Search Results (6,750)

Background/Objectives: To evaluate construct (convergent and divergent) validity and conduct confirmatory factor analysis (CFA) of the National Center on Health, Physical Activity and Disability (NCHPAD) Wellness Assessment (NWA) tool. Methods: A cross-sectional survey validation study utilizing secondary data. We assessed Spearman correlations between NWA and 36-Item Short Form Health Survey (SF-36), NWA and Godin Leisure-Time Exercise Questionnaire (GLTEQ) and NWA and Modified Fatigue Impact Scale (MFIS) scores to determine construct validity. A CFA was conducted to test the appropriateness of a three-factor model for NWA. Results: Data from 149 participants were used to assess construct validity and from 180 participants for CFA. Both correlations between NWA mental wellness domain and SF-36 mental component scores and between NWA emotional/spiritual wellness domain and SF-36 emotional well-being scores were 0.61 (p < 0.001 for both). The correlation between NWA physical wellness domain and SF-36 physical component score was −0.06 (p = 0.45). The correlations of NWA with GLTEQ overall and with health contribution scores were 0.26 and 0.30, respectively (p < 0.001 for both). The correlations of all NWA domain and MFIS subscale scores ranged between −0.42 and −0.25 (p < 0.05). The CFA model’s comparative fit index was 0.90. Conclusions: The NWA physical wellness domain did not demonstrate strong convergent validity, as mental and emotional/spiritual wellness domains did. All domains showed strong divergent validity, and CFA showed evidence supporting a three-factor model. Future efforts will emphasize refining and reevaluating the physical wellness domain until it achieves strong psychometric properties. Full article

Contemporary education increasingly emphasises transferable competencies that enable learners to analyse situations, evaluate information, and make responsible decisions. This study examined the effects of a structured educational intervention based on inquiry, problem-solving, and role-play activities on the development of decision-making competence in primary school students. A quasi-experimental pre-test–post-test design with a control group was employed. The initial sample consisted of 64 second-grade students, with final analyses conducted on 39 complete cases. Decision-making competence was assessed using a researcher-developed multidimensional scale encompassing six dimensions: identification of alternatives, justification of decisions, anticipation of consequences, autonomy, collaboration, and responsibility. The results indicated a significant improvement in decision-making competence from pre-test (M = 13.23, SD = 1.68) to post-test (M = 20.05, SD = 4.49), t(38) = 8.45, p < 0.001, d = 1.35. Additionally, analysis of covariance revealed a significant effect of group on post-test scores, F(1, 36) = 9.82, p = 0.003, ηp² = 0.21, with the experimental group demonstrating greater improvement than the control group. A 2 × 2 repeated-measures ANOVA further indicated that gains were more pronounced in the cognitive domain than in the socio-emotional domain. These findings suggest that structured classroom activities involving inquiry, problem-solving, and role-play can support primary school students’ ability to analyse situations, generate alternatives, and justify decisions, particularly within the cognitive dimensions of decision-making competence. At the same time, the more moderate gains observed in collaboration and responsibility highlight the need for sustained, interaction-based learning contexts to support the development of socio-emotional dimensions. Full article

Conceptual ambiguity in People–Place Relationships (PPR) research limits consistent operationalization and cross-context comparability, particularly in under-represented cultural settings. This study develops an integrated, context-sensitive framework for assessing PPR in residential environments and empirically examines its measurement structure. The framework is applied in Damascus as a pilot context to assess its structural validity, internal consistency, and applicability. The methodological approach comprised two stages: conceptual development and empirical validation. First, two rounds of case-study analysis derived from a prior systematic literature review synthesized environmental (social and urban) and relational (cognitive, affective, attachment) dimensions into a coherent framework. Second, the framework was operationalized and tested using survey data from 1610 residents across Damascus districts. Six first-order indices and one composite PPR index were constructed and evaluated using exploratory factor analysis and Cronbach’s alpha with item–total correlation analysis. Results demonstrate a stable multidimensional structure that integrates evaluative environmental conditions with relational processes, moving beyond emotion-dominant interpretations of attachment. The framework advances existing approaches by linking theoretical constructs to empirically tested measurement dimensions. While further validation in diverse contexts is required, the results indicate that the model provides a coherent and adaptable basis for assessing residential PPR in socio-culturally complex urban environments. Full article

