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Gai YL, Huang HD, Zhang W, Li X, Zhang XQ, Jiao Y, Wang Q, Dong YC, Bai C. [A case of left pulmonary artery sling combined with congenital tracheal stenosis in an adult]. ZHONGHUA JIE HE HE HU XI ZA ZHI = ZHONGHUA JIEHE HE HUXI ZAZHI = CHINESE JOURNAL OF TUBERCULOSIS AND RESPIRATORY DISEASES 2023; 46:1011-1014. [PMID: 37752044 DOI: 10.3760/cma.j.cn112147-20230603-00293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
Pulmonary artery sling in adults is a rare congenital vascular malformation usually accompanied by tracheal and bronchial stenosis. Due to its high mortality risk and relatively poor prognosis, it has rarely been reported in adults. We reported a middle-aged patient who presented with shortness of breath, predominantly after activity, since childhood. He was diagnosed with "tracheal stenosis" in another hospital and received symptomatic treatment. The diagnosis of left pulmonary artery sling with congenital tracheal stenosis was confirmed by multi-slice spiral CT (MSCT), airway examination with flexible bronchoscope and 3D image post-processing system. Data from this case and the related literatures have been summarized and analyzed. This will help clinicians to improve their level of diagnosis and treatment.
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Yuan XT, Kang SH, Wang Q, Bai YS, Che HL. [The implementation and management of disease risk reduction claims in the European Union and the United States]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2023; 57:1674-1681. [PMID: 37859388 DOI: 10.3760/cma.j.cn112150-20230616-00476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
The improvement of food labeling can improve consumers' health awareness, reduce the burden of chronic diseases on the health and economy, and promote the development of the healthy food industry. Disease Risk Reduction Claim has been developed in European Union and the U.S. for over 20 years, with mature management methods and experience, but it is still lacking in China. Learning and drawing on the international management experience of food disease risk reduction claims can assist China to establish food disease risk reduction claims and improve the food health claims and labeling system.
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Wang Q, Chen X, Wu L, Wang Y, Peng L, Li T, Han Y. Endoscopic Ultrasonography-Derived Maximum Tumor Thickness and Tumor Shrinkage Rate as Independent Prognostic Factors in Locally Advanced Esophageal Squamous Cell Carcinoma after Neoadjuvant Chemoradiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e349. [PMID: 37785210 DOI: 10.1016/j.ijrobp.2023.06.2421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Neoadjuvant chemoradiotherapy (NCRT) is increasingly used in patients with locally advanced esophageal squamous cell carcinoma (LA-ESCC). Endoscopic ultrasonography (EUS)-derived maximum tumor thickness (MTT) before and after standard NCRT for LA-ESCC indicates treatment response. However, the accuracy of predicting long-term survival remains uncertain. This study aimed to investigate the association between EUS-derived MTT pre- and post-NCRT and tumor shrinkage rate as well as long-term survival in patients with LA-ESCC receiving NCRT. MATERIALS/METHODS We retrospectively enrolled patients with LA-ESCC who underwent EUS examination pre- and post-NCRT from 2017 to 2021. MTT was measured using EUS. Tumor shrinkage rate was the ratio of the difference between pre- and post-MTT to pre-MTT. The most fitted cut-off value defining the EUS response was determined by the receiver operating characteristic curve. Univariate and multivariate Cox regression analyses and Kaplan-Meier (KM) curves were used to calculate overall survival (OS) and progression-free survival (PFS). Data from another center were also used for external validation testing. RESULTS The median follow-up period was 30.6 months.230 patients with LA-ESCC who underwent EUS pre- or post-NCRT were enrolled. Of the patients, 178 completed the first EUS pre-NCRT and obtained pre-MTT, 200 completed the re-examined EUS post-NCRT and obtained post-MTT, and 148 completed both EUS and achieved tumor shrinkage. In the whole group the 1-year and 3-year OS rates were 93.9% and 67.9%, and PFS rates were 77.7% and 54.1%, respectively. Thinner post-MTT (≤8.8 mm) and EUS-responders (tumor shrinkage rate≥52%) were independently associated with better OS. The result of EUS-respond was an independent prognostic factor could be confirmed in the external validation group. Among LA-ESCC patients with initial ultrasonic T2-3 staging and T4 staging, no statistically differences were observed between the responder and non-responder groups (P = 0.082; P = 0.190). CONCLUSION EUS-derived MTT and tumor shrinkage post-NCRT are independent prognostic factors for long-term survival and may be an alternative method for evaluating tumor response in patients with LA-ESCC after NCRT. Initial tumor infiltration beyond esophageal adventitial layer on ultrasound effect could not, however, predict the long-term prognosis.
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Wang Y, Zhang H, Ma K, Zhou Y, Wang Q, Lin T. Comparison of Pathologic Response and Survival Outcomes between Neoadjuvant Immunochemotherapy (nICT) and Neoadjuvant Chemoradiotherapy (nCRT) in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma: A Propensity Score-Matched Analysis. Int J Radiat Oncol Biol Phys 2023; 117:e350. [PMID: 37785214 DOI: 10.1016/j.ijrobp.2023.06.2423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The neoadjuvant immunochemotherapy (nICT) is a novel treatment, which is likely to be safer for locally advanced, surgically resectable Esophageal squamous cell carcinoma (ESCC) that comparing with the traditional neoadjuvant therapy. However, the efficacy of nICT was controversial and the survival benefit remain unknown. MATERIALS/METHODS This study included 313 patients with locally advanced ESCC who underwent surgery following neoadjuvant therapy at Sichuan Cancer Hospital from June 2017 and September 2021. The patients were divided into nICT group and neoadjuvant chemoradiotherapy (nCRT) group according to the neoadjuvant strategy. A 1:2 propensity score matching (PSM) was used to balance potential bias across several covariates between two groups with a caliper 0.05. RESULTS Among the 146 patients after PSM, the baseline factors were comparable between two groups. Compared with the nCRT group, the nICT group shown a lower pathologic complete response(pCR) rate (11.54% vs 35.11%; P = 0.0039) and lymph nodes uninvolved rate (ypN0: 44.23% vs 62.77%; P = 0.0154), but a higher perineural invasion (32.69% vs 12.77%; P = 0.0075) and angioinvasion rate (40.38% vs 10.64%; P = 0.0001). However, the 2-year OS and DFS rates were similar between the nICT group and the nCRT group in overall study cohort, and these data were confirmed in the matched samples (2-year OS, 78.2% vs 77.2% [p = 0.95]; DFS, 56.9% vs 58.0% [p = 0.69]). CONCLUSION Our preliminary findings indicate that, for individuals with locally advanced ESCC, nICT followed by surgery appears to be less effective in pathologic outcomes, while having a comparable survival rate to nRCT. These results imply a complicated and possibly multifaceted link between the kind of neoadjuvant therapy, the pathologic outcomes, and the final survival.
