The research included the introduction to the research and its importance as knee joint is an important joint in the human body that is prone to injury. One such injury is knee roughness injury that occurs as a result of the stress of the knee joint and age. The importance of examining the need for the use of rehabilitation exercises, especially in the watercourse system, is highlighted by the fact that the aquatic environment is one of the most important factors helping to alleviate pain and rehabilitate the knee joint and thereby improve the mobility of those with knee roughness. The problem of research is that rehabilitation exercises have been developed in the watercourse system on the basis of scientific bases with a repetitive and systematic persistence in improving the motor potentials of patients with knee roughness, knowing the extent to which the rehabilitation of the watercourse system physically affects each infected person and identifying the impact of rehabilitation exercises on those with knee roughness. There are statistically significant differences between tribal and remote test results in some of the motor abilities of former footballers aged 40-45. The objectives of preparing qualifying exercises in the watercourse for knee manhandles were for former football players aged 40-45 years. Recognize the impact of hydromassage rehabilitation exercises on some knee-rough mobility of former football players aged 40-45 years. Findings were: Qualifying exercises used by members of the research sample were positively affected in the motor range of the knee joint and in all directions. The qualifying exercises used by members of the research sample were positively affected by the motor balance of the knee joint. The following rehabilitation exercises used by the members of the research sample were positively affected by the agility of the joint - as well as the development of improved motor range balance and agility as a result of the use of rehabilitation exercises with the aquatic running system prepared in the rehabilitation curriculum, effectively affected the alleviation of the pain resulting from the injury. Recommendations: Use of the rehabilitation programme prepared by the researcher for knee manhandles in treatment centres: change of the environment and use of the aquatic environment as a psychological factor contributing to the broken boredom of the infected in addition to its effective role in treatment. Watercourse exercises and intra-water resistance are important in developing and improving the mobility of those with knee rough knee. and conducting research similar to different samples. Finally the use of a hydropower treats those with knee roughness.
This paper presents a hybrid approach for solving null values problem; it hybridizes rough set theory with intelligent swarm algorithm. The proposed approach is a supervised learning model. A large set of complete data called learning data is used to find the decision rule sets that then have been used in solving the incomplete data problem. The intelligent swarm algorithm is used for feature selection which represents bees algorithm as heuristic search algorithm combined with rough set theory as evaluation function. Also another feature selection algorithm called ID3 is presented, it works as statistical algorithm instead of intelligent algorithm. A comparison between those two approaches is made in their performance for null values estima
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This research aims to estimate stock returns, according to the Rough Set Theory approach, test its effectiveness and accuracy in predicting stock returns and their potential in the field of financial markets, and rationalize investor decisions. The research sample is totaling (10) companies traded at Iraq Stock Exchange. The results showed a remarkable Rough Set Theory application in data reduction, contributing to the rationalization of investment decisions. The most prominent conclusions are the capability of rough set theory in dealing with financial data and applying it for forecasting stock returns.The research provides those interested in investing stocks in financial
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In recent years, social media has been increasing widely and obviously as a media for users expressing their emotions and feelings through thousands of posts and comments related to tourism companies. As a consequence, it became difficult for tourists to read all the comments to determine whether these opinions are positive or negative to assess the success of a tourism company. In this paper, a modest model is proposed to assess e-tourism companies using Iraqi dialect reviews collected from Facebook. The reviews are analyzed using text mining techniques for sentiment classification. The generated sentiment words are classified into positive, negative and neutral comments by utilizing Rough Set Theory, Naïve Bayes and K-Nearest Neighbor
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This project aims to fabricate nanostructures (AgNPS) using the electrical exploding wire (EEW) technique using Rhodamine 6G dye as the probe molecule, investigate the effect of AgNPS on the absorption spectra and surface-enhanced Raman scattering (SERS) activities, and advance using porous silicon as an active substrate for surface-enhanced Raman scattering (SERS). X-Ray diffraction (XRD) was used to investigate the structural properties of the nanostructures (AgNPs). Field emission scanning electron microscopy (FE-SEM) was used to investigate surface morphology. A double beam UV-Vis Spectrophotometer was used to analyze the mixed R6G laser dye(of concentration 1x M) absorption spectra with the nanostructures AgNPS (of concentra
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