تعد مشكلة الضبابية في انجاز المشاريع وبخاصة مشاريع االبنية من المشاكل المهمة التي ينبغي وضع حلول مناسبة لها بغية الحصول على مشروع متكامل وناجح وضمن المواصفات القياسية المطلوبة من خالل االلتزام بوقت االنجاز واستثمار الموارد المتاحة للجهة المنفذة للمشروع افضل استثمار ، ان هذه المشكلة ناتجة عن معلومات او بيانات غير واضحة تعاني من الغموض او بسبب وجود نقص فيها سواء كانت متعلقة بوقت او بتكلفة انجاز المشاريع له

   اتجهت المحكمة الاتحادية العليا في العراق الى عدم امتداد رقابتها على بواعث التشريع وحصرت ولايتها على ظاهر النص حين قضت:" .. كما لمست هذه المحكمة من الأقضية الدستورية المقارنة أن ولاية المحاكم الدستورية تنبسط على ظاهر النص ولا تمتد إلى بواعث التشريع وأسبابه البعيدة لأن ذلك يعد من صميم اختصاص السلطة التشريعية ..." (1)    وإذ كانت المحكمة قد دأبت ،بحق، على تمسكها بمبدأ الفصل بين السلطات ، فضلاً عن كونها عدت

The study aimed to determine the impact of awareness of the exercisearm at the level of performance skill Tabtabp in basketball.Used the experimental approach to female students of the fourth stage(25) Ksmo students into two groups (experimental and officer) applied theempirical understanding of the arm exercises, during Tabtabp (to push theball) introduced in the main section of the application of the lesson and by(10) minutes and over the 8 weeks . Concluded that the awareness of thearm exercises a positive influence in the development of skill in basketballTabtabp of members of a sample search.It recommends that researchersfocus on understanding the exercise arm, especially during the lesson toupgrade the performance of skill.God bless

<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

BACKGROUND: COVID-19 is resulted from severe acute respiratory syndrome coronavirus 2, which initiated in China in December 2019. Parasites are efficient immune modulators because their ability to stimulate an immune response in infected persons. AIM: This study aims to detect if there is a probable relationship between intestinal parasitic infections and COVID-19. METHODS: Ninety patients consulted at Al-Kindy Teaching Hospital (Al-Shifa center) from October 2020 till April 2021, confirmed infection with COVID-19 by PCR. Stool examination was done for detecting intestinal parasites. RESULTS: From 90 patients, males were 63 (70%), with median age 32 years, while females were 27 (30%), with age 24–44 years. Asymptomatic pati

Article information: COVID-19 has roused the scientic community, prompting calls for immediate solutions to avoid the infection or at least reduce the virus's spread. Despite the availability of several licensed vaccinations to boost human immunity against the disease, various mutated strains of the virus continue to emerge, posing a danger to the vaccine's ecacy against new mutations. As a result, the importance of the early detection of COVID-19 infection becomes evident. Cough is a prevalent symptom in all COVID-19 mutations. Unfortunately, coughing can be a symptom of various of diseases, including pneumonia and inuenza. Thus, identifying the coughing behavior might help clinicians diagnose the COVID-19 infection earlier and distinguish

The research aims to explain the role of the flexible budget in assessing the feedback resulting from deviations by comparing the actual results with the planned performance in light of the economic crisis that the world witnessed during the spread of Corona disease. As most companies, including the Electronic Industries Company, face the problem of controlling production costs and are trying hard to reduce these costs to the lowest level starting from measuring these costs and allocating them and distributing them to products. This helps in controlling deviations and thus the flexible budget becomes a tool that helps in controlling elements Costs

Factor analysis is distinguished by its ability to shorten and arrange many variables in a small number of linear components. In this research, we will study the essential variables that affect the Coronavirus disease 2019 (COVID-19), which is supposed to contribute to the diagnosis of each patient group based on linear measurements of the disease and determine the method of treatment with application data for (600) patients registered in General AL-KARAMA Hospital in Baghdad from 1/4/2020 to 15/7/2020. The explanation of the variances from the total variance of each factor separately was obtained with six elements, which together explained 69.266% of the measure's variability. The most important variable are cough, idleness, fever, headach

The internet has been a source of medical information, it has been used for online medical consultation (OMC). OMC is now offered by many providers internationally with diverse models and features. In OMC, consultations and treatments are available 24/7. The covid-19 pandemic across-the-board, many people unable to go to hospital or clinic because the spread of the virus. This paper tried to answer two research questions. The first one on how the OMC can help the patients during covid-19 pandemic. A literature review was conducted to answer the first research question. The second one on how to develop system in OMC related to covid-19 pandemic. The system was developed by Visual Studio 2019 using software object-oriented approach. O