Deep learning convolution neural network has been widely used to recognize or classify voice. Various techniques have been used together with convolution neural network to prepare voice data before the training process in developing the classification model. However, not all model can produce good classification accuracy as there are many types of voice or speech. Classification of Arabic alphabet pronunciation is a one of the types of voice and accurate pronunciation is required in the learning of the Qur’an reading. Thus, the technique to process the pronunciation and training of the processed data requires specific approach. To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to

          Sentiment analysis refers to the task of identifying polarity of positive and negative for particular text that yield an opinion. Arabic language has been expanded dramatically in the last decade especially with the emergence of social websites (e.g. Twitter, Facebook, etc.). Several studies addressed sentiment analysis for Arabic language using various techniques. The most efficient techniques according to the literature were the machine learning due to their capabilities to build a training model. Yet, there is still issues facing the Arabic sentiment analysis using machine learning techniques. Such issues are related to employing robust features that have the ability to discrimina

This  study  is concerned   measuri ng the concentration of some

ions l ike  calci um,  sodium, potassium, chlor,  lithium, carbonate and bicarbonate in drinking  and  river water  in AI-Muthana  and AI-Basrah

cities_

These  ions usually are found in normal water.  When we take di!Ierent samples  from different  regions  on the  E uph rates river  in Al­ Muthana  and A1-Basrah cities  we fou nd that the d rinking water  in Al­ Basrah contains a high prccent from  those ions. The  low preccnt from those  ions found  in Arab  river as compared with Euphrates  river. This study

   In the present study, serum GOT(Glutamic Oxalacetic Transaminase) was purified, the purified enzyme showed the maximum activity at 37ºC and pH 7.5. During purification of serum GOT ion exchange chromatography lead to four separate forms (termed I, II, III and IV). GOT II with  the highest specific activity was pure after chromatography on Sephacryl S300. . S.GOT levels were investigated in serum samples from patient with pulmonary tuberculosis .The S.GOT levels were determined at and 37ć .The study revealed that the serum GOT activity was higher in patient of tuberculous pulmonary than in control subjects.The mean serum GOT activity in the patients group was(90±8 IU/L) as compared to control group (27±0.65I

Background: Diabetic patients have been reported to be more susceptible to gingivitis and periodontitis than healthy subjects. Many intracellular enzymes like (alkaline phosphatase- (ALP), aspartate aminotransferase- (AST) and alanine aminotransferase- (ALT) that are released outside cells into the gingival crevicular fluid (GCF) and saliva after destruction of periodontal tissue during periodontitis. This study was conducted to determine the periodontal health status and the levels of salivary enzymes (ALP, AST and ALT) of the study and control groups and to correlate the levels of these enzymes with clinical periodontal parameters in each study group. Subjects, Materials and Methods: One hundred subjects were enrolled in the study, with a

The present study was included a measurements of fasting serum glucose, total protein, potassium, and calcium levels in the sera of 25 diabetic male patients suffer from chronic renal failure; their ages range were (32-75) and compared them with 25 healthy males as control group. The aim of this study was to study the effects of antidiabetic drugs on some biochemical parameters such as fasting serum glucose, serum total protein, serum potassium and calcium. The current results demonstrated a hyperkalemia in patients and this increasing of potassium is significantly (p = 0.03), but calcium level showed no significant variations ( p>0.05 ), and serum total protein was significantly decreased in patients as compared to t

ervical cancer is one of the most frequently diag nosed malignancies representing the fourth leading cause of cancer-related death in females’ worldwide, with approximately 500,000 new cases diagnosed and 280,000 deaths occurring each year. Mxi1, an antagonist of c-Myc, maps to human chromosome 10q24-q25, a region altered in a substantial fraction of prostate tumors, in prostate cancer, where a high frequency of loss and mutation of the MXI1 gene has been reported. The aim of present study was to find out the possible association of exon deletion of MXI1 gene with incidence of cervical abnormalities and cancers in some Iraqi married women. The present study include collection of 120 scraping cervical cells samples from women clinically di

Irisin is a novel myokine and adipokine, its role during pregnancy and its association with some metabolic risk factors especially pre-pregnancy body mass index (pre-BMI) need more evaluation. The aim of the study is to find whether the pre-BMI could predict irisin levels during normal pregnancy and to clarify associations of irisin with some pathological parameters.

Irisin levels were estimated by ELISA in sera of 59 normal pregnant women who enrolled from December 2016 to May 2017 at Maternity Hospital, Zakho city, Kurdistan region (Iraq). Thirty-two normal-weight pregnant (pre-BMI≤24.9 kg/m², Age=24.03 mean±3.7standard deviation) and 27 overweight/obese-pregnant (pre-BMI>25 kg/m², Age=27.6 mean±3.9

      The present paper discusses one of the most important Russian linguistic features of Arabic origin Russian lexes denoting some religious worship or some political and social positions like Qadi, Wally, Sultan, Alam, Ruler, Caliph, Amir, Fakih, Mufti, Sharif, Ayatollah, Sheikh.. etc.  A lexical analysis of the two of the most efficient and most used words of Arabic origin Russian lexes that are “Caliph and Sheikh” is considered in the present study. The lexicographic analysis of these words makes it possible to identify controversial issues related to their etymology and semantic development.

The study is conducted by the use of the modern Russian and Arabic dictionary, specifically, (Intermediate lexicon Dictionary