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Yu J, Jiang L, Zhao L, Wang X, Yang X, Yang D, Zhuo M, Chen H, Zhao YD, Zhou F, Li Q, Zhu Z, Chu L, Ma Z, Wang Q, Qu Y, Huang W, Zhang M, Gu T, Liu S, Yang Y, Yang J, Yu H, Yu R, Zhao J, Shi A. High Dose Hyperfractionated Thoracic Radiotherapy vs. Standard Dose for Limited Stage Small-Cell Lung Cancer: A Multicenter, Open-Label Randomized, Phase 3 Trial. Int J Radiat Oncol Biol Phys 2023; 117:S1. [PMID: 37784261 DOI: 10.1016/j.ijrobp.2023.06.205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Limited stage small-cell lung cancer (LS-SCLC) is associated with poor prognosis. We aimed to assess the efficacy and safety of high-dose, hyperfractionated thoracic radiotherapy of 54 Gy in 30 fractions compared with standard dose (45 Gy in 30 fractions) as a first-line treatment for LS-SCLC. MATERIALS/METHODS The study was an open-label, randomized, phase 3 trial, done at 16 public hospitals in China. Key inclusion criteria were patients aged 18-70 years, with previously histologically or cytologically confirmed LS-SCLC, previously untreated or received 1-2 courses of intravenous cisplatin (75 mg/m²of body-surface area, on day 1 or divided into two days of each cycle) or carboplatin (area under the curve of 5 mg/mL per min, day 1 of each cycle)and intravenous etoposide (100 mg/m²of body-surface area, on days 1-3 of each cycle), and an Eastern Cooperative Oncology Group (ECOG) performance status of 0-1.Eligible patients were randomly assigned (1:1) to receive volumetric-modulated arc radiotherapy (VMAT) of 45 Gy in 30 fractions or the simultaneous integrated boost VMAT (SIB-VMAT) of 54 Gy in 30 fractions to the primary lung tumor and lymph node metastases starting 0-42 days after the first chemotherapy course. Both groups of patients received thoracic radiotherapy twice per day and 10 fractions per week. Prophylactic cranial radiation (PCI, 25 Gy in 10 fractions) was implemented to patients with responsive disease. The primary endpoint was overall survival. Safety was analyzed in the as-treated population. RESULTS Between June 30, 2017, and April 6, 2021, 224 eligible patients were enrolled and randomly assigned to 54 Gy (n = 108) or 45 Gy (n = 116). Median follow-up for the primary analysis was 45 months (IQR 41-48). Median overall survival was significantly improved in the 54 Gy group (62.4 months) compared with the 45 Gy group (43.1 months; p = 0.001). Median progression-free survival was significantly improved in the 54 Gy group (30.5 months) compared with the 45 Gy group (16.7 months; p = 0.044). The most common grade 3-4 adverse events were neutropenia (30 [28%] of 108 patients in the 54 Gy group vs 27 [23%] of 116 patients in the 45 Gy group), neutropenic infections (6 [6%] vs 2 [2%]), thrombocytopenia (13 [12%] vs 12 [10%]), anemia (6 [6%] vs 4 [3%]), and esophagitis (1 [1%] vs 3 [3%]). Treatment-related serious adverse events occurred in 9 [8%] patients in the 54 Gy group and 16 [14%] patients in the 45 Gy group. There were one treatment-related deaths in 54 Gy group (myocardial infarction). CONCLUSION Compared with standard thoracic radiotherapy dose of 45 Gy, the high dose of 54 Gy improved overall survival and progression-free survival without increasing toxicities in patients with LS-SCLC, supporting twice-daily hyperfractionated thoracic radiotherapy of 54 Gy with concurrent chemotherapy is an alternative treatment option for LS-SCLC. This study is complete and registered with ClinicalTrials.gov, NCT03214003.
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Zhu J, Zhang W, Huang W, Zhang Y, Li T, Wang Q. Radical Chemoradiotherapy vs. Radical Surgery plus Adjuvant Chemotherapy or Chemoradiotherapy in Locally Advanced Primary Small Cell Carcinoma of the Esophagus: A Multicenter Retrospective Study in China. Int J Radiat Oncol Biol Phys 2023; 117:e359-e360. [PMID: 37785236 DOI: 10.1016/j.ijrobp.2023.06.2446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The purpose was to compare the treatment outcomes of radical chemoradiotherapy versus radical surgery plus adjuvant chemotherapy or chemoradiotherapy in locally advanced primary small cell carcinoma of the esophagus (LA-PSCCE). The hypothesis was that radical chemoradiotherapy had better overall survival (OS) than radical surgery plus adjuvant chemotherapy or chemoradiotherapy. MATERIALS/METHODS This large-scale multicenter retrospective study in China enrolled patients with newly diagnosed LA-PSCCE (T3-4N0M0 or TanyN+M0, AJCC 8th edition) from 2008 to 2021. According to different curative treatment approaches, patients were divided into two groups: radical chemoradiotherapy (group: CRT), and radical surgery following adjuvant chemotherapy or chemoradiotherapy (group: S + CT/CRT). The propensity score match (PSM) was applied to reduce the effect of confounding biases in clinicopathological characteristics (age, gender, KPS, tumor location, tumor length, and cTNM stage). Univariate Cox-regression analysis and Kaplan-Meier curve were calculated for OS. Statistical results were summarized as hazard ratio (HR), 95% confidence interval (CI) and P value. A two-sided P < 0.05 was regarded to be statistically significant. RESULTS A total of 291 patients with a median follow-up of 4.3 years were retrospectively enrolled. After PSM analysis, 94 and 94 patients were eventually included in group CRT and S + CT/CRT, respectively. Group CRT demonstrated a significantly superior survival than group S + CT/CRT (HR, 0.63; 95% CI, 0.43-0.91; P = 0.01), with a 3-year OS of 49.5% and 27.8% (P = 0.02), respectively. In secondary analysis, patients treated with radical chemoradiotherapy consistently showed significant survival benefit than those with radical surgery plus adjuvant chemoradiotherapy (HR, 0.4; 95% CI, 0.21-0.79; P = 0.008). CONCLUSION For patients with newly diagnosed LA-PSCCE, radical chemoradiotherapy should be a preferred recommendation in real-world clinical practice.
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Tang W, Guo Q, Chen J, Wu Q, Zhang T, Wang Q, Zhang X, Xie P. The Predictive Value of Circulating Exosomal PD-L1 in Cervical Cancer Immunotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e548-e549. [PMID: 37785688 DOI: 10.1016/j.ijrobp.2023.06.1851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Programmed death ligand 1 (PD-L1) expression was wildly used as a predictor of immune Check-Point Inhibitors (ICIs) efficiency. However, emerging results showed that PD-L1 was of great heterogeneity in sampling time and site. Recently, some studies found that exosomal PD-L1(ExoPD-L1) was related to ICIs response. In this study, we aimed to explore the predictive value of ExoPD-L1 in ICIs treatment of cervical cancer (CC) for the first time. MATERIALS/METHODS A total of 40 primarily diagnosed CC patients who accepted radical radiotherapy (RT) from March 2021 to October 2022 were included. The consecutive tumor sample were collected before and during RT. Another 37 advanced CC patients who accepted ICIs combination therapy from June 2020 to October 2022 were enrolled in this study. Blood samples were collected from each participant before and during treatment. Exosomes were derived by differential centrifugation, which was further identified by Western blot (WB) (CD9/TSG101/Calnexin), transmission electron microscope analysis and nanoparticle tracking analysis. ExoPD-L1 detection was conducted by enzyme-linked immuno-sorbent assay (ELISA). The knockout of PD-L1 was conducted via CRISPR/Cas9 assay and the overexpress of PD-L1 was conducted by lentiviral transfection. CD8+ T cells were extracted from murine spleen by CD8+ T Cell Isolation Kit. Immune cells and cytokines markers were detected by multicolor flow cytometry. RESULTS The consecutive detection of PD-L1 showed a dynamic change during RT. Compared with the level before RT, PD-L1 expression elevated in most patients (87.5%, 35/40) after RT. And the responders (n = 18) had elevated ExoPD-L1 level at the first two circles in the ICIs combination therapy (P<0.001). Whereas the level of pre-treatment ExoPD-L1 couldn't stratified clinical responders and non-responders (P = 0.181). The median follow-up time was 14.13 months. The mPFS in increased group vs. decreased group: not reach vs.11.02 months (P = 0.025, HR: 0.218, 0.052-0.913). Continuous blood sampling of mice models also found that effective therapeutic intervention could increase ExoPD-L1 in the early stage. The combination of exosome inhibitor GW4869 and anti-PD-1 further inhibited tumor growth. Mice were injected with external ExoPD-L1OE and ExoPD-L1KO. The results showed that ExoPD-L1OE suppressed body immunity and promoted tumor growth. The results of flow cytometry showed that ExoPD-L1OE inhibited CD8+ T cells from releasing interferon-and granzyme B. And ExoPD-L1OE also suppressed the CD8+ T cells proliferation in murine spleen. The coculture of CD8+ T cells and exosomes in vitro also confirmed the above conclusion. CONCLUSION Compared with unstable and impressionable tumoral PD-L1, ExoPD-L1 seems to be better predictor for the efficacy of immunotherapy in CC, which was with easy accessibility and continuation. Exosome PD-L1 played an immunosuppressive role by inhibiting the proliferation and functional factor release of CD8+ T cell.
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Liu Y, Wang Y, Ma Z, Bao Y, Zhang W, Zhang H, Deng H, Men Y, Zhai Y, Wang X, Liu W, Bi N, Ye F, Men K, Qin J, Xue L, Wang Q, Hui Z. A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi-Center Study. Int J Radiat Oncol Biol Phys 2023; 117:e318. [PMID: 37785139 DOI: 10.1016/j.ijrobp.2023.06.2355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Nearly 30% of patients with local advanced esophageal cancer achieved pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT), who may benefit from organ-preservation strategy under accurate prediction of pCR. We aimed to develop and validate machine learning models based on clinicohematological markers and MR radiomics to accurately predict pCR of esophageal cancer after nCRT. MATERIALS/METHODS In this multi-center study, eligible patients with esophageal cancer who received baseline MR scan (T2-weighted image) and nCRT plus surgery were enrolled between September 2014 and September 2022 at institution 1 (training set) and between December 2017 and August 2021 at institution 2 (testing set). Pre-nCRT and post-nCRT blood test results were collected to calculate hematological markers. Models were constructed by machine learning based on clinicohematological markers and MR radiomics to predict pCR. Area under the curve (AUC) and cut-off analysis were used to evaluate model performances. RESULTS Totally 154 patients (81 in the training set and 73 in the testing set) were enrolled. The combined model integrating pre-nCRT monocyte-to-lymphocyte ratio and 6 radiomics features achieved AUC of 0.800 (95% CI 0.671-0.918) in the testing set, with sensitivity of 79.2% (95% CI 62.5%-95.8%), specificity of 83.7% (95% CI 73.5%-93.9%), positive predictive value of 76.0% (95% CI 62.5%-90.0%), and negative predictive value of 89.6% (95% CI 82.0%-95.8%). CONCLUSION A machine learning model based on clinicohematological markers and MR radiomics to predict pCR after nCRT for patients with esophageal cancer was developed and validated, providing a novel tool for personalized treatment. It is necessary to further validate in more large datasets.
