Background: The primary goal of this study is to perceive the immunological differences in mean level of IFN- and IL-12 in persons who have positive results for anti-toxoplasma gondii antibodies compared to persons who gave negative results for these antibodies. The secondary goal is to inspect the endocrineimmune interaction in thesepersons by detecting the effect of testosterone hormone level on cellular immune response namely, IL-12& IFN- . This study also detect the effect of Toxoplasma gondii on the level of testosterone hormone in those persons compared with healthy control.
Objective: Investigate the relationship between T. gondii and serum IL-12,IFN- and testosterone hormone levels in asymptom

A few examinations have endeavored to assess a definitive shear quality of a fiber fortified polymer (FRP)- strengthened solid shallow shafts. Be that as it may, need data announced for examining the solid profound pillars strengthened with FRP bars. The majority of these investigations don't think about the blend of the rigidity of both FRP support and cement. This examination builds up a basic swagger adequacy factor model to evaluate the referenced issue. Two sorts of disappointment modes; concrete part and pulverizing disappointment modes were examined. Protection from corner to corner part is chiefly given by the longitudinal FRP support, steel shear fortification, and cement rigidity. The proposed model has been confirmed util

The convolutional neural networks (CNN) are among the most utilized neural networks in various applications, including deep learning. In recent years, the continuing extension of CNN into increasingly complicated domains has made its training process more difficult. Thus, researchers adopted optimized hybrid algorithms to address this problem. In this work, a novel chaotic black hole algorithm-based approach was created for the training of CNN to optimize its performance via avoidance of entrapment in the local minima. The logistic chaotic map was used to initialize the population instead of using the uniform distribution. The proposed training algorithm was developed based on a specific benchmark problem for optical character recog

       unacceptable social behaviors, particularly withdrawal behavior that appears in children with autism represent a major problem hindering the process of communication with those around them and therefore the process of mergence  with them be difficult.

     The withdrawal causes a real affect deficit for children with autism limits the possibility of development of their intellectual and mental growth due to their solitude and the weakness of their focus in the acquisition of pedagogical skills and lack the necessary social skills to maintain the relations of friendship and enjoyment of them.

      withdrawal children fail to participate

Detection of early clinical keratoconus (KCN) is a challenging task, even for expert clinicians. In this study, we propose a deep learning (DL) model to address this challenge. We first used Xception and InceptionResNetV2 DL architectures to extract features from three different corneal maps collected from 1371 eyes examined in an eye clinic in Egypt. We then fused features using Xception and InceptionResNetV2 to detect subclinical forms of KCN more accurately and robustly. We obtained an area under the receiver operating characteristic curves (AUC) of 0.99 and an accuracy range of 97–100% to distinguish normal eyes from eyes with subclinical and established KCN. We further validated the model based on an independent dataset with

Background: acute abdominal pain is one of the most common presentations in surgical wards. Ultrasound has been grown in popularity as an easy, quick and non-invasive imaging the abdomen. US is very useful means of non-invasively, modality for assessment of acute abdominal pain.
Objective: Study of the most common acute none traumatic abdominal diseases in adult patients admitted to Baghdad Teaching Hospital in department of surgery .Correlate the operative findings with sonographic features as to make the initial diagnosis of the diseases included in this study. Compare the diagnostic yield of abdominal ultrasound with that of computed tomography (CT).
Methods :The present study included eighty nine consec

Back ground: Epstein- Barr virus (EBV) is a ubiquitous in that infecting more than 90% of adult population worldwide. Recently, EBV has been linked to the development of variety of human malignancies. P53 gene is mutated in more than 50% of human cancers. Cell cycle dysregulation, measured by p53 protein expression, and latent EBV infection are important in the pathogenesis of Non-Hodgkin’s lymphomas.
Objective: To analyze the distribution and impact of concordant p53 expression and latent EBV infection on a group of B & T cell types of NHL.
Materials and Methods: Forty (40) formalin-fixed, paraffin embedded tissue blocks were obtained from lymph nodes biopsies related to patients with NHL.
In addition, biopsies of twenty

ملخص البحث تناول البحث دراسة أحد أعمدة فقهاء العالم الإسلامي من حيث العموم والمذهب الحنفي بشكل خاص الإمام محمد بن الحسن الشيباني (رحمه الله تعالى) صاحب أبي حنيفة وفقيه العراق وبعض أحكامه الفقهية المتعلقة بالزروع، ولا يخفى اهتمامه الكبير وباعه الطويل في هذا الجانب، وحرص في الغالب على ذكر وجوه الترجيح، وأسباب الاختيار، واعتمد في ذلك على قواعد وضوابط تؤيد ما يرجحه أو يختاره، مع صياغة ذلك كله بأسلوب علمي رصين، ق