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Maximizing performance in child footballers: chronotype and time of day study
No full textBackground: A limited number of studies have investigated the effects of circadian rhythm-based running exercise interventions on physical fitness in child athletes. This study aimed to investigate the effects of an eight-week morning and evening running program on lower extremity strength, agility and respiratory function in 10–12-year-old male footballers. Methods: Participants visited the laboratory three times, with one-day intervals before and after the training program. The assessments included maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the FEV1/FVC ratio. Additionally, agility and functional performance tests (FPTs) were conducted for both the dominant and non-dominant legs. Results: The findings indicated that morning running was more effective than evening running in enhancing respiratory function. Morning running also showed superior results in lower extremity strength tests, particularly in the single-leg (SL) and triple-leg (THD) crossover hop for distance tests (CHDs) and the 6-m timed-hop test (6 m THT). Furthermore, the agility performance of the morning running group was significantly better than that of the evening and control groups. Conclusion: Consequently, morning running interventions had a positive impact on key physical fitness parameters, including respiratory muscle strength, respiratory function, agility, and lower extremity strength in child footballers. Copyright © 2025 Kaba, Engin Çelikel, Adanur, Yılmaz, Yonca Sezer, Tan, Durhan, Özer and Ceylan.2-s2.0-10502072598
Synergistic Effects of Exercise and Nano-Curcumin Supplementation in Women with Lifestyle-Related Diseases: A Scoping Review
No full textBackground/Objectives: Lifestyle-related diseases such as obesity, diabetes, hypertension, metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), and osteoarthritis disproportionately affect women due to hormonal, metabolic, and socio-cultural factors. Emerging evidence suggests that combining structured exercise with nano-curcumin, a bioavailable phytochemical formulation with potent antioxidant and anti-inflammatory properties, may provide synergistic benefits. This scoping review systematically synthesizes available evidence on the combined effects of nano-curcumin supplementation and exercise interventions on health outcomes in women with lifestyle-related diseases. Methods: Following the Joanna Briggs Institute methodology and the PRISMA-ScR framework, a comprehensive database search was conducted in March 2025 and updated in June 2025. Records were retrieved from Scopus (n = 30), Web of Science (n = 22), PubMed (n = 18), and other sources (n = 71), yielding a total of 141 studies. After screening and deduplication, eight studies met the inclusion criteria and were included in this review. All the studies were conducted in Iran with small sample sizes (12–53 participants) and short intervention durations (6–16 weeks). Therefore, the current evidence is geographically and demographically limited. Results: Across the included trials, the combined interventions produced additive or synergistic improvements in oxidative stress markers, inflammatory cytokines, lipid and glucose metabolism, cardiovascular function, pulmonary capacity, muscle fitness, and psychological outcomes (e.g., depression). When paired with nano-curcumin supplementation at different concentrations, high-intensity interval training, aerobic exercise, Pilates, and resistance training consistently outperformed exercise or supplementation alone in modulating antioxidant defenses, reducing systemic inflammation, and improving metabolic risk factors. Conclusions: The integration of exercise and nano-curcumin supplementation appears to confer superior benefits for women with lifestyle-related diseases compared with either approach alone. These findings highlight the potential of combining phytochemicals with lifestyle interventions to optimize women’s health outcomes. However, most available evidence originates from small, short-term studies in single geographic regions. Large-scale, multicenter, randomized controlled trials with diverse populations are warranted to establish standardized protocols and optimal dosing strategies, and to assess long-term safety and efficacy. © 2025 by the authors