Heart rate variability (HRV) has emerged as a key biomarker for assessing autonomic nervous system activity, stress, fatigue, and emotional states. With the rapid development of wearable sensor technologies, HRV analysis has expanded from clinical environments to real-world, continuous monitoring. This review summarizes current applications of HRV metrics in wearable devices, including fitness tracking, mental stress assessment, sleep quality evaluation, and early detection of physiological or psychological disorders. Recent advances in photoplethysmography (PPG)-based HRV estimation have enabled noninvasive and user-friendly measurement, though challenges remain in accuracy under motion and variable environmental conditions. We also discuss methodological considerations, such as artifact correction, data segmentation, and the integration of HRV with other biosignals for multimodal analysis. Emerging research suggests that combining HRV with metrics such as respiration rate, skin conductance, and accelerometry can enhance robustness and interpretability in dynamic settings. Finally, future directions are proposed toward personalized health analytics, emotion-aware computing, and real-time adaptive feedback systems. This review highlights the growing potential of wearable HRV analysis as a foundation for preventive healthcare and human–machine symbiosis. Full article

In recent years, Visual Education has emerged as an innovative and interdisciplinary teaching approach aimed at promoting meaningful learning through the conscious use of visual tools and languages. This educational paradigm helps to facilitate the understanding of complex concepts, translating them into clear and intuitive visual representations, while enhancing memorisation skills, critical information processing and the practical application of acquired knowledge. This systematic review, conducted according to the PRISMA (2020) protocol, analyses the most recent empirical evidence on the effectiveness of Visual Education in educational contexts. The main objective is to assess how the intentional use of visual tools—images, concept maps, educational videos, interactive digital materials, and virtual manipulatives—contributes to enhancing learning processes and developing transversal skills. Through a comparative analysis of fourteen international contributions published between 2020 and 2025, selected from the Scopus, Web of Science and EBSCO databases, the research highlights how Visual Education significantly influences the improvement of academic performance, motivation and cognitive and emotional engagement of students. The results also confirm the inclusive function of visual teaching, which can encourage participation, self-esteem and cooperation even in individuals with special educational needs. The discussion emphasises the need for the systematic integration of Visual Education into school curricula as a strategy to enhance soft skills and promote more equitable, effective learning geared towards the integral development of the individual. Full article

In this study, we examined how disinformation and trustworthy news differ in their narrative construction across nine theoretically motivated dimensions. We address the following research question: how do disinformation and trustworthy news differ in narrative organisation and epistemic grounding? We analysed 610 English-language news articles (308 pro-Kremlin disinformation and 302 trustworthy articles) covering selected international events from 2015 to 2023, using data derived from the EUvsDisinfo dataset. Narrative elements were extracted using a hybrid pipeline combining large language models and knowledge graphs, resulting in article-level representations for comparative analysis. Ordinal scores (1–5) were assigned for emotional intensity, cultural complexity, conspiracist structure, source diversity, crisis intensity, evidence support, media control, solutions orientation and memory work. Non-parametric comparisons showed significant differences in eight of these nine dimensions. Disinformation articles revealed stronger conspiracist structuring and greater meta-media hostility, as well as significantly lower source diversity, evidence support, cultural complexity and weaker memory work. Emotional intensity did not differ reliably across disinformation and trustworthy news. A simple additive NarrativeRisk score, which we designed as a transparent and interpretable summary measure, showed between-group differences in both parametric and non-parametric tests. As a univariate discrimination indicator, NarrativeRisk achieved ROC AUC ≈ 0.84. Cluster analysis identified three recurrent narrative profiles, including one dominated by disinformation, one by trustworthy news and one mixed profile. These findings indicate that disinformation is distinguished not only by factual unreliability but also by different patterns in narrative organisation. Full article

