Search Results (174)

United Nations Sustainable Development Goal 4 advocates for equitable access to and participation in quality inclusive education for all learners. Inclusive education has gained worldwide recognition for promoting equity and social justice for students with special educational needs. Although the existing literature acknowledges the significant role of teachers’ intention and behaviour towards the successful implementation of inclusive education, this area is under-researched in Sub-Saharan countries, including Ghana. In this study, applying the theory of planned behaviour (TPB), 484 teachers at pilot inclusive schools completed an online survey assessing the factors predicting their intention and teaching behaviour towards inclusive education. A path analysis of the TPB variables revealed that only attitude and self-efficacy significantly predicted the teachers’ intention to teach in inclusive classrooms. Moreover, both self-efficacy and intention were found to significantly predict inclusive behaviour. This study’s findings will strengthen the national commitment to implementing inclusive education policy and guide future research aimed at improving and expanding inclusive education in Ghana. Full article

Bangladesh is at the forefront of climate change impacts because of its geographical location, high population density, and constrained socio-economic infrastructure. Our objective is to explore the impacts of climate change on human security components and conflict constellation, and identify adaptation actors through the lens of experts in Bangladesh. We conducted 12 semi-structured qualitative interviews with lead experts using the Problem-centred Interview (PCI) methodology and inductively applied content analysis to analyse the data, complemented with descriptive statistics. Experts see a shift in baseline risk due to the increase in frequency and severity of natural hazards. It exacerbates existing vulnerabilities by declining agricultural productivity, undermining water security and increasing migration. Food, economic, and water security are predominantly impacted, where women and the poor suffer disproportionately. Impacts on urban areas, energy and community security are under-researched. Experts agreed that climate change is a “threat multiplier” and could aggravate political insecurity, leading to conflicts. Individuals and households are primary adaptation actors, followed by governmental and non-governmental organisations. This research contributes to the broader understanding of the complex nexus of climate change impacts, human security, and conflict constellation, complements climate models and provides policy-relevant insights for inclusive, long-term adaptation grounded in local realities in Bangladesh. Full article

The year 2024 has been recorded as the warmest year on record, with global temperatures temporarily exceeding the 1.5 °C threshold owing to rising anthropogenic greenhouse gas emissions. This has intensified global attention on heatwaves, which are a major public health threat linked to increased morbidity and mortality rates. This study conducted a bibliometric analysis of 901 Web of Science-indexed journal articles (2004–2024) using the term “heat wave health.” The findings revealed a significant increase in global temperatures, with an increasing frequency, intensity, and duration of extreme heat events. Heatwaves have been linked to higher rates of injuries, mental health disorders, and mortality, particularly in urban areas, due to ozone pollution, atmospheric contaminants, and the urban heat island effect, leading to increased emergency hospitalisation. Rural populations, especially outdoor labourers, face occupational heat stress and a higher risk of fatality. Adaptation measures, including early warning systems, heat indices, air conditioning, white and green roofs, and urban cooling strategies, offer some mitigation but are inadequate in the long term. Significant knowledge gaps persist regarding regional vulnerabilities, adaptation effectiveness, and socio-economic disparities, underscoring the urgent need for interdisciplinary research to inform heat-resilient public health policies and climate adaptation strategies. This study highlights the urgent need for further interdisciplinary research and targeted policy interventions to enhance heatwave resilience, particularly in under-researched and highly vulnerable regions of the world. Full article

Studying at a university regional campus presents unique opportunities, challenges, and experiences for students. People who live in rural and regional areas are less likely to gain a tertiary degree, and barriers include access, cost, and competing priorities and aspirations. Students are often from lower socio-economic status backgrounds, first in family, and have diverse caring responsibilities, needing a different approach to support when entering higher education. Many studies focus on transitions to higher education for a commencing student. However, student expectations of and engagement in their studies at a regional university are under-researched. Four cross-discipline researchers conducted a pilot study to determine the feasibility of a larger project investigating students’ expectations and experiences of studying at University of Tasmania’s regional Cradle Coast Campus to identify how to better support students in the first two years of their degrees. An online survey collected responses from students commencing a degree through on-campus study. Data were thematically analysed using recurrent abstraction. Five themes emerged under the overarching theme of great expectations. Data contributes to understanding the relevance of Kahu and Nelson’s framework, of student engagement in a regional context. Consideration of these findings will assist in supporting and engaging regional people in higher education. Full article

