Search Results (5,422)

The development of large-scale cascade hydropower complexes has improved the navigation conditions of mountainous rivers but creates unique “continuous dam zones,” presenting complex challenges for port site selection due to hydrological variability and geological risks. To address the lack of specialized evaluation tools for this specific context, this paper constructs a comprehensive evaluation indicator system tailored for mountainous reservoir areas. The proposed system explicitly integrates critical engineering and physical constraints—specifically fluctuating backwater zones, geological hazards, and dam-bypass mileage—alongside ecological and social requirements. The Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) are integrated using a Game Theory model to determine combined weights, and the Evaluation based on Distance from Average Solution (EDAS) model is applied to rank the alternatives. An empirical analysis of the Xiluodu Reservoir area on the Jinsha River demonstrates that operational efficiency, geological safety, and environmental feasibility constitute the critical decision-making factors. The results indicate that Option C (Majiaheba site) offers the optimal solution (ASi = 0.9695), effectively balancing engineering utility with environmental protection. Sensitivity analysis further validates the consistency and stability of this ranking under different decision-making scenarios. The findings provide quantitative decision support for project implementation and offer a replicable reference for infrastructure planning in similar complex mountainous river basins. Full article

Background/Objectives: Patient-level factors strongly influence antimicrobial resistance (AMR) through the pressure applied to healthcare professionals to prescribe antibiotics even for self-limiting viral infections, enhanced by knowledge and attitude concerns. This includes Africa, with high levels of AMR. However, validated measurement tools for African primary healthcare (PHC) are scarce. This study evaluated the reliability, structural validity, and interpretability of the Community Antimicrobial Use Scale (CAMUS) in South Africa. Methods: A cross-sectional survey was conducted with 1283 adults across 25 diverse public PHC facilities across two provinces. The 30-item theory-based tool underwent exploratory and confirmatory factor analysis (EFA/CFA), reliability, and validity testing. Results: EFA identified a coherent five-factor structure: (F1) Understanding antibiotics; (F2) Social and behavioural norms; (F3) Non-prescribed use; (F4) Understanding of AMR; and (F5) Attitudes. Internal consistency was strongest for knowledge and misuse domains (alpha approximation 0.80). Test–retest reliability was good-to-excellent (ICC: 0.72–0.89). CFA confirmed acceptable composite reliability (CR ≥ 0.63). Although average variance extracted (AVE) was low for broader behavioural constructs, indicating conceptual breadth, it was high for AMR knowledge (0.737). Construct validity was supported by positive correlations with health literacy (r = 0.48) and appropriate use intentions (r = 0.42). Measurement error metrics (SEM = 1.59; SDC = 4.40) indicated good precision for group-level comparisons. Conclusions: CAMUS demonstrated a theoretically grounded structure with robust performance in knowledge and misuse domains. While social and attitudinal domains require refinement, we believe the tool is psychometrically suitable for group-level antimicrobial use surveillance and programme evaluation in South African PHC settings and wider to help with targeting future educational programmes among patients. Full article

Intimate relationship stability is fundamental to human wellbeing, yet its quantitative assessment faces dual challenges: the inherent subjectivity of psychological constructs and the complexity of social ecosystems. Symmetry, as a fundamental structural feature of social interaction, plays a pivotal role in shaping relational dynamics. To address these limitations, this study proposes an innovative computational framework that integrates Fuzzy Set Theory with Social Network Analysis (SNA). The framework consists of two complementary components: (1) a psychologically grounded fuzzy assessment model that employs differentiated membership functions to transform discrete subjective ratings into continuous and interpretable relationship quality indices and (2) an enhanced Fuzzy C-Means (FCM) threat detection model that utilizes Weighted Mahalanobis Distance to accurately identify and cluster potential interference sources within social networks. Empirical validation using a simulated dataset—comprising typical characteristic samples from 10 couples—demonstrates that the proposed framework not only generates interpretable relationship diagnostics by correcting biases associated with traditional averaging methods, but also achieves high precision in threat identification. The results indicate that stable relationships exhibit greater symmetry in partner interactions, whereas threatened nodes display structural and behavioural asymmetry. This study establishes a rigorous mathematical paradigm—“Subjective Fuzzification → Multidimensional Feature Engineering → Intelligent Clustering”—for relationship science, thereby advancing the field from descriptive analysis toward data-driven, quantitative evaluation and laying a foundation for systematic assessment of relational health. Full article

