Cost estimation is considered one of the important tasks in the construction projects management. The precise estimation of the construction cost affect on the success and quality of a construction project. Elemental estimation is considered a very important stage to the project team because it represents one of the key project elements. It helps in formulating the basis to strategies and execution plans for construction and engineering. Elemental estimation, which in the early stage, estimates the construction costs depending on . minimum details of the project so that it gives an indication for the initial design stage of a project. This paper studies the factors that affect the elemental cost estimation as well as the relation between these factors using Analytic Hierarchy Process (AHP) method. Final conclusions and recommendations were extracted for better elemental estimation accuracy in project management.
This research aimed to develop a simulation traffic model for an urban street with heterogeneous traffic capable of analyzing different types of vehicles of static and dynamic characteristics based on trajectory analysis that demonstrated psychophysical driver behavior. The base developed model for urban traffic was performed based on the collected field data for the major urban street in Baghdad city. The parameter; CC1 minimum headway (represented the speed-dependent of the safety distance from stop line that the driver desired) justified in the range from (2.86sec) to (2.17 sec) indicated a good match to reflect the actual traffic behavior for urban traffic streets. A good indication of the convergence between simulat
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Abstract
Background: The novel coronavirus 2 (SARS?CoV?2) pandemic is a pulmonary disease, which leads to cardiac, hematologic, and renal complications. Anticoagulants are used for COVID-19 infected patients because the infection increases the risk of thrombosis. The world health organization (WHO), recommend prophylaxis dose of anticoagulants: (Enoxaparin or unfractionated Heparin for hospitalized patients with COVID-19 disease. This has created an urgent need to identify effective medications for COVID-19 prevention and treatment. The value of COVID-19 treatments is affected by cost-effectiveness analysis (CEA) to inform relative value and how to best maximize social welfare through eviden
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This study was conducted from January to October 2014, the samples were
collected monthly from four stations in AL-Diwaniya River at AL-Diwaniya city.
Phytoplankton species which are diagnosed during study period are (506) and the
numbers of common types in four sites are (61). Bacillariophyceae is dominate on
other classes and Chlorophyceae, Cyanophyceae, Dinophyceae then Chrysophyceae
and Euglenophyceae. The study shows that there are (150), (144), (118) and (94)
species in the first, second, third and fourth sites. The species that have highs numbers
are (Achnanthes, Cymbella, Nitzschia, Navicula). Other types are dominant in their
existence and number during study period (Cycltella comta, Cylotella Ocellata,
The objective of this study was tointroduce a recursive least squares (RLS) parameter estimatorenhanced by using a neural network (NN) to facilitate the computing of a bit error rate (BER) (error reduction) during channels estimation of a multiple input-multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system over a Rayleigh multipath fading channel.Recursive least square is an efficient approach to neural network training:first, the neural network estimator learns to adapt to the channel variations then it estimates the channel frequency response. Simulation results show that the proposed method has better performance compared to the conventional methods least square (LS) and the original RLS and it is more robust a
... Show MoreThe stress(Y) – strength(X) model reliability Bayesian estimation which defines life of a component with strength X and stress Y (the component fails if and only if at any time the applied stress is greater than its strength) has been studied, then the reliability; R=P(Y<X), can be considered as a measure of the component performance. In this paper, a Bayesian analysis has been considered for R when the two variables X and Y are independent Weibull random variables with common parameter α in order to study the effect of each of the two different scale parameters β and λ; respectively, using three different [weighted, quadratic and entropy] loss functions under two different prior functions [Gamma and extension of Jeffery
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Abstract :
Researchers have great interest in studying the black box models this thesis has been focused in the study one of the black box models , a ARMAX model which is one of the important models and can be accessed through a number of special cases which models (AR , MA , ARMA, ARX) , which combines method of the time series that depend on historical data and and regression method as explanatory variables addition to that past errors , ARMAX model importance has appeared in many areas of application that direct contact with our daily lives , it consists of constructing ARMAX model several traditional stages of the process , a iden
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Abstract:
The aim of this research is to highlight the importance of reducing the cost of a flight ticket by using information technology and the Internet, in the process of purchasing tickets for electronic flights, and to shift from the traditional method of purchasing and payment operations to the electronic method, to reduce the financial and non-financial risks associated with the traditional purchase process, as well as saving the cost Time, effort and money for the customer, and the researcher used the deductive approach in linking the variables (Internet of Things technology and reducing the costs of air tickets) wi
... Show MoreThe present study was designed to find the relation between oxidative stress and
pregnancy. The study used one hundred twenty volunteers (ninety pregnant women
and thirty non-pregnant women). Then pregnant women were divided to three
subgroups according to trimester (first trimester, second trimester and third
trimester). then, some oxidative stress factors (MDA, GSH, catalase and TAC) were
measurement. Biochemical tests showed significant (P<0.05) increase in
malonedialdehyied (MDA) and significant (P<0.05) decrease in Glutathione (GSH),
Catalase (CAT) and total antioxidant capacity (TAC) in pregnant women compared
with non-pregnant women group. It was concluded from this study that the
pregnancy led to
Background: Diabetes Mellitus is a complex chronic disease, requiring continuous medical care with multi factorial risk reduction strategies beyond glycemic control. Approximately 30% of patients with types 1 and type 2 diabetes had depression. In addition to the high risk of complications and poor glycemic control, individuals with both diabetes and depression have a 2-3 times greater risk of early mortality than do nondepressed people with diabetes. Early detection of this comorbidity is worthy, especially with simple and relatively valid scales.
Objectives: To identify the prevalence and potential risk factors of depression among diabetic patients in Babel province, 2013-2014
Patient and Method: A c
Background: Congenital malformations are responsible for a considerable proportion of perinatal, neonatal and infant mortality in many Eastern Mediterranean countries. So this study
aims to find out the incidence, types and probable risk factors of these malformations in Baghdad.
Patients and methods: one hundred cases of congenital malformations were studied out of 8090 neonates born in 4 hospitals in Baghdad province over 5 months in 2002 (preterm, term) .The incidence , types and risk factors were analysed.
Results: the incidence of congenital malformations was 12.36/ 1000 live births, with the central nervous system malformations being the commonest. There is increased risk in consanguinous mar
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