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Research on the Methodologies and Approaches for Enhancing College Students’ Humanistic Quality in Medical School
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作者 jianlan zhou Xiaojin Wang 《International Journal of Technology Management》 2016年第4期13-15,共3页
In this paper, we conduct research on the methodologies and the approaches for enhancing college students’ humanistic quality in medical school. The nature of medicine is medical education attaches great importance t... In this paper, we conduct research on the methodologies and the approaches for enhancing college students’ humanistic quality in medical school. The nature of medicine is medical education attaches great importance to the humanity quality education. Medical education and the humanistic quality education mutually harmony, to make the medical quality and humanity quality as the one, developed a new generation of high quality good. Since the 21st century, China’s medical colleges in explore the basic approaches and methods of the medical education, the teaching theory and research have made signifi cant progress, based on the analysis of humanistic quality curriculum structure in the universities of China, the concept of curriculum implementation, and some suggestions in aspects such as education method to explore new way of enhancing the medical student humanities quality education effectiveness that will be innovative. 展开更多
关键词 Medical School APPROACHES COLLEGE STUDENT HUMANISTIC Quality Methods
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Study on the influencing factors of piecewise multi-strain crossover epidemic spread under data contamination
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作者 jianlan zhou Guozhong Huang +2 位作者 Shenyuan Gao Zhijin Chen Xuehong Gao 《Journal of Safety Science and Resilience》 EI CSCD 2023年第3期305-315,共11页
The ongoing impact of the novel coronavirus disease 2019(COVID-19)on work and daily life persists as we transition from emergency to normal circumstances.The continuous mutation of viral strains has resulted in a shif... The ongoing impact of the novel coronavirus disease 2019(COVID-19)on work and daily life persists as we transition from emergency to normal circumstances.The continuous mutation of viral strains has resulted in a shift from a single strain to multiple cross-strains,contributing to the spread of the epidemic.Variations in infection rates of the same strain occur because of the implementation of diverse preventive measures at different times.This study investigated the dynamics of the pandemic in the presence of concurrent strains.Building on the classical Susceptible,Exposed,Infected,and Recovered(SEIR)model,a robust piecewise multi-strain cross-epidemic trend prediction model was proposed that employs the Hodges–Lehmann estimator to handle uncertain and contamination-prone epidemic information.A comparative analysis of epidemic spread trend curves across diverse populations using different robust methods revealed the superiority of the Hodges–Lehmann estimator-based model over the traditional method.The accurate prediction results of the model demonstrate its high reliability in tracking the changing trend of the COVID-19 outbreak,thereby supporting its implementation in subsequent epidemic prevention and control measures. 展开更多
关键词 COVID-19 Data contamination Hodges–Lehmann estimator Multiple strain cross Robust piecewise prediction
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