Food fraud represents a growing global challenge with significant implications for public health, market integrity, sustainability, and consumer trust. Beyond economic losses, fraudulent practices undermine the environmental and social sustainability of food systems by distorting markets, misusing natural resources, and weakening incentives for authentic and responsible production. Despite the establishment of harmonized frameworks of the European Union for official controls, the increasing complexity of food supply chains has exposed persistent gaps in fraud detection, particularly for high-value products such as those with PDO (Protected Designation of Origin) and PGI (Protected Geographical Ιndication) Certification. This study investigates the perceptions, attitudes, and experiences of frontline inspectors in Greece to assess current challenges and opportunities for strengthening official food fraud controls. Data were collected through a structured questionnaire, validated by experts and administered nationwide, involving 122 participants representing all major national food inspection authorities. Statistical analysis revealed significant institutional differences in perceptions of fraud prevalence, with mislabeling of origin, misleading organic claims, ingredient substitution, and documentation irregularities identified as the most common fraudulent practices. Olive oil, honey, meat, and dairy emerged as the most vulnerable product categories. Inspectors reported relying primarily on consumer complaints and institutional databases as key tools for identifying fraud risks. Food fraud was perceived to contribute strongly to losses in consumer trust in food safety and product authenticity, as well as to the erosion of sustainable production models that depend on transparency, fair competition, and responsible resource use. Overall, the findings highlight detection gaps, uneven resources across authorities, and the need for improved coordination and capacity-building to support more efficient, transparent, and sustainability-oriented food fraud control in Greece. Full article

Air pollution represents one of the foremost environmental and public health challenges of the twenty-first century, with differentiated impacts according to the socio-economic and urban conditions of affected populations. It therefore remains necessary to integrate social and spatial factors into air quality assessment, going beyond purely physicochemical approaches. This study aims to develop a socio-environmental index to assess air quality (SAQI) based on particulate matter (PM) concentrations in two urban areas of Bogota (Colombia). The methodology is structured in three phases: (i) a global review of reported socio-environmental indices over the past decade, (ii) construction of the index via integration of environmental and socio-economic variables collected in the locality of Kennedy, and (iii) comparative validation of the index in the locality of Barrios Unidos to assess robustness and transferability. The structure of the proposed SAQI assigns 45% weight to the socio-economic dimension and 55% to environmental exposure (PM_2.5 and PM₁₀ concentrations). During the development phase in Kennedy, annual PM_2.5 concentrations were systematically found to exceed World Health Organization guidelines by factors ranging between 4.0 and 5.7 (24.5 ± 2.89 µg/m³). The comparative application in Barrios Unidos (SAQI = 12, “good”) and Kennedy (SAQI = 21.8, “acceptable”) revealed an 81.5% socio-environmental gap driven by PM concentrations up to 49.8% higher and greater social vulnerability in Kennedy. The methodological divergence compared to the local technical index—IBOCA (45.2 in Kennedy)—underscores the added value of the SAQI developed to capture effective socio-environmental risk. The SAQI developed in this work is a potential decision-making tool that guides public policies toward fairer and more equitable air quality management in urban areas of developing countries. Full article

