Search Results (2,692)

Purpose: Cross-sectional analysis using open data has revealed an association between the traditional Japanese diet score (TJDS) and healthy life expectancy (HALE). This study aimed to clarify the association of the TJDS with the HALE and average life expectancy (LE) via a longitudinal analysis. Methods: Data regarding the food supply and total energy were extracted from the database of the Food and Agriculture Organization of the United Nations, and data regarding HALE and LE were obtained from the Global Burden of Disease Study 2019. The supply of items consumed frequently (rice, fish, soybeans, vegetables, and eggs) and less frequently (wheat, milk, and red meat) in the Japanese diet were scored (total: −8 to 8 points) and stratified into tertiles by country. The gross domestic product, aging rates, years of education, smoking rate, physical activity, and obesity rate were used as covariates. Longitudinal analyses were conducted for 143 countries, using the HALE and LE for each country from 2010 to 2019 as dependent variables and the 2010 TJDS as an independent variable. Results: The fixed effects (standard errors) were HALE 0.424 (0.102) and LE 0.521 (0.119), indicating significance (p < 0.001). Conclusion: The nine-year longitudinal analysis using international data suggests that the traditional Japanese diet based on rice may prolong the HALE and LE. Full article

This paper examines the impact of fintech adoption and financial inclusion on financial stability in selected countries. Using panel data from 30 countries spanning 2011–2024, the study employs an empirical strategy based on Two-Way Fixed Effects, a dynamic two-step System GMM estimator, and Panel Quantile Regression. This multi-method approach captures both average and distributional effects while addressing key econometric challenges, including endogeneity, heteroskedasticity, serial correlation, and cross-sectional dependence. The empirical findings differ across estimation techniques but reveal two consistent patterns: financial inclusion exerts a positive and significant effect on financial stability across all models, whereas the impact of fintech is model-dependent. While fintech appears insignificant under the Two-Way Fixed Effects and Driscoll–Kraay specifications, the System GMM and quantile regression analyses confirm that both fintech and financial inclusion significantly enhance financial stability. Overall, the results show that fintech can boost financial stability, but only when supported by broad financial inclusion and solid institutions. The findings highlight that policymakers must pair the growth of digital finance with clear regulatory standards and programs designed to deepen financial inclusion. Full article

In an era where economies increasingly rely on knowledge and innovation, sustaining long-term growth depends on understanding how education drives productivity beyond conventional measures. Yet, existing studies on the education–growth nexus remain fragmented, often focusing narrowly on schooling attainment while overlooking the complementary roles of lifelong learning and public investment in human capital. Addressing this critical gap, the present study adopts a multidimensional approach to evaluate how educational attainment, adult learning participation, and government expenditure on education collectively shape economic performance across the 27 European Union (EU) member states. Drawing on an unbalanced Eurostat panel dataset (2013–2022), the study employs a fixed-effects regression model with White cross-section robust standard errors to account for heteroskedasticity and serial correlation. The empirical results reveal that all three educational dimensions exert positive and statistically significant effects on GDP, with government educational expenditure emerging as the most influential driver, followed by adult learning participation, underscoring the transformative role of continuous skill renewal in dynamic labor markets. These findings advance Human Capital Theory by framing education not merely as an individual asset but as an interactive, systemic driver of national productivity and resilience. The study offers actionable insights for policymakers, calling for integrated strategies that align formal education, lifelong learning systems, and sustained public investment to foster inclusive, knowledge-driven, and sustainable economic growth across the EU. Full article

