in three zones of the MV from antero-lateral (zone 1), middle (zone 2), and posteromedial (zone 3). MEASUREMENTS AND MAIN RESULTS There were 31 patients in the IMR group and 93 patients in the NMR group. Multiple regional geometric differences existed between both groups. Most significantly patients in the NMR group had significantly larger coaptation length and MV reserve than the IMR group in zones 1 (p-value = .005, .049) and 2 (p-value = .00, .00), comparable between the two groups in zone 3 (p-value = .436, .513). Depletion of the MV reserve was associated with posterior displacement of the coaptation point in zones 2 and 3. CONCLUSIONS There are significant regional geometric differences between regurgitant and non-regurgitant MV's in patients with coronary artery disease. Due to regional variations in available anatomical reserve and the risk of coaptation failure in patients with CAD, absence of MR is not synonymous with normal MV function.
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Affiliation(s)
- Aidan Sharkey
- Department of Anesthesia Critical Care and Pain Management, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Feroze Mahmood
- Department of Anesthesia Critical Care and Pain Management, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ting Hai
- Department of Anesthesiology, Peking University Peoples Hospital, Beijing, China
| | - Arash Khamooshian
- Department of Cardio-Thoracic Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Zhifeng Gao
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yannis Amador
- Department of Anesthesiology and Perioperative Medicine, Queens University, Kingston, Ontario, Canada
| | - Kamal Khabbaz
- Division of Cardiac Surgery, Roberta L Hines Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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Gao Z, Solders A, Al-Adili A, Beliuskina O, Eronen T, Kankainen A, Lantz M, Moore ID, Nesterenko DA, Penttilä H, Pomp S, Sjöstrand H. Applying machine learning methods for the analysis of two-dimensional mass spectra. Eur Phys J A Hadron Nucl 2023; 59:169. [PMID: 37502124 PMCID: PMC10368573 DOI: 10.1140/epja/s10050-023-01080-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/06/2023] [Indexed: 07/29/2023]
Abstract
In a measurement of isomeric yield-ratios in fission, the Phase-Imaging Ion-Cyclotron-Resonance technique, which projects the radial motions of ions in the Penning trap (JYFLTRAP) onto a position-sensitive micro-channel plate detector, has been applied. To obtain the yield ratio, that is the relative population of two states of an isomer pair, a novel analysis procedure has been developed to determine the number of detected ions in each state, as well as corrections for the detector efficiency and decay losses. In order to determine the population of the states in cases where their mass difference is too small to reach full separation, a Bayesian Gaussian Mixture model was implemented. The position-dependent efficiency of the micro-channel plate detector was calibrated by mapping it with 133 Cs+ ions, and a Gaussian Process was trained with the position data to construct an efficiency function that could be used to correct the recorded distributions. The obtained numbers of counts of excited and ground-state ions were used to derive the isomeric yield ratio, taking into account decay losses as well as feeding from precursors.
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Affiliation(s)
- Z. Gao
- Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden
| | - A. Solders
- Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden
| | - A. Al-Adili
- Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden
| | - O. Beliuskina
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
| | - T. Eronen
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
| | - A. Kankainen
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
| | - M. Lantz
- Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden
| | - I. D. Moore
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
| | - D. A. Nesterenko
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
| | - H. Penttilä
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
| | - S. Pomp
- Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden
| | - H. Sjöstrand
- Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden
| | - the IGISOL team
- Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland
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Okpiaifo GE, Dormoy-Smith B, Kassas B, Gao Z. Perception and demand for healthy snacks/beverages among US consumers vary by product, health benefit, and color. PLoS One 2023; 18:e0287232. [PMID: 37327182 PMCID: PMC10275438 DOI: 10.1371/journal.pone.0287232] [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: 11/16/2022] [Accepted: 06/01/2023] [Indexed: 06/18/2023] Open
Abstract
Concerns about the numerous health problems associated with unhealthy snacks prompted recommendations to steer individuals toward healthier eating habits. One such recommendation advises limiting unhealthy snacks and replacing them with more fruits and vegetables with significant health benefits. This study investigates US consumers' perceptions and preferences for healthy (vegetable-based) snacks/beverages. An online survey was designed to estimate consumer perception and willingness-to-pay (WTP) for vegetable-based crackers, spreads, and beverages. A sampling company sent the survey to its national consumer panels in 2020, resulting in a sample of 402 US consumers. Eligible participants were adults, primary grocery shoppers who consumed crackers, spreads, and beverages. Consumer WTP for healthy snacks/beverages, the dependent variable, was elicited using a payment card method. Independent variables include personality traits (Innovativeness and Extraversion) and the important factors affecting healthy snack purchases, health consciousness, and demographic variables. Results show that consumers' preferences for healthy snacking vary by product, even when the products have similar health benefits. Significant positive associations exist between WTP for healthy snacks/beverages and personality traits, health consciousness, and some demographics. This study provides critical insights to policymakers and informs marketing campaigns to promote healthy snacking in the US more effectively.
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Affiliation(s)
- Glory Esohe Okpiaifo
- Food and Resource Economics Department, University of Florida, Gainesville, Florida, United States of America
| | - Bertille Dormoy-Smith
- Food and Resource Economics Department, University of Florida, Gainesville, Florida, United States of America
| | - Bachir Kassas
- Food and Resource Economics Department, University of Florida, Gainesville, Florida, United States of America
| | - Zhifeng Gao
- Food and Resource Economics Department, University of Florida, Gainesville, Florida, United States of America
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15
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Li G, Wang G, Gao Z, Zheng L, Yan Q, Zhang XL, Qiu DZ. [Evaluation of the clinical efficacy of minimally invasive endoscopic surgery in the treatment of isolated non-syndromic sagittal synostosis in infants]. Zhonghua Yi Xue Za Zhi 2023; 103:1860-1863. [PMID: 37271586 DOI: 10.3760/cma.j.cn112137-20221215-02657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The current study aimed to evaluate the early efficacy in infants with isolated non-syndromic sagittal synostosis who underwent minimally invasive endoscopic-assisted surgery. The clinical data of infants with isolated non-syndromic sagittal synostosis who were admitted to the Department of Neurosurgery of the Children's Hospital of Nanjing Medical University and underwent endoscopic-assisted surgery from October 2018 to December 2021 were retrospectively analyzed. All the infants underwent minimally invasive endoscopic-assisted surgery, and were treated with supine sleeping position after surgery. Computer-aided reconstruction technique was used to reconstruct and measure the thin-slice CT scan images of the head before and 3 months after surgery, and the differences in cranial index (CI), cranial cavity volume and angle drawn between the cranial vertex, nasion, and opisthocranion (VNO angle) of preoperative and postoperative groups were analyzed. A total of 103 infants were included in the final analysis, including 85 males and 18 females. The age at surgery was (2.1±0.8) months, and the weight was (6.1±0.9) kg. The postoperative CI was (84±6)%, which increased obviously compared with the pre-operation [(70±5)%] (P<0.001). The cranial volume of post-operation was (947±130) cm³, which was larger than that of the pre-operation [(748±104) cm³] (P<0.001). The VNO angle after surgery was (45±4)°, which showed a significant reduction compared with the pre-operation [(55±4)°] (P<0.001). The correction of head shape was satisfactory. For the treatment of sagittal synostosis in infants, minimally invasive endoscopic-assisted surgery is safe and effective, and in the case of switching from an auxiliary helmet to a supine position, the postoperative correction efficacy of head shape is better.
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Affiliation(s)
- G Li
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
| | - G Wang
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
| | - Z Gao
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
| | - L Zheng
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
| | - Q Yan
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
| | - X L Zhang
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
| | - D Z Qiu
- Department of Neurosurgery, Affiliated Children's Hospital, Nanjing Medical University, Nanjing 210000, China
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Hu Y, House LA, Gao Z. Does Preferred Information Format Affect Consumers' Willingness to Pay: A Case Study of Orange Juice Produced by Biotechnology. Foods 2023; 12:foods12112130. [PMID: 37297375 DOI: 10.3390/foods12112130] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
People who received a more personally relevant message were motivated to pay closer attention to the information and actively process it, which ultimately may stimulate behavioral changes. Therefore, preferred information content has been used in many disciplines to promote effective communication. However, no study has explored the impact of preferred information formats (e.g., word, infographic, and video) concerning food production. With the increasing application of biotechnology to food production, a complex topic to communicate, and evidence that consumers were willing to pay less for bioengineered foods, efficient communication was important to impact consumer preferences. The results of this study showed that consumers mostly preferred information format is writing. Providing information in video format did improve consumers' trust in information about food biotechnology. However, receiving information in consumers' preferred formats did not significantly change consumers' WTP for genetically engineered orange juice.
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Affiliation(s)
- Yang Hu
- College of Economics and Management Department, Nanjing Agricultural University, Nanjing 210095, China
| | - Lisa A House
- Food and Resource Economics Department, University of Florida, Gainesville, FL 32611, USA
| | - Zhifeng Gao
- Food and Resource Economics Department, University of Florida, Gainesville, FL 32611, USA
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17
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Zeng Z, Gao Z, Guo Z, Xu X, Chen Y, Li Y, Wu D, Lin L, Jia R, Han S. Structure and oxygen vacancy engineered CuCo-layered double oxide nanotube arrays as advanced bifunctional electrocatalysts for overall water splitting. Dalton Trans 2023; 52:6473-6483. [PMID: 37092725 DOI: 10.1039/d3dt00695f] [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: 04/25/2023]
Abstract
In recent years, as a green renewable energy production technology, electrochemical water splitting has demonstrated high development potential. Many materials have been reported as successful catalysts in the water-splitting field. However, it is still a huge challenge to produce bifunctional electrocatalysts for the efficient and sustainable generation of hydrogen and oxygen simultaneously. Herein, we successfully developed oxygen vacancies abundant CuCo layered double oxide (Ov-CuCo-LDO) hollow nanotube arrays (HNTAs) loaded on nickel foam as advanced electrocatalysts for total water splitting. When the current density was 10 mA cm-2, the Ov-CuCo-LDO HNTAs exhibited outstanding onset overpotentials of 53.9 and 72.5 mV for the hydrogen evolution and oxygen evolution reactions (HER and OER) in alkaline medium, respectively, because of the bimetallic synergistic effect between the cobalt and copper and the unique hollow porous structure. In addition, an as-assembled Ov-CuCo-LDO||Ov-CuCo-LDO electrolytic cell showed a small potential of 1.55 V to deliver a current density of 10 mA cm-2. Moreover, it also showed remarkable durability after long-term overall water splitting for more than 20 h. The research results in this paper are of great interest to practical applications of the water decomposition process, providing clear and in-depth insights into preliminary robust and efficient multifunctional electrocatalysts for overall water splitting.
