Search Results (5,572)

This research explores public awareness, perceptions, and behavioral attitudes toward renewable energy in Saudi Arabia, drawing on data from a sample of 217 respondents predominantly based in the Riyadh region. The demographic profile reveals a diverse age distribution, with a notable concentration of younger participants, particularly those aged 16–25, who constituted 40.1% of the sample. Employing a descriptive survey design, the research explores key themes including environmental attitudes, economic considerations, personal behavior, media influence, and educational engagement. The findings indicate strong public support for the national transition to renewable energy, with 73.4% of the respondents expressing confidence in its potential as a primary energy source. Many of the respondents recognized both the ecological and financial advantages of renewable technologies, such as reduced emissions and job creation. The participants widely acknowledged the environmental and economic benefits of renewable technologies, such as reduced pollution and job creation. However, concerns persist regarding fossil fuel dependency, energy transition costs, and the adequacy of current educational and media efforts. The statistical analysis revealed significant associations between awareness levels and favorable attitudes toward investing in renewables. The results underscore the importance of targeted educational initiatives, strengthened communication strategies, and enhanced institutional transparency to reinforce public engagement and facilitate Saudi Arabia’s sustainable energy goals under Vision 2030. Full article

Background/Objectives: Long non-coding RNAs (lncRNAs) are integral to the regulation of viral tumorigenesis. We have previously identified that the chicken lncRNA-803, which responds to Marek’s disease virus (MDV), inhibits apoptosis in the chicken embryonic fibroblast cell line DF-1, accompanied by changes in the expression of the p53 protein. Nonetheless, the molecular mechanism of lncRNA-803 in apoptosis has yet to be elucidated. Methods: In this study, through lentivirus-mediated overexpression and knockdown experiments, we determined that the overexpression of lncRNA-803 induces elevated expression levels of murine double minute 2 (MDM2), murine double minute 4 (MDM4), tumor protein p53 (p53), and tumor protein p53 binding protein 1 (TP53BP1) within the p53 signaling pathway. Results: This modulation subsequently leads to an upregulation of B-cell lymphoma-2 (Bcl-2) expression, while concurrently resulting in the downregulation of cysteinyl aspartate specific proteinase 8 (Caspase-8), cysteinyl aspartate specific proteinase 9 (Caspase-9), Bcl-2 associated protein X (Bax), and cysteinyl aspartate specific proteinase 9 (Caspase-3) in the apoptosis pathway. In terms of its mechanism, lncRNA-803 functions as a molecular sponge for miR-6555-3p. lncRNA-803 engages in competitive binding with miR-6555-3p, thereby diminishing its inhibitory effect on MDM4. Conclusions: These results elucidate that lncRNA-803 modulates apoptosis in DF-1 cells through a novel competing endogenous RNA mechanism involving the miR-6555-3p/MDM4/p53 axis. These findings provide new insights into the molecular pathogenesis of MDV. Full article

Increasing rates of cannabis use among young adult college students is concerning, as research suggests that there may be a negative relationship between cannabis use and academic performance. The present study was conducted to investigate the relationships between cannabis use, harm reduction strategies, and college students’ grade point average (GPA). Participants (N = 125) completed an online survey that included a measure of Cannabis Use Frequency, Protective Behavioral Strategies (PBS) for Cannabis, and the New General Self-Efficacy scale. Hierarchical regressions were used to examine whether Cannabis Use Frequency or PBS for Cannabis were associated with GPA after controlling for covariates. Mediation analysis was conducted to determine whether Cannabis Use Frequency explained the relationship between PBS for Cannabis and GPA. Additionally, general self-efficacy was investigated as a potential moderator of the relationship between PBS for Cannabis and GPA. The results did not show a significant relationship between Cannabis Use Frequency or PBS for Cannabis and GPA after controlling for covariates. General self-efficacy did not significantly moderate the relationship between PBS for Cannabis and GPA. While PBS for Cannabis was indirectly related to Cumulative GPA via Cannabis Use Frequency, and its direct effect was associated with Cumulative GPA, the total effect was not significant, suggesting a suppressor effect. To our knowledge, this was the first study to investigate the relationship between PBS for Cannabis and academic performance with official GPA records. Future longitudinal studies are needed to identify strategies that may help students who engage in cannabis use succeed academically. Full article

