Back ground: Celiac disease (CD) is an immune–mediated enteropathy induced by gluten with broad spectrum of presentation, many patients with atypical symptoms or clinically silent remain undiagnosed, and are at risk of long-term complications.
Objective: The aim of the present study is to determine the of prevalence celiac disease in children with short stature.
Patient and Methods: In this prospective study, 307 children 181(58.9%)males and 126(41.1%) females ,with ages ranging from 3 to 17.5years ( mean 12.2 ±3.4) with short statures (height below 3rd percentile adjusted for age and sex) attending the consultation room of endocrinology/ Welfare Teaching Hospital/medical city- Baghdad , were enrolled in this study from the firs

Background: Congenital adrenal hyperplasia is a family of autosomal recessive disorders of cortisol biosynthesis. Depending on the enzymatic step that is deficient, there may be signs, symptoms, and laboratory findings of mineralocorticoid deficiency or excess; incomplete virilization or premature puberty in affected males; and virilization or sexual infantilism in affected females. The most frequent is 21-hydroxylase enzyme deficiency, accounting for more than 90% of cases.
Objectives: to review cases of congenital adrenal hyperplasia registered in children welfare teaching hospital- medical city- Baghdad.
Patients and method: This study included all patients who were presented and registered in the e

Out of 180 children, 60 (33.3%) have Amoebiasis infection as diagnosed by direct wet smear and Saturated Salt Solution (SSS). SSS method is more significant (P=0.001) in diagnosis of the disease. Number of children infected with Amoebiasis infection is higher in infants aged 1-6 months, but without any significant difference to ages 6-12 or 12-18 months. In contrast, infants aged 18-24 months are significantly differant (P=0.01) as the infection rate is 16.6%. Gender also is seen to be reduced in significance (P= 0.001) for females aged 18-24 months. Blood profile of the involved infants has shown a significant variation (P=0. 01) for all blood profile parameters (RBC (P=0.05), WBC (P=0.001), Lymphocytes (P=0.05), Granulated WBC (P=0.05),

A hand gesture recognition system provides a robust and innovative solution to nonverbal communication through human–computer interaction. Deep learning models have excellent potential for usage in recognition applications. To overcome related issues, most previous studies have proposed new model architectures or have fine-tuned pre-trained models. Furthermore, these studies relied on one standard dataset for both training and testing. Thus, the accuracy of these studies is reasonable. Unlike these works, the current study investigates two deep learning models with intermediate layers to recognize static hand gesture images. Both models were tested on different datasets, adjusted to suit the dataset, and then trained under different m