Estimation of COVID-19 infections in Iraqi governorates using generalized moments method in spatial autoregressive model

At the end of 2019, a new type of virus that infects the human respiratory system was discovered in China, and it was briefly called COVID-19. In March 2020, the world Health Organization (WHO) declared Corona Virus a global pandemic. The Corona Virus is transmitted through air or through contact. The possibility of infection increases in the area or areas neighboring to the area that witnessed a community spread of the virus or when individuals return from that affected area to their areas of residence. Given the limited studies on the impact of affected neighboring areas or countries, this study focused on using the spatial autoregression model, one of the econometric models. Model parameters have been estimated using the Generalized Moment Method (GMM) which has the ability to correct the Endogeneity that occurs by the spatial regression variable as well as due to the endogenous variables. The results showed that the number of infections (Yn) of Corona epidemic increases as there are infections in the surrounding areas and vice versa. This confirms the impact of spatial neighborhood on the spread of infections among neighboring governorates

Synthesis and Characterization of New Polyimide by Curing Poly Acryloyl Chloride with Different Amides

The present work involved preparation of new substituted and unsubstituted and poly imides (1-17) using reaction of acryloyl chloride with different amides (aliphatic ,aromatic) in the presence of a suitable solvent and amount tri ethyl amine (Et3N) with heating – the structure confirmation of all polymers were proved using FT-IR,1H-NMR,C13NMR and UV spectroscopy ,thermal analysis (TG) for some polymers confirmed their thermal stabilities . Other physical properties including softening and melting points, PH and solubility of the polymers were also measure

Synthesis and Characterization of New heterocyclic Polyacrylamides from Derivatives 2-Aminobenzothiazole

The present work involved preparation of new hetro cyclic polyacrylamides (1-9) using reaction of polyacryloyl chloride with 2-aminobenzothiazole which prepeard by thiocyanogen method in the presence of a suitable solvent and amount tri ethyl amine (Et3N) with heating. The structure confirmation of polymers were proved using FT-IR,1H-NMR,C13NMR and UV spectroscopy.Other physical properties including softening and melting points, and solubility of the polymers were also measured

A comparative study between shrinkage methods (ridge-lasso) using simulation

The general linear model is widely used in many scientific fields, especially biological ones. The Ordinary Least Squares (OLS) estimators for the coefficients of the general linear model are characterized by good specifications symbolized by the acronym BLUE (Best Linear Unbiased Estimator), provided that the basic assumptions for building the model under study are met. The failure to achieve one of the basic assumptions or hypotheses required to build the model can lead to the emergence of estimators with low bias and high variance, which results in poor performance in both prediction and explanation of the model in question. The hypothesis that there are no multiple linear relationships between the explanatory variables is considered one of the leading hypotheses on which the model is based. Thus, the emergence of this problem leads to misleading results and high (Wide) confidence limits for the estimators associated with those variables due to problems characterizing the model. Shrinkage methods are considered one of the most effective and preferable ways to eliminate the multicollinearity problem. These methods are based on addressing the multicollinearity problems by reducing the variance of estimators in the model. Ridge and Lasso methods represent the most and most common of these methods of shrinkage. The simulation was carried out for different sample sizes (40, 120, 200) and some variables (P=30, 60) in the first and second experiments arbitrarily and at the level of low, medium, and high correlation coefficients (0.2, 0.5, 0.8). When (p=30, 60) Lasso method has the smallest (MSE) than the Ridge method. The Lasso method proved its efficiency by obtaining the least MSE. Optimal Penalty parameter (λ) chosen from Cross-Validation through minimizing (MSE) of prediction. We see a rapid increase for (MSE) for both (Ridge-Lasso) where the top axis indicates the number of model variables, and when the correlation between variables increases and sample size too, we can see the (MSE) values increase in the Ridge method than the Lasso method. A ridge method gives greater efficiency when the sample size is more significant than variables (

A new shrinkage method for higher dimensions regression model to remedy of multicollinearity problem