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Wang Q, Yue H, Zhou X, Wu L, Wang Y, Li T, Wang J. Develop a Deep Radiomics Model for Predicting the Response to Neoadjuvant Chemoradiotherapy (nCRT) in Patients with Locally Advanced Esophageal Cancer Using Three-Stage Longitudinal CT Images. Int J Radiat Oncol Biol Phys 2023; 117:e491. [PMID: 37785550 DOI: 10.1016/j.ijrobp.2023.06.1722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To develop a deep radiomics model for predicting the response to neoadjuvant chemoradiotherapy (nCRT) of patients with locally advanced esophageal cancer using three stage longitudinal CT images. MATERIALS/METHODS In this study, 189 patients were used to train our model, 80 patients were used to test the performance of the trained model. All patients enrolled in this study underwent nCRT followed by esophagectomy, and all patients underwent three stage longitudinal CT scans (before nCRT, after nCRT and before esophagectomy). The number of radiomics features for each CT images was 2153, the number of longitudinal radiomic features for each patient was 6459. Then, we used the least absolute shrinkage and selection operator regression for feature importance analysis. After this, the selected features of each stage were feed to the disentangled representation network to explore the relationship between the dynamic changes of tumors before and after nCRT and the pathological complete response (pCR). In addition, in order to further evaluate the effect of the time interval between nCRT and esophagectomy on the response to nCRT, we conducted subgroup analysis on different time frames. The performance of our model was evaluated by area under curve (AUC), accuracy, sensitivity and specificity. RESULTS Compared with only using single-stage CT images (the AUC of only using before nCRT CT images, after nCRT CT images, before esophagectomy CT images were 73.27%, 74.21%, and 74.95%, respectively), effectively exploring the dynamic changes of the tumor can achieve better performance in predicting the response to nCRT in the testing cohort (the AUC was 84.29%, 95% CI, 81.14%-87.44%). In addition, the performance of our proposed method outperforms any combinations of two stage CT images (the AUC using the CT images of before nCRT and after nCRT was 77.92%, the AUC using the CT images of before nCRT and before esophagectomy was 79.31%, the AUC using the CT images of after nCRT and before esophagectomy was 80.01%). Finally, the results showed that exploring the dynamic changes of the tumor using the three-stage CT images outperformed using single-stage CT images and any combinations of two-stage CT images in predicting the response to nCRT. The study also found that the time interval between nCRT and esophagectomy had some influence on the accuracy of pCR prediction, with the prediction accuracy tending to increase from 1 to 6 weeks and stabilizing after 6 weeks. CONCLUSION By exploring the dynamic changes of tumors, the designed disentangled representation network can effectively predict the response to nCRT of patients with esophageal cancer. In addition, the time interval between nCRT and esophagectomy also has a certain impact on the response to nCRT.
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Lu J, Wang Q, Wang KH, Ma M, Wang XG, Guo J, Dou TC, Hu YP, Li YF, Yang Z, Qu L. Effects of energy restriction during growing phase on the productive performance of Hyline Brown laying hens aged 6 to 72 wk. Poult Sci 2023; 102:102942. [PMID: 37566966 PMCID: PMC10432841 DOI: 10.1016/j.psj.2023.102942] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 06/21/2023] [Accepted: 07/15/2023] [Indexed: 08/13/2023] Open
Abstract
The aim of this study was to assess the effects of energy-restricted feeding during growing phase on the productive performance of Hyline Brown laying hens aged 6 to 72 wk. A total of 720 six-week-old layer chicks were allocated equally to 3 groups with 6 replicates of 40 pullets each, and were fed 1 of 3 diets that were nutritionally similar except for the apparent metabolizable energy corrected for nitrogen (AMEn) content. At the age of 6 to 17 wk, the pullets in the control group were given diet with 2,850 kcal/kg AMEn, and were fed ad libitum. The levels of AMEn in diet of pullets in the experimental groups were 90% (2,565 [2,850 × 90%] kcal/kg) and 80% (2,280 [2,850 × 80%] kcal/kg) of that in control group, and the daily amount of feed was restricted to the absolute quantity of the diet consumed by pullets in control group. At the age of 18 to 72 wk, all the hens were fed with the same diets ad libitum. As energy restriction increased in the growing phase, body weight (BW) dropped at the ages of 12 and 15 to 23 wk (at 23 wk: P = 0.001; at other ages: P < 0.001), but it showed no significant difference at 24 wk (P = 0.071). At 20 wk, restricting energy induced a delay in the development of sexual organs, including the ovary stroma, oviduct, and small yellow follicle (P < 0.05), as well as a delay in sexual maturity (P < 0.05). Consequently, the laying rate in the first and second periods dropped linearly (P = 0.046, 0.030, and 0.038, P < 0.001, respectively). The coefficient of variation (CV) in the BW at 19, 20, and 21 wk (P = 0.040, 0.023, and 0.042, respectively), the CV of age at first egg (P < 0.001), and CV of individual egg number at age 18 to 72 wk (P < 0.001) decreased linearly. There was a linear increase in the laying rate of hens in the later periods (at age 32-72 wk, P < 0.05), as well as in the average total egg number per hen and average laying rate at the age of 18 to 72 wk (P = 0.006). The average egg mass also showed a linear increase with increasing levels of energy restriction (P < 0.001). In summary, although appropriate energy restriction during growing phase delayed sexual maturity and sexual organ development in early-laying Hyline Brown pullets, it improved uniformity of BW, age at first egg laying, and individual egg number, and increased egg number per hen, laying rate, average egg mass, and number of settable eggs from 18 to 72 wk of age.
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Huang G, Wang Q, Tang X. Changes and Relationship in Nutrition Impact Symptoms, Malnutrition during Esophageal Cancer Treatment. Int J Radiat Oncol Biol Phys 2023; 117:e394-e395. [PMID: 37785322 DOI: 10.1016/j.ijrobp.2023.06.1520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The aim of this study was to assess the changes and relationship between nutritional impact symptoms (NIS) and malnutrition incidence during radiotherapy in patients with esophageal cancer. MATERIALS/METHODS A prospective observational study recruited hospitalized patients with esophageal cancer who received radiotherapy or did not receive chemotherapy. 283 patients with esophageal carcinoma were followed up before and during the fourth week of radiotherapy. Nutritional parameters were collected during radiotherapy. RESULTS According to the patient 's assessment of NIS and subjective global assessment (PG-SGA), at the mid-term of radiotherapy, the proportion of patients with NIS≥3 increased from 20.8% to 61.13%. Inappetence (37.1%) and abdominal distension (28.6%) were the most common nutritional symptoms. Severe malnutrition increased from 39% to 58.1%.NIS (odds ratio (OR) 30.93, 95% CI 15.92, 60.10, p <0.001) and weight loss of ≥5% (odds ratio (OR) 24.1, 95% CI 11.98, 48.47, p <0.001) were independently associated with severe malnutrition during radiotherapy. CONCLUSION Strengthen the nutritional support therapy during mid-radiotherapy for esophageal cancer patient, and NIS can directly predict malnutrition.PG-SGA and NIS can be used for nutritional monitoring in esophageal cancer patients.
