Information about soil consolidation is essential in geotechnical design. Because of the time and expense involved in performing consolidation tests, equations are required to estimate compression index from soil index properties. Although many empirical equations concerning soil properties have been proposed, such equations may not be appropriate for local situations. The aim of this study is to investigate the consolidation and physical properties of the cohesive soil. Artificial Neural Network (ANN) has been adapted in this investigation to predict the compression index and compression ratio using basic index properties. One hundred and ninety five consolidation results for soils tested at different construction sites

Significant advances in horizontal well drilling technology have been made in recent years. The conventional productivity equations for single phase flowing at steady state conditions have been used and solved using Microsoft Excel for various reservoir properties and different horizontal well lengths.
The deviation between the actual field data, and that obtained by the software based on conventional equations have been adjusted to introduce some parameters inserted in the conventional equation.
The new formula for calculating flow efficiency was derived and applied with the best proposed values of coefficients ψ=0.7 and ω= 1.4. The simulated results fitted the field data.
Various reservoir and field parameters including late

Background: Extreme obesity is recognized to be a risk factor for coronary heart disease. It is unclear whether overweight and normal weight also poses a risk.
Objective: The study aims to determine the effect of the body mass index on coronary arteries and left ventricular functions in patients with post myocardial infarction (MI) angina
Method: The study included 50 patients with the diagnosis of post MI angina consecutively admitted to the medical ward of Iraqi Center for Heart Disease. All patients underwent
coronary artery catheterization and Echocardiography for assessment of coronary artery and left ventricular functions 
Results: The results of the study showed that there is a significant diff

Background: Extreme obesity is recognized to be a risk factor for coronary heart disease. It is unclear whether overweight and normal weight also poses a risk.
Objective: The study aims to determine the effect of the body mass index on coronary arteries and left ventricular functions in patients with post myocardial infarction (MI) angina
Method: The study included 50 patients with the diagnosis of post MI angina consecutively admitted to the medical ward of Iraqi Center for Heart Disease. All patients underwent
coronary artery catheterization and Echocardiography for assessment of coronary artery and left ventricular functions
Results: The results of the study showed that there is a significant difference

Rock engineers widely use the uniaxial compressive strength (UCS) of rocks in designing
surface and underground structures. The procedure for measuring this rock strength has been
standardized by both the International Society for Rock Mechanics (ISRM) and American Society
for Testing and Materials (ASTM), Akram and Bakar(2007).
In this paper, an experimental study was performed to correlate of Point Load Index ( Is(50))
and Pulse Wave Velocity (Vp) to the Unconfined Compressive Strength (UCS) of Rocks. The effect
of several parameters was studied. Point load test, Unconfined Compressive Strength (UCS) and
Pulse Wave Velocity (Vp) were used for testing several rock samples with different diameters.
The predicted e

Background: Fibromyalgia syndrome (FMS) is a common rheumatologic syndrome with multiple systemic manifestations & associated with many diseases. The aim of the study is to assess the relationship between FMS and BMI (Body mass index) in a sample of Iraqi patients.
Patients and Methods: Fifty patients with FMS, 46 (92%) females and 4 (8%) males; their mean age (47.44), and 25 healthy control individuals were studied; 13 (52%) are females and 12 (48%) are males, their mean ages (41.4) years. All FMS features and criteria are studied for patients and control, patients with secondary FMS was excluded. Body mass index (BMI) is determined for both groups. 
Results: The ratio between female and male was

Background:Varicoceles, present in 15% to 20% of men, are the most common abnormal finding among men presenting with infertility, yet controversy exists regarding their etiology. Anecdotal experience suggests that varicoceles are more prevalent in lean men, supporting the "nutcracker" effect of the superior mesenteric artery compressing the left renal vein over the aorta.
Materials and methods: A total of 206 males with varicocele attending the urological out patient clinic were evaluated from their physical screening examinations. All subjects underwent history taking and physical examinations to evaluate for the presence and severity of varicocele ht,weight and BMI, those compared with 206 men without v

Asthma and obesity are both a major public health problems affecting large numbers of individuals across the globe. Link between obesity and asthma is now considered as a recognized fact, and many epidemiological studies, found that overweight and obese people had a higher chance of developing asthma, with more severe symptoms. Assessment of the relationship between body mass index and asthma control. A cross-sectional study, that included 100 patients diagnosed with asthma, attending the respiratory disease consultatory unit at Baghdad teaching hospital. Body mass index was calculated by (BMI= weight in Kg/Height in m2), and Asthma control was assessed using asthma control test questionnaire forma. Statistical analysis done using, Test of

The efficiency evaluation of the railway lines performance is done through a set of indicators and criteria, the most important are transport density, the productivity of enrollee, passenger vehicle production, the productivity of freight wagon, and the productivity of locomotives. This study includes an attempt to calculate the most important of these indicators which transport density index from productivity during the four indicators, using artificial neural network technology. Two neural networks software are used in this study, (Simulnet) and (Neuframe), the results of second program has been adopted. Training results and test to the neural network data used in the study, which are obtained from the international in