Search Results (5,343)

Background/Objectives: Telomeres are critical biomarkers of biological aging, with shortened leukocyte telomere length strongly linked to all-cause mortality and age-related disease risk. Although exercise modulates telomere dynamics, the field’s evolution from descriptive measurements to mechanistic inquiries involving redox biology and epigenetics remains incompletely mapped. This study systematically characterized the global research landscape of telomere–exercise science over 25 years to establish a strategic evidence base for precision exercise prescription. Methods: A bibliometric analysis was conducted on 858 publications from the Web of Science Core Collection (2000–2025). CiteSpace and VOSviewer were used for keyword co-occurrence analysis, strategic thematic mapping, and citation burst detection to visualize global research trends and identify emerging frontiers. Results: Annual publication volume grew from 2 (2000) to 71 (2025), with a compound annual growth rate of 15.4%. China emerged as one of the leading global contributors. Thematic analysis revealed a paradigm shift from descriptive leukocyte telomere length studies toward mechanistic investigations of oxidative stress, mitochondrial homeostasis, and epigenetic clocks. Keyword network analysis confirmed oxidative stress and inflammation as central hubs, mediating telomere protection via redox regulation and non-canonical telomerase functions. Conclusions: Exercise preserves telomere integrity primarily through redox–mitochondrial homeostasis, hormesis-driven antioxidant upregulation, and non-canonical telomerase activation. For aging populations and individuals at metabolic risk, aerobic training and high-intensity interval training (HIIT) are recommended as first-line non-pharmacological interventions for healthspan extension. Leukocyte telomere length and telomerase activity should be integrated as biomarkers in preventive medicine practice. Future large-scale randomized controlled trials incorporating multi-omics approaches and sex-stratified analyses are warranted to establish individualized dose–response guidelines for precision exercise prescription. Full article

Drug use, mental health, and gender identity are complex phenomena influenced by multiple social, psychological, and cultural factors. Previous research indicates that the university stage represents a period of vulnerability for mental health, especially among students whose gender identity differs from the traditional categories of man or woman. This study aimed to examine the association between gender identity, drug use, and symptoms of anxiety and depression among students at a public university in Mexico. A cross-sectional correlational study was conducted through a public invitation survey among undergraduate students enrolled in a public university in Mexico. Data were collected using the Drug Use Questionnaire for University Students administered through the LimeSurvey platform. Variables included sociodemographic characteristics, gender identity (man, woman, and other identity), drug use, and symptoms of anxiety and depression. The results indicate that students who identified with another gender identity showed a higher likelihood of using the substances analyzed compared with those who identified as women, particularly prescription drugs and marijuana. Additionally, they presented higher odds of reporting anxiety and depressive symptoms compared with those who identified as men. These findings highlight the need for targeted prevention and support strategies to improve mental health among students with diverse gender identities. Full article

Background/Objectives: Dementia and cognitive decline place increasing demands on healthcare systems, rehabilitation services, long-term care, and community-based prevention. Structured exercise training is a promising strategy for adults at risk of cognitive decline, but it remains unclear how intervention studies integrate cerebrovascular and cognitive outcomes in ways that can inform clinical translation, rehabilitation planning, and exercise prescription. Methods: This scoping review followed PRISMA-ScR guidance. PubMed/MEDLINE and Scopus were searched for peer-reviewed English-language studies published from 2010 to 2026, supplemented by reference list checking and citation chasing. Eligible studies were human intervention studies involving structured exercise training and at least one cerebrovascular, vascular, brain-related, or cognitive outcome. Studies were mapped by exercise modality, population risk profile, grouped outcome domain, and outcome-integration category. Results: Fifty-four studies were included. A central finding was the vascular cognitive integration gap: only 7 studies assessed both cerebrovascular and cognitive outcomes within the same intervention design, whereas 38 studies reported cognitive outcomes only and 9 reported cerebrovascular or vascular outcomes only. Aerobic training formed the most developed evidence cluster for direct cerebrovascular outcomes, whereas other modalities were more often represented in cognition-focused studies but less frequently included direct cerebrovascular measures. Conclusions: Current evidence is limited by a major vascular cognitive integration gap. Because most exercise intervention studies separate cerebrovascular and cognitive outcomes, the field cannot yet determine whether exercise-induced cerebrovascular adaptations correspond to cognitive improvements in the same participants. Future trials should combine cerebrovascular assessment, domain-specific cognitive testing, dose reporting, adherence monitoring, safety reporting, feasibility evaluation, and mechanistic biomarkers to support more precise exercise prescription for dementia risk mitigation and cognitive health promotion. Full article

