GAUSS JACOBI METHOD IMPLEMENTED IN PYTHON PROGRAMMING LANGUAGE
M. Suganya Veni +2 more
openalex +2 more sources
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher +3 more
wiley +1 more source
Difficulty aware programming knowledge tracing via large language models. [PDF]
Yang L, Sun X, Li H, Xu R, Wei X.
europepmc +1 more source
Abstract Background To optimise health outcomes, it is important that caregivers understand the instructions on the labels of medicines dispensed for children. Aim To describe how the instructions on the labels of oral liquid medicines dispensed in community pharmacies for a sample of children were presented, focusing on the variation of elements known
Sara Hanning +6 more
wiley +1 more source
Clinician-Led Development and Feasibility of a Neural Network for Assessing 3D Dental Cavity Preparations Assisted by Conversational AI. [PDF]
El-Hakim M +3 more
europepmc +1 more source
LEARNING TO ANALYZE NUMBER RECORDING AND CHECK THEIR DIVISIBILITY IN THE PYTHON PROGRAMMING LANGUAGE AT SCHOOL [PDF]
S.V. Kozlov, А.А. Быков
openalex +1 more source
Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana +6 more
wiley +1 more source
Vibe coding: a new paradigm for biomedical software development. [PDF]
Moore JH, Tatonetti N.
europepmc +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics. [PDF]
Mahmood MA +4 more
europepmc +1 more source

