Search Results (3,497)

Service learning (SL) is at a pivotal moment as education systems worldwide confront the challenges and opportunities posed by artificial intelligence (AI) and digital technologies. This scoping review synthesizes regional perspectives on SL and examines the barriers to its implementation in higher education. This study adopts a methodological approach widely used in prior educational research, enriched with selected PRISMA processes, namely identification, screening, and eligibility, to enhance its transparency and rigor. A total of 101 peer-reviewed articles were analyzed, using a mixed methods approach. Results are presented for six regions, Africa, Asia, Latin America, Europe, North America, and Oceania, revealing context-specific constraints, such as technological infrastructure, policy frameworks, linguistic diversity, and socio-economic disparities. Common barriers across regions include limited faculty training, insufficient institutional support, and misalignment with community needs. AI is explored as a potential enabler of SL, not as an empirical outcome, but as part of a reasoned argument emerging from the documented complexity of SL implementation in the literature. Ethical considerations, including algorithmic bias, equitable access, and the preservation of human agency, are addressed, alongside mitigation strategies that are grounded in participatory design and community engagement. This review offers a comparative, context-sensitive understanding of SL implementation challenges, providing actionable insights for educators, policymakers, and researchers, aiming to integrate technology-enhanced solutions responsibly. Full article

Sustainable energy entrepreneurs promote sustainable development by focusing more on energy efficiency. This study examines the interdependence and driving–dependent relationships among the socioeconomic factors (SEFs) influencing sustainable energy enterprises (SEEs). A mixed-methods approach is used, beginning with a literature review and expert consensus, followed by total interpretive structural modeling (TISM) and cross-impact matrix multiplication applied to classification (MICMAC) analysis. Seven key SEFs are finalized through interviews with 12 experts. Data are then collected from 11 SEEs. The study reveals that the regulatory and institutional framework emerges as the primary driving factor influencing other SEFs, including financial accessibility, market demand, technological innovation, and infrastructure readiness. Social and cultural acceptance is identified as the most dependent factor. The study proposes future research directions by identifying the United Nations sustainable development goals (SDGs) related to the antecedents, decisions, and outcomes with theoretical linkages through the Antecedents–Decisions–Outcomes (ADO) framework. The major SDGs identified are SDG 4 (education), SDG 7 (energy), SDG 9 (industry), SDG 11 (communities), and SDG 13 (climate). The study highlights that regulatory support, funding access, skill development, and technology transfer are required areas for strategic focus. Understanding the hierarchy of SEs supports business model innovation, investment planning, and risk management. Full article

Background/Objectives: Burning Mouth Syndrome (BMS) is a chronic orofacial pain disorder characterized by persistent intraoral burning sensations without visible mucosal lesions. Although its biopsychosocial complexity is increasingly recognized, cross-cultural comparison data remain limited. Methods: This cross-sectional study assessed 60 patients with BMS (30 Italian, 30 Romanian) who underwent standardized clinical, psychological, and sleep evaluations. Data collected included sociodemographics, clinical characteristics, diagnostic history, comorbidities, and symptomatology. The assessment tools used included the Numeric Rating Scale (NRS), Short Form of the McGill Pain Questionnaire (SF-MPQ), Hamilton Anxiety Rating Scale (HAM-A), Hamilton Depression Rating Scale (HAM-D), Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleepiness Scale (ESS). Statistical comparisons were conducted using Mann–Whitney U and Fisher’s exact tests with Bonferroni correction. Results: No significant differences were observed in age, sex, or body mass index. Italian patients had fewer years of education (p = 0.001), higher pain intensity (NRS, p < 0.001), poorer sleep quality (PSQI, ESS, p = 0.001), and more frequent pre-existing sleep disorders (p < 0.001). Romanian patients showed higher levels of anxiety (HAM-A, p < 0.001), longer diagnostic delays (p = 0.002), and more dysesthetic or perceptual symptoms, including tingling and oral dysmorphism (p < 0.05). Stressful events before onset were more common among Romanians (p < 0.001), while Italians more often received a correct diagnosis at first consultation (p = 0.005). Conclusions: This first cross-national comparison of BMS in Western and Eastern Europe shows that cultural, healthcare, and clinician education differences can shape symptom profiles, comorbidities, and diagnostic delays, underscoring the need for personalized, country-specific management strategies. Full article

