Search Results (4,950)

Aims: The present study evaluated the acute morning effect of melatonin supplementation (5 mg) on cardiometabolic responses. Methods: For this purpose, 12 physically active men (22.1 ± 1.3 years; 1.7 ± 01 m; 74.7 ± 12.1 kg; 24.3 ± 2.7 m/kg²; VO₂max: 46.9 ± 2.3 mL/kg/min; 17.3 ± 5.2%F) were measured in a double-blind crossover protocol, where participants were measured before, during, and after a high-intensity interval exercise (HIIE) protocol [4 × 4 min at 95% of maximum heart rate (HRmax) with a 3 min interval at 60–70% of HRmax] followed by 30 min of recovery. At rest, the following variables were measured: HR, systolic blood pressure (SBP), diastolic blood pressure (DBP), lactate, and maximum oxygen consumption (VO₂max). At the end of each stage and interval, VO₂, respiratory exchange ratio (RER), and HR were measured. During recovery, VO₂, VCO₂, RER, SBP, DBP, and HR were measured. Results: Melatonin significantly enhanced recovery metabolism, as evidenced by increased VO₂ at Interval 3 (+2.2 mL/kg/min, p = 0.03, d = 0.69) and 5 min postexercise (+2.4 mL/kg/min, p = 0.02, d = 0.81). The RER was higher during Sprint 4 (+0.08, p = 0.01, d = 0.84), indicating greater carbohydrate reliance. Cardiovascular recovery was also improved, with a reduced HR at 30 min (−5 bpm, p = 0.04, d = 0.66) and lower SBP at 15 min (−8 mmHg, p = 0.02, d = 0.75). Lactate concentration at 30 min was lower with melatonin (−0.7 mmol/L, p = 0.03, d = 0.72). No significant effects were observed at rest or during early exercise. Conclusions: Acute morning melatonin intake may amplify metabolic responses to HIIE while facilitating cardiometabolic recovery. This dual-phase action may benefit athletes aiming to optimize energy expenditure, fat metabolism, and recovery during early-day training. Full article

Background: The training impulse (TRIMP) method integrates exercise duration and intensity, yet its application in school-based health programs is limited. This study examined dose–response relationships between TRIMP and changes in body fat percentage (%BF), blood pressure, and cardiorespiratory fitness (CRF) in adolescents. Methods: 145 adolescents (69 males, 76 females; aged 15.01 ± 0.54 years) completed eight-week interval-based physical education programs: high-intensity interval training (HIIT) or high-intensity plyometric training (HIPT). Heart rate was continuously monitored, and TRIMP values were calculated across 16 sessions. Outcomes included %BF, systolic (SBP) and diastolic blood pressure (DBP), and maximal oxygen consumption (VO_2max), assessed pre- and post-intervention. Results: HIIT elicited higher TRIMP than HIPT in females (η²p = 0.043). Linear dose–response patterns were identified (r = 0.18–0.36) (e.g., SBP in males, r = −0.38, p = 0.001; %BF in males, r = −0.36, p = 0.002). In males, one TRIMP unit reduced SBP by 1.8 mmHg (HIIT) and DBP by 1.6 mmHg (HIPT). In females, HIPT-derived TRIMP predicted reductions of ~0.6% in %BF and~0.9 mmHg in DBP. No significant associations were found for VO_2max. Conclusions: TRIMP provides a feasible and sensitive tool for quantifying internal training load in adolescent interventions, linking exercise dose to measurable health benefits and supporting its application in preventive contexts. Full article