Background/Objectives: Infectious disease outbreaks are recurring global crises that particularly impact older adults, who are vulnerable both biologically and psychosocially. Older adults living in the community, often depending on informal support rather than institutional care, may be especially at risk during extended outbreaks. This study examined psychosocial predictors of anxiety and depression with a focus on the novel integration of multidimensional infectious-disease-related stress and differentiated functional pathways of social support. Methods: A cross-sectional survey involved 178 community-dwelling adults aged 65 and older in South Korea. Validated tools measured anxiety (K-GAI), depression (K-GDS-SF), infectious disease-related stress (fear of infection, anger toward others, and social distancing difficulties), social support (emotional, informational, material, and appraisal), and chronic illness status. Data analysis included correlation analyses and stepwise multiple regression. Results: Difficulties adhering to social distancing were the strongest stress-related predictor of both anxiety and depression, while emotional support emerged as the most powerful protective factor against both outcomes. Material support uniquely mitigated depressive symptoms, and older adults with chronic illness showed heightened vulnerability to depression. Conclusions: Infectious-disease-related stress is multidimensional, extending beyond fear of infection to include social-participation disruption and relational strain. Findings highlight that different types of social support exert distinct protective effects through function-specific mechanisms, reinforcing the importance of targeted intervention design. Practical implications include strengthening emotional-support infrastructure, implementing hybrid digital–offline outreach models, and prioritizing resource allocation for medically vulnerable older adults as part of preparedness planning for future prolonged public-health emergencies. Full article

In this research, we assess the feasibility of employing hybrid friction stir channeling (HFSC) to produce composite panels that combined an 8 mm thick AA6082-T6 aluminum alloy and 5 mm thick glass-fiber-reinforced Noryl GFN2. HFSC is an innovative solid-state technology that combines both friction stir joining and channeling characteristics, which enable the generation of integral internal channels while joining different components. A parametric study was outlined to explore the effects of the travel speed, probe length, and tool plunging on the resulting composite panels. The resulting composite panels were subsequently subjected to a comprehensive analysis encompassing exterior ceiling quality, internal channel, and joining interface morphology. Depending on the processing parameters, the geometry of the channels was found to be quasi-rectangular or quasi-trapezoidal, with significant variability on cross-sectional area, resulting in hydraulic diameters ranging from 1.2 to 2.9 mm. The joining interface was characterized by a concavity of aluminum that was extruded downwards into the polymeric molten pool, which was clinched after polymeric re-solidification. The experimental results prove the ability to join metals and polymers while creating an integral channel in a single process step using HFSC. Despite the positive effect of irregular shaped channels on heat exchange, the numerical models evidenced a detrimental effect of 14.3 and 16.3% on ultimate tensile and flexural loads, respectively. This way, this fabrication technology evidenced promising characteristics that are suitable for manufacturing thermal management systems such as conformal cooling for plastic injection molding or battery trays for EVs. Full article

Background/Objectives: Sleep quality and daytime sleepiness influence vigilance and motor control, but their joint contribution to injury risk in physically active young adults remains unclear. This study examined sex-specific associations between sleep quality, daytime sleepiness, and injury occurrence in university students. Methods: A cross-sectional sample of 418 students (199 males, 219 females) was analyzed. Sleep quality (PSQI), daytime sleepiness (ESS), and 12-month injury occurrence were assessed with validated questionnaires. Bivariate χ² tests examined individual associations. Sex-stratified log-linear models evaluated classical (multiplicative) interactions between sleep quality (SQ), excessive daytime sleepiness (EDS), and injury (INJ). Additive interaction was assessed using Poisson-derived risk ratios (RR₁₀, RR₀₁, RR₁₁) and synergy indices (RERI, AP, S). Results: Poor sleep quality was significantly associated with injury occurrence (χ² = 4.76, p = 0.029; OR = 1.60, 95% CI: 1.05–2.45), driven primarily by females (χ² = 5.39, p = 0.020; OR = 1.98). In males, interaction plots showed non-parallel slopes and log-linear modeling supported significant two-way dependencies (ΔG² = 18.37, p < 0.001), but the three-way interaction was not significant (p = 0.119). In females, relationships were fully additive (ΔG² = 0.011, p = 0.917). Additive interaction metrics indicated no synergy in males, whereas females showed a mild supra-additive pattern (RR₁₁ = 1.61). Importantly, logistic regression models showed that sleep factors explained only 0.6–1.2% of variance in males and up to 4.3% in females, indicating limited overall predictive value. Poor sleep quality contributed modestly to injury occurrence, while daytime sleepiness added minimal explanatory improvement. Conclusions: Sleep–injury relationships were sex-specific. Poor sleep quality was the most consistent predictor of injury—especially among females—while interaction patterns differed between sexes. Sleep factors contributed modestly to injury risk and should be interpreted within a broader framework of intrinsic determinants in physically active young adults. Full article

