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Exploitation of Absolute qPCR to Estimate Lactobacillus and Bifidobacterium Count in Human Gut as Indicator of Diabetic Mellitus Complication
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     Diabetes mellitus is a form of metabolic disorder where patients are incapable to organize glucose metabolism. The most common types are Type I and Type II, constituting about 10% and 90% of cases, respectively. The cause of type I diabetes, which usually spreads in children and adolescents, is the disability of the endocrine system to produce insulin. On the other hand, The most common type of diabetes,  type II diabetes, is often presented in adults. It is usually presented as a collection of insulin deficiency and insulin resistance. This work was done to estimate the count of microbiota in diabetics to find an appraoch for detection and follow-up treatment. The count of two types of bacteria Lactobacillus and Bifidobacterium was determined using qPCR based on the standard curve that was created from the serial decimal dilution of samples containing an unknown number of bacteria taken from probiotic capsules. The main results of this study show that the Lactobacillus count was affected by diabetes types, where a decrease was observed in the mean value in the case of diabetes type I group (32978.13) compared with the control group (610680.26). The mean value in diabetes type II was close to that of the control group (682199.27). While, the count of the Bifidobacterium showed a significant reduction in the mean value in both type I and type II diabetes groups (7521.70, 51880.82, respectively), compared with the control group (63405999.00).

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Publication Date
Sat Feb 01 2025
Journal Name
Advanced Journal Of Chemistry, Section A
Synthesis and Characterization of Heterocyclic Derivatives to Evaluate their Efficiency as Corrosion Inhibitors for Carbon Steel in Saline Medium
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This work includes preparation of Az, Qz, and Tz derivatives from the reaction of Schiff base (Sb) derivative with anthranilic acid, chloroacetyl chloride, and sodium azide, as well as, the characterization via FT-IR, 1H-NMR, and 13CNMR. The anticorrosion inhibition of these compounds was studied and the measurements of carbon steel (CS) corrosion in sodium chloride solution 3.5% (blank) and inhibitor in solutions were calculated at a temperature range of 293-323 K by the technique of electrochemical polarization. In addition, some thermodynamic and kinetic activation parameters for inhibitor and blank solutions (Ea⋇, ΔH⋇, ΔS⋇, and ΔG⋇) were determined. The results showed high inhibition efficacy for all the prepared compounds,

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Publication Date
Sun Nov 01 2020
Journal Name
Journal Of Materials Research And Technology
Immobilization of l-asparaginase on gold nanoparticles for novel drug delivery approach as anti-cancer agent against human breast carcinoma cells
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Publication Date
Wed May 10 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Estimate The Mean of Normal Distribution Via Preliminary Test Shrinkage Technique
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 This paper is concerned with preliminary test single stage shrinkage estimators for the mean (q) of normal distribution with known variance s2 when a prior estimate (q0) of the actule value (q) is available, using specifying shrinkage weight factor y( ) as well as pre-test region (R).         Expressions for the Bias, Mean Squared Error [MSE( )] and Relative Efficiency [R.Eff.( )] of proposed estimators are derived. Numerical results and conclusions are drawn about selection different constants including in these expressions. Comparisons between suggested estimators with respect to usual estimators in the sense of Relative Efficiency are given. Furthermore, comparisons with the earlier existi

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Publication Date
Mon Jan 28 2019
Journal Name
Iraqi Journal Of Science
Estimate the Two Parameters of Gamma Distribution Under Entropy Loss Function
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In this paper, Bayes estimators for the shape and scale parameters of Gamma distribution under the Entropy loss function have been obtained, assuming Gamma and Exponential priors for the shape and scale parameters respectively. Moment, Maximum likelihood estimators and Lindley’s approximation have been used effectively in Bayesian estimation. Based on Monte Carlo simulation method, those estimators are compared depending on the mean squared errors (MSE’s). The results show that, the performance of the Bayes estimator under Entropy loss function is better than other estimates in all cases.   

