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 . Al - Kindy Col Med J 2012 ; Vol .8 No. (2) p: 132
Results : Fourteen out of one hundred twenty (11.66 % ) diabetic patients had expressed positivity to anti-tissue 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.
The aim of the study is to identify the stage of both decentralized performance and organizational confidence with through those responsible the decentralized work of officials in organizing and managing local championships affiliated with the Iraqi Athletics Federation from their perspective. The study employed a descriptive approach using a correlational method on a sample of those managing local championships of the Iraqi Athletics Federation, including members , coaches, referees, and the president of the central administrative board, as well as the members and presidents of the subfederations for the sports (2020/2021).
Voice Activity Detection (VAD) is considered as an important pre-processing step in speech processing systems such as speech enhancement, speech recognition, gender and age identification. VAD helps in reducing the time required to process speech data and to improve final system accuracy by focusing the work on the voiced part of the speech. An automatic technique for VAD using Fuzzy-Neuro technique (FN-AVAD) is presented in this paper. The aim of this work is to alleviate the problem of choosing the best threshold value in traditional VAD methods and achieves automaticity by combining fuzzy clustering and machine learning techniques. Four features are extracted from each speech segment, which are short term energy, zero-crossing rate, auto
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The seizure epilepsy is risky because it happens randomly and leads to death in some cases. The standard epileptic seizures monitoring system involves video/EEG (electro-encephalography), which bothers the patient, as EEG electrodes are attached to the patient’s head.
Seriously, helping or alerting the patient before the seizure is one of the issue that attracts the researchers and designers attention. So that there are spectrums of portable seizure detection systems available in markets which are based on non-EEG signal.
The aim of this article is to provide a literature survey for the latest articles that cover many issues in the field of designing portable real-time seizure detection that includes the use of multiple
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Pavement crack and pothole identification are important tasks in transportation maintenance and road safety. This study offers a novel technique for automatic asphalt pavement crack and pothole detection which is based on image processing. Different types of cracks (transverse, longitudinal, alligator-type, and potholes) can be identified with such techniques. The goal of this research is to evaluate road surface damage by extracting cracks and potholes, categorizing them from images and videos, and comparing the manual and the automated methods. The proposed method was tested on 50 images. The results obtained from image processing showed that the proposed method can detect cracks and potholes and identify their severity levels wit
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Plagiarism is becoming more of a problem in academics. It’s made worse by the ease with which a wide range of resources can be found on the internet, as well as the ease with which they can be copied and pasted. It is academic theft since the perpetrator has ”taken” and presented the work of others as his or her own. Manual detection of plagiarism by a human being is difficult, imprecise, and time-consuming because it is difficult for anyone to compare their work to current data. Plagiarism is a big problem in higher education, and it can happen on any topic. Plagiarism detection has been studied in many scientific articles, and methods for recognition have been created utilizing the Plagiarism analysis, Authorship identification, and
... Show MoreHM Al-Dabbas, RA Azeez, AE Ali, Iraqi Journal of Science, 2023
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