Monocyte-Independent T Cell Activation by Simultaneous Binding of Three CD2 Monoclonal Antibodies (D66 + T11.1 + GT2)

Tổng hợp lý thuyết hóa hữu cơ – ôn thi tốt nghiệp-đại học năm 2012

מאמר ד"ה להבין ענין הילולא דרשב"י מכ"ק אדמו"ר רבי שמריה נח מבברויסק בן כ"ק אדמו"ר יהודה ליב בן כ"ק אדמו"ר הצמח צדק זצוקללה"ה נבג"מ זי"ע יו"ל לראשונה מכתב יד מעתיק לכבוד ל"ג בעומר תשפ"ד נערך ע"י עקיבא שבריק

European Scientific Journal, ESJ , 2024

This paper focuses on scrutinizing the attitudes and opinions of English as Foreign Language (EFL) learners on the integration of artificial intelligence (AI) in a morphology course in higher education in Lebanon. Specifically, it examines AI as a pedagogical tool in classrooms to provide learners with personalized learning paths centered on their needs and strengths, offer automated feedback on activities and assignments, supply study resources and extra material, furnish adaptive assessments, and most importantly, identify common errors in students’ responses that allow instructors to acknowledge the learning gaps and tailor their teaching strategies accordingly. It also aims to determine the students’ perspectives on AI’s potent role in learning. In this exploratory study, a mixed-method design and a convenient sampling of participants were utilized. A total of 62 EFL students at the public university in Lebanon participated in the study. To describe and quantify their perceptions of integrating AI in a morphology course, an online survey, including closed-ended and open-ended questions, and two focus group discussions were administered. The overall qualitative and quantitative analyses of the data indicated that Lebanese EFL students have positive attitudes towards integrating AI in a morphology course as a pedagogical tool and as a fundamental part of the teaching strategies in EFL higher education classes since it provides a good source of information and aids in the teaching and learning process. However, the findings also revealed the need to train teachers and students to use AI technologies, keeping in mind the potent role of the instructor in class.

The Elgar Herbert Simon Companion, 2024

International Journal of Agriculture Extension and Social Development, 2024

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has arisen as a game-changing factor in the quest for sustainable agriculture. This paper explores the intricate relationship between AI, IoT, and sustainable agriculture, showcasing successful initiatives through case studies. Projections indicate an 85 per cent automation rate in business operations by AI by 2025, emphasizing its pervasive impact, particularly in precision farming. The study reveals practical insights for stakeholders, highlighting the potential of AI-driven precision farming to optimize resource allocation, increase productivity, and reduce environmental harm. Challenges, including accessibility and ethical considerations, are addressed, emphasizing the need for policy interventions and capacity-building initiatives. The paper concludes with a call to unleash the transformative capabilities of AI and IoT, fostering environmental preservation, global food security, and economic prosperity in agriculture.