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The Formation of Forearc Seismic Belt: A Potential Explanation of Seismogenesis in a Weakly Coupled Subduction Zone
Get PDFThe enigmatic occurrence of seismic activity in forearc regions, particularly within weakly coupled subduction zones, continues to perplex geoscientists. While traditional models of plate interface coupling explain many megathrust earthquakes, they fall short in accounting for the spatial distribution and mechanism of intermediate-magnitude earthquakes within the forearc crust. This opinion article explores the formation of the forearc seismic belt (FSB) as a plausible and coherent framework for understanding seismogenesis in such settings. Drawing from geophysical observations, recent advances in subduction zone modeling, and tectonic analogs, the article argues that the FSB emerges as a structural and stress-response feature linked to lower plate geometry, fluid fluxing, and crustal heterogeneities in the overriding plate. This perspective challenges the narrow view that only strongly coupled megathrust interfaces are responsible for major seismicity and proposes that crustal adaptation to slab dynamics plays a more active role. Recognizing the FSB’s role could refine seismic hazard assessments in subduction zones previously thought to be relatively quiescent
Senior Secondary Education of Migrant Children in China and Impacts of High School Entrance Examination Policies
Get PDFTo realize the goal of universalizing senior SECONDARY EDUCATION in the country across the board, China must pay special attention to the issue in underdeveloped regions and among underprivileged groups. This study aims to delineate the developments in senior secondary education for migrant children (children of migrant workers) in China, based on data from the China Migrants Dynamic Survey 2011-2018, and analyze the heterogenous impacts of migrant children-specific high school entrance examination policies in various provincial administrative regions, using the difference-in-differences method. 
How Adolescents’ Family Socioeconomic Status Affects their Career Preparation: The Mediating Effect of Social and Emotional Skills
Get PDFDrawing on data of 15-year-old Chinese students from the second round of the OECD Survey on Social and Emotional Skills in 2023, this study examines the relationship between family socioeconomic status and career preparation (including exploring the future, experiencing the future, and thinking about the future) in teenagers, as well as the mediating effect of social and emotional skills of the individual on this relationship. The results reveal that the adolescent’s family socioeconomic status not only directly influences their career preparation but also exerts an indirect effect via their social and emotional skills, particularly those in the domains of open-mindedness, task performance, and collaboration
The Role of Generative Artificial Intelligence in the Teaching and Learning of English as Foreign Language: An Empirical Study of GenAI-Based Feedback in Secondary English Writing
Get PDFThis study is an evaluation of the effect of GenAI-based feedback on English writing performance of secondary school students as English-as-foreign-language (EFL) learners, based on experimental data from 201 seventh graders from four classes at J Middle School in Wuhan, Hubei Province, China. Using the GenAI software “Doubao,” which is built on the Skylark model, as the experimental platform, the researchers compared the English writing scores of the experimental group (trained with GenAI-based feedback) and the control group (trained with teacher feedback) across four writing assignments. 
Is Prescribing Physical Activity for Older Adults Reliable and Applicable?
Get PDFThis article critiques a proposed solution for enhancing the health of elderly individuals through exercise, highlighting two key areas for improvement. First, it argues for more precise exercise descriptions tailored to specific races and sexes, citing differences in physiology and disease outcomes that necessitate individualized approaches to avoid potential harm. Second, it addresses the lack of guidance on monitoring patient compliance and assessing the effectiveness of prescribed physical activities, as current recommendations, including those from the WHO, fail to provide methodologies for post-prescription follow-up
Can Human-Machine Collaborative Learning Based on Generative Artificial Intelligence Improve Student Learning Outcomes? A Meta-Analysis of 20 Experimental and Quasi-Experimental Studies
Get PDFAs a result of the application of artificial intelligence (AI) in education, human-machine collaborative learning emerged as a novel learning modality, attracting much attention in academia. The advent of generative AI (Gen AI) gave new impetus to this modality. Nevertheless, there are debates on the effectiveness of Gen AIbased human-machine collaborative learning. This article synthesizes the findings of 20 experimental and quasiexperimental studies, using the meta-analytical techniques, and examines the impact of moderating variables, such as the disciplinary domain, type of knowledge, duration of intervention, on the outcomes of Gen AI-based human-machine collaborative learning
Working to Tackle the Issue of NEETs
Get PDFAneet (not in education, employment, or training) is a young person who is unemployed and not receiving education or vocational training. The term originated in the UK in the late 1990s, but with slight differences in its definition in various countries because of differential social and cultural contexts. The differences are mainly about the age range of NEETs and their intention of seeking a job or not (Batini et al). Each country has its own slang term for this group, such as “hikikomori” in Japan and “Ken Lao Zu” in China, pointing to the complexity and pervasiveness of the issue of NEETs. According to prior studies, the NEET status has a long-term negative impact on the individual’s economic circumstances (Ralston et al., 2022) and is also linked to higher risks of suicide and criminal behavior (Rahmani & Rahmani, 2024). From the social perspective, the NEET phenomenon signals the problems faced by the economy and the labor market. Therefore, it is imperative to develop effective measures to prevent at-risk youngsters from becoming NEETS and tackle the challenges encountered by this category
Multiple Sclerosis: Where Does It Exactly Stem From?
Get PDFMultiple sclerosis (MS) is a complicated, multifaceted autoimmune disorder marked by damage to the myelin sheath of the central nervous system. The precise etiology of MS remains incompletely elucidated, though it is thought to arise from an interplay of genetic and environmental influences. Genetic predisposition contributes to the likelihood of acquiring MS, particularly in persons with a familial history of the illness. Moreover, environmental factors such as viral infections, vitamin D insufficiency, smoking, specific dietary practices, and exercise lacking have been associated with the initiation of an aberrant immune response that results in inflammation and demyelination within the central nervous system. Researchers persist in examining the complex underpinnings of MS to formulate more effective treatments and interventions for individuals impacted by this chronic neurological disorder
Teacher-Student Relationships and Pupil Math Anxiety: A Longitudinal Study
Get PDFThe teacher-student relationship plays a supporting role in student learning. Are there any mutual influences between the teacher-student relationship and student math anxiety? This study aims to examine the longitudinal interaction between the teacher-student relationship and math anxiety in primary school students with a sample of 221 pupils aged 9 and 10 from X School in Chongqing City in China. The study went through two sessions of investigation with an interval of one year
The Relationship between the Teacher Education Level and Student Academic Achievement: An Empirical Study Based on Data from the China Education Panel Survey
Get PDFOptimizing teachers’ qualifications has been viewed as a consequential strategy for the comprehensive enhancement of the quality of basic education in China. Drawing on baseline and follow-up data from the China Education Panel Survey (CEPS), this study investigates the effects of teacher education levels on student academic performance using the hierarchical linear model (HLM). The effects are measured by the students’ academic gains in secondary Chinese language, mathematics, and English