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OBJECTIVE: A wide range of factors can influence help-seeking attitudes when individuals experience a mental disorder. The current study investigated the relationship between traditional Chinese beliefs related to the aetiology of mental disorders and help-seeking attitudes among elderly participants in Macao. METHODS: In order to ensure the suitability of participants for inclusion in this study, the participants were required to complete an initial screening test using the Short Portable Mental Status Questionnaire (SPMSQ). Participants who successfully passed the test (n = 183) completed a questionnaire that included the Inventory of Attitudes Toward Seeking Mental Health Services (IASMHS), a set of 9 items related to traditional Chinese beliefs about aetiology of mental disorders and demographic items. RESULTS: The IASMHS scores were higher for female participants and for participants who had completed high school compared with those who had never attended school or who had only completed primary education. Endorsement of traditional Chinese beliefs about the aetiology of mental disorders was higher for male participants. There was a negative correlation between traditional Chinese aetiology beliefs related to mental disorders and help-seeking attitudes. CONCLUSION: Traditional Chinese beliefs related to the aetiology of mental disorders are a negative factor that inhibits help seeking. Implications for efforts to increase the utilisation of mental health services by the elderly are discussed.

Critical thinking (CT), as a form of higher-order thinking, is intended to help individuals form reasonable reflection and judgment to deal with increasingly severe employment situations. As the primary workforce in the labor market, undergraduates must possess a strong critical thinking disposition (CTD) to make better use of CT. Despite extensive research on components of CTD from the perspective of educational practices, there is limited emphasis on investigating the components and their relationships of CTD in the labor market and the impact of gender differences. Therefore, this study presented an analysis of 1535 Chinese undergraduates (Mage = 20.89; SD = 1.43) using the Employer-Employee-Supported Critical Thinking Disposition Inventory (2ES-CTDI), aiming to explore the CTD that undergraduates should possess before entering the labor market. The relationships among the components were examined using SmartPLS4.0 in conjunction with Partial Least Squares Structural Equation Modeling (PLS-SEM). Additionally, a multigroup analysis (PLS-MGA) with a measurement invariance (MI) test was conducted to validate the moderating effects of gender. The findings indicate that (a) self-efficacy has a significant negative effect on habitual truth-digging, and boys are more affected than girls, instant judgment plays a competitive partial mediating role in this relationship; (b) self-efficacy has a significant positive effect on instant judgment, and boys are more likely to make instant judgments than girls; (c) instant judgment significantly positively affects habitual truth-digging. These findings highlight the dynamic equilibrium among the internal components of CTD in the labor market and call for increased attention from educators to the importance of gender differences in the cultivation process.

Remote Learning's Impact on Students' Cognitive Development: Evidence from Time Series Assessment [Conference presentation]

In this paper, the repertory grid is presented as a technique to explore novice programmers' experiences within the context of an action research project. The theoretical and methodological aspects of the technique are discussed. The findings from the technique that combined quantitative and qualitative data analysis methods are provided. These findings relate to the learning process, learning content, and learning support as experienced by the students in an introductory object-oriented programming course. The repertory grid technique is then appraised for its relevance and usefulness to the project, and for its contribution to the diversity of computer science research methods. Insights gained from the use of the technique are shared with the community of computer science educators.

"Providing an overview of key issues in theory and practice, Replication Research in Education is designed to identify and discuss the benefits and challenges facing replication studies in education. Both clear and practical, this ground-breaking volume covers how to introduce, develop, conduct, report and discuss these studies, and the issues they raise for policy and practice. Bridging theory and practice, this book considers what replication research should look like, how it should be conducted and how to judge when it has been successful. It enables researchers to plan and conduct studies successfully, from their earliest stages through to completion. This key text: brings together in a single volume, existing issues, claims and counter-claims, discourses and practices of replication introduces, covers, and extends this field of research, indicating its possibilities and limits expands and adds to existing discussions and practices will enable researchers to design, conduct, evaluate and critique studies. The comprehensive and exhaustive coverage of issues and practices within Replication Research in Education make it a "must read" for all novice and experienced educational researchers who are considering, conducting, and reviewing replication studies in education"--

It has been claimed in \cite1, that the idea proposed in \cite2 has certain mistakes based on arguments of energy conditions and others. Additionally, some of the key arguments of the paper are criticized. Here we demonstrate that the results obtained in \cite2 are correct and that there is no violation of any energy condition. The statements claimed in \cite1 are based on three things: 1). Misinterpretation of the metric solution. 2). Language issues related to the physical quantities obtained in \cite1, where the authors make wrong interpretations about certain results over the geometry proposed in \cite2. 3). Non-rigorous evaluations of the vacuum condition defined via the result over the Ricci tensor R_\mu\nu=0.

