Mapping the Global distribution, risk factors, and temporal trends of COPD incidence and mortality (1990–2021): ecological analysis by Shafaq Naeem, Fang Wang, Rabia Mubarak, Hui Shen, Xuechun Li, Irene Mommers, Syeda Rija Hussain, Saima Shakil Malik, Chuanhua Yu, Eelko Hak, Xiaolin Xu, Muhammad Fawad, Sumaira Mubarik

“…Methods Utilizing data from the Global Burden of Disease (GBD) study, this research conducted a comprehensive ecological analysis of COPD epidemiology from 1990 to 2021. …”
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Effect of liver biopsy size on MASLD fibrosis assessment by second-harmonic generation/two-photon excitation fluorescence microscopy by Daniel T. Field, Yayun Ren, Kutbuddin Akbary, Elaine Chng, Dean Tai, Nikolai V. Naoumov, David E. Kleiner, Jonathan A. Fallowfield, Timothy J. Kendall, Arun J. Sanyal

“…Second-harmonic generation/two-photon excitation fluorescence (SHG/TPEF) microscopy images unstained tissue sections and, when integrated with artificial intelligence models, generates a continuous fibrosis value (qFibrosis) and ordinal qFibrosis stage. …”
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Identification and validation of reference genes for qPCR of Pseudomonas aeruginosa L10 under varying n-hexadecane concentrations by Huan Wang, Xiaobing Wang, Juntao Chen, Yumiao Zhang, Junhua Liu, Fangliang Xia, Jian Li, Tao Wu, Longxiang Liu

“…RefFinder provides a comprehensive assessment of reference gene stability by integrating four methods. The results indicated that among the reference genes of P. aeruginosa L10 cultured under various concentrations of n-hexadecane stress, anr had the highest Ct value and expression abundance, while tipA had the lowest. …”
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Examining the social distributions in neighbourhood black carbon and ultrafine particles in Montreal and Toronto, Canada by Emmanuelle Batisse, Marshall Lloyd, Alicia Cavanaugh, Arman Ganji, Junshi Xu, Marianne Hatzopoulou, Jill Baumgartner, Scott Weichenthal

“…Final exposure surfaces were generated by integrating predictions from land-use regression models and deep convolutional neural network models. …”
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Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort by Tahzeeb Fatima, Yuan Zhang, Georgios K. Vasileiadis, Araz Rawshani, Ronald van Vollenhoven, Jon Lampa, Bjorn Gudbjornsson, Espen A. Haavardsholm, Dan Nordström, Gerdur Gröndal, Kim Hørslev-Petersen, Kristina Lend, Marte S. Heiberg, Merete Lund Hetland, Michael Nurmohamed, Mikkel Østergaard, Till Uhlig, Tuulikki Sokka-Isler, Anna Rudin, Cristina Maglio

“…Metabolomics may help to identify such biomarkers as it allows for a comprehensive exploration of disease-related variations that extends beyond the genome and proteome. …”
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Factors associated with clinical antimicrobial resistance in China: a nationwide analysis by Wenyong Zhou, Zexuan Wen, Wenlong Zhu, Jiali Gu, Jing Wei, Haiyan Xiong, Weibing Wang

“…Despite improvements in decreasing AMR, future initiatives should consider integrated strategies to control PM2.5 and other factors simultaneously to decrease AMR. …”
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Global, regional, and national burden of osteoarthritis from 1990 to 2021 and projections to 2035: A cross-sectional study for the Global Burden of Disease Study 2021. by Xiaoming Xie, Kuayue Zhang, Yuan Li, Yulong Li, Xinyi Li, Yi Lin, Liangqing Huang, Guihua Tian

“…Final prevalence estimates were multiplied by disability weights to calculate years lived with disability (YLD). An Autoregressive Integrated Moving Average (ARIMA) model was used to forecast the prevalence and incidence of OA through 2035.…”
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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

“…This study proposes ResNet-MSIS, a novel hybrid framework that integrates prior knowledge from the empirical NRLMSIS-2.1 model into a residual network (ResNet) architecture. …”
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Alterations of static and dynamic changes in intrinsic brain activity and its relation to behavioral outcomes in subcortical ischemic stroke after one-month intervention by Yongxin Li, Jianping Wang, Maohua Yao, Yun Ran

“…In combination, this study demonstrates that a comprehensive understanding of abnormal activity and its longitudinal changes in ischemic stroke can be achieved by integrating static and dynamic imaging methods. Regions showing significant overlap among different brain activity indicators and exhibiting consistent image-behavior relationships may have some potential values for predicting clinical outcomes.…”
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Trend of thyroid cancer incidence in China, 1992-2021: a Joinpoint regression and age-period-cohort analysis by XIONG Dan, SU Xiaojun, FANG Yanmei

“…Auto regressive integrated moving average (ARIMA) model was applied to predict the incidence of thyroid cancer in China in the next 20 years. …”
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Species Diversity, Biomass Production and Carbon Sequestration Potential in the Protected Area of Uttarakhand, India by Geetanjali Upadhyay, Lalit M. Tewari, Ashish Tewari, Naveen Chandra Pandey, Sheetal Koranga, Zishan Ahmad Wani, Geeta Tewari, Ravi K. Chaturvedi

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The clinical aspects ot the sulphonylurea compounds from the position of the cardioprotective approach at patient with type 2 diabetes, using glucocardiomonitoring by N. A. Chernikova, L. L. Kamynina, A. S. Аmetov, D. A. Sychov

