The world is keeping pace with evolution in all its fields as a result of scientists' pursuit of continuous scientific and technological development. This evolution included the sports field, which had a large space in the aspect of development and for all disciplines, Therefore, it's reflected today in what we see of records and advanced achievements in sporting events and activities. The development in the field of sports was the result of scientific research (Hussein and Jawad., 2022), where the interest in the training process has become one of the most important pillars of the development of achievement (Neamah and Altay., 2020). The shooting sport has also witnessed a remarkable development due to the diversity and development of its teaching and training methods, in which the means of learning and training had to develop also in the stages of the shooting process. Thus, it became necessary to find new educational means to ensure the acceleration of shooter learning on the one hand. In addition to helping the trainee to reach the planned level, to facilitate the process of teaching the performance of the stages of the shooting process on the other hand. The development at the level requires the trainers to use applied sciences (Drwysh and Farida, 2017). Dry training for shooters is one of the appropriate educational methods for mastering all the technical, sensory, and motor elements of the shooters performance as it is an essential part of the learning and training process in shooting with air weapons without the use of ammunition. Dry training is one of the educational and training methods at the same time to master all the technical and sensory elements of the shooters' performance. This technique is not a substitute for direct training or direct throwing, it is an essential part of the air weapons training process in general and the air gun weapon in particular. That is, developing an ideal image of different positions of pistol or gun throwing and developing a mental image of the performance attitudes of the accuracy of correction. Accordingly, it is considered one of the training methods for learning the skills of shooting with air weapons, where the aids have an effective impact on the learning and training process. As well as its fundamental role in developing the skill side of the shooters. According to this modern trend, educational devices and aids are manufactured from raw materials available in the local environment at a low cost in order to develop the accuracy of correction in the air pistol for young female shooters. Accuracy is one of the main requirements in shooting (Khalid., 2019), as Researchers use many methods to find out the most important errors that occur when shooting with an air pistol. These errors included the most suitable for the shooting skill, which is the radial, constant, and variable error measures because most of the skills deal with accuracy mainly. The error measures are also adopted at present in order to be clear to the shooter and the coach in order to know the causes of the committed errors that result in poor performance. Hence the research's importance lies in developing a training program for dry training using aids to know the errors that occur at an accuracy of correction with an air gun and the extent of the shot deviation from the center of the target by means of error measures. The researchers aimed to reduce and treat performance errors and weaknesses as much as possible in order to raise the skill capabilities of the accuracy of correction with an air pistol.
1,3,4-oxadizole and pyrazole derivatives are very important scaffolds for medicinal chemistry. A literature survey revealed that they possess a wide spectrum of biological activities including anti-inflammatory and antitumor effects.
To describe the synthesis and evaluation of two classes of new niflumic acid (NF) derivatives, the 1,3,4-oxadizole derivatives (compounds 3 and (4A-E) and pyrazole derivatives (compounds 5 and 6), as EGFR tyrosine kinase inhibitors in silico and in vitro.
The designed compounds were synthesized using convent
Tanuma and Zubair formations are known as the most problematic intervals in Zubair Oilfield, and they cause wellbore instability due to possible shale-fluid interaction. It causes a vast loss of time dealing with various downhole problems (e.g., stuck pipe) which leads to an increase in overall well cost for the consequences (e.g., fishing and sidetrack). This paper aims to test shale samples with various laboratory tests for shale evaluation and drilling muds development. Shale's physical properties are described by using a stereomicroscope and the structures are observed with Scanning Electron Microscope. The shale reactivity and behavior are analyzed by using the cation exchange capacity testing and the capillary suction test is
... Show MoreBackground: Prolapsed intervertebral disc is an important and common cause of low backache. MRI has now become universally accepted investigation for prolapsed intervertebral disc. We, however, regularly come across situations, when MRI shows diffuse disc bulges, even at multiple levels, which cannot be correlated clinically and when such cases are operated, no significant disc prolapse is found resulting in negative exploration.Objective: To evaluate the role of M.R.I. finding not only for diagnosis of disc herniation at lumbar region but also for localization the level of herniationMethods: A prospective study on seventy five symptomatic low backache and MRI confirmed prolapsed intervertebral disc patients at lumbo-sacral region were o
... Show MoreAn improved Metal Solar Wall (MSW) with integrated thermal energy storage is presented in this research. The proposed MSW makes use of two, combined, enhanced heat transfer methods. One of the methods is characterized by filling the tested ducts with a commercially available copper Wired Inserts (WI), while the other one uses dimpled or sinusoidal shaped duct walls instead of plane walls. Ducts having square or semi-circular cross sectional areas are tested in this work.
A developed numerical model for simulating the transported thermal energy in MSW is solved by finite difference method. The model is described by system of three governing energy equations. An experimental test rig has been built and six new duct configurations have b
Background: Coronavirus, which causes respiratory illness, has been a public health issue in recent decades. Because the clinical symptoms of infection are not always specific, it is difficult to expose all suspects to qualitative testing in order to confirm or rule out infection as a test. Methods: According to the scientific studies and investigations, seventy-three results of scientific articles and research were obtained using PubMed, Medline, Research gate and Google Scholar. The research keywords used were COVID-19, coronavirus, blood parameters, and saliva. Results: This review provides a report on the changes in the blood and saliva tests of those who are infected with the COVID-19.COVID-19 is a systemic infection that has
... Show MoreIn this research, Artificial Neural Networks (ANNs) technique was applied in an attempt to predict the water levels and some of the water quality parameters at Tigris River in Wasit Government for five different sites. These predictions are useful in the planning, management, evaluation of the water resources in the area. Spatial data along a river system or area at different locations in a catchment area usually have missing measurements, hence an accurate prediction. model to fill these missing values is essential.
The selected sites for water quality data prediction were Sewera, Numania , Kut u/s, Kut d/s, Garaf observation sites. In these five sites models were built for prediction of the water level and water quality parameters.
Abstract
The research Compared two methods for estimating fourparametersof the compound exponential Weibull - Poisson distribution which are the maximum likelihood method and the Downhill Simplex algorithm. Depending on two data cases, the first one assumed the original data (Non-polluting), while the second one assumeddata contamination. Simulation experimentswere conducted for different sample sizes and initial values of parameters and under different levels of contamination. Downhill Simplex algorithm was found to be the best method for in the estimation of the parameters, the probability function and the reliability function of the compound distribution in cases of natural and contaminateddata.
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