We consider a model problem of polarization-dependent light bending and time delays in the vicinity of neutron stars endowed with magnetar-strength magnetic fields (B∼${10}^{15}\mathrm{G}$), combining an effective-metric formulation of Heisenberg–Euler nonlinear electrodynamics with general-relativistic ray tracing. The spacetime geometry is analyzed using both the Kerr metric and a quadrupole-deformed q-metric, characterized by a quadrupole parameter varying in the range $q\in [{10}^{-3},0.5]$. In addition, the impact of complex magnetic-field topologies is examined by introducing a magnetic quadrupole component alongside the dipole configuration. The simulations performed in this study demonstrate that the inclusion of the quadrupole deformation parameter significantly modifies photon trajectory deflections compared to the standard Kerr solution. We further quantify the geometric dilution of the photon beam, finding a cross-section expansion ratio of approximately $4.7\times {10}^{13}$ for rays reaching Earth. This strong dilution imposes stringent constraints on the detectability of polarization-dependent signatures and time-delay echoes. Finally, characteristic illustrations are presented for trajectory distortions, bending-angle distributions, and intensity valleys produced by the combined gravitational and magnetic lensing effects. Full article

Introduction: Functionality, anthropometric measurements (BMI, arm circumference), and handgrip strength (HGS) are crucial for assessing the health of older adults, as HGS is a strong predictor of frailty and independence, correlating with muscle mass loss (sarcopenia) and the risk of falls. Background/Objectives: To analyze the relationship between functional capacity, anthropometric measurements, and handgrip strength in community-dwelling older adults. Methods: A descriptive, exploratory, cross-sectional study with a quantitative approach was conducted with 225 older adults monitored at two Family Health Units, using the Barthel Scale, Lawton and Brody Scale, anthropometric measurements (body mass index, waist, calf, and brachial circumferences), and dynamometry as instruments. Spearman’s test was used for correlations, with interpretation by shared variance and comparison of magnitudes by Steiger r-to-z method. A higher frequency of females (65.8%) was observed, in the age range between 60 and 68 years (51.1%), independent in Basic Activities of Daily Living (76.9%) and dependent in Instrumental Activities of Daily Living (99.1%). The analysis revealed that waist circumference showed a significant correlation with waist-to-hip ratio (ρ-value 0.604; p-value < 0.01) and body mass index (ρ-value = 0.696; p-value < 0.01). These associations showed shared variances of 36.5% (waist circumference and waist-to-hip ratio) and 48.4% (waist circumference and body mass index). Waist-to-hip ratio showed a significant positive correlation with waist-to-hip ratio (ρ-value = 0.256; p-value < 0.01) and body mass index (ρ-value = 0.198; p-value < 0.01). However, these relationships showed lower shared variances at 6.5% with waist-to-hip ratio and 3.9% with BMI. The Lawton scale showed a statistically significant negative correlation with hand grip strength (ρ-value = −0.176; p-value < 0.01). Conclusions: There is a significant relationship between functional capacity, anthropometric measurements, and hand grip strength in community-dwelling older adults, reflecting the interaction between physical performance, body composition, and autonomy. Full article

