Edelweiss Applied Science and Technology
It is a interdisciplinary journal that is indexed by Scopus/Scimago and Google Scholar. Impact Scopus Indexed Scimago (Q4) 1.952 2yr mean citedness (OpenAlex)
Optimizing AI user experience: Analyzing the impact of trust, engagement, and emotional satisfaction using multiple linear regression
This study examines the effects of trust in AI, happiness from AI interactions, user engagement, AI-influenced purchase intention, and reliance on AI on overall AI user experience. Using a multiple linear regression model and survey data from 200 AI users in Vietnam, the results show that all five factors significantly influence AI user experience (p < 0.001). Among them, happiness from AI interactions emerges as the strongest predictor (β = 0.336), highlighting the critical role of positive emotional responses. Engagement (β = 0.266) and reliance on AI (β = 0.253) also show substantial effects, indicating that frequent interaction and reliance on AI enhance the user experience. Trust in AI (β = 0.230) contributes significantly, emphasizing the importance of transparency and reliability in AI systems. In contrast, AI-driven purchase intention (β = 0.189) shows a weaker influence. The findings underscore the importance of human-centered and ethical AI design. Future research should explore cross-cultural variations and the ethical implications of AI reliance.
Developing a set of indicators to measure higher education service quality management using a multicriteria decision-making approach
The rapid expansion of higher education worldwide, particularly in developing countries such as Vietnam, has intensified concerns regarding transparency, accountability, and service quality in academic institutions. As higher education increasingly adopts a service-oriented perspective, there is a growing demand for systematic and robust tools to assess and enhance higher education service quality. This study aims to develop a multidimensional set of indicators for higher education service quality management using a multicriteria decision-making (MCDM) approach. A weighted score aggregation technique was employed to synthesize expert judgments and determine the relative importance of standards and sub-criteria, which were subsequently validated using SPSS. The resulting framework comprises 10 standards and 50 detailed criteria. The findings reveal that Curriculum quality and Institutional Responsiveness are perceived as the most critical standards, whereas Tuition and Fees and Institutional Leadership receive the lowest normalized weights. Although important, these dimensions tend to function as enabling conditions rather than direct drivers of perceived service quality. The Analytic Hierarchy Process (AHP) results further confirm the internal coherence of expert judgments through acceptable consistency ratios. Overall, the study contributes to theory and practice by providing an evidence-based instrument for evaluating and improving service quality in Vietnam contexts.
Parental involvement and M-learning adoption in distance higher education: Structural equation analysis
This work examined the utilization of mobile learning (m-learning) among distance learning undergraduates and the influence of parental involvement on its usage. The study is underpinned by the Technology Acceptance Model (TAM). It employed a descriptive survey research design that surveyed 676 distance learning students in Southwest Nigeria through an online questionnaire titled “Parental Involvement on M-learning Utilization Questionnaire.” Data were collected over eight weeks and analyzed using PLS-SEM in SmartPLS 4. The study revealed that attitudes towards m-learning significantly influence its use among distance-learning undergraduates. Additionally, perceived ease of use positively influences attitudes, perceived usefulness, and m-learning usage, while perceived usefulness influences m-learning usage but not attitudes. Also, it was found that parental involvement in communication enhances perceived ease of use and usefulness but does not influence attitudes. In addition, parental involvement in decision-making positively influences attitudes, perceived ease of use, and perceived usefulness, whereas involvement in home learning shows no significant influence on attitudes, perceived ease of use, or perceived usefulness of m-learning. This should encourage the stakeholders of tertiary institutions in Nigeria to embrace and utilize m-learning for a smooth academic calendar. Also, developers and educators need to consider user experience on m-learning platforms by simplifying interfaces, offering clear instructions, and guaranteeing technical assistance, which may improve students' perceptions and, ultimately, engagement levels.
Examining the alignment between mathematics learning outcomes and assessment practices in Moroccan universities: The case of the algebra module
This study examines the alignment between mathematics learning outcomes and assessment practices in three Moroccan universities. The purpose is to evaluate whether assessment tests adequately represent the intended learning outcomes and reflect the results of teaching activities. The study focuses on the Algebra 2 module, which serves as a reference framework for the targeted learning outcomes. The research adopts a psychodidactic approach, combining the analysis of assessment questions and the module’s specification table. The representativeness of the intended learning outcomes in each test is measured using the chi-square goodness-of-fit technique. The results reveal significant inconsistencies in the representativeness of the content and cognitive levels. The findings indicate a recurrent overrepresentation of algebraic reasoning, as well as variations between years and institutions. The high chi-square values (ranging from 45.65 to 125.32) suggest that several tests do not adequately cover the intended learning outcomes. These findings point to a misalignment between assessment practices and the learning outcomes framework. This study highlights the need to rethink university assessment practices by adopting a systematic approach based on clearly defined learning outcomes and psychometric principles. Such improvements could contribute to more valid, balanced, and equitable evaluation of students’ competencies.
Denied data access and institutional gatekeeping: Systemic barriers to scientific progress
Access to research data remains a cornerstone of scientific progress, yet it continues to be constrained by institutional gatekeeping and systemic inequities that undermine transparency, reproducibility, and global participation in knowledge production. The study explores how restricted data access and institutional gatekeeping create systemic obstacles to scientific advancement, considering these within broader structural, ethical, and procedural limitations. This study employed a structured literature review methodology, selecting studies according to inclusion criteria that focused on institutional, legal, ethical, and infrastructural barriers to data access. The reviewed literature was subjected to thematic and frequency-based analysis to identify recurring patterns and systemic trends, ensuring triangulated and contextually grounded findings. Results reveal that institutional practices such as power asymmetries, procedural opacity, reputational protection, and excessive ethical oversight interact with legal, commercial, infrastructural, and skill-based limitations to produce enduring barriers to data accessibility. These dynamics disproportionately affect researchers in low-resource and peripheral contexts, perpetuating cycles of exclusion and academic dependency. The paper argues that denied data access is not merely a matter of administrative inefficiency but a manifestation of deeper governance failures embedded within the political economy of research. It concludes with an integrated framework for reform, advocating transparent and standardized access protocols, independent appeal mechanisms, equitable data governance, and capacity-building strategies that balance ethical responsibility with openness. Addressing these challenges is essential for fostering a fair, collaborative, and truly global scientific enterprise.