A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems
No full textFailure mode risk prioritization is crucial in aircraft landing systems, where undetected or misjudged failures can lead to catastrophic outcomes. Effective risk analysis enables proactive maintenance and enhances aviation safety in such critical phases of flight. In this study, a novel hybrid decision-making framework is proposed to prioritize failure modes in aircraft landing systems by integrating the Multi-Attributive Border Approximation Area Comparison (MABAC) method with Prospect Theory under a q-Rung Orthopair Hesitant Fuzzy Set (q-ROHFS) environment. Traditional failure modes and effects analysis (FMEA) approaches often suffer from rigid weighting schemes, lack of sensitivity to expert hesitancy, and an inability to incorporate psychological factors such as risk aversion or subjective evaluations—especially in high-risk domains like aviation. To address these limitations, the proposed model incorporates human psychological behaviour and uncertainty in expert assessments. Prospect Theory is employed to capture decision makers’ risk attitudes and reference-dependent evaluations, while q-ROHFSs allow more flexible and comprehensive representation of hesitant and uncertain information. In this approach, Best-Worst Method (BWM) is used to determine the relative importance of risk factors for each decision maker, and their individual weights are obtained using TOPSIS-based similarity measures. A novel generalized q-ROHF Minkowski distance measure is also introduced and implemented to determine the weights of decision makers in the TOPSIS method, as well as to construct the prospect decision matrix and the distance matrix in the MABAC method, thereby enhancing computational precision. The applicability and effectiveness of the proposed method are demonstrated through a real-world case study on aircraft landing systems, and a sensitivity analysis is conducted to validate the robustness of the results. The findings highlight the method’s capability to reflect expert preferences more realistically and improve risk prioritization decisions in complex safety-critical systems. © The Author(s) 2025.2-s2.0-1050233052574130977
Effect of Inspiratory Muscle Training on Diaphragm and Abdominal Wall Muscle Thickness with Fatty Liver Density in Elderly Women: A Randomized Controlled Trial
No full textBackground and Objectives: Post-menopausal estrogen decline is considered a contributing factor to sarcopenia, and inspiratory muscle training (IMT) may provide benefits in this demographic. This study examined the impact of a four-week IMT program on diaphragm thickness, abdominal wall muscle thickness (AWMT; transversus abdominis, internal oblique, and external oblique), and liver fat percentage in healthy elderly women. Materials and Methods: Twenty-six women aged 60–80 years were randomly assigned to an IMT group (n = 13) or a control group (n = 13). The IMT group used the PowerBreathe® Classic device at 40% of maximal inspiratory pressure (MIP), with weekly increments of 10%. Training was performed twice daily, five days per week, with 30 breathing cycles per session (60 per day). The control group maintained their usual routines. AWMT, diaphragm thickness (DT), and fatty liver density (FLD) were measured by a radiologist before and after the intervention. Results: After four weeks, the IMT group showed significant improvements in all parameters compared to controls. Mid-diaphragm thickness (MDT) increased by 11.44% (effect size (ES) = 0.358, p < 0.001) versus 0.76% in controls (p = 0.271). Posterior diaphragm thickness (PDT) improved by 7.48% (ES = 0.282, p < 0.001) versus 0.38% (p = 0.564). Right AWMT increased by 12.7% (ES = 0.492, p < 0.001) compared to 0.10% (p = 0.872), and left AWMT increased by 9.93% (ES = 0.395, p < 0.001) versus 2.64% (p = 0.014). FLD improved by 11.79% (ES = 0.959, p < 0.001) in the IMT group, while the control group showed no meaningful change (−0.13%, p = 0.847). Conclusions: A short-term IMT protocol significantly enhanced diaphragm and AWMT and reduced liver fat in elderly women. These findings support the use of IMT as a simple, non-invasive intervention to preserve musculoskeletal and metabolic health in aging populations. © 2025 by the authors.2-s2.0-10502002916
The effect of high SiC ratio on the physical, mechanical, tribological and corrosion behavior of Al2024 alloy matrix composites fabricated by powder metallurgy
