This study investigates how Healthcare Delivery Configuration (HDC) impacts Patients' Perceived Service Quality (SQ) in smart healthcare environments, specifically examining the mediating role of Patient Trust (PT) and the moderating influence of Secular Rationality (SR). A cross-sectional survey yielded 465 valid responses from tertiary hospital patients in Nanning, China. Data were analyzed using SPSS and AMOS, employing Confirmatory Factor Analysis (CFA) for validation and Structural Equation Modeling (SEM) with bootstrap sampling to test mediating and moderating effects. Results indicate that HDC significantly and positively predicts SQ. Patient Trust serves as a partial mediator, explaining approximately 20% of the total effect. However, the moderating effect of Secular Rationality was not statistically significant, suggesting that institutional efficiency builds trust across diverse individual value orientations. The study confirms a synergy between "hard" technical configuration and "soft" psychological trust. In high-stakes public healthcare, robust institutional design possesses a universal capacity for trust-building that transcends individual rational orientations. Hospital administrators should prioritize optimizing intelligent resource scheduling and transparency. Since individual rationality did not significantly moderate outcomes, implementing standardized, equalized smart healthcare strategies is essential for enhancing regional service quality.

This study examines the effects of perceived usefulness (PU), perceived ease of use (PEOU), and trust (TRUST) on online sales performance (OSP) in the refrigeration product sector in Hanoi, Vietnam, within the context of digital transformation and e-commerce growth. Using primary data collected from 350 employees working in firms engaged in online sales, the study applies reliability analysis, exploratory factor analysis (EFA), and multiple regression using SPSS. The results indicate that all three factors have significant positive effects on OSP (p < 0.05), with perceived usefulness exerting the strongest influence (β = 0.353), followed by perceived ease of use (β = 0.224) and trust (β = 0.156). The model explains 37.4% of the variance in online sales performance (R² = 0.374). These findings highlight the importance of enhancing functional value, usability, and trust in digital platforms, particularly for high-value products such as refrigeration appliances. The study contributes to the literature by extending TAM and trust theory to a specific product category in an emerging market. Managerial implications suggest that firms should prioritize user-centered design, transparent service policies, and AI-enabled digital solutions to improve online sales performance. Future research should explore additional determinants and apply more advanced analytical approaches.

To investigate the direct effects of Upper Respiratory Tract Infection and Adenoid Hypertrophy on Allergic Rhinitis, and to examine the mediating role of a harsh environment in these relationships, a quantitative cross-sectional study was conducted. Data were collected from 387 valid respondents using standardized questionnaires. Descriptive and correlation analyses were performed with SPSS 26.0, while AMOS 24.0 was used to construct a structural equation model to test both direct and mediating effects. Results showed that Upper Respiratory Tract Infection, Adenoid Hypertrophy, and a harsh environment each had significant direct positive effects on Allergic Rhinitis. Importantly, the harsh environment partially mediated the relationships between the two pathological factors (infection and hypertrophy) and Allergic Rhinitis. This suggests that these factors not only directly worsen the condition but also indirectly exacerbate it by increasing susceptibility or exposure in poor environmental conditions. The study confirms an interaction between individual pathological status and environmental factors in Allergic Rhinitis, establishing a combined pathway that amplifies disease severity. Prevention and treatment strategies should adopt an integrated medical and environmental approach. Clinically, proactive management of infections and hypertrophy is essential. At the public health level, improving environmental quality is fundamental to controlling the disease at its source.

The increasing use of generative AI in higher education has raised concerns about how instructional guidance shapes students’ learning experiences. While AI tools are becoming widely accessible, uncertainty regarding acceptable use may influence satisfaction, learning anxiety, and trust. This study examined the effects of explicit generative AI usage guidelines in undergraduate general education courses using a quasi-experimental design. Students were divided into an experimental group (n = 150) that received explicit AI usage guidelines and a comparison group (n = 147) that did not. Independent-samples t-tests revealed statistically significant differences across all measured variables. Students in the experimental group reported significantly higher overall course satisfaction (t = 5.34, p < .001), greater course understanding (t = 5.21, p < .001), and higher instructor trust (t = 5.67, p < .001). Furthermore, they experienced significantly lower perceived assignment burden (t = −4.32, p < .001) and learning anxiety (t = −4.11, p < .001). These findings indicate that the educational impact of generative AI depends less on technology availability than on pedagogical framing. Explicit guidelines serve as instructional anchors that support clarity, trust, and psychological stability in higher education.

This research examines the components of digital citizenship competency and evaluates the priority development needs among secondary school administrators within Provincial Administrative Organizations in Northeastern Thailand. Using a quantitative survey design, data were gathered from a stratified random sample of 582 educational personnel. The instrument assessed current and ideal states across five key domains: Digital Ethics, Communication, Literacy, Security, and Participation. Data analysis involved calculating means, standard deviations, and the Modified Priority Needs Index (PNI). Results indicated that the overall current competency level was moderate (3.36), while the desired level was at the highest (4.60). Notably, Digital Literacy was identified as the most urgent area for development (PNI = 0.44), followed by Digital Security and Digital Ethics. Conversely, Digital Communication and Participation showed lower priority indices. These findings highlight a significant gap in technical and normative skills compared to interaction skills. Therefore, strategic policies should focus on improving digital literacy, security, and ethical foundations to better empower educational administrators amid ongoing digital challenges.