This study explores how ethnic identity, national identity, and cultural stress interact to impact mental health among Latino youth and their parents, using the Actor–Partner Interdependence Mediation Model (APIMeM). By analyzing survey data from Latino parent–youth dyads, we assessed both individual (actor) and cross-dyadic (partner) effects of identity and cultural stress on mental health outcomes. The APIMeM framework allowed us to examine whether cultural stress mediates the relationship between identity factors and mental health. Results revealed significant actor effects, with higher levels of cultural stress associated with increased mental health distress in both parents (β = 0.65, p < 0.001) and youth (β = 0.32, p < 0.001). Ethnic identity did not demonstrate significant actor or partner effects on either cultural stress or mental health. In contrast, stronger national identity was inversely related to youth mental health distress (β = −0.11, p = 0.01) and had a significant protective partner effect on parental mental health (β = −0.16, p = 0.02). However, cultural stress did not mediate the relationship between ethnic identity and mental health. These findings underscore the importance of national identity and interdependent family dynamics in shaping mental health outcomes within Latino families experiencing cultural stress. Full article

Background/Objectives: Although people with schizophrenia appear to experience emotions like healthy individuals, previous studies suggest that their ability to engage in empathic emotional responses might be impaired. As per our knowledge, no studies in the Arab world have investigated empathy in patients with schizophrenia, which is likely due to the lack of valid and reliable measures to assess the empathy construct among Arabic-speaking people. The aim of this research is to validate the Arabic version of the Pictorial Empathy Test (PET) in patients with schizophrenia from Lebanon. Methods: A two-month cross-sectional study was carried out at the Psychiatric Hospital of the Cross during January and February of 2024. The average age of the 113 participants in this study was 57.52 ± 10.35 years and 63.5% of them were men. Data were collected through in-person interviews. A confirmatory factor analysis (CFA) was conducted using SPSS AMOS version 29. Parameter estimation utilized the maximum likelihood approach. In order to examine sex invariance in PET scores, a multi-group CFA was conducted. Measurement invariance was assessed across configural, metric, and scalar levels. Evidence of invariance was determined based on the criteria: ΔCFI ≤ 0.010, ΔRMSEA ≤ 0.015, or ΔSRMR ≤ 0.010. Results: CFA revealed that the Arabic PET exhibited a unidimensional factor structure. The PET demonstrated solid internal consistency (ω = 0.93, α = 0.93). Measurement invariance testing confirmed that the scale performed equally well across sexes. A linear regression analysis found that female sex and higher levels of alexithymia were significantly correlated with lower levels of affective empathy. Conclusions: The findings indicate that the Arabic version of the PET is a reliable and valid tool for measuring affective empathy in Arabic-speaking patients with schizophrenia. The culturally adapted and validated Arabic PET would help detect affective empathy deficits, design and implement context-tailored interventions, and encourage future research in this area in the Arab region. Future research should aim to validate the PET against behavioral tasks like the Empathic Accuracy Task to improve its ecological validity. Full article

Toxic shock syndrome (TSS) is a serious, often fatal disease, rarely occurring in dogs via infection with Staphylococcus and Streptococcus. The development of TSS is mainly dependent on the presence of bacterial toxins recognized to be potent superantigens causing the release of massive amounts of host inflammatory cytokines, notably TNF-α, progressing to high fever, hypotension, haemoconcentration, thrombosis and neutrophil and endothelial activation with multiple organ failure. Rarely, TSS is associated with erythematous and exfoliative dermatitis progressing to ulceration with extremely extensive dermo-epidermal detachment, which is often very painful. Like in humans, very little is known about the transmission and prevention of this condition. In our paper, a case of TSS-like caused by a mixed bacterial infection with Staphylococcus aureus, Streptococcus halichoeri and Dermatophilus spp. has been described in an 11 year-old, cross-breed male dog, most probably following injury due to biting and fighting. Lesions consisted of severe and diffuse ulceration on the dorsum, and bacterial culture/cytology led to the isolation and identification of Gram-positive staphylococci and streptococci associated with an intense neutrophil reaction. Dermatophilus spp. was presumed morphologically based on cytological preps, not by culture or molecular analysis. PCR demonstrated the presence of the nuc thermonucleaze gene (for S. aureus confirmation) together with the genes encoding enterotoxin H (seh), protein A (spa), toxic shock syndrome toxin TSST-1 (tst) and methicillin resistance (mecC); the exfoliative toxins (eta, etb) were detected. Clinical signs, cytology, bacterial culture and the response to systemic antibiotic therapy were compatible with a TSS-like diagnosis. The patient has completely recovered after 1 year of treatment. Full article

