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The characteristics of soccer games tend to be at medium and high intensity. Measurement of heart rate response and activity profile can be used to assess the physical condition performance of players in planning the right program. The purpose of this study was to analyze the differences between heart rate response and activity profile in junior and recreational soccer players. The sampling technique used was purposive sampling. 24 male soccer players (12 junior Aged 11.58 ± 0.28 Years, 142.25 ± 8.74 cm, 34.5 ± 6.42 kg) and (12 recreational Aged 32.7 ± 1.38 Years, 170.67 ± 3.92 cm, 73.42 ± 5.33 kg) underwent simulation game sessions of 15 minutes each recorded using Polar Verity Sense and Catapult One to capture internal and external load data. Data were analyzed using the Mann-Whitney U Test to determine the difference between the heart rate of junior and recreational players. The results showed that there was a significant difference between HRavg in junior players (166.1 ± 17.2) and recreation (155.3 ± 10.5) as well as HRmax in junior players (193.1 ± 12.3) and recreation (176.0 ± 10.0) (p < 0.05). In addition, in the variable top speed (6.20 ± 0.68) and also maximal acceleration (4.52 ± 0.39) there is a significant difference (p < 0.05). This study concludes that there is a significant difference in heart rate response, but in the activity profile only the top speed and maximal acceleration variables between soccer players. Keywords: heart rate response, activity profile, junior and recreational soccer players

Monitoring training load can help improve performance, predict injury risk, determine athlete readiness, and keep track of health conditions. By using bibliometric analysis methods, one can evaluate publications from institutions or countries and track the growth or decline of a specific field. The purpose of this study is to compile a bibliography of works on the subject of training load monitoring that were published between 1979 and 2023. This study analyzes publications on training load monitoring and uses scientific mapping to describe the structure and trends. Contributions from countries, authors, cited articles, frequently appearing keywords, and keyword trends are all covered in this study. According to the findings, research was scarce during the first two decades and significantly increased in the next. While Australia has the most publications, the European continent dominates this research field. Most articles are published in and referenced from the International Journal of Sports Physiology and Performance. Furthermore, due to its high citation count, Halson's article had the greatest influence. Some keywords are related and appear in this study. This article presents a trend visualization that academics can use as a reference guide. Keywords: monitoring, training load, bibiometric analysis.

Weightlifting is requires maximum strength, speed, and explosive power in order to lift maximum weight. Weightlifting carries a risk of injury which can result in pain, damage and limitation of bodily functions. The aim of this study is to describe and characterize of injuries that occur in weightlifting sports. This retrospective cohort study using a questionnaire that valuated 111 male lifters who were currently had experienced injuries. The result that, characteristics of athletes are an average age of 16.4 ± 3.7, height 161.2 ± 8.9, body weight 60.7 ± 14.9, body mass index 23.2 ± 4.7, arm length 67.9 ± 8.8, and leg length 90.4 ± 8.8 who have chronic injuries (67%) occurred during exercise (87%) and most injuries occurred in the upper limb (62%). Locations of injuries are shoulders (57%), wrists (10%), back (33%), hip/groin (10%), hamstring (16%), and knees (35%) with the types of injury experienced athletes are muscle strains (33%), ligament sprains (32%), and impingement (35%). 87% of athletes are injured during practice while 13% are injured during competition. To sum up, this study shows that the characteristics of major injuries occur in the upper extremities, namely the shoulder and the incident injuries occur during exercise. Keywords: Weightlifter, Performance, Injury, Training Programs

Introduction: There is considerable interest in understanding the physical demands of futsal players to achieve optimal performance. Objective: This study aimed to investigate the effects of curcumin and piperine supplementation on the performance of futsal players after two consecutive intensive matches. Methodology: A randomized, double-blinded, placebo-controlled design was used in this study. Sixteen amateur futsal players participated and were randomly assigned to two equal groups. The experimental group received curcumin 100 mg + piperine 5 mg, while the placebo group received 105 mg of microcrystalline cellulose. Two matches were played consecutively 24 hours apart (2 × 20 minutes). VO2max was assessed seven days before the first match, while internal load heart rate was evaluated during both matches. To examine players' recovery, CMJ and sprint performance were measured at baseline, 24 hours after the first match, and at 24, 48, and 72 hours after the second match. Results: VO2max and heart rate were similar between both groups, indicating comparable fitness levels and internal load heart rate. Significant differences were found in CMJ (p<0.05) and sprint times (p<0.05) between the experimental and placebo groups at 24, 48, and 72 hours after the second match. Discussion: The results suggest that curcumin and piperine supplementation effectively enhance recovery by reducing muscle fatigue and preserving neuromuscular performance after matches. Conclusions: The combination of curcumin and piperine enhances recovery and helps maintain performance in futsal athletes with demanding competition schedules.