This study illuminates fundamental questions in behavioral science through advanced machine learning methodologies applied to large-scale public opinion data. Drawing on Kahneman and Tversky’s dual-process theory and Sunstein’s nudge architecture, we employ hierarchical unsupervised clustering and supervised predictive models to detect cognitive biases—loss aversion, availability heuristic, and partisan motivated reasoning—embedded within a nationally representative survey of 5022 American respondents. Our primary methodological contribution is a hierarchical two-stage clustering framework that uncovers latent opinion structures without imposing a priori partisan categories, permitting discovery of cross-cutting cleavages invisible to conventional survey analysis. Three principal findings emerge: (1) loss aversion is empirically confirmed in prospective economic perception, with pessimists outnumbering optimists at a 1.14:1 ratio even among respondents rating current conditions positively; (2) partisan motivated reasoning produces a 13.15 percentage-point perception gap among individuals with identical financial circumstances; and (3) multi-platform digital engagement is associated with reduced partisan bias, providing evidence that challenges simple echo chamber assumptions. Crime safety perception emerges as the strongest predictor of economic bias, surpassing party affiliation, and substantiating availability heuristic dominance in political cognition. These findings carry implications for democratic accountability, platform governance, and the ethics of AI-augmented behavioral analysis in an era of affective polarization. Full article

Music therapy (MT) is increasingly being integrated into intensive care unit (ICU) settings to modulate pain, stress, and emotional dysregulation. Although clinically promising, objective biomarkers for quantifying its neurophysiological effects are still missing. In this context, the electroencephalogram (EEG) represents a valid tool to assess cortical dynamics associated with cognitive–affective engagement elicited by MT. Our study aims to evaluate the role of electroencephalography as an objective tool for monitoring cortical responses to MT in the ICU. EEGs acquired from nine burn patients undergoing MT in the ICU were considered. Signals were preprocessed to improve the signal-to-noise ratio. Then, six frequency bands (delta, theta, alpha, beta, gamma, and sensorimotor rhythm) were extracted to compute band powers and derive 37 involvement indexes, which were statistically compared across three experimental phases: before, during, and after MT. Results demonstrate that involvement indexes effectively capture neurophysiological shifts induced by MT. Significant differences were observed in 22 indexes when comparing During-MT and Post-MT phases, with 2 indexes being statistically different also when comparing During-MT and Pre-MT phases; 5 indexes differed statistically when comparing Pre-MT and Post-MT phases. These results suggest a transient cortical engagement elicited during MT in ICU settings. Our findings align with previous research reporting EEG (and certain EEG-derived involvement indexes) sensitivity to capture music-induced cognitive and emotional modulation. This confirms electroencephalography potential to objectively reflect MT effects and support its integration in multidisciplinary burn care; however, analysis on larger cohorts is necessary to validate EEG as a clinical tool in MT. Full article

Short-form video (SFV) platforms have become a central part of older adults’ digital lives, yet their psychological implications remain theoretically contested. Drawing on social empowerment theory, Self-Determination Theory, attachment theory, and the displacement hypothesis, this study examined whether different sources of social support—family, peer, and community—exert differential effects on life satisfaction through SFV engagement and social connectedness. Survey data were collected from 385 community-dwelling Chinese older adults (mean age = 70.6 years) and analyzed using bootstrapped serial mediation models with 5000 resamples. The results revealed clear source differentiation, as family support most strongly predicted SFV engagement and showed the largest total association with life satisfaction, consistent with a social empowerment mechanism. Community participation showed a weaker but still positive association with engagement, whereas peer support was unrelated to engagement. Across pathways, higher SFV engagement was associated with lower social connectedness, while greater social connectedness was associated with higher life satisfaction. However, none of the chained indirect effects reached significance, suggesting that social support influenced life satisfaction primarily through direct rather than serially mediated pathways. These findings demonstrate the importance of disaggregating social support by source and contribute to a more precise framework for understanding older adults’ digital well-being. Full article

