Search Results (2,284)

The Amazonian region comprises a set of ecosystems that play an essential role in stabilizing global climate and regulating carbon and water cycles. However, several environmental issues of anthropogenic origin threaten climate stability in this region: agribusiness, illegal mining, illegal timber exports, pesticide use, and biopiracy, among others. These actions lead to deforestation, soil erosion, fauna biodiversity loss, water resource contamination, land conflicts, violence against indigenous peoples, and epidemics. The present study aims to feature the current degradation process faced by the Amazonian biome and identify strategic alternatives based on science to inhibit and minimize the degradation of its biodiversity and water resources. This applied research, based on a systematic review, highlighted the complexity, fragility, and importance of the functioning of the Amazonian ecosystem. Although activities such as mining and agriculture notoriously cause soil degradation, this research focused on the scenarios of biodiversity and water resource degradation. The dynamics of the current Amazon degradation process associated with human activity and climate change advancement were also described. Ultimately, the study emphasizes that, given the invaluable importance of the Amazon’s biodiversity and natural resources for global climate balance and food and water security, anthropogenic threats endanger its sustainability. Beyond the well-known human-induced impacts on the forest and life, the findings highlight the need for strategies that integrate forest conservation, sustainable land management, and public policies focused on the region’s sustainable development. These strategies, supported by partnerships, include reducing deforestation and burning, promoting environmental education, engaging local communities, enforcing public policies, and conducting continuous monitoring using satellite remote sensing technology. Full article

Stunting is a major global health concern, particularly in low- and middle-income countries, due to its persistently high prevalence. It often originates from chronic malnutrition during the critical first 1000 days of life. Maternal and child nutrition are critical determinants of a child’s growth and development. This article aimed to explore the impact, causes, and evidence-based strategies to accelerate the reduction of stunting incidence worldwide. This review was undertaken with sources from PubMed, Scopus, Google Scholar, Science Direct, and MEDLINE from October 2024 to January 2025. This review was undertaken with sources from PubMed, Scopus, Google Scholar, Science Direct, and MEDLINE from October 2024 to January 2025 using the keyword “Stunting”, “Causes of stunting”, “Stunting Impact”, “Stunting Intervention”, and “Stunting Prevention”. The findings highlight the multifactorial causes of stunting, including maternal malnutrition, inadequate breastfeeding and complementary feeding, poor sanitation, and socioeconomic factors. Stunting is associated with impaired linear growth, cognitive deficits, gut dysbiosis, endocrine disruption, anemia, and increased risk of chronic diseases later in life. Addressing stunting demands multisectoral strategies focusing on maternal and child nutrition, infection prevention, improved WASH (Water, Sanitation, and Hygiene) practices, and socioeconomic support. The evidence presented may guide policy development and targeted interventions to prevent stunting and its long-term effects. Full article

This study presents a bibliometric analysis of scientific research on climate change awareness campaigns, using data from the Web of Science (WoS) database and the keywords “climate change” and “campaign”. Publications from 1994 to 2024 were examined to identify key trends, author networks, and institutional contributions. Following PRISMA guidelines, 1274 records were initially retrieved; after applying exclusion criteria, 1207 documents were included in the final dataset. The results reveal a steady growth in publication output, especially over the last decade, with dominant contributions from environmental sciences, meteorology and atmospheric research, and science and technology studies. While “campaign” is frequently mentioned, it often serves as a methodological or communicative element within broader climate-related research. The United States, the United Kingdom, and Germany lead in publication volume and influence, with increased contributions from countries in the Global South. The global collaboration map highlights strong international efforts and interdisciplinary integration. Based on these findings, future research should evaluate campaign effectiveness, leverage digital tools, foster cross-regional knowledge exchange, and strengthen the link between scientific evidence and public policy. This study offers a foundation for more inclusive, impactful, and evidence-driven climate change communication strategies. Full article