Psychological empowerment is associated with women’s well-being, yet how it translates into life satisfaction in high-informality Latin American settings remains untested—as does whether empowerment must cross a threshold before any benefit appears. We tested mediation and moderation hypotheses as separate questions with 251 women aged 18–44 from three northern Peruvian regions using PLS-SEM with 5000 bootstrap resamples. Coping engagement fully mediated the empowerment–life satisfaction relationship (indirect β = 0.134, 95% CI [0.065, 0.213]; VAF = 87.6%; R² [engagement] = 0.070, R² [life satisfaction] = 0.285); the direct path was non-significant (β = 0.019, p = 0.754). Mediation and moderation were examined as separate analytical questions; the formal index of moderated mediation was non-significant, indicating that the indirect effect did not differ significantly across subgroups. In exploratory threshold analyses, empowerment predicted life satisfaction only above a normative cut-point anchored to the IMWE scoring manual (≥136; β = 0.382, p < 0.001); below it, the association was flat (β = 0.047, p = 0.547). This pattern is instrument-anchored rather than empirically derived and should be treated as hypothesis-generating pending replication with an independently optimized cut-point. Age moderated the engagement–satisfaction link (β = −0.239, p = 0.031), with stronger effects among younger women; motherhood amplified the negative impact of disengagement on satisfaction (β = −0.272, p = 0.021). Tentatively, programs that move participants only modestly along the empowerment continuum may under-deliver on well-being outcomes, though firm prescriptions require independent confirmation; tailored design for mothers and younger women is warranted. Full article

Adults with type 1 diabetes mellitus (T1DM) face elevated cardiovascular risk, and regular exercise is a key non-pharmacological mitigation strategy. However, safe prescription requires cardiovascular and glycemic monitoring, often unfeasible in real-world gyms. Low-cost psychophysiological tools (ratings of perceived exertion—RPE and enjoyment) may offer practical alternatives. This exploratory randomized crossover trial examined whether post-session RPE and enjoyment are associated with acute heart rate (HR) and capillary blood glucose (BG) responses to gym-based aerobic and resistance training. Twelve adults with T1DM (29.8 ± 7.8 years; HbA1c 7.7 ± 1.6%; LDL-c 119.5 ± 24.4 mg/dL) completed three ~30 min sessions: aerobic interval training (AE) and two resistance protocols (STA, STB). HR and BG were measured pre-, immediately post-, and 20 min post-exercise; RPE and enjoyment, post-session. Multiple linear regression, controlling for exercise session type, examined associations of RPE and enjoyment with resting HR, BG, and percentage of heart rate reserve (%HR). RPE was higher after STA and STB than AE (p < 0.001; η²p = 0.529), while enjoyment and %HR were similar across sessions. Neither variable was associated with resting HR or BG (all adjusted R² < 0; all p > 0.05). Controlling for exercise session type, RPE was a significant positive predictor of %HR (β = 0.44, p = 0.044), whereas enjoyment was not (β = −0.06, p = 0.719); however, the overall %HR model did not reach statistical significance (adjusted R² =0.119; F(4,31) = 2.183; p = 0.094). These exploratory findings suggest that RPE, but not enjoyment, may serve as a low-cost adjunct intensity marker to inform exercise prescription in adults with T1DM at elevated cardiovascular risk; however, replication in larger samples is needed before clinical recommendations can be drawn. Direct BG monitoring remains essential for safety. Full article