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Zhang W, Zhang L, Dong Q, Wang X, Li Z, Wang Q. Hsa_circ_0003928 regulates the progression of diabetic nephropathy through miR-136-5p/PAQR3 axis. J Endocrinol Invest 2023; 46:2103-2114. [PMID: 37017919 DOI: 10.1007/s40618-023-02061-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 03/06/2023] [Indexed: 04/06/2023]
Abstract
BACKGROUND Diabetic nephropathy (DN) is one of the complications of diabetes and has a high mortality, but its specific pathogenesis is not clear. In recent years, researches on the mechanism of circRNAs in DN have been proved a lot, whereas the functional mechanism of circ_0003928 in DN remains open and it must be investigated to value its important role in DN prevention. METHODS HK-2 cells were treated with high glucose (HG), normal glucose (NG) or Mannitol. Cell counting kit-8 (CCK8) and 5-ethynyl-2'-deoxyuridine (EdU) assays were performed to detect cell proliferation. Enzyme-linked immunosorbent assay (ELISA) was applied to analyze malondialdehyde (MDA) and superoxide dismutase 1 (SOD) levels. Flow cytometry and western blot were preformed to measure cell apoptosis. Real-time quantitative PCR (RT-qPCR) was used to test the levels of circ_0003928, miR-136-5p and progestin and adipoQ receptor family member 3 (PAQR3) mRNA. Western blot was executed to detect Bcl2 associated X (Bax), B cell leukemia/lymphoma 2 (Bcl2), smooth muscle (αSMA), apolipoprotein (C-IV) and PAQR3 levels. Luciferase reporter assay and RNA pull-down assay were used to analyze the target relationship between miR-136-5p and circ_0003928 or PAQR3. RESULTS Circ_0003928 and PAQR3 expression were up-regulated, whereas miR-136-5p was decreased in DN serum and HG-induced HK-2 cells. Circ_0003928 knockdown promoted cell proliferation, and inhibit cell apoptosis, oxidative stress, and fibrosis in HK-2 cells under HG condition. MiR-136-5p silencing overturned the protective effects of si-circ_0003928 on HG-induced HK-2 cells. MiR-136-5p was targeted by circ_0003928 and directly targeted PAQR3. Overexpression of PAQR3 counteracted the inhibitory functions of circ_0003928 knockdown or miR-136-5p overexpression on HG-induced HK-2 cell injury. CONCLUSION Circ_0003928 acted as a sponge of miR-136-5p to up-regulating PAQR3 expression, and then regulate the proliferation, oxidative stress, fibrosis and apoptosis in HG-induced HK-2 cells.
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Goddard A, Wang Q, Foster C, Perou C, Gupta GP. Tumor-Myeloid Cell Crosstalk Pathways Associated with Abscopal Responses in Breast Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e233. [PMID: 37784931 DOI: 10.1016/j.ijrobp.2023.06.1150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To identify predictive biomarkers for combined radiotherapy (RT) and immune checkpoint inhibitor (ICI) therapy, which can induce systemic anti-tumor immune responses (i.e., "abscopal" responses) in breast cancer. MATERIALS/METHODS Four Trp53-/- Balb/c breast cancer syngeneic allograft models with low tumor mutational burden and resistance to dual ICI (anti-PD1 and anti-CTLA4, BioXcell) were used. Two lines exhibited abscopal responses to RT (8Gyx3) plus ICI combination therapy (i.e., "abscopal models"), whereas the other two did not (i.e., "non-abscopal models"). We performed spatial transcriptomics analysis (GeoMx whole transcriptome assay) of pan-cytokeratin positive (panCK+) tumor and tumor-adjacent CD45+ immune cell segments in orthotopically implanted tumors 10 days after initiating treatment with IgG control, RT alone, ICI alone, or RT/ICI combination (N>5 per group). Genes selectively induced by RT/ICI in panCK+ and CD45+ segments in abscopal models and were not induced in non-abscopal models were identified using two-tailed t-tests and FDR correction for multiple testing (FDR<5%). In vitro analyses of RT-induced secreted inflammatory signaling were conducted by exposing supernatant from irradiated (8Gy) tumor cells to a RAW264.7 macrophage cell line expressing an interferon-inducible luciferase reporter construct, followed by luciferase signal quantification (Invivogen). RESULTS Hierarchical clustering of immune-related genes in CD45+ immune segments from breast cancer models with abscopal responses to RT/ICI revealed global differences in tumor-adjacent immune profiles at baseline and after RT/ICI treatment. Abscopal responsive breast cancer models at baseline showed an enrichment of myeloid cell subtypes expressing complement protein C1q, Ccl8, and Csf1r in tumor-adjacent CD45+ immune cells, and CD8+ T cells expressing Ccl5. 10 days after treatment with RT/ICI, tumor-adjacent CD45+ immune cells in abscopal models were enriched in Cxcl10, Irf7, and FcgRIV, whereas these genes were not induced in non-abscopal models. CyTOF analyses confirmed the induction of inflamed professional antigen presenting cells (CD11c+CD80+IA/IE+) by RT/ICI in abscopal models. Within panCK+ tumor segments, RT/ICI in abscopal models selectively induced Isg15 and Zbp1, both of which are involved in secreted inflammatory signaling. Consistently, RT-induced secreted inflammatory signaling from tumor cells to macrophages evaluated in vitro was significantly greater in abscopal models compared to non-abscopal models. CONCLUSION Breast cancer models with abscopal responses to RT/ICI show increased Isg15- and Zbp1-dependent secreted inflammatory crosstalk that activates Cxcl10 and Irf7 expression in tumor-adjacent myeloid cells, which warrants further investigation as a potential predictive biomarker for combined RT/ICI therapy in breast cancer.
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Wang Y, Zhu J, Guo D, Yan K, Lu L, Wang S, Jin D, Ye X, Wang Q. Deep Learning for Automatic Prediction of Lymph Node Station Metastasis in Esophageal Cancer Patients from Contrast-Enhanced CT. Int J Radiat Oncol Biol Phys 2023; 117:S55. [PMID: 37784523 DOI: 10.1016/j.ijrobp.2023.06.347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The diagnosis of lymph node (LN) metastasis in computed tomography (CT) is an essential yet challenging task in esophageal cancer staging and treatment planning. Although criteria (e.g., RECIST, morphological/texture features) are proposed to predict LN metastasis, the diagnostic accuracy remains low with sensitivity <50% and specificity <75%, as reported in previous studies. Deep learning (DL) has the potential to address this issue by learning from large-scale labeled data. However, due to the practical surgery procedure in lymph node dissection, it is difficult to pair the metastasis of individual LN reported in the pathology report to the LN instance found in the CT image. Hence, in this study, we first use pathology reports to determine the LNS metastasis, then develop a multiple instance deep learning (MIDL) model to predict lymph node station (LNS) metastasis. MATERIALS/METHODS We collected 1200 esophageal cancer patients with preoperative contrast-enhanced CT before surgery. A recently developed automatic mediastinal LNS segmentation model was first applied to segment LNS of 1 to 8 based on the IASLC protocol. For each LNS, the local CT region of interest (ROI) was cropped to generate a station-wise CT patch, where the LNS was labeled as metastatic if at least one metastatic LN was indicated in the pathology report. Using the station-wise CT patch and LNS label, we train a 3D MIDL model, MobileNetV3, to predict LNS metastasis. To better provide the LN position priors in MIDL, LN instances (with a short axis >4mm) were also segmented using an automatic LN detection algorithm and were added to the MIDL model as an auxiliary input. Five-fold cross-validation was conducted to evaluate the MIDL performance. RESULTS The MIDL model's performance is summarized in Table 1. The MIDL model incorporating an additional LN instance mask demonstrated a superior overall AUC of 0.7539, surpassing the model without the LN mask input by 2.93%. The specificity was evaluated at a threshold resulting in a recall of 0.7, and the best model outperformed the CT input model in terms of specificity by 2.11%. This highlights the value of including the LN position prior to the MIDL model. Notably, when a threshold was set to result in a specificity of 75%, the best MIDL model demonstrated a significantly higher recall compared to the previously reported clinical diagnostic recall (39.7% vs. 63.21%). CONCLUSION We developed a MIDL classification model to predict LNS metastasis using CT scans of 1200 patients. Our findings suggest that the MIDL model can substantially improve LNS metastasis prediction and has the potential to play an essential role in cancer staging, treatment planning, and prognostic analysis.