This paper relies on the conceptual framework of affordances to study collective action, focusing on the under-researched area of wartime collective efforts. Using the case study of collective action during the war in Ukraine, the paper analyses a sample of the most successful Facebook profiles engaging in collective action to support the military and humanitarian efforts in Ukraine and uncovers the various approaches to the organisation of collective action. The paper explores the common features and differences between activists, including approaches to presentation, user engagement, interaction, and reporting. Two groups of profiles are identified based on how they actualise Facebook affordances: organisational and individual profiles. The two groups were found to clearly differ in their approach to user engagement, posting patterns and the use of specific Facebook functions. The findings have implications regarding the organisation of collective initiatives by different actors and contribute to a better understanding of the unique challenges of wartime CA. Full article

Investigating the key factors that contribute to the development of a green economy is essential for governments and policymakers as they decide where to allocate their investments. However, the determinants of a green economy, particularly regarding different energy sources, remain an under-researched area, especially in the context of GCC (Gulf Cooperation Council) economies. This study aims to explore the roles of natural gas production, crude oil production, and electricity production from renewable energy sources in the transition towards green economic transformation. For our estimation, we employed panel data techniques, utilizing data from all six GCC economies covering the period from 2010 to 2023. Our results indicate that both the use of renewable energy sources and natural gas production have significantly contributed to advancing green economic transformation in these economies. In contrast, crude oil production has been found to be an irrelevant factor in explaining the transition to green growth in the GCC. The causality analysis revealed that there is a one-way causal relationship between natural gas production and green economic transformation and a two-way causal relationship between electricity generation from renewable sources and green economic transformation in GCC economies. Based on the study’s findings, we recommend that policymakers in GCC economies embrace green economic transformation by increasing the use of renewable sources and natural gas in production. Green economic transformation would help GCC economies pursue advanced, sustainable economic performance. Full article

Take-over time is a critical factor affecting safety. Accurately predicting the take-over time provides a more reliable basis on issuing take-over requests, assessment of take-over risks, and optimization of human–machine interaction modes. Although there has been substantial research on predicting take-over time, there are still shortcomings in personalized prediction (particularly in accounting for individual differences in driving experience, cognitive abilities, and physiological responses). To gain a comprehensive understanding of the characteristics and applicability of take-over time prediction methods, this review covers four aspects: literature search information, factors influencing take-over time, data acquisition and processing methods, and take-over time prediction methods. Through literature search, research hotspots in recent years have been summarized, revealing the main research directions and trends. Key factors influencing take-over time, including driver factors, autonomous driving systems, and driving environments, are discussed. Data preprocessing stages, including data acquisition and processing, are systematically analyzed. The advantages and disadvantages of classical statistical, machine learning, and cognitive architecture models are summarized, and the shortcomings in current research are highlighted (for instance, the limited generalizability of models trained predominantly on simulator data to real-world driving scenarios). By thoroughly summarizing the strengths and weaknesses of existing research, this review explores under-researched areas and future trends, aiming to provide a solid theoretical foundation and innovative research perspectives for optimizing take-over time prediction, thereby promoting the widespread application and efficient development of autonomous driving technology. Full article

Human Pose Estimation (HPE) models have varied applications and represent a cutting-edge branch of study, whose systems such as MediaPipe (MP), OpenPose (OP), and AlphaPose (ALP) show marked success. One of these areas, however, that is inadequately researched is the impact of image degradation on the accuracy of HPE models. Image degradation refers to images whose visual quality has been purposefully degraded by means of techniques, such as brightness adjustments (which can lead to an increase or a decrease in the intensity levels), geometric rotations, or resolution downscaling. The study of how these types of degradation impact the performance functionality of HPE models is an under-researched domaina that is a virtually unexplored area. In addition, current methods of the efficacy of existing image restoration techniques have not been rigorously evaluated and improving degraded images to a high quality has not been well examined in relation to improving HPE models. In this study, we explicitly clearly demonstrate a decline in the precision of the HPE model when image quality is degraded. Our qualitative and quantitative measurements identify a wide difference in performance in identifying landmarks as images undergo changes in brightness, rotation, or reductions in resolution. Additionally, we have tested a variety of existing image enhancement methods in an attempt to enhance their capability in restoring low-quality images, hence supporting improved functionality of HPE. Interestingly, for rotated images, using Pillow of OpenCV improves landmark recognition precision drastically, nearly restoring it to levels we see in high-quality images. In instances of brightness variation and in low-quality images, however, existing methods of enhancement fail to yield the improvements anticipated, highlighting a large direction of study that warrants further investigation and calls for additional research. In this regard, we proposed a wide-ranging system for classifying different types of image degradation systematically and for selecting appropriate algorithms for image restoration, in an effort to restore image quality. A key finding is that in a related study of current methods, the Tuned RotNet model achieves 92.04% accuracy, significantly outperforming the baseline model and surpassing the official RotNet model in predicting rotation degree of images, where the accuracy of official RotNet and Tuned RotNet classifiers were 61.59% and 92.04%, respectively. Furthermore, in an effort to facilitate future research and make it easier for other studies, we provide a new dataset of reference images and corresponding degenerated images, addressing a notable gap in controlled comparative studies, since currently there is a lack of controlled comparatives. Full article