In the evolving cyberthreat landscape, a critical challenge for intrusion detection systems (IDSs) lies in defending against meticulously crafted adversarial attacks. Traditional single-view detection frameworks, constrained by their reliance on limited and unidimensional feature representations, are often inadequate for identifying maliciously manipulated samples. To address these limitations, this study proposes a key hypothesis: a detection architecture that adopts a multi-view fusion strategy can significantly enhance the system’s resilience to attacks. To validate the proposed hypothesis, this study developed a multi-view fusion architecture and conducted a series of comparative experiments. A two-pronged validation framework was employed. First, we examined whether the multi-view fusion model demonstrates superior robustness compared to a single-view model in intrusion detection tasks, thereby providing empirical evidence for the effectiveness of multi-view strategies. Second, we evaluated the generalization capability of the multi-view model under varying levels of attack intensity and coverage, assessing its stability in complex adversarial scenarios. Methodologically, a dual-axis training assessment scheme was introduced, comprising (i) continuous gradient testing of perturbation intensity, with the $\epsilon$ parameter increasing from 0.01 to 0.2, and (ii) variation in attack density, with sample contamination rates ranging from 80% to 90%. Adversarial test samples were generated using the Fast Gradient Sign Method (FGSM) on the TON_IoT and UNSW-NB15 datasets. Furthermore, we propose a validation mechanism that integrates both performance and robustness testing. The model is evaluated on clean and adversarial test sets, respectively. By analyzing performance retention and adversarial robustness, we provide a comprehensive assessment of the stability of the multi-view model under varying evaluation conditions. The experimental results provide clear support for the research hypothesis: The multi-view fusion model is more robust than the single-view model under adversarial scenarios. Even under high-intensity attack scenarios, the multi-view model consistently demonstrates superior robustness and stability. More importantly, the multi-view model, through its architectural feature diversity, effectively resists targeted attacks to which the single-view model is vulnerable, confirming the critical role of feature space redundancy in enhancing adversarial robustness. Full article

Harvesting winter jujubes is a key step in production, yet traditional manual approaches are labor-intensive and inefficient. To overcome these challenges, we propose SCC-YOLO, a lightweight method for winter jujube detection, 3D localization, and cross-platform deployment, aiming to support intelligent harvesting. In this study, RGB-D cameras were integrated with an improved YOLOv11 network optimized by ShuffleNetV2, CBAM, and a redesigned C2f_WTConv module, which enables joint spatial–frequency feature modeling and enhances small-object detection in complex orchard conditions. The model was trained on a diversified dataset with extensive augmentation to ensure robustness. In addition, the original localization loss was replaced with DIoU to improve bounding box regression accuracy. A robotic harvesting system was developed, and an Eye-to-Hand calibration-based 3D localization pipeline was implemented to map fruit coordinates to the robot workspace for accurate picking. To validate engineering applicability, the SCC-YOLO model was deployed on both desktop (PyTorch and ONNX Runtime) and mobile (NCNN with Vulkan+FP16) platforms, and FPS, latency, and stability were comparatively analyzed. Experimental results showed that SCC-YOLO improved mAP by 5.6% over YOLOv11, significantly enhanced detection precision and robustness, and achieved real-time performance on mobile devices while maintaining peak throughput on high-performance desktops. Field and laboratory tests confirmed the system’s effectiveness for detection, localization, and harvesting efficiency, demonstrating its adaptability to diverse deployment environments and its potential for broader agricultural applications. Full article

Historically, predator control has been a frequent practice conducted in the hunting grounds of Spain. After the approval of Law 42/2007 on Natural Heritage and Biodiversity, and the enforcement of international regulations, predator control methods are required to be selective, non-massive, and conducted by trained specialists when traps are used; however, there is a lack of research on the current status of predator management. Data was gathered from 16 regional wildlife departments and from 373 questionnaires from hunting grounds targeting the conservation of small game species. Seven predatory species were included in the regional game species lists, the most frequently controlled being the red fox (Vulpes vulpes, 90.4%), wild boar (Sus scrofa, 78.3%), and Eurasian magpie (Pica pica, 51.5%), with control intensity differing among regions. In total, 87% of the questionnaire respondents declared controlling at least one predator species, while 49.3% employed gamekeepers to perform the control. In all surveyed regions, shooting was authorized, and it was the most frequent control method in hunting grounds for the aforementioned species (ranging from 76 to 100%), while the use of approved restraint methods was allowed in 11 regions but only used in 7 for foxes (8%) and magpies (25%). The control intensity (animals culled/km²) for foxes was higher when conducted by full-time keepers, while for magpies and wild boars, it was higher when conducted by hunters. The implementation of habitat management (agricultural and forest measures) that helps to reduce predation was higher in hunting grounds not conducting predator control. Based on our results, we propose a national predation management framework focused on controlling rather than removing predators. Full article