Youth soccer performance is influenced by multiple factors, including age, body size, and physical capacities, but the relative contribution of these variables to aerobic and explosive performance remains unclear. Understanding these relationships can improve the interpretation of field tests and support individualized training prescription. This study was designed to examine the association of age category, body mass, and height with physical performance in youth soccer players by jointly considering aerobic and explosive capacities, in order to support the interpretation of field tests within training prescription. Forty-five male players (15 U16, 15 U17, 15 U19) from the same club were assessed across two standardised on-field testing sessions, including the 45–15 test (estimated maximal aerobic speed, MAS) and vertical jump tests (squat jump, SJ; countermovement jump, CMJ; countermovement jump with free arms, CMJ_FH). Performance variables (SJ, CMJ, CMJ_FH, MAS) were treated as outcomes, while category, body mass, and height were included as predictors. A multivariate analysis was performed, followed by univariate analyses for each indicator. Results showed a significant multivariate effect of age category on overall performance (p < 0.001; η²p = 0.482), whereas height and body mass were not significant (p > 0.05). In univariate analyses, age category was associated with all variables: SJ (p = 0.005; adj. R² = 0.160), CMJ (p < 0.001; adj. R² = 0.287), CMJ_FH (p = 0.004; adj. R² = 0.173), and MAS (p < 0.001; adj. R² = 0.352). Performance increased progressively from U16 to U17 to U19, with larger between-category differences in aerobic capacity. In conclusion, age category was more strongly associated with the performance profile than height and body mass when considered jointly; these findings should be interpreted in light of the observational design and the lack of biological maturation measures. Full article

Runway systems serve as the critical interface between airports and terminal airspace, and their efficient operation is essential for balancing air traffic demand and airport capacity. With the continuous growth of air traffic, intelligent runway demand and capacity management has become increasingly important for mitigating congestion and delays. This paper presents a comprehensive review of runway capacity–demand management from both supply-side and demand-side perspectives. On the supply side, runway configuration selection is reviewed, including runway configuration capacity envelopes, influencing factors, and existing optimization methodologies, such as prescriptive models, descriptive models, and reinforcement learning approaches. On the demand side, flight runway sequencing for arrivals, departures, and integrated arrival–departure operations is systematically analyzed. Problem analogies, operational characteristics, optimization objectives, and solution algorithms are discussed in detail. A critical comparison of existing methodologies is conducted from the perspectives of solution quality, real-time capability, human interpretability, technology readiness, trust requirements, and human–AI collaboration. Finally, future research directions are identified, including integrated runway management, multi-airport coordination, uncertainty-aware optimization, human–AI decision support, AI-enabled runway management, and integrated manned–unmanned operations. The review provides a reference for researchers, airport operators, air navigation service providers, and decision-support system developers seeking to improve runway operational efficiency and safety. Full article