Breastfeeding is universally regarded as the cornerstone of infant feeding, as it is the ideal infant feeding choice for optimal nutrition and development. Socio-structural factors of breastfeeding in child health play an important role in guiding women’s decisions on options to feed their babies. A cross-sectional study was conducted among mothers with infants aged 0–6 months in Mthatha, Eastern Cape, with the aim of assessing the role of socio-structural factors in shaping feeding intentions and practices among mothers with infants. Written Informed consent was obtained in accordance with the Declaration of Helsinki from the participants prior to data collection. Data was gathered with a validated designed questionnaire as well as analyzed using Social Sciences (SPSS) version 29. A total of 181 mothers were enrolled. Only 45.9% reported that they exclusively breastfed their babies, of which the highest proportion of exclusive breastfeeding (EBF) was observed among the 21–29 age group at 51.8%, and the lowest among those aged 20 years and below (3.6%). Marital status (p = 0.005) and employment status (p < 0.001) were significantly associated with exclusive breastfeeding, with higher EBF rates observed among married mothers and those who were self-employed. Both the EBF mothers and non-EBF mothers shared a common belief that colostrum was not beneficial for infants (p = 0.854), whereas their views differed significantly on the amount of water given to infants before they reached six months (p = 0.001). There was no significant relationship between EBF status and having a family member who had breastfed in the past six months (p = 0.815); also, a weak association was noted for having a friend who had breastfed recently (p = 0.057). The difference in EBF practice between those receiving antenatal care (ANC) breastfeeding education and those not receiving it was not statistically significant (p = 0.591). A statistically significant association was found between the support level and exclusive breastfeeding status (p < 0.001). This study highlights that the successful practice of exclusive breastfeeding (EBF) is strongly associated with high levels of social support. Interventions are needed to engage active partners, family members, and community members in creating a supportive environment for breastfeeding mothers. Full article

Background and Objectives: Behçet’s disease (BD) is a multisystem inflammatory disorder with significant physical, psychological, and social burdens. However, patient-reported outcomes and subjective symptom experiences remain under-recognized in clinical practice. This study aimed to provide a patient-centric analysis of the disease burden, treatment challenges, and unmet needs in BD. Materials and Methods: A multinational cross-sectional study was conducted using a structured questionnaire among 528 BD patients recruited from online support groups and a specialized clinic. The questionnaire gathered information about participants’ backgrounds, medical histories, how symptoms affected them, psychological and social factors, side effects of treatments, and their suggestions for better care. Data were analyzed descriptively. Results: The mean age of the participants was 41.4 years, and 69.3% were male. The most common symptoms that significantly affected daily life were severe fatigue (82.8%), joint pain and swelling (79.0%), and neurological issues (74.1%). Nearly half of patients perceived that fatigue (49.1%) and neurological symptoms (45.1%) were underestimated by healthcare providers. Psychological distress was prevalent, with 74.1% of participants reporting either depression or anxiety. Side effects related to treatment were frequently encountered (56.3%), resulting in treatment discontinuation for 53.4% of the individuals. The main unmet needs identified were fatigue reduction (59.1%), pain management (43.0%), and the minimization of side effects (59.1%). Furthermore, patients expressed a desire for enhanced communication (62.9%), validation of their unobserved symptoms (74.1%), and comprehensive disease education (67.6%). Conclusions: BD imposes a profound multidimensional burden, with a significant disconnect between patient experiences and their perception of clinical recognition. Fatigue, pain, psychological distress, and treatment-related challenges contribute substantially to unmet needs. A patient-centered approach emphasizing communication, symptom validation, and holistic support is essential to improving care and quality of life in BD. Full article