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Affiliation(s)
- Zifeng Zeng
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Zhifeng Gao
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Zicheng Guo
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Xiaowei Xu
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
- State Key Laboratory of Polymer Materials Engineering, Chengdu 610065, PR China
| | - Yian Chen
- Shanghai Fengxian High School, Shanghai, 201400, PR China
| | - Ying Li
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Dandan Wu
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Lin Lin
- School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Runping Jia
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
| | - Sheng Han
- School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai, 201418, PR China.
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Gao Z, Ghosh D, Harrington HA, Restrepo JG, Taylor D. Dynamics on networks with higher-order interactions. Chaos 2023; 33:040401. [PMID: 37097941 DOI: 10.1063/5.0151265] [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] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 03/22/2023] [Indexed: 06/19/2023]
Affiliation(s)
- Z Gao
- School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
| | - D Ghosh
- Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India
| | - H A Harrington
- Mathematical Institute, University of Oxford, Oxford, United Kingdom
| | - J G Restrepo
- Department of Applied Mathematics, University of Colorado at Boulder, Boulder, Colorado 80309, USA
| | - D Taylor
- Department of Mathematics, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
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Wu X, Yang M, Guo W, Hu J, Dong K, Gao Z. [CD5L is elevated in the serum of patients with candidemia and promotes disease progression in mouse models]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:368-374. [PMID: 37087580 PMCID: PMC10122748 DOI: 10.12122/j.issn.1673-4254.2023.03.05] [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] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
OBJECTIVE To investigate the changes of CD5L levels in patients with candidemia and explore the role of CD5L in progression of candidemia. METHODS Twenty healthy control individuals, 27 patients with bacteremia and 35 patients with candidemia were examined for serum CD5L levels using ELISA, and the correlations of CD5L level with other serological indicators were analyzed. A C57BL/6 mouse model of candidemia induced by intravenous injection of Candida albicans were treated with intraperitoneal injection of recombinant CD5L protein, and renal histopathological and serological changes were analyzed to assess renal injures. The effects of CD5L treatment on general condition, fungal burden, of survival of the mice were observed, and the changes in serum IL-6 and IL-8 levels of the mice were detected using ELISA. RESULTS CD5L levels were significantly elevated in patients with candidemia and positively correlated with WBC, BDG, Scr and PCT levels. The mouse model of candidemia also showed significantly increased serum and renal CD5L levels, and CD5L treatment significantly increased fungal burden in the renal tissue, elevated IL-6 and IL-8 levels in the serum and kidney, aggravated renal tissue damage, and reduced survival rate of candidemia mice. CONCLUSION Serum CD5L levels are increased in patients with candidemia, and treatment with CD5L aggravates candidemia in mouse models.
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Affiliation(s)
- X Wu
- Clinical Laboratory, Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
| | - M Yang
- Clinical Laboratory, Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
| | - W Guo
- Clinical Laboratory, Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
| | - J Hu
- Clinical Laboratory, Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
| | - K Dong
- Clinical Laboratory, Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
| | - Z Gao
- Clinical Laboratory, Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
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Chen Y, Zhu P, Xu JJ, Song Y, Jiang L, Gao LJ, Chen J, Song L, Gao Z, Liu HB, Yang YJ, Gao RL, Xu B, Yuan JQ. [Clinical features and long-term prognosis of diabetic patients with low or intermediate complexity coronary artery disease post percutaneous coronary intervention]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:143-150. [PMID: 36789593 DOI: 10.3760/cma.j.cn112148-20220601-00432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Objective: To investigate the clinical features and long-term prognostic factors of diabetic patients with low or intermediate complexity coronary artery disease (CAD) post percutaneous coronary intervention (PCI). Methods: This was a prospective, single-centre observational study. Consecutive diabetic patients with SYNTAX score (SS)≤32 undergoing PCI between January and December 2013 in Fuwai hospital were included in this analysis. The patients were divided into two groups based on SS, namely SS≤22 group and SS 23-32 group. Multivariate Cox regression analysis was performed to identify independent factors related to poor 5-year prognosis. The primary outcomes were cardiac death and recurrent myocardial infarction, the secondary outcomes were all cause death and revascularization. Results: Of the 3 899 patients included in the study, 2 888 were men (74.1%); mean age was 59.4±9.8 years. There were 3 450 patients in the SS≤22 group and 449 patients in the SS 23-32 group. Compared with SS≤22 group, the incidence of revascularization was higher in SS 23-32 group (18.9% (85/449) vs. 15.2% (524/3450), log-rank P=0.019). There was no significant difference in all-cause death, cardiac death and recurrent myocardial infarction between the two groups (log-rank P>0.05). Multivariate Cox regression analysis showed that age (HR=1.05, 95%CI 1.02-1.08, P<0.001), chronic obstructive pulmonary disease (HR=3.12, 95%CI 1.37-7.07, P=0.007) and creatinine clearance rate (CCr)<60 ml/min (HR=3.67, 95%CI 2.05-6.58, P<0.001) were independent risk factors for 5-year cardiac death, while left ventricular ejection fraction (HR=0.94, 95%CI 0.91-0.96, P<0.001) was a protective factor. Previous PCI (HR=2.04, 95%CI 1.38-3.00, P<0.001), blood glucose level≥11.1 mmol/L on admission (HR=2.49, 95%CI 1.32-4.70, P=0.005) and CCr<60 ml/min (HR=1.85, 95%CI 1.14-2.99, P=0.012) were independent risk factors for 5-year recurrent myocardial infarction. The SS of 23-32 was independently associated with risk of revascularization (HR=1.54, 95%CI 1.09-2.16, P=0.014), after adjusting for residual SS. Residual SS was not a risk factor for 5-year prognosis. Conclusions: In diabetic patients with low-or intermediate complexity CAD, SS 23-32 is associated with increased risk of 5-year revascularization; the clinical characteristics of the patients are associated with the long-term mortality and recurrent myocardial infarction, but not related to revascularization.
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Affiliation(s)
- Y Chen
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - P Zhu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - J J Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Y Song
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - L Jiang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - L J Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - J Chen
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - L Song
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Z Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - H B Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Y J Yang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - R L Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - B Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - J Q Yuan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
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Duan Y, Li ZZ, Liu P, Cui L, Gao Z, Zhang H. The efficacy of intraoperatie continuous glucose monitoring in patients undergoing liver transplantation: a study protocol for a prospective randomized controlled superiority trial. Trials 2023; 24:72. [PMID: 36726138 PMCID: PMC9890833 DOI: 10.1186/s13063-023-07073-x] [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: 03/06/2022] [Accepted: 01/05/2023] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The high incidence of intraoperative glucose dysregulations in liver transplantation (LT) is related to the lack of highly orchestrated control of intraoperative blood glucose. Glucose monitoring based on a single arterial blood gas test can only provide a simple glucose profile and is insufficient in monitoring intraoperative glycemic variability (GV), which is not conducive to controlling GV and may have a lag in the management of hyper/hypoglycemia. Continuous glucose monitor (CGM), which has been successfully applied in the management of chronic disease in diabetes, provides more detailed blood glucose records and reflect GV parameters such as coefficient of variation (CV%). However, its effectiveness and accuracy for guiding blood glucose management in major surgeries remains unclear. METHODS This is a single-center, randomized, controlled, superiority trial. One hundred and eighty patients scheduled for orthotopic LT will be recruited and randomized into two groups. All patients are monitored for intraoperative glucose using CGM combined with arterial blood gas (ABG). In the intervention group (group CG), ABG will be performed when CGM value is < 6.1 mmol/L or > 10.0 mmol/L, or the rate of change of CGM value > 1.67 mmol/(L·min). In the control group (group G), intraoperative ABG tests will be performed every 2 h, and the frequency of ABG tests will be adjusted based on the previous arterial glucose result. Patients in both groups will have their blood glucose adjusted according to arterial glucose values and a uniform protocol. Surgical and other anesthetic management is completed according to standard LT practices. DISCUSSION This study intends to investigate the effectiveness of CGM-based intraoperative glucose management and its impact on the prognosis of LT patients by comparing the GV, mean glucose values, and the incidence of hypo/hypoglycemic events guided by the above two glucose monitoring methods. TRIAL REGISTRATION This study is registered at www.chictr.org.cn on January 4, 2022, under the registration number ChiCTR2200055236.
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Affiliation(s)
- Yi Duan
- grid.12527.330000 0001 0662 3178Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218 China
| | - Zuo-Zhi Li
- grid.506261.60000 0001 0706 7839Department of Special Care Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
| | - Pan Liu
- grid.12527.330000 0001 0662 3178Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218 China
| | - Lei Cui
- grid.12527.330000 0001 0662 3178Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218 China
| | - Zhifeng Gao
- grid.12527.330000 0001 0662 3178Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218 China
| | - Huan Zhang
- grid.12527.330000 0001 0662 3178Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218 China
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22
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Wang Y, Wu H, Zhang J, Gao Z, Wang J, Yu PS, Long M. PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans Pattern Anal Mach Intell 2023; 45:2208-2225. [PMID: 35380958 DOI: 10.1109/tpami.2022.3165153] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The predictive learning of spatiotemporal sequences aims to generate future images by learning from the historical context, where the visual dynamics are believed to have modular structures that can be learned with compositional subsystems. This paper models these structures by presenting PredRNN, a new recurrent network, in which a pair of memory cells are explicitly decoupled, operate in nearly independent transition manners, and finally form unified representations of the complex environment. Concretely, besides the original memory cell of LSTM, this network is featured by a zigzag memory flow that propagates in both bottom-up and top-down directions across all layers, enabling the learned visual dynamics at different levels of RNNs to communicate. It also leverages a memory decoupling loss to keep the memory cells from learning redundant features. We further propose a new curriculum learning strategy to force PredRNN to learn long-term dynamics from context frames, which can be generalized to most sequence-to-sequence models. We provide detailed ablation studies to verify the effectiveness of each component. Our approach is shown to obtain highly competitive results on five datasets for both action-free and action-conditioned predictive learning scenarios.