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Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Escalante Del Valle A, Hussain PS, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Kello T, Rejeb Sfar H, Van Mechelen P, Bols ES, D'Hondt J, De Moor A, Delcourt M, El Faham H, Lowette S, Morton A, Müller D, Sahasransu AR, Tavernier S, Van Doninck W, Van Putte S, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Lee K, Mahdavikhorrami M, Makarenko I, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, Dobur D, Knolle J, Lambrecht L, Mestdach G, Rendón C, Samalan A, Skovpen K, Tytgat M, Van Den Bossche N, Vermassen B, Wezenbeek L, Benecke A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Taliercio A, Tran TT, Vischia P, Wertz S, Alves GA, Coelho E, Hensel C, Moraes A, Rebello Teles P, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Dos Santos Sousa V, Fonseca De Souza S, Martins J, Mora Herrera C, Mota Amarilo K, Mundim L, Nogima H, Santoro A, Silva Do Amaral SM, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Thakur S, Cheng T, Javaid T, Mittal M, Yuan L, Ahmad M, Bauer G, Hu Z, Lezki S, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhao J, Agapitos A, An Y, Ban Y, Levin A, Li C, Li Q, Lyu X, Mao Y, Qian SJ, Sun X, Wang D, Xiao J, Yang H, Lu M, You Z, Lu N, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Chitroda BK, Ferencek D, Mishra S, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Abdelalim AA, Salama E, Abdullah Al-Mashad M, Mahmoud MA, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Baldenegro Barrera C, Beaudette F, Buchot Perraguin A, Busson P, Cappati A, Charlot C, Damas F, Davignon O, Diab B, Falmagne G, Fontana Santos Alves BA, Ghosh S, Granier de Cassagnac R, Hakimi A, Harikrishnan B, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Darej D, Goerlach U, Grimault C, Le Bihan AC, Van Hove P, Beauceron S, Blancon B, Boudoul G, Carle A, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Torterotot L, Vander Donckt M, Verdier P, Viret S, Lomidze I, Toriashvili T, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Erdmann M, Fackeldey P, Fasanella D, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mondal S, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Schmidt A, Schuler SC, Sharma A, Stein A, Torres Da Silva De Araujo F, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Hlushchenko O, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Alimena J, Asmuss P, Baxter S, Bayatmakou M, Becerril Gonzalez H, Behnke O, Bhattacharya S, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, Correia Silva G, De Silva M, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Grohsjean A, Guglielmi V, Guthoff M, Jafari A, Jomhari NZ, Kaech B, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Metwally J, Meyer AB, Milella G, Mormile M, Mussgiller A, Nürnberg A, Otarid Y, Pérez Adán D, Ranken E, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Savitskyi M, Scham M, Scheurer V, Schnake S, Schütze P, Schwanenberger C, Shchedrolosiev M, Sosa Ricardo RE, Stafford D, Tonon N, Van De Klundert M, Vazzoler F, Ventura Barroso A, Walsh R, Walter D, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bonanomi M, Connor P, De Leo K, Eich M, El Morabit K, Feindt F, Fröhlich A, Garbers C, Garutti E, Hajheidari M, Haller J, Hinzmann A, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Mehta A, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Pena Rodriguez KJ, Quadfasel T, Rieger M, Rieger O, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gosewisch JO, Gottmann A, Hartmann F, Horzela M, Husemann U, Klute M, Koppenhöfer R, Link M, Lintuluoto A, Maier S, Mitra S, Müller T, Neukum M, Oh M, Quast G, Rabbertz K, Rauser J, Shvetsov I, Simonis HJ, Trevisani N, Ulrich R, van der Linden J, Von Cube RF, Wassmer M, Wieland S, Wolf R, Wozniewski S, Wunsch S, Zuo X, Anagnostou G, Assiouras P, Daskalakis G, Kyriakis A, Stakia A, Diamantopoulou M, Karasavvas D, Kontaxakis P, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, Manthos N, Papadopoulos I, Strologas J, Csanád M, Farkas K, Gadallah MMA, Lökös S, Major P, Mandal K, Pásztor G, Rádl AJ, Surányi O, Veres GI, Bartók M, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Beni N, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Ujvari B, Zilizi G, Csorgo T, Nemes F, Novak T, Babbar J, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur A, Kaur H, Kaur M, Kumar S, Kumari P, Meena M, Sandeep K, Sheokand T, Singh JB, Singla A, Ahmed A, Bhardwaj A, Chhetri A, Choudhary BC, Kumar A, Naimuddin M, Ranjan K, Saumya S, Baradia S, Barman S, Bhattacharya S, Bhowmik D, Dutta S, Dutta S, Gomber B, Maity M, Palit P, Saha G, Sahu B, Sarkar S, Behera PK, Behera SC, Chatterjee S, Kalbhor P, Komaragiri JR, Kumar D, Muhammad A, Panwar L, Pradhan R, Pujahari PR, Saha NR, Sharma A, Sikdar AK, Verma S, Naskar K, Aziz T, Das I, Dugad S, Kumar M, Mohanty GB, Suryadevara P, Banerjee S, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, 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Siroli GP, Costa S, Di Mattia A, Potenza R, Tricomi A, Tuve C, Barbagli G, Bardelli G, Camaiani B, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D'Alessandro R, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Bozzo M, Chatagnon P, Ferro F, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Pedrini D, Pinolini BS, Ragazzi S, Redaelli N, Tabarelli de Fatis T, Zuolo D, Buontempo S, Carnevali F, Cavallo N, De Iorio A, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Rossi B, Sciacca C, Azzi P, Bacchetta N, Bisello D, Bortignon P, Bragagnolo A, Carlin R, Checchia P, Dorigo T, Gasparini F, Gasparini U, Grosso G, Gulmini M, Layer L, Lusiani E, Margoni M, Meneguzzo AT, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Yarar H, Zanetti M, Zotto P, Zucchetta A, Abu Zeid S, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Asenov P, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Presilla M, Rossi A, Santocchia A, Spiga D, Tedeschi T, Azzurri P, Bagliesi G, Bertacchi V, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, D'Amante V, Dell'Orso R, Donato S, Giassi A, Ligabue F, Matos Figueiredo D, Messineo A, Musich M, Palla F, Parolia S, Ramirez-Sanchez G, Rizzi A, Rolandi G, Roy Chowdhury S, Sarkar T, Scribano A, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Barria P, Campana M, Cavallari F, Del Re D, Di Marco E, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, 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Seidel M, Veckalns V, Ambrozas M, Carvalho Antunes De Oliveira A, Juodagalvis A, Rinkevicius A, Tamulaitis G, Bin Norjoharuddeen N, Hoh SY, Yusuff I, Zolkapli Z, Benitez JF, Castaneda Hernandez A, Encinas Acosta HA, Gallegos Maríñez LG, León Coello M, Murillo Quijada JA, Sehrawat A, Valencia Palomo L, Ayala G, Castilla-Valdez H, Heredia-De La Cruz I, Lopez-Fernandez R, Mondragon Herrera CA, Perez Navarro DA, Sánchez Hernández A, Oropeza Barrera C, Vazquez Valencia F, Pedraza I, Salazar Ibarguen HA, Uribe Estrada C, Bubanja I, Mijuskovic J, Raicevic N, Ahmad A, Asghar MI, Awais A, Awan MIM, Gul M, Hoorani HR, Khan WA, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Araujo M, Bargassa P, Bastos D, Boletti A, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Pisano M, Seixas J, Varela J, Adzic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Alcaraz Maestre J, Barrio Luna M, Bedoya CF, Cepeda M, Cerrada M, Colino N, De La Cruz B, Delgado Peris A, Fernández Del Val D, Fernández Ramos JP, Flix J, Fouz MC, Gonzalez Lopez O, Goy Lopez S, Hernandez JM, Josa MI, León Holgado J, Moran D, Perez Dengra C, Pérez-Calero Yzquierdo A, Puerta Pelayo J, Redondo I, Redondo Ferrero DD, Romero L, Sánchez Navas S, Sastre J, Urda Gómez L, Vazquez Escobar J, Willmott C, de Trocóniz JF, Alvarez Gonzalez B, Cuevas J, Fernandez Menendez J, Folgueras S, Gonzalez Caballero I, González Fernández JR, Palencia Cortezon E, Ramón Álvarez C, Rodríguez Bouza V, Soto Rodríguez A, Trapote A, Vico Villalba C, Brochero Cifuentes JA, Cabrillo IJ, Calderon A, Duarte Campderros J, Fernandez M, Fernandez Madrazo C, García Alonso A, Gomez G, Lasaosa García C, Martinez Rivero C, Martinez Ruiz Del Arbol P, Matorras F, Matorras Cuevas P, Piedra Gomez J, Prieels C, Scodellaro L, Vila I, Vizan Garcia JM, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Abbaneo D, Auffray E, Auzinger G, Baechler J, Baillon P, Barney D, Bendavid J, Bermúdez Martínez A, Bianco M, Bilin B, Bin Anuar AA, Bocci A, Brondolin E, Caillol C, Camporesi T, Cerminara G, Chernyavskaya N, Chhibra SS, Choudhury S, Cipriani M, d'Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Dünser M, Dupont N, Fallavollita F, Florent A, Forthomme L, Franzoni G, Funk W, Ghosh S, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Govorkova E, Haranko M, Hegeman J, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Kratochwil N, Laurila S, Lecoq P, Leutgeb E, Lourenço C, Maier B, Malgeri L, Mannelli M, Marini AC, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Orfanelli S, Orsini L, Pantaleo F, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Pitt M, Qu H, Quast T, Rabady D, Racz A, Reales Gutiérrez G, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Selvaggi M, Sharma A, Silva P, Sphicas P, Stahl Leiton AG, Summers S, Tatar K, Treille D, Tropea P, Tsirou A, Wanczyk J, Wozniak KA, Zeuner WD, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Lange C, Missiroli M, Noehte L, Rohe T, Aarrestad TK, Androsov K, Backhaus M, Calandri A, Datta K, De Cosa A, Dissertori G, Dittmar M, Donegà M, Eble F, Galli M, Gedia K, Glessgen F, Gómez Espinosa TA, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchese L, Martin Perez C, Mascellani A, Nessi-Tedaldi F, Niedziela J, Pauss F, Perovic V, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Riti F, Ruini D, Sanz Becerra DA, Seidita R, Steggemann J, Valsecchi D, Wallny R, Amsler C, Bärtschi P, Botta C, Brzhechko D, Canelli MF, Cormier K, De Wit A, Del