Agricultural science and technology policies (ASTPs) have played a pivotal role in shaping agricultural innovation, sustainability, and cleaner production practices. Understanding how ASTPs diffuse is essential for optimizing policy design and advancing the green transition in agriculture. This study aims to investigate the diffusion of ASTPs in China, using a quantitative citation-based approach. The goal is to explore diffusion patterns, topic characteristics, and historical trajectories of ASTPs, thereby providing insights into policy transmission mechanisms that can inform future policy improvements. We analyze 3207 ASTP documents, focusing on policy citation links to examine the distribution, diffusion characteristics, and dynamics of policies. The analysis includes tracking topic evolution and identifying key policies while estimating the main diffusion paths. The results show that the top-down diffusion model is the dominant pattern of policy transmission, exhibiting the highest diffusion speed and both short- and long-term impacts. ASTPs have progressively expanded toward industrialization, informatization, and green development, with increased policy transmission efficiency. The diffusion process has formed three primary pathways: (i) enhancing agricultural innovation capacity, (ii) accelerating the transformation of technological achievements, and (iii) improving the agricultural science and technology innovation system. These pathways are critical to advancing sustainable and cleaner agricultural production. This study provides valuable insights into the diffusion of ASTPs and highlights key pathways for policy optimization. The findings suggest that enhancing policy frameworks and improving policy implementation efficiency will be crucial for facilitating the transition toward sustainable, low-carbon, and environmentally friendly agricultural practices. Future research should refine data sources and incorporate semantic analysis to capture more detailed policy transmission mechanisms. Full article

This meta-analysis examined how unemployment, a psychosocial stressor, influences post-traumatic stress disorder (PTSD) and complex PTSD (CPTSD). It specifically explores unemployment as a risk factor for trauma, with emphasis on CPTSD, and investigates economic variables, including the GINI coefficient, as potential moderators. A systematic search in Web of Science, Scopus, and PubMed yielded 33 studies comprising more than 57,000 participants. Odds ratios (OR) were computed, and a random-effects model was used to synthesize the findings. Meta-regression analyses were conducted to evaluate the effects of economic inequality (GINI) and nominal gross domestic product (NGDP), but neither moderator reached statistical significance; this is addressed in detail in the Discussion. The results revealed that unemployment significantly elevated the risk for PTSD (OR = 1.500; logOR = 0.3826; PI: 0.457–4.702) and CPTSD (OR = 2.180; logOR = 0.7430; PI: 0.501–8.808), with a stronger impact on CPTSD. These findings emphasize unemployment as a pivotal predictor of trauma, especially CPTSD, broadening the traditional focus on interpersonal factors. They also highlight the importance of integrating psychosocial and economic variables into clinical assessments and public health policies. Addressing both unemployment and economic inequality could be critical for effective interventions and prevention efforts, underscoring the need for further multidisciplinary research. Full article

The increasing frequency and destructiveness of natural disasters necessitate scalable, transparent, and timely analytical frameworks for risk reduction. Traditional disaster datasets—curated by intergovernmental bodies such as EM-DAT and UNDRR—face limitations in spatial granularity, temporal responsiveness, and accessibility. This study addresses these limitations by introducing a novel, AI-enhanced disaster intelligence framework that leverages 19,130 publicly available news articles from 453 global sources between September 2023 and March 2025. Using OpenAI’s GPT-3.5 Turbo model for disaster classification and metadata extraction, the framework transforms unstructured news text into structured variables across five key dimensions: severity, location, media coverage, economic resilience, and casualties. Hypotheses were tested using statistical modeling, geospatial aggregation, and time series analysis. Findings confirm a modest but significant correlation between severity and casualties ($\rho =0.12$, $p<{10}^{-60}$), and a stronger spatial correlation between average regional severity and impact ($\rho =0.31$, $p<{10}^{-10}$). Media amplification bias was empirically demonstrated: hurricanes received the most coverage (5599 articles), while under-reported earthquakes accounted for over 3 million deaths. Economic resilience showed a statistically significant but weak protective effect on fatalities ($\beta =-0.024$, $p=0.041$). Disaster frequency increased substantially over time (slope ${\eta }_1=53.17$, $R^2=0.32$), though severity remained stable. GPT-based classification achieved a high average F1-score (0.91), demonstrating robust semantic accuracy, though not mortality prediction. This study validates the feasibility of using AI-curated, open-access news data for empirical hypothesis testing in disaster science, offering a sustainable alternative to closed datasets and enabling real-time policy feedback loops, particularly for vulnerable, data-scarce regions. Full article

