The present study aims to estimating the prevalence of autoimmune thyroid disorders in Iraqi infertile women with polycystic ovary syndrome (PCOS). Eighty-five Iraqi women, with age range (19-45) years, were divided into three groups; first group included 33 women with PCOS; second group included 30 women without PCOS; while third group included 22 fertile women as controls. The clinical data [age, body mass index (BMI), and menstrual status] have been recorded. Blood samples were collected to determine the levels of reproductive hormones [estradiol (E2), luteinizing hormone (LH), and follicle stimulating hormone (FSH)]; and thyroid hormones [triiodothyronine (T3) and thyroxin (T4)]. Also, autoimmune thyroid antibodies assessment has been carried out to determine the titrations of anti-thyroid peroxidase antibody (Anti-TPO Ab) and anti-thyroglobulin antibody (Anti-TG Ab).The findings revealed that thepercentage of obese was significantly (P<0.01) higher in the women with PCOS and without PCOS (66.67% and 53.34%, respectively) compared with the control women (9.10%). Also, more of the infertile women with PCOS and without PCOS (51.51% and 46.67%, respectively) had oligomenorrhea. The results of hormonal analyses revealed that non-significant (P>0.05) differences were found in levels of E2 and FSH among the different groups. A significant (P<0.05) increase was recorded in level of LH among PCOS group compared with control and without PCOS groups. Also, LH/FSH ratio was increased significantly (P<0.05) in PCOS group compared with control and without PCOS groups. On the other hand, the results of thyroid hormones showed non-significant (P>0.05) differences for T3 and T4 levels among the studied groups. Autoimmune thyroid antibodies assessment showed a significant (P<0.05) increased in the Anti TPO Ab titration among the infertile women with and without PCOS compared with the control; while there was a non-significant (P>0.05) difference between infertile women with PCOS and without PCOS. A significant (P<0.05) increased in the Anti TG Ab titration was found among infertile women with and without PCOS compared with the control group; also, a significant (P<0.05) increased was found in the infertile women without PCOS compared to with PCOS. Correlation between autoimmune thyroid antibodies and the studied hormones in women with and without PCOS revealed only a significant (P<0.01) positive correlation between Anti-TPO Ab titration and LH level (r=0.26); while a non-significant correlation has been found between Anti-TG Ab titration and the studied hormones.
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Thin films ZrO2: MgO nanostructure have been synthesized by a radio frequency magnetron plasma sputtering technique at different ratios of MgO (0,6, 8 and 10)% percentage to be used as the gas sensor for nitrogen dioxide NO2. The samples were investigated by X-ray diffraction (XRD), atomic force microscopy (AFM), scanning electron microscopy (SEM), energy-dispersive X-ray (EDX) and sensing properties were also investigated. The average particle size of all prepared samples was found lower than 33.22nm and the structure was a monoclinic phase. The distribution of grain size was found lower than36.3 nm and uninformed particles on the surface. Finally, the data of sensing properties have been discussed, where the
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The current research aims to determine the relationship of the impact of the components of the financing structure, especially financing through debts, as well as the earnings per share in the value of the shares of companies listed in the Iraq Stock Exchange. The research sample and identifying the strength of the combined effect of the ratio of financing through debt and earnings per share in maximizing The market value of the firm and the real value, as well as the variation between these relationships according to model of the real value of the companies and the market value of the research sample companies. The research community is represented by the Iraq Stock Exchange, while a conditional deliberate sample
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This paper presents a hybrid genetic algorithm (hGA) for optimizing the maximum likelihood function ln(L(phi(1),theta(1)))of the mixed model ARMA(1,1). The presented hybrid genetic algorithm (hGA) couples two processes: the canonical genetic algorithm (cGA) composed of three main steps: selection, local recombination and mutation, with the local search algorithm represent by steepest descent algorithm (sDA) which is defined by three basic parameters: frequency, probability, and number of local search iterations. The experimental design is based on simulating the cGA, hGA, and sDA algorithms with different values of model parameters, and sample size(n). The study contains comparison among these algorithms depending on MSE value. One can conc
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Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images
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Environmental pollution is experiencing an alarming surge within the global ecosystem, warranting urgent attention. Among the significant challenges that demand immediate resolution, effective treatment of industrial pollutants stands out prominently, which for decades has been the focus of most researchers for sustainable industrial development aiming to remove those pollutants and recover some of them. The liquid membrane (LM) method, specifically electromembrane extraction (EME), offers promise. EME deploys an electric field, reducing extraction time and energy use while staying eco-friendly. However, there's a crucial knowledge gap. Despite strides in understanding and applying EME, optimizing it for diverse industrial pollutant
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