Strengthening the integration of elementary school mental health education and moral education is of great significance in comprehensively cultivating students' ideological and moral qualities as well as values. In order to fully implement quality education, schools need to carry out diversified teaching in conjunction with family forces to further optimize the integration effect of elementary school mental health education and moral education, cultivate high-quality talents for the country and society, and contribute to the construction of socialism with Chinese characteristics in the new era. This paper discusses the integration strategy of elementary school mental health education and moral education.

The increase in energy consumption is closely linked to environmental pollution. Healthcare spending has increased significantly in recent years in all countries, especially after the pandemic. The link between healthcare spending, greenhouse gas emissions and gross domestic product has led many researchers to use modelling techniques to assess this relationship. For this purpose, this paper analyzes the relationship between per capita healthcare expenditure, per capita gross domestic product and per capita greenhouse gas emissions in the 27 EU countries for the period 2000 to 2020 using Error Correction Westerlund, and Westerlund and Edgerton Lagrange Multiplier (LM) bootstrap panel cointegration test. The estimation of model coefficients was carried out using the Augmented Mean Group (AMG) method adopted by Eberhardt and Teal, when there is heterogeneity and cross-sectional dependence in cross-sectional units. In addition, Dumitrescu and Hurlin test has been used to detect causality. The findings of the study showed that in the long run, per capita emissions of greenhouse gases have a negative effect on per capita health expenditure, except from the case of Greece, Lithuania, Luxembourg and Latvia. On the other hand, long-term individual co-integration factors of GDP per capita have a positively strong impact on health expenditure per capita in all EU countries. Finally, Dumitrescu and Urlin’s causality results reveal a significant one-way causality relationship from GDP per capita and CO₂ emissions per capita to healthcare expenditure per capita for all EU countries.

This study aims to identify gaps in Indonesia’s national social health insurance scheme (Jaminan Kesehatan Nasional or JKN) in meeting the right to health for disabled persons in the country and to propose strategies to mitigate the gaps. This study employed descriptive qualitative methodologies. A questionnaire survey and structured interviews were undertaken from the period of October to December 2021, with a purposive sample of 317 disabled persons at their working age. Data collection also included on-site observations to sample of healthcare providers in six provinces and focused group discussions with key stakeholders. This study found that JKN is the primary source of hope for disabled persons. Nevertheless, approximately ten percent of disabled persons have been omitted from the scheme. Moreover, respondents of the survey expressed notably lower satisfaction level compared to the national average. Meanwhile, 25% of them also reported that JKN did not cover certain disability-specific benefits. The findings suggest that the national social health insurance scheme is not well prepared to offer disability-inclusive services. Thereby, policymakers should implement various interventions to improve the admission processes for disabled persons and to develop a system to identify disabled members based on their specific disabilities. Additionally, stipulating standards for disability-friendly minimum services for healthcare providers and incorporating the standards into the credentialing systems, providing regular training on disability-friendly services for healthcare personnel, also enhancing benefits coverage for disabled members in the Indonesian Case Base Groups (INA-CBGs) are the necessary strategies to mitigate the gaps.

The purpose of the study was to examine the role of personalization in motivating senior citizens to use AI driven fitness apps. Vroom’s expectancy theory of motivation was applied to examine the motivation of senior citizens. The responses from participants were collected through structured interviews. The participants belonged to South Asian origin belonging to India, Bangladesh, Nepal and Bhutan. The authors adopted a content analysis approach where the gathered interview responses were coded in the context of elements of Vroom’s theory. The findings of the study indicated that a highly personalized approach in the context of motivation, expectancy, instrumentality and valence will motivate senior citizens to use AI based fitness apps. The study contributes to the personalization of AI fitness apps for senior citizens.

The use of artificial intelligence (AI) in the detection and diagnosis of plant diseases has gained significant interest in modern agriculture. The appeal of AI arises from its ability to rapidly and precisely analyze extensive and complex information, allowing farmers and agricultural experts to quickly identify plant diseases. The use of artificial intelligence (AI) in the detection and diagnosis of plant diseases has gained significant attention in the world of agriculture and agronomy. By harnessing the power of AI to identify and diagnose plant diseases, it is expected that farmers and agricultural experts will have improved capabilities to tackle the challenges posed by these diseases. This will lead to increased effectiveness and efficiency, ultimately resulting in higher agricultural productivity and reduced losses caused by plant diseases. The use of artificial intelligence (AI) in the detection and diagnosis of plant diseases has resulted in significant benefits in the field of agriculture. By using AI technology, farmers and agricultural professionals can quickly and accurately identify illnesses affecting their crops. This allows for the prompt adoption of appropriate preventative and corrective actions, therefore reducing losses caused by plant diseases.