Artificial intelligence (AI) is regarded as a pivotal instrument in the realm of inclusive education, offering a means to enhance accessibility and personalize learning experiences for students with disabilities. This study presents a comprehensive and systematic review of the impact of AI on inclusive education, elucidating both its advantages and the challenges associated with its implementation. In accordance with the PRISMA guidelines, studies published between 2021 and 2024 in databases including Scopus, Web of Science, ScienceDirect, and ERIC were subjected to analysis. A bibliometric analysis was conducted using Bibliometrix to identify key trends, and ATLAS.ti was employed to organize topics such as accessibility, personalization, and ethics. The findings demonstrate that AI enhances accessibility through the provision of adapted materials, including image descriptions for visually impaired students and audio transcripts for those with hearing impairments. Furthermore, it alleviates the administrative burden on educators, enabling them to prioritize pedagogical guidance. Nevertheless, several obstacles persist, including a dearth of AI training, inadequate infrastructure, and ethical concerns regarding privacy and equitable access to technology. Ultimately, AI holds immense promise for enhancing inclusive education and fostering greater accessibility. However, its success hinges on surmounting these challenges. This study underscores the necessity for policies and strategies that ensure the ethical and sustainable utilization of AI in inclusive environments. Full article

The Arctic is undergoing unprecedented transformations with implications for regional ecosystems, Indigenous communities, and global climate systems. Ocean heat transport, permafrost thawing, and ice–albedo interactions are some of the feedback mechanisms that contribute to the increase in average temperatures in the Arctic. These processes increase the risks associated with climate change globally by speeding up the loss of sea ice, changes in biodiversity, and greenhouse gas emissions. This review synthesises recent advances in Arctic climate science, focusing on the drivers and feedback mechanisms of Arctic amplification, its cascading impacts on ecosystems and socioeconomic systems, and emerging governance challenges. It highlights critical knowledge gaps, specifically regarding the importance of Indigenous knowledge and interdisciplinary approaches in climate adaptation strategies. This study emphasises the need for inclusive, transformative, and collaborative approaches by analysing governance frameworks, climate policies, and community resilience initiatives. Innovative adaptation strategies are suggested, such as ecosystem-based adaptations, climate-resilient infrastructure, and the switch to renewable energy to address these issues. Arctic-specific governance recommendations are proposed to develop sustainable solutions that preserve its ecology while reducing its global effects by filling research gaps and promoting international collaboration. The future of the Arctic is not merely a regional issue but also a global one, requiring swift and coordinated action to address climate challenges. Full article

Background/Objectives: Food banks and pantries play a critical role in improving food security through allocating essential resources to households that lack consistent access to sufficient and nutritious food. However, these organizations encounter significant operational challenges, including variability in food donations, volunteer shortages, and difficulties in matching supply with demand. Artificial intelligence (AI) has become increasingly prevalent in various sectors of the food industry and related services, highlighting its potential applicability in addressing these operational complexities. Methods: This study systematically reviewed empirical evidence on AI applications in food banks and pantry services published before 15 April 2025. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive keyword and reference search was conducted in 11 electronic bibliographic databases: PubMed, Web of Science, Scopus, MEDLINE, APA PsycArticles, APA PsycInfo, CINAHL Plus, EconLit with Full Text, Applied Science & Technology Full Text (H.W. Wilson), Family & Society Studies Worldwide, and SocINDEX. Results: We identified five peer-reviewed papers published from 2015 to 2024, four of which utilized structured data machine learning algorithms, including neural networks, K-means clustering, random forests, and Bayesian additive regression trees. The remaining study employed text-based topic modeling to analyze food bank and pantry services. Of the five papers, three focused on the food donation process, and two examined food collection and distribution. Discussion: Collectively, these studies show the emerging potential for AI applications to enhance food bank and pantry operations. However, notable limitations were identified, including the scarcity of studies on this topic, restricted geographic scopes, and methodological challenges such as the insufficient discussion of data representativeness and statistical power. None of the studies addressed AI ethics, including model bias and fairness, or discussed intervention and policy implications in depth. Further studies should investigate innovative AI-driven solutions within food banks and pantries to help alleviate food insecurity. Full article