With the rapid development of brand-hosted live streaming, the live commerce ecosystem has shifted from a super-streamer-dominated model to a more decentralized, brand-driven approach. Drawing on the Stimulus–Organism–Response (S-O-R) model and Brand Co-Creation Theory, this study aims to examine how entertainment in brand-hosted live streaming influences consumer deep engagement through immersive experience, while also testing the moderating roles of knowledge level and psychological ownership. A quantitative survey was conducted, yielding 544 valid responses, and multiple regression analysis was employed to test the proposed hypotheses. The findings indicate that entertainment has a significant positive effect on consumer deep engagement. Immersive experience plays a mediating role in this relationship. Moreover, knowledge level and psychological ownership significantly moderate the relevant pathways. This study extends the application of the S-O-R framework in the context of brand-hosted live streaming and provides practical implications for optimizing entertainment-oriented strategies to enhance consumer deep engagement.

This study identifies and measures the key governance factors influencing fraud prevention effectiveness within non-financial listed joint-stock firms in Vietnam, emphasizing the role of corporate governance in safeguarding organizational reputation and sustainability. Using a quantitative approach, data were gathered via a structured questionnaire from 467 valid respondents. Regression analyses were performed using SPSS 22 and SmartPLS 3.0 to assess the determinants of fraud prevention effectiveness. The results indicate that all five components of the internal control system, control environment, risk assessment, control activities, information and communication, and monitoring, significantly impact fraud prevention. Additionally, audit quality (AQ) and internal auditing (IA) demonstrate positive and statistically significant effects on mitigating fraud risks. The research underscores that robust internal controls, high audit quality, and active internal auditing are critical pillars for effective fraud risk management in the Vietnamese corporate context. Firms are advised to strengthen their internal control frameworks and prioritize investments in internal audit processes. Furthermore, enhancing professional training and audit quality is essential for improving fraud prevention effectiveness and long-term firm performance.

In the context of ongoing educational reform in Vietnam, STEM education has emerged as a significant direction in mathematics teacher preparation. This study investigates the current state and effectiveness of developing STEM competencies among pre-service mathematics teachers through an experimental–control pre-test–post-test design conducted at Hai Duong University (Hai Phong, Vietnam). The participants included over 200 undergraduate students majoring in Mathematics Education from cohorts K13, K14, and K15 who engaged in STEM-integrated course modules. Data were collected through questionnaires, classroom observations, analysis of learning products, and competency assessments. The findings indicate significant improvements in students’ STEM competencies after the intervention, particularly in real-world problem solving, the design of integrated instructional activities, and the application of technology in mathematics teaching (p < 0.05). Nevertheless, some students continued to face challenges in meaningfully integrating mathematical concepts with scientific and engineering contexts. The study provides empirical evidence supporting the implementation of STEM-oriented instructional models in mathematics teacher education and offers recommendations to enhance STEM competency development in university-level teacher preparation programs.

This study investigates the regime-dependent effects of exchange rate movements on stock market performance in Nigeria from 1999Q1 to 2023Q4 using a Markov-Switching Vector Autoregression (MS-VAR) framework. The primary objective is to assess how the relationship between the Real Effective Exchange Rate (REER) and the All-Share Index (ASI) varies across different economic regimes. Preliminary analysis revealed a strong positive correlation (0.796) between REER and ASI, with both series being non-stationary at levels but integrated of order one. The MS-VAR model identified two distinct regimes: Regime 1, a stable state with 94.5% persistence representing normal economic conditions, and Regime 2, a volatile state representing short-term economic stress. In Regime 1, exchange rate movements positively influenced stock market performance (coefficient = 0.056), while in Regime 2, the impact was stronger (coefficient = 0.079). Impulse response analysis indicated that exchange rate shocks exert their highest effect on the stock market in the short term (0.047), diminishing to 0.022 in the long term. The findings underscore the importance of considering economic regimes in understanding the exchange rate–stock market nexus, offering insights for policymakers, investors, and financial analysts in managing market risks.

The article presents a theoretical and methodological substantiation of the Bimodal Classification of Natural Specializations (CNS-B) and its comparative analysis with the Myers–Briggs Type Indicator (MBTI). The study aims to identify fundamental differences between the phenomenological description of personality preferences in the MBTI and the neurophysiologically grounded CNS-B model, which is based on the principle of alternative paired regulation of activity. The methodological approach used in the CNS-B allows for a strict separation of the cognitive and functional-regulatory levels of description. The CNS-B introduces and theoretically substantiates the concepts of natural and artificial activity specializations. The main results include a structural representation of the CNS-B through four dichotomies forming 16 integral natural specializations, and their comparison with MBTI types. It is demonstrated that the instability of typing in the MBTI is explained by its sensitivity to compensatory behavioral profiles, whereas the CNS-B captures a stable neurophysiological foundation. A comparative analysis of the 16 integral CNS-B specializations and MBTI types reveals partial and asymmetric correspondence, highlighting the limitations of the phenomenological approach. The conclusion substantiates the possibility of using the CNS-B as a metatheoretical framework for interpreting and refining the results of dichotomous typologies.