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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
Bulletin Of Electrical Engineering And Informatics
A critical success factors for software project manager in GVTs within covid-19 pandemic
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The covid-19 pandemic sweeping the world and has rendered a large proportion of the workforce as they are unable to commute to work. This has resulted in employees and employers seeking alternative work arrangements, including the software industry. Then comes the need for the global market and international presence of many companies to implement the global virtual teams (GVTs). GVTs members are gradually engaged in globalized business environments across space, time and organizational boundaries via information and communication technologies. Despite the advancement of technology, the project managers are still facing many challenges in communication. Hense, to become a successful project manager still a big challenge for them. This study

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Publication Date
Sat Jan 07 2023
Journal Name
Transportation Infrastructure Geotechnology
Numerical Study of the Seismic Response of Closed-Ended Pipe Pile in Cohesionless Soils
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Publication Date
Thu Nov 16 2023
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
Evaluating TLR4 Gene Expression to Monitor Disease Progression in Iraqi Patients with Rheumatoid Arthritis
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Background: Toll-like receptors (TLRs) play a significant role in the activation of adaptive immunity and may have an essential role in the development of rheumatoid arthritis (RA). Objectives: To assess the gene expression of TLR4 in individuals with RA compared to healthy individuals. Methods: From July to December 2022. A total of 100 individuals were encompassed in the study, consisting of 50 individuals diagnosed with RA, of whom 42 were females and 8 were males, with an average age of 45.22 years. Additionally, there were 50 healthy control participants, 40 of whom were females and 10 were males, with an average age of 45.64 years. To assess the TLR4 transcript levels, blood samples were collected from each participant, and RN

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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Efficacy of Saccharomyces cerevesiae on promoting growth in tomato: Nahida M.Saleh |Adnan A. Issa
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This study was conducted to evaluate the efficacy of Saccharomyces cerevesiae as a growth promoting agent in tomato. Soaking the seeds in yeast suspension at 5 g/L for 12h increased germination percentage, root length, root fresh and dry weight, plant height, foliage fresh and dry weight, attained 88.5% ; 8.1 cm ; 84.3 mg ; 7.03 mg ; 10.75 cm ; 839 mg and 37.75 mg compared with 80% ; 5.33 cm ; 39 mg ; 4.8 mg ; 7.35 cm ; 608 mg and 25.5 mg in seedlings grown from non treated seeds respectively. Similar results were obtained with seedling from seeds soaked in S. cerevesiae filtrate for 12 hrs. with values of 77.5% ; 6.875 cm ; 91.5 mg ; 7.5 mg ; 9.5 cm ; 777 mg and 40.35 mg compared to 66% ; 5.8 cm ; 57.7 mg ; 5.03 mg ; 5.9 cm ; 493 mg

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Publication Date
Wed Jan 01 2025
Journal Name
Journal Of Engineering And Sustainable Development
Improving Performance Classification in Wireless Body Area Sensor Networks Based on Machine Learning Techniques
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Wireless Body Area Sensor Networks (WBASNs) have garnered significant attention due to the implementation of self-automaton and modern technologies. Within the healthcare WBASN, certain sensed data hold greater significance than others in light of their critical aspect. Such vital data must be given within a specified time frame. Data loss and delay could not be tolerated in such types of systems. Intelligent algorithms are distinguished by their superior ability to interact with various data systems. Machine learning methods can analyze the gathered data and uncover previously unknown patterns and information. These approaches can also diagnose and notify critical conditions in patients under monitoring. This study implements two s

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Publication Date
Thu Dec 21 2017
Journal Name
International Journal Of Engineering & Technology
Determination of liquefaction potential for two selected sites in Kerbala city- middle of Iraq
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Geotechnical characterization of the sites has been investigated with the collection of borehole data from different sources. Using the data, grain size distribution curves have been developed to understand the particle size distribution of the alluvium present. These curves were further used for preliminary assessment of liquefiable areas. From geotechnical characterization, it has been observed that the soil profile in the two sites is dominated by sand and silty sand.Seed and Idriss (1971) approachhas been usedevaluatethe liquefaction potentialbydeterminationof the relation between the maximum ground acceleration (a max/g) valuesdue to an earthquake and the relative density of a sand deposit in the field. The results reveal that

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Publication Date
Sun Oct 01 2017
Journal Name
13th International Symposium On Fiber-reinforced Polymer Reinforcement For Concrete Structures Frprcs 13
CFRP Repairing System at Openings in Reinforced Concrete T-Beams Cracked by Impact Loads
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Publication Date
Thu Oct 31 2019
Journal Name
Journal Of Theoretical And Applied Information Technology
AN ENHANCED EVOLUTIONARY ALGORITHM WITH LOCAL HEURISTIC APPROACH FOR DETECTING COMMUNITY IN COMPLEX NETWORKS
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Publication Date
Sat May 09 2015
Journal Name
International Journal Of Innovations In Scientific Engineering
USING ARTIFICIAL NEURAL NETWORK TECHNIQUE FOR THE ESTIMATION OF CD CONCENTRATION IN CONTAMINATED SOILS
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The aim of this paper is to design artificial neural network as an alternative accurate tool to estimate concentration of Cadmium in contaminated soils for any depth and time. First, fifty soil samples were harvested from a phytoremediated contaminated site located in Qanat Aljaeesh in Baghdad city in Iraq. Second, a series of measurements were performed on the soil samples. The inputs are the soil depth, the time, and the soil parameters but the output is the concentration of Cu in the soil for depth x and time t. Third, design an ANN and its performance was evaluated using a test data set and then applied to estimate the concentration of Cadmium. The performance of the ANN technique was compared with the traditional laboratory inspecting

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Publication Date
Sun Mar 07 2010
Journal Name
Baghdad Science Journal
Measurement of Alpha Emitters Concentration in Tomato Fruits Using CR – 39 Plastic Track Detector
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Our country suffered from pollution translation as a result to the wars events, so, it is necessary to measure the amount of radiation in the fields that are of indirect contact with human life and health. The main aim of the present work is to measure the concentration of alpha emitters in tomato fruits collected from different farms in Al – Basra governorate in the south of Iraq. Nuclear track detectors of type CR – 39 are used as a detection device and Can technique as a detection technique. Results show that the maximum concentration recorded is sample no.7 of site Al – Rafidhya which was equal to (6.9621 ± 0.111) ppm and sample no.1 of site Lothan with concentration equals to (4.9236 ± 0.117) ppm. The minimum concentratio

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