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Antinociceptive Effect of Silymarin in Experimental Animals
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Background: Silymarin is a polyphenolic flavonoid
derived from milk thistle (Silybum marianum) that has
anti-inflammatory, cytoprotective, anticarcinogenic
and antioxidant effects. It has been used medicinally
to treat liver disorders including acute and chronic
viral hepatitis, toxin/drug induced hepatitis, and
alcoholic liver disease.
Objective: To evaluate the antinociceptive effect of
silymarin in experimental animal model of pain.
Methods: The efficacy and dose response effect of
silymarin (125, 250, and 500mg/kg) were assessed
against control using tail flick test in mice as a model
of nociceptive pain. In this model, all doses of
silymarin were given intraperitoneally 15 min before
immersion of tail in hot water 50°C, and Tail Flick
Latency was measured before, and after (15, 30, 60
and 120 min) administration of silymarin.
Result: Silymarin in 250 and 500mg/kg
significantly increase Tail Flick Latency after 15, 30,
60 and 120 min in a dose dependent manner that the
maximum effect seen after 120 min compared to
baseline value.
Conclusion: Silymarin as a herbal drug produce a
significant antinociceptive effect in experimental
animal model of pain, and beside its better
standardization, quality control, and safety profile, in
addition to its availability and relative low cost,
represent a good alternative choice for management of
pain.

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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
Effect of frequency Chirp on the black and gray solitions
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the behavior of the first-order black and gray solitons propagtedin optical fiber in the presence of frequency chirp is studied analytically and numerically results show that phase profile of black solitons changes abruptly

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Publication Date
Wed Mar 15 2023
Journal Name
Bionatura
Effect of traditional and automated sorting on some tomato's properties
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This study was conducted in a laboratory experiment at the University of Baghdad, College of Science, computing Department, 5 km from the center of Baghdad city, in 2021 to evaluate the sorting method for the tomato crop. The experiments were conducted in a factorial experiment under a complete randomized design with three replications and using SAS analysis, artificial neural network, image processing, the study of external characteristics, and physical features; fruit surface area and fruit circumference were 1334.46 cm2,57.53 cm2 and free diseases. The error value was less than zero, while training with outputs recorded the highest value and which was 5. The neural network's performance between the input and the mean square of th

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Publication Date
Thu Jun 30 2022
Journal Name
Anbar Journal Of Agricultural Sciences
THE EFFECT OF PESTICIDES ON THE ENVIRONMENT AND LIVING ORGANISMS
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The current report dealt with the effect of pesticides on the ecosystem through their impact on soil, water, and microorganisms and their impact on human health. As well as this study dealt with the biodegradation process of pesticides and the organisms involved in this process, even some previous studies proved that Bacillus spp. And Pseudomonas sp. Bacteria is the most efficient in the biodegradation of pesticides, at the same time, other previous studies dealt with the environmental factors that affect the biodegradation process of pesticides. It proved that each of the incubation periods, pH, and temperature have different effects on biodegradation. Most of the studies indicated that the best incubation period for biodegradation is 7-8

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Publication Date
Sun Jan 10 2016
Journal Name
British Journal Of Applied Science & Technology
The Effect of Classification Methods on Facial Emotion Recognition ‎Accuracy
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The interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm

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Publication Date
Tue May 01 2018
Journal Name
Journal Of Physics: Conference Series
Doping And Annealing Effect On Evaporation Of ZnO Thin Films
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Publication Date
Mon Oct 01 2012
Journal Name
Iraqi Journal Of Physics
The antibacterial effect of silver nanoparticles on some bacterial pathogens
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Nanoparticles are a special group of materials with unique features and extensive applications in diverse fields. The use of nanoparticles of some metals is a viable solution to stop infectious diseases due to the antimicrobial properties of these nanoparticles. The present work demonstrates the effect of silver nanoparticles (AgNPs) on the antibacterial activity of four different antibiotics (amoxicillin, ceftriaxone, chloramphenicol, and penicillin) against eleven Gram-positive and Gram-negative isolates. Disk diffusion method was used to determine the antibacterial activity of various classes of antibiotics in the absence and presence of sub-inhibitory silver nanoparticles of concentration (80 microgram/ml). A synergistic effect was o

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Publication Date
Sun Dec 01 2002
Journal Name
Iraqi Journal Of Physics
Effect of the electric field on drilling Brass by Laser
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The research include a pulsed Nd: YAG Laser with (300µs) pulse duration in the TEM00 mode at (1.06µm) wavelength for energies between (0.5-3) J was employed to drill Brass material which is use in industrial applications. The process of drill was assisted by an electric field. This resulted in an increase in the hole aspect ratio by the value (45%) and decrease in the hole taper by the value (25%) of its value under ordinary drilling conditions using the same input energy.

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Publication Date
Sun Jan 13 2019
Journal Name
Iraqi Journal Of Physics
Porous Silicon effect on the performance of CdS nanoparticles photodetector
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Cadmium sulfide photodetector was fabricated. The CdS nano
powder has been prepared by a chemical method and deposited as a
thin film on both silicon and porous p- type silicon substrates by spin
coating technique. Structural, morphological, optical and electrical
properties of the prepared CdS nano powder are studied. The X-ray
analysis shows that the obtained powder is CdS with predominantly
hexagonal phase. The Hall measurements show that the nano powder
is n-type with carrier concentration of about (-5.4×1010) cm-3. The
response time of fabricated detector was measured by illuminating
the sample with visible radiation and its value was 5.25 msec. The
specific detectivity of the fabricated det

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Publication Date
Thu Mar 30 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
The Inhibitory Effect of Gallic Acid on Human Serum Cholinesterase
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The dried fruit peel of pomegranate in Punicaceae family was fractionated chromatographically on Sephadex-LH-20 column .Gallic acid (trihydroxybenzoic acid) and its related galloyl esters such as gallotannin(i.e. β-penta-O-galloyl–D-glucose) were obtained homogenously. Different concentrations of gallic acid and gallotannin  were used to determine their inhibitory effect on human serum cholinesterase. The enzyme activity was measured according to the method reported by the WHO .The inhibitory effect of these compounds  on the activity of human serum cholinesterase have been studied in vitro .The inhibitory effect was remarkably clear with increasing concentration of gallic acid .Whereas galloyl ester showed n

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Publication Date
Tue Jan 01 2013
Journal Name
Iraqi Journal Of Science
Effect of LPS Extracted from Campylobacter coli on Lymphocyte Transformation
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