Despite the critical demand for advanced English proficiency in Libyan 

higher education, primary public schools, particularly in rural areas, have 

been neglected. This qualitative study investigates the imperative for 

implementing improved methodologies in Teaching English as a Foreign 

Language (EFL) in Libyan primary public schools, using the post-conflict 

rural municipality of Al Gwaleesh as a case study. Data were collected by 

questionnaires and classroom observations from ten teachers and ten third

year pupils. The findings reveal a systemic reliance on traditional Grammar

Translation Methods, a stark deficiency of resources (including basic 

teaching aids and ICT), and minimal student engagement. Teachers 

demonstrated limited application of Communicative Language Teaching 

(CLT) principles, focusing predominantly on rote memorization and written 

exercises. Consequently, pupils reported low motivation and a failure to 

grasp the language's practical utility. The study concludes that a 

fundamental overhaul of EFL pedagogy in Libya is urgently required, 

recommending the integration of audio-visual aids, activity-based learning, 

and 

strategic 

incorporation 

of 

Information and Communication 

Technologies (ICTs) to foster intrinsic motivation and build a sustainable 

foundation for English proficiency.

Background and objective :Helicobacter pylori [H.pylori] infection is one of the most common chronic bacterial infections worldwide especially in the developing countries. This bacterium is the cause of many diseases such as MALT lymphoma, gastritis, peptic ulcers, and stomach cancer. According to recent reports, H.pylori infection may increase the risk of colorectal cancer. The current study aimed at investigating the association of H. pylori infection and the risk of colorectal cancer and adenomatous polyps. Methods: The current study was conducted on 52 patients with colon cancer as the case group and 200 subjects without pathological finding (i e, polyps, neoplasms, or inflammatory diseases) as the control group. Blood samples were collected from the patients in order to assess the presence of anti-H. pylori infection antibodies by the serum titer levels of anti-H. pylori IgG antibodies were measured using enzyme-linked immunosorbent assay (ELISA) with commercial kit by (Dia.Pro Diagnostic Bioprobes-Italy). Results: This study demonstrates distinct associations between H.pylori infection markers and CRC risk. While IgG seropositivity showed a significant 2.16-fold increased CRC risk (p = 0.019). Conclusion: This research finding IgG seropositivity may serve as a broader risk marker.

This study focused on documenting flowering plant species in Wadi Al-Yaquib in Gharyan City . The plants were collected between March and May 2024 , dtied, and transferred to the herbarium for classification, During field visits,42 plant species were collected and classified, belonging to 40 genera distributed across 21 families. Of these, and 34 genera were classified under 34 dicotyledonous species, represnting 85 % of the total, and distributed across 18 families, Also 6 genera were classified under speceis of monocotyledonous plants, These species reprsent a percentage of 15% distributed over a number of three plant families, The analysis of flora in relation to the total number of species and genera belonging to each family revealed that the family. Astraceae was the largest family in class dicotyledonus opsida As a comparsion between the current study and the previous studies, this study drew attention to a plant species potentially endangered due to environmental pressures and overgrazing.

This study presents a comprehensive empirical comparison between Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) for multi-domain Arabic text classification. A curated dataset covering seven categories was used for evaluation. The experimental results demonstrate that LSTM-based RNN models significantly outperform CNN architectures, achieving 98% accuracy. The findings highlight the importance of sequential modeling for handling the morphological and syntactic complexity of the Arabic language.