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Prevalence of coronary artery disease in patients with left bundle branch block and its association with risk factors hypertension and diabetes mellitus
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Abstract<sec> <title>Background:

Left bundle branch block (LBBB) is a common finding in electrocardiography, there are many causes of LBBB.

Objectives:

The aim of this study is to discuss the true prevalence of coronary artery disease (CAD) in patients with LBBB and associated risk factors in the form of hypertension and diabetes mellitus.

Materials and Methods:

Patients with LBBB were admitted to the Iraqi heart center for cardiac disease in December 2017 to the end of April 2021; all patients underwent coronary angiography and they are classified into three groups: group 1: patients with proximal left anterior descending artery (LAD) or mid-LAD and either left circumflex artery (LCX) or right coronary artery (RCA) with lesion consider significant if more than 70% stenosis of the artery, group 2: patients with either isolated LCX or RCA with lesion if more than 70% stenosis of the artery, group 3: patients with normal coronary artery.

Results:

The most important finding in this study is that the percentage of LAD artery lesions or two vessels disease was only 24.5%. Patients in group 1 showed a high prevalence of hypertension (77.6%), whereas in group 3, the prevalence of hypertension was 47.95%. In this study, the prevalence of diabetes mellitus in group 1 was high (62.2%), whereas in group 3, it was 32%.

Conclusion:

High prevalence of men with LBBB than women, and the prevalence of LBBB increases with age. Patients who had hypertension and diabetes mellitus with LBBB most likely had an ischemic cause of LBBB, but patients with LBBB had low ejection fraction (EF) 369 out of 400 patients (90%) had low EF.

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Publication Date
Thu Oct 01 2020
Journal Name
Biochemical And Cellular Archives
MORPHOLOGICAL DESCRIPTION AND HISTOLOGICAL STRUCTURE OF THE JEJUNUM IN THE IRAQI BLACK PARTRIDGE (FRANCOLINUS FRANCOLINUS)
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Publication Date
Tue Feb 01 2022
Journal Name
Journal Of Engineering Science And Technology
CORROSION of STEEL REINFORCEMENT in INTERNALLY CURED SELF-COMPACTING CONCRETE USING WASTE BRICK and THERMOSTONE
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Internal curing is a method that has been advised to decrease the primary age cracking, mainly of concrete mixes using low (water to cementitious materials - w/cm) ratios corresponding to the self-compacting concrete-(SCC). This research aims to study the effect of the internal curing using saturated lightweight aggregate- (LWA) on the steel reinforcing corrosion in SCC. In this research, crushed bricks or thermostone were partially replaced by (20%) by the weight of sand and volumetrically measured. The results showed that the steel reinforcement of internally cured concrete showed a slight increase in corrosion up to 300 days of exposure to the saline solution (containing 3.5% NaCl). The ability of using the crushed bricks or thermostone

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Publication Date
Thu Jan 01 2026
Journal Name
Current Chemistry Letters
Assessment of heavy metal soil pollution in areas surrounding Baghdad and the associated environmental risks
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The study included calculating levels of lead, cadmium, zinc, copper, nickel, chromium, and iron in the Baghdad Belt region using geochemical indicators, including the Integrated Pollution Index (IPI) and the Risk Index (RI). Data variations were observed between the agricultural and industrial areas studied, reflecting differences in heavy metal levels. The highest concentrations of lead (89 mg/kg), cadmium (1.9 mg/kg), zinc (133 mg/kg), copper (77 mg/kg), nickel (91 mg/kg), chromium (100 mg/kg), and iron (25,000 mg/kg) were recorded in Abu Ghraib. Pollution indices showed moderate to severe levels, ranging from 1.23 in Al-Tarmiya to a maximum of 2.28 in Abu Ghraib.