No full textReinforcing materials used in the production of metal matrix composites are used to improve the properties of the final composite. However, the compatibility between matrix and reinforcement and the reinforcement ratio directly affects the properties of the composite material. For this reason, low reinforcement ratios are preferred in many studies on ceramic particle reinforced composites. Unlike conventional studies, in this study, the effects of 10 wt%, 20 wt% and 40 wt% SiC content on the microstructure, dry wear properties and corrosion properties of Al2024 matrix composites were investigated. θ phase content became higher as the SiC content was increased. Hardness values increased with increasing SiC reinforcement. The highest value (307.68 HB) was obtained for the composite with 40 wt% SiC reinforcement, an increase of more than 100%. A decrease in volume loss with increasing SiC reinforcement was observed in the friction and wear tests. For 5 N of load and 1200 m of sliding distance, it was found that an addition of 40 wt% of SiC particles in Al2024 matrix results decrease in volume loss by almost 722%. © The Author(s) 2025
Türkiye’de buğday ve mısır ithalat talebini etkileyen faktörlerin Görünüşte İlişkisiz Regresyon Yöntemine göre analizi
No full textObjective: In this study, it is aimed to analyze the determining factors on the import demand for wheat and corn, which have an important place in Türkiye's grain imports, with the "Apparently Unrelated Regressions" model. Material and Methods: The data set used in this study consists of annual data covering the years 2006-2021. Stata program was used to analyze the data used in the study. Since Stata or Eviews programs do not provide the Standardized Beta (β) coefficient, statistical analyzes were performed using the formula in Microsoft Excel (β=B*SSXi / SSY). Results: Only the one-year delayed value of wheat imports, which is one of the explanatory variables in the wheat import model, was found to be significant, according to the study's findings. In terms of factors influencing corn import demand, similar results were obtained. Only total corn consumption was found to be statistically noteworthy among the explanatory variables in the corn import model. Conclusion: Based on these findings, wheat imports are influenced by changes in wheat imports from a year ago, while corn imports are influenced by changes in total corn consumption. Based on Türkiye's current structure and the findings obtained, it is understood that the country may continue to maintain its position as an importer of wheat and corn in the future. © 2025 Ege Universitesi. All rights reserved
The Effect of Music on Fear and Anxiety of Children During Tomography: A Randomized Controlled Double-Blind Study
No full textAim: This study was conducted to determine the effect of a musical intervention during computed tomography (CT) on fear, anxiety and vital signs of children.
Method: This randomized, double-blind controlled trial was conducted according to the Consolidated Standards of Reporting Studies (CONSORT) guidelines. The study sample included children aged between 6 and 10 years who met the inclusion criteria and underwent CT scan in the emergency department of a public hospital in eastern Turkey between 18 April and 20 May 2023. The research was completed with a total of 60 children, randomized to one of two groups. The nursing intervention of the study was playing music. Data were collected through face-to-face interviews using the Child and Family Information Form, the Children's Fear Scale (CFS), Children's Anxiety Meter-State (CAM-S) and the Vital Signs Monitoring Form (pulse, blood pressure and oxygen saturation). Ethical principles were followed in the research.
Results: The level of fear, anxiety, pulse rate and respiratory rate of the children in the musical intervention group during CT scanning were lower than in the control group (p < 0.05). No difference was found between the groups in terms of oxygen saturation (p < 0.05).
Conclusion and recommendations for implementation: The results of this study suggest that musical intervention during CT scanning in children is effective in reducing the level of fear and anxiety and stabilizing vital signs. By using such nonpharmacologic methods, nurses can provide support to children and alleviate emotional difficulties during procedures.