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Calhoun S, Gao Z, Vachhani B, Brandt K, Shah K, Liao J, He F, Vgontzas A, Liao D, Bixler E, Fernandez-Mendoza J. Sleep disordered breathing since childhood associated with atherosclerosis in adulthood. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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24
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Zhu X, Gao Z, Wang Y, Huang W, Li Q, Jiao Z, Liu N, Kong X. Utility of trio-based prenatal exome sequencing incorporating splice-site and mitochondrial genome assessment in pregnancies with fetal ultrasound anomalies: prospective cohort study. Ultrasound Obstet Gynecol 2022; 60:780-792. [PMID: 35726512 DOI: 10.1002/uog.24974] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 02/13/2022] [Revised: 05/30/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To evaluate the utility of trio-based prenatal exome sequencing (pES), incorporating splice-site and mitochondrial genome assessment, in the prenatal diagnosis of fetuses with ultrasound anomalies and normal copy-number variant sequencing (CNV-seq) results. METHODS This was a prospective study of 90 ongoing pregnancies with ultrasound anomalies that underwent trio-based pES after receiving normal CNV-seq results, from September 2020 to November 2021, in a single center in China. By using pES with a panel encompassing exome coding and splicing regions as well as mitochondrial genome for fetuses and parents, we identified the underlying genetic causes of fetal anomalies, incidental fetal findings and parental carrier status. Information on pregnancy outcome and the impact of pES findings on parental decision-making was collected. RESULTS Of the 90 pregnancies included, 28 (31.1%) received a diagnostic result that could explain the fetal ultrasound anomalies. The highest diagnostic yield was noted for brain abnormalities (3/6 (50.0%)), followed by hydrops (4/9 (44.4%)) and skeletal abnormalities (13/34 (38.2%)). Collectively, 34 variants of 20 genes were detected in the 28 diagnosed cases, with 55.9% (19/34) occurring de novo. Variants of uncertain significance (VUS) associated with fetal phenotypes were detected in six (6.7%) fetuses. Interestingly, fetal (n = 4) and parental (n = 3) incidental findings (IFs) were detected in seven (7.8%) cases. These included two fetuses carrying a de-novo likely pathogenic (LP) variant of the CIC and FBXO11 genes, respectively, associated with neurodevelopmental disorders, and one fetus with a LP variant in a mitochondrial gene. The remaining fetus presented with unilateral renal dysplasia and was incidentally found to carry a pathogenic PKD1 gene variant resulting in adult-onset polycystic kidney, which was later confirmed to be inherited from the mother. In addition, parental heterozygous variants associated with autosomal recessive diseases were detected in three families, including one with additional fetal diagnostic findings. Diagnostic results or fetal IFs contributed to parental decision-making about termination of the pregnancy in 26 families (26/72 (36.1%)), while negative pES results or identification of VUS encouraged 40 families (40/72 (55.6%)) to continue their pregnancy, which ended in a live birth in all cases. CONCLUSION Trio-based pES can provide additional genetic information for pregnancies with fetal ultrasound anomalies without a CNV-seq diagnosis. The incidental findings and parental carrier status reported by trio-based pES with splice-site and mitochondrial genome analysis extend its clinical application, but careful genetic counseling is warranted. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- X Zhu
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Z Gao
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Y Wang
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - W Huang
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Q Li
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Z Jiao
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - N Liu
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - X Kong
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Xu L, Chen J, Yang J, Gong W, Zhang Y, Zhao H, Yan S, Jia W, Wu Z, Liu C, Song X, Ma Y, Yang X, Gao Z, Zhang N, Zheng X, Li M, Zhang X, Chen M. 165P Efficacy and safety of tislelizumab (TIS) plus lenvatinib (LEN) as first-line treatment in patients (pts) with unresectable hepatocellular carcinoma (uHCC): A single-arm, multicenter, phase II trial. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Liu Z, Gao Z, Geng X, Wen L, Kiprop E. Risk aversion, marketing outlets, and biological control practice adoption: insight from pear farmers in China. Environ Sci Pollut Res Int 2022; 29:84798-84813. [PMID: 35790627 DOI: 10.1007/s11356-022-21737-2] [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: 12/24/2021] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
Biological control (BC) is an important component of green control techniques, and its adoption in the production of fresh produce holds economic and ecological importance as an alternative to chemical pesticides, yet its current adoption rate is not high. To clarify the issue, this study analyzes the factors that influence growers' adoption of BC practices in China's orchard systems. We focus on how marketing outlets and risk attitudes affect farmers' adoption of BC practices. A field survey of 327 pear growers was conducted in three main pear-producing areas of Hebei, Shandong, and Hubei provinces of China between October and December 2020. Results show that farmers' risk aversion has a significant and negative impact on their adoption of BC practices. The market environment is another dramatic factor affecting farmers' adoption. Both green certification and cooperative marketing have a significant role in promoting farmers' adoption of BC practices. Our findings highlight the importance of risk reduction and market environment to BC adoption. Furthermore, it can provide critical information for policymakers in formulating strategies to promote the application and extension of BC practices among farmers in developing countries, such as China.
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Affiliation(s)
- Zhenzhen Liu
- College of Economics and Management, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, People's Republic of China
| | - Zhifeng Gao
- Food and Resource Economics Department, University of Florida, Gainesville, FL, 32611-0240, USA
| | - Xianhui Geng
- College of Economics and Management, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, People's Republic of China.
| | - Longjiao Wen
- College of Economics and Management, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, People's Republic of China
- School of Business, Jiangsu University of Technology, No. 1801, Zhongwu Avenue, Changzhou, Jiangsu, 213001, People's Republic of China
| | - Emmanuel Kiprop
- College of Economics and Management, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, People's Republic of China
- School of Business and Economics, Kabarak University, Nakuru, Kenya
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Wang S, Yang J, Hu B, Liu Y, Jin L, Zhu Q, Liu Y, Zheng Q, Zhou C, Gao Z, Zhang Y. ALK INHIBITOR PLUS VINBLASTINE FOR REFRACTORY/RELAPSED PEDIATRIC ALK+ ANAPLASTIC LARGE CELL LYMPHOMA: A PROSPECTIVE, ONE-ARM, OPEN-LABEL REAL-WORLD STUDY. Leuk Res 2022. [DOI: 10.1016/s0145-2126(22)00306-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Zhao Y, Huang S, Jia Y, Duan Y, Jin L, Zhai X, Wang H, Hu B, Liu Y, Liu A, Liu W, Zheng C, Li F, Sun L, Yuan X, Dai Y, Zhang B, Jiang L, Wang X, Wang H, Zhou C, Gao Z, Zhang L, Zhang Y. CLINICOPATHOLOGIC FEATURES AND PROGNOSIS OF PEDIATRIC HIGH-GRADE B-CELL LYMPHOMA: A MULTICENTER ANALYSIS. Leuk Res 2022. [DOI: 10.1016/s0145-2126(22)00254-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Liu Y, Deng B, Hu B, Zhang W, Zhu Q, Liu Y, Wang S, Zhang P, Yang J, Zheng Q, Yu X, Gao Z, Zhou C, Han W, Chang A, Zhang Y. EFFICACY AND SAFETY OF SEQUENTIAL DIFFERENT B CELL ANTIGEN-TARGETED CAR T-CELL THERAPY FOR PEDIATRIC REFRACTORY/ RELAPSED BURKITT LYMPHOMA WITH SECONDARY CENTRAL NERVOUS SYSTEM INVOLVEMENT. Leuk Res 2022. [DOI: 10.1016/s0145-2126(22)00240-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Bai L, Gao Z, Jiang A, Ren S, Wang B. Circ_0001535 Facilitates Tumor Malignant Progression by miR-485-5p/LASP1 Axis in Colorectal Cancer. Balkan Med J 2022; 39:411-421. [DOI: 10.4274/balkanmedj.galenos.2022.2022-6-51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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Han BH, Wu ZW, Li MJ, Jin F, Gao Z, Pan LL, Ma JC, Jin H, Zhao YL, Li Q. [Safety of an inactivated 2019-nCoV vaccine (Vero) in adults aged 60 years and older]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1295-1301. [PMID: 36207894 DOI: 10.3760/cma.j.cn112150-20220119-00069] [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] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To analyze the safety of an inactivated 2019-nCoV vaccine (Vero cell) in adults aged 60 years and older. Methods: A randomized, double-blind, placebo-controlled clinical study was conducted in May 2020 The eligible residents aged 60 and above were recruited in Renqiu city, Hebei Province. A total of 422 subjects (phase Ⅰ/Ⅱ:72/350) were enrolled. Two doses of the trial vaccine or placebo were randomly administered according to a 0 and 28-day immunization schedule. Subjects were randomly divided into two groups in Phase Ⅰ. Within each group, participants received vaccine or placebo in a ratio of 2∶1. Subjects were randomly divided into four groups in phase Ⅱ to receive low-dose, medium-dose, high-dose vaccine and placebo, respectively, in a ratio of 2∶2∶2∶1. A combination of regular follow-up and active reporting was used to observe adverse reactions within 28 days after vaccination, and compare the incidence rate of adverse reactions in the trial and control groups. Results: 422 subjects were (66.45±4.70) years old, and 48.82% were male (206/422). There were 100, 124, 124 and 74 patients enrolled into the low-dose, medium-dose, high-dose vaccine groups and the placebo group, respectively. One person without the vaccination was removed, and 421 participants who received at least one dose of vaccine were included in the safety analysis. Within 28 days after the first or second dose, a total of 20.67% (87/421) subjects had adverse reactions (both solicitation and non-solicitation). About 76 patients suffered grade 1 adverse reactions [18.05% (76/421)] and 22 patients suffered grade 2 adverse reactions [5.23% (22/421)]. No grade 3 or above adverse reactions occurred. A total of 19.71% (83/421) subjects had solicited adverse reactions. The most common grade 1 adverse reaction was injection site pain, followed by fever and fatigue. The most common grade 2 adverse reactions were fever and fatigue, followed by muscle pain and injection site redness. A total of 2.61% (11/421) subjects had unsolicited adverse reactions. A total of 1.66% (7/421) subjects had serious adverse events after vaccination, and no serious vaccine-related adverse events were reported. Conclusions: The inactivated SARS-CoV-2 vaccine is safe for people aged 60 years and above.
