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.
Reabetswe A. Mere, Muhammad Hoque, Mathildah Mpata Mokgatle, Raikane J. Seretlo
This scoping review seeks to thoroughly map and synthesise the evidence on HIV viral rebound among people living with HIV receiving antiretroviral medication (ART) in Africa. The review will be conducted using the Joanna Briggs Institute (JBI) methodology for scoping reviews and…
Robot-assisted knee arthroplasty has been adopted rapidly on the premise that improved component positioning and alignment translate into better clinical outcomes for patients. The supporting evidence, however, consists largely of pairwise comparisons of a single robotic techniqu…
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…
SHARUN NV, Rohini T, Athar Javeth
Background: Clinical handover (handoff) is the structured transfer of patient information, professional responsibility, and accountability between healthcare providers during transitions of care. Ineffective handovers contribute substantially to communication failures, medical er…
This registration specifies, before analysis, a two-date event study extending our study "Generative AI and Market Structure in Open Source Software: Evidence from GitHub Copilot." The original design compares Python (treated by Copilot's October 2021 multi-IDE expansion) with R…
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…