ABSTRACT: As more due to the obvious quickening pace of the digital transformation revolution, information and cyber security are

becoming major challenges in industries like banking, telecommunications, and energy. As a branch of cyber security,

network security is concerned with organizing and putting into practice safeguards against software and network hacking and illegal access. To guarantee security, the CIA security tried confidentiality, integrity, and availability must exist. Malicious actors frequently exploit distributed denial of service (DDoS) attacks to compromise availability. When it comes to DDoS detection and prevention, open-source software is thought to be the most economical option. The purpose of this study is to investigate the efficacy and potential of open-source DDoS detection and prevention techniques. To ascertain the best open-source solution, how to launch attacks, and how to measure system performance metrics like CPU, RAM usage, packet loss, and delay, an experimental testbed was set up and assessed. Because PfSense firewall includes widely used intrusion detection/prevention systems (IDS, IPS) packages (such as Snort and Suricata), they are deployed to verify the system performance.

This study aims to evaluate the performance of a simple cycle gas turbine power plant by analysing the effect of different operating parameters. These operating parameters include compressor pressure ratio and compressor & turbine isentropic efficiencies. The study quantitatively assesses the exergetic efficiency and the exergy destruction of each unit in the cycle, as well as the power used or produced by the cycle. Any change in these parameters can significantly impact the power plant's overall performance through a specific unit in the cycle. For instance, increasing the compressor pressure ratio can reduce the temperature difference across the combustor, lessening the exergy destruction and improving the cycle’s overall performance. However, any decline in the compressor or the turbine isentropic efficiency results in an increase in the exergy destruction of the affected unit and can result in a decrease in the overall cycle performance. This is due to either an increase in power required by the compressor or a decrease in power produced by the turbine. The analysis suggests that the turbine isentropic efficiency has a greater impact on the net power generated than the compressor isentropic efficiency. Additionally, the turbine inlet temperature is a dependent variable as operating at different compressor pressure ratios and compressor isentropic efficiencies lead to varying turbine inlet temperatures. Therefore, increasing the turbine inlet temperature does not always lead to improved performance.

This paper presents the development of an advanced system designed to efficiently process Arabic queries in today’s data-driven landscape. By using the T5 sequence-to-sequence model developed by Google and fine-tuning it specifically for transforming textual and verbal input into SQL queries, the system becomes adept at accurately comprehending and interpreting Arabic queries.

The resulting system serves as a user-friendly tool that automates the generation of SQL queries. Users can input their queries in written or recorded Arabic utterances, eliminating the need for manual translation and query construction.

This involved fine-tuning T5 models on a SQL dataset, splitting the dataset, tokenizing it, and setting training parameters. The implementation phase included loading the fine-tuned model, which incorporated PICARD to generate valid queries effectively. This paper also explores the impact of Arabic translation on the performance and accuracy of the model.

The optimal testing on test set accuracy achieved was 63.11%, the real-world testing accuracy: T5-base without PICARD scored 56.96% and 51.36% on English and Arabic questions, respectively, while T5-large with PIARCD scored 77.74% and 70.34% on English and Arabic questions.

Abstract :

Antibody tests can identify people with a resolving or past severe acute respiratory syndrome coronavirus 2 infection and thereby help researchers and public health experts better understand the epidemiology of severe acute respiratory syndrome coronavirus 2. This study is a retrospective study that included 187 Libyan individuals, who attended Attshkhesy (the diagnostic) laboratory in Alkhoms City, Libya, between January 01, 2021, and August 28, 2021. The mean ages of males and females were 48.8 and 46.8, respectively. The study utilized the CLIA quantitative antibody test. To perform the CLIA quantitative antibody test, a high throughput assay apparatus known as the YHLO - iFlash 1800 Chemiluminescence Immunoassay Analyzer was utilized, along with assay reagents called iFlash-SARS-CoV-2 IgM/IgG (manufactured by YHLO Biotech, Shenzhen, China). In female subjects, the concentration of severe acute respiratory syndrome coronavirus 2 IgM was higher than that of IgG in all age groups. Interestingly, in male subjects, the results showed the opposite, where the concentration of severe acute respiratory syndrome coronavirus-2 IgG was much higher than that of IgM in all age groups. When male data were plotted against the female data, the concentration of severe acute respiratory syndrome coronavirus 2 IgM in females was much higher than that of IgM in males in all age groups. Merged IgM-male and IgM-female results showed that IgM concentrations were higher in females than males at all age groups, which means that the incidence of recent COVID-19 infection was higher in females than in males. On the other hand, the IgG antibody prevalence in females was always higher than in males except at age groups 41-50 years and 51-60 years, which can be used as an indicator of high acquired immunity among females due to possible reinfection of females with COVID-19 virus.

L'introduction de cet essai cherche à montrer l'importance croissante de la langue française en Libye, qui se retrouve au centre d'interactions culturelles et économiques dans le pays. L'influence passée et coloniale de la France a laissé une marque importante sur les relations entre les deux pays et sur le système éducatif libyen. Ainsi, savoir parler français devient un enjeu majeur pour les Libyens, que ce soit pour trouver des emplois ou pour mieux comprendre les cultures qui parlent français. Dans un monde de plus en plus interconnecté, le français n'est pas seulement un outil de communication, mais aussi une porte qui s'ouvre vers de nouvelles opportunités, académiques et sociales. L'image montre cette dynamique à travers une étude de la production académique qui soutient l'enseignement du français en Libye, mettant en lumière les défis actuels de cette compétence linguistique.