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The Correlation Between Hyperglycemia and Rheumatoid Factor in Type 2 Diabetic Patients in Al- Risafa Area, Baghdad
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Diabetes mellitus type 2 (T2DM) formerly called non-insulin dependent diabetes mellitus (NIDDM) or adult-onset diabetes is a common disease. Rheumatoid factor is a well-established test used in the diagnosis and follows the prognosis of rheumatoid arthritis (RA). Rheumatoid factor is sometimes found in serum of patients with other diseases including diabetes mellitus (DM), due to the presence of pro-inflammatory cytokines such as TNF- α which play an important role in chronic inflammatory and autoimmune diseases like rheumatoid arthritis (RA). The aim of the study is to investigate the associations between type 2 diabetes mellitus (T2DM) and rheumatoid arthritis (RA) in scope of rheumatoid factor (RF), hyperglycemia and body mass index (BMI), in patients with T2DM lived in Al-Risafa area -Baghdad. One hundred twenty five (125) type 2 diabetes mellitus (T2DM) patients were selected from the out patients department of the Specialized Center for Endocrinology and Diabetes, Baghdad; in addition to (70) apparently healthy non diabetic, non arthritic subjects as control, during the period from Sep. - Dec./2010. The ages of both patients and control subjects were within (35-75) years. This study focus to search for the correlation between T2DM and RF "qualitative and quantitative" in relation to body mass index (BMI) and gender. Out of 125 DM-patients (73 female and 52 male), 44 (35.2 %) showed positive RF when compared with healthy controls (N=3, 4.3%). [P value =0.01 is significant] with female dominance (N=28, 63.6%) in compared to males (N=16, 36.4 %), when these diabetics with RF positive were titered for RF (8, 16, 32 and 64 IU/ml), the following results were obtained. The highest percentage of titer observed with 34.1% in those with RF titer 64 IU/ ml [P value = 0.01] when compared with healthy control.  18.2 % had RF titer of 8 IU/ ml, 20.4 % had RF titer of 16 IU/ ml, 27.3 % had RF titer of 32 IU/ ml and 34.1 % had RF titer of 64 IU/ ml. The highest percentage among the overweight, DM patients (38.9 %) have a mean titer 64 IU/ml, a percentage decrease respectively as below: 38.9 % had RF titer of 64 IU/ ml, 27.8% had RF titer of 32 IU/ ml, 16.6 % had RF titer 16 IU / ml and 16.6% had RF titer 8 IU/ ml. The highest number and percentage of DM with RF positive (N=17, 38.6 %) were located among higher age (50-59), (60-69) & (70 -79) year groups (N=17, 38.6%), (N=13, 29.5%) & (N=8, 18.2%) respectively, [P- Value < 0.01] when compared to the corresponding controls. The effect of fasting plasma glucose level of type 2 DM in patients who have RF positive titer, is found that > 7.2 mmol/l glucose in plasma contribute the highest titer (N=28, 63.6 %), in comparison with group of plasma glucose levels < 7.2 mmol/l patients (N=16, 36.4%). with a highly significant difference, P-value = 0.006.Smokers diabetic patients with RF positive (N=27, 61.4%) dominate over non- smokers with RF positive (N=17, 38.6%). The results of this study indicate that there is a reasonable increased frequency of positive rheumatoid factor (RF) in type 2 diabetic patients. Poor glycemic control is associated with higher RF titer in positive cases. The titer of T2DM smoker patients is associated with positive RF values that exceed the titer of the non- smoker RF positive patients. Thus, smoking might not be correlated significantly to DM, but may contribute to its complications.

Key words: T2DM, RF, BMI, Smoking.

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Publication Date
Fri Apr 30 2021
Journal Name
Eastern-european Journal Of Enterprise Technologies
Implementation of artificial neural network to achieve speed control and power saving of a belt conveyor system
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According to the importance of the conveyor systems in various industrial and service lines, it is very desirable to make these systems as efficient as possible in their work. In this paper, the speed of a conveyor belt (which is in our study a part of an integrated training robotic system) is controlled using one of the artificial intelligence methods, which is the Artificial Neural Network (ANN). A visions sensor will be responsible for gathering information about the status of the conveyor belt and parts over it, where, according to this information, an intelligent decision about the belt speed will be taken by the ANN controller. ANN will control the alteration in speed in a way that gives the optimized energy efficiency through

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Publication Date
Wed May 01 2024
Journal Name
Journal Of Water Process Engineering
Rational assembly of Z-scheme FeTiO3/Fe-doped g-C3N4 photocatalytic heterojunctions: Photodegradation behavior and mechanism insight
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Expanded use of antibiotics may increase the ability of pathogenic bacteria to develop antimicrobial resistance. Greater attention must be paid to applying more sustainable techniques for treating wastewater contaminated with antibiotics. Semiconductor photocatalytic processes have proven to be the most effective methods for the degradation of antibiotics. Thus, constructing durable and highly active photocatalytic hybrid materials for the photodegradation of antibiotic pollutants is challenging. Herein, FeTiO3/Fe-doped g-C3N4 (FTO/FCN) heterojunctions were designed with different FTO to FCN ratios by matching the energy level of semiconductors, thereby developing effective direct Z-type heterojunctions. The photodegradation behaviors of th