Background: Subclinical psychological symptoms—such as low mood, perceived stress, and poor sleep—affect a large portion of the population and can impair quality of life despite remaining below clinical thresholds. The gut–brain axis has emerged as a promising target for interventions that support emotional and psychological resilience. Probiotics and postbiotics are gaining attention for their potential to modulate mood and stress via microbiome-related mechanisms, but human evidence remains limited, particularly in non-clinical populations. Objectives: We aimed to assess the effects of a two-strain combination of live microorganisms alongside a two-strain combination of heat-treated inactivated microorganisms on outcomes associated with anxiety, mood, perceived stress, and quality of life in healthy adults experiencing mild stress. Methods: This study was conducted in two parts. In Part I, a randomized, double-blind, placebo-controlled study, 100 participants were randomized to receive either a blend of live microorganisms (Bifidobacterium longum CECT 7347 and Lactobacillus rhamnosus CECT 8361) or an identical placebo once daily for 12 weeks. In Part II, a pilot feasibility study, a subset of eight placebo non-responders from Part I received the heat-inactivated preparation of the same bacterial strains in a 6-week trial extension phase. For Parts I and II, the primary outcome was the change in the Hamilton Anxiety Rating Scale (HAM-A). Secondary outcomes included measures of mood (Beck Depression Inventory (BDI); Patient Health Questionnaire-9 (PHQ-9)), stress (state and trait anxiety inventory (STAI); Perceived Stress Scale (PSS)), sleep (Pittsburgh Sleep Quality Index (PSQI)), quality of life (36-item Short Form Survey (SF-36)), gastrointestinal symptoms (Gastrointestinal Symptom Rating Scale (GSRS)), salivary cortisol and microbiome modulation. Results: In Part I, there were no significant effects of the live blend on the HAM-A, indicating that the primary endpoint was not met. In addition, no significant effects were seen on the STAI or PSS scores when compared to the placebo. However, participants consuming the live blend trended toward a reduction in total PHQ-9 scores compared to placebo (p = 0.089), whilst preliminary exploratory analyses suggested an improvement in anhedonia (p = 0.045). Furthermore, there was a significant improvement in the vitality domain of the SF-36 compared to placebo (p = 0.017). On microbiome analysis, it was noted that consumption of the live blend was linked to the preservation of butyrate-producing bacteria, particularly members of the Pseudoflavonifractor genus and the Clostridium SGB6179 species. Furthermore, the abundance of B. longum species was found to be inversely associated with the total PSS Scores. In Part II, supplementation with the inactivated preparation resulted in significant within-group improvements for the vitality (p = 0.006) and social functioning (p = 0.010) domains of the SF-36 and improvements in PSS scores compared to baseline (p = 0.050). Conclusions: Supplementation with either the dual-strain live or inactivated formulations was associated with significant improvements in the vitality domain of the SF-36, whilst participants receiving the inactivated formulation demonstrated lower perceived stress and improved social functioning compared to baseline. Overall, the findings from this pilot study suggest that these two biotic consortia are well-tolerated and may be associated with improvements in measures of vitality in individuals with subclinical psychological symptoms. The subtle observations detected for stress and anhedonia suggest that further well-powered trials are needed to better characterize these findings, potentially in populations with greater baseline symptomatology. Full article

Background/Objectives: Cancer-related terminology is not merely descriptive and plays a critical role in shaping emotional responses, personal identity, and communication across clinical, social, and public spheres. Despite growing interest in the psychosocial dimensions of illness language, few studies have centered the lived experiences of individuals navigating cancer through the lens of terminology. This study explores how people living with and beyond cancer perceive, interpret, and emotionally respond to cancer-related language, focusing on the way terminology influences identity, stigma, and communicative interaction. Methods: A sequential mixed-methods design was employed. The quantitative phase involved 146 participants with a cancer diagnosis completing a structured questionnaire on preferred terminology and emotional impact. The qualitative phase followed, using open-ended questionnaires with 11 participants to deepen understanding of linguistic experiences. Thematic content analysis was used to identify patterns across narratives. Results: These findings reveal that labels such as “cancer patient” evoke strong negative emotional reactions, associated with stigma, fear, and identity reduction. Person-first and context-sensitive language was perceived as more respectful and empowering. Emotional responses to language varied widely, from fear to neutrality, shaped by speaker role, context, and time since diagnosis. Media representations were often seen as dramatizing or moralizing, reinforcing the need for communicative clarity, empathy, and education in both clinical and public discourse. Conclusions: Cancer-related language is a powerful psychosocial force. It shapes how individuals are seen and see themselves and can either reinforce stigma or foster dignity and resilience. This study highlights the urgent need for person-centered, context-aware communication practices across healthcare, media, and society. Full article

