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Bacterial Profile and Antimicrobial Susceptibility in Neonatal sepses, Al -Alwyia Pediatric Teaching Hospital in Baghdad
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Background: Neonatal septicemia is a major health problem in developing countries furthermore data on bacteriological profile in early onst sepses (EOS) and late neonatal sepsis (LOS) are lacking in context of  continuous change in bacteriological profile and increasing resistant strains. Objectives: The study done to determine the pattern of organisms implicated in neonatal septicemia in a neonatal care unit and to measure the degree of bacterial resistance to some antibiotics.

Type of the study : cross –sectional study.

Methods: Confirmed cases of neonatal septicemia admitted at Al-Alwyia pediatric teaching hospital for the period from January 2011- January 2012 were included which constitute 107 case. Blood samples were obtained, incubated and Subculture was done on blood agar and MacConkey Agar routinely after 48 hours and 7 days and in between if visible turbidity appeared. Bacterial isolates and antibiotic sensitivity   were identified by standard conventional methods.

Results EOS constituted  29.9%(32 case) of  confirmed neonatal sepsis , while LOS constituted 70.1% (75case) .Eescehrichia coli (E. coli) constitutes 37% of EOS followed by Klebsella pneumonia and Staphylocoocus species (which constitute 12.5% for each of them ) were the most common microorganisms, while for LOS: E.coli constituted 38.7 % of LOS followed by Staphylocoocus species 17.3% and Klebsella pneumonia 10.7%. Gram negative (G negative) bacteria predominated over gram positive (G positive) bacteria in both EOS (81.2%) and LOS (74.7%) .  Staphylocoocus species predominates G positive   sepsis in both EOS and LOS. Group B streptococci are not identified in the study sample. Microorganisms tested shows highly resistant to amoxicillin or ampicillin and to gentamycin.For amoxicillin or ampicillin higher resistant (100%) were encourted with pseudomonas, proteus and Enterobacter. For cefotaxime high rate of resistance encountered with klebsella (71.4%) compared to 40% resistant in pseudomonas. Amikacin also shows varied degree of resistant for E. coli(22% ) and klebsella (41%) , pseudomonas(10%)  ,and  Enterobacter (16.7%) .for Staphylococcus aureus, proteus and citrobacter no resistance was encountered to amikacin and the  sensitivity was 100% in tested isolates .

Conclusions:   G negative bacteria is more common in EOS and LOS with predominant of E. coli in two categories .Resistant strains to commonly used antibiotics is a common finding.  Guidelines in treatment of neonatal sepsis should be frequently reviewed taking in consideration antimicrobial resistance .  Due to magnitude of problem, preventive measures for EOS and LOS should be considered.

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Publication Date
Sun Aug 01 2021
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Simulation based comparison of routing protocols in wireless multihop adhoc networks
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Routing protocols are responsible for providing reliable communication between the source and destination nodes. The performance of these protocols in the ad hoc network family is influenced by several factors such as mobility model, traffic load, transmission range, and the number of mobile nodes which represents a great issue. Several simulation studies have explored routing protocol with performance parameters, but few relate to various protocols concerning routing and Quality of Service (QoS) metrics. This paper presents a simulation-based comparison of proactive, reactive, and multipath routing protocols in mobile ad hoc networks (MANETs). Specifically, the performance of AODV, DSDV, and AOMDV protocols are evaluated and analyz

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Publication Date
Sat Mar 23 2024
Journal Name
Journal Of Optics
Review Recent Developments In High-Power Diode Lasers For Biomedical Applications
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Diode laser technology is well established for biomedicine applications which demand high-power pulse-wave. They are extensively utilized from medical imaging and testing to surgical therapies and the latest aesthetic processes. For medical therapeutic practices, diode lasers have become the ideal laser source for this particular purpose. In the last previous years, semiconductor laser technology has evolved to produce high-repetitions rate near-infrared pulsed lasers diodes that are dependable, low-cost, portable, and small-weight, about few grams. In this paper, we review the recent development and demonstration of diode laser devices for biomedical applications recorded in the latest years taking into account the power, wavelength, and p

