The research abstract included introduction and the importance of the research, also included display of the problem represented by weakness for the players when performing some of the basic skills in badminton and the shuttle not reaching to the back corners of the court which gives the player the opportunity to win through applying the pressure on the opponent and make him away from the control center(T) which definitely required level of a collection muscular strength contributed in performance perhaps this related to a number of reasons related with weakness in physical changes especially explosive and characterized by speed forces for the badminton players and be acquainted with them and knowing the extent of their effect in performance, based on this the researcher resorted to study the effect of the training units of falling(deep) jump to develop the explosive and characterized by speed forces for the badminton players. The research problem is exclusive by lack of the coaches attention in perfect way to develop the explosive and that characterized by speed forces on which the basic skills of badminton and the reason of the improvement occurred for the experimental community comes as a result of using the independent variable for training units of the falling(deep) jump which effected actively on the players' performance. The researcher has used the experimental method and the research sample was chosen from the young players certified by the Iraqi badminton central union of age groups(14-16) years old affiliated to Al-Athori club amounted (6) players. Physical Education Original Research Paper The research objectives: Setting training units of falling(deep) jump. Identifying the effect of falling(deep) jump training units to improve the explosive and that characterized by speed forces for badminton players Identifying the effect of falling(deep) jump training units on some of functional changes. Identifying of the research The introduction and importance of the research practicing the sport training leads to functional changes in the organs of the body as whole and as a result of practicing the training for along time and regular and rationed method, there occurred functional adaptabilities in various organs of the body in general and especially in heart organ, but these functional adaptabilities occurred either as peripheral or central changes and the central adaptabilities are known that occurred inside the heart vascular system which are as a result of practicing the regular and rationed sport training for long periods which are a collection of factors and psychological changes which effect on the heart muscle ability to obtain blood and pumping it to provide the blood with (oxygen and energy) for the operating muscles and amongst these factors the heart pulse rate the number of the beat also. Upon this concentrated and via the researcher scientific attempt to explore modern training units alternatives via using the falling (deep) jump in light with the kinetic performance paths of its basic skills and using them in means of developing the collection of contributing muscles towards developing the operating muscles in skillful performance and the second importance this study participating in it , is to draw the coaches attention for updated training units on which the training programs depended to develop its physical features of badminton as alternative for other classical training units, in this it is considered constructive study of the coaches work and their training programs and from it could access sound planning state to promote the physical and skillful aspects of the young players and to develop the game and expand its popularity in our beloved Iraq. The objectives: 1-Setting the falling(deep) training units. 2-Identifying the effect of falling(deep) jump training units to improve the explosive and that characterized by speed forces for badminton players Identifying the effect of falling(deep) jump training units on some of functional variables. The research hypotheses: 1-There are differences of statistical significance among the pre and post-tests results for the control and experimental groups the explosive and characterized by speed forces for the badminton players in favor of post-tests. 2-There are differences of statistical significance among the pre and post-tests resulted from some of functional changes of badminton players in favor of post-tests.
In the 1980s, the French Administration Roads LCPC developed high modulus mixtures (EME) by using hard binder. This type of mixture presented good resistance to moisture damage and improved . mechanical properties for asphalt mixtures including high modulus, good fatigue behaviour and excellent resistance to rutting. In Iraq, this type of mixture has not been used yet. The main objective of this research is to evaluate the performance of high modulus mixtures and comparing them with the conventional mixture, to achieve this objective, asphalt concrete mixes were prepared and then tested to evaluate their engineering properties which include moisture damage, resilient modulus, permanent deformation and fatigue characteristics. These prope
... Show MoreIn the 1980s, the French Administration Roads LCPC developed high modulus mixtures (EME) by using hard binder. This type of mixture presented good resistance to moisture damage and improved mechanical properties for asphalt mixtures including high modulus, good fatigue behaviour and excellent resistance to rutting. In Iraq, this type of mixture has not been used yet. The main objective of this research is to evaluate the performance of high modulus mixtures and comparing them with the conventional mixture, to achieve this objective, asphalt concrete mixes were prepared and then tested to evaluate their engineering properties which include moisture damage, resilient modulus, permanent deformation and fatigue characteristics. These pro
... Show MoreIn this paper,the homtopy perturbation method (HPM) was applied to obtain the approximate solutions of the fractional order integro-differential equations . The fractional order derivatives and fractional order integral are described in the Caputo and Riemann-Liouville sense respectively. We can easily obtain the solution from convergent the infinite series of HPM . A theorem for convergence and error estimates of the HPM for solving fractional order integro-differential equations was given. Moreover, numerical results show that our theoretical analysis are accurate and the HPM can be considered as a powerful method for solving fractional order integro-diffrential equations.
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The issue of increasing the range covered by a wireless sensor network with restricted sensors is addressed utilizing improved CS employing the PSO algorithm and opposition-based learning (ICS-PSO-OBL). At first, the iteration is carried out by updating the old solution dimension by dimension to achieve independent updating across the dimensions in the high-dimensional optimization problem. The PSO operator is then incorporated to lessen the preference random walk stage's imbalance between exploration and exploitation ability. Exceptional individuals are selected from the population using OBL to boost the chance of finding the optimal solution based on the fitness value. The ICS-PSO-OBL is used to maximize coverage in WSN by converting r
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Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length equal to 250 m, were selected in Al-Diwaniyah, Iraq, to develop PCI-IRI relationships. In terms of the quantity and severity of eac
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This paper proposes a neuro-fuzzy system to model β-glucosidase activity based on the reaction’s pH level and temperature. The developed fuzzy inference system includes two input variables (pH level and temperature) and one output (enzyme activity). The multi-input fuzzy inference system was developed in two stages: first, developing a single input-single output fuzzy inference system for each input variable (pH, temperature) separately, using the robust adaptive network-based fuzzy inference system (ANFIS) approach. The neural network learning techniques were used to tune the membership functions based on previously published experimental data for β-glucosidase. Second, each input’s optimized membership functions from the ANF
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