Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Bayrakdaroglu, Serdar(2)
- Ceylan, Halil Ibrahim(2)
- Abdel-Fattah, Abdul-Rahman(1)
- Ayaydin, Hasan(1)
- Barut, Abdulkadir(1)
- Belhaouari, Samir Brahim(1)
- Bragazzi, Nicola Luigi(1)
- Dergaa, Ismail(1)
- Dhahbi, Wissem(1)
- Duncan, Michael(1)
- Erdem, Azad(1)
- Ergün, Tolga(1)
- Hammami, Raouf(1)
- Morgans, Ryland(1)
- Muntean, Raul Ioan(1)
- Omri, Abdelfatteh El(1)
- Pilatin, Abdulmuttalip(1)
- Sassi, Radhouane Haj(1)
- Selmi, Mohamed Amin(1)
Yayınlar
- MakaleAçık Erişim2026Comparison of plyometric repeated sprint and plyometric aerobic training on physical performance in youth soccer players
Selmi, Mohamed Amin; Hammami, Raouf; Ceylan, Halil Ibrahim; Duncan, Michael; Sassi, Radhouane Haj; Morgans, Ryland; Bayrakdaroglu, Serdar; Bragazzi, Nicola Luigi
High-intensity interval training (HIIT) and repeated-sprint sets (RSS) are established conditioning methods in soccer, yet their integration with plyometric training among highly trained youth soccer players remains underexplored. This study investigated the effects of an 8-week program combining plyometric training with either RSS (PLYO-RSS) or HIIT (PLYO-HIIT) on physical fitness in young soccer players. Twenty-nine male players (14-15 years) were randomly assigned to PLYO-RSS (n = 14) or PLYO-HIIT (n = 15). Both interventions lasted 20 minutes per session and replaced part of regular soccer training. Physical fitness assessments included countermovement jump (CMJ), 15-s repeated vertical jumps (15''RJ), five-jump test (5JT), 10 m and 30 m sprint, maximal aerobic speed (MAS), VO2max, and repeated sprint performance (total sprint time, best sprint, fatigue index). Physiological markers (lactate, rating of perceived exertion, and HRmax) were also monitored. Significant improvements over time were observed in muscle power, sprint speed, aerobic capacity, and repeated-sprint ability (p <= 0.001; eta & sup2;p = 0.339-0.489). However, no main effects or group & times; time interaction effects were observed, indicating no evidence of differential responses between the two training modes. In conclusion, integrating plyometric training with either RSS or HIIT effectively enhances physical fitness in highly trained youth soccer players, offering flexible options for training prescription.
- MakaleAçık Erişim2026YOLOv8 computer vision for automated offside detection in professional football validated through supervised learning
Abdel-Fattah, Abdul-Rahman; Belhaouari, Samir Brahim; Ceylan, Halil Ibrahim; Bayrakdaroglu, Serdar; Muntean, Raul Ioan; Dhahbi, Wissem; Dergaa, Ismail; Omri, Abdelfatteh El
Offside calls are integral to maintaining fairness and competitive integrity in football, yet current officiating processes are constrained by limitations in accuracy despite technological advancements. This investigation developed and validated an automated offside detection system using YOLOv8 object detection architecture to address documented limitations of Video Assistant Referee (VAR) systems in offside decision accuracy. Supervised learning validation employed 400 annotated instances from professional match footage. The YOLOv8 medium variant was configured for four-class detection, with a focus on extreme player positions, reducing computational complexity by approximately 70% relative to comprehensive player tracking while accepting accuracy trade-offs in marginal scenarios. The system was optimized for computational efficiency through highly accurate tracking of player positions. Data were partitioned into 40% (n = 160) for training and 60% (n = 240) for testing, with 5-fold cross-validation. The automated system achieved robust performance metrics across 240 test instances: overall accuracy of 83.0%, precision of 85.0%, recall of 87.0%, and F1-score of 86.0%. Confusion matrix analysis revealed true positives (n = 130), true negatives (n = 70), false positives (n = 22), and false negatives (n = 18). Individual case analysis demonstrated 80% agreement with ground truth classifications. System performance significantly exceeded the random classification baseline (p < 0.001). The strategic extreme player tracking approach achieved substantial computational efficiency while maintaining decision accuracy across diverse match scenarios. A YOLOv8-based offside detection system demonstrates proof-of-concept feasibility for decision-support applications in football officiating. Performance (83% accuracy, 95% CI: 79-87%) on 240 test instances remains below professional benchmarks (> 93%), with single-camera constraints and limited dataset size restricting generalizability to proof-of-concept validation rather than operational deployment.
- MakaleAçık Erişim2025FinTech driven green energy transition foreign direct investment and ecological footprint in BRICST countries
Ayaydin, Hasan; Ergün, Tolga; Barut, Abdulkadir; Erdem, Azad; Pilatin, Abdulmuttalip
The increasing emphasis on climate change and environmental sustainability worldwide has brought about the convergence and increased focus on financial technologies (FinTech) and green energy initiatives. In light of this, the study's objective is to investigate how FinTech moderates the relationship between the ecological footprint (EF) and green energy transition (GTE) in the BRICS-T nations between 1990 and 2021. This study examines how fintech moderated the GTE and EF in the BRICS-T from 1990 to 2021. We applied the Fully Modified Ordinary Least Squares (FMOLS) and used Dynamic Ordinary Least Squares (DOLS) as the main estimators for longitudinal analysis. In contrast, Driscoll-Kraay was used to verify the robustness of the results under cross-sectional dependence and heteroskedasticity. The results reveal that FinTech indirectly hinders EF by facilitating GTE. The outcomes also show that FinTech significantly constrains EF, while GDP and industrialization worsen EF. The results also confirm the important role of GTE and foreign direct investment (FDI) in reducing CO2 emissions in BRICS-T countries. Lastly, the paper offers policymakers useful recommendations for lowering EF in light of these outcomes. The study suggests establishing appropriate policies and strategies that encourage FinTech platforms to invest in green energy projects, including financial technology, promoting energy-efficient and low-carbon foreign direct investment, and encouraging GTE.
- DergiSCIENTIFIC REPORTS