Comfort or hesitancy: A cross-sectional study of modifiable factors associated with co-vaccination behavior among United States and Canadian adults by Emily Frith, Sarah Deedat, E. Susanne Blazek, Amy Bucher

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Media Environment in Georgia During the 2020 Elections by D. Abazov, N. Skvortsova

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Global prevalence of insulin resistance in the adult population: a systematic review and meta-analysis by Jhosmer Ballena-Caicedo, Jhosmer Ballena-Caicedo, Fiorella E. Zuzunaga-Montoya, Joan A. Loayza-Castro, Juan Carlos Bustamante-Rodríguez, Juan Carlos Bustamante-Rodríguez, Luisa Erika Milagros Vásquez Romero, Rafael Tapia-Limonchi, Rafael Tapia-Limonchi, Carmen Inés Gutierrez De Carrillo, Carmen Inés Gutierrez De Carrillo, Víctor Juan Vera-Ponce, Víctor Juan Vera-Ponce

“…Furthermore, no clear trend related to publication year was evidenced.…”
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Understanding one health challenges in marginalized urban settings: A patient and public involvement (PPI) approach from the CHIP consortium activities across four global cities by Logan Manikam, Darlington David Faijue, Kalpita Shringarpure, Margi Sheth, Pam Factor-Livak, Priti Parikh, Hector Altamirano-Medina, Dewi Nur Aisyah, Radhika Sharma, Hemant Chaturvedi, Kaushik Sarkar, Rajib Dasgupta, Nancy Hiu Lan Leung, Pradeep Kumar Srivastava, Monica Lakhanpaul

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Artificial Intelligence Impact on Responsabilities in Ethics Health Policy by AGHEORGHIESEI Doina-Monica, SFRIJAN Elena-Mihaela

“…The implementation of artificial intelligence (AI) in the healthcare sector brings both significant benefits and complex challenges related to ethical, administrative and legal responsibilities. …”
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Political legacies and present perceptions of migrants by Christian S. Czymara, Anastasia Gorodzeisky, Inna Leykin

“…Thus, even in the context of the most salient migration-related events, such as war, past geo-political processes can play a significant role in the formation of current public perceptions of immigration.…”
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Creating a healthier economy: A rapid evidence review of inequalities in flexible working arrangements in the UK by A. Barnes, C. Cartwright, K. Kennedy, A. Formby

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Has the pandemic exacerbated sedentary behavior in children? Factors associated with high screen time in schoolchildren during COVID- 19 by Erica Costa Rodrigues, Laudicéia Ferreira Fróis, Natália de Freitas Tavares, Priscila Pena Camargo, Raquel de Deus Mendonça, Adriana Lúcia Meireles

“…Wilcoxon test for paired samples compared screen time median before and after the pandemic's onset. Linear regression models with hierarchical input were used to estimate the associations between screen time and sociodemographic and pandemic-related variables, adjusted for sex and age. …”
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Screening tool for the identification of relative energy deficiency in Sport risk: validation of the low energy availability in female questionnaire - Italian version (LEAFQ-ITA) by Cinzia Ferraris, Lenycia de Cassya Lopes Neri, Anna Paola Amoroso, Francesca Bosio, Simona Fiorini, Monica Guglielmetti, Rossella Elena Nappi, Anna Tagliabue

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Knowledge, attitudes, and practices towards prevention and control of neurocysticercosis-related epilepsy in Northern Tanzania: A cross-sectional healthcare professional-based stud... by Masanja Laurent Lugelongi, Andrew Martin Kilale, Kabemba Evans Mwape

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Models for Evaluating the Effectiveness of Corporate Training Programs for Managers on the Principle of Cross-Functionality by M. I. Inozemtsev, M. K. Marushina, A. M. Mirzoyeva

“…The article focuses on the analysis of models for efficiency evaluation of corporate training programs for managers based on the principle of cross-functionality taking into account the type of educational organization. …”
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A lethal DENV-2 wild-type mouse model for mutagenesis investigations by Zhiran Qin, Xiaoting Xie, Hua Ye, Hao Wu, Zhuoyun Li, Jingshu Li, Xiaoen He, Zuxin Liang, Xuling Liu, Li Zhu, Qinghua Wu, Weiwei Xiao, Kefeng Wu, Chengsong Wan, Bao Zhang, Zhaohui Sun, Jianhai Yu, Chenguang Shen, Linzhong Yu, Wei Zhao

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The acceptability of, and informational needs related to, self‐collection cervical screening among women of Indian descent living in Victoria, Australia: A qualitative study by Ana Machado Colling, Nicola S. Creagh, Neha Gogia, Kerryann Wyatt, Claire Zammit, Julia M. L. Brotherton, Claire E. Nightingale

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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study by Jinzhao Cui, Ting Zhang, Yifeng Shen, Xiaoli Wang, Liuyang Yang, Xuefeng Huang, Qiang Huang, Yu Yang, Weizhong Yang, Zhongjie Li

“…Relative to traditional models, probability-based warning signals improved early detection, reduced false alarms, and facilitated tiered public health responses. …”
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Analysis of novel therapeutic targets and construction of a prognostic model for hepatocellular carcinoma by Pengyuan Lei, Wenfeng Li, Dafei Xie, Hua Guan, Xin Huang, Bo Huang

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Time to a tuberculosis treatment cure and its predictors among tuberculosis patients at public health facilities in Arba minch town, South Ethiopia: A retrospective cohort study by Dereje Dana Zeruma, Mesfin Kote, Eshetu Zerihun, Getahun Gedabo, Biruk Wogayehu

“…The Cox proportional hazards model was used to identify predictors with TB treatment cure. …”
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Examining the role of emotion regulation, anger, and anxiety in misophonia: A network model. by Matthew R Hanna, Amanda C Collins, Yanyan Shan, Bill Chen, Siyuan Wang, M Zachary Rosenthal

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Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos by Shahab Uddin, Tahir Nawaz, James Ferryman, Nasir Rashid, Md. Asaduzzaman, Raheel Nawaz

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Large language models for depression recognition in spoken language integrating psychological knowledge by Yupei Li, Shuaijie Shao, Manuel Milling, Manuel Milling, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller

“…Depression is a growing concern gaining attention in both public discourse and AI research. While deep neural networks (DNNs) have been used for its recognition, they still lack real-world effectiveness. …”
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Development and evaluation of large-language models (LLMs) for oncology: A scoping review. by Namya Mehan, Teshan Dias Desinghe, Ashirbani Saha

“…Large language models (LLMs), a significant development in artificial intelligence (AI), are continuing to demonstrate seminal improvement in performance for various text analysis and generation tasks. …”
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