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Publication Date
Mon May 30 2022
Journal Name
Egyptian Journal Of Chemistry
Design ,Synthesis, Insilco Study and Biological Evaluation of New Coumarin-Oxadiazole Derivatives as Potent Histone Deacetylase Inhibitors
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Publication Date
Mon Jan 01 2024
Journal Name
Ieee Access
Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals
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Publication Date
Thu Mar 30 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Synthesis and Preliminary Pharmacological Evaluation of Aminobenzensulfonamides Derivatives of Mefenamic Acid as a Potential Anti-inflammatory Agents
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A group of amino derivatives [4-aminobenzenesulfonamide,4-amino-N¹ methylbenzenesulfonamide, or N¹-(4-aminophenylsulfonyl)acetamide] bound to carboxyl group of mefenamic acid a well known nonsteroidal anti-inflammatory drugs (NSAIDs) were designed and synthesized for evaluation as a potential anti-inflammatory agent.  In vivo acute anti-inflammatory activity of the final compounds (9, 10 and 11) was evaluated in rat using egg-white induced edema model of inflammation in a dose equivalent to (7.5mg/Kg) of mefenamic acid. All tested compounds produced a significant reduction in paw edema with respect to the effect of propylene glycol 50% v/v (control group). Moreover, the 4-amino-N-methylbenzenesulfonamide derivative (c

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Publication Date
Thu Dec 01 2022
Journal Name
Microbiology And Biotechnology Letters
Production and Identification of Secondary Metabolite Gliotoxin-Like Substance Using Clinical Isolates of <i>Candida</i> spp.
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Publication Date
Sun May 10 2020
Journal Name
Baghdad Science Journal
Characterization and Biological Activity of Some New Derivatives Derived from Sulfamethoxazole Compound: new derivatives from sulfamethoxazole drug.
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 A new series of Sulfamethoxazole derivatives was prepared and examined for antifibrinolytic and antimicrobial activities. Sulfamethoxazole derivatives bear heterocyclic moieties such as 1,3,4-thiadiazine {3},  pyrazolidine-3,5-diol {4} 6-hydroxy-1,3,4-thiadiazinane-2-thione {5} and [(3-methyl-5-oxo-4,5-dihydro-1H-pyrazol-4-yl)diazenyl] {8}. Their structures were elucidated by spectral methods (FT-IR, H1-NMR). Physical properties are also determined for all compound derivatives.  Recently prepared compounds were tested for their antimicrobial activity in the laboratory. Each screened compound showed good tendency to moderate antimicrobial activity.

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Publication Date
Thu Jun 29 2023
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Emulsion Liquid Membrane for Pesticides Removal from Aqueous Solution: Emulsion Stability, Extraction Efficiency and Mass Transfer Studies
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The current study investigated the stability and the extraction efficiency of emulsion liquid membrane (ELM) for Abamectin pesticide removal from aqueous solution. The stability was investigated in terms of droplet emulsion size distribution and emulsion breakage percent. The proposed ELM included a mixture of corn oil and kerosene (1:1) as a diluent, Span 80 (sorbitan monooleate) as a surfactant and hydrochloric acid (HCl) as a stripping agent without utilizing a carrier agent. Parameters such as homogenizer speed, surfactant concentration, emulsification time and internal to organic volume ratio (I/O) were evaluated. Results show that the lower droplet size of 0.9 µm and higher stable emulsion in terms of breakage percent of 1.12 % were

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Publication Date
Sun Jun 01 2025
Journal Name
Chemical Engineering And Processing - Process Intensification
Wastewater treatment through a hybrid electrocoagulation and electro-Fenton process with a porous graphite air-diffusion cathode
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Publication Date
Wed Mar 01 2023
Journal Name
Iaes International Journal Of Artificial Intelligence (ij-ai)
Design and implementation monitoring robotic system based on you only look once model using deep learning technique
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<span lang="EN-US">The need for robotics systems has become an urgent necessity in various fields, especially in video surveillance and live broadcasting systems. The main goal of this work is to design and implement a rover robotic monitoring system based on raspberry pi 4 model B to control this overall system and display a live video by using a webcam (USB camera) as well as using you only look once algorithm-version five (YOLOv5) to detect, recognize and display objects in real-time. This deep learning algorithm is highly accurate and fast and is implemented by Python, OpenCV, PyTorch codes and the Context Object Detection Task (COCO) 2020 dataset. This robot can move in all directions and in different places especially in

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