Background/Objectives: Chronic diseases pose a major challenge for healthcare systems, requiring integrated, patient-centered approaches that combine clinical management, prevention, and self-care. Lifestyle Medicine (LM) and lifestyle in general offers complementary frameworks to address these needs. However, the potential integration of LM within community nursing—particularly through the role of Family and Community Nurse (FCN)—has not been comprehensively synthesized. This narrative review aimed to synthesize international evidence on the role of community nursing—particularly FCN—in integrating chronic care management and LM view. Methods: For quality assessment, a narrative review was conducted in accordance with the SANRA criteria to enable the integration of heterogeneous evidence and a comprehensive synthesis of this complex topic. Literature searches were performed in the PubMed–Medline database, and the final screening of references from included studies was used to identify relevant manuscripts. Primary studies published in English over the past ten years were screened and analyzed using the PICOS framework. Sixteen eligible studies were included in the final synthesis. Results: The included studies indicated that nurse-led community interventions in LM view were associated with improvements in self-management, treatment adherence, and selected clinical outcomes, such as blood pressure, glycated hemoglobin, and physical activity levels. Empowerment-based approaches and the use of digital or telehealth tools supported patient engagement and health literacy. At the organizational level, multidisciplinary collaboration, shared protocols, and professional leadership emerged as key factors in sustaining continuity and quality of care, while organizational fragmentation and limited training in behavioral counseling were commonly reported barriers. Conclusions: Community nursing, particularly through FCNs, plays a relevant role in integrating chronic care management and LM approaches, contributing to improved self-management, treatment adherence, and selected clinical outcomes. The evidence highlights the importance of empowerment-based interventions, digital support tools, and multidisciplinary collaboration in enhancing care continuity and patient engagement. Addressing organizational barriers and strengthening behavioral counseling training remain essential to support effective implementation in community settings. Full article

In an era of rapid digital transformation, brand activism has emerged as a prominent strategy through which organizations seek to signal social and environmental commitment while engaging increasingly sceptical and digitally empowered consumers. Within this context, perceived authenticity has become a critical evaluative mechanism shaping how digital brand activism is interpreted and whether it contributes to sustainable consumption and trust-based market outcomes. This study examines how perceived authenticity in digital brand activism is associated with consumer trust, attitudes toward socially engaged brands, and behavioral intentions that support sustainable consumption. Grounded in attribution theory and the authentic brand activism framework, the study adopts a quantitative, cross-sectional design based on an online survey of 240 consumers. The findings indicate that perceived authenticity is strongly associated with higher levels of consumer trust and more favorable attitudes toward digitally activist brands, reinforcing authenticity as a key trust-building mechanism in digital environments. Trust and attitudes are, in turn, positively associated with behavioral intentions such as purchasing, recommending, and willingness to pay a premium for sustainable products. However, behavioral intentions are weaker than trust and attitudinal evaluations, providing evidence of a persistent attitude–behavior gap that limits the translation of positive digital evaluations into concrete sustainable consumption outcomes. Exploratory results further suggest that the association between perceived authenticity of brand and behavioral intentions operates primarily through trust and attitudes rather than through a strong direct relationship. By clarifying these indirect pathways, the study advances attribution-based explanations of digital brand activism and contributes to research on smart innovation and digital sustainability by highlighting the role of authenticity in trust-based market outcomes. It also underscores the importance of authentic, data-informed digital strategies for fostering consumer trust, aligning brand activism with ESG principles, and supporting sustainable growth in digitally empowered markets. Full article

The rapid adoption of immersive and adaptive digital technologies is redefining sustainability education, but the mechanisms by which these technologies support perceived sustainability outcomes remain unclear. This paper models the Digital Experiential Learning Ecosystem (DELE), including simulation, AR/VR, gamification, AI personalization, and collaborative digital platforms, as a higher-order construct. It discusses its role in Perceived Sustainability Outcomes through learning engagement. Basing the study on the Stimulus-Organism-Response framework, the study hypothesizes that the digital ecosystem design can be viewed as an environmental stimulus, engagement as the organismic processing state, and Perceived Sustainability Outcomes as the developmental response. The results, obtained using Partial Least Squares Structural Equation Modeling (PLS-SEM), indicate that DELE is positively associated with learning engagement and Perceived Sustainability Outcomes. Learning engagement is found to be the leading mechanism through which digital experiential environments are converted into perceived sustainability outcomes, but a smaller yet significant direct structural relationship also remains. These findings indicate that digital transformation within the education sector creates sustainable value not only through technological sophistication but also through carefully planned engagement-based learning environments that support systems thinking, applied problem-solving, and adaptive readiness to work in multifaceted environments. The research also advances the body of research on sustainability education by developing a model of digital learning as an integrated ecosystem and by explaining the psychological and structural processes of perceived sustainability outcomes. Full article

