The role of Iraqi newspapers in instilling political culture among the public after 2003, a field study on the audience of the city of Baghdad, University of Baghdad, College of Information, Department of Journalism, 2019,
The problem of research is to investigate the role of Iraqi newspapers in instilling the political culture of individuals after 2003, and monitor this role Through the contents and messages provided by the Iraqi newspapers to the public. the research is classified within descriptive research, it adopts the survey methodology and used the questionnaire tool. In fact, the questionnaire was distributed to a sample of 400 individuals that was selected according to the method of multi-stage cluster sample of those who read the Iraqi newspapers in paper and electronic format.
The research reached a number of results, most notably:
1) Concerning the research on the concept of political culture from the viewpoint of the respondents: "the development of political awareness in all political" ranked first with (37.3%), followed by "the process of political participation in various
2) The results of the research indicate that the overall average of the degree of knowledge achieved by reading the Iraqi newspapers was (2.45) and (61.2%) .
3) The largest number of respondents confirmed that the most prominent political information and knowledge covered by the Iraqi newspapers is "political knowledge regarding the daily events of the country" as reached 27.4%.
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This paper presents a robust algorithm for the assessment of risk priority for medical equipment based on the calculation of static and dynamic risk factors and Kohnen Self Organization Maps (SOM). Four risk parameters have been calculated for 345 medical devices in two general hospitals in Baghdad. Static risk factor components (equipment function and physical risk) and dynamics risk components (maintenance requirements and risk points) have been calculated. These risk components are used as an input to the unsupervised Kohonen self organization maps. The accuracy of the network was found to be equal to 98% for the proposed system. We conclude that the proposed model gives fast and accurate assessment for risk priority and it works as p
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