Background: Hepatitis C and B is common disease all over the world and their chronicity is a social and medical problem so medical treatment by alpha interferon can change the mortality and morbidity.
Object: Identify the incidence of the side effects of pegylated interferon alpha in a sample of Iraqi patients with chronic hepatitis B&C and their relation to age, gender, duration of treatment and type of hepatitis comparing them with the literatures from other countries.
Patients and methods:A descriptive case series study was conducted on 50 patients, 24 male and 26 female, with established diagnosis of hepatitis B(20 patients)and C(30 patients) who attend Baghdad Teaching hospital and Gastroenterology and Hepatology centre in Baghdad between the period of January 2009 and October 2010 with follow up over at least 3 months.
A direct interview with detailed history and thorough clinical examination with some simple laboratory investigation were done to determine any of the documented side effects of alpha interferon therapy or discover new side effects not elicited in the studies done on other populations.
Results: Flu-like illness is the most common side effect (84%), followed by fatigue, anorexia, local reaction and neuropsychiatric side effects while Neutropenia, lymphopenia and thyroiditis are rare.
There is no significant difference in the incidence of side effects between age groups with the exception of constipation which occurs more in younger age group. Arthralgia, palpitation, eczema, itching and rash increase in incidence with prolonged duration of treatment.
There is no significant difference in incidence of side effects between both genders apart from hypertension (more in female) and dizziness (more in male).
There is no significant difference in incidence of side effects between patients with hepatitis B&C but anemia occurs more in patients with hepatitis C and tremor reported more in patients with hepatitis B.
Conclusion: Almost all patients on treatment with interferon-based regimen will experience adverse events that can threaten good adherence. Flu-like illness is the most common side effect (84%), followed by fatigue, anorexia, local reaction and neuropsychiatric side effects (depression, nervousness, insomnia).
The higher incidence of anemia in patients with hepatitis C is mostly due to concomitant ribavirin therapy.
Age, gender, type of hepatitis and duration of treatment can affect the incidence of interferon therapy.
The soft sets were known since 1999, and because of their wide applications and their great flexibility to solve the problems, we used these concepts to define new types of soft limit points, that we called soft turning points.Finally, we used these points to define new types of soft separation axioms and we study their properties.
Abstract
Black paint laser peening (bPLP) technique is currently applied for many engineering materials , especially for aluminum alloys due to high improvement in fatigue life and strength . Constant and variable bending fatigue tests have been performed at RT and stress ratio R= -1 . The results of the present work observed that the significance of the surface work hardening which generated high negative residual stresses in bPLP specimens .The fatigue life improvement factor (FLIF) for bPLP constant fatigue behavior was from 2.543 to 3.3 compared to untreated fatigue and the increase in fatigue strength at 107 cycle was 21% . The bPLP cumulative fatigue life behav
... Show MoreThe legal protection of the human genome is an ethical issue related to the future of human existence. After the disclosure of the human genetic map, scientific practices and research related to the human genome increased, especially the negative applications of genetic engineering that violates basic human rights, especially the right to human dignity, and pose real challenges to the existence and diversity of Present and future generations. Therefore, the existence of legal rules at the national and international levels is an absolute necessity to prohibit these threats and to arrange civil and criminal liability for those who violate them.
This article contains a new generalizations of Ϻ-hyponormal operators which is namely (Ϻ,θ)-hyponormal operator define on Hilbert space H. Furthermore, we investigate some properties of this concept such as the product and sum of two (Ϻ, θ)-hyponormal operators, At the end the operator equation where , has been used for getting several characterization of (Ϻ,θ)-hyponormal operators.
Autonomous motion planning is important area of robotics research. This type of planning relieves human operator from tedious job of motion planning. This reduces the possibility of human error and increase efficiency of whole process.
This research presents a new algorithm to plan path for autonomous mobile robot based on image processing techniques by using wireless camera that provides the desired image for the unknown environment . The proposed algorithm is applied on this image to obtain a optimal path for the robot. It is based on the observation and analysis of the obstacles that lying in the straight path between the start and the goal point by detecting these obstacles, analyzing and studying their shapes, positions and
... Show MoreMany fuzzy clustering are based on within-cluster scatter with a compactness measure , but in this paper explaining new fuzzy clustering method which depend on within-cluster scatter with a compactness measure and between-cluster scatter with a separation measure called the fuzzy compactness and separation (FCS). The fuzzy linear discriminant analysis (FLDA) based on within-cluster scatter matrix and between-cluster scatter matrix . Then two fuzzy scattering matrices in the objective function assure the compactness between data elements and cluster centers .To test the optimal number of clusters using validation clustering method is discuss .After that an illustrate example are applied.
Determination of the sites of geographical coordinates with high accuracy and in short time is very important in many applications, including: air and sea navigation, and in the uses geodetic surveys. Today, the Global Positioning System (GPS) plays an important role in performing this task. The datum used for GPS positioning is called World Geodetic System 1984 (WGS84). It consists of a three-dimensional Cartesian coordinate system and an associated ellipsoid so that WGS84 positions describe coordinates as latitude, longitude and ellipsoid height (h) coordinates, with respect to the center of mass of the Earth This study develops a mathematical model for geomantic measurement correction for ellipsoidal heights (h) between two different
... Show MoreThe usage of remote sensing techniques in managing and monitoring the environmental areas is increasing due to the improvement of the sensors used in the observation satellites around the earth. Resolution merge process is used to combine high resolution one band image with another one that have low resolution multi bands image to produce one image that is high in both spatial and spectral resolution. In this work different merging methods were tested to evaluate their enhancement capabilities to extract different environmental areas; Principle component analysis (PCA), Brovey, modified (Intensity, Hue ,Saturation) method and High Pass Filter methods were tested and subjected to visual and statistical comparison for evaluation. Both visu
... Show MoreIn this paper we define and study new concepts of fibrewise topological spaces over B namely, fibrewise near topological spaces over B. Also, we introduce the concepts of fibrewise near closed and near open topological spaces over B; Furthermore we state and prove several Propositions concerning with these concepts.
Agriculture improvement is a national economic issue that extremely depends on productivity. The explanation of disease detection in plants plays a significant role in the agriculture field. Accurate prediction of the plant disease can help treat the leaf as early as possible, which controls the economic loss. This paper aims to use the Image processing techniques with Convolutional Neural Network (CNN). It is one of the deep learning techniques to classify and detect plant leaf diseases. A publicly available Plant village dataset was used, which consists of 15 classes, including 12 diseases classes and 3 healthy classes. The data augmentation techniques have been used. In addition to dropout and weight reg
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