Trial registration: NCT06086509 SUMMARY: What is already known about this topic? Music therapy is recognized as an effective nonpharmacologic intervention to reduce fear and anxiety in paediatric patients undergoing medical procedures. Previous studies have shown that musical intervention during CT scans can calm children, potentially reducing the need for sedation and improving compliance. Knowledge gaps remain regarding the specific effects of music on physiological parameters like pulse and respiratory rates during paediatric CT scans. What this paper adds? This study demonstrates that musical intervention during CT scans significantly reduces fear and anxiety levels in children aged 6-10 years. The research findings show that music intervention can also stabilize vital signs, such as pulse and respiratory rates, during CT scans, suggesting a relaxed physiological state. The results support the idea that incorporating music into paediatric imaging procedures can enhance patient comfort and improve the quality of the imaging process by encouraging children to remain still. The implications of this paper: Incorporating music therapy into routine paediatric imaging procedures can reduce anxiety, improve patient cooperation and potentially reduce the need for sedatives. Future research could explore the optimal types of music, volume levels and delivery methods to maximize the calming effects on children during various medical procedures. Training programs for paediatric healthcare providers can include education on the benefits of nonpharmacologic interventions, like music therapy, to reduce anxiety and improve patient outcomes in clinical settings.4051181
Disease Burden and Sexual Life in Patients With Multiple Sclerosis: A Phenomenological Study
No full textThis study aims to examine the burden of disease experienced by multiple sclerosis patients and to deeply examine the impact of the disease on sexual life. A phenomenological research design was used in this study. This qualitative research was conducted with 20 multiple sclerosis patients. Interviews were conducted individually and face-to-face. The data were analyzed using Colaizzi's phenomenological analysis method. Two main themes (effects of the disease and sexual life) and five sub-themes (physical effects, mental effects, social effects, problems related to sexual life, sexual issues, and coping) were identified in the analysis of the data. As a result of the study, it was determined that the patients experienced serious physical, mental, and social problems due to multiple sclerosis, and their sexual lives were also negatively affected. Individuals experience significant issues related to their sexual life due to multiple sclerosis. Since multiple sclerosis is a multifaceted disease, it is thought that professional evaluation of sexuality in patients, diagnosis of sexual dysfunctions, and taking timely measures are of great importance to improve the quality of life of multiple sclerosis patients.4082022
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration
No full textEarthquakes can often cause significant damage to buildings. After an earthquake, experts/managers need to make quick and accurate damage assessments. Traditionally, manual analysis processes have been widely used in damage assessment studies. The fact that these methods are time-consuming and based on human observation leads to certain limitations in damage assessment studies. In recent years, artificial intelligence techniques such as deep learning and machine learning have frequently been preferred in damage detection studies, and significant success has been achieved. This study aimed to automatically detect cracks/damages in the buildings in Diyarbakir city after the February 6, 2023 Kahramanmaras, Turkey earthquake. Our experimental dataset was collected by the researchers and named Kahramanmaras-Diyarbakir Earthquake Building Crack Dataset (KDBECD-2023). The data set consists of four categories in terms of damage level: undamaged, slightly damaged, moderately damaged, and heavily damaged buildings. DenseNet201 deep learning architecture and popular machine learning algorithms, Support Vector Machine, Random Forest, Decision Tree, and K-Nearest Neighbors (KNN) were used to classify cracks at different damage levels. In the experimental phase, feature extraction was performed with the DenseNet201 architecture. In addition, dimensional reduction was applied with the Principal Component Analysis method to reduce the computational complexity of the proposed hybrid study. According to the experimental results, the DenseNet201-KNN hybrid model gave the most successful result with an accuracy value of 94.62%. The results of this study can make important contributions to decision makers and experts in detecting cracks and damages in buildings after an earthquake. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025
The effect of health literacy, psychological resilience, and internet addiction levels on the fear of COVID-19 in healthcare professionals
No full textBackgroundHealthcare professionals are known to make intensive use of the internet to improve their health literacy, preserve their psychological resilience, resolve uncertainties, and lessen their fear of COVID-19. Although several studies have addressed these concepts, we encountered none examining their relationships with one another.ObjectiveThis research set out to determine the effects of health literacy, psychological resilience, and internet addiction levels on the fear of COVID-19 in healthcare professionals.MethodsThe sample in this descriptive, cross-sectional, and correlation-seeking research consisted of 456 health workers. The data were collected using an information form and the Health Literacy Scale (HLS), the Brief Resilience Scale (BRS), Young's Internet Addiction Test-Short Form (YIAT-SF), and the Fear of COVID-19 Scale.ResultsThe mean age of the health professionals enrolled in the research was 40.80 ± 11.39 years (min 22, max 68), 52.4% were women, 87.1% held bachelor's degrees, 86.8% were married, and 5.9% were working as nurses. The participants' mean scale scores were 54.97 ± 5.62 for the HLS, 26.95 ± 9.57 for YIAT-SF, 20.57 ± 3.62 for the BRS, and 20.33 ± 2.97 for the Fear of COVID-19 Scale.ConclusionsThe healthcare professionals in this study exhibited adequate levels of health literacy and psychological resilience, a moderate level of internet addiction, and still experienced fear of COVID-19. Health literacy, internet addiction, and psychological well-being emerged as important factors in the fear of COVID-19.4041548