This study aims to analyze the effects of responsible consumption behavior on impulsive buying, and the mediating role of brand literacy in this relationship. Data collected from 524 Turkish participants using an online survey were analyzed using structural equation modeling (SEM). Responsible consumerism exhibited a negative direct effect on impulsive buying and a positive effect on brand literacy. Brand literacy, in turn, was negatively associated with impulsive buying and partially mediated the responsible consumerism–impulsive buying link. Over-consumption and impulsive buying have received considerable scholarly attention. Yet, only a small number of studies have tested whether value-driven orientations, such as responsible consumerism, can curb these impulses. Even fewer still probe the mediating cognitive role of consumer knowledge (e.g., brand literacy). Furthermore, most existing evidence comes from Western high-income settings. This study addresses that gap by empirically testing the responsible consumerism, brand literacy, and impulsive buying pathway in Türkiye, an emerging and rapidly digitalizing economy. Considering its cross-sectional nature and cultural limitations, this study recommends conducting future longitudinal studies and research in various cultural contexts. Full article

(1) Background: Domestic violence (DV), including intimate partner violence (IPV) during pregnancy and the puerperium, represents a major public health issue, significantly affecting maternal and child health. (2) Methods: This systematic review and meta-analysis, conducted according to PRISMA 2020 guidelines, aimed to identify screening tools used to detect DV and IPV among pregnant and postpartum women and to estimate DV prevalence. The protocol was published in PROSPERO in advance (CRD42023473392). (3) Results: A comprehensive literature search across PubMed, EMBASE, Scopus, and Web of Science was conducted on 1 January 2024, resulting in 34,720 records; 98 studies met the inclusion criteria. The included studies were conducted in over 40 countries, and most were cross-sectional. Commonly used screening tools included the WHO Women’s Health and Life Experiences Questionnaire, the Abuse Assessment Screen, and the WHO Violence Against Women Instrument. Meta-analyses showed that 10% of women experienced physical violence, 26% psychological violence, 9% sexual violence, 16% verbal violence, and 13% economic violence. The overall prevalence of IPV during pregnancy and the puerperium was 26%. Despite the widespread use of validated instruments, substantial heterogeneity was observed, underscoring the need for standardization. (4) Conclusion: These findings underline the urgent need to integrate routine IPV screening into maternal care pathways using validated, culturally adapted tools, ensuring women’s safety and confidentiality. Full article

Background: China has the largest number of patients with type 2 diabetes (T2D) worldwide, and the chronic complications and economic burden associated with T2D are becoming increasingly severe. Developing accurate and widely applicable risk prediction models is of great significance for the early identification of and intervention in high-risk populations. However, current Chinese models still have many shortcomings in terms of methodological design and clinical application. Objective: This study conducts a systematic review and narrative synthesis of existing risk prediction models for type 2 diabetes in China, aiming to identify issues with existing models and provide references with which Chinese scholars can develop higher-quality risk prediction models. Methods: This study followed the PRISMA guidelines to conduct a systematic search of the literature related to T2D risk prediction models in China published in English journals from October 2019 to October 2024. The databases included PubMed, CNKI and Web of Science. Included studies had to meet criteria such as clear modeling objectives, detailed model development and validation processes, and a focus on non-diabetic populations in China. A total of 20 studies were ultimately selected and comprehensively analyzed based on model type, variable selection, validation methods, and performance metrics. Results: The 20 included studies employed various modeling methods, including statistical and machine learning approaches. The AUC values of the models ranged from 0.728 to 0.977, indicating overall good predictive capability. However, only one study conducted external validation, and 45% (9/20) of the studies binned continuous variables, which may have reduced the models’ generalization ability and predictive performance. Additionally, most models did not include key variables such as lifestyle, socioeconomic factors, and cultural background, resulting in limited data representativeness and adaptability. Conclusions: Chinese T2DM risk prediction models remain in the developmental stage, with issues such as insufficient validation, inconsistent variable handling, and incomplete coverage of key influencing factors. Future research should focus on strengthening multicenter external validation, standardizing modeling processes, and incorporating multidimensional social and behavioral variables to enhance the clinical utility and cross-population applicability of these models. Registration ID: CRD420251072143. Full article

