Objective(s): To measure the level of job satisfaction and job performance of nurses and to find out
the association between participants' socio-demographic characteristic of nurse and their job
satisfaction and job performance.
Methodology: A descriptive analytic study design was carried out to measure the nurses' level of job
satisfaction and job performance in Al-Suwaira general hospital and to find out the association between
nurses and their socio-demographic characteristic. The study was started from March 5th, 2017 to
September 31th, 2017. The sample was Non - probability (purposive) sample of (100) nurses were
selected according to the study that are actual working in nursing department in Al-Suwaira General
Hospital. The data were collected by direct interview using specific questionnaire thats composed of
three parts (27) items which are: Part (1) Socio-demographic characteristics which included seven
items (age, gender, marital status, level of education, participation in training courses or scientific
conferences inside or outside Iraq and engaged in the nursing by your choice). Part (2) which deals
with job satisfaction and includes (10) items and Part (3) which deals with job performance including
(10) items. Data were analyzed by using (SPSS) package version 20. Descriptive data through
determination of: Frequency, percentage and mean of score. Inferential statistical data analysis
approach: used by enforcement of the Chi –square test used for determining the association between
Socio-demographic characteristics and job satisfaction, job performance, testing the significant of the
contingency coefficient. For this study the significant P-value ≤ 0.05.
Results: ( (77%) were female, (56%) were married, the total grade level of job satisfaction is low, and
present highly statistical significant association between items which is related to job satisfaction and
gender and highly statistical significant association between the items related to the job performance
and age.
Recommendations: The study recommends that establish and follow up programs about job
satisfaction to increase job performance
Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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ABSTRACT:
... Show MoreThe problem of rebellion is considered one of the features of rapid changes that a society undergoes in all spheres and directions of life, especially in the realm of social relations, customs, traditions, values, and principles. Rebellion may manifest itself in rebellion against oneself, against values or traditions, or against social or governmental authority. One may find that submission plays a vital role in all of these interactions. This study deals with the problem of rebellion in the works of two renowned authors: The French Gustave Flaubert and the Israeli Amos Oz, through two main characters who share similar qualities and traits. Emma Bovary and Henna Konin demonstrate this through their rebellion against themselves, their relati
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