The labor inspector may be exposed - while performing his duties that are legally assigned to him - to threats or attacks on him by employers, which makes it impossible for the inspector to perform these jobs.

This has prompted international and Arab labor inspection standards, as well as national labor laws, to emphasize the need to provide security support and legal protection for the labor inspector, and to punish employers' violators, with the aim of extending the authority and prestige of the state and ensuring the enforcement of laws and thus achieving the goals for which it was legislated.

Background: Periodontitis is a long-standing infection that destroys the gums, periodontal ligaments, and the alveolar bone that supports the teeth. Inflammation of the gums and chronic periodontitis are both caused by the bacteria in the dental plaque and the herpes viruses, especially types 1 and 2 of the herpes simplex virus.

Objectives: To compare the ELISA and real-time PCR as ways to detect the herpes simplex virus in breast cancer pat

Background: Infection with Hepatitis C virus (HCV) is a major cause of chronic liver disease, WHO estimated that about 170 million people are infected with Hepatitic C virus, Silymarin (Legalon) have been recently shown to be effective in treatment of Hepatitic C virus infection.
Objectives: The effectiveness of Legalon (Silymarin) on viral load in patients with Hepatitic C virus infection.
Patients and methods: A prospective case – control study included 400 patients with Hepatitis C virus infection. 200 patients (group A) were treated with (peg-interferon, ribavirin, silymarin) the other 200 patients (group B) were treated with (peg-interferon, ribavirin) . only G1 & G4 genotypes were included , viral load were assessed ini

Objectives: The study aims to evaluate effectiveness of health education program on health care providers’ knowledge toward immunization of children at primary health care centers in Kirkuk city.

Methodology: A quasi –experimental study design two- group (pre-test, post-test 1 and post-test 2) conducted at primary health care centers in Kirkuk city during the period from 28 October 2019 to 10 August 2020. By collecting (50) samples divided into two groups, each one (25) participant as control & study group. The study group exposed to the education program only.

Results: Results showed a clear positive

 A mixture model is used to model data that come from more than one component. In recent years, it became an effective tool in drawing inferences about the complex data that we might come across in real life. Moreover, it can represent a tremendous confirmatory tool in classification observations based on similarities amongst them. In this paper, several mixture regression-based methods were conducted under the assumption that the data come from a finite number of components. A comparison of these methods has been made according to their results in estimating component parameters. Also, observation membership has been inferred and assessed for these methods. The results showed that the flexible mixture model outperformed the

The problem of the study and its significance:

           Due to the increasing pressures of life continually, and constant quest behind materialism necessary and frustrations that confront us daily in general, the greater the emergence of a number of cases of disease organic roots psychological causing them because of severity of a lack of response to conventional treatments (drugs), and this is creating in patients a number of emotional disorders resulting from concern the risk of disease

     That is interested psychologists and doctors searchin

Objective : The study was carried out to construct an initial assessment documentation tool for nursing
recording system in Coronary Care Unit.
Methodology : A descriptive, purposive sample of (65) nurses was selected from CCU of main
teaching hospitals (Al Karama, Al Kindy, Al Kadimia, Al Yarmmok, Baghdad teaching hospital, Ibn
Al Naffis hospital) and Ibn-Al betar hospital in Baghdad city from the 15th of April 2004 to the 15th of
April 2006.
The instrument was constructed and comprised of two sections: section one included the
nurses' demographic characteristic; section two was the initial assessment documentation tool that
contained (2) parts including: General information form and the initial assessment form.

Background:Nipple discharge is a relatively common complaint of females in reproductive age and after menopause.

Objectives: The aim of this stud was to compare the radiological findings of mammography and ultrasound in women with pathological nipple discharge of different pathology.

 Methods:  mammography and ultrasound was done for a total of 50 patients attending the National center of Early detection of Breast cancer with pathological nipple discharge. Ultrasound guided FNA was performed for all cases, and histopathology was available for eleven case.

Results: ultrasound was able to provide clue of possible underlying cause for all pathological nipple discharge whereas mammography was negative in 54%

In 2020 one of the researchers in this paper, in his first research, tried to find out the Modified Weighted Pareto Distribution of Type I by using the Azzalini method for weighted distributions, which contain three parameters, two of them for scale while the third for shape.This research compared the distribution with two other distributions from the same family; the Standard Pareto Distribution of Type I and the Generalized Pareto Distribution by using the Maximum likelihood estimator which was derived by the researchers for Modified Weighted Pareto Distribution of Type I, then the Mont Carlo method was used–that is one of the simulation manners for generating random samples data in different sizes ( n= 10,30,50), and in di

Generally, statistical methods are used in various fields of science, especially in the research field, in which Statistical analysis is carried out by adopting several techniques, according to the nature of the study and its objectives. One of these techniques is building statistical models, which is done through regression models. This technique is considered one of the most important statistical methods for studying the relationship between a dependent variable, also called (the response variable) and the other variables, called covariate variables. This research describes the estimation of the partial linear regression model, as well as the estimation of the “missing at random” values (MAR). Regarding the