Development of e-wallets and cashless payments: Evidence from Vietnam and implications for emerging economies
Recently, the expanding digital economy has led to a strong rise in the number of cashless payments in Vietnam, in which e-wallets are becoming an icon of financial innovation. This research aims to discover factors driving the adoption of e-wallets in Vietnam, assessing the impact of e-wallets on financial inclusion, as well as implementing recommendations for emerging economies during economic transformation. The research integrates the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) within a Structural Equation Modeling (SEM) framework, using a mixed dataset that combines survey data from 1,268 e-wallet users with secondary data from the State Bank of Vietnam, the World Bank, GSMA, and industry reports. The findings indicate that performance expectancy and trust are the most significant drivers of e-wallet usage, and e-wallet usage has the strongest positive and statistically significant impact on financial inclusion. The study concludes that e-wallets are an effective gateway to financial services in emerging markets, particularly in the context of rapid digital infrastructure development. Practical implications suggest that policymakers should strengthen legal frameworks and data protection, narrow the gap in access to financial services, and promote financial literacy to maximize the inclusive benefits of digital payments.
Enhancing data governance framework for data privacy in Saudi Arabia
This study evaluates data governance framework implementation in the Kingdom of Saudi Arabia, with particular emphasis on identifying data privacy challenges and proposing enhancement strategies. A qualitative research approach was employed, conducting semi-structured interviews with thirteen participants from private, government, and semi-government organizations that have implemented DAMA-DMBOK-based data governance frameworks. Thematic analysis was used to identify implementation challenges and improvement areas. Four primary challenges emerged: insufficient organizational awareness of data governance value, difficulties complying with international data protection regulations (particularly GDPR), inadequate data classification practices, and stakeholder resistance due to conflicts of interest. While framework adoption remains incomplete, participants recognize the need for enhancement through three strategic interventions: clearly defining strategic and operational objectives, increasing organizational awareness while developing human and technical resources, and strengthening data privacy through proactive integration into system design phases. This research provides actionable recommendations for Saudi organizations and policymakers to facilitate effective data governance implementation, emphasizing the balance between data protection requirements and organizational innovation needs.
Characteristics of microalbuminuria among patients with type 2 diabetes mellitus treated at Saigon general hospital
Early detection of microalbuminuria in patients with type 2 diabetes mellitus is essential for preventing diabetic kidney disease. Microalbuminuria testing is widely recommended from the time of diagnosis to monitor complications. To describe the characteristics of microalbuminuria in T2DM patients treated at Saigon General Hospital in 2025. Materials and Methods: A prospective cross-sectional study was conducted on 89 T2DM patients at the Department of General Internal Medicine from April to September 2025. The prevalence of microalbuminuria (MAU ≥30 mg/L) was 23.6%. Mean MAU levels were 71.5±92.6 mg/L in males and 64.7±89.8 mg/L in females. Patients with positive MAU had higher HbA1c (8.0±1.4%), serum creatinine (89.8±22.1 µmol/L), and BMI (25.3±3.2 kg/m²), indicating an association between poor glycemic control, increased body weight, and early renal impairment. Hypertension was present in 66.7% of patients with MAU. Microalbuminuria is relatively common in T2DM patients and is associated with modifiable risk factors. Routine screening is important for early detection and timely intervention to prevent progression to diabetic nephropathy.
Equal swept-area experimental comparison of savonius and H-type darrieus vertical axis wind turbines for floating net cages microloads
Floating net cages (FNCs) in coastal aquaculture require a reliable, low-power electricity supply for daily operations. However, many coastal sites still have limited grid access and depend on fuel-based energy. This study compared the performance of a Savonius rotor and an H-type Darrieus rotor as renewable electricity options for FNC applications, using the same swept area of 0.45 m² and a shared direct-current generator interface under controlled laboratory airflow. A total of 560 operating points were recorded at wind speeds of 1.5–8.0 m/s under discrete resistive loads. Electrical power generation was derived from the measured voltage and current, while the wind-to-electric efficiency was determined as the proportion of generated electrical power to the available wind power. The findings indicated that the H-type Darrieus turbine exhibited superior performance compared to the Savonius turbine across the entire testing range. Its mean electrical power reached 7.59 W, compared with 4.47 W for the Savonius, while mean efficiency reached 17.01% and 10.09%, respectively. At 8.0 m/s, the H-type Darrieus produced 22.01 W, whereas the Savonius produced 12.47 W. These results indicate that the H-type Darrieus rotor is more suitable for the early-stage design of hybrid wind-solar-battery systems for FNC applications.
A study on the driving effects of digital trade development on total factor productivity growth and potential economic growth rate
This study investigates the driving effects of cross-border digital trade development on Total Factor Productivity (TFP) growth and potential economic growth rates, addressing the macroeconomic puzzle of rapid digital expansion coexisting with sluggish productivity growth—the contemporary “Solow Paradox.” The study constructs a theoretical framework integrating digital trade into the production function, employing comprehensive analysis of macro- and micro-level evidence from panel data across multiple economies. The research utilizes econometric methods including fixed-effects models and threshold effect analysis to examine transmission mechanisms. Digitalization exhibits a non-linear, U-shaped impact on productivity. Most firms remain below a critical digitalization threshold (approximately 0.1373), where adjustment costs outweigh efficiency gains. Infrastructure gaps, skill shortages, institutional rigidities, and fragmented cross-border data governance limit spillovers and concentrate benefits among frontier firms. The Solow Paradox reflects a sub-threshold trap rather than technological failure. Productivity gains from digital trade are conditional on complementary investments in infrastructure, human capital, institutional reform, and coherent data governance. Policymakers should prioritize digital infrastructure development, implement sequenced reform strategies, and address institutional frictions. Elevating the TFP of the bottom 90% of firms could potentially drive an 18% GDP increase over 6-8 years.
Intelligent tourist attractions recommender system with hybrid AI
The annual rise in tourism increases demand for a robust tourism recommendation system. Big data processing has been adopted as a key component of adaptive recommendation systems, which provide services designed to suit individual users' needs. Big data processing can be applied to tourism recommendations to offer better options for tourists and reduce the distance traveled by users to visit a location of their preference. In this system, Hybrid AI, Llama, and Logistic Regression are used to categorize big data and recommend tourism types that match the user's personality, based on sentiment analysis, distance, and cost of visit. Hybrid AI combines machine learning, which uses statistical models to analyze data, with Llama AI to provide insights and meanings related to locations presented to the user. The system is scalable to handle the complexity of the data collected. It informs users of locations with the lowest Mean Squared Error through cumulative values from different tourism criteria. The current best cumulative RMSE, MAE, and MSE achieved by the system are 0.909, 0.732, and 2.773, respectively, for a training dataset of 438 entries. The MSE is expected to improve with larger datasets for training.