Background: Differentiating true tumor progression (TP) from treatment-related pseudoprogression (PsP) in glioblastoma remains challenging, especially at early follow-up. Methods: We present the first timepoint-specific, cross-sectional benchmarking of deep learning models for follow-up MRI using the Burdenko GBM Progression cohort (n = 180). We analyze different post-RT scans independently to test whether architecture performance depends on timepoint. Eleven representative DL families (CNNs, LSTMs, hybrids, transformers, and selective state-space models) were trained under a unified, QC-driven pipeline with patient-level cross-validation. Across both timepoints, accuracies were comparable (~0.70–0.74), but discrimination improved at the second follow-up, with F1 and AUC increasing for several models, indicating richer separability later in the care pathway. Results: A Mamba+CNN hybrid consistently offered the best accuracy–efficiency trade-off, while transformer variants delivered competitive AUCs at substantially higher computational cost, and lightweight CNNs were efficient but less reliable. Performance also showed sensitivity to batch size, underscoring the need for standardized training protocols. Notably, absolute discrimination remained modest overall, reflecting the intrinsic difficulty of TP vs. PsP and the dataset’s size and imbalance. Conclusions: These results establish a timepoint-aware benchmark and motivate future work incorporating longitudinal modeling, multi-sequence MRI, and larger multi-center cohorts. Full article

Credit cards play a central role in household financial behavior by combining payment and short-term financing functions shaped by socioeconomic, cognitive, and attitudinal factors. This study examines the determinants of credit card use and repayment behavior in Ecuador, focusing on purchasing power, financial literacy, and institutional trust. A quantitative, cross-sectional, and explanatory design was applied to a probabilistic sample of 550 credit card users from Quito and Santo Domingo. Multivariate analyses and Partial Least Squares Structural Equation Modeling (PLS-SEM)—including formative and hierarchical constructs—were used to validate the proposed behavioral framework. The results show that higher income is associated with more responsible repayment, while financial literacy and trust mediate this relationship through cognitive and attitudinal mechanisms. Moderate R² values and small-to-moderate f² effect sizes align with patterns observed in other Latin American credit markets. Behavioral differences also emerge across age, gender, and household composition, underscoring the heterogeneity of financial capability in the region. The findings demonstrate that responsible credit card indebtedness depends not only on economic capacity but also on financial knowledge and institutional trust, offering practical implications for financial inclusion policies and targeted education programs in emerging economies. Full article

Constructed-response items offer rich evidence of writing proficiency, but the linguistic signals they contain vary with grade level. This study presents a cross-sectional analysis of 5638 English Language Arts essays from Grades 6–12 to identify which linguistic features predict proficiency and to characterize how their importance shifts across grade levels. We extracted a suite of lexical, syntactic, and semantic-cohesion features, and evaluated their predictive power using an interpretive dual-model framework combining LASSO and XGBoost algorithms. Feature importance was assessed through LASSO coefficients, XGBoost Gain scores, and SHAP values, and interpreted by isolating both consensus and divergences of the three metrics. Results show moderate, generalizable predictive signals in Grades 6–8, but no generalizable predictive power was found in the Grades 9–12 cohort. Across the middle grades, three findings achieved strong consensus. Essay length, syntactic density, and global semantic organization served as strong predictors of writing proficiency. Lexical diversity emerged as a key divergent feature, it was a top predictor for XGBoost but ignored by LASSO, suggesting its contribution depends on interactions with other features. These findings inform actionable, grade-sensitive feedback, highlighting stable, diagnostic targets for middle school while cautioning that discourse-level features are necessary to model high-school writing. Full article

Corporate governance plays a critical role in strengthening transparency and sustainable performance in emerging European markets. Romania offers a distinct context marked by concentrated ownership, uneven governance adoption and ongoing alignment with EU and OECD standards. Despite recent reforms, limited evidence exists on how governance mechanisms shape firm performance. This study examines the impact of board size, board independence, CEO duality, institutional ownership and audit committee independence on five performance indicators (ROA, ROE, EPS, NPM, PER) for Romanian listed companies between 2016 and 2024. Drawing on Agency, Stewardship, Resource Dependence and Stakeholder theories, this research tests hypotheses linking governance design to operational efficiency, shareholder returns and market valuation. Using an unbalanced panel and estimated GLS with panel-corrected standard errors, the analysis addresses heterogeneity, autocorrelation and cross-sectional dependence. Results show that board and audit independence, as well as institutional investors, improve operational performance, CEO duality yields mixed effects, while board size follows a non-linear pattern. Market valuation responds positively to stronger governance structures. The study offers the most comprehensive evidence to date for Romania and provides practical implications for firms and policymakers. Full article

