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 

-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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الملخص العربي الملف الوبائي والنسيجي المرضي ألورام الفم والرأس والرقبة في المعهد الوطني للسرطان: تحليل استعادي لمدة خمس سنوات )2020-2024) المقدمة ًرا في العالم، وتتمتع بمعدالت بقاء منخفضة تُعّد سرطانات الشفة وتجويف الفم من أكثر األورام الخبيثة انتشا على قيد الحياة رغم التقدم العالجي. في ليبيا، ال تزال البيانات الوبائية حول أورام الفم والرأس والرقبة محدودة. هدفت هذه الدراسة إلى توصيف الوضع الوبائي والنسيجي المرضي لهذه األورام على مدى خمس سنوات في المعهد الوطني للسرطان في صبراتة، من عام 2020 إلى عام 2024. ا جريت مراجعة بأثر رجعي لجميع حاالت السرطان والساركوما ال ُمثبتة نسيجيًا في تجويف الفم ُ لطريقة: أ والرأس والرقبة، والمسجلة في أرشيفات المعهد الوطني للسرطان. استُخلصت البيانات الديموغرافية للمرضى )اإلصدار 2.0.4 )Rالعمر والجنس(، وموقع الورم، والتشخيص النسيجي المرضي. ُحللت البيانات باستخدام لحساب متوسط العمر، وتوزيع الجنس، والتكرارات الخاصة بالموقع، والنسب السنوية ألورام الفم مقارنةً بإجمالي حاالت السرطان حالة سرطان ُمبل 48 حالة )59.0 )%منها ّ النتائج: من بين 152,8 غ عنها على مدار خمس سنوات، كانت أورا ًما فموية. تراوحت نسب األورام الفموية السنوية بين 34.0 %عام 2020 و83.0 %عام 2023 .تألفت ذكًر 58 )%و20 أنثى )42 ،)%بنسبة ذكور إلى إناث بلغت 1:4.1 .كان متوسط عمر المجموعة من 28 ا ) عا ًما(. كان اللسان أكثر المناطق تأث ًر )5.42 ،)%يليه الفك العلوي المرضى 2.54 عا ًما )النطاق: 12-89 ا )15 )%والبلعوم األنفي )5.12 .)%شكّل سرطان الخاليا الحرشفية )%69) SCC من الحاالت، وسرطان الغدد 19 ،%والساركوما 12 .%ومن بين حاالت سرطان الخاليا الحرشفية، بلغت نسبة الذكور 55 .% االستنتاج: شكلت أورام الفم والرأس والرقبة أقل من 1 %من جميع حاالت السرطان في المعهد الوطني للسرطان خالل الفترة 2020-2024 ،حيث أصابت بشكل رئيسي كبار السن من الذكور، وغالبًا ما شملت سرطان الخاليا الحرشفية اللسان. تؤكد هذه النتائج على ضرورة إجراء فحص ُمستهدف في المواقع التشريحية والفئات الديموغرافية عالية الخطورة. ينبغي أن تُدمج الدراسات المستقبلية عوامل الخطر السلوكية والبيئية لتوجيه استراتيجيات الوقاية والكشف المبكر. الكلمات المفتاحية: أورام الفم - سرطان الرأس والرقبة - سرطان الخاليا الحرشفية - التحليل بأثر رجعي - علم الاوبئة

Abstract Background: Cancers of the lip and oral cavity rank among the world’s most prevalent malignancies and carry poor survival rates despite therapeutic advances. In Libya, epidemiological data on oral and head‐and‐neck tumors remain limited. This study aimed to characterize the five‐year epidemiological and histopathological profile of these tumors at the National Cancer Institute (NCI), Sabratha, from 2020 to 2024. Methods: A retrospective review was conducted of all histologically confirmed carcinomas and sarcomas of the oral cavity, head, and neck recorded in the NCI archives. Patient demographics (age, sex), tumor site, and histopathologic diagnosis were extracted. Data were analyzed using R (v4.0.2) to calculate mean age, gender distribution, site‐specific frequencies, and annual proportions of oral tumors relative to total cancer cases. Results: Among 8,152 cancer cases reported over five years, 48 (0.59%) were oral tumors. Annual oral tumor proportions ranged from 0.34% in 2020 to 0.83% in 2023. The cohort comprised 28 males (58%) and 20 females (42%), with a male-to-female ratio of 1.4:1. The mean patient age was 54.2 years (range: 12–89). The tongue was the most affected site (42.5%), followed by maxilla (15%) and nasopharynx (12.5%). Squamous cell carcinoma (SCC) constituted 69% of cases, adenocarcinoma 19%, and sarcoma 12%. Among SCCs, 55% occurred in males. Conclusion: Oral and head‐and‐neck tumors comprised less than 1% of all cancers at NCI during 2020–2024, predominantly affecting older males and most frequently involving the tongue as SCC. These findings underscore the need for targeted screening in high‐risk anatomical sites and demographic groups. Future studies should integrate behavioral and environmental risk factors to inform prevention and early‐detection strategies. Keywords:)Oral Tumors-Head-and-neck cancer-Squamous cell carcinomaRetrospective analysis-Epidemiology(

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.