In the wake of the COVID-19 pandemic, the prevalence of online education in primary education has exhibited an upward trajectory. Relative to traditional learning environments, online instruction has evolved into a pivotal pedagogical modality for contemporary students. Thus, to comprehensively comprehend the repercussions of environmental changes on students’ psychological well-being in the backdrop of prolonged online education, this study employs an innovative methodology. Founded upon three elemental feature sequences—images, acoustics, and text extracted from online learning data—the model ingeniously amalgamates these facets. The fusion methodology aims to synergistically harness information from diverse perceptual channels to capture the students’ psychological states more comprehensively and accurately. To discern emotional features, the model leverages support vector machines (SVM), exhibiting commendable proficiency in handling emotional information. Moreover, to enhance the efficacy of psychological well-being prediction, this study incorporates an attention mechanism into the traditional Convolutional Neural Network (CNN) architecture. By innovatively introducing this attention mechanism in CNN, the study observes a significant improvement in accuracy in identifying six psychological features, demonstrating the effectiveness of attention mechanisms in deep learning models. Finally, beyond model performance validation, this study delves into a profound analysis of the impact of environmental changes on students’ psychological well-being. This analysis furnishes valuable insights for formulating pertinent instructional strategies in the protracted context of online education, aiding educational institutions in better addressing the challenges posed to students’ psychological well-being in novel learning environments.

Background: Despite China’s 1.4 billion population and massive investment in improving medical education, there is no transformational national or international course focused on emergency trauma care. In order to overcome recognized deficiencies, we developed an affordable knowledge and skills workshop called Essential Trauma Critical Care China (ETCCC). Methods: Pre-course and post-course MCQs were used to test knowledge and simulation scenarios quantified clinical competence. Structured feedback was obtained. To evaluate the effect of ETCCC on staff performance, we analyzed the clinical records and questioned resuscitation team peers for trauma patients requiring resuscitation room intervention in the 10 consecutive patients before and after the workshops. Results: During 2022–2023, five workshops were delivered to participants from six hospitals in two Chinese provinces. Cost per participant did not exceed US$125. Fifty-eight doctors and 37 nurses participated. For all delegates pre-course knowledge scores increased from mean 35% to 70% post-course. 99% (n = 82/83) participants reached the required standard in the post-course written test. Post-course skills tests scores were mean 67% for doctors and 84% for nurses. Nurses demonstrated significant improvements in the rate and quality of trauma history acquisition as well as triage skills after the course (all p < 0.01). Doctors scored significant improvement in the areas of leadership and teamwork, care of cervical spine, circulation assessment and fluid resuscitation (all p < 0.02). Conclusion: Essential Trauma Critical Care China (ETCCC) is the first economically developed medical educational tool shown to improve performance of emergency room staff. Its success may have relevance for trauma-care education in similar medium-resource environments.

Stress has evolutionary roots that help human beings evolve and survive. Existing workplace mental health models typically view stress as the direct cause of poor mental health. Such models focus on strategies to eliminate it. Guided by O’Connor and Kirtley’s integrated motivational-volitional (IMV) model, we posit that demanding jobs and high-stress environments do not directly impact an individual’s mental health but trigger a “sense of self” moderator (SSM), which then leads to mental health outcomes. This moderator is modified by the workplace’s organizational design and individual’s traits. We propose a Workplace Mental Health (WMH) Model, which suggests that by addressing these SSM modifiers through evidence-based interventions at organizational and individual levels, even in high-stress environments, organizations can have mentally healthy workforces and build high-performance workplaces. This paper assumes that stress is an inalienable part of any work environment and that a secular reduction in stress levels in modern society is infeasible. Although some individuals in high-stress job environments develop mental illness, many do not, and some even thrive. This differential response suggests that stress may act as a trigger, but an individual’s reaction to it is influenced more by other factors than the stress itself.

Purpose: There have been many studies on corporate social responsibility. Still, research on the dual relationship showing the impact of management control on corporate social responsibility and business performance has not been exciting researchers. The article also identifies and measures the elements of management control that affect compliance with corporate social responsibility and business performance. At the same time, the paper also analyzes the influence of compliance with corporate social responsibility on business performance. From the research results, listed companies will see the importance of designing management control and complying with corporate social responsibility to maximize the business’s profits. Findings: The article demonstrates the practicality of institutional theory in the relationship between management control, corporate social responsibility, and business performance. Institutional theory influences the relationship between management control, CSR, and business performance by highlighting the role of external institutional pressures, legitimacy, and conformity to societal norms. Companies that strategically integrate institutional expectations into their management control systems can enhance their CSR efforts, improve their reputation, and contribute to better business performance. Methodology: We collect data on 195 manufacturing enterprises listed on the Vietnam stock market in 6 sectors. This study’s main data analysis method is the structural equation modeling method (SEM). The article used AMOS software to evaluate and measure the influence of each factor. Practical implications: The article has analyzed five aspects of management control to corporate social responsibility and business performance: Size of the Board of Directors (BOD), percentage of independent members in the BOD, and concurrence. CEO and Chairman of the Board of Directors, state ownership ratio and foreign shareholder ownership rate. The results show that a company with a CEO who is not the Chairman of the BOD will have a higher level of CSR compliance than a company with a CEO who is also the Chairman of the BOD. The larger the Board size, the higher the level of CSR, but This has not been verified for the company’s business performance. The higher the foreign ownership ratio, the better the CSR compliance; however, this has the opposite direction for the state ownership rate. The higher the percentage of independent members on the Board of Directors, the lower the level of CSR compliance. In terms of impact on business performance in the enterprise: The higher the company’s compliance with corporate social responsibility, the better it’s business performance. A company with a CEO who holds the position of BOD will have lower business performance than companies with a CEO who does not hold the position of Chairman of the Board of Directors. Companies with a high percentage of state ownership will have lower business performance. The higher the percentage of independent members on the Board of Directors, the lower the business performance. Originality: This attests that the research paper I submitted is the result of my original and independent work. I have duly acknowledged all sources from which the ideas and quotations have been obtained. The project does not contain any plagiarism and has not been sent elsewhere for publication.

Protecting the environment and the Earth's natural resources is one of the most important tasks for modern societies, economies, and countries. Changes in the environment have made climate protection a key task of state policy implemented at the local, national, and international. They also have caused such negative social manifestations as environmental radicalism and terrorism. The purpose of this paper was to analyze the capacity of state institutions to prevent environmental terrorism and radicalism, particularly in the Russian context, by identifying and prioritizing key challenges and countermeasures. A mixed-methods approach was adopted, involving both qualitative and quantitative analyses. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of 35 articles and reviews were selected to provide a foundation for understanding eco-terrorism trends. Additionally, an expert survey was conducted with 44 qualified participants to rank problems and recommended actions. The Kendall concordance coefficient was used to assess the consistency of expert opinions. The authors conclude that low environmental awareness and insufficient cooperation between state institutions and environmental organizations are the most significant challenges in preventing eco-terrorism. To adequately and competently prevent environmental terrorism and radicalism in society, the prevention system must be based on clear and thoughtful actions by state institutions.