بحوث سكوبس — سناء عبدالامير عبد

Background and Study Aim In modern sports education, the development of both cognitive and motor skills is an important component of effective training. Multiple intelligences and futsal-specific abilities, such as passing accuracy and ball control, are key elements that support students’ overall performance. Although differentiated learning strategies are applied in educational practice, their relative effectiveness in enhancing these domains remains a subject of practical interest. The aim of this study was to assess the effectiveness of a differentiated learning strategy in improving multiple intelligences and futsal-specific skills (passing accuracy and ball control) among female students. Material and Methods Forty students participated during the 2024–2025 academic year at Al-Qasim Green University, Iraq. Thirty students were randomly assigned to an experimental group (n = 15) and a control group (n = 15), while ten students took part in a pilot study. A structured 12-week training program (24 sessions, 90 minutes each, twice weekly) was designed based on differentiated instruction principles. Outcomes were assessed using the Multiple Intelligences Scale, the Ball Passing Accuracy Test, and the Ball Control Test. Results ANCOVA revealed significant group effects across all variables. The experimental group outperformed the control group in multiple intelligences (F = 112.788, p < 0.001, η² = 0.807), passing accuracy (F = 65.139, p < 0.001, η² = 0.707), and ball control (F = 105.828, p < 0.001, η² = 0.797). Estimated marginal means confirmed these findings, with higher post-test scores for the experimental group (MI = 147.8 vs. 142.7; PA = 11.5 vs. 9.5; BC = 6.2 vs. 4.6). Conclusions Differentiated learning strategies tailored to students’ intelligence profiles proved highly effective in enhancing both cognitive (multiple intelligences) and motor (passing and ball control) domains. These findings highlight the pedagogical value of integrating adaptive instructional models into sports education curricula. © Waheb Razzaq Jebur, Nabil Kazim Haribed, Sanaa Abdul Al-Ameer Al-Kikani, Mohammed Hasan Shaalan Obed, Ali Abdul Kadhim Oudaa, 2025.

The best means and ways to develop an athlete's physical and skill capabilities, and among these means is the use of training aids that help develop some bio-kinetic abilities, and prepared exercises have had an important role in improving athletic performance in badminton, where the player must possess physical fitness, explosive power, and strength. Characterized by speed as well as accuracy, awareness, and focus while playing on the court, the badminton player must be physically fit through a continuous movement of small and large muscles to achieve good performance, which requires special physical abilities and skills, and the most important of these bio-kinetic abilities are agility, coordination, and measuring the coordination between the eye and the arm. These abilities are needed by the badminton player while playing on the court. The study aimed to prepare special exercises using some auxiliary tools to develop some bio-kinetic abilities and the accuracy of the crushing and lightning forehand strikes among badminton players, in addition to identifying the effect of special exercises using some auxiliary tools on For badminton players, the researcher adopted the experimental method, and the sample number was (10) players from the badminton training center in the Armenian club, aged (17-19). They were distributed into two experimental and control groups, and they were chosen randomly because the research objectives require the use of athletes proficient in the game's technical performance. The researcher applied her main experiment using special exercises with some auxiliary tools, with (4) training units per week for (8) weeks. The results of the study showed that there was a positive effect on the results of bio-kinetic abilities between the two groups and in favor of the experimental group. It was shown in the kinetic response speed test for the first experimental group 7.423, agility 3.012, and compatibility 3.123, and for the second experimental group in the kinetic response speed test 3.208, agility 6.861, and compatibility 6.907. As for the skill tests for the first experimental group, the front smash hit was 7,234 and the diagonal front snap shot was 28.00. It was shown in the skill tests for the second experimental group that the front smash hit was 3,372 and the diagonal front snap shot was 3,400, which included exercises. The researcher recommends adopting the results of this study and disseminating them, and emphasizing equipping the stadiums with modern training methods, due to the results they achieve. Positive physical development serves one of the goals of sustainable development: good health and good education. © 2025 Federacion Espanola de Docentes de Educacion Fisica. All rights reserved.

