Prospective protocol for a systematic review of generative-AI-assisted feedback in higher education
Wagner Rios-García, Erick Barrientos-Ventura, Victoria E. Butrón-Verástegui, Daniela E. Oriundo-Arbizu, Kehit A. Velasquez-Taipe, Abigail D. Via-y-Rada-Torres, et al.
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. Echocardiography is widely available and provides real-time structural and functional assessment, but diagnostic accuracy is limited by operator dependency. Machine learning (ML) and deep…
This protocol establishes a deterministic, multi-physics digital twin framework for validating the targeted acoustic cleavage of viral nucleocapsids within an extracorporeal shunt. Utilizing a non-enveloped Adenovirus baseline, the methodology bridges discrete atomistic data and…
This research project examines whether person-specific prediction models can improve the timing and effectiveness of just-in-time adaptive interventions for rumination. This proof-of-concept study integrates intensive ecological momentary assessment, idiographic machine-learning…
This repository contains a 12-file subset of the CHB-MIT Scalp EEG Database (PhysioNet) used to evaluate adaptive noise filtering algorithms and machine learning classification for ambulatory EEG signal processing. The dataset includes 12 pre-packaged '.edf' files spanning 6 subj…
Supplementary materials for the JWFO Research Letter auditing reproducibility-critical reporting in generative-AI (large language model) studies in orthodontics: pre-registration protocol, ORTHO-LLM-REPRO codebook, extraction grid, search strategy, analysis script, and figures.