The impact of social media on the personal financial management behavior of young people in Hanoi, Vietnam
In the digital era, social media has become a key channel for accessing financial information, particularly among Generation Z (Gen Z). Beyond communication, it serves as an important source of financial knowledge and influences decision-making. However, empirical evidence on its impact in developing countries, including Vietnam, remains limited. This study examines the effect of social media on the personal financial management behavior of Gen Z in Hanoi, focusing on financial attitude, subjective financial knowledge, and financial socialization. A mixed-method approach was adopted, with data collected from 258 respondents and analyzed using descriptive statistics and Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that social media use and subjective financial knowledge significantly influence financial behavior, while financial attitude has a weaker effect, and financial socialization mainly exerts an indirect influence. These findings highlight the role of social media as an informal learning channel and its potential to enhance financial literacy and promote responsible financial practices among Gen Z.
Business model innovation in China's central business district property management: The mediating role of smart service ecosystem integration and the moderating effect of institutional adaptability
Against the backdrop of China's Central Business Districts (CBDs) emerging as core carriers of high-quality urban economic development, this study investigates the performance transformation mechanism of business model innovation (BMI-CBD) in CBD property management enterprises, aiming to address homogeneous competition and enhance performance. Grounded in the Resource-Based View and Institutional Theory, a mediating model of "BMI-CBD→Smart Service Ecosystem Integration (SSEI)→Business Performance (BP-CBD)" is constructed, with Institutional Adaptability (IA) introduced as a dual moderating variable. Based on questionnaire data from 462 enterprises across 15 cities, analyzed via SPSS and AMOS, the findings reveal that BMI-CBD positively impacts corporate performance, with "technological application innovation" and "cooperative network innovation" as key contributors. SSEI partially mediates the relationship, and IA positively moderates direct and mediating effects—more prominently in first-tier cities. This study integrates SSEI and IA into the research framework, providing theoretical support for overcoming the "innovation-performance" bottleneck and practical guidance for differentiated innovation strategies.
Fostering a frugal living: Examining mental accounting and green consumption among Indonesian generation Z
Frugal living is becoming a more common lifestyle choice among Indonesia’s Generation Z (17–28 years old), largely due to rising financial pressures and a growing concern for environmental sustainability. This study explores how Mental Accounting and Green Consumption influence their tendency to live more frugally, especially through deliberate financial decisions and consumption habits grounded in ethical and environmental considerations. Using a quantitative method, data were gathered from 300 respondents through an online survey. Initial statistical tests were conducted with SPSS 23, and the structural model was examined using AMOS Graphics 25. The results strongly support the proposed relationships. Mental Accounting helps individuals organize and manage their finances with greater awareness, while Green Consumption encourages them to make choices that are responsible and environmentally sound. These two factors together play a meaningful role in shaping frugal living behaviors among Indonesian Gen Z. The study concludes that financial awareness and sustainability-oriented values play an important role in shaping cost-conscious and environmentally responsible lifestyles. Practically, these findings highlight the importance of promoting financial literacy and sustainable consumption awareness to encourage frugal living among younger generations.
Profiling of the published scientific research articles on Paedodontics, endodontics, dental restorative materials and direct restorative dentistry in SADJ over a period of ten years (2008 - 2018)
The study explored the dynamics of published scientific research articles on Paedodontics, endodontics, dental restorative materials and direct restorative dentistry in South African Dental Journal (SADJ) over a period of ten years (2008 - 2018). A descriptive study design was conducted by reviewing published Paedodontics, endodontics, dental restorative materials and direct restorative dentistry articles in SADJ. A total of 100 journals were reviewed. A total number of 197 research articles were published in the SADJ between the years 2008 and 2018 according to the field of expertise (Paedodontics, endodontics, dental restorative materials and direct restorative dentistry). For the 11-year period, a total of 59 (30%) articles in Endodontics, 51 (26%) in direct restorative material, 48 (24%) in direct restorative dentistry, with Paedodontics having the least number at 39 (20%) published in the SADJ. It was observed that all the publications in SADJ (according to field of expertise) showed a palpable diminishing trend between 2008 and 2018. In particular, the number of articles in Paedodontics decreased significantly from a peak of 13 recorded in 2008 to nil in 2016.
Determining factors in business creation by women: Systematic review based on PRISMA-2020
This study systematically examines the determining factors influencing business creation by women through a PRISMA 2020-based literature review. The objective is to identify and integrate personal, social, cultural, economic, and political-legal dimensions shaping female entrepreneurship. A structured search was conducted in Scopus and Web of Science, resulting in 38 peer-reviewed studies that met the established eligibility criteria. The findings reveal that personal factors such as risk-taking ability, self-confidence, and resilience interact with structural conditions, including family support, gender norms, access to financing, and government support programs. Family support emerges as the most frequently cited social determinant, while access to financing and restrictive gender norms constitute the most persistent structural barriers. Government initiatives and training programs appear as key enabling mechanisms within the political-legal dimension. The review highlights the interdependence among these dimensions and demonstrates that female entrepreneurship cannot be explained through isolated variables. The study contributes a multidimensional conceptual framework that integrates internal capabilities with external structural conditions. The findings underscore the need for coordinated public policies, inclusive institutional ecosystems, and sociocultural transformation to promote sustainable and equitable female entrepreneurship.
Trigger-amplifier-resilience dynamics of short-horizon systemic risk: An interpretable machine-learning early warning system for Indonesia
This research develops an interpretable early warning system for short-horizon systemic risk using the Trigger-Amplifier-Resilience (TAR) framework. Rather than treating crises as static outcomes, the framework considers them as evolving processes, where shocks in financial markets act as initial triggers, are subsequently transmitted through financial linkages, and are ultimately shaped by underlying macro-financial conditions. Using monthly Indonesian data from 2015 to 2024, the analysis applies a Random Forest model and uses SHAP decomposition to unpack the drivers behind predicted risk. Crisis episodes are identified based on market-based stress thresholds, and model performance is evaluated through an expanding-window out-of-sample approach. The results suggest that the machine-learning model improves crisis detection relative to a linear benchmark, pointing to the relevance of nonlinear dynamics. More importantly, the decomposition reveals a consistent sequencing pattern: market signals tend to move first, amplification mechanisms follow with a short delay, and resilience factors become more relevant as stress unfolds. Taken together, these findings indicate that combining prediction with interpretation can provide more useful real-time signals, allowing policymakers to respond more precisely to different phases of systemic stress.
