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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Industrial development has recently increased, including that of plastic industries. Since plastic has a very long analytical life, it will cause environmental pollution, so studies have resorted to reusing recycled waste plastic (sustainable plastic) to produce environmentally friendly concrete (green concrete). In this research, producing environmentally friendly load-bearing concrete masonry units (blocks) was considered where five concrete mixtures were compressed at the blocks producing machine. The cement content reduced from 400 kg/m3 (B-400) to 300 kg/m3 (B-300) then to 200 kg/m3 (B-200). While (B-380) was produced using 380 kg/m3 cement and 20 kg/m3 nano-sil
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Little is known about hesitancy to receive the COVID‐19 vaccines. The objectives of this study were (1) to assess the perceptions of healthcare workers (HCWs) and the general population regarding the COVID‐19 vaccines, (2) to evaluate factors influencing the acceptance of vaccination using the health belief model (HBM), and (3) to qualitatively explore the suggested intervention strategies to promote the vaccination.
This was a cross‐sectional study based on electronic survey data that was collected in Iraq during December first‐19th, 2020. The electronic surve
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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Pushover analysis is an efficient method for the seismic evaluation of buildings under severe earthquakes. This paper aims to develop and verify the pushover analysis methodology for reinforced concrete frames. This technique depends on a nonlinear representation of the structure by using SAP2000 software. The properties of plastic hinges will be defined by generating the moment-curvature analysis for all the frame sections (beams and columns). The verification of the technique above was compared with the previous study for two-dimensional frames (4-and 7-story frames). The former study leaned on automatic identification of positive and negative moments, where the concrete sections and steel reinforcement quantities the
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