The global challenges of contemporary facing societies urge to seek and move to adopt the style conscious in the face of these challenges and work on the investment of human resources and energies humanitarian efficient and effective for the development of the institutional and Management and make it more efficient and effective and meets the requirements and keep pace with global developments , and more aspects of managerial aim is Total Quality Management , as it has become thanks to the sheer amount and large accelerated technical developments and information and communication technologies , which feature of this era , and in the field of education , the charge of it are seeking through the application of total quality management to b

Through this research, We have tried to evaluate the health programs and their effectiveness in improving the health situation through a study of the health institutions reality in Baghdad to identify the main reasons that affect the increase in maternal mortality by using two regression models, "Poisson's Regression Model" and "Hierarchical Poisson's Regression Model". And the study of that indicator (deaths) was through a comparison between the estimation methods of the used models. The "Maximum Likelihood" method was used to estimate the "Poisson's Regression Model"; whereas the "Full Maximum Likelihood" method were used for the "Hierarchical Poisson's Regression Model

The current researsh is aimed to pay attention on concept of human resources hard (Difficult) to manage. Such style of human resourcses has emerged to form anew challenge for busniess organizations.

Management such human resources entails first determing incentives of their behaviour models. Analyzing these models will be important to strategical management of them from work.

In nutshell, this researsh try to recommendation of contemporary literature about future of difficult (hard) human resources management.

    In the subject area (participation and tandem), the study showed the views of Mr. Sadr in this field when researching first: the issue of the necessity of these two phenomena in the language that some imams of the language and principles called for to discuss and respond to, and

يُعد موضوع الذكاء الاصطناعي اليوم أحد أبرز القضايا التي تشغل الباحثين في التكنولوجيا العالية والدقيقة ، وكذلك في باقي الحقول الأخرى نظراًّ لربطها بالمنتجات والخدمات البشرية من أجل تقديم عدة مساهمات الغرض منها تبسيط وتسهيل الحياة الانسانية في مختلف المجالات في حالة إذا ما تم استخدامها وفق نهج أخلاقي مستدام يتضمن مجموعة من المبادئ كالعدالة والموضوعية والشفافية والمساءلة والمساواة ، وهي مبادئ تهدف بشكل عام

To evaluate the toxicity of benzalkonium chloride in aquaculture, the hemato-serological indices of Nile tilapia Oreochromis niloticus are used as biomarkers. Following exposure to three concentrations of benzalkonium chloride BAC 0.1, 0.25, 0.50, and 1 mg/l (BAC1,2,3 and 4) in aquaria for two durations 21 and 42 days, the microbiological assay in fish aquaria, in addition to blood parameters were assessed. Except for the mean difference between BAC2 and BAC3 (P > 0.05) at 42 days, the mean values of the bacterial counts revealed a significant difference between all compared groups (0.05 ≥ P ≤ 0.01). Following exposure to the lower concentrations of BAC (1, 2 and 3), the main blood parameters of Oreochromis niloticus namely red bl

The architecture Greek first civilizations, which focused on the design and planning of cities taking into account the percentages aesthetic and artistic forms beautiful and characterized Greek civilization styles three league and Ionian and Corinthian, has launched these names on this models relative to the form of

 It was the most important weapons that were used during the long cultural war standing against Islam, it is interesting colonists Muslim women special attention, and directed to lure women rebellion against religion, and go out on their own teachings in this religion,

Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac