Abstract INTRODUCTION: Dental caries is a major global issue that has been connected to a number of systemic issues, necessitating multidisciplinary investigation. Examining dental degradation in conjunction with Helicobacter pylori infection provides a unique perspective on gut and oral health in Tripoli, Libya. Previously linked to peptic ulcers and chronic gastritis, H. pylori has recently been linked to tooth health. This change in viewpoint is crucial because there was no discernible link between the infection and chronic illnesses like diabetes, hypertension, or even smoking, indicating the necessity for measures to raise awareness of good oral hygiene among afflicted individuals. The prevalence of H. pylori was clearly linked to declining dental health when examining Decayed, Missing, and Filled Teeth (DMFT) scores; this relationship was particularly evident in older participants and those with poor oral hygiene. METHODS AND MATERIALS: a cross-sectional design was used, 135 randomly selected participants to ensure that our sample was representative of the local community. Following a thorough review of each patient's medical history, which included chronic conditions, socioeconomic status, and dental hygiene practices, a dentist qualified to perform this type of evaluation examined each patient for evidence of decay using well-known metrics such as the Decayed, Missing, and Filled Teeth (DMFT) score. Based on previous research, serological tests (detection of H. pylori antibodies) were performed to determine the presence of H. pylori in order to minimize discomfort and avoid the bias that occasionally arises with more intrusive gut collection methods. THE AIM: of this study is to provide a significant contribution to the present literature with genuine potential to influence public health policies and dental care programs targeted at reducing health inequities in the region, provided that the study is carefully planned and some innovative data management is done. RESULTS: This result essentially shows that additional interdisciplinary research is required to adequately map out the cause-and-effect relationship between H. pylori and dental caries. Curiously, it also supports previous research that suggested this bacterium might contribute to oral disorders, supporting the notion that a comprehensive, multimodal strategy is required to address oral and general health concerns. By lowering the rate of dental decay, local, community-driven initiatives to enhance oral hygiene may hold the key to minimizing the effects of H. pylori. The study emphasizes that reducing the disparities in oral health observed in Tripoli may depend on making dental treatment more accessible, particularly for those from lower-income backgrounds. Conclusion: An infection with Helicobacter pylori is substantially linked to a higher prevalence of dental caries. Both dental decay and H. pylori infection are significantly influenced by age, with poorer oral health being seen in older people. Infrequent dental checkups and poor oral hygiene are two factors that raise the DMFT index. People with diabetes, high blood pressure, and acidity have far worse tooth health. Dental caries is significantly influenced by economic level, with slightly worse outcomes for those with greater incomes. The DMFT score and H. pylori prevalence do not seem to be significantly impacted by smoking or gender. This study confirms our presumptions between H. pylori and dental cavities while highlighting the critical necessity for integrated healthcare systems. Keywords: Dental Caries, Helicobacter Pylori, Gastritis, Tripoli, Libya.

Abstract:

The present study concentrated on samples of Libyan dates procured from the markets in Gharyan City. A series of qualitative analyses were conducted in order to assess the content of their active ingredient, with a particular focus on antioxidants. The qualitative identification of tannins, flavonoids, glycosides, saponins, and resins (utilised as tanning agents) was conducted utilising standard reagents such as Dragendorff's, Fehling's, and Benedict's, in conjunction with date extracts. The analyses confirmed the presence of all these compounds in the samples. Furthermore, quantitative assessments of the fundamental components of the date samples were conducted. The procedure entailed the quantification of fibre, carbohydrates, protein, fat, and ash content. Furthermore, the moisture content and the ratio of pits to fruit were evaluated in all samples. The assessment employed a kiln, a Kjeldahl apparatus, and other requisite equipment to determine the caloric values of each sample. The findings indicated variations in the fundamental components and energy content among the samples, likely attributable to various factors and conditions.

Keywords: Dates, antioxidants, free radicals, plant active ingredients

This study presents a quantitative descriptive analysis comparing the performance of human simultaneous interpreters (H-SI) and AI-driven interpreting systems (AI-SI) using deep learning architectures specifically Transformer-based models (e.g., mBART, Wav2Vec 2.0 + NMT pipelines) in real-time multilingual contexts. Drawing on a corpus of 1,248 interpreted segments extracted from TED Talks (English–Spanish, English–Mandarin), we evaluate output quality across six empirically derived metrics: lexical accuracy, syntactic fluency, temporal alignment, semantic fidelity, discourse cohesion, and error density. Data were collected from 30 professional human interpreters and three state-of-the-art AI systems (Google Translate Live, DeepL Pro, and a fine-tuned mBART-50 model). Statistical analyses (descriptive statistics, Mann-Whitney U tests, and Kruskal-Wallis H tests) reveal that while AI-SI outperforms H-SI in lexical accuracy (M = 92.4%, SD = 3.1) and temporal alignment (M = 0.87s lag, SD = 0.21), human interpreters demonstrate significantly superior performance in semantic fidelity (M = 86.7% as well as. 71.3%, p < .001) and discourse cohesion (M = 84.1% as well as. 63.9%, p < .001). Error density was significantly lower in human output (Mean Rank = 47.3 as well as. 29.1, p = .002). Findings suggest that current AI systems, despite algorithmic advancements, remain deficient in pragmatic and contextual adaptation core competencies rooted in human cognitive-linguistic processing. The study contributes a validated metric framework for evaluating AI interpreting performance and calls for hybrid human-AI paradigms in professional settings. Implications for interpreter training curricula and machine translation pedagogy are discussed