Generative artificial intelligence (AI) is increasingly integrated into sustainability-oriented entrepreneurial practices, raising important questions about its role in shaping human creativity and innovation. This qualitative study examines how postgraduate social entrepreneurship students engage with generative AI during the creativity phase of sustainable startup development. Drawing on Amabile’s componential theory of creativity, this study explores how AI is perceived to relate to domain-relevant skills, creativity-relevant processes, task motivation, and social–contextual factors. Data were collected through an AI-assisted ideation task, followed by semi-structured interviews, and analyzed using reflexive thematic analysis. The findings reveal that generative AI was perceived as supporting information access and associative thinking, while being unable to replicate human intuition and the “aha” moment associated with deep creativity. Moreover, AI was perceived to have limited influence on intrinsic motivation, which remains driven by personal values and contextual responsibility. Socially, AI was consistently described as a tool rather than a teammate, with emotional responses regarded as superficial. The study further suggests that AI may be understood as a social–contextual condition and highlights a perceived trade-off between efficiency and creativity in AI-assisted ideation. These insights extend the application of creativity theory to AI-supported sustainability contexts and offer practical implications for fostering responsible, human-centered innovation in entrepreneurship education. Full article

In the context of the aesthetic economy and the rapid development of digital intelligence, product design is increasingly required to address not only functional performance but also users’ emotional needs. However, due to the ambiguity and subjectivity of perceptual requirements, it remains difficult to accurately translate user emotions into specific design solutions. To address this challenge, this study proposes an integrated Kansei Engineering–machine learning framework for optimizing product design. First, user perceptual data are collected through questionnaires and interviews, and key perceptual imagery words are extracted using the Latent Dirichlet Allocation (LDA) model and factor analysis. Then, product design elements are systematically decomposed, and their relative importance is determined using the fuzzy analytic hierarchy process (FAHP). Based on this, a mapping relationship between perceptual imagery and design elements is established. Subsequently, the XGBoost model is employed to predict and optimize design element combinations. The optimized design schemes are further generated using AIGC technology and validated through eye-tracking experiments and subjective evaluations.The results show that the proposed method achieves high predictive accuracy (R² = 0.87) and significantly improves the emotional expression of product design. This study contributes to the integration of Kansei Engineering and machine learning by providing a data-driven approach for emotional design optimization, offering theoretical, practical, and strategic guidance for intelligent product design in industrial contexts. Full article

Social media platforms have become critical communication environments during disasters, where individuals express emotions, share information, and engage in public discourse. These platforms also reflect heterogeneous communication patterns shaped by different actor groups. However, existing studies predominantly focus on emotion classification and often overlook the combined role of actor identity and conflict dynamics. To address this gap, this study proposes an integrated AI-based analytical framework for actor-aware emotion and conflict analysis in post-disaster social media. An expert-annotated Turkish tweet dataset was constructed based on Ekman’s emotion model, including anger, fear, sadness, happiness, and surprise, along with an additional irrelevant/off-topic category and conflict-level labels. A Transformer-based model (BERTurk) was fine-tuned for multi-class emotion classification. Experimental results show that the proposed model achieves strong classification performance, with an accuracy of 0.931 and an F1-score of 0.912, outperforming conventional machine learning and deep learning baselines. Actor-based analysis reveals systematic differences in emotional and conflict patterns across groups. Scientists, journalists, and individual users exhibit higher levels of conflict and more pronounced negative emotional expressions, whereas institutionally oriented actors display comparatively balanced and supportive communication patterns. In addition, a web-based decision support system was developed to enable interactive visualization and actor-level exploration of emotional and conflict dynamics. Overall, the proposed framework provides a scalable, analytically robust approach to understanding social media discourse in disaster contexts and offers practical implications for AI-driven crisis communication and decision-support systems. Full article