The evolution of consumer decision making: A bibliometric analysis and literature review
This bibliometric review examines the evolution of consumer decision-making (CDM) research from 1987 to 2024, focusing specifically on the integration of artificial intelligence (AI) into consumer behavior research. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic analysis of 2,163 peer-reviewed articles from the Scopus database was conducted. To map the intellectual structure of the field, the VOSviewer software was used for comprehensive co-citation analysis, co-word analysis, and graphical network visualization. The results identified three distinct schools of thought: rational choice and behavioral economics, technology and digital systems adoption, and service quality evaluation. Furthermore, a significant paradigm shift from traditional psychological models toward AI-driven frameworks was observed, with the United States, the United Kingdom, and Germany leading global research output. Synthesizing these findings, this study proposes an adaptive-bounded rationality model as a critical conceptual direction for future research, confirming that AI has substantially redefined both theoretical and empirical approaches to understanding consumer behavior. Consequently, practitioners can leverage these insights to design consumer-centric marketing strategies utilizing predictive analytics while proactively addressing critical ethical concerns related to algorithmic transparency and consumer autonomy.
Barriers to circular economy adoption among adults in the eastern province of Saudi Arabia
The circular economy (CE) presents a viable strategy for mitigating food waste and extending the lifespan of food products. This study aims to assess the reliability and validity of utilizing ten questions as a tool for measuring barriers to CE adoption and to provide recommendations for policymakers to alleviate these barriers. A sample of 384 Saudi adults, aged 18 and older, from the Eastern Province was chosen to complete the questionnaire. The collected data was then examined using descriptive statistics, Cronbach's Alpha, and Exploratory Factor Analysis (EFA). Cronbach’s Alpha indicates that the questions measuring barriers to CE adoption have good internal consistency. The EFA results also reveal that there is only one component that explains about 63.42% of the total variance in the questions measuring barriers to CE adoption. Therefore, it is important to create and carry out educational and awareness campaigns that focus on practical ways to incorporate CE principles into everyday life. Consequently, the study promotes the need to overcome the barriers hindering CE, accompanied by accepting the questions measuring barriers to CE adoption as a reliable and valid tool for assessing the implementation of CE in Saudi Arabia.
Development of problem based learning with peer assessment model to enhance creative thinking and piano skills for non-piano college students
This study aimed to develop a Problem-Based Learning (PBL) model integrated with peer assessment to enhance creative thinking and piano skills among non-piano college students. The study employed a research and development approach combined with a quasi-experimental design to evaluate the effectiveness of the developed instructional model. The participants consisted of 40 second-year non-piano major students from a university in Yuncheng City, China, who were divided into an experimental group (n = 20) and a control group (n = 20). The experimental group was taught using the PBL with peer assessment model, while the control group received traditional piano instruction. The intervention lasted for eight weeks. Data were collected through piano performance assessments and a creative thinking questionnaire, and analyzed using multivariate analysis of variance (MANOVA) and independent samples t-tests. The results indicated that students in the experimental group demonstrated significantly higher scores in both piano skills and creative thinking compared with the control group (p < .001). The experimental group achieved higher mean scores in rhythm and timing (M = 23) and style and mood (M = 8), compared with the control group (M = 18 and M = 6, respectively). Creative thinking scores increased to a mean of 4.46 in the experimental group, while the control group scored 2.97. These findings suggest that the developed PBL with peer assessment model effectively improves musical performance and creative thinking. Future research should examine the long-term impact of the model and explore its applicability in other music education contexts.
Strengthening disclosure regulations to increase market transparency and investment decisions: Evidence from the Vietnamese stock market
Strengthening disclosure regulations to increase market transparency and investment decisions: Evidence from the Vietnamese stock market. Information disclosure plays a fundamental role in ensuring transparency and efficiency in financial markets. In emerging markets, where the legal framework and regulatory enforcement are still developing, the quality of corporate information disclosure is particularly important for mitigating information asymmetry and enhancing investor confidence. For the Vietnamese stock market, improving information disclosure practices has been recognized as a top priority to promote market transparency and sustainable capital market development. However, empirical evidence on the impact of information disclosure quality on investor perceptions and investment decisions in Vietnam remains limited. This study aims to examine the impact of information disclosure quality on market transparency, investor confidence, and investment decisions in the Vietnamese stock market. This study uses a quantitative approach, drawing on survey data collected from 326 individual investors and financial professionals participating in the Vietnamese stock market. Structural Equation Modeling (SEM) was applied to examine the relationships among information disclosure quality, market transparency, investor confidence, and investment decisions. Empirical results show that market transparency and investor confidence mediate the relationship between information disclosure quality and investment behavior. This study contributes to the existing literature by providing empirical evidence on the mechanisms linking information disclosure to investment decisions in emerging markets. The findings also offer important policy implications for regulators and listed companies in strengthening information disclosure practices, improving market transparency, and enhancing investor confidence in the Vietnamese stock market.
Application of cross-cultural communication theories in Malaysian Chinese literature in English a systematic review
This systematic review aims to examine how cross-cultural communication theories have been applied in the study of Malaysian Chinese literature written in English, with a focus on identifying dominant theoretical approaches, thematic concerns, and gaps in current scholarship. Using the PRISMA 2020 framework, the study systematically searched Web of Science and Scopus and initially retrieved 199 records. After duplicate removal and screening based on predefined inclusion and exclusion criteria, 17 peer-reviewed journal articles were selected for qualitative thematic synthesis. The review shows that theories such as hybridity, diaspora, cultural identity, translation, and postcolonial critique have been widely used to interpret Malaysian Chinese literary texts in English. However, theoretical application remains uneven, with most studies focusing on canonical authors and relying on limited methodological approaches. Interdisciplinary integration is still insufficient, and emerging literary voices remain underexplored. The study concludes that Malaysian Chinese literature in English provides a valuable site for examining identity negotiation, intercultural dialogue, and decolonial critique in postcolonial and multicultural contexts. It also suggests the need for broader theoretical integration, greater methodological diversity, and more inclusive literary representation in future research.
AI-driven mediation and legal assistance: A multilingual chatbot model for effective dispute resolution
In the previous few decades, as people have been dissatisfied with the excessive inefficiencies associated with the traditional process of civil litigation, new solutions such as mediation through AI chatbots have gained popularity in the modern age. The increase in civil filings (58%) over the last three years compared with pre-COVID levels, as well as long periods for cases (average of 25 months), are cases that require immediate action to create solutions for faster and more affordable avenues to resolving disputes. AI chatbots offer the opportunity for a more efficient, rational way of resolving disputes because they provide 24/7 service, multilingual capabilities, and personalized assistance. The current proposed work analyzes the chatbot technology, which utilizes natural language processing (NLP) and machine learning (ML) to read through cases, provide guidance on the best mediation process, and, for some, match consumers with mediators. Additionally, this technology will incorporate legal databases (such as LexisNexis and Westlaw), as well as integrate speech-to-text capabilities, use blockchain for secure data storage, and more to create processes that are not only lower in volume but also provide faster resolutions and higher user satisfaction. Actual applications, such as in New York and California, have shown encouraging results with as much as a 50% drop in trial rates. Developments in technology in the near future will also include virtual reality (VR) mediation preparation, AI-generated documents, and predictive analytics, all aimed at continuing to disrupt the system of access to justice.
