Abstract

 Background: Diabetes mellitus is the most common endocrine illness, affecting an increasing number of people all over the world. It is caused by a lack, or inadequate synthesis of insulin by the pancreas leading to an increase in blood glucose concentrations. Type 2 diabetes mellitus is the most strongly linked disease to obesity of all disorders. The number of obesity-related diabetes is predicted to reach 300 million by 2025. The term 'diabesity' was coined as a result of this strong link, therefore, weight loss is seen as a key therapeutic goal in the prevention and management of type 2 diabetes mellitus. Liraglutide is a glucagon-like peptide-1 (GLP-1) receptor agon

COVID-19 (Coronavirus disease-2019), commonly called Coronavirus or CoV, is a dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread zoonotic diseases around the world, which started from one of the wet markets in Wuhan city. Its symptoms are similar to those of the common flu, including cough, fever, muscle pain, shortness of breath, and fatigue. This article suggests implementing machine learning techniques (Random Forest, Logistic Regression, Naïve Bayes, Support Vector Machine) by Python to classify a series of chest X-ray images that include viral pneumonia, COVID-19, and healthy (Not infected) cases in humans. The study includes more than 1400 images that are collected from the Kaggle platform. The expe

Multi-carrier direct sequence code division multiple access (MC-DS-CDMA) has emerged recently as a promising candidate for the next generation broadband mobile networks. Multipath fading channels have a severe effect on the performance of wireless communication systems even those systems that exhibit efficient bandwidth, like orthogonal frequency division multiplexing (OFDM) and MC-DS-CDMA; there is always a need for developments in the realisation of these systems as well as efficient channel estimation and equalisation methods to enable these systems to reach their maximum performance. A novel MC-DS-CDMA transceiver based on the Radon-based OFDM, which was recently proposed as a new technique in the realisation of OFDM systems, will be us

Rhizobium bacteria was isolated from the root nodules of Medicago sativa plants and, based on morphological and some biochemical properties, it was characterized as Sinorhizobium meliloti. We studied the ability of this isolate, as well as that of Agrobacterium rhizogenes R1601, to produce the auxin  indole acetic acid (IAA). For purposes of control, both isolates, in the absence of tryptophan-L, were similarly tested. The identification of IAA was achieved by checking the colour reactions with Salkowski’s reagent. Low amounts (23, 69 and 26,77 µɡ/ml) of IAA were produced by S.meliloti and A.rhizogenes after 24 and 72 hours of incubation, respectively. S.meliloti was

The current study was conducted to determine the effect of crude oil on the pigments and protein content of Hydrilla verticillata plant from December 2018 to February 2019. Hydrilla verticillata was exposed to different concentrations of treatments (0.01,0.05,0.10,0.20) % of crude oil for 24 days. The pigments content was evaluated as total chlorophyll, a, b, carotene and protein content within plant tissues during the days (1, 8, 16 and 24).

     The results of this study showed an increment in the total chlorophyll values of plant, which is exposed to different concentrations of crude oil compared to the control treatment during the first day of the experiment and decreased compared to cont

The current study was carried out to investigate the correlation of gene expressions of ADA1 and ADA2 genes with the development of autoimmune thyroid disease (AITD) in a sample of Iraqi females. One hundred patients with AITD and 80 controls were included. Quantitative real time polymerase chain reaction (qRT–PCR) was utilized for investigation of ADA1 and ADA2 gene expression among patients and controls. The correlation of age and body mass index (BMI) with AITD occurrence comparing with controls was studied. Based on the results of this study, there is high expression level of ADA1 and ADA2 genes in patients compared with healthy controls; also, the gene expression fold (2-ΔΔCT) of ADA1 and ADA2 among AITD patients was recorded and a

Atherosclerosis is the most common causes of vascular diseases and it is associated with a restriction in the lumen of blood vessels. So; the study of blood flow in arteries is very important to understand the relation between hemodynamic characteristics of blood flow and the occurrence of atherosclerosis.

looking for the physical factors and correlations that explain the phenomena of existence the atherosclerosis disease in the proximal site of LAD artery in some people rather than others is achieved in this study by analysis data from coronary angiography as well as estimating the blood velocity from coronary angiography scans without having a required data on velocity by using some mathematical equations and physical laws. Fif