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.
Objective (s): to assess nurses' practices regarding discharge planning post-cardiac surgery and to find out the relationship between nurse practices and demographic characteristic (age, gander, level of education, years of experiences, and years of experiences in surgical ward).
Methodology: A descriptive study was carried out at cardiac centers and hospitals in Baghdad (Ibn Al- Bitar specialized center for cardiac surgery; Iraqi center for heart disease and Ibn al Nafees hospital). For the period of 6th February 2017 up to 1st of June 2018. A non-probability (purposive) sample of (58) nurses (male & female) who were working in surgical wards. The data was collected, by using of a questionnaire, which consists of two parts, part
This study aimed to measure the innovative thinking and cognitive cessation among university students. The sample consisted of (400) male and female students at al Mustansiriya University for the academic year (2018/2019). The results of the study showed that there are differences in innovative thinking and cognitive inhibition according to the gender variable in favor of males. There is a positive relationship between innovative thinking and cognitive inhibition. In light of these findings, the researcher presented a set of conclusions and recommendations.
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In this paper, double Sumudu and double Elzaki transforms methods are used to compute the numerical solutions for some types of fractional order partial differential equations with constant coefficients and explaining the efficiently of the method by illustrating some numerical examples that are computed by using Mathcad 15.and graphic in Matlab R2015a.
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Artificial Neural Networks (ANN) is one of the important statistical methods that are widely used in a range of applications in various fields, which simulates the work of the human brain in terms of receiving a signal, processing data in a human cell and sending to the next cell. It is a system consisting of a number of modules (layers) linked together (input, hidden, output). A comparison was made between three types of neural networks (Feed Forward Neural Network (FFNN), Back propagation network (BPL), Recurrent Neural Network (RNN). he study found that the lowest false prediction rate was for the recurrentt network architecture and using the Data on graduate students at the College of Administration and Economics, Univer
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Abstract
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