There are numerous ways in which generative artificial intelligence (GAI) can be applied in the teaching and learning process. This paper presents one application in the Business Decision Analysis (BDA) course. BDA is considered as the most challenging course in the Graduate Study Program in Economic Entrepreneurship at the University of Zagreb Faculty of Organisation and Informatics; consequently, the teachers continuously analyse possibilities to make the course more attractive for students. The innovative teaching activity at BDA was implemented as a betting shop during the first colloquium (which accounts for 50% of the overall grade). In the activity, GAI analysed learning management system (LMS) data of students’ results (attendance, self-assessment test results, logs in the system) of the initial (pre-course) test, as well as their results of the pub quiz (activity organised a week before the colloquium as a preparatory activity). GAI analysed all the data and predicted the number of points each student will achieve. Additionally, GAI calculated the risk index, average growth (among self-assessment tests) and learning consistency for each student. Finally, GAI created a message for each student that explained what went well in their learning activity, what could be improved, and included a motivational note for the test. The rule was: if a student achieved a higher result than the GAI predicted, the teacher would buy a chocolate for that student. More than 60% percent of students achieved a higher score than was predicted. Surprisingly, exceeding the expected result was not in correlation with the risk indices determined by the GAI. Cluster analysis identified four student profiles consistent with the correlation results, showing weak overall agreement between the predicted and achieved scores, except in the male subgroup, while higher predicted scores were associated with higher average growth and lower risk indices. Qualitative analysis of the GAI application in teaching yielded positive comments, as students perceived the activity as helpful, motivating, and engaging, and would have liked more similar activities. Full article

Indoor air quality (IAQ) is a critical determinant of environmental health, yet awareness among young adults in rapidly urbanizing regions remains unclear. This study assessed knowledge, awareness, and practices related to IAQ among university students in Ras Al Khaimah, United Arab Emirates, and compared outcomes between medical and non-medical disciplines, while examining associations between knowledge levels and IAQ-related behaviors. A cross-sectional survey was conducted among 386 undergraduate students from three universities using a pre-validated, self-administered questionnaire. Overall, 52.1% of participants had heard of IAQ. Appropriate knowledge (≥60%) was demonstrated by 26.9% of students, and only 3.4% achieved high knowledge (≥80%). Medical students were significantly more likely than non-medical students to demonstrate appropriate knowledge (38.1% vs. 18.3%; p = 0.001), and female students scored higher than males (32.8% vs. 20.3%; p = 0.006). Awareness of IAQ guidelines was limited (65.3% unaware). Although 85.2% reported engaging in at least one IAQ-improving behavior, practices were mainly limited to ventilation and avoidance of indoor smoking. Higher knowledge levels were significantly associated with protective behaviors (p < 0.001). These findings indicate limited objective knowledge despite moderate recognition of IAQ importance, underscoring the need for structured educational interventions to enhance environmental health literacy. Full article

Background: Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries and one of the few solid tumors with a steadily rising incidence, paralleling global trends in obesity and insulin resistance. Its strong epidemiologic association with systemic metabolic dysfunction positions EC as a uniquely accessible model for metabolically informed chemoprevention. Methods: This narrative review was conducted through a systematic search of PubMed/MEDLINE and Embase using the following terms: “endometrial cancer” AND (“insulin resistance” OR “metabolic syndrome” OR “PI3K” OR “chemoprevention” OR “bariatric surgery” OR “metformin” OR “cellular senescence”). Searches were limited to English-language publications; no date restriction was applied for foundational molecular studies, while clinical and translational evidence was reviewed from 2000 to 2025. Additional references were identified through manual review of reference lists of included articles. Results: We examine metabolic amplification as a conceptual framework in which hyperinsulinemia, inflammatory reinforcement, and redox-epigenetic modulation intensify proliferative signaling in biologically susceptible endometrial tissue, particularly within molecular subtypes enriched for PI3K pathway activation such as tumors lacking a specific molecular profile (NSMP). Bariatric surgery offers the strongest human evidence supporting the principle that durable metabolic correction can substantially reduce EC incidence. In contrast, pharmacologic interventions including metformin, anti-inflammatory agents, and nutraceutical compounds demonstrate variable or limited preventive efficacy, and short-term biomarker modulation cannot substitute for validated reduction in cancer risk. The endometrial intraepithelial neoplasia (EIN) model provides a uniquely accessible platform for biomarker-guided intervention. Conclusions: Integration of genomic subtype classification with metabolic profiling may enable precision prevention strategies in clearly defined high-risk populations. Effective chemoprevention will require molecular enrichment, confirmation of tissue-level target engagement, and clinically meaningful endpoints, while acknowledging the translational limits of pathway-directed approaches. Full article

