This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Game-Based Learning in Pharmacy Education. [PDF]
Oestreich JH, Guy JW.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Effects of game-based learning and flipped classroom strategies on performance and reasoning in patient safety education for surgical nursing students. [PDF]
Mehrdad M +4 more
europepmc +1 more source
Influence of game-based learning in mathematics education on the students' cognitive and affective domain: A systematic review. [PDF]
Hui HB, Mahmud MS.
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
The influence of game-based learning on tactical awareness and skill development in golf training programs. [PDF]
Jin C.
europepmc +1 more source
Playing at the school table: Systematic literature review of board, tabletop, and other analog game-based learning approaches. [PDF]
Sousa C +6 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
Contextualization, Procedural Logic, and Active Construction: A Cognitive Scaffolding Model for Topic Sentiment Analysis in Game-Based Learning. [PDF]
Ding L, Zhang H, Zhou J, Chen B.
europepmc +1 more source