Background/Objectives: Schizophrenia is associated with cognitive deficits that may compromise everyday functioning, including driving. This review systematically examined recent original research (2015–2025) on driving performance in individuals with schizophrenia with a focus on neuropsychological factors, applying a narrative synthesis given the heterogeneity of designs and outcomes, while no quantitative meta-analysis was feasible. Methods: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a structured search of PubMed and Scopus was conducted on 4 May 2025. The inclusion criteria were original studies involving individuals diagnosed with schizophrenia, published between 2015 and 2025. Studies on animals, other psychiatric or neurological conditions, and healthy populations were also excluded. Critical appraisal was performed using the Joanna Briggs Institute (JBI) tools. Extracted data included sample demographics, cognitive deficits, neuropsychological assessments, brain imaging, and the main findings. A narrative synthesis was then performed. Results: Six high-quality studies met the inclusion criteria. Findings were grouped into three categories: (1) driving behavior: fitness to drive varied widely across individuals, (2) cognitive deficits and brain activity: poorer driving-related performance was consistently associated with specific impairments in cognition and brain structure, and (3) medication effects: individuals taking certain atypical antipsychotics demonstrated better driving performance compared to those on other types of medication, while extrapyramidal symptoms negatively influenced driving fitness. Conclusions: Driving in schizophrenia is shaped by cognitive, clinical, and pharmacological factors. These findings highlight the clinical relevance of individualized evaluations, integration into personalized care and targeted rehabilitation to promote driving autonomy and community inclusion. This area remains under-researched, as only six studies met the inclusion criteria, which restricts the robustness and generalizability of the conclusions. Funding: This review received no funding from any external sources. Registration: The review protocol was submitted to PROSPERO (International Prospective Register of Systematic Reviews) under registration number CRD420251060580. Full article

Background: Chewing gum is a simple, accessible tool with high user compliance, traditionally associated with oral health benefits. Although its potential effects on different aspects of health and well-being, beyond its oral applications, have been explored, the area remains relatively under-researched. This mapping review and evidence gap map (EGM) aimed to evaluate the existing literature on the non-oral health applications of chewing gum and to identify gaps in the literature. Methods: A comprehensive search was conducted across five databases (Scopus, Embase, PubMed, PsycINFO, and CINAHL) using tailored search strategies. Abstracts were screened against predefined eligibility criteria using EPPI-Reviewer version 6, with full texts reviewed only when relevant information could not be drawn. The included studies were coded by gum type, outcome, and study design, and the EGM was constructed using EPPI-Mapper version 2.4.5. Results: Of the 2614 identified records, 1326 were screened after duplicate removal, and 260 studies were included in the final analysis. Three main areas of application emerged: for enhancing well-being and performance, as a medical aid and as a surgical/procedural aid. The EGM indicated that the most frequently studied uses of chewing gum were in sports performance, smoking cessation, and post-operative recovery. However, notable research gaps were found, particularly in paediatric and geriatric contexts. Conclusions: Chewing gum has been extensively studied as a surgical or procedural aid, particularly for post-operative gastrointestinal recovery, but its broader applications for well-being, performance, and its use in paediatric and elderly populations remain underexplored. Further high-quality research using standardised methodologies is needed to address these gaps. Full article

This study investigates the sustainable livelihoods of households in the coastal forest regions of Quang Tri Province, Vietnam, focusing on identifying the key factors that shape household resilience in the face of socio-economic and environmental challenges. Although the sustainable livelihoods approach is widely established in research, this study differentiates itself by applying a multivariate analysis to explore the relative impacts of various livelihood capitals—human, physical, financial, social, and environmental—specifically within the context of coastal forest ecosystems, a relatively under-researched area in Vietnam. The research identifies both factors affecting livelihood outcomes, emphasizing the role of community resources, seasonal fluctuations, and adaptation strategies. Additionally, the study highlights how environmental changes and natural resource constraints are more detrimental to livelihoods in these regions compared to other rural settings. Through these insights, this paper contributes to the growing body of literature by offering a nuanced understanding of how coastal forest communities can navigate the pressures of climate change, market volatility, and limited resources. The findings underscore the importance of enhancing adaptive capacity and crafting targeted policy interventions to support vulnerable households in the region. This study also highlights the limitations of existing research, emphasizing the need for future studies to integrate the complex interplay of environmental, social, and economic factors in coastal ecosystems. Full article