This study presents a machine learning framework for predicting traffic accident occurrence and congestion intensity using artificial neural networks (ANNs) trained on real-world traffic data collected from a central urban corridor in Egypt. The research aims to enhance proactive traffic management by providing reliable, data-driven forecasts derived from temporal and environmental road features. Sixty-seven traffic observations were recorded over three months, capturing variations across vehicle flow, speed, weather, holidays, and road conditions. Two predictive models were developed: a binary accident detection classifier and a multi-class congestion level estimation classifier. Both models employed Bayesian optimization for hyperparameter tuning and were evaluated under three validation strategies—5-fold cross-validation, 10-fold cross-validation, and resubstitution—combined with different train/test splits. The results demonstrated that the model using 10-fold cross-validation and a 75/25 split achieved the highest accuracy in accident prediction (93.8% on test data), with minimal variance between validation and testing phases. In contrast, resubstitution validation yielded artificially high training accuracy (up to 100%) but lower generalization performance, confirming overfitting risks. Congestion prediction showed similarly strong classification trends, with the optimized model effectively distinguishing between congestion levels under dynamic traffic conditions. These findings validate the use of ANN-based prediction in real-world traffic scenarios and highlight the critical role of validation design in developing robust forecasting models. The proposed approach holds promise for integrating intelligent transportation systems, enabling anticipatory interventions, and enhancing road safety. Full article

Background: The high-intensity demands of CrossFit induce respiratory muscle fatigue, potentially impairing performance via the metaboreflex. Respiratory muscle training (RMT) may mitigate this effect, but evidence in female athletes remains limited. Objective: We aimed to investigate the effects of RMT on sport-specific performance and maximal inspiratory pressure (PIMAX) in recreational female CrossFit practitioners. Design: We conducted a parallel-group randomized controlled trial. Setting: The study was conducted in a CrossFit-affiliated gym. Participants: We recruited twenty-nine recreational female practitioners (age: 30.3 ± 7.9 years) with ≥1 year of uninterrupted training who were free from respiratory diseases. Interventions: Participants were randomized to a CrossFit-only group (n = 14) or CrossFit + RMT group (n = 15). Both trained 5 days/week for 6 weeks; the RMT group additionally performed 30 inspiratory efforts at 50% of PIMAX, 5 days/week, with weekly load adjustment. Main Outcome Measures: Primary: Sport-specific performance (total repetitions in a 10-min AMRAP [As Many Rounds As Possible] test). Secondary: PIMAX (cmH₂O). Measurements were taken pre- and post-intervention. Results: Baseline performance and PIMAX were similar between groups. After 6 weeks, the CrossFit + RMT group improved in performance more (Δ = +10.5 ± 10.7 reps, p = 0.03, ηp² = 0.168) than the CrossFit-only group (Δ = +2.3 ± 8.1). PIMAX gains were also greater with RMT (Δ = +19.6 ± 8.4 cmH₂O, p = 0.043, ηp² = 0.148) vs. control (Δ = +10.1 ± 9.7). No adverse events occurred. Conclusions: Adding RMT to CrossFit training enhanced sport-specific performance and inspiratory strength in recreational female practitioners more than CrossFit alone. RMT appears to be a safe and effective complementary strategy for high-intensity functional training. Full article