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Affiliation(s)
- B H Han
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - Z W Wu
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - M J Li
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - F Jin
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - Z Gao
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - L L Pan
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - J C Ma
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - H Jin
- Renqiu City Center for Disease Control and Prevention,Renqiu 062550, China
| | - Y L Zhao
- Institute for Vaccine Clinical Research, Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - Qi Li
- Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
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Lv D, Wu G, Lin L, Yan S, Wu X, Pan W, Huang J, Gao Z, Gu Q, Li H, Chen Q, Lin W. EP14.01-016 Anlotinib Plus Toripalimab as Maintenance Treatment in Extensive-Stage Small Cell Lung Cancer: a Single-Arm Phase II Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Luan X, Gao Z, Sun J, Chen G, Yan S, Yu H, Song H, Yao J, Song P. Feasibility of an ultra-low dose contrast media protocol for coronary CT angiography. Clin Radiol 2022; 77:e705-e710. [PMID: 35778294 DOI: 10.1016/j.crad.2022.05.029] [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: 12/31/2021] [Revised: 05/30/2022] [Accepted: 05/30/2022] [Indexed: 11/25/2022]
Abstract
AIM To evaluate the feasibility of an ultra-low volume contrast media (CM) protocol for coronary computed tomography angiography (CTA). MATERIALS AND METHODS In total, 214 patients receiving coronary CTA were enrolled prospectively and divided into group A (n=107) receiving a conventional dose of CM and group B (n=107) receiving an ultra-low dose. CT values of the right coronary artery (RCA), left anterior descending artery (LAD), and left circumflex artery (LCX) were measured and radiation doses recorded. The image quality was compared between the groups. Changes in renal function indices and proteinuria before, 24, and 72 hours after coronary CTA among those with chronic kidney disease (CKD) were also assessed. RESULTS There were significant differences in CT values and radiation doses between groups A and B. In group A, the average RCA, LAD, and LCX CT values were 412.5 ± 79.2, 423.5 ± 73.7, and 422.0 ± 88.1 HU, respectively. In group B, the average RCA, LAD, and LCX CT values were 275.2 ± 16.2, 277.8 ± 16.4, and 278.9 ± 16.5 HU, respectively. The radiation dose in the ultra-low protocol recipients (118.70 ± 18.52 mGy·cm) was significantly lower than that used in conventional coronary CTA (131.75 ± 20.96 mGy·cm). The image quality of group B was comparable to that of group A, satisfying the diagnostic requirement. In patients with mild CKD, there were no significant differences in renal functions after coronary CTA. CONCLUSION An ultra-low CM protocol was established for coronary CTA, providing comparable image quality and diagnostic yields but significantly lower radiation dose compared with a conventional protocol. This new protocol might be applicable to patients with mild CKD.
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Affiliation(s)
- X Luan
- Weifang Medical University, Weifang 261053, China; Jinan Central Hospital, Jinan 250013, China
| | - Z Gao
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China
| | - J Sun
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China
| | - G Chen
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China
| | - S Yan
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - H Yu
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - H Song
- The Institute for Tissue Engineering and Regenerative Medicine, The Liaocheng University/liaocheng People's Hospital, Liaocheng 252000, China
| | - J Yao
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - P Song
- Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China; Department of Radiology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250013, China.
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Gao Z, Zhang QH, Xie YD, Wang Q, Dzakpasu M, Xiong JQ, Wang XC. A novel multi-objective optimization framework for urban green-gray infrastructure implementation under impacts of climate change. Sci Total Environ 2022; 825:153954. [PMID: 35189239 DOI: 10.1016/j.scitotenv.2022.153954] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 12/18/2021] [Revised: 01/24/2022] [Accepted: 02/13/2022] [Indexed: 06/14/2023]
Abstract
Frequent urban flooding disasters can cause severe economic and property losses. Accordingly, the construction of sponge city has become critical to alleviating urban flooding. However, the functional and structural integration of Green Infrastructure (GI) and Gray Drainage Facility (GDF) is still a matter of concern. This study proposed a novel implementation framework for GI and GDF synchronization optimization (G-GSOIF) based on the SWMM and SUSTAIN models, and used data from Beilin District in Xi'an, China to verify the effects. The results show that the spatiotemporal integrated optimization design of GI and GDF proves to be effective in stormwater management. The total investment was reduced by 16.7% and economic benefit was increased by 15.4% based on disaster risk control, and the utilization rate of rainwater resources exceeded 40%. The Staged optimization model (SSOM) based on the SUSTAIN model established in the G-GSOIF was demonstrated to effectively cope with the impact of future climate change by adjusting and optimizing the design scheme dynamically in different simulation scenarios. Integrated LID (I-LID) measures are conducive for simulation of large catchment areas, and have the same implementation effect as distributed LID measures. The results of this study could support decision-making for urban stormwater management and sponge city construction.
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Affiliation(s)
- Z Gao
- Key Lab of Northwest Water Resource, Environment and Ecology, Ministry of Education, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Q H Zhang
- Key Lab of Northwest Water Resource, Environment and Ecology, Ministry of Education, Xi'an University of Architecture and Technology, Xi'an 710055, China; International Science & Technology Cooperation Center for Urban Alternative Water Resources Development, Xi'an University of Architecture and Technology, Xi'an 710055, China.
| | - Y D Xie
- Key Lab of Northwest Water Resource, Environment and Ecology, Ministry of Education, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Q Wang
- Key Lab of Organic Polymer Photoelectric Materials, School of Science, Xijing University, Xi'an 710123, Shaanxi, China
| | - M Dzakpasu
- International Science & Technology Cooperation Center for Urban Alternative Water Resources Development, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - J Q Xiong
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - X C Wang
- Key Lab of Northwest Water Resource, Environment and Ecology, Ministry of Education, Xi'an University of Architecture and Technology, Xi'an 710055, China; International Science & Technology Cooperation Center for Urban Alternative Water Resources Development, Xi'an University of Architecture and Technology, Xi'an 710055, China
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35
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Wang E, Gao Z, Heng Y. Explore Chinese consumers' safety perception of agricultural products using a non-price choice experiment. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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36
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Liu R, Liang F, Heng Y, Gao Z, Snell HA, Rae A, Ma H. Do Past Experience and Group Heterogeneity Matter to Consumer Preferences? Evidence From a Choice Experiment in Urban China. Front Psychol 2022; 13:843433. [PMID: 35572270 PMCID: PMC9095496 DOI: 10.3389/fpsyg.2022.843433] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
This study uses a discrete choice experiment to examine consumers' preferences for Fuji apple product attributes and willingness to pay (WTP) estimates for consumers in six cities in China. We estimated the preference heterogeneity by linking the stated preference choice data with consumers' past experience and socioeconomic characteristics in the latent class model. The empirical results show that, first, the past experience variables are crucial in explaining consumer preferences and WTP. Second, three classes, namely, certification-oriented, price- and origin-oriented, and not interested, are identified. Furthermore, the same type of Fuji apple attribute does not appeal to every respondent. Third, our results indicate the heterogeneity of preferences across different classes of respondents, as well as differences in WTP for Fuji apples.
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Affiliation(s)
- Ruifeng Liu
- College of Economics and Management, Henan Agricultural University, Zhengzhou, China
| | - Fei Liang
- College of Economics and Management, Henan Agricultural University, Zhengzhou, China
| | - Yan Heng
- Department of Food and Resource Economics, University of Florida, Gainesville, FL, United States
| | - Zhifeng Gao
- Department of Food and Resource Economics, University of Florida, Gainesville, FL, United States
| | - Heather Arielle Snell
- Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR, United States
| | - Allan Rae
- School of Economics and Finance, Massey University, Palmerston North, New Zealand
| | - Hengyun Ma
- School of Economics and Finance, Massey University, Palmerston North, New Zealand
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37
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Cramer EY, Ray EL, Lopez VK, Bracher J, Brennen A, Castro Rivadeneira AJ, Gerding A, Gneiting T, House KH, Huang Y, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mühlemann A, Niemi J, Shah A, Stark A, Wang Y, Wattanachit N, Zorn MW, Gu Y, Jain S, Bannur N, Deva A, Kulkarni M, Merugu S, Raval A, Shingi S, Tiwari A, White J, Abernethy NF, Woody S, Dahan M, Fox S, Gaither K, Lachmann M, Meyers LA, Scott JG, Tec M, Srivastava A, George GE, Cegan JC, Dettwiller ID, England WP, Farthing MW, Hunter RH, Lafferty B, Linkov I, Mayo ML, Parno MD, Rowland MA, Trump BD, Zhang-James Y, Chen S, Faraone SV, Hess J, Morley CP, Salekin A, Wang D, Corsetti SM, Baer TM, Eisenberg MC, Falb K, Huang Y, Martin ET, McCauley E, Myers RL, Schwarz T, Sheldon D, Gibson GC, Yu R, Gao L, Ma Y, Wu D, Yan X, Jin X, Wang YX, Chen Y, Guo L, Zhao Y, Gu Q, Chen J, Wang L, Xu P, Zhang W, Zou D, Biegel H, Lega J, McConnell S, Nagraj VP, Guertin SL, Hulme-Lowe C, Turner SD, Shi Y, Ban X, Walraven R, Hong QJ, Kong S, van de Walle A, Turtle JA, Ben-Nun M, Riley S, Riley P, Koyluoglu U, DesRoches D, Forli P, Hamory B, Kyriakides C, Leis H, Milliken J, Moloney M, Morgan J, Nirgudkar N, Ozcan G, Piwonka N, Ravi M, Schrader C, Shakhnovich E, Siegel D, Spatz R, Stiefeling C, Wilkinson B, Wong A, Cavany S, España G, Moore S, Oidtman R, Perkins A, Kraus D, Kraus A, Gao Z, Bian J, Cao W, Ferres JL, Li C, Liu TY, Xie X, Zhang S, Zheng S, Vespignani A, Chinazzi M, Davis JT, Mu K, Pastore y Piontti A, Xiong X, Zheng A, Baek J, Farias V, Georgescu A, Levi R, Sinha D, Wilde J, Perakis G, Bennouna MA, Nze-Ndong D, Singhvi D, Spantidakis I, Thayaparan L, Tsiourvas A, Sarker A, Jadbabaie A, Shah D, Della Penna N, Celi LA, Sundar S, Wolfinger R, Osthus D, Castro L, Fairchild G, Michaud I, Karlen D, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Lee EC, Dent J, Grantz KH, Hill AL, Kaminsky J, Kaminsky K, Keegan LT, Lauer SA, Lemaitre JC, Lessler J, Meredith HR, Perez-Saez J, Shah S, Smith CP, Truelove SA, Wills J, Marshall M, Gardner L, Nixon K, Burant JC, Wang L, Gao L, Gu Z, Kim M, Li X, Wang G, Wang Y, Yu S, Reiner RC, Barber R, Gakidou E, Hay SI, Lim S, Murray C, Pigott D, Gurung HL, Baccam P, Stage SA, Suchoski BT, Prakash BA, Adhikari B, Cui J, Rodríguez A, Tabassum A, Xie J, Keskinocak P, Asplund J, Baxter A, Oruc BE, Serban N, Arik SO, Dusenberry M, Epshteyn A, Kanal E, Le LT, Li CL, Pfister T, Sava D, Sinha R, Tsai T, Yoder N, Yoon J, Zhang L, Abbott S, Bosse NI, Funk S, Hellewell J, Meakin SR, Sherratt K, Zhou M, Kalantari R, Yamana TK, Pei S, Shaman J, Li ML, Bertsimas D, Lami OS, Soni S, Bouardi HT, Ayer T, Adee M, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller P, Xiao J, Wang Y, Wang Q, Xie S, Zeng D, Green A, Bien J, Brooks L, Hu AJ, Jahja M, McDonald D, Narasimhan B, Politsch C, Rajanala S, Rumack A, Simon N, Tibshirani RJ, Tibshirani R, Ventura V, Wasserman L, O’Dea EB, Drake JM, Pagano R, Tran QT, Ho LST, Huynh H, Walker JW, Slayton RB, Johansson MA, Biggerstaff M, Reich NG. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proc Natl Acad Sci U S A 2022; 119:e2113561119. [PMID: 35394862 PMCID: PMC9169655 DOI: 10.1073/pnas.2113561119] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 01/24/2022] [Indexed: 01/15/2023] Open
Abstract
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks.