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Publication Date
Sat Jul 27 2024
Journal Name
International Journal Of Medical Science And Dental Health
The relationship between Fatty Acids and Type II Diabetes Mellitus
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We can summarize the main risk factors for type 2 diabetes mellitus (T2DM) by looking at our nutrition, age, and lifestyle. β-cell dysfunction and insulin resistance (IR) are outcomes of the pathophysiology of type 2 diabetes. As an indirect result of IR on important metabolic enzymes, lipid and lipoprotein abnormalities are also a factor in T2DM patients. Recent research has indicated that lipid fluctuation may be the cause of poor glucose metabolism as well as one of its effects. Fatty acids (FAs) affect cell membrane fluidity and permeability, insulin receptor binding and signaling, and the translocation of glucose transporters. Therefore, it is suggested that FAs might play a crucial part in the emergence of IR and T2DM. The cu

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Publication Date
Mon Mar 13 2017
Journal Name
Journal Of Baghdad College Of Dentistry
Periodontal Health Status and Assessment of Osteocalcin levels in Saliva of Diabetic Patients and Systemically Healthy Persons (Comparative study)
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ABSTRACT Background: Diabetes and periodontitis are complicated prolonged disorders through a recognized two-way association. There is elongated-conventional mark that hyperglycaemia in diabetes is affected on immune-inflammatory response and disturb the action of osteoclast and in balance bone turnover, which might rise the person vulnerability to the progress of prolonged periodontitis. Osteocalcin is one of the greatest plentiful matrix proteins originate in bones and produced absolutely there. Small osteocalcin crumbles are noticed in regions of bone remodeling and are in fact degradation products of the bone matrix, that is released outside cells into the Gingival Crevicular Fluid (GCF) and saliva after destruction of periodontal tissu

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Publication Date
Wed Oct 01 2014
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Immunohistochemical Expression of Estrogen and Progesterone Receptors in Human colorectal Carcinoma (Clinicopathological study)
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Background: Colorectal adenocarcinoma is the most common type of gastrointestinal cancer, with about 150,000 cases each year in the United States and about 56,730 deaths from colorectal cancer risk. In Iraq and according to the Iraqi cancer registry (ICR) reports, the incidence of colorectal carcinoma was 4.55% of whole body malignancy, & it is the seventh cause of death from cancer (ICR 2005). In males, it’s the 7th common cancer while in females it’s the 4th most common cancer. The estrogen and progesterone receptors belong to a super- family of nuclear hormone receptors. These receptor proteins function as transcription factors when they are bound to their respective ligands, these receptors shares a common st

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Publication Date
Wed Dec 19 2018
Journal Name
Indian Journal Of Natural Sciences
Genotyping of Cryptosporidium Spp. Isolated from Human and Cattle in Baghdad Province, Iraq
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Cryptosporidiosis is an intestinal protozoan parasitic disease that infects human and animals, caused by apicomplexan parasite belong to the genusof Cryptosporidium. The current study was done to record the infection rate of cryptosporidiosis in human and cattle, and genotype the clinical isolates of Cryptosporidium in Baghdad Province. A total of 265 stool sample were collected (150 from human and 115 from cattle) during the period from December 2016 to the May 2017. Cryptosporidial infection was detected using modified acid fast stain. DNA of the parasite was extracted from oocysts of positive fecal samples and nested PCR method was used for partial 60 kDa glycoprotein (gp60) gene amplification then sequence analysis for selected samples.

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Publication Date
Fri Dec 27 2024
Journal Name
International Journal Of Data And Network Science
Multi-objective of wind-driven optimization as feature selection and clustering to enhance text clustering
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Text Clustering consists of grouping objects of similar categories. The initial centroids influence operation of the system with the potential to become trapped in local optima. The second issue pertains to the impact of a huge number of features on the determination of optimal initial centroids. The problem of dimensionality may be reduced by feature selection. Therefore, Wind Driven Optimization (WDO) was employed as Feature Selection to reduce the unimportant words from the text. In addition, the current study has integrated a novel clustering optimization technique called the WDO (Wasp Swarm Optimization) to effectively determine the most suitable initial centroids. The result showed the new meta-heuristic which is WDO was employed as t

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Publication Date
Thu Jun 30 2016
Journal Name
Al-kindy College Medical Journal
Correlation of blood, salivary glucose levels and bloo HbA1c% in healthy and previously diagnosed Diabetes Mellitus Type 2 in a sec ion of patients of Baghdad hospital, Iraq
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Background: Diabetes mellitus is a metabolic disorder affecting people worldwide, which require constant monitoring of their glucose levels. Commonly employed procedures include collection of blood or urine samples causing discomfort to the patients. Necessity arises to find alternative non invasive technique is required to monitor glucose levels. Saliva is one of most abundant secretions in the human body and its collection is easy, noninvasive and painless technique. Objective: The aim of this study was to determine the efficacy of saliva as a diagnostic tool by study the correlation between blood and salivary glucose levels and glycosylated hemoglobin (HbA1c%) in diabetes and non diabetes, and the comparison of salivary glucose level

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