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.

The existence of residential well-being of the locals in the sense of equilibrium-state is a competitive advantage for tourism in a given destination. The rise of overtourism could jeopardize this equilibrium and ultimately the effectiveness of tourism in a vulnerable destination. The research question of the study aimed to answer: what are the spiral dynamics of the multifactorial characteristics of the sense of place that can be mapped under the influence of overtourism. Answering the question draws attention to the sense of place—which can be interpreted as a synonym for local character—of the issues of overtourism and residential well-being. Mapping the mechanism of action of the multifactorial characteristic of locality can help to identify non-supportive functions, to pinpoint the balance point for moving towards a supportive quality, and to answer the “how yes” questions at individual, local and collective levels. The answer to the research question is the result of concluding three district-specific sub-questions. The assessment of the results was based on the content analysis of 251 posts (2017–2021) in the local public Facebook group (supplemented by a questionnaire survey of local residents (2022), 30 in-depth interviews with experts and residents (2022) conducted as part of the cross-sectional research, and 10 additional in-depth interviews with residents (2024) conducted for the last sub-question. The flowchart showing the current state of the district along a negative spiral dynamic, the possibility to turn it in a positive direction, and the mind-map-like summary of local, individual and collective mitigation and solution alternatives supporting the change of direction can be considered as a novel scientific result.

This quasi-experimental study examined the effect of a mechanics course delivered through a Learning Management System (LMS) on the creativity of prospective physics teachers at a teacher training college in Mataram, Indonesia. The study was conducted in the post-pandemic era. Using a pretest-posttest one-group design, the researchers evaluated changes in creativity across three domains: figural, numeric, and verbal. The results showed significant improvements in overall creativity, with the most critical gains observed in the figural domain. Further analysis revealed that fluency was the creative indicator with the most enhancement. In contrast, other indicators displayed varying degrees of improvement. These findings highlight the potential of LMS-based instruction in fostering creativity among future physics educators, particularly in the figural, numeric, and verbal domains. This study adds to the growing body of evidence supporting technology integration into teacher education, especially during times of crisis. Future research should explore more targeted instructional strategies within LMS environments and utilize comprehensive creativity assessment methods further to enhance creative learning experiences for prospective physics teachers.

The proportion of national logistics costs to Gross Domestic Product (NLC/GDP) serve as a valuable indicator for estimating a country’s overall macro-level logistics costs. In some developing nations, policies aimed at reducing the NLC/GDP ratio have been elevated to the national agenda. Nevertheless, there is a paucity of research examining the variables that can determine this ratio. The purpose of this paper is to offer a scientific approach for investigating the primary determinants of the NLC/GDP and to advice policy for the reduction of macro-level logistics costs. This paper presents a systematic framework for identifying the essential criteria for lowering the NLC/GDP score and employs co-integration analysis and error correction models to evaluate the impact of industrial structure, logistics commodity value, and logistics supply scale on NLC/GDP using time series data from 1991 to 2022 in China. The findings suggest that the industrial structure is the primary factor influencing logistics demand and a significant determinant of the value of NLC/GDP. Whether assessing long-term or short-term effects, the industrial structure has a substantial impact on NLC/GDP compared to logistics supply scale and logistics commodity value. The research offers two policy implications: firstly, the goals of reducing NLC/GDP and boosting the logistics industry’s GDP are inherently incompatible; it is not feasible to simultaneously enhance the logistics industry’s GDP and decrease the macro logistics cost. Secondly, if China aims to lower its macro-level logistics costs, it must make corresponding adjustments to its industrial structure.

Studies show that Fourth Industrial Revolution (4IR) technologies can enhance compliance with COVID-19 guidelines within the parties in the construction industry in the future and mitigate job loss. It implies that mitigating job loss improves the achievement of Sustainable Development Goal 1 (SDG 1) (eliminate poverty). There is a paucity of literature concerning 4IR technologies application and COVID-19 impact on South Africa’s construction industry. Thus, this paper investigates the impacts of the pandemic on the sector and the roles of digital technologies in mitigating job loss in future pandemics. Data were collected via virtual semi-structured interviews. The participants proffered unexplored insights into the impact of the pandemic on the sector and the possible roles that 4IR technology can play in mitigating the spread of the virus within the sector. Findings show that the sector was hit, especially the low-income earners, threatens to achieve Goal 1, despite government institutions’ intervention, such as economic support programmes, health and safety guidelines awareness, and medical facilities. Findings group the emerged impacts into health and safety, environmental, economic, productivity, social, and legal and insurance issues in South Africa. The study shows that technology can be advantageous to improving achieving Goal 1 in a pandemic era due to limited job loss.

This study explores the experiences and perceptions of Chinese postgraduate students in the UK regarding online learning, focusing on the Community of Inquiry (CoI) framework. Semi-structured interviews were used to collect qualitative data, which were analyzed thematically. The findings reveal positive perceptions of online learning, challenges related to technology and infrastructure, the significance of social interaction and collaboration, and the limited impact of teaching quality on student satisfaction. The study emphasizes the importance of the CoI framework in designing effective online learning environments. Limitations include a small sample size and potential bias. Future research should involve larger and more diverse samples, investigate different teaching strategies, and enhance student agency and self-regulated learning in online education. Overall, this study contributes to understanding the applicability of the CoI framework and its potential for improving online learning experiences.