Governance strategies for end-of-life electric vehicle battery recycling in China: A tripartite evolutionary game analysis

End-of-life (EOL) electric vehicle (EV) batteries have both economic and environmental benefits if recycled in an environmentally friendly manner while they may cause environmental pollution if treated improperly. China is currently working hard to promote the development of a circular economy by EOL EV battery recycling. However, conflicts of interest among electric vehicle manufacturers (EVMs), consumers, and the government often hinder efficient recycling. This study constructs a tripartite evolutionary game model under the condition of bounded rationality, analyzes the evolutionary stability strategy of three participants, and combines with numerical simulation to explore the feasible governance strategies of EOL EV battery recycling. The results show that four evolutionary stable strategies (ESSs) correspond to the three stages of the EOL EV battery recycling industry: early stage, development stage, and maturity stage. In the early stage, the punishment strategy is more critical to motivate EVMs and consumers to actively participate in battery recycling. The subsidy mechanisms can influence the strategic choices of the three participants, but the excessive subsidy is not conducive to the sustainable development of the EOL EV battery industry. In addition, when the industry matures, the government will gradually decrease intervention, thereby realizing the development path of EOL EV battery recycling from exogenous government supervision to endogenous profit drive

What is Attention Deficit Hyperactivity Disorder (ADHD)? And How It Effects Parenting Lifestyle, Emotions, and Stress: A Systematic Review

Attention deficit hyperactivity disorder (ADHD) which is also known as hyperkinetic syndrome. It is the most common behavioral disorder in childhood and one of the key causes of learning disability in children. Children suffering from ADHD have normal or nearly normal intelligence. Main clinical feature includes a shorter attention span than other children in their group age. pharmacological and non-pharmacological therapies are available for the management of symptoms and to improve function but sometimes it will often fail to normalize symptoms of children suffering from ADHD. The interaction between parents and child with ADHD have great impact on parenting style and it always give negative outcomes. Parents of children suffering with ADHD also have stress to use several coping strategies to deal with ADHD symptoms impacting family life. The aim of this systematic review is to give brief introduction about ADHD and its impact on parents and caregivers daily lifestyle. Keywords: Attention deficit hyperactivity disorder, copying, parenting lifestyle, caregivers. DOI: 10.7176/JHMN/98-01 Publication date:March 31st 202

Mining and Utilizing Knowledge Correlation and Learners’ Similarity Can Greatly Improve Learning Efficiency and Effect: A Case Study on Chinese Writing Stroke Correction

Using AI technology to improve teaching and learning is an important goal of educational sustainability. By mining the correlation between knowledge points, the discrete knowledge points can be integrated to improve the knowledge density and reduce the learning task. In addition, the successful experiences of similar learners can be shared, thus shortening the learning path of new learners. To change the common situation of irregular writing stroke order, to teach and correct stroke order effectively, this study uses association rules to explore the potential correlation between error-prone Chinese characters based on a large number of learners’ writing records, and then summarizes and sorts out a set of error-prone Chinese characters based on this. Every Chinese character contained in an error-prone category has a common error-prone feature. By correcting this error, it can be extended to every Chinese character of this category, and the learning efficiency of Chinese character strokes can be improved tens of times. In the training and testing system with a Chinese character error-prone character set, combined with the improved collaborative filtering algorithm, a learner-based personalized error-prone Chinese character recommendation model was proposed. Experimental results showed that the Apriori algorithm with lift measure can excavate effective strong association rules and provide an important reference for the character set table. The improved collaborative filtering algorithm can make use of the similarity between learners, share successful learning experiences, provide a personalized recommendation service for error-prone Chinese characters, and the recommendation performance is higher than that of the traditional collaborative filtering model. In the test of different types of learning groups, there are obvious differences between the independent pre-test and the post-training test, which effectively corrects the irregular writing habits, and further indicates that the excavation of knowledge correlation and the combination of learners’ similarity can effectively improve the efficiency and effect of teaching and learning