Climate change is occurring more quickly and has more complex effects than expected. The well-being of populations in general and financial resources have been impacted by climate change in recent years. Children, pregnant women and the elderly bear the brunt of the impacts caused by climate-related risks. This research aims to assess the perceptions of health personnel and clients on climate change as well as these impacts in the Greater Lomé health region in Togo. Furthermore, this research examines the differences between the perceptions of caregivers, patients and scientific observations in this area. Based on field observations, an interview guide and a questionnaire, the information collected shows that nearly 75.95% of those questioned perceived climate change, particularly in the form of an increase in precipitation concentrated on a cost duration causing floods and the scarcity of rain at the end of the year leading to droughts. More than 25.40% and 61.86% respectively perceive that droughts and floods impact their livelihoods, but do not fully understand the causes. The results are useful for planning useful actions to facilitate the management of climate-related risks in health establishments in the Greater Lomé health region. It is therefore important to carry out awareness campaigns, train stakeholders and take necessary measures to make health systems resilient.

In the new era, an important component of China’s social governance system construction is to strengthen and innovate social governance to improve the ability and level of social governance in China. To ensure the long-term stability of the country and the well-being of the vast majority of the people, it is necessary to be adept at strengthening social governance, continuously improve and improve the governance system that is suitable for the development of modern society with scientific thinking methods, and enhance the level and capacity of governance in China. Based on this, this paper discusses how to promote the innovation of social governance in the digital age, and proposes innovative ideas on the model of social organization governance under the guidance of <Economic Diversification Plan for Macao SAR (2024–2028)>.

This study applies machine learning methods such as Decision Tree (CART) and Random Forest to classify drought intensity based on meteorological data. The goal of the study was to evaluate the effectiveness of these methods for drought classification and their use in water resource management and agriculture. The methodology involved using two machine learning models that analyzed temperature and humidity indicators, as well as wind speed indicators. The models were trained and tested on real meteorological data to assess their accuracy and identify key factors affecting predictions. Results showed that the Random Forest model achieved the highest accuracy of 94.4% when analyzing temperature and humidity indicators, while the Decision Tree (CART) achieved an accuracy of 93.2%. When analyzing wind speed indicators, the models’ accuracies were 91.3% and 93.0%, respectively. Feature importance revealed that atmospheric pressure, temperature at 2 m, and wind speed are key factors influencing drought intensity. One of the study’s limitations was the insufficient amount of data for high drought levels (classes 4 and 5), indicating the need for further data collection. The innovation of this study lies in the integration of various meteorological parameters to build drought classification models, achieving high prediction accuracy. Unlike previous studies, our approach demonstrates that using a wide range of meteorological data can significantly improve drought classification accuracy. Significant findings include the necessity to expand the dataset and integrate additional climatic parameters to improve models and enhance their reliability.

This study applies the multiple streams theory. It will further analyze the internal factors of the confluence of multiple sources, in order to explain why the “Joint Recruitment of Four Universities in Macao” policy has become the agenda of the Macao government. The entrance examination requirements from Macau universities are various. They increase local students’ pressure and consume their energy, thus serving as the source of the Problem Stream. The Policy Stream is represented by the Macau government’s intention to reduce students’ educational burden through establishing a unified assessment system. The Political Stream includes the Macau government’s commitment to improving the Macau education system, such as strengthening the multi-assessment system and the “The Fundamental Law of Non-tertiary Education System”. The convergence of these three sources has opened a policy window for the “Joint Recruitment of Four Universities in Macao” system, leading to a new student evaluation system. This policy not only addresses Macau’s social challenges and improves education governance while also highlighting the city’s educational diversity endeavors. Additionally, the strategies for implementing the “Four-University Joint Examination” policy include reducing the number of exams for students, implementing multi-education and multi-enrollment in higher education institutions, analyzing and improving the examination system based on educational big data, and understanding the basic elements and integration paths of big data in higher education. The Macau government can adjust major settings and enrollment quota allocation in the future, draw in more students from the Community of Portuguese-Speaking Countries and the “Belt and Road” regions, and integrate the joint admission method into the Greater Bay Area education cooperation in order to meet the needs of the growing Macao education industry.

The recent coronavirus-19 pandemic has highlighted the need for a global digitally enabled healthcare advancement infrastructure to ease e-coverage in the future and reduce human losses, facilitating access to high-quality and cost-effective health solutions. As the concept of a virtual healthcare system is still premature, it would have required noteworthy speculation in technologies and an overhaul of most of the current classical healthcare infrastructure, policies, and systems around the globe. Aims and objectives: This study aims to create a viable autonomous virtual universal health care system to modify the comfort of health care through emerging digital and communication innovations to fulfil consumer needs. Methodology: This study falls under the fact-finding category, which encompasses an exploratory approach with literature examination, limited field visits with informal interviews with local key authorities, and an initial assessment of current circumstances to examine the possibility of application of virtual health coverage. Findings: This study discovered that it is imperative to organize and develop the prospected healthcare system at the country level to be governed by international organizations as speculatively it is functioning in comparative improved healthcare systems across the world, which should be based on special processing of the prospected six types of data with their operationalization to serve multidisciplinary bunches by e-governance and exchanges between distinctive measurements. It requires more dependence on digital infrastructure and learning materials through electronic resources and ordinary techniques. Among other effective components for the development of virtual health coverage, are the applications of digital technology, the middle utility of voice and brief advising framework, complex functionalities, and applications of fifth generations (5Gs) arranged into universal servers attached to GPS-appropriate for sound choice and high-quality measures. Recommendations: This study recommends the construction of a virtual healthcare system by utilizing the proposed Electronic domestic medical adviser, virtual clinics, or “e-health incubators” which will allow individuals to relate through the web rather than the face-to-face institutive fragmented structure systems.

It is increasingly obvious the huge improvement caused in loss of habitat and degradation in environment. Various nations are prone to natural disasters if this issue is not addressed. The development of finance has been hailed as significant in alleviating environmental concerns due to its part as a source of cash for the development of green technology. The primary goal of this research is to satisfy an acquaintance vacuum by investigating the relationship amongst economic growth and ESG (Environmental, Social and Governance) concert throughout Asia. This analysis made use of country-level data from 2010 to 2015. Economic growth is positively connected to ESG routine, due to examination upon the pooled normal least squares method, the immovable impact logistic method, these two-phase least squares technique, and the structure’s generalised approach of moments estimator. Additionally, additional tests including financial sector growth subcomponents (financial platforms and financial institutions) reveal that the conclusion is consistent and resilient under multiple model settings. Financial development, when combined, is an essential catalyst for promoting ESG performance in Asia.