Background: Resistance to vaccinations continues to pose a considerable challenge to attaining widespread vaccination, especially among the college student demographic, who are pivotal in championing public health initiatives. This systematic review investigates the elements that influence reluctance to receive the COVID-19 vaccine among university students globally. Utilizing the WHO’s 3C model, which encompasses confidence, complacency, and convenience, this review seeks to pinpoint the main factors and suggest focused strategies to address them. Methods: Following the PRISMA guidelines, we conducted a systematic search in PubMed, Medline, Web of Science, Scopus, Embase, and Global Health. Eligible studies were cross-sectional, peer-reviewed, and examined COVID-19 vaccine hesitancy among college students. Covidence was used for screening, and data were synthesized narratively using the 3C model. Results: Sixty-seven studies (n = 88,345 participants) from 25 countries were included in this study. Confidence factors were the most influential, with fear of side effects (87.18%) and doubts about efficacy (72.4%) as primary concerns. Complacency factors included a low perceived risk of infection (34.9%) and a preference for alternative preventive measures (52.3%). Convenience barriers involved financial costs (58.1%) and difficulty accessing vaccination centers (40.3%). Subgroup analyses revealed variations by academic discipline and geographic region, with medical students showing hesitancy despite their health knowledge. Conclusions: COVID-19 vaccine hesitancy among college students is primarily driven by safety concerns, misinformation, and accessibility barriers. Addressing hesitancy requires transparent risk communication, policy-driven accessibility improvements, and tailored educational interventions. These findings can inform strategies to enhance vaccine uptake among young adults and contribute to broader efforts in pandemic preparedness. Full article

Background/Objectives: Human papillomavirus (HPV) is a leading cause of cervical cancer. Despite the proven effectiveness of vaccination programs, global coverage remains uneven, with significant disparities across regions due to various socioeconomic, cultural, and political factors. This study explores the primary barriers to HPV vaccination worldwide and proposes recommendations to improve access to screening and vaccination programs. Methods: A systematic literature review was conducted, analyzing studies published in the past ten years from databases such as PubMed, Scopus, and Embase, following the PRISMA methodology. Study selection involved multiple researchers, with discrepancies resolved through consultation. The quality of the included studies was assessed using CASP checklists. The protocol was registered on Open Science Framework (OSF). Results: Out of 2119 records, eight studies were included. The findings indicate that the main barriers to HPV vaccination include insufficient public awareness, cultural and religious resistance, financial constraints, and limited access in rural and underserved areas. Additionally, political factors, such as low prioritization of HPV vaccination and the absence of supportive policies, were identified as significant obstacles. Multidisciplinary and cross-cultural collaboration, along with the integration of HPV vaccination into existing health programs, was suggested as a strategic approach to improve vaccine uptake. Conclusions: Barriers to HPV vaccination, including limited awareness, inadequate healthcare infrastructure, and socioeconomic factors, vary across regions but must be addressed to improve global coverage. Targeted interventions such as health education, inclusive policies, and culturally sensitive campaigns can significantly boost vaccine uptake. Strengthening local health systems and fostering international collaboration are key strategies to overcoming these barriers and ensuring equitable access to HPV vaccination. Full article

Teacher professional development (PD) programs ensure quality education, and quality education is the basis for sustainable development. However, the non-participation of mathematics teachers in PD still represents a tough challenge for several school systems and remains poorly understood. Using data from the 2011, 2015, and 2019 cycles of the Trends in International Mathematics and Science Study (TIMSS), we analyzed more than 200 national datasets to identify countries with relevant proportions of non-participation in PD and model cross-nationally the relationship between the odds of this outcome and a set of variables at the teacher and school level, including the interaction between job satisfaction and the attributes of the schools. Successive logistic regression models applied to each national dataset reveals that, in different countries, the teachers’ job satisfaction, sex, teaching experience, the completion of initial teaching training, and the schools’ attributes (i.e., location and socio-economic status (SES)) were significantly associated with the odds of non-participation in PD amongst mathematics teachers. Three cases (Lebanon and Japan in 2015, and Norway in 2019) describes opposite patterns of results for the interaction between the teachers’ job satisfaction and the type of school location (urban vs. remote rural). In Lebanon in 2019, female teachers, as well as more experienced teachers and those teachers working in deprived areas were significantly more likely to report non-participation in PD. This study underscores the importance of undertaking regular and reliable cross-national monitoring of teachers’ non-participation in PD to guide policy efforts aligned with indicator 4.c.7 of the UN’s Sustainable Development Goals framework. Full article