Burgo R, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Reimers A, Robmann P, Sanchez Cruz S, Schweiger K, Senger M, Takahashi Y, Adloff C, Kuo CM, Lin W, Rout PK, Tiwari PC, Yu SS, Ceard L, Chao Y, Chen KF, Chen PS, Cheng H, Hou WS, Khurana R, Kole G, Li YY, Lu RS, Paganis E, Psallidas A, Steen A, Wu HY, Yazgan E, Asawatangtrakuldee C, Srimanobhas N, Wachirapusitanand V, Agyel D, Boran F, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Gurpinar Guler E, Isik C, Kara O, Kayis Topaksu A, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Uslan E, Zorbakir IS, Karapinar G, Ocalan K, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Tekten S, Cakir A, Cankocak K, Komurcu Y, Sen S, Aydilek O, Cerci S, Hacisahinoglu B, Hos I, Isildak B, Kaynak B, Ozkorucuklu S, Simsek C, Sunar Cerci D, Grynyov B, Levchuk L, Anthony D, Brooke JJ, Bundock A, Clement E, Cussans D, Flacher H, Glowacki M, Goldstein J, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Seif El Nasr-Storey S, Smith VJ, Stylianou N, Walkingshaw Pass K, White R, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Jain S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Brown CE, Buchmuller O, Cacchio V, Carrillo Montoya CA, Cepaitis V, Chahal GS, Colling D, Dancu JS, Dauncey P, Davies G, Davies J, Della Negra M, Fayer S, Fedi G, Hall G, Hassanshahi MH, Howard A, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Mieskolainen M, Monk DG, Nash J, Pesaresi M, Radburn-Smith BC, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shukla R, Tapper A, Uchida K, Uttley GP, Vage LH, Virdee T, Vojinovic M, Wardle N, Webb SN, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, McMaster B, Saunders M, Sawant S, Sutantawibul C, Toms M, Wilson J, Bartek R, Dominguez A, Huerta Escamilla C, Uniyal R, Vargas Hernandez AM, Chudasama R, Cooper SI, Di Croce D, Gleyzer SV, Henderson C, Perez CU, Rumerio P, Usai E, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fontanesi E, Gastler D, May S, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Benelli G, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Narain M, Pervan N, Sagir S, Simpson F, Wong WY, Yan X, Yu D, Zhang W, Abbott S, Bonilla J, Brainerd C, Breedon R, Calderon De La Barca Sanchez M, Chertok M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Regnery B, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Nash WA, Saltzberg D, Stone B, Valuev V, Clare R, Gary JW, Gordon M, Hanson G, Long OR, Manganelli N, Si W, Wimpenny S, Branson JG, Cittolin S, Cooperstein S, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Quinnan M, Sathia Narayanan BV, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Amin N, Campagnari C, Citron M, Collura G, Dorsett A, Incandela J, Kilpatrick M, Kim J, Li AJ, Masterson P, Mei H, Oshiro M, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Siddireddy P, Stuart D, Wang S, Bornheim A, Cerri O, Dutta I, Latorre A, Lawhorn JM, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Dutta V, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Marini F, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Gadkari D, Hogan S, Monroy J, Patterson JR, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Di Petrillo KF, Dickinson J, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grünendahl S, Guerrero D, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Norberg S, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Reinsvold Hall A, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Zoi I, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Kuznetsova E, Lo KH, Matchev K, Menendez N, Mitselmakher G, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Adams T, Askew A, Bower N, Habibullah R, Hagopian V, Kolberg T, Martinez G, Prosper H, Viazlo O, Wulansatiti M, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yumiceva F, Adams MR, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Lemos DS, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Duric S, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Roy D, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Bethani A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Wang L, Wong K, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Kovalskyi D, Krupa J, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Chatterjee RM, Crossman B, Hiltbrand J, Joshi BM, Kapsiak C, Krohn M, Kubota Y, Mahon D, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kamalieddin R, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Goldouzian R, Hildreth M, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Dildick S, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Yang S, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parygin P, Popova E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Holmes T, Nibigira E, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Ovtin I, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Measurement of the Dependence of the Hadron Production Fraction Ratios f_{s}/f_{u} and f_{d}/f_{u} on B Meson Kinematic Variables in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2023; 131:121901. [PMID: 37802954 DOI: 10.1103/physrevlett.131.121901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/27/2023] [Accepted: 06/20/2023] [Indexed: 10/08/2023]
Abstract
The dependence of the ratio between the B_{s}^{0} and B^{+} hadron production fractions, f_{s}/f_{u}, on the transverse momentum (p_{T}) and rapidity of the B mesons is studied using the decay channels B_{s}^{0}→J/ψϕ and B^{+}→J/ψK^{+}. The analysis uses a data sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 61.6 fb^{-1}. The f_{s}/f_{u} ratio is observed to depend on the B p_{T} and to be consistent with becoming asymptotically constant at large p_{T}. No rapidity dependence is observed. The ratio of the B^{0} to B^{+} meson production fractions, f_{d}/f_{u}, is also measured, for the first time in proton-proton collisions, using the B^{0}→J/ψK^{*0} decay channel. The result is found to be within 1 standard deviation of unity and independent of p_{T} and rapidity, as expected from isospin invariance.
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Liu J, Cao Y, Wang Q, Wang Z, Luan X. Prevalence and influencing factors of frailty in older patients with diabetes in China: a system review and meta-analysis. Front Med (Lausanne) 2023; 10:1199203. [PMID: 37809331 PMCID: PMC10551624 DOI: 10.3389/fmed.2023.1199203] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/07/2023] [Indexed: 10/10/2023] Open
Abstract
Background and aims To systematically evaluate the relevant literature to explore the prevalence and influencing factors of frailty in older patients with diabetes in China. Methods Cochrane Library, PubMed, Embase, Medline, CINAHL, Scopus, Proquest Central, Web of Science, SinoMed, CNKI, VIP and Wan fang Databases were searched to collect Chinese and English literatures about frailty in older diabetic patients. RevMan 5.4 software was used to extract data for systematic review. Results Seventeen studies involving 23,070 older patients with diabetes were included. The results showed that the prevalence of frailty in older Chinese diabetic patients was 30%. The main influencing factors were HbA1c level, number of complications, age, depression, exercise, and nutritional status. Conclusion The prevalence of frailty in Chinese elderly diabetic patients is high and there are many influencing factors. However, the quality of relevant literature is general and the number is limited, so high-quality prospective studies should be carried out in the future to further verify the conclusions.
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Wang Q, Liu LP, Zhu K, Wang ZH, Zhang M, Bu N. [Investigation and analysis of occupational hazard factors in different industries in Tongliao City]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2023; 41:659-663. [PMID: 37805424 DOI: 10.3760/cma.j.cn121094-20220524-00276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Abstract
Objective: To investigate the occupational hazard factors of different industries in Tongliao City, and to provide scientific basis for the prevention and control of occupational disease in Tongliao City. Methods: In July 2021, the detection data of coal dust, silica dust, cement dust, benzene, noise and other occupational hazard factors, as well as the occupational health examination data of workers in various positions of 104 enterprises in different industries in Tongliao City were cllected and anylazed. χ(2) test was used to analyze the results of chest radiography of workers in different age groups. Results: A total of 104 enterprises were investigated, and the median time-weighted average concentration (C(TWA)) of coal dust, silic a dust, cement dust and benzene in contact with test posts were 0.94, 0.30, 0.70 and 0.95 mg/m(3), respectively. The median 8 h equivalent sound level (L(EX, 8 h)) of noise was 74.1 dB (A) . The over standard rates of silica dust, cement dust and noise contact positions were 10.83% (16/240) , 7.14% (2/28) and 0.48% (3/628) , respectively. The differences of chest X-ray examination of coal dust and silica dust workers in different working ages were statistically significant (χ(2)=218.50, 531.80, P<0.001) . The difference of hearing threshold of noise workers with different working age was statistically significant (χ(2)=1290.00, P<0.001) . The rates of leukopenia and neutropenia were 41.90% (44/105) and 20.95% (22/105) in benzene exposed workers. The positive rate of brucella exposure workers was 1.33% (1/75) for tiger red plate agglutination test and 3.23% (3/93) for tube agglutination test. Conclusion: Silica dust, cement dust and noise exceed the standard in some posts and places in the Tongliao City, and some workers are infected with Brucella. In the future, we can focus on monitoring noise-generating posts, strengthen supervision and implement prevention and control measures to reduce the incidence of occupational diseases.
