A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub. [PDF]
Martínez-Romero M +17 more
europepmc +1 more source
Word Associations in a Minoritised Language: The Case of Cymraeg (Welsh)
ABSTRACT As with many research strands in linguistics, word association (WA) literature is dominated by English language data. This paper (i) explores the extent to which methodologies developed to date are applicable to other languages—specifically, Welsh (Cymraeg)—and (ii) investigates what WA analysis can reveal about lexical organisation and ...
Tess Fitzpatrick +2 more
wiley +1 more source
Real-World Application of an AI-Assisted Digital Workflow for Clinical Observational Data Collection in Dermatology Residency Programs: An Innovative Pilot Report From India. [PDF]
Manohar N, Prasad SS.
europepmc +1 more source
ABSTRACT With the growing recreational use of digital media technology, informal language learning occurs more frequently within individuals’ everyday lives. However, the interplay between digital and physical spaces in informal language learning remains underexplored.
Yeong‐Ju Lee, Peter Roger
wiley +1 more source
Optimization and comparison research on adaptive modularization BERT-SPAN model for named entity recognition of SARS-CoV-2 virus proteins. [PDF]
Shi X +5 more
europepmc +1 more source
How L2 Learners Negotiate Meaning in GenAI‐Supported Creative Writing
ABSTRACT This qualitative study explores how second language (L2) learners negotiate meaning and co‐construct knowledge with generative AI (GenAI) in a 12‐week multimodal creative writing project. Chinese middle school students (N = 75) created English picture books using a conversational GenAI agent supporting textual and text‐to‐image generation.
Zhihui Zhang +3 more
wiley +1 more source
Developing electronic health records as a source of real-world data for veterinary pharmacoepidemiology. [PDF]
Davies H +6 more
europepmc +1 more source
Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley +1 more source
myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization. [PDF]
Correia RB +14 more
europepmc +1 more source

