Results 221 to 230 of about 6,178,397 (360)

Educational Personalized Learning Path Planning with Large Language Models [PDF]

Chee M. Ng, Yik Hing Fung
openalex   +1 more source

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions [PDF]

, 2017
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang   +3 more
openalex   +1 more source

Bacteriophage‐Mimetic DNA Origami Needle for Targeted Membrane Penetration and Cytosolic Cargo Delivery

Advanced Science, EarlyView.
We designed a synthetic DNA origami needle‐like structure inspired by bacteriophages for targeted drug delivery. Functionalized with trastuzumab antibodies, cholesterol, and dyes, it selectively targets SKBR3 cancer cells. A glutathione‐triggered dye payload enables controlled release, and delivery is verified using confocal microscopy and live cell ...
Anirban Samanta, Mette Galsgaard Malle, Emily Tsang, Marjan Omer, Mads K. Skaanning, Sarah Youssef, Jørgen Kjems, Kurt V. Gothelf   +7 more
wiley   +1 more source

Exploring the influence of artificial intelligence integration on personalized learning: a cross-sectional study of undergraduate medical students in the United Kingdom. [PDF]

BMC Med Educ
Sunmboye K, Strafford H, Noorestani S, Wilison-Pirie M.   +3 more
europepmc   +1 more source

Development of a Gamification Model for Personalized E-learning [PDF]

Afvensu Enoch Ibisu
openalex   +1 more source

Continuous Learning for Large-scale Personalized Domain Classification [PDF]

, 2019
Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young‐Bum Kim   +4 more
openalex   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Mobile-Assisted Language Learning and Advanced Vocabulary Acquisition: Promoting Personalized Learning

Ikhtilaf
In light of the revolutionary impact of digital language learning and its favorable reception among learners, there is a strong rationale to examine its features in order to identify potential adaptations for formal educational settings.
Manal Laaribi
doaj  

The Feedback of the Chinese Learning Diagnosis System for Personalized Learning in Classrooms. [PDF]

Front Psychol, 2019
You X, Li M, Xiao Y, Liu H.
europepmc   +1 more source