Özet

        Dünyanın muhtelif yerlerinde yaşayan, farklı din, kültür ve etnik gruba mensup olan insanlar arasında nazar inancının mevcut olduğu bilinmektedir. Nazar inancı İslam dinine inananlar arasında olduğu gibi farklı semavi ve gayri semavi dinlere inanan insanlar arasında da mevcut olduğu çeşitli pratik ve uygulamalardan tespit edilebilir. İnsanlar, nazara gelmemek için çeşitli yollara başvurmaktadırlar. Kötü nazarlı insanlara karşı her zaman bir korku, rahatsızlık ve çekingenliğin var olduğu söylenebilir. Dolayısıyla birçok insan, nazara ve başına kötü bir şeyin gelmemesi için söz konusu nazarı kötü

Background

Introduction:

Self -medication(SM) is worldwide issue, that have serious adverse effects on individuals and communities

Method:

A descriptive cross-sectional study was carried out among medical students in Anbar   and Fallujah Universities during the period from February to March 2018.  The subjects were asked to fill a questionnaire that consisted from questions for age, gender, educational level, and employment status, in addition, questions for self-medication history.

Results:                     &nbs

The study aims to identify the extent the academics in colleges of applied sciences are familiar with the themes of the national strategy of education 2040 in the Sultanate of Oman. The researchers used the descriptive approach, as well as they adopted a questionnaire with five dimensions as a tool for data collection, which was applied to (120) academics. The results showed that the academics of the applied colleges' familiarity with the National Strategy for Education 2040 in the Sultanate of Oman is average. The study also found that there were no statistically significant differences in the academics estimates of the extent of the Colleges of Applied Sciences academics’ familiarity with the themes of the National Education 2040 Str

أن الغرض من هذه الدراسة هو التحليل الهيكلي لبنية مقياس الصحة النفسية لطلبة الجامعة الذي طورته الجنابي (1991) باستخدام التحليل العاملي. إن 66 طالبا و95 طالبة من كلية التربية في الجامعة المستنصرية قد استجابوا لفقرات المقياس. وقد أظهر التحليل العاملي وجود خمسة عوامل فسرت 30% من التباين, وان هذه العوامل هي الإستقرار العائلي، والأمن الاقتصادي، والمسؤولية الإجتماعية، وتقدير الذات، والأمن النفسي.

In contemporary cities, the expansion of the use of vehicles has led to the deterioration of the urban environment. To counter this, many concepts and strategies emerged that attempted to regulate mobility in cities and limit its effects. The concept of a "complete street" is one of the modern trends concerned with diversifying means of transportation and reducing the disadvantages of mechanical transportation methods This paper discusses the role that complete streets can play in developing the urban environment in the Alyarmok District of Baghdad, which suffers from traffic congestion and its associated problems.In this study, 104 people were surveyed in the Alyarmok region, and the linear regression method was used to analyze their op

Background: Native chest Computed Tomography (CT) is a quick, non-invasive and practical investigation & plays an important role in evaluation of Coronavirus Disease 2019.

Objective: to describe the chest CT findings in patients with confirmed coronavirus disease 2019 (COVID-19) in sample from Baghdad population.

Patients & methods: Study sample consisted of 55 patients with laboratory confirmed COVID-19 from 1^st March through 15^th April 2020. Native chest CT was performed in radiology departments in Medical City Teaching Complex (MCTH). The chest CT images were reviewed & analyzed.

Results: The most frequent CT findings were ground-glass opacities (47.3%) & mixed ground glass

Abstract

Most universities in the world are largely committed to creating credible and transparent admission standards that provide justice in admission and have the ability to predict students' performance in their chosen programs. Hence, this study aimed to reveal the predictive ability of the acceptance criteria for the level of performance of master's students in the College of Education at Sultan Qaboos University. Quantitative data were collected from (115) students' admission documents for those accepted in the postgraduate programs for the academic year 2019-2020, and GPA data was collected from students’ transcripts for the fall semester of 2019. Qualitative data were also collected from the interviews

Coagulation is the most important process in drinking water treatment. Alum coagulant increases the aluminum residuals, which have been linked in many studies to Alzheimer's disease. Therefore, it is very important to use it with the very optimal dose. In this paper, four sets of experiments were done to determine the relationship between raw water characteristics: turbidity, pH, alkalinity, temperature, and optimum doses of alum [   .14 O] to form a mathematical equation that could replace the need for jar test experiments. The experiments were performed under different conditions and under different seasonal circumstances. The optimal dose in every set was determined, and used to build a gene expression model (GEP). The models were co

Currently, one of the topical areas of application of machine learning methods is the prediction of material characteristics. The aim of this work is to develop machine learning models for determining the rheological properties of polymers from experimental stress relaxation curves. The paper presents an overview of the main directions of metaheuristic approaches (local search, evolutionary algorithms) to solving combinatorial optimization problems. Metaheuristic algorithms for solving some important combinatorial optimization problems are described, with special emphasis on the construction of decision trees. A comparative analysis of algorithms for solving the regression problem in CatBoost Regressor has been carried out. The object of

Background: Machine learning relies on a hybrid of analytics, including regression analyses. There have been no attempts to deploy a sinusoidal transformation of data to enhance linear regression models.
Objectives: We aim to optimize linear models by implementing sinusoidal transformation to minimize the sum of squared error.
Methods: We implemented non-Bayesian statistics using SPSS and MatLab. We used Excel to generate 30 trials of linear regression models, and each has 1,000 observations. We utilized SPSS linear regression, Wilcoxon signed-rank test, and Cronbach’s alpha statistics to evaluate the performance of the optimization model. Results: The sinusoidal