Search Results (682)

Fire safety in high-rise buildings represents a critical challenge in the United Arab Emirates (UAE), where intensive urbanization, extreme climatic conditions, and multilayered regulatory frameworks impose unique competency demands on architects and Fire Safety Engineering (FSE) consultants. Despite this, no empirically validated competency framework exists that simultaneously addresses both professional groups and is tailored to the specificities of the UAE context. This study aimed to construct and empirically validate such a framework. A three-phase sequential exploratory mixed-method design was employed. In the first phase, a systematic literature review yielded a preliminary set of 69 competency indicators organized within a Knowledge, Skills and Attitudes (KSA) structure. In the second phase, a three-round Delphi technique with an expert panel of 18 specialists validated the set to 62 final indicators. In the third phase, importance–performance analysis (IPA) was conducted on a sample of 250 professionals actively engaged in fire safety projects across four UAE. IPA identified 16 priority competency gaps, most pronounced in digital transformation (BIM, CFD, AI; gap = 1.23), proactive client advisory competencies (gap = 1.21), and regulatory navigation and Civil Defence coordination (gap = 1.00). A counterintuitive finding emerged whereby architects systematically rated competencies higher than FSE consultants across all dimensions (all p < 0.05). Psychometric validation confirmed excellent instrument reliability (Cronbach’s Alpha > 0.95) and a theoretically consistent three-factor KSA structure explaining 70.06% of variance. The developed framework of 62 empirically validated indicators represents the first competency model of its kind for architects and FSE consultants in the Gulf Cooperation Council (GCC) region. Its findings provide a direct empirical basis for curriculum reform, Continuing Professional Development (CPD) programmes, and professional licencing standards in the UAE and across the GCC region. The study makes three original contributions: the first empirically validated UAE-specific competency framework for these professional groups; a methodological combination of Delphi, IPA, EFA, Mann–Whitney, and Kruskal–Wallis not previously applied in fire safety competency research; and empirical confirmation that 74% of indicators required original development or adaptation, demonstrating the limitations of generic international competency models in the UAE context. Full article

This study explores the multifaceted attitudes of high school students toward the use of artificial intelligence (AI) and large language models (LLMs) like ChatGPT in educational contexts. Drawing upon a tripartite model of attitudes, our research evaluates affective, cognitive, and behavioral dimensions to offer a nuanced understanding of students’ perceptions. The affective dimension assesses emotional responses to AI tools, the cognitive dimension examines beliefs about the utility and ethical considerations of AI, and the behavioral dimension evaluates actual usage patterns of AI technologies. Utilizing a newly developed survey instrument tailored for the educational context, data was collected from 93 high school students across different regions of Italy in the period that ranged from February 2024–March 2024. Exploratory factor analysis (EFA) was employed to explore the underlying structure of the survey instrument and identify underlying factors influencing AI acceptance. The analysis reveals three distinct factors—Mindful AI Learning, Embracing AI Effects, and LLM as Learning Companion, highlighting the complexity of students’ attitudes toward AI. Results indicate a cautious but optimistic reception of AI in education, offering crucial insights into Information Intelligence for enhanced learning and the design of personalized learning pathways. The study contributes to the literature by offering a novel scale to measure attitudes toward artificial intelligence, specifically focusing on both general AI and Generative AI large language models, such as ChatGPT. Moreover, it highlights the critical need for AI literacy, ethical digital learning frameworks, and robust institutional policies to bridge the digital divide. Consequently, this work is framed as a preliminary exploratory investigation. Ultimately, these findings advance our knowledge of transformative digital learning processes and inform future strategies for human–machine integration in educational systems. Full article