Objectives: Explore and compare the effects of 8-week time-restricted eating (TRE), walking exercise, and their combination on fat and lean muscle distribution in female college students with hidden obesity. Methods: A total of 68 participants were randomly assigned to four groups: Control (CON), TRE, Exercise (EXE), and TRE + EXE. An 8-week intervention was begun according to a predetermined experimental plan, comparing changes in body fat and lean tissue indices before and after the intervention. Results: Before and after the intervention, the TRE group showed a significant decrease in body mass, body mass index (BMI), and total lean mass (p < 0.05). The EXE group saw a significant reduction in visceral fat area, visceral fat mass, and visceral fat volume (p < 0.01). The TRE + EXE group experienced a significant decrease in android lean mass (p < 0.05); Comparing before and after the intervention, there were no statistically significant differences in the body fat percentage, total fat mass, fat and lean in the android and gynoid areas, and %fat in trunk/%fat in legs among the CON, TRE, EXE, and TRE + EXE groups (p > 0.05). After the intervention, there were no significant differences in the body fat percentage, total fat mass, total lean mass, fat and lean in the android and gynoid areas, %fat in trunk/%fat in legs, visceral fat area, visceral fat mass, visceral fat volume, subcutaneous fat area, subcutaneous fat mass, and subcutaneous fat volume among the four groups (p > 0.05). Conclusions: An 8-week TRE intervention in young women with hidden obesity reduced body mass and BMI but also decreased total lean mass, potentially compromising metabolic health, with no statistically significant changes in total body fat or regional fat distribution. Walking exercise showed significant reductions in visceral adiposity indicators (VFA, VFM, VFV), whereas the combined TRE + EXE group did not achieve comparable reductions. These findings suggest that while isolated TRE facilitates body mass loss, it carries a distinct risk of muscle tissue loss and may not confer comparable benefits on visceral fat reduction as walking exercise. However, the generalizability of these preliminary observations is constrained by methodological limitations including retrospective registration, participant attrition, and restricted statistical power. Consequently, these exploratory outcomes must be interpreted with caution, warranting future robust, large-scale trials with enhanced compliance monitoring to optimize prescriptive guidelines for this specific cohort. Full article

Background: Inter-individual variability in lipid response to dietary interventions complicates cardiometabolic prevention in overweight and obese women. Although several dietary strategies improve lipid profiles on average, predictors of comprehensive, multi-marker lipid improvement remain unclear. Objective: To identify baseline clinical predictors of comprehensive lipid improvement across seven dietary interventions and to evaluate the performance of three machine learning (ML) classifiers in predicting a composite Global Score. Methods: This secondary analysis pooled individual-level data from 284 overweight or obese women enrolled in three randomized controlled trials (RCTs). Participants were assigned to continuous energy restriction (CER), intermittent energy restriction (IER), intermittent energy and carbohydrate restriction (IECR), IECR with added protein and fat (IECR+PF), high-carbohydrate, high-monounsaturated-fat, or daily energy-restriction diets. Eleven baseline clinical features served as predictors. Four binary lipid improvement scores (TC/HDL, LDL/HDL, non-HDL cholesterol, TG/HDL) were calculated from baseline to week 12, and a composite Global Score was defined as TRUE only when all four improved. Three ML classifiers (J48, Logistic Model Tree [LMT], Random Forest) were evaluated using stratified 10-fold cross-validation. Results: Overall, 30–35% achieved improvement in the Global Score. Improvement rates varied across diets, with High Mono and High Carb showing the highest rates (48.4%). LMT performed best (AUC = 0.66; accuracy = 70%). Baseline TG, BMI, age, total cholesterol, and weight were the strongest predictors. Conclusions: Comprehensive lipid improvement varies across dietary strategies and is influenced by baseline triglycerides, adiposity, age, and diet type. ML-based stratification may support personalized dietary prescriptions. Full article

Objectives: This study investigated the effects of exercise selection and rest interval duration on post-exercise cardiac autonomic modulation following resistance exercise (RE). Methods: Eleven (4 females) resistance-trained individuals performed a single RE session consisting of either a multi-joint exercise (back squat) or a single-joint exercise (leg extension), using rest intervals of 1 or 2 min between sets. Heart rate variability (HRV) was assessed at baseline (pre-exercise) and 30 min following the RE session. RR intervals were recorded for 15 min with participants resting in the supine position on an examination bed in a quiet environment. For HRV analysis, a 5-min artifact-free segment of RR intervals was selected and processed using Kubios HRV software, version 4.3.0 (Kubios Oy, Kuopio, Finland). The HRV metrics analyzed included the root mean square of successive differences (RMSSD), low-frequency normalized (LF), the low-frequency/high-frequency (LF/HF) ratio, and the standard deviation of transverse dispersion (SD1). Results: A significant main effect of time was observed for RMSSD, LF, and the LF/HF ratio. The back squat exercise elicited a significant reduction (p < 0.05) in vagal-related indices (RMSSD and SD1) regardless of interval duration. Longer rest intervals were associated with increased (p < 0.05) sympathetic modulation, as reflected by higher LF and LF/HF values 30 min post-exercise. No significant time × group interactions were observed for most HRV variables. Conclusions: Exercise selection and rest interval duration differentially influence post-exercise cardiac autonomic responses following RE. Multi-joint exercises induce greater vagal withdrawal, whereas longer rest intervals favor sympathetic predominance during recovery. These findings highlight the importance of manipulating RE variables to manage autonomic stress and recovery. Full article