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Affiliation(s)
- Estee Y. Cramer
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Evan L. Ray
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Velma K. Lopez
- COVID-19 Response, Centers for Disease Control and Prevention; Atlanta, GA 30333
| | - Johannes Bracher
- Chair of Econometrics and Statistics, Karlsruhe Institute of Technology, 76185 Karlsruhe, Germany
- Computational Statistics Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany
| | | | | | - Aaron Gerding
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Tilmann Gneiting
- Computational Statistics Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany
- Institute of Stochastics, Karlsruhe Institute of Technology, 69118 Karlsruhe, Germany
| | - Katie H. House
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Yuxin Huang
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Dasuni Jayawardena
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Abdul H. Kanji
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Ayush Khandelwal
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Khoa Le
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Anja Mühlemann
- Institute of Mathematical Statistics and Actuarial Science, University of Bern, CH-3012 Bern, Switzerland
| | - Jarad Niemi
- Department of Statistics, Iowa State University, Ames, IA 50011
| | - Apurv Shah
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Ariane Stark
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Yijin Wang
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Nutcha Wattanachit
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | - Martha W. Zorn
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
| | | | - Sansiddh Jain
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Nayana Bannur
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Ayush Deva
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Mihir Kulkarni
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Srujana Merugu
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Alpan Raval
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Siddhant Shingi
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Avtansh Tiwari
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | - Jerome White
- Wadhwani Institute of Artificial Intelligence, Andheri East, Mumbai, 400093, India
| | | | - Spencer Woody
- Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712
| | - Maytal Dahan
- Texas Advanced Computing Center, Austin, TX 78758
| | - Spencer Fox
- Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712
| | | | | | - Lauren Ancel Meyers
- Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712
| | - James G. Scott
- Department of Information, Risk, and Operations Management, University of Texas at Austin, Austin, TX 78712
| | - Mauricio Tec
- Department of Statistics and Data Sciences, University of Texas at Austin, Austin, TX 78712
| | - Ajitesh Srivastava
- Ming Hsieh Department of Computer and Electrical Engineering, University of Southern California, Los Angeles, CA 90089
| | - Glover E. George
- US Army Engineer Research and Development Center, Vicksburg, MS 39180
| | - Jeffrey C. Cegan
- US Army Engineer Research and Development Center, Concord, MA 01742
| | - Ian D. Dettwiller
- US Army Engineer Research and Development Center, Vicksburg, MS 39180
| | | | | | - Robert H. Hunter
- US Army Engineer Research and Development Center, Vicksburg, MS 39180
| | - Brandon Lafferty
- US Army Engineer Research and Development Center, Vicksburg, MS 39180
| | - Igor Linkov
- US Army Engineer Research and Development Center, Concord, MA 01742
| | - Michael L. Mayo
- US Army Engineer Research and Development Center, Vicksburg, MS 39180
| | - Matthew D. Parno
- US Army Engineer Research and Development Center, Hanover, NH 03755
| | | | | | - Yanli Zhang-James
- Department of Psychiatry and Behavioral Sciences, State University of New York Upstate Medical University, Syracuse, NY 13210
| | - Samuel Chen
- School of Medicine, State University of New York Upstate Medical University, Syracuse, NY 13210
| | - Stephen V. Faraone
- Department of Psychiatry and Behavioral Sciences, State University of New York Upstate Medical University, Syracuse, NY 13210
| | - Jonathan Hess
- Department of Psychiatry and Behavioral Sciences, State University of New York Upstate Medical University, Syracuse, NY 13210
| | - Christopher P. Morley
- Department of Public Health & Preventive Medicine, State University of New York Upstate Medical University, Syracuse, NY 13210
| | - Asif Salekin
- Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13207
| | - Dongliang Wang
- Department of Public Health & Preventive Medicine, State University of New York Upstate Medical University, Syracuse, NY 13210
| | | | - Thomas M. Baer
- Department of Physics, Trinity University, San Antonio, TX 78212
| | - Marisa C. Eisenberg
- Department of Complex Systems, University of Michigan, Ann Arbor, MI 48109
- Department of Mathematics, University of Michigan, Ann Arbor, MI 48109
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109
| | - Karl Falb
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109
| | - Yitao Huang
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109
| | - Emily T. Martin
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109
| | - Ella McCauley
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109
| | - Robert L. Myers
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109
| | - Tom Schwarz
- Department of Physics, University of Michigan, Ann Arbor, MI, 48109
| | - Daniel Sheldon
- College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01003
| | - Graham Casey Gibson
- School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003
| | - Rose Yu
- Department of Computer Science and Engineering, University of California, San Diego, CA 92093
- Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115
| | - Liyao Gao
- Department of Statistics, University of Washington, Seattle, WA 98185
| | - Yian Ma
- Halıcıoğlu Data Science Institute, University of California, San Diego, CA 92093
| | - Dongxia Wu
- Department of Computer Science and Engineering, University of California, San Diego, CA 92093
| | - Xifeng Yan
- Department of Computer Science, University of California, Santa Barbara, CA 93106
| | - Xiaoyong Jin
- Department of Computer Science, University of California, Santa Barbara, CA 93106
| | - Yu-Xiang Wang
- Department of Computer Science, University of California, Santa Barbara, CA 93106
| | - YangQuan Chen
- Mechatronics, Embedded Systems and Automation Lab, Department of Mechanical Engineering, University of California, Merced, CA 95301
| | - Lihong Guo
- Jilin University, Changchun City, Jilin Province, 130012, People's Republic of China
| | - Yanting Zhao
- University of Science and Technology of China, Heifei, Anhui, 230027, People's Republic of China
| | - Quanquan Gu
- Department of Computer Science, University of California, Los Angeles, CA 90095
| | - Jinghui Chen
- Department of Computer Science, University of California, Los Angeles, CA 90095
| | - Lingxiao Wang
- Department of Computer Science, University of California, Los Angeles, CA 90095
| | - Pan Xu
- Department of Computer Science, University of California, Los Angeles, CA 90095
| | - Weitong Zhang
- Department of Computer Science, University of California, Los Angeles, CA 90095
| | - Difan Zou
- Department of Computer Science, University of California, Los Angeles, CA 90095
| | - Hannah Biegel
- Department of Mathematics, University of Arizona, Tucson, AZ 85721
| | - Joceline Lega
- Department of Mathematics, University of Arizona, Tucson, AZ 85721
| | | | - V. P. Nagraj
- Quality Assurance and Data Science, Signature Science, LLC, Charlottesville, VA 22911
| | - Stephanie L. Guertin
- Quality Assurance and Data Science, Signature Science, LLC, Charlottesville, VA 22911
| | | | - Stephen D. Turner
- Quality Assurance and Data Science, Signature Science, LLC, Charlottesville, VA 22911
| | - Yunfeng Shi
- Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, Troy, NY 12309
| | - Xuegang Ban
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195
| | | | - Qi-Jun Hong
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287
- School of Engineering, Brown University, Providence, RI 02912
| | | | | | - James A. Turtle
- Infectious Disease Group, Predictive Science, Inc, San Diego, CA 92121
| | - Michal Ben-Nun
- Infectious Disease Group, Predictive Science, Inc, San Diego, CA 92121
| | - Steven Riley
- Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, W2 1PG London, United Kingdom
| | - Pete Riley
- Infectious Disease Group, Predictive Science, Inc, San Diego, CA 92121
| | | | | | - Pedro Forli
- Oliver Wyman Digital, Oliver Wyman, Sao Paolo, Brazil 04711-904
| | - Bruce Hamory
- Health & Life Sciences, Oliver Wyman, Boston, MA 02110
| | | | - Helen Leis
- Health & Life Sciences, Oliver Wyman, New York, NY 10036
| | - John Milliken
- Financial Services, Oliver Wyman, New York, NY 10036
| | | | - James Morgan
- Financial Services, Oliver Wyman, New York, NY 10036
| | | | - Gokce Ozcan
- Financial Services, Oliver Wyman, New York, NY 10036
| | - Noah Piwonka
- Health & Life Sciences, Oliver Wyman, New York, NY 10036
| | - Matt Ravi
- Core Consultant Group, Oliver Wyman, New York, NY 10036
| | - Chris Schrader
- Health & Life Sciences, Oliver Wyman, New York, NY 10036
| | | | - Daniel Siegel
- Financial Services, Oliver Wyman, New York, NY 10036
| | - Ryan Spatz
- Core Consultant Group, Oliver Wyman, New York, NY 10036
| | - Chris Stiefeling
- Financial Services, Oliver Wyman Digital, Toronto, ON, Canada M5J 0A1
| | | | | | - Sean Cavany
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - Guido España
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - Sean Moore
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - Rachel Oidtman
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
| | - Alex Perkins
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - David Kraus
- Department of Mathematics and Statistics, Masaryk University, 61137 Brno, Czech Republic
| | - Andrea Kraus
- Department of Mathematics and Statistics, Masaryk University, 61137 Brno, Czech Republic
| | | | | | - Wei Cao
- Microsoft, Redmond, WA 98029
| | | | | | | | | | | | | | - Alessandro Vespignani
- Institute for Scientific Interchange Foundation, Turin, 10133, Italy
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Matteo Chinazzi
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Jessica T. Davis
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Kunpeng Mu
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Ana Pastore y Piontti
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Xinyue Xiong
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115
| | - Andrew Zheng
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Jackie Baek
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Vivek Farias
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142
| | - Andreea Georgescu
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Retsef Levi
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142
| | - Deeksha Sinha
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Joshua Wilde
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | | | | | | | - Divya Singhvi
- Technology, Operations and Statistics (TOPS) group, Stern School of Business, New York University, New York, NY 10012
| | | | | | | | - Arnab Sarker
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Ali Jadbabaie
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Devavrat Shah
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Nicolas Della Penna
- Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Leo A. Celi
- Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139
| | | | | | - Dave Osthus
- Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545
| | - Lauren Castro
- Information Systems and Modeling Group, Los Alamos National Laboratory, Los Alamos, NM 87545
| | - Geoffrey Fairchild
- Information Systems and Modeling Group, Los Alamos National Laboratory, Los Alamos, NM 87545
| | - Isaac Michaud
- Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545
| | - Dean Karlen
- Department of Physics and Astronomy, University of Victoria, Victoria, BC, V8W 2Y2, Canada
- Physical Sciences Division, TRIUMF, Vancouver, BC, V8W 2Y2, Canada
| | - Matt Kinsey
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723
| | - Luke C. Mullany