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Zuo DD, Chang J, Wang Q, Wang HP. Thermophysical properties and atomic structure of liquid Zr-Nb alloys investigated by electrostatic levitation and molecular dynamics simulation. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2023; 35:505903. [PMID: 37724485 DOI: 10.1088/1361-648x/acf5bc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/31/2023] [Indexed: 09/20/2023]
Abstract
The investigation of the thermophysical properties of liquid Zr-Nb alloys holds great significance for theoretical research and technical application in liquid physics. However, the high temperatures involved make their experimental measurement challenging. In this study, the densities of liquid Zr-xwt.% Nb (x= 1.0, 2.5, 6.0) alloys were examined by electrostatic levitation and molecular dynamics calculation. Remarkably, the alloys achieved maximum undercooling of 335 K, 311 K and 326 K, respectively. Correspondingly, the densities are 6.20, 6.22 and 6.26 g·cm-3at the liquidus temperatures (TL), respectively. The corresponding temperature coefficients are 2.61 × 10-4, 2.75 × 10-4and 2.84 × 10-4g·cm-3·K-1, respectively. Notably, the experimental density results align well with the simulated results. Moreover, the molar volume (Vm), thermal expansion coefficient (α) and diffusion coefficient (D) were derived based on the experimental data and simulations. The thermal expansion coefficients reduce linearly with decreasing temperature. The analysis of the pair distribution function, coordination number (CN) and the radial distribution function reveals the temperature-dependent evolution of the atomic structure. TheCNtotalandCNZr-Zrinitially increase and then decrease with decreasing temperature, while the change trends forCNZr-NbandCNNb-Nbvaried among the three alloys. The radial distribution function of three liquid alloys reveals that the atomic number density increases as the temperature drops. Additionally, the total diffusion coefficients decrease with the reduction of temperature and the rise of Nb content from 1.0 wt.% Nb to 6.0 wt.% Nb.
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Yang Y, Li H, Liu P, Zhang X, Wang Q, Li H, Cui N, Tian X, Long Y, He H, Su L. Emergence of hybrid airway neutrophils with increased mitochondrial metabolism and low inflammatory response in neutrophilic asthma: evidence supporting targeting inhibition of neutrophil glycolysis in this asthma sub-group. QJM 2023; 116:702-704. [PMID: 37184923 DOI: 10.1093/qjmed/hcad090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/07/2023] [Indexed: 05/16/2023] Open
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Cheng XQ, Zhang XH, Wang Q, Jin WM, Yin Z, Zhao JZ. [Knowledge, attitude and practice about first aid and influencing factors in key populations in Beijing: a large cross-sectional study]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2023; 44:1408-1413. [PMID: 37743274 DOI: 10.3760/cma.j.cn112338-20230119-00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Objective: To investigate the status of knowledge, attitude and practice about first aid and influencing factors in key population, those who have frequent contacts with people and might be "first aid" promoter in general population of Beijing, and provide evidences for the promotion of first aid. Methods: This study was a cross-sectional survey based on the "Emergency Rescue Capacity Training Project". Using cluster sampling, we recruited 9 591 participants after the training in Beijing for survey with a self-designed questionnaire from October 2021 to March 2022. Results: In 9 591 participants, 98.58% knew the emergency call number, while only 32.00% knew how to identify sunstroke. The awareness rate of the definition of first aid and legal disclaimer were lower (63.61%, 75.91%). People's willingness to give first aid to others, including relative, acquaintance, stranger and vagrant, were different (χ2=822.82, P<0.001). People were more likely to give first aid to relative, acquaintance and stranger compared with vagrant (P<0.05). With the increase of psychological distance, the willingness to give first aid decreased (Z=-26.57, P<0.001). According to the results of Logistic regression analysis, older age, higher annual family income and higher awareness of first aid related knowledge were contributing factors for giving first aid. In 1 529 people who met emergency, only 66 people (4.32%)did not give any first aid. Conclusions: The key population in Beijing has high awareness of first aid related knowledge and positive attitude of first aid after training. A high proportion of people performed first aid to others. Age, annual family income and awareness of first aid related knowledge were contributing factors for giving first aid.
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Search for Exotic Higgs Boson Decays H→AA→4γ with Events Containing Two Merged Diphotons in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2023; 131:101801. [PMID: 37739361 DOI: 10.1103/physrevlett.131.101801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 01/19/2023] [Indexed: 09/24/2023]
Abstract
We present the first direct search for exotic Higgs boson decays H→AA, A→γγ in events with two photonlike objects. The hypothetical particle A is a low-mass spin-0 particle decaying promptly to a merged diphoton reconstructed as a single photonlike object. We analyze the data collected by the CMS experiment at sqrt[s]=13 TeV corresponding to an integrated luminosity of 136 fb^{-1}. No excess above the estimated background is found. We set upper limits on the branching fraction B(H→AA→4γ) of (0.9-3.3)×10^{-3} at 95% confidence level for masses of A in the range 0.1-1.2 GeV.
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Terkulov A, Teryaev O, Tlisova I, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of Same-Sign WW Production from Double Parton Scattering in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2023; 131:091803. [PMID: 37721845 DOI: 10.1103/physrevlett.131.091803] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/18/2022] [Indexed: 09/20/2023]
Abstract
The first observation of the production of W^{±}W^{±} bosons from double parton scattering processes using same-sign electron-muon and dimuon events in proton-proton collisions is reported. The data sample corresponds to an integrated luminosity of 138 fb^{-1} recorded at a center-of-mass energy of 13 TeV using the CMS detector at the CERN LHC. Multivariate discriminants are used to distinguish the signal process from the main backgrounds. A binned maximum likelihood fit is performed to extract the signal cross section. The measured cross section for production of same-sign W bosons decaying leptonically is 80.7±11.2(stat) _{-8.6}^{+9.5}(syst)±12.1(model) fb, whereas the measured fiducial cross section is 6.28±0.81(stat)±0.69(syst)±0.37(model) fb. The observed significance of the signal is 6.2 standard deviations above the background-only hypothesis.