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Publication Date
Sun Apr 01 2018
Journal Name
2018 9th International Conference On Information And Communication Systems (icics)
An intersection-based segment aware algorithm for geographic routing in VANETs
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In networking communication systems like vehicular ad hoc networks, the high vehicular mobility leads to rapid shifts in vehicle densities, incoherence in inter-vehicle communications, and challenges for routing algorithms. It is necessary that the routing algorithm avoids transmitting the pockets via segments where the network density is low and the scale of network disconnections is high as this could lead to packet loss, interruptions and increased communication overhead in route recovery. Hence, attention needs to be paid to both segment status and traffic. The aim of this paper is to present an intersection-based segment aware algorithm for geographic routing in vehicular ad hoc networks. This algorithm makes available the best route f

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Publication Date
Mon Feb 27 2023
Journal Name
Applied Sciences
Comparison of ML/DL Approaches for Detecting DDoS Attacks in SDN
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Software-defined networking (SDN) presents novel security and privacy risks, including distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning (ML) and deep learning (DL) have emerged as effective approaches for quickly identifying and mitigating anomalies. To this end, this research employs various classification methods, including support vector machines (SVMs), K-nearest neighbors (KNNs), decision trees (DTs), multiple layer perceptron (MLP), and convolutional neural networks (CNNs), and compares their performance. CNN exhibits the highest train accuracy at 97.808%, yet the lowest prediction accuracy at 90.08%. In contrast, SVM demonstrates the highest prediction accuracy of 95.5%. As such, an

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Publication Date
Thu Aug 12 2021
Journal Name
Applied System Innovation
The Role of Correlation in the Performance of Massive MIMO Systems
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Massive multiple-input multiple-output (m-MIMO) is considered as an essential technique to meet the high data rate requirements of future sixth generation (6G) wireless communications networks. The vast majority of m-MIMO research has assumed that the channels are uncorrelated. However, this assumption seems highly idealistic. Therefore, this study investigates the m-MIMO performance when the channels are correlated and the base station employs different antenna array topologies, namely the uniform linear array (ULA) and uniform rectangular array (URA). In addition, this study develops analyses of the mean square error (MSE) and the regularized zero-forcing (RZF) precoder under imperfect channel state information (CSI) and a realist

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Publication Date
Tue Nov 01 2022
Journal Name
Saudi Medical Journal
The prevalence of metabolic syndrome among university students in Wasit, Iraq
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Publication Date
Sat Oct 01 2022
Journal Name
The Egyptian Rheumatologist
Diagnostic potential of interleukin-40 (IL-40) in rheumatoid arthritis patients
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Publication Date
Wed May 14 2025
Journal Name
Reproductive Biology And Endocrinology
The aryl hydrocarbon receptor: a new frontier in male reproductive system
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Background: The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor historically recognized for its role in the regulation of toxicity mediated by environmental chemicals. Recent research points to AhR's critical participation in male reproductive physiology, particularly in spermatogenesis, hormone signaling, and the maintenance of sperm quality. Both endogenous ligands (e.g., dietary and gut microbiota-derived metabolites) and exogenous pollutants (e.g., dioxins and benzo-α-pyrene) influence AhR-mediated pathways, making it a key link between environmental exposures and male fertility. Results: This review highlights AhR's influence on the male reproductive system, emphasizing the role of endogenous AhR ligands an

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Publication Date
Wed Jun 24 2020
Journal Name
Journal Of Engineering
Using Steel Slag for Stabilizing Clayey Soil in Sulaimani City-Iraq
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The clayey soils have the capability to swell and shrink with the variation in moisture content. Soil stabilization is a well-known technique, which is implemented to improve the geotechnical properties of soils. The massive quantities of waste materials are resulting from modern industry methods create disposal hazards in addition to environmental problems. The steel industry has a waste that can be used with low strength and weak engineering properties soils. This study is carried out to evaluate the effect of steel slag (SS) as a by-product of the geotechnical properties of clayey soil. A series of laboratory tests were conducted on natural and stabilized soils. SS was added by 0, 2.5, 5, 10, 15, and 20% to the soil.

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Publication Date
Wed Feb 01 2023
Journal Name
Journal Of Safety Research
Analysis of prevention through design studies in construction: A subject review
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