This study examines outcomes associated with a short-term intensive pedagogical experience aimed at developing social entrepreneurship competencies among university students at an Ashoka U–affiliated institution in Mexico. The program, Semana Tec de Agencia de Cambio, is a five-day experiential learning experience grounded in the SEL4C (Social Entrepreneurship Learning for Complexity) framework and designed to promote changemaking through interdisciplinary collaboration, reflection, and action. Using a quantitative quasi-experimental pre–post design (n = 210), data were collected through the validated Social Entrepreneur Profile (SEP), which assesses four dimensions: self-control, leadership, social awareness and social value, and social innovation and financial sustainability. Paired-samples t-tests indicated statistically significant increases (p < 0.001) across all dimensions, with small to medium effect sizes (Cohen’s d = 0.40–0.63). Multiple regression analysis showed that changes in social awareness and social value (β = 0.33, p < 0.001), leadership (β = 0.27, p = 0.004), and innovation and sustainability (β = 0.24, p = 0.006) were most strongly associated with overall changes in self-perceived competencies, explaining 58% of the variance (R² = 0.58). Overall, the findings suggest that short-term intensive educational experiences grounded in active and interdisciplinary pedagogical approaches may contribute to measurable changes in students’ self-perceived social entrepreneurship competencies. Rather than evidencing consolidated transformation, the results are best interpreted as early indicators of competency activation within changemaker-oriented learning environments. The study contributes empirical insight into the use of intensive formats in social entrepreneurship education and situates the SEL4C framework as a coherent pedagogical reference within the Ashoka U context, without implying causal validation. Full article

Background/Objectives: The rise in antimicrobial resistance is one of the major challenges to global health systems, which necessitates the development of new antibacterial compounds. The bioactive compounds of brown seaweed Sargassum duplicatum have demonstrated potential antibacterial activity. This study applied metabolomic profiling and molecular networking in combination with antibacterial screening assays to assess the antimicrobial properties of S. duplicatum extracts against multidrug-resistant bacteria. Methods: Two extraction methods, i.e., maceration and microwave extraction, were used. Therewith, untargeted metabolomic profiling was performed using Liquid Chromatography–High Resolution Mass Spectrometry (LC-HRMS). Molecular networks (MNs) were established and compound dereplication was conducted using the spectral database of the Global Natural Products Social Molecular Networking platform (GNPS). Additionally, antimicrobial assays were conducted against Gram-positive and Gram-negative bacterial strains, including multidrug-resistant bacteria, i.e., methicillin-resistant Staphyloccocus aureus ATCC 33592 (MRSA) and β-lactamase, producing Escherichia coli ATCC 35218 (TEM-1 positive strain). Result: Dereplication resulted in the prediction of six compounds with reported antimicrobial properties, i.e., 13-docosenamide, 9-octadecenamide, pheophorbide A, ouabain, sarmentoside B and AC1L1X1Z. Antibacterial screening of the extracts revealed that the ethyl acetate maceration extracts exhibited the strongest inhibitory activity, with inhibition values between 85 and 98% against S. aureus ATCC 33592. Conclusions: This metabolomics study requires further research to isolate, purify, confirm, and validate the dereplicated compounds that may have potential antibacterial activity. Full article

Background/Objectives: Meaningful social connections are critical for well-being in later life, yet older adults living with HIV frequently experience social isolation and loneliness, compounded by stigma, mental health conditions, and systemic inequities. This study aimed to explore how older adults living with HIV and a concurrent mental health diagnosis experience social isolation and cultivate meaningful relationships, situating these experiences within Social Convoy Theory. Methods: Using a Heideggerian phenomenological approach, we conducted in-depth, semi-structured interviews with 33 adults aged 50 and older in Ontario, Canada, who self-identified as living with HIV and a diagnosed mental health condition. Participants were recruited through community-engaged strategies and snowball sampling. Data were analyzed iteratively, combining descriptive and interpretive coding to identify patterns in social isolation, relational meaning, and the influence of intersecting social, structural, and health determinants. Results: Participants described social isolation as both a physical and existential experience, influenced by stigma, mental health challenges, and contextual factors such as urban versus rural settings. Meaningful relationships were characterized by authenticity, trust, emotional safety, and reciprocity, often formed within peer networks sharing similar lived experiences. Community engagement and virtual platforms facilitated connection, while rural or suburban environments often intensified isolation. Relationships providing validation, agency, and continuity of experience were particularly impactful on participants’ well-being. Conclusions: Social isolation among older adults living with HIV and mental health conditions extends beyond objective network measures to include emotional and identity-related dimensions. Interventions should prioritize affirming, context-sensitive spaces that support disclosure, trust, and reciprocal relationships, recognizing the nuanced needs of this population for both social and existential connectedness. Full article

