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QUALITATIVE PHYTOCHEMICAL COMPARISON BETWEEN FLAVONOIDS AND PHENOLIC ACIDS CONTENTS OF LEAVES AND FRUITS OF MELIA AZEDARACH (FAMILY: MELIACEAE) CULTIVATED IN IRAQ BY HPLC AND HPTLC
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<p><strong>Objective: </strong>The aim of our study was to compare between flavonoids and phenolic acids contents of leaves and fruits of <em>Melia azedarach</em> since no phytochemical investigation had done previously in Iraq.</p><p><strong>Methods: </strong>The leaves and fruits of <em>Melia azedarach </em>were extracted by soxhlet using 80% ethanol then the dried extract was suspended in water and fractionated using petroleum ether, chloroform, ethyl acetate, and n-butanol. The n-butanol fraction was hydrolyzed by acid and partitioned with ethyl acetate. The different fractions containing flavonoids and phenolic acids were analyzed by HPLC and HPTLC.</p><p><strong>Results: </strong>The HPLC results revealed the presence catechin-7-O-glycoside in fruit only, while kaempferol-7-O-glycoside is found in the leaves only. Catechin and its glycosides are more abundant in the fruits than in the leaves. The HPTLC results revealed that kaempferol and quercetin are present in all fractions of leaves and fruits as aglycones and as glycosides. Free chlorogenic was found in both leaves and fruits<strong>.</strong></p><p><strong>Conclusion: </strong>No major differences were found between the flavonoids and phenolic acids contents of the leaves and fruits of <em>Melia azedarach.</em></p>

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Sun Mar 13 2016
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Iraqi Journal Of Market Research And Consumer Protection
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Publication Date
Wed Jan 01 2020
Journal Name
Periodicals Of Engineering And Natural Sciences
Comparison between the estimated of nonparametric methods by using the methodology of quantile regression models
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This paper study two stratified quantile regression models of the marginal and the conditional varieties. We estimate the quantile functions of these models by using two nonparametric methods of smoothing spline (B-spline) and kernel regression (Nadaraya-Watson). The estimates can be obtained by solve nonparametric quantile regression problem which means minimizing the quantile regression objective functions and using the approach of varying coefficient models. The main goal is discussing the comparison between the estimators of the two nonparametric methods and adopting the best one between them

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Publication Date
Wed Feb 20 2019
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Iraqi Journal Of Physics
A comparison between PCA and some enhancement filters for denoising astronomical images
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This paper includes a comparison between denoising techniques by using statistical approach, principal component analysis with local pixel grouping (PCA-LPG), this procedure is iterated second time to further improve the denoising performance, and other enhancement filters were used. Like adaptive Wiener low pass-filter to a grayscale image that has been degraded by constant power additive noise, based on statistics estimated from a local neighborhood of each pixel. Performs Median filter of the input noisy image, each output pixel contains the Median value in the M-by-N neighborhood around the corresponding pixel in the input image, Gaussian low pass-filter and Order-statistic filter also be used.

Experimental results shows LPG-

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Tue Jan 01 2013
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Iraqi Journal Of Physics
A comparison between PCA and some enhancement filters for denoising astronomical images
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Wed May 24 2017
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Publication Date
Tue Mar 24 2009
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Proceeding Of 3rd Scientific Conference Of The College Of Science, University Of Baghdad.
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Publication Date
Sat Jun 07 2025
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A Comparison between the Horizontal Condylar and Bennett Angles of Iraqi Full Mouth Rehabilitation Patients by Using Two Different Articulator Systems (An In-Vivo Study)
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Publication Date
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