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Detection of anti-Helicobacter pylori in patients with Multiple Sclerosis
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To determine the relationship between Helicobacter pylori infection and Multiple Sclerosis (MS) disorder, 20 patients with MS aged (25-60) years have been investigated from the period of 2016/12/1 to 2017/3/1 and compared to 15 apparently healthy individuals. All study groups were carried out to measure anti H.pylori IgA and H.pylori IgG antibodies by enzyme linked immunosorbent assay (ELISA) technique. There was a significant elevation (p<0.05) in the concentration of anti H.pylori IgG and IgA antibodies (Abs) compared to control group, and there was no significant difference (p>0.05) in the concentration of IgA and IgG (Abs) of H.pylori according to gender, and there was no significant difference (p>0.05) in the concentration of IgA and IgG (Abs) of H.pylori according to gender and age. This result indicates that infection with H.pylori may play a role in the pathogenesis of MS.

Publication Date
Fri Jan 19 2024
Journal Name
Baghdad Science Journal
GRHPR gene variations in Iraqi patients infected with calcium oxalate kidney stones
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      The alterations in glyoxylate reductase and hydroxy-pyruvate reductase concentrations in the sera and the genetic alterations associated with calcium oxalate kidney stones in Iraqi patients were not studied previously so this study aimed to focus on these points. This study included 80 subjects; they were 50 patients with calcium oxalate stones compared to 30 apparently healthy controls. Biochemical investigations for kidney functions (creatinine, urea, and uric acid), were performed on the sera of both groups. Also, complete blood count, random blood sugar, and blood group tests. Furthermore, urine had been collected for General Urine Examination to visualize oxalate crystals in the urine of the patient. Also, the GRHPR

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Publication Date
Sun Jan 01 2023
Journal Name
Česká A Slovenská Farmacie
Hyperferritinemia as a factor associated with poor prognosis in COVID-19 patients
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Worldwide, hundreds of millions of people have been infected with COVID-19 since December 2019; however, about 20% or less developed severe symptoms. The main aim of the current study was to  assess  the  relationship  between  the  severity of Covid-19 and different clinical and laboratory parameters. A total number of 466 Arabs have willingly joined this prospective cohort. Out of the total number, 297 subjects (63.7%) had negative COVID-19 tests, and thus, they were recruited as controls, while 169 subjects (36.3%) who tested positive for COVID-19 were enrolled as cases. Out of the total number of COVID-19 patients, 127 (75.15%) presented with mild symptoms, and 42 (24.85%) had severe symptoms. The age range for the partic

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Publication Date
Tue Jun 17 2025
Journal Name
Baghdad Science Journal
ATPase level in Iraqi Diabetic Patients with and without Diabetic Kidney Disease
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Publication Date
Sat Dec 01 2018
Journal Name
Annals Of Medicine And Surgery
Plasma d-dimer level correlated with advanced breast carcinoma in female patients
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Publication Date
Tue Jan 21 2025
Journal Name
Procedia Environmental Science, Engineering And Management
Optimizing Radiofrequency Parameters for Effective Lesion Formation in Patients with Supraventricular Tachycardia
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Radiofrequency catheter ablation is now widely recognized as a primary treatment for a range of arrhythmias and serves as the first-line therapy fo...

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Publication Date
Mon Apr 20 2026
Journal Name
Global Journal Of Health Science
Serum Vitamin and Mineral Profiles in Patients with Hypothyroidism-Associated Hair Loss
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Background: Hair loss is a frequent and distressing manifestation among patients with hypothyroidism. In addition to thyroid hormone imbalance, deficiencies in vitamins and minerals may contribute to impaired hair follicle function. Objective: This study aimed to assess serum vitamin and mineral profiles in patients with hypothyroidism-associated hair loss and to explore their relationship with thyroid hormone status. Methods: the study was conducted on a total of 90 participants, including 65 patients diagnosed with hypothyroidism-associated hair loss, 25 control - and sex-matched apparently healthy control subjects, groups aged 30 and over. Serum levels of vitamin D3, vitamin B12, zinc, iron, ferritin, calcium, magnesium, th

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Publication Date
Tue Sep 01 2026
Journal Name
International Journal Of Advances In Applied Sciences
COVID-19 infection detection using convolutional self-attention network with voting classifier
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Early and accurate detection of COVID-19 from chest computed tomography (CT) scans are becoming essential for effective clinical decision-making and disease control. This study is proposing a robust deep learning framework that integrates a convolutional self-attention network (CSAN), gamma correction for image enhancement, and a voting-based ensemble classifier to improving diagnostic performance. The model is being evaluated on a dataset of 2,271 CT images and is achieving an accuracy of 95.12%, sensitivity of 97.25%, specificity of 98.11%, F1-score of 96.46%, and area under the curve (AUC) of 0.977. Experimental results are demonstrating that the proposed method significantly surpasses baseline models, including standalone CSAN,

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Publication Date
Tue Jan 18 2022
Journal Name
Photonic Sensors
Arsenic Detection Using Surface Plasmon Resonance Sensor With Hydrous Ferric Oxide Layer
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Abstract<p>The lethality of inorganic arsenic (As) and the threat it poses have made the development of efficient As detection systems a vital necessity. This research work demonstrates a sensing layer made of hydrous ferric oxide (Fe<sub>2</sub>H<sub>2</sub>O<sub>4</sub>) to detect As(III) and As(V) ions in a surface plasmon resonance system. The sensor conceptualizes on the strength of Fe<sub>2</sub>H<sub>2</sub>O<sub>4</sub> to absorb As ions and the interaction of plasmon resonance towards the changes occurring on the sensing layer. Detection sensitivity values for As(III) and As(V) were 1.083 °·ppb<sup>−1</sup> and 0.922 °·ppb<jats></jats></p> ... Show More
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Publication Date
Sat Aug 31 2024
Journal Name
International Journal Of Intelligent Engineering And Systems
Credit Card Fraud Detection Using an Autoencoder Model with New Loss Function
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Publication Date
Mon Jul 06 2026
Journal Name
Iraqi Journal For Computer Science And Mathematics
Enhanced Intrusion Detection Using Recurrent Neural Networks with Amino Acid Codon Features
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Intrusion Detection Systems (IDS) is the main defense mechanism deployed by the current networks to prevent cyber threats. Recurrent Neural Network (RNN) are also a novel IDS structure that replaces the conventional training and testing mechanism. The strategy encodes network traffic data as biological sequences using amino acid codons in such a fashion that the RNN is capable of effectively analyzing temporal and sequence data patterns. RNN architecture design adopts embedding layers to handle codon representations and Long Short-Term Memory (LSTM) layers to perform sequential data learning, which is followed by a fully connected network to perform classification functions, which preserve high feature extraction and classification

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