Laboratory mice are the most widely used model organisms in biomedical and behavioral research, yet growing concerns regarding reproducibility and translational validity have highlighted the substantial influence of housing and husbandry conditions on experimental outcomes. Although domestication is often assumed to have rendered laboratory mice fully adapted to artificial environments, evidence from ethology indicates that many core behavioral and physiological needs remain conserved. As a result, standard laboratory housing may generate chronic stress, alter behavior, and introduce systematic bias into experimental data. This narrative review critically examines how ethological constraints persisting after domestication interact with key environmental factors, social housing, environmental enrichment, ambient temperature, and lighting regimes to shape welfare and experimental validity in laboratory mice. Rather than providing an exhaustive overview of mouse behavior, the review adopts a problem-oriented and solution-focused approach, highlighting specific welfare-related mechanisms that can distort behavioral and physiological readouts. Particular attention is given to social isolation and aggression in male mice, the role of nesting material in mitigating thermal stress, and the effects of circadian disruption under standard and reversed light–dark cycles. By integrating ethological theory with laboratory animal welfare research, this review argues that housing conditions should be regarded as integral components of experimental design rather than secondary technical variables. Addressing welfare-related bias through evidence-based refinement strategies is essential for improving reproducibility, enhancing data interpretability, and strengthening the scientific validity of mouse-based research. Full article

Background. Rheumatoid arthritis (RA) is a chronic autoimmune disease frequently accompanied by cardiovascular, respiratory, skeletal, psychiatric, and neoplastic comorbidities that are associated with higher morbidity and poorer health-related quality of life (HRQoL). This study evaluated the associations between comorbidities and patient-reported physical health, emotional distress, daily functioning, and social relationships in adults with RA and explored patient-reported unmet needs relevant to integrated care. Methods. We conducted a cross-sectional survey among 286 adults with physician-confirmed RA, using a structured questionnaire (ICRA-Q) administered between June and July 2025 via online platforms and in-hospital supervised completion. The survey captured demographics, patient-reported physician-diagnosed comorbidities (current and/or past), perceived disease impact, functional limitations, emotional and social consequences, access to treatment, financial burden, and support needs. Analyses included descriptive statistics, χ² tests, t-tests/ANOVA, effect sizes (Cramer’s V and standardized mean differences), and multivariable logistic regression to explore predictors of high HRQoL impact and high difficulty in disease management. An exploratory classification into high-risk phenotypes was performed using predefined clinical, psychological, and socioeconomic criteria. Results. Most participants (98.6%) reported at least one comorbidity, most commonly hypertension, osteoporosis, and cardiovascular disease. Higher comorbidity burden and depression/anxiety were strongly associated with higher pain, reduced mobility, emotional distress, and financial strain. Exploratory high-risk phenotypes (severe somatic multimorbidity, high psychological vulnerability, high socioeconomic burden, and a composite very high-risk profile) were associated with poorer HRQoL indicators. Younger age, shorter disease duration, and higher perceived social support were associated with lower perceived burden. Conclusions. In this cross-sectional, patient-reported study, comorbidity burden—particularly psychological comorbidity—was strongly associated with poorer HRQoL and greater management difficulty in RA. These findings support the need for multidisciplinary, integrated care pathways; however, subgroup phenotypes should be considered exploratory and require external validation. Full article

