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.

Abstract

This paper attempted to conduct a critical analysis of Donald Trump’s inauguration speech in 2025. The speech was analysed through Van Dijk’s socio-cognitive approach. Three levels of analysis were employed: textual, cognitive, and social. The findings revealed that Trump employed several rhetorical appeals, including logos and pathos. Additionally, various rhetorical devices such as hyperbole, metaphors, and parallel structures were utilised to reinforce his ideas. The analysis also revealed underlying ideologies within the speech, including nationalism, inequality, and protectionism. Trump depicted Americans as law-abiding citizens, while he portrayed immigrants as criminals posing a serious threat to America. Furthermore, Trump effectively employed linguistic tools and rhetorical devices to characterise Biden’s administration as weak and incompetent in managing social and economic issues, while presenting himself as a redeemer of America.

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

.