Background: Caregivers of long-term care (LTC) residents often face decisional conflict during unplanned hospitalization decisions. This study aimed to adapt and psychometrically validate a modified Decisional Conflict Scale (DCS) for primary family caregivers. Methods: A cross-sectional survey was conducted among 205 caregivers in 20 LTC facilities. Exploratory and confirmatory factor analyses (EFA/CFA) were performed on randomly split subsamples, and structural equation modeling (SEM) examined associations among Decision Antecedents, Decision-Making Process, and Decisional Conflict. Bollen–Stine bootstrap procedures were applied to provide robust estimates under slight deviations from multivariate normality. Given the cross-sectional design and single-sample nature of this study, the SEM findings should be interpreted as theory-informed associations rather than causal effects. Longitudinal or intervention-based studies are needed to establish temporal ordering and determine whether improvements in caregiver readiness and decision-making processes lead to subsequent reductions in decisional conflict. Results: The modified DCS demonstrated strong internal consistency and a single-factor structure (α = 0.98, factor loadings 0.83–0.90). SEM indicated that Decision Antecedents and Decision-Making Process were significantly associated with Decisional Conflict (R² = 0.68). The mediation analysis suggested that the Decision-Making Process partially mediated the relationship between Decision Antecedents and Decisional Conflict. Conclusions: The modified DCS appears to be a reliable and valid instrument for assessing decisional conflict among LTC caregivers. Findings highlight the importance of caregiver readiness, support, and communication in shaping decisional experiences. Given the cross-sectional design and single sample, results should be interpreted as associations rather than causal effects. Future research should replicate these findings in larger, diverse samples and explore short-form versions of the scale. Full article

Background: Adverse event reporting is a critical component of patient safety systems; however, nurses’ engagement in reporting is influenced not only by reporting procedures but also by broader organizational characteristics of the nursing practice environment. Although previous studies have examined reporting behaviors in various healthcare settings, limited evidence is available regarding how organizational factors influence nurses’ perceptions of adverse event reporting in post-Soviet primary healthcare systems. Objective: To examine the relationship between the nursing practice environment and nurses’ perceived benefits of adverse event reporting in primary healthcare settings in Kazakhstan and to explore the underlying factor structure of the nursing practice environment within this context. Methods: A cross-sectional survey was conducted among 468 primary healthcare nurses from six major cities in Kazakhstan. Participants were recruited through professional and educational networks using a targeted convenience sampling strategy. The nursing practice environment was assessed using the Revised Professional Practice Environment (RPPE) scale, while attitudes toward adverse event reporting were measured using the Reporting of Clinical Adverse Events Scale (RoCAES), focusing on the perceived benefits of reporting dimension. Exploratory factor analysis was performed to identify the underlying structure of the RPPE scale. Associations between EFA-derived factors and perceived benefits of adverse event reporting were examined using Spearman correlation analysis and multivariable logistic regression with adjustment for age, gender, city, and professional position. Results: Exploratory factor analysis identified three dimensions of the nursing practice environment: Professional Motivation and Teamwork, Interprofessional Conflict and Workplace Relationships, and Staffing Adequacy. Spearman correlation analysis demonstrated significant associations between all three factors and perceived benefits of adverse event reporting. Factor 1 (Professional Motivation and Teamwork) showed the strongest negative correlation with the outcome (r = −0.562, p < 0.001), followed by Factor 3 (Staffing Adequacy) (r = −0.434, p < 0.001), whereas Factor 2 (Interprofessional Conflict and Workplace Relationships) demonstrated a positive correlation (r = 0.227, p < 0.001). In the multivariable logistic regression model adjusted for age, gender, city, and professional position, Factor 1 was negatively associated with favorable perceptions of adverse event reporting (OR = 0.389, p < 0.001), whereas Factor 2 demonstrated a positive association (OR = 1.763, p = 0.002). Factor 3 and demographic variables were not statistically significant. Conclusions: The findings suggest that nurses’ perceptions of the benefits of adverse event reporting are influenced by multiple dimensions of the nursing practice environment. Exploratory factor analysis identified three organizational dimensions—Professional Motivation and Teamwork, Interprofessional Conflict and Workplace Relationships, and Staffing Adequacy—that were associated with reporting perceptions. After adjustment for demographic characteristics, Professional Motivation and Teamwork and Interprofessional Conflict and Workplace Relationships remained independently associated with perceived benefits of adverse event reporting, whereas demographic factors did not demonstrate significant associations. These findings highlight the importance of organizational conditions, communication processes, and professional engagement in shaping nurses’ attitudes toward adverse event reporting. Efforts to strengthen patient safety reporting systems should therefore extend beyond reporting procedures alone and include broader organizational strategies aimed at improving communication, teamwork, and supportive work environments within primary healthcare settings. Full article