Misfolding and aggregation of protein in progressive neurodegenerative diseases: novel biomarkers and intervention strategies
This review aims to examine the role of protein misfolding and aggregation in the pathogenesis of neurodegenerative diseases (NDDs) and to evaluate emerging biomarkers and therapeutic strategies. A comprehensive literature-based approach was adopted to synthesize recent advances in molecular mechanisms, diagnostic tools, and intervention methods related to major NDDs, including Alzheimer’s, Parkinson’s, and Huntington’s diseases. The findings indicate that protein misfolding leads to the formation of toxic aggregates that disrupt neuronal function and drive disease progression. While traditional biomarkers such as amyloid-beta and alpha-synuclein remain important, they are limited in detecting early-stage disease; in contrast, emerging biomarkers, including tau oligomers and blood-based indicators, demonstrate improved sensitivity for preclinical diagnosis. Regarding treatment, approaches such as immunotherapy, molecular chaperones, aggregation inhibitors, and gene-based therapies show promising potential, although challenges related to delivery, specificity, and long-term safety persist. Overall, advances in biomarker development and targeted therapies offer new opportunities for early diagnosis and disease modification. Continued optimization may enhance diagnostic accuracy, enable timely intervention, and support personalized treatment strategies for patients with NDDs.
Factors affecting the effectiveness of kindergarten management in Vietnam
In the context of Vietnam's educational reforms and the push for institutional autonomy, management effectiveness in early childhood education (ECE) has become a decisive factor in ensuring educational quality. This study examines the impact of five key predictors, leadership capacity, teacher professional quality, policy compliance, parental engagement, and resource adequacy, on the effectiveness of kindergarten management in Vietnam. Using a cross-sectional survey design, data were collected from 412 managers and teachers across public and private sectors. The results from multiple linear regression analysis indicate that the model is statistically significant and explains [62.4%] of the variance in management effectiveness (R^2 = 0.624, adjusted R^2 = 0.618, p < .001). Leadership capacity and teacher quality emerged as the strongest predictors (beta = 0.42 and beta = 0.35, respectively, p < .001), while policy compliance and parental engagement showed moderate but significant effects. The findings highlight systemic challenges such as policy fragmentation and workload pressure. This study provides a theoretical framework for ECE governance and offers practical implications for policymakers and school administrators to enhance accountability and educational outcomes in the Vietnamese context.
Asymmetric exchange rate pass-through to inflation in Vietnam: Evidence from a nonlinear ARDL approach
This paper investigates asymmetric exchange rate pass-through (ERPT) to consumer price inflation in Vietnam over the period January 2005 to December 2023. Employing the nonlinear autoregressive distributed lag (NARDL) framework of Shin et al. [1], we decompose exchange rate changes into positive (VND depreciation) and negative (VND appreciation) partial sums and estimate their differential effects on Vietnam's Consumer Price Index. The F-bounds statistic (F = 3.84) exceeds the 10 percent upper critical bound, confirming a level relationship. The oil price channel is the statistically dominant long-run driver: a ten-percent increase in Dubai crude is associated with approximately 3.2 percent higher CPI. The speed-of-adjustment coefficient is individually insignificant, consistent with Vietnam’s managed exchange rate regime; we therefore rely on cumulative dynamic multipliers as the primary ERPT measure. These reveal that VND depreciation generates a larger inflationary impulse (converging at ≈+0.6 log-CPI units over 24 months) than appreciation generates a deflationary offset (≈−0.4), evidencing short-run asymmetry. The CUSUM test confirms structural stability throughout 2005–2023. Rolling-window estimates reveal elevated ERPT intensity during the 2022–2023 Federal Reserve tightening cycle. These findings offer policy insights for the State Bank of Vietnam in calibrating asymmetric exchange rate interventions to anchor inflation expectations.
Measures to develop 5–6-year-old preschool children’s ability to use sentences for communicative purposes: A situational survey and pedagogical experiment
This study aims to develop and evaluate a set of pedagogical measures to enhance 5–6-year-old preschool children’s ability to use sentences according to communicative purposes from a communicative-oriented perspective. The research employs a mixed-methods design following a sequential explanatory approach, including a situational survey and a controlled pedagogical experiment. The survey was conducted with teachers and children in several preschools to examine teachers’ awareness, the organization of language activities, and children’s use of sentence types. Based on these findings, targeted measures were designed and implemented in an intervention with experimental and control groups of equivalent initial ability. The results show that children in the experimental group demonstrated significant improvement in using sentences for communicative purposes compared to the control group. The proportion of children below expectations decreased, while those exceeding expectations increased across all sentence types, particularly in imperative and exclamatory forms. These findings confirm the effectiveness of a communicative-pragmatic approach to early language education. Practically, the study suggests that organizing purposeful communicative activities is essential for fostering young children’s verbal communicative competence.
Predictors of ethical decision-making among young accountants: Evidence from Vietnam
This study examines the predictors of ethical decision-making among young accountants in Vietnam by focusing on the sequential relationship between moral awareness, moral judgment, and ethical intention. Drawing on Rest [1]'s moral decision-making framework and Hofstede’s concept of power distance, the study investigates how education, gender, power distance, and risk-taking propensity are associated with ethical cognition in an emerging-market context. Using survey data from 194 respondents, including accounting and auditing students as well as early-career auditors, the study applies structural equation modeling (SEM) to test the proposed relationships. The results provide support for an awareness-judgment-intention pathway in ethical decision-making. Gender, power distance, and risk-taking propensity were found to significantly influence moral awareness, while moral awareness strongly affected moral judgment, which in turn significantly shaped ethical intention. The findings also suggest that education-related effects are more nuanced, with professional exposure and academic seniority showing more evident associations with ethical cognition than education as a single overall factor. Overall, the study indicates that both individual characteristics and cultural orientation contribute to ethical decision-making among young accountants in Vietnam. By providing evidence from a non-Western and underexplored context, the study contributes to the accounting ethics literature and offers implications for ethics education and professional development in Vietnam’s accounting sector.
