Survival analysis is one of the types of data analysis that describes the time period until the occurrence of an event of interest such as death or other events of importance in determining what will happen to the phenomenon studied. There may be more than one endpoint for the event, in which case it is called Competing risks. The purpose of this research is to apply the dynamic approach in the analysis of discrete survival time in order to estimate the effect of covariates over time, as well as modeling the nonlinear relationship between the covariates and the discrete hazard function through the use of the multinomial logistic model and the multivariate Cox model. For the purpose of conducting the estimation process for both the discrete

Abstract

The purpose of the present paper is to light on the relationship between jobs design, analysis and its reflections on reinforcing workers' vocational adjustment. The present paper aims to accomplish cognitive and applied goals, top of which, test of functional analysis ability to have effect upon workers' vocational adjustment via job design directly and indirectly owning to the virtual factor practiced by these practices on the sought organization. The problem of the present paper comes with many, the most important is the of how to bolster and back up worker's technical adjustment through good and accurate design for the job.

Based on this problem and goals as to expla

One of the most critical functions of the government is the devising and planning for the Public Budget for the coming years. Studying any budget of any given state would directly reflect on its intentions and collective direction during a certain time span. Since all allocations represent the government's agenda and time plan for coming years. And the size of each allocation would measure the priority of each budgetary item. Because of the eminent importance of the public budget planning in Iraq, a country of abundant riches and human resources that flow in the national economy, we present this research that would cover the resources versus expenditures of Iraq's public budget endured by the government to sustain its various sec

Objective(s): This study aimed to evaluate job satisfaction among nurses working at primary health care centers        in Samawa City.

Methodology: A Descriptive evolutional study has been carried out during the period from 1 February 2022 to 1 June 2022. A nonprobability (convenience) sample of (200) nurse were selected from different educational level. A questionnaire format is developed for the purpose of fulfilling the objectives of the study. Content validity of the questionnaire and reliability has been determined. Data are analyzed using IBM SPSS version 19 software (2010).

Results: The findings indicate that 52% of nurses are showing high level of job satisfa

The research included five sections containing the first section on the introduction o research and its importance and was addressed to the importance of the game of gymnastic and skilled parallel bars effectiveness and the importance of biochemical variables, either the research problem that there is a difference in learning this skill and difficulty in learning may be one of the most important reasons are falling and injury Has a negative impact on the performance and lack of sense of movement of is one of the obstacles in the completion of the skill and the goal of research to design a device that helps in the development of biochemical changes to skill of rear vault dismount with one-half twist on parallel bars in gymnastics . And the n

 Researchers have increased interest in recent years in determining the optimum sample size to obtain sufficient accuracy and estimation and to obtain high-precision parameters in order to evaluate a large number of tests in the field of diagnosis at the same time. In this research, two methods were used to determine the optimum sample size to estimate the parameters of high-dimensional data. These methods are the Bennett inequality method and the regression method. The nonlinear logistic regression model is estimated by the size of each sampling method in high-dimensional data using artificial intelligence, which is the method of artificial neural network (ANN) as it gives a high-precision estimate commensurate with the dat