It is a recent attraction to the mechanical scientists to investigate state of wave propagation, buckling and vibration in the sport balls to observe the importance of different parameters on the performance of the players and the quality of game. Therefore, in the present study, we aim to investigate the wave propagation in handball game ball in term of mass of the ball and geometrical parameters wit incorporation of the viscoelastic effects of the ball material into account. In this regard, the ball is modeled using thick shell structure and classical elasticity models is utilized to obtain the equation of motion via Hamilton’s principle. The displacement field of the ball model is obtained using first order shear deformation theory. The resultant equations are solved with the aid of generalized differential quadrature method. The results show that mass of the ball and viscoelastic coefficient have considerable influence on the state of wave propagation in the ball shell structure. Copyright © 2023 Techno-Press, Ltd.

The emergence of low-cost individual sensing devices has facilitated the application of data fusion methods to yield insights useful for score-level, rank-level, or hybrid-level fusion. Intelligent tools for fusion processing, such as fuzzy methods and optimization algorithms, may be used to the deluge of raw data generated by these devices. The use of numerous sensors allows for multi-level/hybrid-level fusion, and the combination of several models for intelligent systems allows for fusion system design optimized for score improvement. Multimedia data fusion applications and machine learning methods can be used to accomplish data fusion in cloud settings. For older people in independent living conditions, a physical activity assessment framework (PAAF) that uses deep learning models for fusion to identify activity and evaluate progress based on the spectral domain of each window is needed. This study highlights the significance of data fusion in outlining the needs for IoT devices in networked computers for distant patient monitoring. In order to provide for the health of the elderly without compromising their comfort or freedom of choice, we need a seniors network based on the Internet of Things and wearable health technology. The sensors’ functionality was investigated by analyzing data gathered from the environment and the organisms within it. The proposed PAAF-IoT architecture has many layers, each one connected to a different device, with the most important part being the integration of data from all of them to classify types of physical activity. Cloud services geographically close to the customer are used to process the resulting mountain of data, reducing end-to-end delay and facilitating prompt responses from healthcare professionals. Data fusion in healthcare and remote patient monitoring are demonstrated through the deployment of an app that allows doctors to remotely administer prescriptions and maintain track of patients’ medical histories. © 2023, American Scientific Publishing Group (ASPG). All rights reserved.

To record and evaluate students' physical education class participation, this study proposes using a Machine Learning aided Physical Training Framework (ML-PTF). Improve student achievement in physical education with the help of the Multi-level Fusion System that employs machine learning strategies. The system integrates sensor data, video data, and contextual data to deliver a holistic and precise evaluation of student engagement. This study's simulation analysis shows that the ML-PTF improves the reliability of evaluating universities' physical education programs. A important reference path and paradigm for advancing tertiary-level physical education for graduates, the multi-level fusion system also provides an investigation of information technology and language education integration. The experimental findings demonstrate that the ML-PTF is superior to other approaches in terms of learning rate, f1-score, precision, and probability, as well as student engagement, involvement, and recognition accuracy. © 2023, American Scientific Publishing Group (ASPG). All rights reserved.

Handball sport, as its name postulates, is a team sport which highly physical workout. During a handball play, several ball impacts are applied on the hands resulting vibration in the forearm, upper arm, shoulders and in general in whole body. Hand has important role in the handball’s game. So, understanding about the dynamics and some issues that improve the stability of the hand is important in the sport engineering field. Ulna and radius are two parallel bones in lower arm of human hand which their ends are located in elbow and wrist joint. The type of the joint provides the capability of rotation of the lower arm. These two bones with their ends conditions in the joints constructs a 4-link frame. The ulna is slightly thinner than radius. So, understanding about hand kinematics in handball’s game is an important thing in the engineering field. So, in the current work with the aid of a multi-physics simulation, dynamic stability analysis of the ulna and radius bones will be presented in detail. © 2022 Techno-Press, Ltd. All Rights Reserved.