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723
| | | | - Lauren Shin
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723
| | | | - Shelby Wilson
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723
| | - Elizabeth C. Lee
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Juan Dent
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Kyra H. Grantz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Alison L. Hill
- Institute for Computational Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21218
| | - Joshua Kaminsky
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | | | - Lindsay T. Keegan
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84108
| | - Stephen A. Lauer
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Joseph C. Lemaitre
- Laboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Justin Lessler
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Hannah R. Meredith
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Javier Perez-Saez
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Sam Shah
- Unaffiliated, San Francisco, CA 94122
| | - Claire P. Smith
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
| | - Shaun A. Truelove
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21215
- International Vaccine Access Center, Johns Hopkins University, Baltimore, MD 21231
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21231
| | | | - Maximilian Marshall
- Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD 21218
| | - Lauren Gardner
- Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD 21218
| | - Kristen Nixon
- Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD 21218
| | | | - Lily Wang
- Department of Statistics, Iowa State University, Ames, IA 50011
| | - Lei Gao
- Department of Finance, Iowa State University, Ames, IA 50011
| | - Zhiling Gu
- Department of Statistics, Iowa State University, Ames, IA 50011
| | - Myungjin Kim
- Department of Statistics, Iowa State University, Ames, IA 50011
| | - Xinyi Li
- School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634
| | - Guannan Wang
- Department of Mathematics, College of William & Mary, Williamsburg, VA 23187
| | - Yueying Wang
- Department of Statistics, Iowa State University, Ames, IA 50011
| | - Shan Yu
- Department of Statistics, University of Virginia, Charlottesville, VA 22904
| | - Robert C. Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | - Ryan Barber
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | - Simon I. Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | - Steve Lim
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | - Chris Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | - David Pigott
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195
| | | | | | | | | | - B. Aditya Prakash
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30308
| | - Bijaya Adhikari
- Department of Computer Science, University of Iowa, Iowa City, IA 52242
| | - Jiaming Cui
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30308
| | | | - Anika Tabassum
- Department of Computer Science, Virginia Tech, Falls Church, VA 22043
| | - Jiajia Xie
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30308
| | - Pinar Keskinocak
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
| | - John Asplund
- Advanced Data Analytics, Metron, Inc., Reston, VA 20190
| | - Arden Baxter
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
| | - Buse Eylul Oruc
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
| | - Nicoleta Serban
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
| | | | | | | | | | | | | | | | | | | | - Thomas Tsai
- Department of Health Policy and Management, Harvard University, Cambridge, MA 02138
| | | | | | | | - Sam Abbott
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT London, United Kingdom
| | - Nikos I. Bosse
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT London, United Kingdom
| | - Sebastian Funk
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT London, United Kingdom
| | - Joel Hellewell
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT London, United Kingdom
| | - Sophie R. Meakin
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT London, United Kingdom
| | - Katharine Sherratt
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, WC1E 7HT London, United Kingdom
| | - Mingyuan Zhou
- McCombs School of Business, The University of Texas at Austin, Austin, TX 78712
| | - Rahi Kalantari
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712
| | - Teresa K. Yamana
- Department of Environmental Health Sciences, Columbia University, New York, NY 10032
| | - Sen Pei
- Department of Environmental Health Sciences, Columbia University, New York, NY 10032
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Columbia University, New York, NY 10032
| | - Michael L. Li
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Dimitris Bertsimas
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142
| | - Omar Skali Lami
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Saksham Soni
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Hamza Tazi Bouardi
- Operations Research Center, Massachusetts Institute of Technology; Cambridge, MA 02139
| | - Turgay Ayer
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
- Winship Cancer Institute, Emory University Medical School, Atlanta, GA 30322
| | - Madeline Adee
- Radiology-Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA 02114
| | - Jagpreet Chhatwal
- Radiology-Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA 02114
| | - Ozden O. Dalgic
- Health Economic Modeling, Value Analytics Labs, 34776 İstanbul, Turkey
| | - Mary A. Ladd
- Radiology-Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA 02114
| | - Benjamin P. Linas
- Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, MA 02118
| | - Peter Mueller
- Radiology-Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA 02114
| | - Jade Xiao
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
| | - Yuanjia Wang
- Department of Biostatistics, Columbia University, New York, NY 10032
- Department of Psychiatry, Columbia University, New York, NY 10032
| | - Qinxia Wang
- Department of Biostatistics, Columbia University, New York, NY 10032
| | - Shanghong Xie
- Department of Biostatistics, Columbia University, New York, NY 10032
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Alden Green
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Jacob Bien
- Marshall School of Business, Department of Data Sciences and Operations (DSO), University of Southern California, Los Angeles, CA 90089
| | - Logan Brooks
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Addison J. Hu
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Maria Jahja
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Daniel McDonald
- Department of Statistics, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Balasubramanian Narasimhan
- Department of Biomedical Data Sciences, Stanford University, Stanford, CA 94305
- Department of Statistics, Stanford University, Stanford, CA 94305
| | - Collin Politsch
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Samyak Rajanala
- Department of Statistics, Stanford University, Stanford, CA 94305
| | - Aaron Rumack
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Noah Simon
- Department of Biostatistics, University of Washington, Seattle, WA 98195
| | - Ryan J. Tibshirani
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Rob Tibshirani
- Department of Statistics, Stanford University, Stanford, CA 94305
| | - Valerie Ventura
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Larry Wasserman
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Eamon B. O’Dea
- Odum School of Ecology, University of Georgia, Athens, GA 30602
| | - John M. Drake
- Odum School of Ecology, University of Georgia, Athens, GA 30602
| | | | - Quoc T. Tran
- Catalog Data Science, Walmart Inc., Sunnyvale, CA 94085
| | - Lam Si Tung Ho
- Department of Mathematics and Statistics, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Huong Huynh
- Virtual Power System Inc, Milpitas, CA 95035
| | - Jo W. Walker
- COVID-19 Response, Centers for Disease Control and Prevention; Atlanta, GA 30333
| | - Rachel B. Slayton
- COVID-19 Response, Centers for Disease Control and Prevention; Atlanta, GA 30333
| | - Michael A. Johansson
- COVID-19 Response, Centers for Disease Control and Prevention; Atlanta, GA 30333
| | - Matthew Biggerstaff
- COVID-19 Response, Centers for Disease Control and Prevention; Atlanta, GA 30333
| | - Nicholas G. Reich
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003
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Li C, Yang L, Zhao W, Zhou S, Du W, Gao Z, Li H. Exerimental method and preliminary studies of the passive containment water film evaporation mass transfer. KERNTECHNIK 2022. [DOI: 10.3139/124.110643] [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: 11/20/2022]
Abstract
Abstract
For larger containments and higher operation parameters, characteristics of the outside cooling of the PCCS are very important for the analysis on the containment integrity. A preliminary analysis was made and a four-step experimental method was used to numerically analyze the falling water film evaporation for the advanced passive containment. Then, the water flow stability along the outside wall of the containment was studied. The results fit well with those correlations without airflow when the air velocity is less than 5.0 m/s. However, when the air velocity is larger than 5.0 m/s, the influence of the air velocity on the water film will appear and the mean water film thickness will be thicker. Based on the prototype operation parameters, experimental studies were carried and the results were compared with the Dittus-Boelter correlation within the operation ranges. A modification factor was proposed for the conservative application of this correlation for nuclear safety analysis.
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Affiliation(s)
- C. Li
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
- State Nuclear Power Research Institute, 102209, Future Park, Changping District , Beijing , , China
| | - L. Yang
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
| | - W. Zhao
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
| | - S. Zhou
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
| | - W. Du
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
| | - Z. Gao
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
| | - H. Li
- State Nuclear Power Technology Research & Development Center, Future Park, Changping District , Beijing , , China
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Sun XQ, Tan GQ, Gao Z, Liu XJ, Xia MT, Zhang YY, Sun RJ, Cui X. Lnc-AC145676.2.1-6-3 can influence STX3-induced abnormal autophagy by sponging hsa-miR-1292-3p in intestinal aGVHD. Eur Rev Med Pharmacol Sci 2022; 26:573-584. [PMID: 35113433 DOI: 10.26355/eurrev_202201_27884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVE Intestinal acute graft-versus-host disease (aGVHD) is a serious complication of allogeneic hematopoietic stem cell transplantation (allo-HSCT). Abnormal autophagy levels in intestinal aGVHD have been confirmed in many studies. LncRNAs exert coregulatory functions and participate in a variety of intracellular regulatory processes. In this study, we investigated how lnc-AC145676.2.1-6-3 regulates dysregulated STX3-related autophagy in aGVHD. MATERIALS AND METHODS First, we established a mouse model of aGVHD by transplanting a mononuclear cell suspension from Balb/c donor mice treated with 60Co X-rays into CB6F1 recipient mice. STX3-related indicators were analyzed by Western blotting (WB) and immunohistochemistry which confirmed that STX3 plays an important role in dysregulating autophagy in intestinal aGVHD. TNF-αinduced Caco-2 cells, which is an in vitro model of intestinal barrier dysfunction, were established to verify the effect of STX3. The direct interaction between the partners of lnc-AC145676.2.1-6-3-mediated hsa-miR-1292-3p and STX3 axis was evaluated by the Dual-Luciferase activity assay. We performed PCR, WB, and immunofluorescence in Caco-2 cells to determine whether the abnormal autophagy levels were influenced by lnc-AC145676.2.1-6-3. RESULTS The results showed that lnc-AC145676.2.1-6-3 could significantly suppress the number of autophagic vacuoles, the LC3-II/I ratio, and beclin1 levels by increasing STX3 levels. CONCLUSIONS Lnc-AC145676.2.1-6-3 may play an important role in intestinal aGVHD by targeting STX3.