Keywords: Simultaneous Interpreting، Artificial Intelligence، Deep Learning، Quantitative Descriptive Research، Machine Translation، Human-Machine Comparison، Interpreter Performance، Transformer Model

The collection of comprehensive data is crucial for monitoring antimicrobial resistance (AMR) patterns and implementing targeted interventions. However, there is a lack of data regarding the AMR status of pathogens in Libya, hinders the efforts to address the problem effectively. This retrospective study evaluates the prevalence of Escherichia coli AMR isolates to gentamycin, chloramphenicol, cefoxitin (or) ceftriaxone, meropenem, moxifloxacin (Mox), amoxicillin/clavulanate (AUG) or ampicillin-sulbactam (UNZ) among the visitors to the main pathology laboratories in Gharyan city. Reports from 107 AMR tests demonstrate that E. coli was mostly isolated from Urinary Tract Infections (UTIs, 85%) followed by vaginal infections (8.4%) and wound infections (6.5%). More than half of the isolates were multi-drug resistant which is a clear indicator of the need for continuous monitoring. The overall pattern demonstrates a high resistance rate to cephalosporins, and combinations of penicillins with beta-lactamase inhibitors (UNZ or AUG), followed by high resistance rates to Mox. In contrast, E. coli isolates showed high sensitivity to meropenem followed by gentamicin and chloramphenicol. However, the isolation site seems to affect the resistance patterns, most of the wound isolates were resistant to gentamycin. In contrast, all vaginal isolates were resistant to UNZ or AUG, yet both types showed high susceptibility to meropenem. 

Euphorbia glyptosperma Engelm is recorded for the first time as part of the flora of Libya. This widespread wild weed was collected during 2023–2024 from various locations, including regions in Sabha and Ariggiba (approximately 110 km southwest of Sabha city). To aid in its identification and facilitate future studies, a comprehensive description of the species, habitat information, a distribution map, and distribution data are provided. Additionally, a brief discussion highlights the most significant threats associated with this species. Keywords: Identification key, Ariggiba Region, Field work, Sabha taxonomy, Alena 

Spiders are widespread, abundant predators, making them familiar and readily accessible to people everywhere. Despite having venom glands, most spiders bite humans in some situations, only when they are annoyed, trapped or injured. Studies on spider bites in Libya are limited, neglected, and affected by misdiagnosis and underreporting. The study aimed to interpret, analyze, and characterize the clinical characteristics of spider bite patients and their variations at Tripoli Medical Center (TMC), Tripoli, Libya, between 2004 and 2012. A retrospective study of 102 reported patients with spider bites at Tripoli Medical Center during the period from 2004 to 2012. A total of 102 patients were reported, mostly in May and June (16 cases in each month). The cases were mostly reported in 2007 and 2009 (17 each). The majority of cases were in age group of 19-29 years (41 cases), and female cases (68 cases, 66.6%) were higher than males (34 cases, 33.3%). The most bitten sites were proximal extremities (71.5%). Overall, most patients suffered from erythema (90%) and swelling (36%), followed by itching (33%), necrosis (29%) and fever (17%). Spider bites are common in Libya, but most bites cause minimal or no clinical effects and do not require medical attention. Diagnosing a spider bite is extremely challenging, but a comprehensive history and careful evaluation of symptoms, with correct verification of spider bites are helpful in diagnosing and treating spider bites.

-This qualitative case study investigates the effectiveness of AI-driven translation technologies in mediating cultural understanding within English Language Teaching (ELT) contexts in Libyan higher education. Drawing on data from semi-structured interviews with 55 ELT instructors, 24 classroom observations across six universities, and document analysis of student translation outputs and institutional curricula, the study reveals a dualistic role of artificial intelligence in language pedagogy. While AI-powered tools such as Google Translate and Microsoft Translator significantly enhance lexical accessibility and reduce language anxiety among learners, their capacity to convey cultural nuance remains critically limited. Findings indicate that algorithmic biases, rooted in Anglo-American linguistic corpora, result in the systematic flattening of cultural meaning and misrepresentation of idioms, humor, politeness strategies, and socio-pragmatic cues, thereby reinforcing a form of digital linguistic imperialism. Students’ uncritical reliance on AI outputs has fostered a “copy-paste culture,” undermining opportunities for intercultural reflection and eroding pragmatic awareness. However, the study also identifies transformative potential when AI tools are pedagogically repurposed through “teaching against the machine” strategies. A subset of instructors successfully used AI-generated mistranslations as pedagogical moments to foster critical cultural awareness, metacognitive reflection, and intercultural dialogue. Despite this potential, widespread implementation is hindered by systemic barriers, including the absence of institutional policies, lack of professional development, curricular gaps, and infrastructural challenges. The research concludes that AI technologies are not inherently facilitative or obstructive to cultural understanding; rather, their effectiveness is contingent upon intentional pedagogical mediation, critical digital literacy, and context-sensitive integration. The study calls for curriculum reforms, ethical AI integration frameworks, and teacher training programs that

position AI as a scaffold, not a substitute for intercultural communicative competence in ELT contexts

KEYWORDS: AI-driven translation, cultural understanding,, English language teaching, higher education, Libya, intercultural competence, technology integration

driven translation technologies in mediating his qualitative case study investigates the effectiveness of AI

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