This page has only limited features, please log in for full access.
This study aims to discuss how China’s top leadership team’s (CTLT) cognitive framework helped them quickly minimize the impact of COVID-19 and enter economic recovery. We find that cognitive framework of CTLT based on Yin-Yang philosophy balancing exerted the following effects: (1) It helped CTLT determine the relative significance of COVID-19 control and economic recovery from a higher level goal of Chinese people’s life and health. (2) It helped CTLT determine opportunities conducive to economic recovery from COVID-19. (3) It helped Chinese leaders quickly identify the central paradox in COVID-19 and mobilize the available resources to address it.
Yong Yang; Youqing Fan; Hao Liu. The role of top leadership team’s cognitive framework in COVID-19 control and economic recovery in China. Applied Economics Letters 2021, 1 -8.
AMA StyleYong Yang, Youqing Fan, Hao Liu. The role of top leadership team’s cognitive framework in COVID-19 control and economic recovery in China. Applied Economics Letters. 2021; ():1-8.
Chicago/Turabian StyleYong Yang; Youqing Fan; Hao Liu. 2021. "The role of top leadership team’s cognitive framework in COVID-19 control and economic recovery in China." Applied Economics Letters , no. : 1-8.
Micro-courses are characterized by short duration, multiple teaching methods, and ease of dissemination. With the increase in educational informatization, the micro-course has become a significant component of higher education in China. Based on cognitive psychology research, the present study divided the micro-course learning process into three stages: knowledge acquisition, search, and analysis. A comparative cognitive experiment was conducted, with students randomly assigned to micro-course or traditional textbook approach groups. This article proposes a cognitive model that enables a quantitative analysis of cognitive time, accuracy, and efficiency in both types of teaching methods. Compared with those exposed to traditional textbook learning, students exposed to micro-courses had a shorter cognitive time and improved cognitive accuracy. The experimental results indicated that micro-courses improved cognitive efficiency, with an average improvement of 157.51%. The improvement in cognitive efficiency in the micro-course group was much more striking at the higher cognitive stages. Similar additional experiments were conducted to evaluate the proposed cognitive model. The results of these experiments were consistent with the findings reported in this article, leading to the conclusion that the proposed cognitive efficiency model is accurate, relatively universal, and well-adapted. This model could be used to inform the calculation of cognitive efficiency, micro-course design, and evaluation.
Ming Lv; Hao Liu; Wenwen Zhou; Chenyang Zheng. Efficiency model of micro-course study based on cognitive psychology in the college. Computers in Human Behavior 2019, 107, 106027 .
AMA StyleMing Lv, Hao Liu, Wenwen Zhou, Chenyang Zheng. Efficiency model of micro-course study based on cognitive psychology in the college. Computers in Human Behavior. 2019; 107 ():106027.
Chicago/Turabian StyleMing Lv; Hao Liu; Wenwen Zhou; Chenyang Zheng. 2019. "Efficiency model of micro-course study based on cognitive psychology in the college." Computers in Human Behavior 107, no. : 106027.
Medical waste has strict classification standards. However, in reality, the process of collection and disposal of most medical waste does not strictly follow the corresponding standards, thus resulting in great potential risks to people’s health. Our research analyzed existing problems with medical waste classification management, optimized the medical waste recycling business model, and then used the simulation software AnyLogic to design mixed and classification simulation models based on current literature regarding the standards of medical waste classification and composition in China. Furthermore, we simulated and calculated the generation of nonrecyclable medical waste, recyclable medical waste, and domestic waste in the three models based on 30,000 tons of medical waste generated in Beijing in 2015. We compared and analyzed the output, generation rate, disposal cost, recycling revenue, and cost–benefit based on the disposal cost standards of the Beijing Municipal Commission of Development and Reform and the China Renewable Resources Price Index in Beijing. The importance of strengthening the classification and recycling of medical waste was further validated by modeling and simulation. The study provides an important reference to hospitals, disposal plants, and government regulatory departments in their decision-making.
Hao Liu; Zhong Yao. Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China. Sustainability 2018, 10, 4226 .
AMA StyleHao Liu, Zhong Yao. Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China. Sustainability. 2018; 10 (11):4226.
Chicago/Turabian StyleHao Liu; Zhong Yao. 2018. "Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China." Sustainability 10, no. 11: 4226.