In this work, thin films of undoped and Al-doped CdO with (0.5, 1 and 2) wt.%  were prepared by using thermal vacuum evaporation on glass substrate at room  temperature. The optical absorption coefficient (α) of the films was determined from transmittance spectra in the range of wavelength (400-1100) nm. The spectral transmission and the optical energy band gap decrease from 75% and 2.24 eV to 20%  and 2.1 eV respectively depending upon the Al content in the films, also our studies include the calculation of  the optical constants (refractive index, extinction coefficient, real and imaginary part of dielectric constant) as a function of photon energy.  It is evaluated that the optical band gap of

Background: Venous thromboembolic disease (VTED) is a well known complication that occur following total knee arthroplasty (T.K.A). One of the (VTED) forms is asymptomatic deep venous thrombosis with an incidence has been estimated to be up to ³ 20% in patients undergone primary T.K.A , despite routine treatment with heparin postoperatively.

Objectives : is to assess the prevalence of post-operative asymptomatic D.V.T among patients receiving two different thromboprophylactic drugs after T.K.A.

Patients and methods: 68 patients who had T.K.A were randomly divided for the purpose of post-operative thromboprophylaxis into two groups , group [ A ] (control group) consisted

The purpose of this research is to demonstrate the impact of deposit insurance to reduce banking risks, as banks in various countries of the world face a variety of risks that led to banking and financial crises that led to the failure and bankruptcy of many of its bank, which led to the banks to find quick and appropriate solutions to get rid of these difficulties These solutions include the use of bank deposit protection system for the many risks and sequences of crises that accompanied the Iraqi banking work of thefts, forgery, embezzlement and changing and unstable circumstances. The importance of studying the subject of research through the theoretical framework of banking risks as well as the framework of consideration In order to

اصدرت المحكمة الاتحادية العليا قرارها بالعدد (9/اتحادية/2023) في 14/11/2023 والمتضمن الحكم بانهاء عضوية النائب ( ل.م.ح.د) وعضوية رئيس مجلس النواب (م.ر.ح) اعتباراً من تاريخ صدور الحكم في 14/11/2023 في قضية تتخلص وقائعها قيام النائب ( ل.م.ح.د) باقامة دعوى ضد رئيس مجلس النواب (اضافة لوظيفته ) حول قيام الاخير باستخدام طلب للاستقالة قدم من قبله بتاريخ 7/5/2022 اثناء الدورة النيابية الرابعه تحت الضغط والاكراه لاسباب سياسية ، ولم يتخذ رئ

Most companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak

Background: Chromogranin A is a useful tumor marker for neuroendocrine tumors (NETs) diagnosis & follow-up, Octreotide (somatostatin-long acting repeatable (SAS-LAR)) is an established treatment for NETs. Studies regarding the relation between response to SAS-LAR & the change in Chromogranin A (CgA) plasma level are still lacking.
Objectives: To determine the association between the using of Octreotide (SAS-LAR) and CgA level on time sequence & clinical status.
Patients & methods: a prospective observational study included 38 neuroendocrine patients in The Oncology Teaching Hospital/medical city complex/Baghdad, started at September 2013 till May 2016; assessing their circulating chromogranin A (CgA) plasma levels o

مشكلة البحث   The Problem of the Research

          يعّد التحصيل الدراسي للطلبة عموما من أهم أركان النشاط العقلي في المجال التربوي، فلا تكاد تخلو منه أيه مدرسة، أبتداءً من المدارس الابتدائية وقد تسبقها رياض الأطفال، إلى المدرسة الإعدادية والجامعية ، وقد تمتد إلى مراحل متقدمة في العمر، فكان الطالب وما يزال هو محور العملية ال

Recently, the phenomenon of the spread of fake news or misinformation in most fields has taken on a wide resonance in societies. Combating this phenomenon and detecting misleading information manually is rather boring, takes a long time, and impractical. It is therefore necessary to rely on the fields of artificial intelligence to solve this problem. As such, this study aims to use deep learning techniques to detect Arabic fake news based on Arabic dataset called the AraNews dataset. This dataset contains news articles covering multiple fields such as politics, economy, culture, sports and others. A Hybrid Deep Neural Network has been proposed to improve accuracy. This network focuses on the properties of both the Text-Convolution Neural