On background cosmological scales, after subtraction of peculiar velocities and local bound-system motions, observed cosmological signals are redshifted rather than blueshifted. Yet, redshift alone does not distinguish the past lightcone of an expanding Universe from the future lightcone of a contracting one. In practice, the identification of the observed redshifted branch with the observational past is set primarily by electromagnetic radiation, whose retarded character is independently established in controlled physics, albeit over non-cosmological scales. From that perspective, the observed cosmological arrow is not separable from the causal/radiative prescription used to interpret the signals. This effective entanglement between the cosmological and the radiative arrows should nevertheless be distinguished from the notion of arrow used in the present work. Here instead, the relevant arrow is not thermodynamic but kinematic; it is defined by the symmetry or asymmetry of background lightcone observables under $\xi \leftrightarrow -\xi$, where $\xi \equiv ln(1+z)$ and z is the redshift—a criterion motivated directly by the time-reversal-symmetric special-relativistic longitudinal Doppler shift. Equivalently, the arrow considered here is the observed redshift/blueshift asymmetry of cosmological lightcone signals; retarded observations of an expanding FRW Universe are in the redshifted branch, whereas the opposite rapidity orientation would correspond to the blueshifted branch. This naturally suggests using rapidity-reversal symmetry as the redshift-space no-arrow condition when passing from special relativity (SR) to Friedmann–Robertson–Walker (FRW) cosmology, where the empty Milne Universe is a bridging borderline case. In fact, the viewpoint advocated here is that $\xi$-symmetry/asymmetry is practically more fundamental than t-symmetry/asymmetry simply because the former is more readily related to cosmological observables. It is shown here that generic non-empty FRW Universes possess an intrinsic $\xi$-asymmetry already at the background level, independently of entropy, coarse-graining, structure growth, or a Past Hypothesis. Full article

As High-Performance Computing (HPC) architectures evolve towards the Exascale, storage infrastructure reliability has emerged as a critical operational challenge, with traditional reactive and static preventive maintenance strategies proving increasingly insufficient. This study addresses this gap by proposing a comprehensive methodological framework for the transition from predictive to predictive-prescriptive maintenance in large-scale storage environments. By integrating the CRISP-DM industry standard with a multi-layered eXplainable Artificial Intelligence (XAI) suite, we develop a system capable of isolating hardware degradation signals amidst massive volumes of routine telemetry. To validate our approach, we leveraged a publicly available disk failure dataset to evaluate multiple Machine Learning configurations, addressing the challenge of severe class imbalance through optimized oversampling and Gradient Boosting algorithms. The methodology employs global and local XAI techniques, including Permutation Feature Importance, SHAP, and surrogate decision trees, to translate probabilistic risk assessments into auditable hardware engineering rules. Our results demonstrate that this hybridization of robust predictive modeling with multi-layered explainability provides a transparent, evidence-based decision support system. Ultimately, we conclude that converting opaque risk predictions into technical justifications enables infrastructure managers to optimize hardware lifecycle management and minimize system downtime in mission-critical environments, establishing a viable pathway toward more resilient and auditable storage management. Full article

