Polycystic ovary syndrome (PCOS), also known as a common polygenic endocrine condition, affects the ovaries and results in infertility and abortion. Dyslipidemia, Diabetes, hypertension, endometrial cancer, and other illnesses may all be made more likely by PCOS. Various drugs are used to treat PCOS, but they have several drawbacks and cannot effectively cure the condition. Therefore, and due to its strong antioxidant activity, anti-obesity, anti-inflammation, and other actions, the flavonoid quercetin has been proven to have health-promoting properties. The purpose of the study was to assess quercetin's impact activity in the treatment of PCOS - induced rats. A PCOS rat model was developed using testosterone. Female albino Wistar rats (170±10 g) were subcutaneously injected with either testosterone propionate (TP) 10 mg/kg/day body weight or propylene glycol (PG) as vehicle 0.5ml daily, for 28 days (induction stage). The PCOS-induced rats were divided into two groups, one was treated orally with the vehicle (PG) and the other was treated orally with quercetin 25mg/kg/day over a period of 35 days (treatment stage). So, the biochemical assays proved the efficacy of quercetin on lipid profile and glucose uptake, in rat treatment with quercetin significantly decreased (P < 0.05) in body weight and fasting blood glucose, fasting insulin, cholesterol and triglyceride levels unlike PCOS-induced rats also, a significant increase in HDL level was achieved in quercetin - treated group compared to PCOS group. Thus, we conclude that quercetin is an effective remedy in modulating metabolic features and treating PCOS.
The research aims to clarify the role that psychological ownership, through its dimensions, plays in deterring the effects of toxic leadership, through its dimensions, in the Ministry of Industry and Minerals. The research started with a basic problem represented by the following question: "Using psychological ownership and its application in deterring the negative effects of toxic leadership." The research used the descriptive-analytical method. The sample was randomly selected from workers in some selected companies affiliated with the Ministry of Industry and Minerals in Baghdad, and the sample size reached 124 individuals. One of the most important results is that there is an effect of the psychological ownership variable, based on the
... Show MoreChannel estimation (CE) is essential for wireless links but becomes progressively onerous as Fifth Generation (5G) Multi-Input Multi-Output (MIMO) systems and extensive fading expand the search space and increase latency. This study redefines CE support as the process of learning to deduce channel type and signal-tonoise ratio (SNR) directly from per-tone Orthogonal Frequency-Division Multiplexing (OFDM) observations,with blind channel state information (CSI). We trained a dual deep model that combined Convolutional Neural Networks (CNNs) with Bidirectional Recurrent Neural Networks (BRNNs). We used a lookup table (LUT) label for channel type (class indices instead of per-tap values) and ordinal supervision for SNR (0–20 dB,5-dB steps). T
... Show MoreBackground: Dimensional changes of acrylic denture bases after polymerization results in need for further adjustments or even ends with technical failure of the finished dentures. The purpose of this study was to estimate the linear dimensional changes for different palatal depths when using multiple investment materials and polymerization techniques. Materials and methods: Ninety upper complete denture bases were constructed for this study. They were divided into two main groups according to the polymerization methods: conventional water bath and experimental autoclave (short and long cycles). Each main group was further subdivided into three subgroups according to the palatal depth (shallow, medium and deep). Furthermore, for each palatal
... Show MoreGenerally, statistical methods are used in various fields of science, especially in the research field, in which Statistical analysis is carried out by adopting several techniques, according to the nature of the study and its objectives. One of these techniques is building statistical models, which is done through regression models. This technique is considered one of the most important statistical methods for studying the relationship between a dependent variable, also called (the response variable) and the other variables, called covariate variables. This research describes the estimation of the partial linear regression model, as well as the estimation of the “missing at random” values (MAR). Regarding the
... Show MoreThe physical and elastic characteristics of rocks determine rock strengths in general. Rock strength is frequently assessed using porosity well logs such as neutron and sonic logs. The essential criteria for estimating rock mechanic parameters in petroleum engineering research are uniaxial compressive strength and elastic modulus. Indirect estimation using well-log data is necessary to measure these variables. This study attempts to create a single regression model that can accurately forecast rock mechanic characteristics for the Harth Carbonate Formation in the Fauqi oil field. According to the findings of this study, petrophysical parameters are reliable indexes for determining rock mechanical properties having good performance p
... Show MoreWe study in this paper the composition operator that is induced by ?(z) = sz + t. We give a characterization of the adjoint of composiotion operators generated by self-maps of the unit ball of form ?(z) = sz + t for which |s|?1, |t|<1 and |s|+|t|?1. In fact we prove that the adjoint is a product of toeplitz operators and composition operator. Also, we have studied the compactness of C? and give some other partial results.