Abstract The study aimed at reviewing translation theories proposed to address problems in translation studies. To the end, translation theories and their applications were reviewed in different studies with a focus on issues such as critical discourse analysis, cultural specific items and collocation translation.

Experimental and numerical investigations of the centrifugal pump performance at non-cavitating and cavitating flow conditions were carried out in the present study. Experiments were performed by applying a vacuum to a closed-loop system to investigate the effects of the net positive suction head available (NPSHa), flow rate, water temperature and pump speed on the centrifugal pump performance. Accordingly, many of the important parameters concerning cavitation phenomenon were calculated. Also, the noise which is accompanied by cavitation was measured. Numerical analysis was implemented for two phase flow (the water and its vapor) using a 2-D simulation by ANSYS FLUENT software to investigate the internal flow of centrifugal pump under c

Background: Asthma is an increasing worldwide health problem.   The prevalence of asthma is higher in some ethnic minorities and lower in other ethnic groups. Environmental exposures, and psychosocial factors, have been suggested to be main mediators for asthma. Ethnicity related to racial background can influence the differences in asthma through the disease susceptible alleles.

Objective: To evaluates environmental and cultural risk factors for asthma among different ethnic groups.

Methods: Random sample of 337 Iraqi selected from 5,490 Iraqi residents’ in the Greater Detroit area. Validated questionnaire was used. Chi-square, t-test and logistic regression

In this paper, a mathematical model consisting of the prey- predator model with disease in both the population is proposed and analyzed. The existence, uniqueness and boundedness of the solution are discussed. The existences and the stability analysis of all possible equilibrium points are studied. Numerical simulation is carried out to investigate the global dynamical behavior of the system.

Background; this study is designed to assess the effect of religious and spiritual beliefs on quality of life among two groups of university students in Iraq and Jordan.
Objective: to examine the psychological impact of religious and spiritual beliefs on quality of life and to implement the Quality of Life- Spiritual Religious and Personal Beliefs(QOL-SRPB)
questionnaire for the first time in both countries .
Method :A convenient sample of advanced medical students from Baghdad college of Medicine in Iraq and College of Medicine in University of Science and Technology in Jordan recruited during April 2008 to complete 200 forms of the Arabic modified version of QOL-SRPB simultaneously.
Results: Analysis of

This paper aims to propose a hybrid approach of two powerful methods, namely the differential transform and finite difference methods, to obtain the solution of the coupled Whitham-Broer-Kaup-Like equations which arises in shallow-water wave theory. The capability of the method to such problems is verified by taking different parameters and initial conditions. The numerical simulations are depicted in 2D and 3D graphs. It is shown that the used approach returns accurate solutions for this type of problems in comparison with the analytic ones.

Abstract The present work aims to study the performance of reinforced compacted clay soil by sand columns stabilized with sodium silicate to obtain more solid columns than the surrounding soil. The experimental work was carried out by using a lab model to evaluate the performance of both the floating and end bearing sand columns. The results showed that the improvement ratio for the soil reinforced with sand columns stabilized with sodium silicate reached 390% for the type of floating columns and 438% for end bearing columns.

This paper includes an experimental study of hydrogen mass flow rate and inlet hydrogen pressure effect on the fuel cell performance. Depending on the experimental results, a model of fuel cell based on artificial neural networks is proposed. A back propagation learning rule with the log-sigmoid activation function is adopted to construct neural networks model. Experimental data resulting from 36 fuel cell tests are used as a learning data. The hydrogen mass flow rate, applied load and inlet hydrogen pressure are inputs to fuel cell model, while the current and voltage are outputs. Proposed model could successfully predict the fuel cell performance in good agreement with actual data. This work is extended to developed fuel cell feedback