Background: This study compared energy expenditure (EE), substrate metabolism, and excess post-exercise oxygen consumption (EPOC) during moderate-intensity continuous training (MICT), high-intensity interval training (HIIT), and high-intensity circuit training (HICT) isocaloric sessions. Methods: Twelve trained male participants completed isocaloric exercise sessions equalized for EE and average power (AP) across the three modalities. Postexercise EE, carbohydrate and lipid oxidation rates, and EPOC were measured 30 and 60 min after training. Results: Total EE and AP during exercise were similar between the protocols. However, EPOC was significantly higher for HIIT (319.0 ± 88.03 mL) and HICT (329.1 ± 27.79 mL) than for MICT (168.5 ± 21.84 mL), demonstrating greater post-exercise metabolic demand in high-intensity protocols. At 30 min post-exercise, carbohydrate oxidation remained elevated in the HIIT (3.70 ± 1.04 mg/kg/min) and HICT (4.06 ± 1.03 mg/kg/min) groups compared to that in the MICT group (1.42 ± 0.58 mg/kg/min), while lipid oxidation rates were also higher (HIIT: 1.08 ± 0.41; HICT: 1.20 ± 0.24 mg/kg/min; MICT: 0.61 ± 0.20 mg/kg/min). These effects persisted for 60 min, with HIIT and HICT maintaining significantly greater carbohydrate and lipid oxidation than MICT. Correlation analysis indicated a strong relationship between carbohydrate oxidation during exercise and lipid oxidation after 60 min of exercise. Conclusions: High-intensity protocols (HIIT and HICT) promote prolonged postexercise EE, enhance carbohydrate and lipid oxidation, and optimize metabolic recovery, making them effective strategies for maximizing energy utilization beyond the training session. Full article

Background: After a warm-up and before the start of sports competition, athletes often take a break. During this break, the effects of the warm-up (e.g., capillary vasodilation) may diminish. The aim of this study was to compare cardiorespiratory responses during high-intensity physical exercise, either preceded or not preceded by post-warm-up breathing, using an additional respiratory dead space volume mask (ARDSv). Methods: The study included 20 trained cyclists. Each participant completed two 3 min tests at an intensity of 110% of their maximal power, determined during a progressive test. A standardised warm-up preceded each 3 min test. Following the warm-up, there was an 8 min passive rest period. During this break, participants either breathed using ARDSv or breathed normally (non-ARDSv). The volume of the ARDSv mask was 1000 mL. Cardiorespiratory parameters were measured during the tests, including mean: oxygen uptake (VO₂av), respiratory exchange ratio (RERav), respiratory rate (RRav), tidal volume (TVav), stroke volume (SVav), and rating of perceived exertion (RPE). Results: VO₂peak was higher in participants breathing using ARDSv compared to non-ARDSv (4.22 ± 0.40 [CI: 4.03–4.41] vs. 3.98 ± 0.42 [CI: 3.79–4.18]; p = 0.002; t = 3.56; d = 0.585). Additionally, RERav (1.08 ± 0.06 [CI: 1.06–1.11] vs. 1.13 ± 0.06 [CI: 1.11–1.16]; p = 0.008; t = 2.96; d = 0.833) and RPE (18.0 ± 1.7 [CI: 17.3–18.8] vs. 18.9 ± 1.1 [CI: 18.4–19.4]; p = 0.009; Z = 2.61; r = 0.583) were lower in participants breathing using ARDSv compared to non-ARDSv. Conclusions: Breathing using ARDSv between warm-up and high-intensity exercise increases oxygen uptake and reduces perceived exertion, likely through peripheral mechanisms. These effects suggest practical applications in competitive sports and provide directions for further mechanistic research. Full article

