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The effect of crude alcoholic extracted for the Seeds and Leaves of Apium graveolens Var dulce. In the level of some female hormones in albino Mice.
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The quantitative determination of the estrogen E2, Progestron P4 & follicle stimulating hormones FSH in the serums of Albino mice used in the experiments & treated by crude alcoholic extracted 95% of the seeds & leaves of Apium graveolens was a significant increase in the concentration of estrogen of different kinds of the extracted in comparison with the values of the coefficient of the control group, that is the study recorded a significant increase of the concentration of estrogen; it was the highest in the mice which was administrated by the methanolic extracted 95%, then it was less in the mouse which was administrated by the ethanolic extracted., and it was the least in the mice which were administrated by the crude ethanolic-methanoloic extracted of the seeds of Apium graveolens; while the increase of the concentration of estrogen of different crude alcoholic extracted leaves of Apium graveolens was the highest than the extracted of the seeds, & it was less concentration in the mice which were administrated by the methanolic extracted 95%, & then it was the least in the mice which were administrated by the crude ethanolic-methanolic extracted leaves of Apium graveolens in comparison with the values of the control group. Further, the plant extracted created a significant increase of the concentration of progestron P4; the statistics analysis recorded that the concentration of progestron was the highest in the mice which were administrated by the methanolic extracted 95%, then it was less in the mice which were administrated by the ethanolic extracted 95%, and the least in the mice which were administrated by the crude ethanolic-methanolic extracted of the seeds of apium graveolens whereas, a significant increase of the concentration of progrstrone was recorded in the leaves of Apium graveolens as follows: it was the highest in the mice which were administrated by the ethanolic extracted 95%, then it was less in the mice which were administrated by the crude methanolic extracted 95%, and it was the least in the mice which were administrated by the crude ethnolic-methanolic extracted in comparison with the coefficient of control group. The study also proved that there was a significant increase of the concentration of the follicle stimulating hormone FSH whose greatest concentration in the mice which was administrated by the crude ethanolic-methanolic for the seeds of Apim graveolens, it was less concentration in the mice which was administrated by crude methanolic extracted 95% of the seeds, and it was the least in the mice which was administrated by the methanolic extracted 95% of the leaves of Apium graveolens in comparison with the concentrations of the coefficient of the control group. While, the results recorded a significant decrease of the FSH in the mice which was administrated by the crude ethanolic extracted of the seeds & leaves of Apium graveolens a highest decrease, it was less concentration in the mice which was administrated by the crude ethanolic-methanolic extracted of the leaves of apium graveolens, in comparison with the concentration in the control group.

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Publication Date
Wed Sep 01 2021
Journal Name
Baghdad Science Journal
An Efficient Image Encryption Using a Dynamic, Nonlinear and Secret Diffusion Scheme
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The growing use of tele

This paper presents a new secret diffusion scheme called Round Key Permutation (RKP) based on the nonlinear, dynamic and pseudorandom permutation for encrypting images by block, since images are considered particular data because of their size and their information, which are two-dimensional nature and characterized by high redundancy and strong correlation. Firstly, the permutation table is calculated according to the master key and sub-keys. Secondly, scrambling pixels for each block to be encrypted will be done according the permutation table. Thereafter the AES encryption algorithm is used in the proposed cryptosystem by replacing the linear permutation of ShiftRows step with the nonlinear and secret pe

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Publication Date
Mon Apr 19 2021
Journal Name
Iraqi Journal Of Agricultural Sciences
TETRACYCLINE ANTIBIOTIC REMOVAL FROM AQUEOUS SOLUTION USING CLADOPHORA AND SPIRULINA ALGAE BIOMASS
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Cladophora and Spirulina algae biomass have been used for the removal of Tetracycline (TC) antibiotic from aqueous solution. Different operation conditions were varied in batch process, such as initial antibiotic concentration, different biomass dosage and type, contact time, agitation speed, and initial pH. The result showed that the maximum removal efficiencies by using 1.25 g/100 ml Cladophora and 0.5 g/100 ml Spirulina algae biomass were 95% and 94% respectively. At the optimum experimental condition of temperature 25°C, initial TC concentration 50 mg/l, contact time 2.5hr, agitation speed 200 rpm and pH 6.5. The characterization of Cladophora and Spirulina biomass by Fourier transform infrared (FTIR) indicates that the presenc

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Publication Date
Sat Apr 01 2023
Journal Name
Baghdad Science Journal
Correlation Expression between P52 and BCL2 among Iraqi Women with Breast Carcinoma
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Publication Date
Thu Dec 09 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Algae Bioactive Constituents and Possible Role During COVID-19 Pandemic (A review)
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Nowadays, the use of natural bio-products in pharmaceuticals is gaining popularity as safe alternatives to chemicals and synthetic drugs. Algal products are offering a pure, healthy and sustainable choice for pharmaceutical applications. Algae are photosynthetic microorganisms that can survive in different environmental conditions. Algae have many outstanding properties that make them excellent candidate for use in therapeutics. Algae grow in fresh and marine waters and produce in their cells a wide range of biologically active chemical compounds. These bioactive compounds are offering a great source of highly economic bio-products. The prese
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Publication Date
Sun Sep 15 2019
Journal Name
Al-academy
Consumer Subjective Values and their Reflection on Fashion Design: وسن خليل إبراهيم
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This paper deals with the subjective reflections of consumer values ​​on fashion design. The   consumer self is determined by the consumer's idea of ​​himself, according to the intellectual, spiritual and social values, and these values ​​take their intellectual reflection in the form of material values ​​that the consumer finds in fashion design. These values ​​are based on considerations between what is intellectual represented by the values ​​of the consumer, and what is material determined by the fashion design, which also proceed from values that are visible or implied in costume design, such as the function, beauty and symbol. The   consumer self gets its material image represented in the

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Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
Fast Shot Boundary Detection Based on Separable Moments and Support Vector Machine
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Publication Date
Sun Jun 01 2025
Journal Name
Methodsx
How mathematical models might predict desertification from global warming and dust pollutants
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Publication Date
Tue Aug 01 2017
Journal Name
Journal Of Molecular Structure
Asymmetric 1,3,4-thiadiazole derivatives: Synthesis, characterization and studying their liquid crystalline properties
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Publication Date
Tue Dec 03 2013
Journal Name
Baghdad Science Journal
Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means
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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
Arabic Speech Classification Method Based on Padding and Deep Learning Neural Network
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Deep learning convolution neural network has been widely used to recognize or classify voice. Various techniques have been used together with convolution neural network to prepare voice data before the training process in developing the classification model. However, not all model can produce good classification accuracy as there are many types of voice or speech. Classification of Arabic alphabet pronunciation is a one of the types of voice and accurate pronunciation is required in the learning of the Qur’an reading. Thus, the technique to process the pronunciation and training of the processed data requires specific approach. To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to

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