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Publication Date
Sun Jun 01 2025
Journal Name
Egyptian Journal Of Veterinary Sciences
Molecular Detection of Klebseilla pneumoniae Isolated from Respiratory Infected Sheep and Histopathological Study in Rabbits
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Publication Date
Wed Feb 28 2024
Journal Name
The Scientific World Journal
Leaf Extracts of Moringa oleifera Cultivated in Baghdad: Characterization and Antimicrobial Potential against Endodontic Pathogens
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The use of medicinal plant preparations to clean and disinfect root canal infection is gaining popularity. The aim of this study was to evaluate the bioactive composition of leaf extracts of Moringa oleifera plants cultivated in Iraq (specifically Baghdad) and their antimicrobial activity against selected root canal pathogens for potential application in endodontic treatment. Materials and Methods. Moringa leaf extracts were prepared either through cold maceration or warm digestion techniques to perform an ethanolic or aqueous extraction, respectively. Phytochemical detection was performed before thin layer chromatography (TLC) and high-performance liquid chromatography (HPLC) to measure flavonoids and phenolic compounds within both

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Publication Date
Sat Dec 11 2021
Journal Name
Engineering, Technology &amp; Applied Science Research
Evaluation of Rutting in Conventional and Rubberized Asphalt Mixes Using Numerical Modeling Under Repeated Loads
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This research aimed to predict the permanent deformation (rutting) in conventional and rubberized asphalt mixes under repeated load conditions using the Finite Element Method (FEM). A three-dimensional (3D) model was developed to simulate the Wheel Track Testing (WTT) loading. The study was conducted using the Abaqus/Standard finite element software. The pavement slab was simulated using a nonlinear creep (time-hardening) model at 40°C. The responses of the viscoplastic model under the influence of the trapezoidal amplitude of moving wheel loadings were determined for different speeds and numbers of cycles. The results indicated that a wheel speed increase from 0.5Km/h to 1.0Km/h decreased the rut depth by about 22% and 24% in conv

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Publication Date
Mon Jun 01 2020
Journal Name
Journal Of Engineering
Petrophysical Properties and Well Log Interpretations of Tertiary Reservoir in Khabaz Oil Field / Northern Iraq
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The aim of this study is interpretation well logs to determine Petrophysical properties of tertiary reservoir in Khabaz oil field using IP software (V.3.5). The study consisted of seven wells which distributed in Khabaz oilfield. Tertiary reservoir composed from mainly several reservoir units. These units are : Jeribe, Unit (A), Unit (A'), Unit (B), Unit (BE), Unit (E),the Unit (B) considers best reservoir unit because it has good Petrophysical properties (low water saturation and high porous media ) with high existence of hydrocarbon in this unit. Several well logging tools such as Neutron, Density, and Sonic log were used to identify total porosity, secondary porosity, and effective porosity in tertiary reservoir. For

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Publication Date
Sun Dec 01 2013
Journal Name
Toxicon
Methods for simultaneous detection of the cyanotoxins BMAA, DABA, and anatoxin-a in environmental samples
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Publication Date
Mon Jan 01 2024
Journal Name
Corporate And Business Strategy Review
The role of entrepreneurial leadership strategy in promoting organizational sustainability: A descriptive and analytical study
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The paper aims to build a model that supports organizational sustainability by analyzing the correlations and revealing the impact between the two main variables (entrepreneurial leadership) with its dimensions of proactive outlook, risk, and creativity (Van Zyl & Mathur-Helm, 2007), and (organizational sustainability) with its economic, environmental, and societal dimensions (Hansmann et al., 2012). As well as identifying the level of awareness and informing managers in the General Company for the Automotive and Equipment Industry, of the theoretical implications and performance, and its vital importance to society and the surrounding ecological environment, and drawing attention to that and improving performance, and indicatin

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Publication Date
Sat Feb 07 2026
Journal Name
Algorithms
An In-Depth Review of Speech Enhancement Algorithms: Classifications, Underlying Principles, Challenges, and Emerging Trends
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Speech enhancement aims to improve speech quality and intelligibility in noisy environments and is important in applications such as hearing aids, mobile communications and automatic speech recognition (ASR). This paper shows a structured review of speech enhancement techniques, classified depending on the channel configuration and signal processing framework. Both traditional and modern approaches are discussed, including classical signal processing methods, machine learning techniques, and recent deep learning-based models. Furthermore, common noise types, widely used speech datasets, and standard evaluation metrics for evaluating speech quality and intelligibility are reviewed. Key challenges such as non-stationary noise, data li

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