Sarcopenia, characterized by progressive loss of muscle mass and strength, significantly increases health risks in healthy older adults. Resistance training (RT) is believed to counteract sarcopenia through a variety of physiological mechanisms, many of which remain underexplored by public health and physiotherapy professionals. This scoping review aims to consolidate studies that have explored RT programs in mitigating sarcopenia among healthy older adults. A systematic search in four knowledge databases (Web of Science, Scopus, Embase, Cumulative Index for Nursing and Allied Health Sciences Complete) was conducted on 30 April 2024 to consolidate the evidence of RT programs to mitigate sarcopenia risk among healthy older adults. Two reviewers independently screened, consolidated, and synthesized the results based on the Arksey and O’Malley framework. We included 36 studies supporting the RT program for reducing sarcopenia risk among healthy older people. Current evidence, predominantly derived from studies with high selection bias and non-randomized designs, indicates that RT programs may enhance muscle strength in healthy older adults. However, their impact on muscle morphology and mobility appears less pronounced. The dosage and intensity of RT are critical factors influencing these health outcomes. To substantiate the health benefits of RT in healthy older adults and facilitate the translation of research findings into policy-level recommendations, further high-quality, randomized controlled trials are warranted. Full article

Acculturation is a key process in the adaptation of immigrant women to their host countries, influenced by social, cultural, and structural factors. Physical activity and sport have been identified as potential tools to facilitate this transition, promoting social inclusion and cultural adaptation. This systematic review, following the PRISMA guidelines and the Cochrane Handbook, analyzed empirical and conceptual studies published in English since 2000 from Scopus, Web of Science, SPORTDiscus, and ERIC. Inclusion criteria encompassed studies examining the relationship between physical activity, sport, and acculturation in immigrant women, while excluding non-empirical research, studies focusing exclusively on men or children, and those published in languages other than English. A total of 17 studies met the eligibility criteria. Thematic analysis revealed four key dimensions: (1) the bidirectional relationship between acculturation and sport participation, (2) gender and cultural barriers, (3) socio-economic and structural determinants, and (4) the impact on health and psychosocial well-being. The review highlights the role of physical activity in fostering social capital and integration while identifying persistent barriers such as cultural norms, economic constraints, and policy limitations. Although findings support the positive impact of these activities, further research is needed to address intersectional challenges and structural inequalities. Full article

Bamboo’s perceived potential in livelihood development has led to development interventions that aim to strengthen the bamboo industry via activities such as training participants in bamboo management, strengthening institutions, and raising awareness. Using the Campaign for Environmental Evidence’s guidelines, we systematically map the available evidence of the impact of these interventions. The evidence is scattered across peer-reviewed and grey literature, with no universal reporting standards. Search sources for this systematic evidence map include a bibliographic database, CABdirect (now known as CABI Digital Library); a search platform for peer-reviewed literature, the Web of Science Core Collection; a bibliographic database for academic literature on agriculture and related fields, SEARCH by the USDA National Agricultural Library; a public search engine for scholarly literature, Google Scholar; a general search engine, Google; and the websites of 37 organizations, with both proprietary search engines and Google used to search for pdf files. Overall, 36 documents are included in the final review, describing 28 unique interventions from 13 countries. Most evidence is found outside the peer-reviewed literature. Outcomes including income changes, increased participation and engagement, and policy changes are reported, with economic impacts dominating the evidence base. Very little evidence of negative outcomes is found, likely constrained by reporting bias. Reporting on evidence of these interventions is limited, with many interventions being excluded from the database due to a lack of identifiable evidence of outcomes or impact. Full article