The prescription and recommendation of prebiotics and probiotics by healthcare professionals remain an evolving area of research. Despite increasing recognition of their benefits in modulating the gut microbiome, healthcare professionals including dietitians, often lack standardised guidelines and sufficient training to integrate them into practice. Barriers to implementation include insufficient clinical evidence, cost, uncertainty regarding strain-specific efficacy, and a lack of consensus on appropriate therapeutic applications. Studies indicate that while many healthcare professionals acknowledge the potential benefits of these products, their hesitancy arises from insufficient supporting research evidence and associated education. Future efforts should concentrate on enhancing clinical guidelines, improving educational programs for healthcare professionals, and conducting large-scale trails to establish evidence-based recommendations. Additionally, integrating gut microbiome sequencing into clinical decision-making could improve personalised nutrition and optimise the prescription of prebiotics and probiotics. Further research is necessary to address knowledge gaps and promote effective, evidence-based use of these interventions by healthcare professionals. This review explores current prescribing practices, knowledge, and perceptions of healthcare professionals regarding prebiotics and probiotics with a particular focus on the evidence, education, and implementation gaps that may influence their clinical application. Full article

Background and Objectives: Human immunodeficiency virus (HIV) infection is associated with immune dysregulation, which may influence the development of autoimmune diseases. However, population-based evidence on the prevalence of autoimmune diseases in individuals living with HIV remains limited, particularly in Asian populations. This study aimed to evaluate the prevalence of autoimmune diseases in individuals living with HIV in Korea using nationwide population-based data. Materials and Methods: We conducted a cross-sectional analysis using the Health Insurance Review and Assessment Service National Patient Samples from 2012 to 2015, including 4,851,064 individuals aged ≥15 years. HIV infection and autoimmune diseases were identified using ICD-10 codes. The prevalence of autoimmune diseases in individuals with HIV infection was compared with that in the general population. Antiretroviral therapy (ART) status was determined based on prescription records. Results: A total of 1023 individuals were identified with HIV infection, all of whom were receiving antiretroviral therapy. The overall prevalence of autoimmune diseases was 4.4% in males and 3.6% in females with HIV, without significant differences compared to controls. However, the prevalence of ulcerative colitis in males (p = 0.030) and of dermatomyositis in females (p = 0.011) was higher in individuals with HIV. Conclusions: Although the overall prevalence of autoimmune diseases was not significantly increased in individuals living with HIV, certain autoimmune diseases—particularly ulcerative colitis in men and dermatomyositis in women—showed a higher prevalence. As these findings were based on small case numbers, they should be approached with caution. The results are best regarded as hypothesis-generative observations that warrant further investigation rather than findings on which clinical practice should currently be based. Further research using large datasets is warranted to confirm these associations and clarify the underlying immunological mechanisms. Full article

(1) Background: While evidence supporting the use of onabotulinumtoxinA in patients with cervical dystonia (CD) is well-established, more evidence is needed to understand if onabotulinumtoxinA treatment can reduce reliance on addictive medication. (2) Methods: This retrospective study used claims data to evaluate the impact of onabotulinumtoxinA treatment on opioid, benzodiazepine (BZD), and skeletal muscle relaxant (SMR) prescription fills among patients diagnosed with CD with prior use of these medications. Among the 564 eligible patients, three non-mutually exclusive cohorts were identified based on medication use data: opioid (n = 306), BZD (n = 271), and SMR (n = 371). The follow-up period continued for 12 months after onabotulinumtoxinA treatment initiation. (3) Results: Among patients with >1 opioid fill at baseline, 30.4% had no opioid fills in the 12-month period following onabotulinumtoxinA initiation. The opioid cohort had significantly reduced mean opioid prescription fills per patient (17.0%; p < 0.0001) in the follow-up period compared with baseline. A 30.0% decrease was observed in the mean morphine milligram equivalent (MME)/day after onabotulinumtoxinA initiation (p < 0.0001). Similar trends of decreased BZD and SMR prescription fills were observed. (4) Conclusions: Following initiation of onabotulinumtoxinA treatment, patients living with CD who had prior opioid, BZD, or SMR use had significant reductions in respective prescription fills for opioids, BZDs, and SMRs. Full article