Objective: Detection the presumptive prevalence of
silent celiac disease in patients with type 1 diabetes
mellitus with determination of which gender more
likely to be affected.
Methods: One hundred twenty asymptomatic patients
[75 male , 45 female] with type 1 diabetes mellitus
with mean age ± SD of 11.25 ± 2.85 year where
included in the study . All subjects were serologically
screened for the presence of anti-tissue transglutaminase
IgA antibodies (anti-tTG antibodies) by Enzyme-
Linked Immunosorbent Assay (ELISA) & total IgA
was also measured for all using radial
immunodiffusion plate . Anti-tissue transglutaminase
IgG was selectively done for patients who were
expressing negative anti-tissue transglutaminase IgA
with low total IgA levels & results were compared
to that obtained from healthy 60 persons with mean
age ± SD for them was 15.25 ± 3.85 year .
Results : Fourteen out of one hundred twenty (11.66
% ) diabetic patients had expressed positivity to antitissue
transglutaminase IgA compared to 1/60 ( 1.66
%) of non diabetic patients who had expressed such
positivity , P value equals to 0.0221 & it is
considered to be statistically significant. Three out of
one hundred twenty (2.5 % ) diabetic patients had
expressed total IgA deficiency whereas all of non
diabetic patients were expressing total IgA within
the normal range , P value equals to 0.55 & it is
considered to be not statistically significant. All of
three diabetic patients with total IgA deficiency were
not showing positivity to anti-tissue transglutaminase
IgG . Six mals & Eight female of those with type 1
diabetes mellitus had expressed positivity to anti-tissue
transglutaminase IgA , P value equals to 0.1426 &
it is considered to be not statistically significant .
Conclusion : There is an increased prevalence of IgA antitissue transglutaminase antibodies ( 11.66 % ) in children & adolescent with type 1 diabetes mellitus in comparison with control group.
This study investigates the challenges encountered by first-grade intermediate students in learning the Arabic language. It aims to identify specific obstacles that hinder language acquisition and proficiency among this demographic. Through qualitative and quantitative methods, including surveys and interviews with students, teachers, and parents, the research highlights key issues such as limited vocabulary, difficulties in grammar, lack of engagement with the material, and inadequate teaching resources. The findings reveal a complex interplay between cognitive, social, and educational factors that contribute to these challenges. The study underscores the need for targeted interventions, such as enhanced pedagogical strategies and improved
... Show MoreSupport vector machines (SVMs) are supervised learning models that analyze data for classification or regression. For classification, SVM is widely used by selecting an optimal hyperplane that separates two classes. SVM has very good accuracy and extremally robust comparing with some other classification methods such as logistics linear regression, random forest, k-nearest neighbor and naïve model. However, working with large datasets can cause many problems such as time-consuming and inefficient results. In this paper, the SVM has been modified by using a stochastic Gradient descent process. The modified method, stochastic gradient descent SVM (SGD-SVM), checked by using two simulation datasets. Since the classification of different ca
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