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Spectrum of central nervous system infections in neurosciences hospital in two years : a retrospective study
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Background :Infectious disorders in general have high morbidity and mortality.. CNS infections include many disorders like bacterial meningitis, tuberculous and other subacute and chronic meningitis, viral meningitis, cerebral abscess, spinal cord infections, and others.
Objective: To assess our locality about prevalence of CNS infections , to have more awareness regarding CNS infections, and to try to find the proper way to reduce their prevalence and to treat them in appropriate way.
Method :We revised the records of all the cases of CNS infections excluding cases of spinal cord infections who were admitted in the wards of neuroscience hospital over the previous two years ( from July/2010 to June 2012 ),those were 132 cases.Seasonal incidenceand other clinical aspects and other parameters like age , sex, , fever are extracted and recorded
Results: The most common CNS infections in sequence from the most to the least were bacterial meningitis, viral encephalitis, tuberculous meningitis, viral meningitis, and cerebral abscess.
The most common age group which is affected by CNS infections was below 10 years.
Males are affected more than females taking in consideration all types of infection.
P values were statistically significant for age, fever, signs of meningeal irritation, focal neurological deficit, and seizures.
Conclusion : The total rate of admission of CNS infections in our series was lower than other study.
The most frequent type of CNS infections was bacterial meningitis which is the same as most of the studies.
Males are affected more than females in our study in all types of CNS infections, this was approximate to other studies except for tuberculous meningitis.
Bacterial meningitis and viral encephalitis were more common in preschool children in our study.
Fever rate in bacterial and tuberculous meningitis was different from other studies.
Seizure rate in bacterial meningitis and viral encephalitis was approximate to other results.
Rate of focal deficit in viral encephalitis and tuberculous meningitis was different from other studies.
Rate of CSF protein elevation in all CNS infections was approximate to other studies.
Rate of hypoglycorrhachia was different from other studies only in tuberculous meningitis.
CSF pleocytosis was approximate to other studies in all types of CNS infections.
The two most common types of CNS infections , bacterial meningitis and viral encephalitis, are more common in preschool age groups.

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Publication Date
Thu Dec 30 2004
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
History of a Two-Phase Bubble Condensing in an immiscible Liquid
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Publication Date
Tue Jan 01 2019
Journal Name
Indian Journal Of Public Health Research & Development
Prevalence of Urinary Tract Infections in Adult and Child Patients
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Publication Date
Thu Jul 22 2021
Journal Name
Open Access Macedonian Journal Of Medical Sciences
Intestinal Parasitic Infections in Relation to COVID-19 in Baghdad City
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BACKGROUND: COVID-19 is resulted from severe acute respiratory syndrome coronavirus 2, which initiated in China in December 2019. Parasites are efficient immune modulators because their ability to stimulate an immune response in infected persons. AIM: This study aims to detect if there is a probable relationship between intestinal parasitic infections and COVID-19. METHODS: Ninety patients consulted at Al-Kindy Teaching Hospital (Al-Shifa center) from October 2020 till April 2021, confirmed infection with COVID-19 by PCR. Stool examination was done for detecting intestinal parasites. RESULTS: From 90 patients, males were 63 (70%), with median age 32 years, while females were 27 (30%), with age 24–44 years. Asymptomatic pati

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Publication Date
Thu Jan 01 2009
Journal Name
2009 Wri International Conference On Communications And Mobile Computing
Optimization of Cooperation Sensing Spectrum Performance
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Cooperation spectrum sensing in cognitive radio networks has an analogy to a distributed decision in wireless sensor networks, where each sensor make local decision and those decision result are reported to a fusion center to give the final decision according to some fusion rules. In this paper the performance of cooperative spectrum sensing examines using new optimization strategy to find optimal weight and threshold curves that enables each secondary user senses the spectrum environment independently according to a floating threshold with respect to his local environment. Our proposed approach depends on proving the convexity of the famous optimization problem in cooperative spectrum sensing that stated maximizing the probability of detec

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Publication Date
Sun Nov 01 2020
Journal Name
The International Journal Of Oral & Maxillofacial Implants
Early Failure Rate and Associated Risk Factors for Dental Implants Placed With and Without Maxillary Sinus Augmentation: A Retrospective Study
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Publication Date
Sun Mar 01 2020
Journal Name
Iraqi Journal Of Physics
Chaotic features of energy spectrum in 68Ge Nucleus Using the Nuclear Shell Model
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   Chaotic features of nuclear energy spectrum in 68Ge nucleus are investigated by nuclear shell model. The energies are calculated through doing shell model calculations employing the OXBASH computer code with effective interaction of F5PVH. The 68Ge nucleus is supposed to have an inert core of 56Ni with 12 nucleons (4 protons and 8 neutrons) move in the f5p-model space ( and ). The nuclear level density of considered classes of states is seen to have a Gaussian form, which is in accord with the prediction of other theoretical studies. The statistical fluctuations of the energy spectrum (the level spacing P(s) and the Dyson-Mehta (or statistics) are well described by the Gaussian orthogonal ens

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Publication Date
Sat Apr 19 2025
Journal Name
Plos One
Early Detection of Autism Spectrum Disorder in Children Using Different Machine Learning Algorithms
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Abstract<p>Autism spectrum disorder(ASD) is a neurological condition marked by impaired communication abilities, social detachment, and repetitive behaviors in individuals. Global health organization facing difficulties in establishing an effective ASD diagnostic system that facilitates precise analysis and early autism prediction. It is a scientific issue that necessitates resolution. This research presents an approach for the early prediction of children with ASD utilizing significant variables through machine learning (ML) methods. Three stages comprise the suggested technique. First, a 1250-case ASD dataset was identified and preprocessed. Five extremely effective traits with high Pearson c</p> ... Show More
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Publication Date
Mon Jan 01 2024
Journal Name
Anais Da Academia Brasileira De Ciências
Morphological study for Accipitrid birds (Accipitridforms, Accipitridae) in Iraq; part two
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Publication Date
Sun Sep 07 2008
Journal Name
Baghdad Science Journal
Detection of Pseudomonas aeruginosa in Hospital Contamination
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The Present investigation includes the isolation and identification of Pseudomonas aeruginosa for different cases of hospital contamination from 1/ 6/2003 to 30/9/2004, the identification of bacteria depended on morphological , cultural and biochemical characters, 37 of isolates were diagnosed from 70 smears from wounds and burns beside 25 isolates were identified from 200 smears taken from operation theater and hospital wards including the floors , walls , sources of light and operation equipment the sensitivity of all isolates to antibiotic were done , which exhibited complete sensitivity to Ciprofloxacin , Ceftraixon, Tobromycin and Gentamysin ,while they were complete resist to Amoxcillin , Tetracyclin , Nitrofurantion , Clindamycin C

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Publication Date
Tue Feb 01 2022
Journal Name
Baghdad Science Journal
Application of Groebner Bases to Study a Communication System
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This paper introduces a relationship between the independence of polynomials associated with the links of the network, and the Jacobian determinant of these polynomials. Also, it presents a way to simplify a given communication network through an algorithm that splits the network into subnets and reintegrates them into a network that is a general representation or model of the studied network. This model is also represented through a combination of polynomial equations and uses Groebner bases to reach a new simplified network equivalent to the given network, which may make studying the ability to solve the problem of network coding less expensive and much easier.

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