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.
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
... Show MoreModern 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
... Show MoreData scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for
في السنوات الأخيرة، أدى التقدم التكنولوجي في إنترنت الأشياء (IoT) وأجهزة الاستشعار الذكية إلى فتح اتجاهات جديدة وإعطاء حلول عملية في مختلف قطاعات الحياة. يتم التعرف على إنترنت الأشياء كتنولوجيا حديثة تربط بين مختلف انواع الشبكات. تم تحسين أنواع مختلفة من قطاعات الرعاية الصحية في المجال الطبي بناءً على هذه التكنولوجيا. أحد هذه القطاعات الهامة هو نظام مراقبة الصحة (HMS). تعتبر مراقبة المريض عن بعد لاسلكيًا وبت
... Show MoreSeawater might serve as a fresh‐water supply for future generations to help meet the growing need for clean drinking water. Desalination and waste management using newer and more energy intensive processes are not viable options in the long term. Thus, an integrated and sustainable strategy is required to accomplish cost‐effective desalination via wastewater treatment. A microbial desalination cell (MDC) is a new technology that can treat wastewater, desalinate saltwater, and produce green energy simultaneously. Bio‐electrochemical oxidation of wastewater organics creates power using this method. Desalination and the creation of value‐added by‐products are expected because of this ionic mov
Wearable sensors are a revolutionary tool in agriculture because they collect accurate data on plant environmental conditions that affect plant growth in real-time. Moreover, this technology is crucial in increasing agricultural sustainability and productivity by improving irrigation strategies and water resource management. This review examines the role of wearable sensors in measuring plant water content, leaf and air humidity, stem flow, plant and air temperature, light, and soil moisture sensors. Wearable sensors are designed to monitor various plant physiological parameters in real-time. These data, obtained through wearable sensors, provide information on plant water use and physiology, making our agricultural choices more informed an
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