This study examines whether economic diplomacy—proxied by KOF-based indicators of political globalisation and economic policy openness—is associated with multidimensional sustainable development (SD) across 208 countries over the period 2000–2023. Using two-way fixed-effects panel models with Driscoll–Kraay standard errors, complemented by instrumental-variable and dynamic panel checks, we find a positive but modest within-country association between diplomatic embeddedness and Sustainable Development Goal (SDG) performance. The association is driven primarily by political globalisation—reflecting diplomatic networks, international organisation membership, and treaty engagement—rather than trade policy openness. De facto integration exhibits stronger links to SDG outcomes than de jure policy indicators. The relationship is concave, with diminishing marginal returns beyond a diplomacy proxy value of approximately 60. A latent-class framework identifies two institutional archetypes: the association is more pronounced and robust under stronger governance (71 countries), while it attenuates under weaker governance (85 countries). Goal-level estimates reveal systematic trade-offs—gains in inequality reduction (SDG 10) and innovation (SDG 9) alongside adverse associations with climate outcomes (SDG 13)—and a structural breakpoint around 2017 consistent with the onset of slowbalisation. The results suggest that diplomacy can support SD, but its payoff depends on governance capacity and the management of cross-goal externalities. Full article

Prosocial risk-taking is defined as engagement in altruistic behaviors that may have personal costs. Emerging research indicates that testosterone—a gonadal steroid hormone—is linked to behaviors aimed at promoting one’s social status. In line with these findings, we hypothesized that testosterone levels would be associated positively with prosocial risk-taking. Additionally, according to the dual-hormone hypothesis, this relationship may be moderated by cortisol. To examine these hypotheses, we administered an adapted version of the probabilistic gambling task, which included a prosocial condition. In the original task, participants were the beneficiaries of their choices; under the prosocial condition, the benefits were directed to charitable organizations. Our results revealed that, consistent with previous findings, the endogenous testosterone level was associated positively with risk-taking for personal gain. Notably, we also observed an association between the endogenous testosterone level and prosocial risk-taking. These relationships were not moderated by cortisol, meaning that the dual-hormone hypothesis was not supported. Instead, elevated cortisol independently suppressed prosocial risk-taking. Collectively, these results demonstrate that basal testosterone and cortisol levels play different roles in the modulation of prosocial risk-taking behavior. Full article

Background and Objectives: Engaging in sports activities presents several benefits but also carries a risk of injury. Performing warm-up exercises may serve as a preventive measure against sports injuries. This study explored how participating in warm-up exercises is associated with complications, subsequent injury frequency, and recovery duration among athletes with a history of sports injuries. Materials and Methods: In this study, we performed cross-sectional secondary analysis of data derived from the 2024 Sports Safety Accident Survey conducted by the Korea Sports Safety Foundation, which is a nationally administered survey based on a structured questionnaire. The survey, conducted from November 2024 to December 2024, targeted 10,000 athletes aged ≥12 years registered in 64 sports nationwide. We utilized the data of 6063 athletes who had experienced sports injuries. The collected data were analyzed using frequency analyses, chi-squared tests, and multivariate logistic regression analyses. This study was conducted as a physical activity epidemiology study to examine associations between warm-up exercise participation and injury outcomes. Results: The likelihood of complications was higher among those who responded “not really” or “neutral” regarding participation in warm-up exercises. The likelihood of injuries was higher among those who responded “neutral” or “somewhat”. Furthermore, the likelihood of prolonged recovery was higher among those who responded “not really”, “neutral”, or “somewhat”. Conclusions: Performing warm-up exercises is an essential measure for athletes with a history of injuries to safely engage in sports activities. Therefore, it is necessary to highlight the importance of warm-up exercises among athletes and to implement a safety management system to encourage consistent performance. Full article