درخت حوزه‌های تخصصی

Introduction: This study aimed to review the literature on the role of body composition as arisk factor for injury in an athletic population.Materials and Methods: We searched articles in English in Google Scholar Science direct,PubMed, WOS, Scopus, ProQuest, and Cochrane Library databases without time limit until2020 using keywords related to "body composition" and "sports injury".Results: Considering criteria including inclusion and exclusion, 10 papers out of 1322 studieswere comprehensively reviewed. It was found that body composition components are relatedto musculoskeletal injuries in the athletic population. Body mass index, weight and bonedensity are known as risk factors in the development of sports injuries.Conclusion: This systematic review provides preliminary evidence of the relationship between body composition and prediction of injury in athletes. Defects in various aspects ofbody composition were recognized as potential risk factors for lower extremity injuries.Likewise, body composition should be considered when screening athletes.

Introduction: This study was conducted to control hand tremors and decrease adverse effects due to the high field intensity in advanced Parkinson’s disease. We aimed at concurrently controlling two areas of Basal Ganglia (BG) in a closed-loop strategy.Methods: In the present research, two nuclei of BG, namely subthalamic nucleus and globus pallidus internal were simultaneously controlled. Furthermore, to enhance the feasibility of the suggested control strategy, the coefficients of the controller were determined using a hybrid version of the harmony search and cuckoo optimization algorithm. Results: The advantages of the applied method include decreasing hand tremors and applied electric field intensity to the brain; consequently, it leads to reducing adverse effects, such as muscle contraction and speech disorders. Moreover, the purposed controller has achieved superior performance against changing the parameters of the model (robustness analysis) and under noise tests, compared to other conventional controllers, such as Proportional Integrator (PI) and Proportional Derivative (PD).Conclusion: The employed approach provided an effective strategy to reduce hand tremors. It also decreased the delivered high field intensity to the brain; consequently, it reduced adverse effects, such as memory loss and speech disorders. It is important to ascertain the superior performance of the suggested closed-loop control scheme in different conditions and levels of tremor. Such a function was examined in terms of robustness against the variation of parameters and uncertainties. We also obtained time domain outcomes, i.e., compared with the state-of-the-art approaches.