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Affiliation(s)
- X-Q Sun
- Department of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
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Bai L, Gao Z, Jiang A, Ren S, Wang B. Circular noncoding RNA circ_0007334 sequestrates miR-577 to derepress KLF12 and accelerate colorectal cancer progression. Anticancer Drugs 2022; 33:e409-e422. [PMID: 34459455 DOI: 10.1097/cad.0000000000001221] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 11/26/2022]
Abstract
Colorectal cancer (CRC) is a prevalent malignant tumor with a poor prognosis. Circular RNA (circRNA) circ_0007334 is related to cell proliferation in CRC. This study is designed to explore the role and mechanism of circ_0007334 in CRC progression. Circ_0007334, microRNA-577 (miR-577) and kruppel-like factor 12 (KLF12) levels were measured by real-time quantitative PCR (RT-qPCR). Exosomes were detected by a transmission electron microscope and nanoparticle tracking analysis (NTA). CD63, TSG101, matrix metallopeptidase-2 (MMP-2), MMP-9, VEGFA and KLF12 protein levels were examined by western blot assay. The binding relationship between miR-577 and circ_0007334 or KLF12 was predicted by circRNA interactome or Starbase and verified by a dual-luciferase reporter and RNA immunoprecipitation (RIP) assays. Cell viability, colony number, migration, invasion and angiogenesis were detected by cell counting kit-8 (CCK-8), colony formation, wound healing, transwell and tube formation assays. The biological role of circ_0007334 was examined by the xenograft tumor model in vivo. Circ_0007334 and KLF12 were increased, and miR-577 was decreased in CRC tissues and cells. Also, circ_0007334 expression was upregulated in CRC cell-derived exosomes. Circ_0007334 deficiency repressed cell viability, colony formation, migration, invasion, and angiogenesis in CRC cells. Mechanically, circ_0007334 could regulate KLF12 expression by sponging miR-577. Circ_0007334 downregulation or exosomal circ_0007334 silencing blocked CRC tumor growth in vivo. These results presented that circ_0007334 deficiency exerts a tumor-suppressor by the miR-577/KLF12 axis in CRC, and indicated that exosomal circ_0007334 could hinder CRC tumor growth and angiogenesis in vivo. Our findings provided a novel therapeutic strategy for CRC.
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Affiliation(s)
- Liang Bai
- Department of General Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Shi Y, Chen W, Lin H, Gao Z, Yang B, Yang K, Chen D, Wang Z, Fan Q, Hua R, Liu H, Zhang A. An application research for near-surface repository of strontium-90 sorption kinetic model on mudrocks. KERNTECHNIK 2021. [DOI: 10.1515/kern-2021-1021] [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: 11/15/2022]
Abstract
Abstract
In this study,90Sr was used as the test radionuclide to characterize the sorption kinetics and effects of initial 90Sr activity and remaining 90Sr in solid concentration were simulated for a near-surface repository. The study focused on the sorption characteristics of radionuclides in unsaturated groundwater environment (or vadose zone) is the important information for investigating the near-surface disposal of intermediate and low-level radioactive waste (ILLW). Moreover, the 90Sr sorption experiments reached equilibrium within 56 h, which fit to the first order sorption kinetic model, and the remaining 90Sr in mudrock samples showed obvious sorption equilibrium hysteresis, which fit to the second order sorption kinetic model. Before reaching the maximum sorption capacity, the sorption rate constant increases with 90Sr increasing; the distribution coefficient (Kd) of 56 h decreases with the remaining 90Sr decreasing. In addition, it showed that the slow sorption process dominated before the sorption reaches equilibrium. In fact, a reliable safety assessment methodology for on-going near-surface repository required a lot of the radionuclides parameters with local environment including the radionuclides sorption/desorption rate constant and maximum sorption capacity.
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Affiliation(s)
- Y. Shi
- School of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013 , Jiangxi , China
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013 , Jiangxi , China
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
| | - W. Chen
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
| | - H. Lin
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
| | - Z. Gao
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
| | - B. Yang
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
| | - K. Yang
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
| | - D. Chen
- School of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013 , Jiangxi , China
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013 , Jiangxi , China
| | - Z. Wang
- School of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013 , Jiangxi , China
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013 , Jiangxi , China
| | - Q. Fan
- School of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013 , Jiangxi , China
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013 , Jiangxi , China
| | - R. Hua
- School of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013 , Jiangxi , China
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013 , Jiangxi , China
| | - H. Liu
- School of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013 , Jiangxi , China
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013 , Jiangxi , China
| | - A. Zhang
- Department of Nuclear Environmental Science, China Institute for Radiation Protection (CIRP) , Taiyuan 030006 , China
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Duan Y, Li Z, Wang X, Gao Z, Zhang H. Application of online case-based learning in the teaching of clinical anesthesia for residents during the COVID-19 epidemic. BMC Med Educ 2021; 21:609. [PMID: 34886875 PMCID: PMC8656444 DOI: 10.1186/s12909-021-03047-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 06/17/2021] [Accepted: 11/19/2021] [Indexed: 05/25/2023]
Abstract
OBJECTIVE COVID-19 prevention and control demand a reduction in crowd gathering, which has a significant impact on traditional teaching and offline case-based learning (CBL). In order to mitigate the impact of the COVID-19 outbreak on clinical teaching, we aimed to compare the effects of an online CBL with traditional teaching model on learning outcomes of anesthesia residents. METHODS Residents rotated in the Department of Anesthesiology in Beijing Tsinghua Changgung Hospital from January 2020 to February 2021 were included in Group W (n = 19), which implemented the W-CBL teaching model. The performance of residents was evaluated with theory test and 2 survey questionnaires (A and B) were conducted after 1 month of rotating. All 20 residents rotating in the Department of Anesthesiology at our hospital from January 2018 to December 2019 were included in Group C, which implemented the traditional teaching model. Their examination results were acquired through the teaching files and survey questionnaire (A) were administered through WeChat. RESULTS During the 1-month rotation, a total of 10 cases were discussed in Group W. The average score for theory test was higher in Group W than that in Group C (84.57 ± 4.87 vs. 79.35 ± 3.70, P = 0.001). The satisfaction rate was also in favor of Group W regarding to clinical thinking, communication skills, learning interest and self-learning ability (P < 0.05). CONCLUSIONS Online CBL based on WeChat platform is an effective and acceptable teaching strategy in comparison to lecture-based learning (LBL) among residents embarking on clinical anesthesia courses.
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Affiliation(s)
- Yi Duan
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
| | - Zuozhi Li
- Department of Special Care Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Xiaoyu Wang
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
| | - Zhifeng Gao
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China.
| | - Huan Zhang
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Beijing, 102218, China
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Abstract
This paper proposes a nonlinear optimal control approach for mulitple degrees of freedom (DOF) brachiation robots, which are often used in inspection and maintenance tasks of the electric power grid. Because of the nonlinear and multivariable structure of the related state-space model, as well as because of underactuation, the control problem of these robots is nontrivial. The dynamic model of the brachiation robots undergoes first approximate linearization with the use of Taylor series expansion around a temporary operating point which is recomputed at each iteration of the control method. For the approximately linearized model, an H-infinity feedback controller is designed. The linearization procedure relies on the Jacobian matrices of the brachiation robots’ state-space model. The proposed control method stands for the solution of the optimal control problem for the nonlinear and multivariable dynamics of the brachiation robots, under model uncertainties and external perturbations. For the computation of the controller’s feedback gains an algebraic Riccati equation is solved at each time-step of the control method. The global stability properties of the control scheme are proven through Lyapunov analysis. The new nonlinear optimal control approach achieves fast and accurate tracking for all state variables of the brachiation robots, under moderate variations of the control inputs.
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Affiliation(s)
- G. Rigatos
- Unit of Industrial Automation, Industrial Systems Institute, Rion Patras 26504, Greece
| | - M. Abbaszadeh
- GE Global Research, General Electric, Niskayuna 12309, NY, USA
| | - K. Busawon
- Department of Mechanical Engineering, University of Northumbria, Newcastle NE1 8ST, UK
| | - Z. Gao
- Department of Electrical Engineering, University of Northumbria, Newcastle NE1 8ST, UK
| | - J. Pomares
- Department of Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante 03690, Spain
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Wang YZ, Lv YB, Li GY, Zhang DQ, Gao Z, Gai QZ. Value of low-dose spiral CT combined with circulating miR-200b and miR-200c examinations for lung cancer screening in physical examination population. Eur Rev Med Pharmacol Sci 2021; 25:6123-6130. [PMID: 34661272 DOI: 10.26355/eurrev_202110_26890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study is to investigate the clinical value of low-dose spiral CT (LDCT), plasma miR-200b, and miR-200c combined screening for lung cancer screening in the physical examination population. PATIENTS AND METHODS From January 2016 to December 2018, the Physical Examination Center of our hospital underwent low-dose spiral CT lung cancer screening for 10,823 people aged ≥40 years. The quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) was used to detect the relative expressions of miR-200b and miR-200c in plasma, analyze the imaging characteristics of suspicious nodules in the lung and the relative expressions of miR-200b and miR-200c in plasma. RESULTS A total of 2,919 pulmonary nodules were detected in the 10823 physical examination population, with a total detection rate of 26.97%, including 1523 males and 1396 females. 1081 positive nodules were detected with a detection rate of 9.99%. According to the Lung-RADS classification, the number of type 2 nodules was the highest, with a detection rate of 22.13%. Meanwhile, the rate of type 3 nodules was 3.15%, and the rate of type 4 nodules was 1.69%. The sensitivity, accuracy, and negative predictive value of LDCT, miR-200b, and miR-200c in the diagnosis of lung cancer were significantly improved compared with the individual tests, which were 94.74%, 90.16%, and 95.88%, respectively. CONCLUSIONS Low-dose spiral CT combined with plasma miR-200b and miR-200c for lung cancer screening in the physical examination population can help to detect lung cancer patients with early symptoms that are not significant, and achieve early diagnosis and early treatment.
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Affiliation(s)
- Y-Z Wang
- Department of Clinical Laboratory, Yantaishan Hospital, Yantai, China.
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Yuan DS, Jia SD, Zhang C, Liu Y, Zhao XY, Yang YJ, Gao RL, Xu B, Gao Z, Yuan JQ. Degree of peripheral Thyroxin Deiodination and recurrent cardiovascular events in euthyroid patients undergoing PCI: five-year findings from a large single-center cohort study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1100] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
In euthyroid patients undergoing percutaneous coronary intervention (PCI), it is still unclear whether thyroxin deiodination level can predict the recurrence of cardiovascular events (CVEs). Using free triiodothyronine to free thyroxine (FT3/FT4) ratio, a marker of peripheral thyroxin deiodination, we aim to investigate its association with recurrent long-term adverse events in this population.
Methods
3549 euthyroid patients with prior CVEs history undergoing PCI were consecutively enrolled in our study and subsequently divided into three FT3/FT4 ratio tertiles (T1<2.41, n=1170; 2.41≤T2<2.75, n=1198; T3>2.75, n=1181). The primary endpoint was major adverse cardiovascular and cerebrovascular event (MACCE), a composite of all-cause death, myocardial infarction, stroke and revascularization. The secondary endpoints were all-cause death and cardiac death.
Results
The median follow-up time was 5 years. The incidence of all-cause death, cardiac death and MACCE were significantly higher among patients in the lowest FT3/FT4 tertile (P<0.05). After adjustment of confounding factors, decreased FT3/FT4 ratio was independently associated with an increased risk of all-cause death (HR 1.82, 95% CI 1.13–2.93, P=0.014), cardiac death (HR 1.90, 95% CI 1.04–3.46, P=0.036) and MACCE (HR 1.33, 95% CI 1.10–1.60, P=0.003).