Data-driven multi-objective optimization of explosively formed projectiles using central composite design
The terminal ballistic performance of Explosively Formed Projectiles (EFP) is governed by highly non-linear interactions between liner geometry and explosive characteristics. To address this complexity, a rigorous multi-objective optimization framework is established by integrating the Box-Wilson Central Composite Design (CCD) with explicit dynamics simulations. The interactive effects of liner height (h/d), top thickness (δ1/d), edge thickness (δ2/d), and charge length (l/d) are systematically quantified. Numerical models, validated against static firing experiments, demonstrate high predictive reliability with relative errors consistently below 6%. Statistical analysis reveals that top thickness dictates kinematic performance, contributing over 98% to velocity variance, while an energy saturation plateau is identified at a charge length ratio of l/d ≈ 1.2. Through constrained desirability optimization, an optimal configuration (h/d=0.221, δ1/d=0.032, δ2/d=0.012, l/d=1.215) is derived, achieving a terminal velocity of 2405 m/s, a penetration depth of 29.0 mm, and a hole diameter of 31.0 mm. Confirmatory simulations capture a significant dynamic necking effect at high velocities, effectively concentrating mass along the penetration axis and reducing target resistance. Consequently, the optimized projectile penetrates 24.4% deeper than statistical predictions and outperforms baseline designs by 34.9% in velocity, demonstrating the framework's efficacy for advanced warhead engineering.
Impact of plyometric training on skill component in young volleyball players
This study aimed to examine the effectiveness of a 12-week plyometric training program in improving agility in young male volleyball players. Methods: 42 volleyball players (mean age = 15 ± 1.3 years) from Tirana, Albania, with five years of experience and training four times a week for 90 minutes, participated in the study. Participants were randomly assigned to an experimental group (EG, n = 21) and a control group (CG, n = 21). EG completed a 12-week plyometric program with seven exercises, three times a week for 20 minutes after regular ball training. Groups were assessed before and after the intervention on anthropometric measures (body height, body weight, BMI) and agility tests (T-Test and Conical Agility Training). Descriptive statistics and ANOVA (p < .05) were used to analyze the data. Results: Significant improvements were observed in EG. T-Test performance increased from 14.11 s to 15.42 s, and Conical Agility Training improved from 13.43 s to 11.25 s, CG showed minimal changes. Conclusions: A 12-week plyometric program effectively and rapidly increases agility in young male volleyball players. These findings highlight the importance of incorporating structured plyometric exercises into regular training sessions to improve multidirectional and lateral agility.
Teacher support in collective argumentation to foster student understanding of parallelism based on the Toulmin model and Pirie-Kieren theory
Dialogue-oriented mathematics learning requires teachers not only to facilitate discussion but also maintain mathematical accuracy while preserving students’ ownership of reasoning. This study investigates how teacher support shapes collective argumentation and students’ understanding of parallelograms in a junior high school classroom. Using the Teacher Support for Collective Argumentation (TSCA) framework in combination with the full Toulmin argumentation model, the study examines how specific teacher moves contribute to the emergence, development, and coherence of students’ argument structures, with particular attention to the coordination of warrants, qualifiers, and rebuttals. Students’ conceptual development is further analyzed through the Pirie–Kieren framework to trace shifts from visual intuition to formal justification. Drawing on qualitative analysis of the recordings of class discussions, student artifacts, and interaction transcripts from geometry lessons, the findings indicate that teacher support enacted to probing questions, revoicing, and visual representation management sustains students’ ownership of arguments while enhancing the coherence of mathematical argument structures. Integrating TSCA with the Toulmin model enables more precise identification of argument maturity, especially in the correspondence between warrant types and the levels of claim certainty. These findings suggest that collective argumentation functions as an important socio-epistemic pathway toward formal proof and highlight pedagogical implications for question design and teacher interventions in the geometry classroom.
How multidimensional perceived value shapes online insurance purchase intention in China: The mediating role of attitude and the moderating role of eWOM
As digital transformation reshapes financial services worldwide, online insurance has become an increasingly important channel for insurers to reach consumers. In China, however, consumers’ intention to purchase insurance online remains uneven due to product complexity, information asymmetry, and perceived risk. This study examines how multidimensional perceived value shapes online insurance purchase intention in China, with attitude as a mediator and electronic word-of-mouth (eWOM) as a moderator. Grounded in perceived value theory and the value-attitude-behavior hierarchy, the study conceptualizes perceived value as emotional value, social value, functional value-price, and functional value-quality. Data were collected through an online questionnaire, yielding 663 valid responses. Partial least squares structural equation modeling (PLS-SEM) was used to assess the measurement model, structural model, mediation, moderation, and predictive relevance. The results show that all four perceived value dimensions positively and significantly affect attitude toward online insurance, while attitude significantly enhances purchase intention. Attitude also mediates these relationships, and eWOM positively moderates the attitude-purchase intention link. Overall, the findings show that online insurance adoption depends on value perceptions, favorable attitudes, and credible online communication, extending perceived value research in the digital insurance context and offering practical guidance for insurers.
Molecular docking insights into Calophyllum-derived chromanones as potential EGFR and STAT3 inhibitors in cervical cancer: A review
Recently, chromanone compounds obtained from the Calophyllum species were found to exhibit anticancer properties in cervical cancer by inhibiting key cancerous proteins that are essential to cervical cancer progression and development. In this docking study, experiments were conducted against two key oncogenic targets in cervical cancer: the epidermal growth factor receptor (EGFR, PDB ID: 8A27) and STAT3 (PDB ID: 6NUQ). For EGFR, the mutant-selective allosteric inhibitor EAI045 was used as the positive control to match the allosteric conformation of the 8A27 structure. For STAT3, the SH2-domain suppressor STAT3 Inhibitor VII served as the control, consistent with the binding site captured in 6NUQ. Favorable interactions were observed with several compounds showing docking scores indicating strong binding affinity for EGFR kinase and STAT3 SH2 domain. Structural interaction analysis additionally exposed essential hydrogen bonding and hydrophobic contacts in the active sites. The results favor Calophyllum-derived chromanones as interesting lead compounds for dual targeting of EGFR and STAT3 pathways as an additional alternative for targeted therapies in cervical cancer. More importantly, it supports the ethnobotanical importance of Calophyllum species and illustrates the potential of computational techniques in converging traditional medicine for contemporary drug discovery.
Gradient of strength properties in stainless steel wire after cryogenic cooling
This article considers an advanced technology used for processing stainless steel wire, namely cryogenic drawing. The essence of the developed technology lies in the fact that, prior to the beginning of the drawing process, the wire undergoes preliminary heat treatment, which includes quenching at a high temperature reaching 1050 °C. After this stage, conventional drawing is performed, followed by a stage of cryogenic cooling. This process is carried out after each deformation cycle, which makes it possible to significantly modify the properties of the material. A distinctive feature of this study is the use of intermediate heating of the wire to room temperature between deformation cycles. The results of laboratory experiments conducted within this work clearly demonstrate that cryogenic treatment significantly improves the mechanical characteristics of the wire compared with conventional drawing. The application of intermediate heating leads to the formation of a unique gradient microstructure consisting of martensite and austenite. A nanostructured martensitic layer with a grain size of approximately 0.5 µm is formed on the surface of the wire. This grain size gradually increases toward the center of the wire, creating gradient material properties. The research results, presented in the form of detailed tables, graphs showing the dependence of mechanical properties on the number of deformation cycles, and high-resolution micrographs, clearly demonstrate significant differences in the microstructure and properties of the obtained wire.