This study investigated the influence of the National Marine Park of Zakynthos (NMP) on overall tourist satisfaction, with a particular focus on the conservation of the endangered loggerhead sea turtle (Caretta caretta). Using a quantitative methodology on a hybrid sample of 1216 respondents, the research framework was validated via exploratory factor analysis (EFA). The measurement model analyzed visitor attitudes across two primary dimensions: ecological destination factors and institutional management factors. The multiple linear regression analysis indicated that both groups of latent factors contributed significantly to tourist satisfaction (R² = 0.359, p < 0.001). The study revealed high environmental awareness among visitors, who supported spatial–behavioural restrictions and expressed a strong willingness to contribute to protection programs through monetary donations. In conclusion, the results demonstrate that strict biodiversity conservation is not a barrier but rather a critical asset that enhances the destination’s sustainable tourism value. Full article

High-density urban parks are essential spaces for residents in core urban areas for restorative experiences and routine leisure. Research on the impact of cross-density contexts on the motivational structure of park recreation remains limited. Empirical identification under a high-density Built Environment remains limited, and cross-density comparison is largely absent. This study examines five high-density parks using 583 valid questionnaires and the Recreation Experience Preference (REP) scale with exploratory factor analysis (EFA) to identify the motivational structure and motivational expression strength of park recreation. Standardized density assessment and cross-density comparison in existing studies generate exploratory hypotheses. Results identify eight motivational dimensions, explaining 62.36% of the variance. Physical well-being, nature enjoyment, relaxation and family bonding, and social connection are consistently recognized across density contexts, while escape, introspection and self-realization, learning and exploration, and autonomy and independence are more likely to emerge as independent dimensions in high-density contexts. Physical well-being and social connection appear at higher proportions in low-density contexts. This study provides direct empirical evidence on the motivational structure of urban park recreation in high-density Built Environments, exploratory evidence for understanding the potential associations between urban spatial contexts and psychological needs, and a foundation for future research in human-centered urban landscape planning and management. Full article

Background and Objectives: The neurocognitive sequelae of COVID-19 have attracted attention as part of post-COVID condition (PCC), yet standardized tools for screening and quantifying PCC-related cognitive impairment remain scarce. The present study aimed to develop and validate the Screening for Neurocognitive Abilities Post-COVID (SNAP-COVID), a self-report questionnaire designed to capture current symptom burden and perceived changes in cognitive functioning relative to pre-COVID status in a Greek-speaking sample. Materials and Methods: Data collection occurred in three phases between August 2024 and February 2025. Dataset A (N = 27) was used for test–retest reliability. Dataset B (N = 300) was used for exploratory factor analysis (EFA), reliability testing, and convergent validity analyses with the Brain Fog Scale (BFS). Dataset C (N = 317) was used for independent validation through confirmatory factor analysis (CFA). Results: Initial EFA of the 30-item SNAP-COVID scale suggested a four-factor model, yet further item refinement yielded a robust three-factor, 24-item solution: (1) General Cognitive Functions (17 items, α = 0.948), (2) Sensory Hypersensitivity (4 items, α = 0.829), and (3) Language and Communication (3 items, α = 0.950). The total scale demonstrated excellent internal consistency (α = 0.95). Convergent validity was evident by significant correlations between SNAP impact scores and BFS scores (r = −0.442, p < 0.001). CFA confirmed the three-factor structure with acceptable fit indices (χ²(249) = 677.29, p < 0.001; CFI = 0.882; TLI = 0.869; RMSEA = 0.074; SRMR = 0.032). Conclusions: The SNAP-COVID scale is a reliable and valid instrument. Its multidimensional structure captures global and domain-specific difficulties, addressing a critical gap in post-infectious cognitive assessment. Full article

