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ijp-124
Estimation the blast wave pressure effecters by apply Remote Sensing (RS) and Geographic Information System (GIS) techniques
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After the year 2003 terrorist attacks knock Baghdad city capital of Iraq using bomb explosion various, shook the nation, and made public resident of Baghdad aware of the need for better ways to protect occupants, assets, and buildings cause the terrorist gangs adopt style burst of blast to injury vulnerability a wider range form, and many structures will suffer damage from air blast when the overpressure concomitant the blast wave, (i.e., the excess over the atmospheric pressure 14.7 pounds per square inch at standard sea level conditions are about one-half pound per square inch or more(
to attainment injury. Then, the distance to which this overpressure level will extend depends primarily on the energy yield (§1.20) of the burst of blast. Accordingly, must been have adopted a changing philosophy to provide appropriate and effective protection for preservation of psyche and building occupants, by establishment of a protected perimeter and the design of a debris mitigating facade, the isolation of internal explosive threats that may to dodge detection through the screening stations or may enter the public spaces prior to screening and the protection of the emergency evacuation, rescue and recovery systems. By reason of this above-mentioned, the study simple contribution of determined phenomena risk containment. Moreover, in this study may be applied remote sensing (RS) and geographic information system (GIS) techniques to estimation the blast wave overpressure of bomb explosive effecters for damage that building of materials (i.e., facade, building glass, secondary of roof, fashioning tools and furniture), and how avoid this problem, therefore, selection justice ministry of Iraq building in Salehyiea region at Baghdad city, it destroyed at 28/10/2009 by motocar bombs explosion.

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Publication Date
Wed Jan 01 2025
Journal Name
Asian Pacific Journal Of Cancer Prevention
Quality of Life and Its Associated Factors Among Breast Cancer Women in Iraq: A Cross-Sectional Study
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Publication Date
Sun Jun 06 2021
Journal Name
University Of Baghdad
Synthesis, characterization, biological activity and thermal study of metal complexes with new ligands derived from succinyl chloride
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Publication Date
Sat Oct 01 2022
Journal Name
Baghdad Science Journal
Assessment of Obesity, Dyslipidemia, Hyperglycemia, and Pro-Inflammatory Cytokines as Cardiovascular Disease Risk Factors in Acromegaly Patients
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Cardiovascular disease is one of the most common comorbidities associated with enlarged extremities, occurring in 60 % of patients with acromegaly. The aim of this study is to evaluate the relationship of growth hormone and insulin such as growth factor-1 with obesity, dyslipidemia, hyperglycemia, and pro-inflammatory cytokines (IL-2, IL-6, IL-10), as risk factors for cardiovascular disorder in acromegaly patients. Eighty subjects were included and categorized into two groups: 40 acromegaly patients and 40 of the control group. The results indicated weight excess, hyperglycemia, hypertension, lipid disorder, and elevated levels of interleukins (2, 6, and 10). The correlation of both GH and IGF-1 with each of weight, BMI, systolic blood p

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Publication Date
Sun Jan 01 2017
Journal Name
Pakistan Journal Of Biotechnology
Fragmentation of gallbladder stones using transformer streptococcus salivarius and measuring of RNA expression to cholesterol lowering genes
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Recently, gallbladder stones have been contained bile salt saturated a proximal 70 % cholesterol. This led us to investigate how can use transformer Streptococcus salivarius with plasmid pMG36bsh to fragment cholesterol of gallstones in vitro. Total mRNA of S. salivarius was produced using easy-spinTM, total RNA extraction kit and PCR cDNA-RT to observe the change after percent pMG36bsh vector and prepare S. salivarius have two copies from bsh genes (cgh, bsh) to fragment gallstone in bacterial culture. Our data shows increase bacterial bsh expression help to reduce gallstones concentration in culture when bile salt presented as stimulating agent for the association bsh genes were 77% compare with wild type has the reducing concentration ra

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Publication Date
Mon Jul 27 2015
Journal Name
Iranian Journal Of Parasitology
Abnormalities of endocytosis, phagocytosis, and development process in Dictyostelium cells that over-express Acanthamoeba castellanii metacaspase protein
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Publication Date
Fri Dec 01 2023
Journal Name
Bulletin Of Electrical Engineering And Informatics
A comparative study of Gaussian mixture algorithm and K-means algorithm for efficient energy clustering in MWSN
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Wireless sensor networks (WSNs) represent one of the key technologies in internet of things (IoTs) networks. Since WSNs have finite energy sources, there is ongoing research work to develop new strategies for minimizing power consumption or enhancing traditional techniques. In this paper, a novel Gaussian mixture models (GMMs) algorithm is proposed for mobile wireless sensor networks (MWSNs) for energy saving. Performance evaluation of the clustering process with the GMM algorithm shows a remarkable energy saving in the network of up to 92%. In addition, a comparison with another clustering strategy that uses the K-means algorithm has been made, and the developed method has outperformed K-means with superior performance, saving ener

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Publication Date
Wed Jan 01 2020
Journal Name
Petroleum And Coal
Evaluation of geomechanical properties for tight reservoir using uniaxial compressive test, ultrasonic test, and well logs data
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Publication Date
Fri Jan 01 2016
Journal Name
Applied And Computational Mathematics
Memory Effects Due to Fractional Time Derivative and Integral Space in Diffusion Like Equation Via Haar Wavelets
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Publication Date
Sun Feb 22 2026
Journal Name
Discover Public Health
Patients’ lived experiences, attitudes, and skills on insulin self-administration among diabetic patients: a cross-sectional study
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Publication Date
Mon Nov 11 2019
Journal Name
Day 3 Wed, November 13, 2019
Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms
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Abstract<p>The drill bit is the most essential tool in drilling operation and optimum bit selection is one of the main challenges in planning and designing new wells. Conventional bit selections are mostly based on the historical performance of similar bits from offset wells. In addition, it is done by different techniques based on offset well logs. However, these methods are time consuming and they are not dependent on actual drilling parameters. The main objective of this study is to optimize bit selection in order to achieve maximum rate of penetration (ROP). In this work, a model that predicts the ROP was developed using artificial neural networks (ANNs) based on 19 input parameters. For the</p> ... Show More
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