(1) Background: The global increase in life expectancy has generated growing interest in strategies that support functional independence and quality of life among older adults. Functional fitness—including strength, mobility, flexibility, and aerobic endurance—is essential for preserving autonomy during aging. In this context, physical exercise, particularly High-Intensity Interval Training (HIIT), has gained attention for its time efficiency and physiological benefits. This randomized controlled trial aimed to evaluate the effects of a group-based HIIT program on functional fitness in older adults; (2) Methods: Functional outcomes were assessed before, during, and after a 65-week intervention using standardized field tests, including measures of upper and lower body strength, flexibility, aerobic endurance, and agility. This study was prospectively registered at ClinicalTrials.gov (NCT07170579); (3) Results: Significant improvements were observed in the HIIT group across multiple domains of functional fitness compared to the control group, notably in upper body strength, lower limb flexibility, cardiorespiratory endurance, and mobility; (4) Conclusions: These results suggest that HIIT is an effective and adaptable strategy for improving functional fitness in older adults, with the potential to enhance performance in daily activities and support healthy aging in community settings. Full article

Background/Objectives: Cerebral palsy (CP) is one of the most common causes of permanent motor disability in children, and its consequences for upper limb function have a significant impact on the patient’s independence and quality of life. Virtual reality is attracting increasing interest as a modern, engaging and effective method of physiotherapy for children with cerebral palsy. This systematic literature review aimed to synthesize current scientific data on the impact of virtual-reality-based physiotherapy on upper limb function in children with cerebral palsy. Methods: The review was conducted in accordance with PRISMA 2020 guidelines. PubMed, Science Direct, Scopus, Web of Science, Research Gate and Google Scholar databases were searched for studies published between 2010 and 2025. Six original studies meeting the following criteria were included in the analysis: virtual reality therapy, population of children with cerebral palsy, physiotherapy goals related to the upper limb and availability of full text. Results: All included studies demonstrated a positive impact of virtual reality on at least one functional parameter of the upper limb, including range of motion, muscle strength, coordination and manual precision. Task-oriented training, immersive virtual reality environments and home-based therapy supported by remote monitoring proved to be the most effective. The effects were particularly noticeable in children with moderate impairment at GMFCS I–III. Conclusions: Virtual reality represents a safe and promising technology to support upper limb physiotherapy in children with cerebral palsy. It can be used both in clinical and home settings, contributing to increased exercise intensity and motivation. Further long-term studies using high-quality methodology are needed to determine the sustainability of the effects and their impact on everyday living. Full article

Different sports require elevated visual-spatial and related cognitive abilities, which are increasingly recognized as crucial not only for athletic performance but also for broader public health implications. Sex-related differences in these abilities have often been explained through both biological and sociocultural factors, with males traditionally described as having superior visual-spatial skills. However, fewer studies have investigated how targeted physical training can enhance these abilities in women. This study aimed to analyze the influence of two different cycling interval training exercises on visual-spatial ability in women. Seventy-two healthy, active, and young women engaged in (1) a High-Intensity Interval Training (HIIT) session followed by a cognitive training (CT); or (2) a Low-Volume Interval Training (LVIT) session followed by a CT; or (3) a cognitive (COG) session, consisting of listening to music followed by a CT; or (4) a control (CTRL) session, consisting of solely listening to music. Cognitive performance was assessed at baseline and after the training sessions using the Metzler and Shepard Test (MS), the Paper Folding and Cutting Test (PFC), and the Mental Rotation Test (MRT). No significant between-group differences were observed. However, in all groups the time to complete the PFC and MRT tests was significantly lower and the number of errors was significantly smaller for the PFC test in the post-test compared with the pre-test. These findings expand the current literature by demonstrating that interval training, whether high intensity or low volume, when combined with cognitive training, may improve certain aspects of visual-spatial cognitive performance in healthy, active, young women. These findings highlight the potential of combining structured exercise with cognitive challenges. Such interventions may promote cognitive health in women and contribute to long-term public health outcomes. Full article