The impact of foreign direct investment on local economic growth in Vietnam: A case study of Thai Nguyen province (1993-2024)
This research examines the relationship between foreign direct investment (FDI) and local economic growth in Thai Nguyen Province, Vietnam, during the period 1993-2024. Using a case study approach and descriptive statistical analysis based on secondary data, the research reviews realized FDI capital, FDI structure by investment partner and economic sector, and GRDP growth in the province over time. The findings show that FDI has played an important role in expanding social investment, accelerating industrialization, restructuring the local economy, promoting exports, and supporting employment creation. The most visible turning point occurred after 2013, when large-scale investment by Samsung and related supporting firms significantly increased FDI inflows and industrial output. However, the results also indicate that fluctuations in FDI growth were much stronger than fluctuations in GRDP growth, suggesting that the contribution of FDI to economic growth, while positive, was uneven and its spillover effects remained limited. The research provides empirical evidence from a long-term provincial case and offers policy implications for improving the quality, efficiency, and sustainability of FDI attraction in Vietnam.
Response of total renewable energy consumption to environmental technologies and policy uncertainties: A time–frequency analysis
Renewable energy transition in the United States unfolds in a landscape shaped not only by technological progress but also by policy-related uncertainty. Using monthly U.S. data from 01/04 /2005 to 01/11/2025, this study examines how climate policy uncertainty (CPU), monetary policy uncertainty (MP), and environmental technologies (ET) influence total renewable energy consumption (TREC) through advanced time–frequency techniques. In doing so, the study employs wavelet coherence (WTC), partial wavelet coherence (PWC), and multiple wavelet coherence (MWC) techniques. The results show that the TREC nexus is strongly time- and frequency-dependent. Baseline WTC indicates that CPU and MP are linked with TREC mainly in the short and medium run, whereas ET exhibits a more persistent medium- and long-run relationship. PWC confirms that the TREC–CPU association remains largely short-run after controlling for ET and MP, while the TREC–ET relationship continues to dominate over medium- and long-term horizons after accounting for CPU and MP. MWC further reveals that TREC is shaped not only by individual determinants but also by the joint influence of uncertainty and technology, especially at medium frequencies. We formulate policies based on these findings.
From cultural heritage to local economic development: Evidence from consumer purchase intention toward heritage souvenirs in Vietnam
This study aims to examine the impact of four key perception-based variables on consumer purchase intention as a mechanism linking cultural heritage to local economic development through heritage souvenirs in Vietnam. A survey was conducted with a sample of 323 domestic tourists during the Hung Kings Temple Festival in 2025. Using Structural Equation Modeling (SEM), the study evaluates the influence of Perceived Cultural Value (PCV), Perceived Product Price (PPP), Perceived Product Design (PPD), and Perceived Availability (PA) on Purchase Intention (PI). The results reveal that all four constructs have positive and statistically significant effects on PI, with PCV exerting the strongest total impact (β = 0.615), followed by PPP (β = 0.282), PPD (β = 0.268), and PA (β = 0.143). Furthermore, the analysis confirms the mediating role of PPP in the relationship between PCV, PPD, and PI. These findings hold substantial implications for the development of cultural heritage souvenirs. Enhancing the perceived value of heritage through effective product design, appropriate pricing, and improved accessibility can strengthen market acceptance, thereby contributing positively to tourism-driven local economic development. This study provides valuable empirical evidence to support businesses and policymakers in formulating effective strategies aimed at strengthening the cultural heritage souvenir sector.
Artificial intelligence and entrepreneurial innovation: Mapping the intellectual structure of an emerging research field
Artificial intelligence (AI) has rapidly become a strategic force in entrepreneurship, innovation, and digital business transformation. Yet, the rapid growth of publications across management, information systems, and technology studies has made it difficult to identify the dominant themes and evolving knowledge structure of AI-enabled entrepreneurship research. This study addresses that challenge through a bibliometric analysis of Scopus-indexed journal articles published between 2015 and 2025. A PRISMA-based screening procedure was applied to retrieve and filter the dataset, resulting in 623 journal articles for final analysis. Keyword co-occurrence analysis and science mapping were conducted using VOSviewer to identify major thematic clusters, research hotspots, and temporal shifts in topic prominence. The results reveal four major clusters: AI-driven opportunity recognition, technological innovation and digital transformation, machine learning applications in business decision-making, and digital platforms with business model innovation. The overlay analysis further indicates a thematic shift from technically oriented AI topics toward ecosystem-, platform-, and business-model-oriented perspectives. This study contributes to the literature by providing a field-specific bibliometric mapping of AI-enabled entrepreneurship, clarifying its intellectual structure, and proposing a future research agenda centered on entrepreneurial cognition, human-AI collaboration, and digitally mediated innovation ecosystems.
A systematic mapping of social entrepreneurship orientation: A call for increased collaboration and future research agenda
This study aims to systematically map and synthesize the development of Social Entrepreneurship Orientation (SEO) research and to identify future research directions. It employs a Systematic Literature Review (SLR) combined with bibliometric analysis. Data were collected from the Scopus database using the keyword “Social Entrepreneurship Orientation” in the title, abstract, and keywords fields. A total of 1,174 publications (2017–2025) were identified and analyzed using VOSviewer to examine publication trends, collaboration networks, and thematic structures. SEO research remains in an emerging, fragmented stage despite a rising trend in publications. Research is focused on a few countries and institutions, with limited international collaboration. The analysis highlights that SEO is closely linked to performance outcomes, while contextual, institutional, and innovation-related aspects remain underexplored. SEO research is still developing and requires more integrated, cross-national, and longitudinal studies to enhance theoretical development and empirical validation. The findings provide valuable insights for researchers, practitioners, and policymakers to develop collaborative and context-aware strategies for advancing social entrepreneurship practices. This study offers a thorough bibliometric analysis and highlights key gaps to inform future SEO research.