“…Meanwhile the synchronized glucocardiomonitoring allowed to providing the accurate information about the cardiometabolic status of patients with T2DM.AIMS: Using the professional glucocardiomonitoring for T2DM-SU patients to investigate the relation between the glycemic variability, integral glycemic parameters and proarrhythmogenic cardiovascular events and the long-term cardiovascular outcomes.MATERIALS AND METHODS: In the observational (randomised for inclusion of patients) controlled trial the SU-patients with the T2DM duration 9,8±6,6 years were included, whom the professional glucocardiomonitoring had been made during 5 days and then the fatal and non-fatal cardiovascular events had been investigated during 5 years. …”
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Malignant epithelial cell marker–driven risk signature enables precise stratification in esophageal cancer by Hao Zhang, Hao Zhang, Shizhao Cheng, Shizhao Cheng, Yijun Xu, Yijun Xu

“…Single-cell RNA sequencing (scRNA-seq) provides new perspectives on the cellular makeup and conditions in tumor tissues, with promising implications for functional classification and personalized therapeutic strategies in esophageal cancer.MethodsIn this study, we integrated scRNA-seq data with bulk RNA-seq profiles from esophageal cancer tissues to construct a comprehensive cellular atlas, focusing on the transcriptional characteristics of epithelial cells. …”
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Feasibility study of a domestic fully automated NAT system for blood screening in blood donors by YAO Fenglan, WANG Rui, HU Jinghui, GE Hongwei, LENG Chan, ZHA Yi, ZHAO Zifu, LIU Zhengmin

“…[Objective] To validate the analytical performance, operational performance, and process control measures of a domestic fully automatic nucleic acid testing (NAT) system, thereby ensuring an efficient and orderly blood screening workflow. [Methods] The concordance rate and sensitivity of WanTag-Vortex Plus system were verified using WHO standard reference panels of HIV-1, HCV and HBV, while precision was assessed using weak positive samples of HIV-1, HCV and HBV. …”
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Assessing Dynamic Cognitive Function in the Daily Lives of Youths With and Without Type 1 Diabetes: Usability Study by Mary Katherine Ray, Jorie Fleming, Andrew Aschenbrenner, Jason Hassenstab, Brooke Redwine, Carissa Burns, Ana Maria Arbelaez, Mary Ellen Vajravelu, Tamara Hershey

“…ObjectiveBefore we can assess this relationship, we need to determine the feasibility of measuring cognition in youths in daily life and determine the plausibility of obtaining glucose variation with CGM to be integrated with real-time cognition measures. …”
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Entomological Surveillance of Aedes mosquitoes, vectors of arboviruses in a peri-urban area of Yaounde, Centre, Cameroon by Ms Bertille Djapoum, Ms Gisele Aurelie FOKO DADJI, Ms Borel DIAPPI-TCHAMEN, Ms Abraham FOMENA, Ms Joseph Lebel TAMESSE, Ms Christophe ANTONIO-NKONDJIO

“…It is important to measure variation in their population to predict the environmental conditions promoting their development. …”
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Project quality, regulation quality by Elena Mussinelli

“…It is a seemingly unstoppable process of continuous correction and integration to reform the reform, in the absence of the indispensable monitoring activity that should, instead, verify and assess the effects of the application of the regulation to correctly finalise its amendment. …”
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Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies by Kelsey Fehr, Kelsey Fehr, Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Trenton Dailey-Chwalibóg, Liat Shenhav, Liat Shenhav, Liat Shenhav, Lindsay H. Allen, Lindsay H. Allen, Megan R. Beggs, Megan R. Beggs, Lars Bode, Lars Bode, Rishma Chooniedass, Mark D. DeBoer, Lishi Deng, Camilo Espinosa, Camilo Espinosa, Camilo Espinosa, Daniela Hampel, Daniela Hampel, April Jahual, April Jahual, Fyezah Jehan, Mohit Jain, Patrick Kolsteren, Puja Kawle, Kim A. Lagerborg, Melissa B. Manus, Melissa B. Manus, Melissa B. Manus, Samson Mataraso, Samson Mataraso, Samson Mataraso, Joann M. McDermid, Ameer Muhammad, Payam Peymani, Payam Peymani, Martin Pham, Martin Pham, Setareh Shahab-Ferdows, Yasir Shafiq, Yasir Shafiq, Yasir Shafiq, Vishak Subramoney, Daniel Sunko, Daniel Sunko, Laeticia Celine Toe, Laeticia Celine Toe, Stuart E. Turvey, Lei Xue, Natalie Rodriguez, Natalie Rodriguez, Alan Hubbard, Nima Aghaeepour, Nima Aghaeepour, Nima Aghaeepour, Meghan B. Azad, Meghan B. Azad

“…Multi-modal machine learning methods (extreme gradient boosting with late fusion and two-layered cross-validation) will be applied to predict infant growth and identify determinants of HM variation. …”
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Modeling healthcare resource dynamics and its application based on interregional population mobility by Jiaming Guo, Beibei Yan, Yanli Yang, Yifei Ning, Yan Zhou, Rui Zhang, Yifei Ma, Jiantao Li, Hongmei Yu, Hongmei Yu, Hongmei Yu, Hongmei Yu, Jun Xie, Jun Xie, Jun Xie

“…In the event of an infectious disease outbreak, this model can be integrated into a regionally unified platform for healthcare resource allocation. …”
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Effect of Zinc Nano Oxide on the Quality of Turkey Sperm in Liquid State by Vahid Lotfi vafa, Khalil Mirzadeh, Saleh Tabatabaei Vakili, Amin Kazemizadeh

“…Zinc oxide nanoparticles improve acrosomal membrane integrity, preserve membrane health, enhance acrosomal function, and positively affect mitochondrial performance and its functional integrity  Methods: Semen samples were collected twice weekly for five weeks from 18 Bronze turkeys. …”
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