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The effect of music therapy in lowering high blood pressure in patients with diseases of sugar
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      Faces of the individual in his life many stressful events, which includes expertise undesirable, and events may involve a lot of sources of tension and the risk factors and threats in all areas of life, and this would make the stressful events play a role in the genesis of many diseases physical.            

The high blood pressure is one of the most Actual manifestations of mental stress in the present scale physical disorders which may frequently in men relative to women, which may be caused by spasms in the blood vessels.      

    The disease blood sugar is one of the most ailments psychosomatic prevalent at the moment as it is now represents more health challenges in the world of the twenty-first century, to be considered an epidemic threatens developing and developed countries alike because of what the resulting complications dangerous such as heart disease, high blood pressure, blood vessels, amputation, kidney failure, blindness and thus lead to a deficit, and low life expectancy.                                                                                 

Because physiological disorders play a major role in the occurrence of psychosomatic illnesses, and in continuation and raise, and the weakness of the individual in the face of resistance. It is this sense care of psychologists and doctors searching for therapeutic find ways to be more useful with these patients in terms of material and physical, including music therapy.              

The Aim of the research: -                                                                       

  Current research aims to identify the impact of music therapy in lowering high blood pressure in patients with diseases of sugar according to their sex, job.                                                                                                      

The limits of theresearch.: -                                                                   

       Search is limited to the study of hypertension in disease with diseases of sugar to a sample of students and staff of the Belarusian State University in the province (Minsk) for the academic year (2012)                                       

Research procedures.: -                                                                        

      The researcher has chosen a way intentional sample order to examine the students and university staff Belarusian government who suffer from diseases of sugar who have high blood pressure, reaching research sample (24) individuals, then the researcher divided the sample equally to (12) individuals by (6) members of the male and (6) members of the females as well as for variable job to (6) members of the staff and (6) members of the students in each group. After this procedure has the measurement of blood pressure in all of them to see the impact of the program on them before and after the experiment, as the researcher also built a treatment program music, which included three sessions, as each session included specific musical tone. Also the researcher introduced paragraphs program with musical tunes on a group of experts to extract the face validity. implementation of the program, the results showed that music therapy program had an effect in lowering blood pressure in patients with diseases of sugar. 

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Publication Date
Thu Jul 01 2021
Journal Name
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Community detection is useful for better understanding the structure of complex networks. It aids in the extraction of the required information from such networks and has a vital role in different fields that range from healthcare to regional geography, economics, human interactions, and mobility. The method for detecting the structure of communities involves the partitioning of complex networks into groups of nodes, with extensive connections within community and sparse connections with other communities. In the literature, two main measures, namely the Modularity (Q) and Normalized Mutual Information (NMI) have been used for evaluating the validation and quality of the detected community structures. Although many optimization algo

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