China leads in global automobile production and sales, but fuel vehicle usage causes energy crisis and pollution. Electric vehicles, as energy-saving and environmentally friendly transportation, can alleviate urban ecological pressure and reduce dependence on non-renewable energy. Development of electric vehicles is thus prioritized. However, the current electric vehicle market is immature and faces slow growth due to various constraints. Despite state policies, market performance lags, and consumer acceptance is low, leading to a mismatch between praise and sales. Therefore, exploring factors influencing consumer demand and purchase intention for electric vehicles is crucial. This paper focuses on consumer perceived value to study factors affecting second-hand electric vehicle resale value, offering practical relevance and value. Consumer behavior theory suggests that consumers' purchase decisions hinge on their perception of a product. Consumer perception involves a subjective, overall evaluation of a product or service based on usage purposes and needs, and an analysis of relevant information from various channels. For used electric vehicles, perception includes understanding of appearance, function, cost, and performance.This study aims to analyze factors affecting the resale value of used EVs and explore consumers' perception of this value. Guided by consumer perception, the study conducted a literature review-based comprehensive analysis and qualitative exploration of used EV resale value. The findings reveal that price, battery performance, endurance, environmental protection, and safety significantly impact the resale value of used EVs. Finally, combined with the research conclusions of this paper, management suggestions are put forward, and countermeasures are summarized from the two levels of government and second-hand electric vehicle marketing enterprises

At the beginning of 2020, the World Health Organization (WHO) started a coordinated global effort to counterattack the potential exponential spread of the SARS-Cov2 virus, responsible for the coronavirus disease, officially named COVID-19. This comprehensive initiative included a research roadmap published in March 2020, including nine dimensions, from epidemiological research to diagnostic tools and vaccine development. With an unprecedented case, the areas of study related to the pandemic received funds and strong attention from different research communities (universities, government, industry, etc.), resulting in an exponential increase in the number of publications and results achieved in such a small window of time. Outstanding research cooperation projects were implemented during the outbreak, and innovative technologies were developed and improved significantly. Clinical and laboratory processes were improved, while managerial personnel were supported by a countless number of models and computational tools for the decision-making process. This chapter aims to introduce an overview of this favorable scenario and highlight a necessary discussion about ethical issues in research related to the COVID-19 and the challenge of low-quality research, focusing only on the publication of techniques and approaches with limited scientific evidence or even practical application. A legacy of lessons learned from this unique period of human history should influence and guide the scientific and industrial communities for the future.

In the current context of intensified economic globalization, Chinese state-owned enterprises (SOEs) have actively responded to the "Belt and Road" initiative by expanding their overseas operations, seeking new growth points through competition and cooperation in the global market. However, along with opportunities come the necessity for risk management in the overseas operations of SOEs. Based on theories of systematic and non-systematic risks, this thesis employs methods such as case study analysis and multiple linear regression to thoroughly examine key risk types in SOEs’ overseas operations, including political risks and exchange rate risks. Using quantitative models like the Analytic Hierarchy Process (AHP) and neural network early-warning models, the thesis empirically tests the effectiveness of mechanisms for risk identification, assessment, and control. Data sources include national statistics and corporate annual reports, and techniques such as Principal Component Analysis (PCA) and cluster analysis are applied to reveal statistical characteristics of risk factors and the internal and external linkage mechanisms of risk events. The thesis points out that the management of risks in overseas operations of SOEs not only relies on scientific assessment and precise early warning but also requires the establishment of a risk management framework and governance system that aligns with international rules. Through in-depth analysis of the overseas operations of enterprises like PetroChina and Huawei, the thesis distills strategies for risk prevention and control, such as diversified investment strategies and the construction of compliance risk control systems, and conducts a comprehensive evaluation of the current risk management system, proposing pathways for sustainable development. The outcomes of the research aim to help SOEs enhance their level of risk management, ensure national economic security, and also provide theoretical guidance and practical reference for the implementation of international strategies by SOEs