This research seeks to present new method of shrinking variables to select some basic variables from large data sets. This new shrinkage estimator is a modification of (Ridge and Adaptive Lasso) shrinkage regression method in the presence of the mixing parameter that was calculated in the Elastic-Net. The Proposed estimator is called (Improved Mixed Shrinkage Estimator (IMSHE)) to handle the problem of multicollinearity. In practice, it is difficult to achieve the required accuracy and efficiency when dealing with a big data set, especially in the case of multicollinearity problem between the explanatory variables. By using Basic shrinkage methods (Lasso, Adaptive Lasso and Elastic Net) and comparing their results with the New shrinkage method (IMSH) was applied to a set of obesity -related data containing (52) variables for a sample of (112) observations. All shrinkage methods have also been compared for efficiency through Mean Square Error (MSE) criterion and Cross Validation Parameter (CVP). The results showed that the best shrinking parameter among the four methods (Lasso, Adaptive Lasso, Elastic Net and IMSH) was for the IMSH shrinkage method, as it corresponds to the lowest (MSE) based on the cross-validation parameter test (CVP). The new proposed method IMSH achieved the optimal shrinking parameter (λ = 0.6932827) according to the (CVP) test, that leads to have minimum value of mean square error (MSE) equal (0.2576002). The results showed when the value of the regularization parameter increases, the value of the shrinkage parameter decreases to become equal to zero, so the ideal number of variables after shrinkage is (p=6)

Metabolic Disturbances of Phosphate in Metabolic Syndrome

Background: Metabolic syndrome MS a cluster of disorders comprising obesity (central and abdominal), dyslipidaemias, glucose intolerance, insulin resistance (or hyperinsulinaemia) and hypertension – is highly predictive of type 2 diabetes mellitus and cardiovascular disease. It should be emphasized that the metabolic syndrome is a syndrome and not a disease. The aim of this study is to evaluate the levels of serum phosphate in different levels in subjects with metabolic syndrome MS and Correlation between serum phosphate levels with metabolic syndrome components. The study was carried out at the National diabetes Center (NDC) /AL-Mustansiryia University ,the period from (Desmber.2011 – May 2012) One hundred forty (140) Iraqi individuals enrolled in the study (100 subject diagnosed as having metabolic syndrome and 40 as control group). The diagnosis of metabolic syndrome was based on Adult Treatment Panel III guidelines. The results of the serum phosphate concentrations in both groups showed that subjects with metabolic syndrome had significantly lower phosphate concentrations 1.52 mg/dl compared with that of control 2.29 mg/dl P?0.0001. The clinical significance of these electrolyte disturbances, as one of the diagnostic criteria of metabolic syndrome. In addition this electrolyte imbalance may have a role in prevention and or treatment of the metabolic syndrome

Pharmacological Therapy for Ischemic Stroke Patients Accordance to Clinical Practice Guidelines

Stroke ranks as the second most common cause of mortality and the third most significant cause of disability globally. The frequency of stroke remains elevated in low- and middle-income countries, affecting 70% of the population. Additionally, stroke-related deaths and disability-adjusted life years might reach as high as 87%. This study aims to evaluate the suitability of a pharmacological treatment approach for stroke patients in Malaysia, specifically in a public hospital setting. The evaluation will be based on the Clinical Practice Guidelines (CPG) 2012. A four-year retrospective, cross-sectional study was undertaken using medical records conducted among (n=682) hospitalized patients at Sungai Buloh Hospital; only (n=126) conforms with inclusion criteria and confirmed ischemic stroke diagnoses. Data was gathered utilizing a self-created data-collecting form that included demographic information, comorbidity, and pharmacological treatment. The mean age of the reported cases was 66.66 years, with the majority (58%) males and only (42%) females. The compliance to the Clinical Practice Guideline Malaysia 2012 for ischemic stroke inpatient setting in a public hospital is (>72%) (p=0.001). A significant proportion of patients had pharmacological therapeutic management in adherence to stroke recommendations, which is considered a critical factor in reducing stroke-related disability and mortality

Herniation of the Anterior Wall of the Stomach into a Congenital Postdiaphragmatic Space: An Unusual Complication following Laparoscopic Nissen Fundoplication

Postoperative herniation of the stomach into potential spaces is a rare but serious complication of Nissen fundoplication. We report a 55-year-old female who presented with persistent vomiting shortly following laparoscopic Nissen fundoplication. At laparotomy, the anterior wall of the stomach was noted to be herniating into a congenital space behind the diaphragm. Anterior gastropexy was performed following the reduction of the herniating gastric segment. A high index of suspicion followed by aggressive and timely intervention is necessary to diagnose and manage postoperative gastric herniation and reduce the subsequent morbidity and mortality