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Evaluate the Protective Effect of Lactobacillus against Collateral Damage Induced by Ciprofloxacin and Levofloxacin in Iraqi Patients
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Abstract:                                                                                                                Fluoroquinolones drugs are an important class of wide spectrum antibacterial agents, and active against a wide range of Gram-negative and Gram-positive pathogens, are divided into four generations. Collateral damage is a term used to refer to ecological adverse effects of antibiotic therapy, occurring as drug-resistant organisms and the unwanted development of colonization or infection with multidrug-resistant organisms. This damage is mostly related to levofloxacin and Ciprofloxacin.

 Aim: The aim of the current study was to compare the incidence of collateral damage between two quinolone antibiotic derivatives (ciprofloxacin and Levofloxacin) and evaluate the activity of lactobacillus to reduce the collateral damage. Patients and Methods: This study was carried out on 100 patients. Administration of ciprofloxacin, levofloxacin each alone or in combination with lactobacillus, the character of diarrhea and grade of diarrhea was studied before and after 10 days of administration each dosing protocol. Results: there are a significant increase in the incidence of diarrhea for all groups when compare between before and after treatment diarrhea, Number of patients with diarrhea in group 1 after finish the treatment was not significantly higher when compared with group 2 (p>0.05) meanwhile number of patients with diarrhea in group 4 after finish the treatment was significantly lower when compared with group 3 (p>0.05). Conclusion; The use of ciprofloxacin and levofloxacin associated with incidence of collateral damage represented as diarrhea and levofloxacin is the least risk of this damage, and using of lactobacillus with levofloxacin was better results than the other three groups.     

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Publication Date
Mon May 11 2020
Journal Name
Baghdad Science Journal
Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data
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         The issue of penalized regression model has received considerable critical attention to variable selection. It plays an essential role in dealing with high dimensional data. Arctangent denoted by the Atan penalty has been used in both estimation and variable selection as an efficient method recently. However, the Atan penalty is very sensitive to outliers in response to variables or heavy-tailed error distribution. While the least absolute deviation is a good method to get robustness in regression estimation. The specific objective of this research is to propose a robust Atan estimator from combining these two ideas at once. Simulation experiments and real data applications show that the proposed LAD-Atan estimator

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Publication Date
Tue Jan 08 2013
Journal Name
Arabian Journal Of Geosciences
Petroleum geochemistry of oil samples from shallow boreholes at Sakran site, western Iraq
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Publication Date
Wed Feb 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering
Classification of COVID-19 from CT chest images using Convolutional Wavelet Neural Network
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<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

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Publication Date
Wed Jul 06 2022
Journal Name
International Journal Of Biomaterials
Extracellular Enzyme of Endophytic Fungi Isolated from Ziziphus spina Leaves as Medicinal Plant
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Endophytic fungi live inside plants or any part of them without creating any visible pathogenic signs. Endophytic fungi are found within medicinal plants and have shown strong biologic activity, such as anticancer and antioxidant activities, as well as producing extracellular enzymes. In this study, different fungal strains were isolated from the leaves of the medicinal plant Ziziphus spina, including Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, Cladosporium sp., Rhizopus sp., and Mucor sp. Extracellular enzymes have been quantified using agar plate-based methods in which fungi were grown in specified growth media to detect the enzymes produced. The results showed that A. niger has the highest ability to produce amy

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Publication Date
Fri Dec 26 2025
Journal Name
Mustansiriya Medical Journal
Dermatological Diseases among children Attending Al-Yarmouk Teaching Hospital-Outpatient Department of Dermatology
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Publication Date
Thu Feb 13 2020
Journal Name
Thesis
IMPLICATION OF GEOMECHANICAL EVALUATION ON TIGHT RESERVOIR DEVELOPMENT / SADI RESERVOIR HALFAYA OIL FIELD
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IMPLICATION OF GEOMECHANICAL EVALUATION ON TIGHT RESERVOIR DEVELOPMENT / SADI RESERVOIR HALFAYA OIL FIELD

Publication Date
Sat Jan 01 2011
Journal Name
Journal Of Engineering
TREATMENT OF A HIGH STRENGTH ACIDIC INDUSTRIAL CHEMICAL WASTEWATER USING EXPANDED BED ADSORBER
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Treatment of a high strength acidic industrial wastewater was attempted by activated carbon
adsorption to evaluate the feasibility of yielding effluents of reusable qualities. The experimental
methods which were employed in this investigation included batch and column studies. The
former was used to evaluate the rate and equilibrium of carbon adsorption, while the latter was
used to determine treatment efficiencies and performance characteristics. Fixed bed and expanded
bed adsorbers were constructed in the column studies. In this study, the adsorption behavior of acetic acid onto activated carbon was examined as a function of the concentration of the adsorbate, contact time and adsorbent dosage. The adsorption data was mo

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Publication Date
Fri Mar 31 2017
Journal Name
Al-khwarizmi Engineering Journal
Antibacterial Activity of Electrospun Silver Nitrate /Nylon 6 Polymeric Nanofiber Water Filtration Mats
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Bacterial water pollution is a genuine general wellbeing concern since it causes various maladies. Antimicrobial nanofibers can be integrated by incorporating nanobiocides, for example, silver nanoparticles into nanofibers. Nylon 6 was dissolved in formic acid at a concentration of (25 wt. %) and tough antibacterial (AgNO3/Nylon) nanofibers were produced utilizing electrospinning system. Polymer solution was tested before accomplishing electrospinning process to acquire its surface tension, electric conductivity and viscosity, where every one of those parameters increased relatively with increasing concentration of (AgNO3) additions. SEM and EDX spectra were utilized to focus on the morphology, surface elemental mem

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Publication Date
Sat Jan 01 2022
Journal Name
International Journal Of Nonlinear Analysis And Applications
A general solution of some linear partial differential equations via two integral transforms
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In this paper, a new analytical method is introduced to find the general solution of linear partial differential equations. In this method, each Laplace transform (LT) and Sumudu transform (ST) is used independently along with canonical coordinates. The strength of this method is that it is easy to implement and does not require initial conditions.

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Publication Date
Wed Jan 01 2020
Journal Name
Technologies And Materials For Renewable Energy, Environment And Sustainability: Tmrees20
Opto- electrical properties of p-SnSe:S/N-Si heterojunction for solar cell application
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