Zhiyong Han

Team-based Learning and Mock Exams as Early Predictors in Accelerated Medical Neuroscience Courses (P1-15.003)

Tomaima Yousef, Carmenrita Infortuna, Amanpreet Kaur, Zhiyong Han et autres

This study aims to determine whether early Team-Based Learning (TBL) performance directly predicts summative outcomes and whether mock examinations serve as a mediating factor in this relationship, thereby establishing an evidence-based framework for early student support in a medical neuroscience course in …

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Correction to: Autocrine activation of JAK2 by IL-11 promotes platinum drug resistance

Wei Zhou, Wei Sun, Mingo M. H. Yung, Sheng Dai et autres

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Hidden Gap: Lack of Published Evidence on Successful One Health Curricula Development, Implementation, and Outcomes in Medical Education

Erin E Russell, Triston Messer, Kassidy Manning, Aneesh Bhave et autres

Background and objectives: For decades, there have been many opinion and perspective publications advocating to include One Health in medical curricula. However, it is also known that there are numerous barriers for doing so including a lack of expertise and difficulty of …

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Classroom injustice and university students’ cyberloafing: the mediating role of neutralization techniques

Zhiyong Han, Zhiyong Yang, Huang Ziwei

Introduction: Cyberloafing in the classroom has been linked to adverse educational outcomes, undermining students' learning and frustrating instructors. From a neutralization perspective, students may justify deviant acts when they perceive injustice. This study examined how perceived classroom justice relates to students' intention …

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One Health in Medical Education: A Literature Review Shows a Scarcity of Curricular Content, Implementation Strategies, and Outcome Assessments

Erin E Russell, T. J. F. Messer, Saurav Boparai, Nicole Mastrogiovanni et autres

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Can large language models be used to code text for thematic analysis? An explorative study

Zhiyong Han, Aaron Tavasi, Ju-Young Lee, Joshua Luzuriaga et autres

In practice, thematic analysis of text involves six stages, among which text coding is particularly cognitively demanding, labor-intensive, and time-consuming. This study investigates and compares the potential of two large language models (LLMs), namely ChatGPT-4 and OpenAI o1-preview, to perform text coding, …

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The impact of COVID-19 stress on nurses’ organizational deviance: A moderated mediation model

Zhiyong Han, Mingxia Chen, Yanbo Wang

The outbreak and rapid spread of the COVID-19 in December 2019 (Iqbal Z, Aslam MZ, Aslam T, Ashraf R, Kashif M, Nasir H, Register J, 2020, 13, 208-30) has brought great work pressure to nurses on the frontline of the fight against …

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Stimulating Chinese college students’ organizational citizenship behavior toward the environment: the role of pro-environmental organizational climate, green self-efficacy and intrinsic motivation

Zhiyong Han, Chuanyun Jiang, Jingjing Li

Purpose This study aims to investigate the mechanisms through which a pro-environmental organizational climate (PEOC) can enhance organizational citizenship behavior toward the environment (OCBE) among college students. Design/methodology/approach Based on social cognitive theory and self-determination theory, the authors developed a theoretical model …

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Can Large Language Models Be Used to Code Text for Thematic Analysis? An Explorative Study

Zhiyong Han, Aaron Tavasi, Ju-Young Lee, Joshua Luzuriaga et autres

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How responsible leadership affects employees’ turnover intention in China: A psychological contract perspective

Zhiyong Han, Dan Wang, Yu Cheng, Wei Shao

BackgroundThe current high rate of employee turnover has become a key factor affecting organizational stability and core competitiveness, which requires organizational leaders to work with a higher sense of responsibility. Although several studies have confirmed that responsible leadership (RL) negatively affects employees' …

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Beyond Text Generation: Assessing Large Language Models’ Ability to Reason Logically and Follow Strict Rules

Zhiyong Han, Fortunato Battaglia, Kush Mansuria, Yoav Heyman et autres

The growing interest in advanced large language models (LLMs) like ChatGPT has sparked debate about how best to use them in various human activities. However, a neglected issue in the debate concerning the applications of LLMs is whether they can reason logically …

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Medical students' distress during the transition to the endemic phase of COVID-19 in China: The association with temperament traits and attachment styles

Carmenrita Infortuna, Xiaolin Yang, Ray Wang, Gianluca Pandolfo et autres

Objective The transition of COVID-19 into the endemic phase in China has posed additional challenges to medical student's well-being, and increased the odds of mental distress. Although affective temperament traits and adult attachment styles accompany crisis-induced stress, whether this applies to medical …

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