In Japan’s hilly and mountainous areas, which cover over 60% of the national land area, issues such as population outflow, aging, and regional decline are intensifying. This study explored sustainable decarbonization pathways by examining two representative regions (Maniwa City and Hidakagawa Town), while accounting for diverse regional characteristics. A bottom-up approach was adopted to calculate energy consumption and CO₂ emissions within residential and transportation sectors. Six future scenarios were developed to evaluate emission trends and countermeasure effectiveness in different regions. The key findings are as follows: (1) in the study areas, complex regional issues have resulted in relatively high current levels of CO₂ emissions in these sectors, and conditions may worsen without intervention; (2) if the current trends continue, per-capita CO₂ emissions in both regions are projected to decrease by only around 40% by 2050 compared to 2020 levels; (3) under enhanced countermeasure scenarios, CO₂ emissions could be reduced by >99%, indicating that regional decarbonization is achievable. This study provides reliable information for designing localized sustainability strategies in small-scale, under-researched areas, while highlighting the need for region-specific countermeasures. Furthermore, the findings contribute to the realization of multiple Sustainable Development Goals (SDGs), particularly goals 7, 11, and 13. Full article

Background/Objective: Nurses play a critical role in addressing climate change. They are instrumental in both mitigation and adaptation to its effects. Through care provision, education, management, policy development, and research, nurses can undertake a variety of specific actions in response to climate change. However, their perceptions of this challenge remain under-researched. This study aims to investigate Spanish nurses’ knowledge of climate change and its impact on health. Methods: This is a qualitative descriptive study based on the constructivist paradigm. Purposive and snowball sampling strategies were used to recruit nurses from emergency services, geriatrics, cardiology, respiratory medicine and primary care in nine different regions of Spain. Semi-structured online interviews were conducted. Data analysis was carried out by three researchers via a three-stage inductive thematic analysis approach. Results: The sample consisted of 31 nurses, predominantly women (77.42%), with a mean age of 41 years. Seventy percent of the participants had less than 15 years of experience in the service. Four categories were identified: (i) general knowledge of climate change; (ii) knowledge of climate change and health; (iii) knowledge of actions to address climate change; and (iv) knowledge development. Overall, the nurses demonstrated awareness of the risks posed by climate change as well as actions to respond. However, barriers such as a lack of formal training and eco-anxiety affect their knowledge acquisition. Conclusions: Nurses play an important role in the response to climate change. However, more comprehensive and higher-quality educational programmes, provided by academic institutions, workplaces, and professional associations, are needed. This study was prospectively registered with the Clinical Research Ethics Committee of the Cuenca Health Area on 25 January 2022 (registration number 2021/PI3721). Full article

Bus stops are an essential component of public transportation systems, significantly impacting human health, wellbeing, and overall user experience. As primary interaction points for passengers, they are integral to the urban landscape and, as such, their designs influence people’s experiences within the public realm. Despite their importance, the design of bus stops and bus shelters remains an under-researched area. This paper aims to review the existing peer-reviewed research on bus-stop design, identifying areas for future inquiry. Twenty-two peer-reviewed journal articles were selected and included in this study. The most common theme in the published research was the manner in which bus stops could address extreme weather and heat, along with other themes, including accessibility, sustainable energy, air pollution, and noise. Further empirical research is necessary to understand how bus-stop design affects the user experience, emphasizing qualitative methods to explore human experiences, perceptions, motivations, and challenges related to bus-stop usage and public transportation. Full article

(1) Background: Adolescent health and well-being are associated with sports and physical education activities. Novel therapies for athletics training, sporting formations, and physical culture are important. In areas where sports facilities are scarce and not cost-effective, they can lead to poorer physical and mental well-being in adolescents. Emotions related to sports, somatic anxiety, worry, and concentration disruption aligned with task and ego orientation have been under-researched in Pakistan. (2) Methods: A sample of 830 adolescents between the ages of 14 and 19 years were recruited from Pakistan’s sports training center through purposive sampling. Sport-specific emotions, anxiety, task and ego orientation, and coaching athlete purpose (CAP) were measured. (3) Results: Regression analysis showed that different dimensions of sports anxiety (somatic trait anxiety, worry, and concentration disruption) have a significant effect on the task and ego orientation of sports education students. The Hayes process macro analysis shows that CAP significantly mediates between sports emotions and orientation. (4) Conclusions: It is important to introduce Rational Emotive Behavior Coaching and integrate ontological health and well-being for coaching in the sports field. Full article