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VJ, Stylianou N, Walkingshaw Pass K, White R, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Holmberg ML, Jain S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Brown CE, Buchmuller O, Cacchio V, Carrillo Montoya CA, Chahal GS, Colling D, Dancu JS, Dauncey P, Davies G, Davies J, Della Negra M, Fayer S, Fedi G, Hall G, Hassanshahi MH, Howard A, Iles G, Knight M, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Mieskolainen M, Nash J, Pesaresi M, Radburn-Smith BC, Richards A, Rose A, Seez C, Shukla R, Tapper A, Uchida K, Uttley GP, Vage LH, Virdee T, Vojinovic M, Wardle N, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Abdullin S, Brinkerhoff A, Caraway B, Dittmann J, Hatakeyama K, Hiltbrand J, Kanuganti AR, McMaster B, Saunders M, Sawant S, Sutantawibul C, Toms M, Wilson J, Bartek R, Dominguez A, Huerta Escamilla C, Simsek AE, Uniyal R, Vargas Hernandez AM, Chudasama R, Cooper SI, Gleyzer SV, Perez CU, Rumerio P, Usai E, West C, Yi R, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fontanesi E, Gastler D, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Benelli G, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Mondal S, Narain M, Pervan N, Sagir S, Simpson F, Wong WY, Yan X, Zhang W, Abbott S, Bonilla J, Brainerd C, Breedon R, Calderon De La Barca Sanchez M, Chertok M, Citron M, Conway J, Cox PT, Erbacher R, Haza G, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Regnery B, Wei W, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Nash WA, Saltzberg D, Stone B, Valuev V, Clare R, Gordon M, Hanson G, Si W, Wimpenny S, Branson JG, Cittolin S, Cooperstein S, Diaz D, Duarte J, Gerosa R, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Pieri M, Quinnan M, Sathia Narayanan BV, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Brennan L, Campagnari C, Collura G, Dorsett A, Incandela J, Kilpatrick M, Kim J, Li AJ, Masterson P, Mei H, Oshiro M, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Stuart D, Wang S, Bornheim A, Cerri O, Latorre A, Lawhorn JM, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Dutta V, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Manganelli N, Marini F, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Gadkari D, Hogan S, Monroy J, Patterson JR, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Amram O, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cummings G, Dickinson J, Dutta I, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grünendahl S, Guerrero D, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Reinsvold Hall A, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Stoynev S, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Zoi I, Aruta C, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Adams T, Al Kadhim A, Askew A, Bower N, Habibullah R, Hagopian V, Hashmi R, Kim RS, Kim S, Kolberg T, Martinez G, Prosper H, Prova PR, Viazlo O, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yumiceva F, Adams MR, Bennett C, Cavanaugh R, Dittmer S, Escobar Franco R, Evdokimov O, Gerber CE, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Blend D, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roguljic M, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Nam K, Natoli J, Roy D, Sorrentino G, Adams E, Baden A, Baron O, Belloni A, Bethani A, Chen YM, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Paranjpe MM, Wang L, Wong K, Bendavid J, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Rothman S, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Crossman B, Joshi BM, Kapsiak C, Krohn M, Mahon D, Mans J, Pandey S, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Golf F, Hossain J, Joo C, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Yu D, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Rejeb Sfar H, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wang B, Wood D, Bhattacharya S, Bueghly J, Chen Z, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Band R, Bucci R, Castells S, Cremonesi M, Das A, Goldouzian R, Hildreth M, Ho KW, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Nelson H, Osherson M, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Das S, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Baty A, Carnahan T, Dildick S, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Miguel Colin O, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parygin P, Popova E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Holmes T, Karunarathna N, Lee L, Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Dalchenko M, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Hussain A, Kazhykarim Y, Lamichhane K, Lee SW, Mankel A, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of the Rare Decay of the η Meson to Four Muons. PHYSICAL REVIEW LETTERS 2023; 131:091903. [PMID: 37721839 DOI: 10.1103/physrevlett.131.091903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 06/14/2023] [Indexed: 09/20/2023]
Abstract
A search for the rare η→μ^{+}μ^{-}μ^{+}μ^{-} double-Dalitz decay is performed using a sample of proton-proton collisions, collected by the CMS experiment at the CERN LHC with high-rate muon triggers during 2017 and 2018 and corresponding to an integrated luminosity of 101 fb^{-1}. A signal having a statistical significance well in excess of 5 standard deviations is observed. Using the η→μ^{+}μ^{-} decay as normalization, the branching fraction B(η→μ^{+}μ^{-}μ^{+}μ^{-})=[5.0±0.8(stat)±0.7(syst)±0.7(B_{2μ})]×10^{-9} is measured, where the last term is the uncertainty in the normalization channel branching fraction. This work achieves an improved precision of over 5 orders of magnitude compared to previous results, leading to the first measurement of this branching fraction, which is found to agree with theoretical predictions.
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Chen MG, Zhao ML, Fu HL, Mao M, Wang Q, Guo RX. [Evaluation of the efficacy of GnRH-a pretreatment before total hysterectomy for adenomyosis patients: a propensity score matching analysis]. ZHONGHUA FU CHAN KE ZA ZHI 2023; 58:589-594. [PMID: 37599256 DOI: 10.3760/cma.j.cn112141-20230607-00257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objective: To evaluate the efficacy of gonadotropin-releasing hormone agonist (GnRH-a) pretreatment before total hysterectomy for adenomyosis patients with uterine volume ≥12 gestational weeks and moderate or severe anemia. Methods: From January 2018 to March 2023, 689 patients who underwent total hysterectomy for adenomyosis in the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. According to the preoperative medication, they were divided into study group (127 cases) and control group (562 cases). Patients in the study group underwent GnRH-a pretreatment for 3 cycles before surgery, and the control group received operation directly. SPSS 26.0 software was used to perform 1∶1 matching for the two groups of patients through the propensity score matching method. Matching variables included age, body mass index, gravidity, parity, history of pelvic and abdominal surgery, menstrual cycle, menstrual period, dysmenorrhea score, initial diagnosis of cancer antigen 125 (CA125), uterine volume and hemoglobin value. The dysmenorrhea score, uterine volume, hemoglobin value and CA125 level before and after GnRH-a pretreatment in the study group were compared. And the duration of operation, intraoperative blood loss, postoperative white blood cell count, perioperative blood transfusion cases, postoperative disease rate, duration of hospitalization, total hospitalization cost between the two groups were compared. Results: With propensity score matching, 119 patients in the study group and 119 patients in the control group were finally enrolled in this study. In the study group, before and after the treatment with GnRH-a, the dysmenorrhea score (7.4±1.7 vs 5.6±1.8), uterine volume [(362±160) vs (233±126) cm3], hemoglobin value [(74.1±10.7) vs (102.5±13.5) g/L], and CA125 level [(104±76) vs (64±51) kU/L] were statistically different (all P<0.05). There were statistical differences of operation time [(86±18) vs (116±31) minutes], intraoperative blood loss [(24±9) vs (43±22) ml], white blood cell count after 1 day of operation [(9.80±0.10)×109/L vs (9.90±0.10)×109/L], number of perioperative blood transfusion case [5.9% (7/119) vs 61.3% (73/119)], postoperative disease rate [5.0% (6/119) vs 16.0% (19/119)], hospitalization duration [(7.1±1.6) vs (7.9±1.6) days], and total hospitalization cost [(35 323±5 275) vs (37 159±5 640) yuan] between the study group and the control group (all P<0.05). Conclusion: The pretreatment of using GnRH-a before total hysterectomy for adenomyosis patients with uterine volume ≥12 gestational weeks and moderate or severe anemia is not only conducive to improving dysmenorrhea, signs of anemia, reducing uterine volume, but also conducive to the implementation of surgery, reducing intraoperative and postoperative complications, and reducing hospital costs.
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S, Monroy J, Patterson JR, Quach D, Reichert J, Reid M, Ryd A, Sun W, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Petrillo KFD, Elvira VD, Feng Y, Freeman J, Gecse Z, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, O’Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Hall AR, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Rotter J, Shi K, Sturdy J, Wang J, Yigitbasi E, Zuo X, Adams T, Askew A, Habibullah R, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Noonan D, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Ye Z, Alhusseini M, Dilsiz K, Emediato L, Gandrajula RP, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Eminizer M, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Swartz M, Vámi T, Abreu A, Anguiano J, Barrera CB, Baringer P, Bean A, Bylinkin A, Flowers Z, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lazarovits M, Mahieu CL, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Schmitz E, Smith C, Takaki JDT, Wang Q, Warner Z, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lascio S, Mignerey AC, Nabili S, Palmer C, Seidel M, Skuja A, Wang L, Wong K, Abercrombie D, Andreassi G, Bi R, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Hiltbrand J, Jain S, Krohn M, Kubota Y, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Bloom K, Bryson M, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kravchenko I, Musich M, Reed I, Siado JE, Snow GR, Tabb W, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Wightman A, Zarucki M, Zygala L, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bonham B, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Marlow D, Mei K, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Norberg S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Karmarkar S, Kondratyev D, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Baty A, Carnahan T, Decaro M, Dildick S, Ecklund KM, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Shi W, Leiton AGS, Yang S, Zhang L, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Lara CEP, Tannenwald B, White S, Wolfe E, Poudyal N, Black K, Bose T, Caillol C, Dasu S, De Bruyn I, Everaerts P, Fienga F, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bychkova O, Chadeeva M, Chekhovsky V, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Oskin A, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Petrushanko S, Pivovarov G, Popov V, Popova E, Radchenko O, Rusinov V, Savina M, Savrin V, Seitova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov I, Smirnov V, Snigirev A, Sosnov D, Stepennov A, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Measurements of jet multiplicity and jet transverse momentum in multijet events in proton-proton collisions at s=13TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023; 83:742. [PMID: 37623740 PMCID: PMC10444701 DOI: 10.1140/epjc/s10052-023-11753-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 06/24/2023] [Indexed: 08/26/2023]
Abstract
Multijet events at large transverse momentum (p T ) are measured at s = 13 Te V using data recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 36.3 fb - 1 . The multiplicity of jets with p T > 50 Ge V that are produced in association with a high-p T dijet system is measured in various ranges of the p T of the jet with the highest transverse momentum and as a function of the azimuthal angle difference Δ ϕ 1 , 2 between the two highest p T jets in the dijet system. The differential production cross sections are measured as a function of the transverse momenta of the four highest p T jets. The measurements are compared with leading and next-to-leading order matrix element calculations supplemented with simulations of parton shower, hadronization, and multiparton interactions. In addition, the measurements are compared with next-to-leading order matrix element calculations combined with transverse-momentum dependent parton densities and transverse-momentum dependent parton shower.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Individual
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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