The current research aims to analyze the role of participatory budgeting in improving performance, especially during crises such as the Covid-19 crisis. The research used the descriptive analytical method to reach the results by distributing 100 questionnaires to a number of employees in Iraqi joint stock companies and at multiple administrative levels. The research came to several important conclusions, the most important of which is that the bottom-up approach to budgeting produces more achievable budgets than the top-down approach, which is imposed on the company by senior management with much less employee participation. Additionally, there is a better information flow from the lower levels of the organization to the upper management

Background: since December 2019, China and in particularly Wuhan, faced an unprecedented an outbreak challenge of coronavirus disease 2019, caused by the severe acute respiratory syndrome coronavirus 2. Clinical characteristics of Iraqi patients with COVID-19 and risk factors for mortality needed to be shared with the health care providers to improve the overall disease experience. Methods: prospective, single-center study recruited patients with confirmed SARS-CoV-2 infection who were admitted to Al-Shifaa Isolation Center / Baghdad Medical City between the mid of March and the end of April 2020 until had been discharged or had died. Demographic data, information on clinical signs, symptoms, at presentation, treatment, have been collected

<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

Abstract

The present paper attempts to detect the level of (COVID-19) pandemic panic attacks among university students, according to gender and stage variables.

To achieve this objective, the present paper adopts the scale set up by (Fathallah et al., 2021), which has been applied electronically to a previous cross-cultural sample consisting of (2285) participants from Arab countries, including Iraq. The scale includes, in its final form, (69) optional items distributed on (6) dimensions:  physical symptoms (13) items, psychological and emotional symptoms (12) items, cognitive and mental symptoms (11) items, social symptoms (8) items, general symptoms (13) items and daily living practices (12) items

The COVID-19 pandemic has had a huge influence on human lives all around the world. The virus spread quickly and impacted millions of individuals, resulting in a large number of hospitalizations and fatalities. The pandemic has also impacted economics, education, and social connections, among other aspects of life. Coronavirus-generated Computed Tomography (CT) scans have Regions of Interest (ROIs). The use of a modified U-Net model structure to categorize the region of interest at the pixel level is a promising strategy that may increase the accuracy of detecting COVID-19-associated anomalies in CT images. The suggested method seeks to detect and isolate ROIs in CT scans that show the existence of ground-glass opacity, which is fre

المقدمة

ان الاهتمام الاساسي في طرق الادارة الحديثة ينصب على تحقيق رضا المستهلك او الزبون، والذي يشكل الاولية الاولى، فالزبائن يشكلون محور نجاح كل تنظيم، فعدد التنظيمات التي تستهدف استلهام التوجه من العملاء (Customer driven) كبيرة ومتزايدة.

المنظمات الناجحة (Prosper) تركز بشكل كبير على زبائنها في عملية صنع القرار، فالمحاسبون الاداريون فيها يعطون انتباهاً متز

ملخـــص البحــــث

          الإسلام بحق هو دين الإنسانية وشريعته هي الشريعة الواجبة الإتباع ورسولنا الأعظم محمد (عليه الصلاة والسلام) هو خاتم الأنبياء والمرسلين بعثه الله تبارك وتعالى بالحق وختم به الرسالات وأن الله سبحانه وتعالى بين ما على الإنسان من واجبات التصديق والإيمان بوحدانيته وتنزيهه وأشار إلى عباده ما لهم من حقوق سواء في الآيات القرآنية الكريمة أو ف

يتمثل الهدف الأساس للبحث بالتعرف على دور عناصر المزيج التسويقي (المنتج، السعر، الترويج، التوزيع، العاملون، الدليل المادي، العملية) في تعزيز ولاء الزبون (الولاء السلوكي، الولاء الموقفي، الولاء الادراكي)، ولغرض تحقيق الهدف اعتمد الباحث المنهج الوصفي التحليلي لتحليل فرضيات الارتباط والتأثير للبحث، تم جمع المعلومات من خلال الاستبانة التي عدت لهذا الغرض، وجرى استطلاع آراء (300) زبون من زبائن الأسواق، واستعم