MNOs are increasingly adopting 5G Fixed Wireless Access (FWA) to meet household demands for high-performance services. This study evaluated the adoption and quality of experience (QoE) of 5G FWA through a multi-phase study. First, it utilized a systematic literature review to develop a structural equation modeling (SEM) framework. Second, questionnaire surveys from 42 industry experts and 52 end-users were administered to identify quality of service (QoS) and user experience (UX) factors. Finally, the SEM analysis showed that UX was not transferable between FTTx and 5G FWA, as the correlation (y = −0.052, t-value= −0.10) was statistically insignificant. The technical QoS FTTx does not influence how users perceive the technical QoS 5G FWA (y = −0.02, t-value = −0.12). Bandwidth and quality are the most critical drivers for 5G FWA success regarding UX, whereas latency, MoS, and throughput are vital for QoS. Exploratory Factor Analysis (EFA) for the UX and QoS parameters of 5G FWA showed strong internal consistency across all identified factors. The framework with fit indices reflected excellent model QoS (RMSEA = 0.08, CFI = 0.973, TLI = 0.965, CMIN/DF = 1.254 and GFI = 0.782) and UX (RMSEA = 0.08, CFI = 0.895, TLI = 0.881, CMIN/DF = 1.377 and GFI = 0.655). The mathematical SEM model provides empirical evidence of the role of the service factor as an observed parameter and introduces a validated theoretical framework QoE-SEM; this study assists decision-makers in the telecommunications industry in formulating strategic models for upcoming 5G FWA. Full article

Relationships are a fundamental foundation of human development, shaping developmental trajectories, well-being, and health, yet their psychological assessment remains challenging. Youths’ perceived closeness to others has been linked to a range of prosocial outcomes but has been less extensively examined in research studying problematic developmental outcomes, such as conduct problems. Further, most studies have focused on a single relationship, which ignores the potential importance of determining the extent to which youth’s perceptions of closeness extend beyond immediate social groups. The present study addressed these gaps by examining the factor structure and construct validity of an expanded measure of perceived closeness that includes a broader range of relationships, labeled the Perceived Closeness to Others Questionnaire (PCtO). A sample of 426 middle school students (216 girls; M age = 12.90 (0.91) years) was recruited and completed a visual measure of perceived closeness that utilizes visual images of pairs of circles (i.e., one indicating “the Self” and one indicating “the Other”) at different distances (i.e., from very far away to almost completely overlapping) to indicate how close they feel to others. Participants also completed self-report measures assessing a range of prosocial and problematic outcomes. An exploratory factor analysis (EFA) suggested that, despite assessing a wide range of relationships, the measure seemed to be capturing a unidimensional construct. Further, scores from the measure showed adequate reliability and were positively correlated with all the measures of prosocial outcomes and with all but one measure of problematic outcomes (i.e., conduct problems). Overall, the findings provide initial support for a measure of psychological closeness suitable for use in research with youth. This tool may help advance theories of prosocial and antisocial development and guide interventions aimed at enhancing youths’ relationships with others. Full article

Earthquake-induced infrastructure disruption can delay emergency response and prolong recovery, yet many post-earthquake damage studies either focus primarily on superstructures or examine individual infrastructure sectors separately. This study presents a questionnaire-based expert assessment of earthquake-induced damage factors and mitigation measures in urban infrastructure systems. Fourteen damage factors and seventeen mitigation measures were identified through a structured literature review and evaluated by 424 technical experts using a five-point Likert scale. The responses were analyzed using reliability analysis, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), the Relative Importance Index (IRI), and Pearson correlation analysis. The dataset showed high internal consistency (Cronbach’s alpha = 0.926), with KMO = 0.941 and a significant Bartlett’s test (p < 0.001), confirming its suitability for factor analysis. EFA and CFA grouped the damage factors into three dimensions: Post-Earthquake Intervention Challenge (PEIC), Health Food Water Security (HFWS), and After-Earthquake Preparedness (AEP). IRI results ranked PEIC as the highest-priority expert-perceived factor group (average IRI = 90.61%), followed by HFWS (88.32%) and AEP (85.10%). Pearson correlations indicated that resilient network and pipeline infrastructure, resource diversification and redundant distribution capacities, regular maintenance and inspection, strategic stockpiles, site-selection reassessment, slope stabilization, and early warning systems were strongly associated with one or more factor groups (r > 0.60; p < 0.001). The findings should be interpreted as expert-perceived priorities rather than objective damage probabilities; nevertheless, they provide a structured basis for preliminary prioritization of urban infrastructure resilience measures in earthquake-prone contexts. Full article

Background/Objectives: To develop and validate a multidimensional risk assessment scale for identifying patients at risk of peripheral venous catheter (PVC)-associated phlebitis. Methods: This methodological study followed a two-phase design. In Phase 1 (scale development), an initial item pool of 39 candidate items was generated from a focused literature review and refined using the Lawshe technique with 20 expert raters. Data were collected from 729 hospitalized patients, who contributed 1008 PVCs between February and September 2021. Because the scale items are catheter-level, the PVC was the unit of analysis: 502 PVCs (from 380 patients) were used for exploratory factor analysis (EFA), and 506 PVCs (from 349 patients) for confirmatory factor analysis (CFA). In Phase 2 (clinical application), the finalized scale was administered to a separate, independent cohort of 208 patients between September and October 2021 alongside the Infusion Nurses Society (INS) Phlebitis Scale. Reliability was assessed using the Kuder–Richardson 20 (KR-20) coefficient, and discriminative performance was evaluated with Receiver Operating Characteristic (ROC) curve analysis. Results: EFA and CFA confirmed a three-factor structure comprising 14 items distributed across Individual, Chemical, and Mechanical risk domains. The instrument demonstrated strong internal consistency (KR-20 = 0.823) and excellent discriminative accuracy (AUC = 0.898), with an optimal cut-off of 20.5 (sensitivity 87%, specificity 91%). All CFA fit indices met the conventional acceptability thresholds (χ²/df = 3.249; GFI = 0.943; AGFI = 0.914; CFI = 0.942; NFI = 0.919; IFI = 0.943; TLI = 0.925; RMSEA = 0.067). In Phase 2, scale scores correlated significantly with the INS Phlebitis Scale (r = 0.794, p < 0.001). Conclusions: The Risk Assessment Scale for PVC-Associated Phlebitis is a valid and reliable instrument with strong psychometric properties. It enables early identification of high-risk patients and supports targeted preventive strategies in clinical practice. Full article

Background: Autonomy in decision making is a critical component of respectful, person-centered maternity care. The Mother’s Autonomy in Decision Making (MADM) scale has been widely used internationally to evaluate women’s perceptions of autonomy during perinatal period. Objectives: To assess the reliability and validity of the Greek translation of the MADM questionnaire among postpartum women who have given birth in hospitals and clinics in Greece. Methods: A cross-sectional study was conducted with 450 postpartum women who gave birth in public and private maternity facilities in Greece. Participants completed the Greek MADM scale, and statistical analyses included exploratory and confirmatory factor analysis (EFA/CFA), internal consistency (Cronbach’s alpha), test–retest reliability (intraclass correlation coefficient, ICC), criterion validity (correlation with the Birth Satisfaction Scale (G-BSS), and Rasch analysis. Results: EFA revealed a one-factor structure explaining 77.6% of the variance (KMO = 0.913; Bartlett’s p < 0.001). CFA supported good model fit (CFI = 0.924, RMSEA = 0.085). The Greek MADM showed excellent internal consistency (Cronbach’s α = 0.951) and test–retest reliability (ICC = 0.995). Criterion validity was supported by moderate correlations with G-BSS subscales (r = 0.338–0.389, p < 0.005). Rasch analysis confirmed unidimensionality, high item reliability, and acceptable item fit. A cut-off score of 27.5 on the MADM scale was identified to distinguish between high and low–moderate birth satisfaction. Conclusions: The Greek version of the MADM scale demonstrates excellent psychometric properties and is a valid, reliable tool for assessing autonomy in maternity decision making. Its use can enhance quality assessment and promote respectful, autonomy-supportive perinatal care in Greek healthcare settings. Full article