Conclusions
In euthyroid patients undergoing PCI, FT3/FT4 ratio, a surrogate marker of peripheral thyroxin deiodination, demonstrates a strong association with long-term recurrent cardiovascular events. Routine assessment of FT3/FT4 ratio might be a simple and effective tool for risk stratification in this specific patient population.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Key Research and Development Program of China (No. 2016YFC1301300, 2016YFC1301301); National Natural Science Foundation of China (No. 81770365)
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Affiliation(s)
- D S Yuan
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - S D Jia
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - C Zhang
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Y Liu
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - X Y Zhao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Y J Yang
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - R L Gao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - B Xu
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Z Gao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - J Q Yuan
- Fuwai Hospital, CAMS and PUMC, Beijing, China
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Yuan DS, Jiang P, Jia SD, Zhang C, Liu Y, Zhao XY, Yang YJ, Gao RL, Xu B, Gao Z, Yuan JQ. Prognostic utility of fibrinogen in patients with coronary artery disease and prediabetes or diabetes following percutaneous coronary intervention: five-year findings from a large single-center cohort. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1099] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
The prognosis for patients with coronary artery disease (CAD) remains unfavorable despite advances in treatment. Fibrinogen (FIB) is an independent risk factor for mortality and cardiovascular events in general population. However, the relationship between FIB and long-term mortality among CAD patients undergoing PCI is less investigated, especially in individuals concomitated with diabetes mellitus (DM) and prediabetes (Pre-DM).
Methods
6140 patients with CAD undergoing PCI were consecutively enrolled in our study and subsequently divided into three groups according to FIB levels (FIB-L, FIB-M, FIB-H). These patients were further grouped by glycemic metabolism state [normoglycemia (NG), Pre-DM, DM]. The primary endpoint was all-cause mortality. The secondary endpoint was cardiac mortality.
Results
FIB was positively associated with hemoglobin A1c (HbA1c) and fasting blood glucose (FBG) both in CAD patients with and without DM. During a median follow-up time of 5.1 years, elevated FIB was significantly associated with long-term mortality from all-cause (adjusted HR: 1.86; 95% CI: 1.28–2.69; P=0.001) and cardiac specific (adjusted HR: 1.82; 95% CI: 1.15–2.89; P=0.011). Similarly, patients with DM but not Pre-DM had increased risk of all-cause and cardiac mortality (all P<0.05). When grouped by both FIB levels and glycemic metabolism state, diabetic patients with medium and high FIB levels had higher risk of mortality [(adjusted HR: 2.57; 95% CI: 1.12–5.89), (adjusted HR: 3.04; 95% CI: 1.35–6.82), all P<0.05]. Notably, prediabetic patients with high FIB also had higher mortality risk (adjusted HR: 2.27; 95% CI: 1.01–5.12).
Conclusion
FIB was strongly associated with long-term all-cause and cardiac mortality among CAD patients undergoing PCI, especially in persons concomitated with DM and Pre-DM, indicating FIB test may help identify high-risk individuals in this specific patient population.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Key Research and Development Program of China (No. 2016YFC1301300, 2016YFC1301301); National Natural Science Foundation of China (No. 81770365)
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Affiliation(s)
- D S Yuan
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - P Jiang
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - S D Jia
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - C Zhang
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Y Liu
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - X Y Zhao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Y J Yang
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - R L Gao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - B Xu
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Z Gao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - J Q Yuan
- Fuwai Hospital, CAMS and PUMC, Beijing, China
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Wang X, Duan Y, Gao Z, Gu J. Effect of Goal-directed Fluid Therapy on the Shedding of the Glycocalyx Layer in Retroperitoneal Tumour Resection. J Coll Physicians Surg Pak 2021; 31:1179-1185. [PMID: 34601838 DOI: 10.29271/jcpsp.2021.10.1179] [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: 10/27/2020] [Accepted: 09/22/2021] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To evaluate the effects of different stroke volume variation (SVV) targets on endothelial glycocalyx (EG) shedding. STUDY DESIGN Randomised controlled trial. PLACE AND DURATION OF STUDY Department of Anaesthesiology, Peking University International Hospital, Beijing, China, from February to June 2018. METHODOLOGY Patients undergoing elective retroperitoneal tumour resection were assigned to one of two groups. SVV 9% group (n=40), who received a more traditional (liberal) fluid therapy with SVV ≤9%; and the SVV 14% group (n=40), received restrictive fluid therapy with SVV ≤14%. Patients' serum concentrations of syndecan-1 (SDC-1), interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α) were measured at the time that patients entered the operating theatre; at 1- and 4-hours following initiation of the surgery; and at 24- and 72-hours post-surgery. Postoperative complications, and one-year survival rates were also noted. RESULTS Perioperative serum SDC-1, IL-6 and TNF-α concentrations were significantly elevated in both groups, which were more pronounced in SVV 9% (p = 0.028, <0.001, and <0.001 respectively). A positive correlation was observed between SDC-1 and TNF-α, L-6, and infusion volume, respectively. Postoperative complications, including fever and blood transfusion, were more aggravated in SVV 9% than those in SVV 14% (80% vs. 59%, and 45% vs. 23.1%, both p <0.05). However, no significant difference in the one-year survival rate was observed. CONCLUSION Using SVV 14% as a target for guiding fluid therapy in elective retroperitoneal tumour resection was associated with reduced perioperative glycocalyx shedding, ameliorated inflammatory response, and reduced postoperative complications. Key Words: Randomised controlled trial, Retroperitoneal neoplasms, Glycocalyx, Tumour necrosis factor-alpha, Interleukin-6, Fluid therapy, Stroke volume.
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Affiliation(s)
- Xiaoyu Wang
- Department of Anaesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yi Duan
- Department of Anaesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Zhifeng Gao
- Department of Anaesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Jie Gu
- Department of Anaesthesiology, Peking University International Hospital, Beijing, China
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49
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Duan Y, Li Z, Wang X, Cui L, Gao Z, Zhang H. Risk Factors and Prognosis of New-Onset Chronic Kidney Disease Following Orthotopic Liver Transplantation: A Retrospective Case-Control Study. Med Sci Monit 2021; 27:e931834. [PMID: 34537807 PMCID: PMC8459623 DOI: 10.12659/msm.931834] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Background We have undertaken this investigation to explore the perioperative risk factors of new-onset chronic kidney disease (NOCKD) after orthotopic liver transplantation (OLT), and to provide an early prediction model for the screening of NOCKD high-risk populations. Material/Methods A retrospective case-control study was performed in adult recipients who received OLT in our center between January 2018 and January 2020. Perioperative data were collected using the center’s electronic medical record system. Logistics regression analysis was used to determine risk factors for NOCKD within 1 year following OLT. Kaplan-Meier and log-rank tests were used to evaluate the 1-year survival of recipients with NOCKD or without NOCKD. Results A total of 174 patients were included in this study, and 29 patients developed NOCKD after OLT. Logistic multivariate regression analysis showed that preoperative diabetes, high model for end-stage liver disease (MELD) score, postoperative acute kidney injury (AKI), and postoperative renal replacement therapy (RRT) were independent risk factors for NOCKD 1 year after OLT. The 1-year survival rate of NOCKD recipients waas significantly lower than that of patients who did not receive NOCKD. Conclusions Diabetes mellitus, MELD score, postoperative AKI, and requirement for postoperative RRT are independent risk factors for NOCKD after OLT, which may have great potential for personalized decision making and predicting the 1-year postoperative mortality of the recipient.
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Affiliation(s)
- Yi Duan
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China (mainland)
| | - Zuozhi Li
- Special Care Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (mainland)
| | - Xiaoyu Wang
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China (mainland)
| | - Lei Cui
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China (mainland)
| | - Zhifeng Gao
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China (mainland)
| | - Huan Zhang
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China (mainland)
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50
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Fan Y, Odabasi A, Sims CA, Schneider KR, Gao Z, Sarnoski PJ. Determination of aquacultured whiteleg shrimp (Litopanaeus vannemei) quality using a sensory method with chemical standard references. J Sci Food Agric 2021; 101:5236-5244. [PMID: 33611806 DOI: 10.1002/jsfa.11172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 07/24/2020] [Revised: 02/14/2021] [Accepted: 02/21/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Fresh shrimp are highly perishable seafood and a reliable spoilage assessment method is necessary to ensure sufficient quality control. The current quality evaluation method employed by the US Food and Drug Administration (FDA)/National Oceanic and Atmospheric Administration (NOAA) uses subjective terms 'odor of decomposition' to reject shrimp shipments, which lacks reference standards to anchor the concept and can cause ambiguity. The present study aimed to develop chemical reference standards to assist in a more objective and consistent sensory evaluation of shrimp quality. RESULTS Chemical references were developed and used by the descriptive panel to demonstrate the aroma quality indicators of shrimp. The most important aroma attributes describing shrimp quality changes were 'salty water-like', 'natto water-like' and 'sour milk-like' based on the results of multiple linear regression analysis. The overall rating consistency of the key quality indicators was confirmed by trained a descriptive panel such that the intensity scores in two separated evaluation sessions (30 days apart) were not significant different (P > 0.05). The sensory ratings also corresponded well with presumed FDA/NOAA grades of shrimp. An untrained panel also confirmed 'salty water-like' as the main indicator of freshness and 'natto water-like' as the main indicator of spoilage, whereas the discriminative capacity was lower compared to the trained panel. CONCLUSION The developed chemical references of key aroma quality indicators allowed the trained and untrained panels to distinguish shrimp of different freshness levels. The results indicate the potential of using chemical references as a new evaluation tool for on-site quality inspection or industrial quality assurance/quality control of shrimp with improved objectivity and consistency. © 2021 Society of Chemical Industry.
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Affiliation(s)
- Ying Fan
- Department of Food Science and Human Nutrition, University of Florida, Gainesville, FL, USA
| | - Asli Odabasi
- Department of Food Science and Human Nutrition, University of Florida, Gainesville, FL, USA
| | - Charles A Sims
- Department of Food Science and Human Nutrition, University of Florida, Gainesville, FL, USA
| | - Keith R Schneider
- Department of Food Science and Human Nutrition, University of Florida, Gainesville, FL, USA
| | - Zhifeng Gao
- Department of Food Science and Human Nutrition, University of Florida, Gainesville, FL, USA
- Department of Food and Resource Economics, University of Florida, Gainesville, FL, USA
| | - Paul J Sarnoski
- Department of Food Science and Human Nutrition, University of Florida, Gainesville, FL, USA
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