The study current included histological structure of stomach of Liza abu , anatomical results found that stomach represent the expander non-convoluted part of gastrointestinal tract it is located between the end of the esophagus and the beginning of the intestine , the average length of stomach was (1.5) cm , composed of two parts : cardiac stomach which is represent the anterior part and be thin- walled , the other part was pyloric stomach or gizzard and the walls were thick . The internal surface of cardiac and pyloric stomach contain longitudinal folds numbering (7), folds branching to finger shape structures extend inside the lumen . Histological study showed that stomach wall composed of three main histological layers : mucos

 The study includes histological structure of  pyloric caeca , intestine and rectum of Liza abu , the results show that the pyloric caeca are non-branched fingerlings structures numbering (4) and length rate was (0.5) cm , while the intestine of Liza abu was long narrow tube composed of a number of laps , the anterior part of intestine was wider in diameter than the posterior part , the length of intestine was (32) cm , the rectum was straight tube extends from the end of posterior part of intestine to the anus.         The wall of pyloric caeca , intestine and rectum consists of main layers : mucosa , submucosa , muscularis and serosa , lining epithelium of  pyloric caeca , intestin

Acne vulgaris is a very common, chronic disorder, involving inflammation of the pilosebaceous units that can be varied in presentation and difficult to treat. Inflammatory acne may yield both scarring and pigmentary changes so early and adequate therapy will, in all cases, decrease its severity and may entirely suppress this disease. Serratiopeptidase has anti-inflammatory, anti-edemic and fibrinolytic activity and acts rapidly on localized inflammation. Serratiopeptidase was added in aim to hasten acne resolution. During March to July 2010, A comparative study for a 50 healthy patient suffering from acne was divided into 2 groups: 1^st group treated by common acne modalities and the 2^nd one with same modalities

In Baghdad city, Iraq, the traffic volumes have rapidly grown during the last 15 years. Road networks need to reevaluate and decide if they are operating properly or not regarding the increase in the number of vehicles. Al-Jadriyah intersection (a four-leg signalized intersection) and Kamal Junblat Square (a multi-lane roundabout), which are two important intersections in Baghdad city with high traffic volumes, were selected to be reevaluated by the SIDRA package in this research. Traffic volume and vehicle movement data were abstracted from videotapes by the Smart Traffic Analyzer (STA) Software. The performance measures include delay and LOS. The analysis results by SIDRA Intersection 8.0.1 show that the performance of the roundab

In this research, we sought to identify the nature of the relationship between the exchange rate of the Chinese yuan and the value of Chinese exports, through the formulation of a standard model based on the model of common integration, and based on the data of the study and using the test "Angel-Granger" It reflects the relationship between the two research variables, through which the relationship between the RMB exchange rate and the value of Chinese exports was estimated during the period 1978-2017.

MM ABDUL-WAHHAB, SA AHMED, International Journal of Pharmaceutical Research, 2020 - Cited by 2

     Deep learning (DL) plays a significant role in several tasks, especially classification and prediction. Classification tasks can be efficiently achieved via convolutional neural networks (CNN) with a huge dataset, while recurrent neural networks (RNN) can perform prediction tasks due to their ability to remember time series data. In this paper, three models have been proposed to certify the evaluation track for classification and prediction tasks associated with four datasets (two for each task). These models are CNN and RNN, which include two models (Long Short Term Memory (LSTM)) and GRU (Gated Recurrent Unit). Each model is employed to work consequently over the two mentioned tasks to draw a road map of deep learning mod

In this research want to make analysis for some indicators and it's classifications that related with the teaching process and the            scientific level for graduate studies in the university by using analysis of variance for ranked data for repeated measurements instead of the ordinary analysis of variance . We reach many conclusions  for the                         

important classifications for each indicator that has affected on   the teaching process.         &nb