Building Information Modeling (BIM) implementation is increasingly adopted in the architecture, engineering, and construction (AEC) industries. However, its integration into the academic curricula in developing countries remains limited. Therefore, this study aims to investigate the barriers to integrating BIM into the curricula of civil engineering in Jordanian higher education institutions (HEIs). A quantitative approach was used, including Exploratory Factor Analysis (EFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM). The data was collected from 102 respondents, including industry professionals and academics. Six key barrier constructs were identified: support, standards, delivery, resources, knowledge, and infrastructure and security. Altogether, they explain 66.896% of the BIM integration barriers. The results of the structural model indicate that institutional and governmental support is the most critical barrier (β = 0.486), followed by the lack of standards (β = 0.206) and curriculum-delivery constraints (β = 0.166). Other barriers, including infrastructure and security-related factors, knowledge gaps, and resource limitations, were found to have statistically significant effects on BIM integration. The findings revealed that the barriers to integrating BIM into civil engineering curricula in Jordanian HEIs are institutional and systemic rather than purely technical or resource-based. This study contributes to the BIM education literature by developing one of the first empirically validated PLS-SEM models to investigate barriers to integrating BIM curriculum in Jordan and in developing countries. This research is distinct from previous descriptive studies by prioritizing the institutional, technical, and curricular barriers to the integration of BIM into civil engineering education. Practically, the research provides a specific roadmap for Jordan to integrate BIM into curricula through improving the collaboration between HEIs and the Jordan Engineering Association, strengthening the accreditation standards, enhancing the support of the government for digital construction education, and endorsing the partnerships between HEIs and the industry to align the graduates with the needs for digital transformation of the construction sector in Jordan. Full article

Psychosocial factors are associated with the well-being of university students, influencing their academic demands, degree of autonomy and control, and perceived support within their learning environment. Based on the demand–control–support model, the Questionnaire of Psychosocial Factors in University Environments (CFPAU, for its acronym in Spanish) was developed. This newly created instrument was designed to assess risk and protective factors in university students. This study included a total sample of 1221 Mexican students from two public universities in Mexico. The samples were randomly divided into two equivalent groups. Exploratory factor analysis (EFA) was performed on the first group (n₁ = 611), and confirmatory factor analysis (CFA) was performed on the second group (n₂ = 610) via the diagonally weighted least squares (DWLS) method. The final structure consisted of 5 global dimensions and 13 specific subscales, including psychological demands, active study and professional development opportunities, institutional quality and social relationships, recognition and career certainty, and school–life conflict. The CFA results showed adequate fit across the five dimensional models (CFI range = 0.921–1.00; TLI range = 0.910–1.00; RMSEA range = 0.000–0.065; SRMR range = 0.003–0.072). Factorial invariance by sex showed stability in the configural, metric, and scalar models, and subscale reliability was adequate (α and ω = 0.71–0.90). Furthermore, convergent and divergent validity were verified through correlations in the expected direction via the WHO-5 and DASS-21. These findings support the structural validity and internal consistency of the CFPAU, confirming its usefulness in identifying psychosocial risk and protective factors in university students. Full article

This paper explores the importance of local food in tourism development in the Republic of Srpska by analyzing the perceptions of hospitality employees in relation to the characteristics of the food service establishments in which they work. The aim of this study is to determine how local food influences tourism development and whether such effects are conditioned by specific factors. Although previous studies have extensively examined local food through the lens of consumer behavior, there remains a significant research gap regarding the internal perspective of hospitality employees as co-creators of the gastronomic experience. This study addresses that gap by applying Social Exchange Theory (SET) to explain how employees’ perceptions of economic, social, and environmental benefits shape their willingness to support the integration of local food. By placing employees at the center of the analysis, the paper provides insight into the mechanisms through which authentic ingredients are transformed into symbolic capital and strengthen destination identity. In this context, the analytical Local Food model was adapted and applied to a sample of 480 respondents, evenly distributed across the mesoregions of the Republic of Srpska. Using exploratory factor analysis (EFA), three key dimensions of influence were identified—economic, environmental, and social. In addition, independent-samples t-tests and one-way analysis of variance (ANOVA) confirmed that employees’ perceptions vary significantly depending on the production capacity of the establishments, whereas the type and location of the establishments were not identified as significant determinants of these differences. The findings further indicate that the intensity of these factors varies according to location, production capacity, and ownership type, while other characteristics of the hospitality establishments in which the respondents were employed were not found to be significant. A strong interrelationship among the identified factors was confirmed, with the social factor emerging as the most dominant. Overall, the findings highlight the importance of local food in strengthening the tourism attractiveness and sustainability of the hospitality sector in the Republic of Srpska. Full article