This study aimed to examine the proximal effects of blood flow restriction (BFR) training on shoulder muscle function and subjective discomfort during low-intensity external rotation exercise. Twenty-four healthy adults were randomly assigned to a BFR group or a control group and performed shoulder stabilization exercises with or without BFR. Outcome measures included shoulder external rotation range of motion, maximal isometric strength, muscle endurance, electromyographic activity of the rotator cuff muscles, and perceived discomfort. Both groups demonstrated significant within-group improvements in all outcomes except posterior deltoid and supraspinatus activity (p < 0.05). Between-group comparisons showed significantly greater gains in maximal strength and infraspinatus and teres minor activation in the BFR group than in the control group (p < 0.05), while discomfort and fatigue scores were also higher in the BFR group (p < 0.05). These findings suggest that BFR applied at the proximal upper arm can enhance the strength and activation of key rotator cuff muscles even when cuff placement near the shoulder is limited by anatomy. Proximal BFR may serve as an effective intervention for improving shoulder function when high-intensity exercise is contraindicated, although strategies to minimize discomfort are needed to improve clinical feasibility. Full article

Background: Rowing is a highly demanding endurance sport, requiring simultaneous work of approximately 70% of the body’s muscle mass and the combined contribution of aerobic and anaerobic energy systems. Objective: This study aimed to analyze the cardiorespiratory responses and performance characteristics of elite junior male and female rowers during maximal effort over 2000 m on a rowing ergometer. Methods: Fifteen junior rowers (six males aged 15–17 and nine females aged 15–18) participated in the study. Anthropometric data (body height, weight, and body surface area) were recorded. All participants performed a maximal 2000 m test on a Concept2 D-model ergometer. Throughout the test, oxygen uptake (VO₂), carbon dioxide production (VCO₂), heart rate, and ventilation parameters were continuously measured. Performance and physiological data were analyzed in three intensity zones, defined by ventilatory thresholds (VT1–VT3), as well as at peak exercise. Results: Significant anthropometric differences were observed between genders. In terms of performance, males completed the 2000 m test significantly faster than females (208.83 ± 87.66 s vs. 333.78 ± 97.51 s, p = 0.0253). Relative VO₂ at peak exercise was higher in males (58.73 ± 5.25 mL·kg⁻¹·min⁻¹) than females (48.32 ± 6.09 mL·kg⁻¹·min⁻¹, p = 0.0046). In most cardiorespiratory parameters, males outperformed females significantly, except for heart rate and ventilatory equivalents. Ranking analysis revealed that higher VO₂max values were generally associated with a better placement in both genders, though this relationship was not perfectly linear. Performance time was negatively correlated with VO₂Peak (r = −0.8286; p < 0.001), rVO₂Peak (r = −0.6781; p < 0.01), and O₂P_Peak (r = −0.7729; p < 0.01). Conclusions: The findings confirm significant gender differences in anthropometric and cardiorespiratory characteristics of elite junior rowers and reinforce VO₂max as a key determinant of performance. Yet, deviations from a direct VO₂max–rank correlation highlight the influence of tactical, psychological, and biomechanical factors. Future research should provide practical recommendations for monitoring performance and tailoring training to optimize adaptation and long-term athlete development. Full article

Background: In elite football, understanding how age impacts players’ physical performance is essential for optimizing training, career longevity, and team management. Objectives: This study aimed to compare variations in physical capabilities of professional football players by chronological age and identify peak performance ages. Methods: Data from 5203 match performances across 351 official games were analyzed, involving 98 male players aged 18–39 years. Physical capacities (speed, explosive actions, and endurance) were assessed using the Catapult VECTOR7 system. Results: showed that players over 32 years experienced declines in high-intensity and explosive actions, while endurance remained relatively stable with age. Peak performance occurred around 25.7 years for speed, 24.8 years for endurance, and 26 years for explosiveness. Conclusions: Overall, players aged 17–26 years demonstrated the highest physical performance, with notable declines observed in older age groups. Full article