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bsj-1327
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
Tue Jun 09 2020
Journal Name
Article In Journal Of Engineering Science And Technology
English Numbers Recognition Based on Sign Language Using Line-Slope Features and PSO-DBN Optimization Method
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Publication Date
Mon Jun 30 2025
Journal Name
Modern Sport
Visual Tracking and its Relationship to Dynamic Visual Acuity Among National Youth Foil Fencing Team Athletes
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Publication Date
Sun Aug 01 2021
Journal Name
Journal Of Physics: Conference Series
EEG Motor-Imagery BCI System Based on Maximum Overlap Discrete Wavelet Transform (MODWT) and cubic SVM
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Abstract<p>Communication of the human brain with the surroundings became reality by using Brain- Computer Interface (BCI) based mechanism. Electroencephalography (EEG) being the non-invasive method has become popular for interaction with the brain. Traditionally, the devices were used for clinical applications to detect various brain diseases but with the advancement in technologies, companies like Emotiv, NeuoSky are coming up with low cost, easily portable EEG based consumer graded devices that can be used in various application domains like gaming, education etc as these devices are comfortable to wear also. This paper reviews the fields where the EEG has shown its impact and the way it has p</p> ... Show More
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Publication Date
Sun May 01 2022
Journal Name
Optical Fiber Technology
Optical fiber sensor network integrating SAC-OCDMA and cladding modified optical fiber sensors coated with nanomaterial
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Publication Date
Fri Oct 20 2023
Journal Name
Bmc Endocrine Disorders
Dietary caffeine intake is associated with favorable metabolic profile among apparently healthy overweight and obese individuals
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Abstract<sec> <title>Background

Recent studies have revealed some conflicting results about the health effects of caffeine. These studies are inconsistent in terms of design and population and source of consumed caffeine. In the current study, we aimed to evaluate the possible health effects of dietary caffeine intake among overweight and obese individuals.

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In this cross-sectional study, 488 apparently healthy individuals with overweight and obesity were participated. Dietary intake was assessed by a Food Frequency Questionnaire (FFQ) and

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Publication Date
Thu Sep 01 2022
Journal Name
Iraqi Journal Of Physics
Producing Hydrogen Energy Using Cr2O3-TNFs Nanocomposite with Animal (Chitosan) Extract via Ultrasonic and Hydrothermal Techniques
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In this study, an efficient photocatalyst for dissociation of water was prepared and studied. The chromium oxide (Cr2O3) with Titanium dioxide (TiO2) nanofibers (Cr2O3-TNFs) nanocomposite with (chitosan extract) were synthesized using ecologically friendly methods such as ultrasonic and hydrothermal techniques; such TiO2 exhibits nanofibers (TNFs) shape struct

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Publication Date
Tue Nov 01 2016
Journal Name
Renewable And Sustainable Energy Reviews
Dye-sensitised solar cells: Development, structure, operation principles, electron kinetics, characterisation, synthesis materials and natural photosensitisers
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Publication Date
Sun Mar 30 2025
Journal Name
Mustansiriyah Journal Of Pure And Applied Sciences
Secure E-voting authentication system employing biometric technology, Crypto-Watermarking Approach and blockchain technology: A Review
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Moderately, advanced national election technologies have improved political systems. As electronic voting (e-voting) systems advance, security threats like impersonation, ballot tampering, and result manipulation increase. These challenges are addressed through a review covering biometric authentication, watermarking, and blockchain technologies, each of which plays a crucial role in improving the security of e-voting systems. More precisely, the biometric authentication is being examined due to its ability in identify the voters and reducing the risks of impersonation. The study also explores the blockchain technology to decentralize the elections, enhance the transparency and ensure the prevention of any unauthorized alteration or

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Publication Date
Sat Mar 21 2026
Journal Name
Bulletin Of Engineering Geology And The Environment
Geotechnical heterogeneity assessment using MASW and ERT: a case study from Al Maktoum airport, Dubai, UAE
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Publication Date
Mon Mar 30 2026
Journal Name
Iraqi Journal Of Science
A modified time series model using conditional and unconditional estimations with applications to a real dataset
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Modern statistical techniques offer a range of methodologies for modelling time series data, with conditional and unconditional approaches providing complementary insights that enhance overall model accuracy. This article introduced a modified ARIMA model employing conditional and unconditional parameter estimates. The methodology for the new model based on novel methods is provided. The prediction process, one and two steps ahead, is covered in detail, and a novel algorithm is presented. The best model is picked based on various measurement criteria, such as coefficient of determination (R2), root mean squared error (RMSE), and mean absolute scaled error (MASE). The suggested model is applied to a monthly petrol sales dataset (Jan

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