Positive eating behaviors may be linked to improved health outcomes, but reliable assessment tools are scarce. This study aims to translate the Positive Eating Scale (PES) into Chinese (PES-C), culturally adapt it, and examine its psychometric properties and its relationship with psychological symptoms among Chinese college students. A two-stage cross-sectional study was conducted from October 2024 to April 2025. A total of 800 valid questionnaires were collected in Stage 1 and 1882 in Stage 2. PES-C showed good structural validity (CFI = 0.991, RMSEA = 0.067) and high internal agreement (Cronbach α = 0.963), with measurement invariance established across gender and ethnicity. Correlation analysis showed that PES-C score was significantly negatively correlated with depression (PHQ-9, r = −0.24) and anxiety (GAD-7, r = −0.22), positively correlated with the frequency of vegetable consumption (r = 0.13–0.18), and negatively correlated with beverage consumption (r = −0.01–−0.17). These findings indicate that positive eating attitudes help improve psychological symptoms and may also affect food choices. PES-C is a dependable and effective tool for assessing the eating behaviors of Chinese university students, offering both theoretical and practical support for campus nutrition and mental health promotion programs. Full article

As life expectancy increases, the disease profile of the population also changes, with a higher prevalence of chronic diseases and reduced functional capacity, which increases the risk of social isolation and vulnerability. The aim of this study was to identify the association between functionality, depressive symptoms, and fragility in elderly adults in primary care. This is an exploratory, descriptive study with a quantitative approach and a cross-sectional design, carried out in a municipality in the interior of southwestern Bahia. The instruments used were the Mini-Mental State Examination (MMSE), a sociodemographic questionnaire on health conditions, the Edmonton Fragility Scale (EFS), and the Self-Reported Fragility Scale. The data were analyzed through descriptive analyses with absolute and relative frequencies and the application of the Chi-square test, adopting a value of p ≤ 0.05. Results: A statistically significant difference was found between elderly adults classified as frail and female gender (p = 0.019), marital status without a partner (p = 0.001), dependence in BADL (p = 0.008), dependence in IADL (p-value = 0.000), and the presence of depressive symptoms (p = 0.000). Conclusion: This study found an association between marital fragility related to being without a partner, dependence in IADL (instrumental activities of daily living), and the presence of depressive symptoms. Full article

Background: Nosocomial infections represent a significant clinical burden due to high morbidity, mortality and healthcare costs. Invasive fungal infections, particularly those caused by Candida species, are of growing concern due to increasing antifungal resistance, which limits therapeutic options and worsens patient outcomes. This study aimed to characterize the prevalence, species distribution, antifungal susceptibility profiles, and molecular mechanisms of resistance in clinical Candida isolates from hospitalized patients. Methods: A cross-sectional study was conducted involving 55 hospitalized patients, yielding 60 isolates from blood, secretions, fluids, and catheter tips. Species identification was performed using chromogenic media and confirmed by MALDI-TOF MS. Antifungal susceptibility testing followed CLSI M27-A4 broth microdilution guidelines for amphotericin B, fluconazole and 5-flucytosine. Gene expression of ERG2, ERG11 and MDR1 was evaluated by RT-qPCR after exposure to subinhibitory antifungal concentrations using the 2^−∆∆Ct method. Results:Candida albicans was the most frequent species, followed by Nakaseomyces glabratus, C. tropicalis and C. parapsilosis. Resistance varied among species, with elevated rates for fluconazole. ERG2 was notably overexpressed in amphotericin B-resistant isolates, while ERG11 and MDR1 showed species-dependent variation. Conclusions: Resistance mechanisms in Candida are species-specific and drug-dependent. Accurate species identification and understanding their molecular profiles are essential to guide targeted antifungal therapy and improve clinical outcomes. Full article