Background: Diabetes mellitus (DM) accompanied with an increase in the death rate and represents a significant public health challenge. It is the cause of other disorders and infection in many body organs. Hence, it is important to study the possible changes in the immunological components in the serum of diabetic patients which are not well understood. In this work, serum C3, C4, IgA, IgG, and IgM were estimated in the patients with insulin dependent diabetes mellitus (IDDM) and compared with healthy persons. Patients and Methods: Twenty-one insulin dependent diabetic patients in addition to twenty-four healthy persons as control group were participated in this study. Serum C3, C4, IgA, IgG, and IgM were measured by using immunodiffusio

Background:

pancreatic islets in which a process of programmed cell death (apoptosis) is elicited in the β-cells by interaction of activated T-cells and proinflammatory cytokines in the immune infiltrate. Interleukin-6 (IL-6) is a pleiotropic cytokine with a key impact on both immunoregulation and nonimmune events in many cell types .
Objective: to assess the level of serum IL-6 as an inflammatory marker in type 1 diabetic children, with correlation to FBG and HbA1c.
Subjects and methods: 45 type 1 diabetic child (20 males and 25 females), mean age 10.9± 3.4 years who attended the National Diabetic Center, Al-Mustansiria university were included in this study. 45 apparently healthy controls matched for age and sex were participated in this s

Background: The association of celiac disease and type 1 diabetes mellitus is known worldwide due to shared auto immunological background, since celiac disease could present in diabetic patients with non specific symptoms or asymptomatically, periodic serological screening is necessary for early diagnosis.
Objectives: To estimate the prevalence of celiac disease in children with type 1 diabetes.
Patients and methods: A total of 152 children with type 1 diabetes attending the Children Welfare Teaching Hospital; 67 boys, 85 girls with mean age of 10.3 year± 3.7 and mean duration of diabetes 3.5years ±2.5, from May 2010 -May 2011 were screened for celiac disease using immunoglobulin A and G tissue trans

Background: Diabetes mellitus (DM) is a metabolic and vascular illness associated with two to four times coronary artery disease (CAD) events and mortality which correlate well with fasting, postprandial plasma glucose and HbA1c level. Other factors such as aging, gender, smoking, dyslipidaemia and hypertension also play an important role in diabetic micro- and macro-vascular complications. Type 2 DM is reported now to be CAD equivalent.
Patients and Methods: A cross sectional study of 118 patients including 90 males and 28 females being 63 diabetics and 55 non-diabetics over the period from March-November 2007 in Iraqi center for cardiac diseases who were underwent coronary angiographic study.
Results

     The diseases presence in various species of fruits are the crucial parameter of economic composition and degradation of the cultivation industry around the world. The proposed pear fruit disease identification neural network (PFDINN) frame-work to identify three types of pear diseases was presented in this work. The major phases of the presented frame-work were as the following: (1) the infected area in the pear fruit was detected by using the algorithm of K-means clustering. (2) hybrid statistical features were computed over the segmented pear image and combined to form one descriptor. (3) Feed forward neural network (FFNN), which depends on three learning algorithms of back propagation (BP) training, namely Sca

Background: Type 2 diabetes mellitus (T2DM) is considered a global disease as it affects over 150 million people worldwide, a number that is supposed to be doubled by 2025. High glucose levels, in vitro, appear to raise the extent of LDL oxidation, and glycated LDL is more prone to oxidative modification.Objective: To investigate the relationship between serum level of vitamin E and lipid profile in patients with type II DM.Methods: This study involved 28 patients suffering from type II DM diagnosed 1-4 years ago and with age ranged from 17 -60 years old, with different residence around Basra ; In addition to 56 apparently healthy persons matched in age and sex to the patients as a control group. The medical histories were taken and Gene

Boltzmann mach ine neural network bas been used to recognize the Arabic speech.  Fast Fourier transl(>lmation algorithm has been used t() extract speciral 'features from an a caustic signal .

The  spectral  feature size is reduced by series of operations in

order to make it salable as input for a neural network which is used as a recogni zer by Boltzmann Machine Neural  network which has been used as a recognizer for phonemes . A training set consist of a number of Arabic phoneme repesentations, is used to train lhe neuntl network.

The neural network recognized Arabic. After Boltzmann Machine Neura l    network   training  the  system   with 

Background: Diabetes mellitus (DM) causes damaging effects on the cardiac function; these effects can be observed on the diastolic performance of the heart reflected on the change in transmitral blood velocity, the cardiac wall and septum thickness.
Objectives: The present study was to assess the diastolic and systolic cardiac muscle performance for patients with type 2 diabetes mellitus compared with control individuals and to evaluate the index of myocardial performance.
Patients and Methods: The study involved 97 patients (35 male and 62 female of average age of 56.2 ±10.755) of type 2 diabetes mellitus (DM), they were investigated for their left ventricle performance and compared with 51 normal in

Background: Cardiovascular disease (CVD) is an important complication of type 2 diabetes mellitus (T2DM). Oxidative stress plays a major role in the development of CVD. Saliva has a diagnostic properties aiding in the detection of systemic diseases. This study aimed to assess the association between salivary oxidative stress markers and the risk of vascular disease (VD) in T2DM patients. Materials and Methods: One hundred T2DM patients and fifty apparently healthy males were enrolled in this study. Saliva sample was collected for assessment of oxidative stress markers including: lipid peroxidation plasma thiobarbituric acid-reactive substances (TBARS), uric acid (UA) and total antioxidant capacity (TAC) levels. Arterial stiffness index (ASI