Preterm birth is a leading cause of perinatal morbidity and mortality and is particularly prevalent among socially disadvantaged female populations. This quantitative, cross-sectional study aimed to explore the prevalence of preterm birth in three segregated Roma communities in Hungary and to identify health behavior and care factors associated with its occurrence. In our study, preterm birth was defined as delivery before 37 completed weeks of gestation (i.e., <259 days). Data were collected from 231 Roma women living in three municipalities of Szabolcs-Szatmár-Bereg County, one of Hungary’s most disadvantaged regions, using a structured interview questionnaire. The participants were women aged 18–65 years. Of these, 209 had been pregnant at least once in their lifetime. The questionnaire covered socio-demographic characteristics (age, level of education, employment status, housing conditions, marital status), health behaviors (smoking, alcohol consumption, drug use, vitamin supplementation, other substance use), antenatal care attendance, and birth outcomes (preterm birth, gestational age, low birth weight, newborn status). Statistical analyses included descriptive statistics, chi-square tests, and binary logistic regression with significance set at p < 0.05. Preterm birth was significantly more common among women who smoked, consumed alcohol or drugs during pregnancy, or had vaginal infections. Drug use showed the strongest association with a 22-fold increase in risk, followed by alcohol (nearly fivefold), smoking (over threefold), and infections (threefold). Although non-attendance at antenatal care was associated with increased risk, this relationship was not statistically significant. In the multivariate logistic regression model, alcohol consumption (OR = 1.744, p < 0.01), smoking (OR = 2.495, p < 0.01), drug use (OR = 25.500, p < 0.001), and vaginal infections (OR = 4.014, p < 0.01) during pregnancy were independently associated with an increased risk of preterm birth, whereas folic acid supplementation (OR = 0.448, p < 0.05) showed a significant protective effect. These findings highlight that preterm birth is intricately linked to socioeconomic disadvantage and adverse health behaviors. Culture-specific, community-based prevention strategies are essential to reduce perinatal risks in marginalized populations. Full article

Despite advances in complex reasoning, Vision-Language Models (VLMs) remain inadequately benchmarked for safety-critical applications like childcare. To address this gap, we conduct a multilingual (English, French, Polish, Japanese) comparison of VLMs and human safety assessments using a dataset of original images from child environments in Japan and Poland. Our proposed methodology utilizes semantic clustering to normalize and compare hazard identification and mitigation strategies. While both models and humans identify overt dangers with high semantic agreement (e.g., 0.997 similarity for ‘scissors’), their proposed actions diverge significantly. Humans strongly favor direct physical intervention (‘remove object’: 64.% for Polish vs. 55.0% for VLMs) and context-specific actions (‘move object elsewhere’: 17.8% for Japanese), strategies that models under-represent. Conversely, VLMs consistently over-recommend supervisory actions (such as ‘Supervise children closely’ or ‘Supervise use of scissors’). These quantified discrepancies highlight the critical need to integrate nuanced, human-like contextual judgment for the safe deployment of AI systems. Full article