In soccer, monitoring training load is crucial for performance enhancement, optimizing recovery, and preventing injury risks. The research trend in training load within soccer has been rapidly evolving, making this bibliometric study instrumental in understanding the direction of research focus in soccer training load. The objective of this study is to comprehend and explore the current state of research on soccer training load. This research analysis includes mapping contributions by country, publication years, authors, articles, and their respective citation counts. Findings indicate that research on training load in soccer commenced as early as 1976 and has gradually expanded with time, with a significant increase observed in 2019, marked by 109 articles addressing training load in soccer. The United Kingdom emerges as the top country in terms of scholarly publications and citation counts in this field. Keywords: soccer, training load, bibiometric analysis.

In a weightlifting competition, a person competes according to their weight group. Therefore, to maximize performance in certain competing classes, the body composition (somatotype) of a weightlifter is very important. However, body composition is strongly affected by several main factors such as nutrition and lifestyle. Weightlifting is Indonesia's leading sport in international competitions; therefore, optimizing the achievements of weightlifting athletes needs to be improved, through research to identify factors supporting the achievements of weightlifters. This research using quantitative descriptive method. The research was performed by observing and testing 35 weightlifters in the province that most often contributed weightlifting athletes Lampung Province, Pringsewu Regency. Body composition testing using the Omron Karada Body Composition tool. For lifestyle measurement, use medical history and habits questionnaire. The results of this study indicate that the average body composition of the sample has 24.38% of fat, and BMI reaches 29.32. The somatotype figure shows that 88% of the participants are in the endomorph category, and 22% are included in the mesomorph category. The obtained nutritional status figure shows that 3% of the participants are in the stunting category. Lifestyle analysis shows that 2% smoke, 3% drink alcohol, 71% consume caffeine and 100% exercise. The results of this study show that the most worrying item is the body composition specifically, the sample fat percentage is too high compared to that of an average weightlifter, which is approximately 16%. Weightlifters need to minimize the percentage of body fat and replace it with muscle mass to maximize their body weight with the muscle's ability to lift weights.

Weightlifting is requires maximum strength, speed, and explosive power in order to lift maximum weight. Weightlifting carries a risk of injury which can result in pain, damage and limitation of bodily functions. The aim of this study is to describe and characterize of injuries that occur in weightlifting sports. This retrospective cohort study using a questionnaire that valuated 111 male lifters who were currently had experienced injuries. The result that, characteristics of athletes are an average age of 16.4 ± 3.7, height 161.2 ± 8.9, body weight 60.7 ± 14.9, body mass index 23.2 ± 4.7, arm length 67.9 ± 8.8, and leg length 90.4 ± 8.8 who have chronic injuries (67%) occurred during exercise (87%) and most injuries occurred in the upper limb (62%). Locations of injuries are shoulders (57%), wrists (10%), back (33%), hip/groin (10%), hamstring (16%), and knees (35%) with the types of injury experienced athletes are muscle strains (33%), ligament sprains (32%), and impingement (35%). 87% of athletes are injured during practice while 13% are injured during competition. To sum up, this study shows that the characteristics of major injuries occur in the upper extremities, namely the shoulder and the incident injuries occur during exercise.

Monitoring training load can help improve performance, predict injury risk, determine athlete readiness, and keep track of health conditions. By using bibliometric analysis methods, one can evaluate publications from institutions or countries and track the growth or decline of a specific field. The purpose of this study is to compile a bibliography of works on the subject of training load monitoring that were published between 1979 and 2023. This study analyzes publications on training load monitoring and uses scientific mapping to describe the structure and trends. Contributions from countries, authors, cited articles, frequently appearing

Indonesia is home to significant populations of globally vulnerable reef manta rays (Mobula alfredi) in at least four key regions: Berau, Nusa Penida, Komodo, and Raja Ampat. Despite detailed population studies in each of these regions, little is known about their horizontal movement patterns. Our study used satellite telemetry to investigate reef manta rays’ habitat use and home ranges. A total of 33 manta rays were tagged with SPLASH10F-321A satellite tags across the four regions: Berau (n = 5), Nusa Penida (n = 8), Komodo (n = 6), and Raja Ampat (n = 14), yielding usable data from 25 tags. The rays were tracked for 7 to 118 days (mean ± SD = 50 ± 30) from July 2014 to July 2022. The results showed localized movements, strong residency near tagging sites, and high site fidelity as evidenced by area-restricted search (ARS) behaviors and frequent revisitations. Most manta rays showed restricted home ranges in each region, with no connectivity between regions. Across 25 individuals, the home range (95% utilization distributions) varied significantly, ranging from 19 to 48,294 km2 (mean ± SD = 4667 ± 10,354). These findings offer important insights into the spatial movement patterns of reef manta rays in Indonesia, allowing the formulation of more effective management strategies.