Sarcasm is conceders one patterns of undesirable communication, which causes social problems in humans relationships because of the contradictory verbal and nonverbal expressions is known sarcasm may defined , statements with intent to belittle others in different situations, dealing with the individual deliberately, to diminish the will or overwhelmed by the recipe stupid, which generate a reaction when a person listener, raising the intentions of ridicule and undermine it, and this may happen is different from the irony interest increased in sarcasm since the development of scientists "Watzlawick '" and Bevin "Jackson's" in 1967 theory interactive and considered the sarcasm one interaction patterns in the social relationship, which used by peers and adults in our society, so the current research aims to:-Introduce the sarcasm for University of Baghdad staff which achieved when researcher build scale of sarcasm
- identify the level degree of sarcasm among the staff for University of Baghdad
The comparison in sarcasm between males and females of Baghdad University staff-
The current research is determined by University of Baghdad staff in colleges , institutes and centers to achieve the current research goals, sarcasm scale applied on sample consist of (158) employees ,(77)females and (81)males who selected randomly from colleges and centers of researches for University of Baghdad
After collecting and manipulate data statistically by using: T- test for two independent samples, Pearson's correlation coefficient , standard-degree amended and the percentage, the research found the following results
- low level degree of sarcasm in (68%)of the staff were level degree (40 and under), while the percentage accounted the highest level (15%) of employees who were level degree (60 and higher), while the percentage of the middle group was (17 %) the level of scores between (40-60)
- Differences was found in staff, indicates males use sarcasm more than female
As a complement to related aspects of this research, the researchers has put a number of recommendations and suggestions.
The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone
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The research contains four basic topics، the first section related to methodology and regarding the conceptual framework it is discussed in the second section، and the third section concentrated at the presentation and the analysis Scientific results and practical results are section presented in the fourth.
Crime has become a phenomenon associated with human socialization. Wherever human groups are found, a crime, which differs from one society to another, is found. It is one of the most dangerous social issues that undermines the solidarity of a given society. This is because it establishes a takeoff from community's norms, values, customs and traditions, and thus turns into a danger to the lives of people, groups and society that threatens its strength and security. The paper focuses on the crimes that violate the social law, like child rape, incest and electronic extortion, which are increasing in size, increasing as a result their repercussions on the human society. The study seeks several objectives, including: examining the natu
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