Results 161 to 170 of about 893,356 (315)
Shifting Focus: An Advocacy-Focused Analysis of Omega Beta Iota's Membership and Political Engagement Strategies. [PDF]
Rashid MF, Rizvi SA.
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Defining advocacy in public health: a scoping review to inform policy, training, and equity-oriented action. [PDF]
Monaci M +4 more
europepmc +1 more source
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
'If You Don't Fight for Yourself, No One Else Will': An In-Depth Interpretative Phenomenological Analysis of Rare Disorder Care Advocacy in Aotearoa New Zealand. [PDF]
Bennett L, Officer TN.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Experiential learning to advocacy: A peer-led approach to safe medication disposal in pharmacy education. [PDF]
Lee JJ +7 more
europepmc +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source

