The level of thyroid autoantibodies between type 1 and type 2 diabetes mellitus
patients in Baghdad City were investigated.
Fifty individuals (25 female and 25 male) with type-1 DM in the age group of 10
to 35 years and seventy (35 female and 35 male) of having type-2 DM in the age
group of 33 to 60 years were investigated. A control group of twenty-five nondiabetes
was included. Serum sample collected was used to estimate anti-TPO, TG
and thyroid stimulating hormone antibodies (thyroid stimulating immunoglobulin
TSI and thyrotropin binding inhibitory immunoglobulin TBII) by using enzymelinked
immunosorbent assay (ELISA) technique.
The results show that there is a significant (p< 0.05) increase in the level of
thyroid peroxidase antibody (TPO-Ab) in female patients with T1DM and T2M
compared with control non-diabetes group. Furthermore, there is no significant (p<
0.05) difference in the level of TPO-Ab and Tg-Ab in male patients with T1DM and
T2DM compared with non-diabetes group. The results of this study also demonstrate
that there is a significant (p< 0.05) increase in the level of thyroid stimulating
immunoglobulin (TSI) in male patients with T1DM compared with control nondiabetes
group. In addition, there is no significant (p< 0.05) difference in the level of
TSI in female patients with T1DM and male and female with T2DM compared with
non-diabetes group. These results also illustrate that there is significant (p< 0.05)
increase in the level of thyrotropin binding inhibitory immunoglobulin (TBII) in
female and male patients with T2DM compared with control non-diabetes group.
Furthermore, there is no significant (p< 0.05) difference in the level of TSI in
female and male patients with T1DM compared with non-diabetes group.
From this study, it concluded that the presence of antithyroid peroxidase (TPO)
antibodies is helpful in predicting the development of autoimmune thyroid disorders,
especially hypothyroidism. Subclinical hypothyroidism has a negative influence on
lipid metabolism and it is an independent risk factor for myocardial infarction.
Experiments research is done to determine how saturated stiff clayey soil responds to a single impulsive load. Models made of saturated, stiff clay were investigated. To supply the single pulse energy, various falling weights from various heights were tested using the falling weight deflectometer (FWD). Dynamic effects can range from the major failure of a sensitive sensor or system to the apparent destruction of structures. This study examines the response of saturated stiff clay soil to a single impulsive load (vertical displacement at the soil surface below and beside the bearing plates). Such reactions consist of displacements, velocities, and accelerations caused by the impact occurring at the surface depth induced by the impact loads
... Show MoreThe accurate extracting, studying, and analyzing of drainage basin morphometric aspects is important for the accurate determination of environmental factors that formed them, such as climate, tectonic activity, region lithology, and land covering vegetation.
This work was divided into three stages; the 1st stage was delineation of the Al-Abiadh basin borders using a new approach that depends on three-dimensional modeling of the studied region and a drainage network pattern extraction using (Shuttle Radar Topographic Mission) data, the 2nd was the classification of the Al-Abiadh basin streams according to their shape and widenings, and the 3rd was ex
... Show MoreAzo dyes like methyl orange (MO) are very toxic components due to their recalcitrant properties which makes their removal from wastewater of textile industries a significant issue. The present study aimed to study their removal by utilizing aluminum and Ni foam (NiF) as anodes besides Fe foam electrodes as cathodes in an electrocoagulation (EC) system. Primary experiments were conducted using two Al anodes, two NiF anodes, or Al-NiF anodes to predict their advantages and drawbacks. It was concluded that the Al-NiF anodes were very effective in removing MO dye without long time of treatment or Ni leaching at in the case of adopting the Al-Al or NiF-NiF anodes, respectively. The structure and surface morphology of the NiF electrode were inves
... Show MoreThe research involves using phenol – formaldehyde (Novolak) resin as matrix for making composite material, while glass fiber type (E) was used as reinforcing materials. The specimen of the composite material is reinforced with (60%) ratio of glass fiber.
The impregnation method is used in test sample preparation, using molding by pressure presses.
All samples were exposure to (Co60) gamma rays of an average energy (2.5)Mev. The total doses were (208, 312 and 728) KGy.
The mechanical tests (bending, bending strength, shear force, impact strength and surface indentation) were performed on un irradiated and irrad
... Show MoreThe current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
... Show MoreNonlinear time series analysis is one of the most complex problems ; especially the nonlinear autoregressive with exogenous variable (NARX) .Then ; the problem of model identification and the correct orders determination considered the most important problem in the analysis of time series . In this paper , we proposed splines estimation method for model identification , then we used three criterions for the correct orders determination. Where ; proposed method used to estimate the additive splines for model identification , And the rank determination depends on the additive property to avoid the problem of curse dimensionally . The proposed method is one of the nonparametric methods , and the simulation results give a
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