This study develops and tests factor-based and holistic theoretical models to explain the relationships between Spatial Quality Satisfaction (SQS), Overall Dormitory Satisfaction (ODS), and Place Attachment (PA) in student dormitories. Data collected from 450 students residing in five state-run dormitories in Kırklareli, Turkey, via three 5-point Likert-type scales (validated by expert review and a pilot study), were analyzed using structural equation modeling, following exploratory factor analysis, confirmatory factor analysis, and Cronbach’s alpha validations. Findings from the factor-based Model 1 indicate that eight of the ten SQS factors do not significantly influence ODS and PA when considered individually, whereas “Emotional and Psychological Atmosphere” and “Flexibility of Use” emerge as key determinants. Additionally, this model reveals that ODS has a strong and positive effect on PA. Results from the holistic Model 2 demonstrate that SQS, when treated as an integrated construct, has a robust and significant effect on both ODS and PA, with ODS playing a significant mediating role in the relationship between SQS and PA. Overall, the findings suggest that students perceive spatial quality as a whole. Therefore, improving student dormitories through a holistic SQS approach is more effective in enhancing PA and ODS than interventions focused on individual spatial dimensions. Full article

The COVID-19 pandemic had a global impact on students transitioning into higher education. During quarantine measures, students often turned to social media for connectedness and peer support in an adverse time. The aim of this research was to explore the perceived impact of social media use during COVID-19 on the psychological resilience of students transitioning into higher education. Data were collected via a qualitative online survey completed by 51 students across the United Kingdom. Following a reflexive thematic analysis of the survey data, three themes were generated: (1) A challenging transition: restricted visits, remote learning, and seeking connection. (2) Facing adversity: becoming resilient in a transitional period. (3) A valued resource: social media as a facilitator of resilience. The findings suggest that social media helped students build virtual connections to overcome feelings of isolation during this transition. Several participants perceived their psychological resilience to have increased through developing strategies to regulate their emotional and mental well-being. Nonetheless, some participants believed that their psychological resilience either decreased or remained untouched. Furthermore, it was explicitly argued that social media played a facilitating role in enhancing participants’ perceived psychological resilience through operating as a ‘coping mechanism’, which fostered a sense of community and togetherness amongst like-minded students. Full article

This study investigated psychological burnout among special education teachers in Qatar and analyzed its associations with professional and social factors. Employing a descriptive–correlational design, 204 special education teachers (M age = 42.73 years, SD = 10.23) completed two instruments: an 18-item burnout scale measuring emotional exhaustion, depersonalization, and reduced personal accomplishment, and a 20-item scale assessing administrative and institutional stressors, parent- and community-related pressures, and work–life balance difficulties. Descriptive statistics revealed a moderate overall level of burnout, with emotional exhaustion as the most prominent dimension, followed by reduced personal accomplishment; depersonalization was comparatively low. Professional and social factors were also rated at a moderate level, with work–life balance difficulties exhibiting the highest mean. Multivariate analyses identified significant differences in burnout dimensions by gender, whereas age, years of experience, educational qualification, and workplace setting were not significantly associated with burnout. Multiple regression analysis indicated that the three factors collectively explained a substantial proportion of variance in burnout, with work–life balance difficulties demonstrating the strongest unique association, followed by administrative and institutional stressors and parent- and community-related pressures. These results highlight the need for organizational and relational supports, as well as policies that protect teacher time and wellbeing, to sustain special education services in Qatar. Full article

Impulsivity is a core transdiagnostic construct in adolescent psychiatry, associated with emotional dysregulation, behavioral disorders, and increased vulnerability to mental health problems. Adolescents engaged in performing arts education may experience heightened psychosocial stressors that challenge self-regulatory capacities during a critical neurodevelopmental period. Methods: This mixed-methods study examined psychosocial and family-related factors associated with impulsivity in adolescent students enrolled in drama programs. Two focus groups with 28 upper-grade students (grades 11–12) explored subjective experiences of stress, emotional overload, and family communication. Based on these findings, a 77-item questionnaire was developed and administered to 90 ninth-grade students. Impulsivity was assessed using the Barratt Impulsiveness Scale (BIS). Results: An exploratory stepwise multiple linear regression analysis identified perceived school-related stress (β = 0.370, p < 0.001), conflictual parental communication (β = 0.273, p = 0.013), and discomfort during school discussions at home (β = 0.331, p < 0.001) as significant predictors of higher impulsivity scores. Conclusions: The findings highlight the interaction between neurodevelopmental vulnerability and environmental stressors in shaping impulsivity during adolescence. These results are clinically relevant for child and adolescent psychiatry, emphasizing the importance of early psychosocial interventions targeting stress regulation and family communication to prevent the escalation of impulsivity-related psychopathology. Full article