Bacterial leaf streak (BLS), caused by Xanthomonas translucens pv. undulosa, has become an intermittent yet economically significant disease of wheat in the Upper Midwest during the last decade. Because chemical and cultural controls remain ineffective, breeders rely on developing resistant varieties, yet visual ratings in inoculated nurseries are labor-intensive, subjective, and time-consuming. To accelerate this process, we combined unmanned-aerial-vehicle hyperspectral imaging (UAV-HSI) with a carefully tuned chemometric workflow that delivers rapid, objective estimates of disease severity. Principal component analysis cleanly separated BLS, leaf rust, and Fusarium head blight, with the first component explaining 97.76% of the spectral variance, demonstrating in-field pathogen discrimination. Pre-processing of the hyperspectral cubes, followed by robust Partial Least Squares (RPLS) regression, improved model reliability by managing outliers and heteroscedastic noise. Four variable-selection strategies—Variable Importance in Projection (VIP), Interval PLS (iPLS), Recursive Weighted PLS (rPLS), and Genetic Algorithm (GA)—were evaluated; rPLS provided the best balance between parsimony and accuracy, trimming the predictor set from 244 to 29 bands. Informative wavelengths clustered in the near-infrared and red-edge regions, which are linked to chlorophyll loss and canopy water stress. The best model, RPLS with optimal preprocessing and variable selection based on the rPLS method, showed high predictive accuracy, achieving a cross-validated R² of 0.823 and cross-validated RMSE of 7.452, demonstrating its effectiveness for detecting and quantifying BLS. We also explored the spectral overlap with Sentinel-2 bands, showing how UAV-derived maps can nest within satellite mosaics to link plot-level scouting to landscape-scale surveillance. Together, these results lay a practical foundation for breeders to speed the selection of resistant lines and for agronomists to monitor BLS dynamics across multiple spatial scales. Full article

Purple totomoxtle (maize husk) in native maize represents a phenotypic trait of cultural and agronomic significance within traditional Mesoamerican agroecosystems. This study evaluated the phenotypic expression of anthocyanins in vegetative and reproductive tissues of ten native maize genotypes, including inter-parental crosses derived from both pigmented and non-pigmented lines. Field trials were conducted under rainfed conditions in Chiapas, Mexico. Visual and quantitative assessments included pigmentation intensity, chlorophyll and carotenoid content, ear traits and appearance, grain health, and yield performance. Genotypes exhibiting the purple phenotype showed consistent pigment accumulation in stems, nodes, leaf sheaths, tassels, and bracts (totomoxtle), with statistically significant differences compared to non-pigmented controls. Anthocyanin content in totomoxtle increased by 30% during late developmental stages, whereas chlorophyll and carotenoid levels peaked during early vegetative growth. Pigmented materials displayed healthier grain, enhanced ear appearance, and higher yields, with the JCTM × LLMJ cross reaching 6.60 t ha⁻¹. These findings highlight the functional value of purple totomoxtle and its potential in agroecological programs aimed at resilience, genetic conservation, and integral resource utilization, providing useful criteria such as stable pigment expression and superior yield to guide sustainable reproduction strategies. Full article

This study examines whether social relationships influence moral judgment across different types of moral violations and cultural contexts. Drawing on Relationship Regulation Theory, which outlines four relational models—communal sharing, authority ranking, equality matching, and market pricing—we investigate whether moral evaluations vary depending on the relationship between the actor and the victim. Unlike previous research that primarily adopts a third-party perspective, this study uses a first-person approach, focusing on judgments made by individuals directly involved in the moral interaction. Three empirical studies were conducted: Study 1 tests the influence of social relationships on moral judgment using Chinese participants; Study 2 explores how moral judgments differ across various moral domains in relational contexts; and Study 3 compares Chinese and American participants to assess cross-cultural differences in the impact of social relationships on moral evaluation. Across all three studies, the results consistently show that social relationships significantly affect moral judgment, supporting the view that moral evaluations are shaped not only by the nature of the act but also by the relational context in which it occurs. Full article

Blastomycosis, caused by dimorphic fungi of the Blastomyces genus, is endemic to regions in North America, including the Great Lakes and other parts of Canada and the United States of America. The infection primarily occurs through the inhalation of airborne conidia from contaminated soil and decaying organic matter. Pulmonary involvement is most common, but dissemination to other organs such as the skin and bones can occur, especially in immunocompromised individuals. Diagnosis is challenging due to its clinical overlap with other diseases. Culture remains the gold-standard diagnostic method, but is time-consuming, with sensitivity ranging from 66.4% to 86%. Tissue histopathology offers quicker results but has sensitivities ranging from 36% to 85%. Antigen detection assays show high sensitivity from 76.3% to 91.3% but suffer from cross-reactivity with other fungi. PCR methods offer high specificity, with sensitivity ranging from 67.6% to 100%. In immunocompromised patients, blastomycosis is often more severe, with a mortality rate exceeding 30%. Multi-modal diagnostic approaches are crucial for accurate detection and management. Full article