The impact of healthcare delivery configuration on patients’ perceived service quality: Mediating roles of patient partnership and trust in Nanning, China
In the evolving landscape of modern healthcare, the mere provision of medical resources is insufficient to guarantee patient satisfaction. Understanding the internal mechanisms that translate structural configurations into perceived quality is crucial for hospital management. This study explores the impact of Healthcare Delivery Configuration (HDC) on Perceived Service Quality (SQ) within the medical context of Nanning, China. Based on the Stimulus-Organism-Response (SOR) theory and the SERVQUAL model, this research proposed a dual-pathway mediation framework. Data were collected from patients in various healthcare institutions, and structural equation modeling (SEM) combined with the bootstrap resampling method was employed to test the hypotheses and mediating effects. The empirical results indicate that HDC has a significant direct positive impact on SQ (beta = 0.525, p < 0.001). Furthermore, the mediation analysis confirms that Patient Partnership (PP) and Patient Trust (PT) play significant partial mediating roles. The indirect effect through the trust pathway was estimated at 0.131 (95% CI: [0.074, 0.198]), while the combined mediating pathways account for approximately 45% of the total effect (0.656). The findings suggest that while technical and structural optimizations are fundamental, their impact on service quality is significantly amplified when they foster collaborative doctor-patient partnerships and strengthen emotional trust. Healthcare providers should not only focus on physical resource allocation but also prioritize building communication platforms that empower patients and consolidate trust to maximize perceived service quality in resource-constrained environments.
Mentoring, training and financing as drivers of entrepreneurial performance: Empirical evidence from the Fez-Meknes region, Morocco, using PLS-SEM
Entrepreneurial support should be viewed not only as a strategic lever for development but also as a mechanism for business consolidation and long-term survival. This research presents the results of an empirical study examining the contribution of support structures to the performance of 150 entrepreneurs in the Fez-Meknes region of Morocco. The study is structured around four key dimensions: mentoring, financing, training, and networking, drawing on a theoretical framework that integrates resource-based theory [1, 2], human capital [3], social capital [4, 5], and organisational ecology [6, 7]. Using a quantitative approach based on a structured Likert-scale questionnaire, data were analyzed through a two-stage methodology combining principal component analysis (PCA) and Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that mentoring (β=0.264, p<0.01), training (β=0.314, p<0.01), and access to finance (β=0.251, p<0.01) have a significant positive impact on business performance (R²=0.769), whilst networking shows no significant effect. These findings highlight the importance of contextually aligned, sector-specific support and suggest that policymakers should prioritize tailored mentoring, targeted training programs, and improved financial access mechanisms to enhance entrepreneurial performance in the Maghreb region.
Influence of entrepreneurial self-efficacy and entrepreneurship education on economics and business students’ entrepreneurial intention
This study examines the impact of entrepreneurial self-efficacy and entrepreneurship education on the entrepreneurial intentions of economics and business students in Hanoi, Vietnam. A quantitative research design was employed using survey data collected from 250 students. The reliability and validity of the measurement scales were assessed through Cronbach’s alpha and exploratory factor analysis (EFA), followed by multiple linear regression to test the proposed relationships. The findings indicate that both entrepreneurial self-efficacy and entrepreneurship education significantly and positively influence entrepreneurial intention. Among these factors, entrepreneurial self-efficacy exerts a stronger effect (β = 0.460) than entrepreneurship education (β = 0.361). The model explains 49.8% of the variance in entrepreneurial intention, highlighting the critical role of both individual cognitive capability and educational support. This study contributes to the literature by reaffirming the relevance of Social Cognitive Theory in explaining entrepreneurial intention in an emerging economy context. It also provides practical implications for universities and policymakers to enhance entrepreneurial competencies and promote experiential learning approaches. Future research may extend this model by incorporating contextual and institutional factors across different educational and cultural settings.
Factors associated with nurses’ knowledge of frailty in older adults: A cross-sectional study
To assess frailty knowledge levels among registered nurses in Macao and identify key predictors, a descriptive cross-sectional survey was conducted among 353 registered nurses in Macao. The validated Older People Frailty Knowledge (OPFK) scale measured frailty knowledge. Data were collected online via SurveyMonkey and analyzed using SPSS 26.0. The mean OPFK score was 71.1 ± 10.0 (range, 45–92), indicating moderate-to-high frailty knowledge. Multiple regression showed female gender (β = 0.18, P < 0.01), ≥5 years of clinical experience (β = 0.22, P < 0.001), positive experiences with older adults (β = 0.25, P < 0.001), and intention to live with older adults (β = 0.15, P < 0.05) were significant predictors, explaining 10.2% of variance (adjusted R² = 0.102). Macao nurses have moderate-to-high knowledge of frailty, but gaps in frailty assessment. Integrating targeted assessment training into gerontological nursing education, promoting continuing professional development, and leveraging experiential predictors can enhance geriatric care capacity.
Leadership style and higher education performance: A bibliometric analysis of research trends and evolution
This study aims to map the development of research on leadership styles and higher education performance through a bibliometric analysis of scientific publications indexed in Scopus. The dataset comprised 2,872 articles published between 2019 and 2024. Bibliometric methods were employed to identify publication trends, patterns of scholarly collaboration, dominant themes, and the conceptual evolution shaping the relationship between leadership style and institutional performance in higher education. The findings indicate that leadership studies in higher education are no longer confined to leadership typologies but have expanded into broader dimensions, including organizational dynamics, human resource management, institutional culture, and organizational communication. The principal finding confirms that communication constitutes a central element of leadership practice, as it plays a vital role in articulating institutional vision, fostering a conducive working culture, and aligning actions across academic and administrative units. In addition, leadership effectiveness is influenced by external factors, including government policy and institutional context. This study concludes that communication serves as a strategic mechanism linking leadership to the improvement of higher education performance. The implications of this study highlight the importance of strengthening leaders’ communication competence as a foundation for developing adaptive and sustainable governance in higher education institutions.
Evaluation of Fucokinase in groups of postmenopausal patients due to hormonal, surgical, and genetic disorders
Fucokinase (FUK) is involved in the process of fucosylation of carbohydrates, which are involved in various biological and pathological processes. FUK, in addition to some hormones, lipid profiles, oxidants and antioxidants, and vitamin D, were measured in serum for 175 women aged 18–40 years. The 80 serum samples were collected from women suffering from menopause within the same age range from Mosul city. The appearance of a decrease in FUK activity in all types of postmenopausal patients is due to hormonal, surgical, and genetic disorders, especially the surgical type, compared to healthy women. There is a state of high oxidative stress in all types of menopause, particularly in genetic disorder cases, characterized by decreased glutathione and increased malondialdehyde and peroxynitrate. Lipid profile levels showed disorder only in hormonal disorder cases. An increase in progesterone and testosterone levels was observed in hormonal and surgical disorder types, while a decrease was noted in genetic disorder cases. Additionally, vitamin D levels decreased in this group. The findings emphasize the importance of monitoring oxidative stress markers in this population.