The researcher focused on the importance of the physical abilities of the tennis game, as this game is one of the games that are characterized by its specificity in performance as this game is characterized by continuous movement and dealing with different elements, so this game requires the development of muscle strength, which plays an important role in Performance skills in the game of tennis. There are several methods to develop strength, including flat hierarchical technique, which is one of the most common forms of training in the development of muscle strength. As for the research problem, the researcher found a method that has an effect on the development of force. Therefore, the researcher tried to diversify and experiment in the training process through the use of a training method suitable for the youth category and taking into account their level. The researcher adopted a method for recognizing its effect on muscle strength and the skill of straight transmission in tennis as a modest contribution In order to improve the reality of this game and reach the players to the best levels. The study also aims to develop a training curriculum in a flat pyramid style and to identify the effect of flat hierarchical technique in some aspects of muscular strength and the skill of straight transmission of the nascent players in tennis. The researcher also hypothesized that there are statistically significant differences between the results of tribal and remote tests in some musculoskeletal aspects of tennis players There were statistically significant differences between the results of the tribal and remote tests in the skill of the straight transmission of the tennis players. As the researcher used the experimental method with one experimental group and the sample of the study consisted of (6) players emerging from tennis out of (10 players). The study concluded with a set of conclusions and recommendations, the most important of which is that the flat hierarchical method has a positive effect on some aspects of muscular strength and the skill of straight transmission of the players who are born in tennis. The researcher also recommends the adoption of the training method on the flat hierarchical method in the development of force and the emphasis on the use of weight exercises in the training curriculum.
Background:Measurement of hemoglobin A1c (A1C) is a renowned tactic for gauging long-term glycemic control, and exemplifies an outstanding influence to the quality of care in diabetic patients.The concept of targets is open to criticism; they may be unattainable, or limit what could be attained, and in addition they may be economically difficult to attain. However, without some form of targeted control of an asymptomatic condition it becomes difficult to promote care at allObjectives: The present article aims to address the most recent evidence-based global guidelines of A1C targets intended for glycemic control in Type 2 Diabetes Mellitus (T2D).Key messages:Rationale for Treatment Targets of A1C includesevidence for microvascular and ma
... Show MoreBackground: One of the significant public health problems is the traumatic dental injury to the anterior teeth, it has a great impact on children’s daily. Physical and psychological disturbance, pain and other negative impacts, such as tendency to avoid laughing or smiling may be associated with traumatic dental injuries, that may affect the social relationships. To determine the occurrence of traumatic dental injuries in relation to quality of life, this study was established among children of primary schools. Material and Methods: A cross-sectional study was conducted among private (574) and governmental (1026) primary school children in Baghdad city. Dental trauma was assessed according to Ellis and Davey classification in1970
... Show MoreDuring COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve
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