日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Analysis of Philip Morris International's 'aspirational' target for its 2025 cigarette shipments

对菲利普莫里斯国际公司2025年卷烟出货量“愿景”目标的分析

Mehegan, John; Gallagher, Allen; Elmitwalli, Sherif; Edwards, Richard; Gilmore, Anna

Development and validation of a multi-agent AI pipeline for automated credibility assessment of tobacco misinformation: a proof-of-concept study

开发和验证用于自动评估烟草虚假信息可信度的多智能体人工智能流程:概念验证研究

Elmitwalli, Sherif; Mehegan, John; Braznell, Sophie; Gallagher, Allen

Scalable evaluation framework for retrieval augmented generation in tobacco research using large Language models

可扩展的评估框架,用于利用大型语言模型在烟草研究中进行检索增强生成

Elmitwalli, Sherif; Mehegan, John; Braznell, Sophie; Gallagher, Allen

Green Synthesis of Metal Nanoparticles Using Cinnamomum-Based Extracts and Their Applications

利用肉桂提取物绿色合成金属纳米粒子及其应用

Elmitwalli, Omar Samir Mohamed Megahed Saleh; Kassim, Deyari Azad Kareem; Algahiny, Ahmed Taymour; Henari, Fryad Zeki

Regional anesthesia and muscle-wasting diseases in pediatrics: A focused educational review

区域麻醉与儿科肌肉萎缩症:重点教育综述

Elhamrawy, Amr; Elmitwalli, Islam; Burrier, Candice; Veneziano, Giorgio; Tobias, Joseph D

Isoperistaltic Side-to-side Anastomosis in Colorectal Surgery: Outcomes and Comparative Insights from Bahrain

结直肠手术中等蠕动侧侧吻合术:来自巴林的疗效和比较见解

Algahiny, Ahmed T; Elnagar, Mohamed Bg; Elmitwalli, Omar Smms; Alazazzi, Hosam; Asim, Ibrahim; Abouelella, Omar HeshamEldin; Juma, Isam M; Saeed, Mirza Faraz

The Emerging Role of p21 in Diabetes and Related Metabolic Disorders

p21在糖尿病及相关代谢紊乱中的新兴作用

Elmitwalli, Omar; Darwish, Radwan; Al-Jabery, Lana; Algahiny, Ahmed; Roy, Sornali; Butler, Alexandra E; Hasan, Ammar S

Topic prediction for tobacco control based on COP9 tweets using machine learning techniques

利用机器学习技术,基于COP9推文进行控烟主题预测

Elmitwalli, Sherif; Mehegan, John; Wellock, Georgie; Gallagher, Allen; Gilmore, Anna

Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques

COP9相关推文的情感分析:预训练模型与传统技术的比较研究

Elmitwalli, Sherif; Mehegan, John

Enhancing sentiment and intent analysis in public health via fine-tuned Large Language Models on tobacco and e-cigarette-related tweets

通过对烟草和电子烟相关推文进行微调的大型语言模型,增强公共卫生领域的情感和意图分析

Elmitwalli, Sherif; Mehegan, John; Gallagher, Allen; Alebshehy, Raouf