This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Development of Virtual Reality Scenarios Addressing Gender-Based Violence in Health Sciences Education: Qualitative Approach. [PDF]
Valverde-Alirangues B +2 more
europepmc +1 more source
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
How to teach otologic surgery to the next generation? [PDF]
Almeida AS, Testa JRG.
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
Impact of Active Methodologies Involving Physical Activity on Primary School Students: A Systematic Review (2018-2024). [PDF]
Caracuel-Cáliz RF +3 more
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
A Hybrid Nonlinear Greater Cane Rat Algorithm with Teaching-Learning-Based Optimization for Global Optimization and Constrained Engineering Applications. [PDF]
Zhang J, Li H, Zhang T, He Z.
europepmc +1 more source
Generative pretrained transformer (GPT) algorithm can be taught to improve the task of differential diagnosis according to simple principles of clinical reasoning. The case of GPT-4o and a lesson to apply in medical education. [PDF]
Cabir Y, Hornstein R, Segal G, Shoham R.
europepmc +1 more source