This study aimed to adapt and validate the Polish version of the Perceived Future Employability Scale (PFES) and verify its factor structure among university students. Drawing on Social Cognitive Career Theory and the concept of possible selves, this study analysed how students perceive their future employment opportunities. This research was conducted among 408 students (61.0% female, 39.0% male; age: M = 20.97, SD = 2.68) at Maria Curie-Skłodowska University. Exploratory factor analysis using Principal Axis Factoring with Oblimin rotation revealed a six-factor structure explaining 63.74% of total variance. Based on stringent psychometric criteria (primary loadings ≥0.50, cross-loadings <0.30), six items exhibiting weak or problematic loadings were systematically removed, yielding a refined 18-item version that maintains all 6 theoretical dimensions while improving model fit. Confirmatory factor analysis demonstrated excellent fit using DWLS estimation (CFI = 0.996, RMSEA = 0.053) and acceptable fit with ML estimation (CFI = 0.958, RMSEA = 0.062). Reliability analysis demonstrated good-to-excellent internal consistency (α = 0.756–0.903; ω = 0.754–0.893) and adequate convergent validity (AVE = 0.612–0.785). Full measurement invariance across gender was established. The final Polish PFES comprises six dimensions: perceived future network, perceived expected experiences, perceived future personal characteristics, anticipated reputation of educational institution, perceived future labour market knowledge, and perceived future skills. The PFES provides a psychometrically sound tool for career development research and interventions supporting UN Sustainable Development Goals 4 and 8. Full article

The current landscape of Environmental, Social, and Governance (ESG) ratings is fragmented by methodological inconsistencies, lack of standardization, and substantial divergences among rating providers. These discrepancies hinder comparability, reduce transparency, and undermine the reliability of ESG assessments, limiting their effectiveness for both investors and corporate decision-makers. To address these issues, this study introduces a standardized approach to ESG rating construction, aimed at enhancing the objectivity and interpretability of corporate sustainability evaluations. The methodology integrates the Global Reporting Initiative standards with the United Nations Sustainable Development Goals, thereby identifying a coherent set of key performance indicators across the ESG pillars. By relying solely on publicly available data and incorporating mechanisms for managing missing information, the model provides a transparent and reproducible framework for sustainability assessment. Its validity is demonstrated through an empirical application to firms in the financial and manufacturing sectors across Europe and the United States, with benchmarking against established ratings from providers. Rather than replicating existing ESG scores, the model offers a transparent and reproducible alternative built on disclosed performance data, without relying on forward-looking statements, corporate promises, or commercial data providers. By penalizing non-disclosure and enabling sector-specific sensitivity analysis, the framework supports more accountable and customizable sustainability assessments, helping align ESG evaluations with strategic and regulatory priorities. Full article

Background/Objectives: People suffering from mental illnesses are more likely to experience adverse social and health outcomes. Various interventions have been shown to help people with mental illness achieve better results in terms of symptom reduction, functional status, and quality of life. Psychiatric rehabilitation interventions integrate evidence-based practices, promising approaches, and emerging methods that can be effectively implemented to enhance health outcomes in this population. This study aims to examine whether the rehabilitative treatment provided to a group of patients with mental illness leads to improvements in health outcomes and psychiatric symptomatology. Methods: This study employed a retrospective quasi-experimental design. Data were collected between 2023 and 2025 within the Partial Hospitalization Program of the Psychiatry and Mental Health Service of Soria (Spain). The sample consisted of 58 participants who received rehabilitative treatment in this setting. Data were collected at the time of patients’ admission and at discharge. Gender, age, psychiatric diagnosis according to ICD-10, and the average length of stay in the rehabilitation program were assessed. The questionnaires administered were psychometrically validated scales related to heteroaggressiveness, perceived quality of life, global functioning, attitudes toward medication, and the risk of suicide. Results: A significant improvement was observed in the Global Assessment of Functioning (GAF) Scale (t = −7.1, p < 0.001), with mean scores increasing from 42.17 at admission to 69.13 at discharge. Additionally, reductions in suicidal risk and hetero-aggressive behavior were noted, alongside improvements in quality of life and treatment adherence. Conclusions: The findings highlight the effectiveness of implementing activities and programs focused on psychiatric rehabilitation processes to promote positive health outcomes. Future research directions and practical implications are discussed to support the continued development and optimization of psychiatric rehabilitation programs. Full article