Results 251 to 260 of about 2,709,471 (316)
Aim Clinically, interstitial lung disease (ILD) is a heterogeneous group of respiratory disorders. Due to their low incidence, pharmacovigilance database analysis is useful to detect them. Precise diagnosis is challenging as well as coding in these databases. Query criteria are among the key elements for a good signal detection.
Romane Freppel +4 more
wiley +1 more source
A hybrid model integrating RoBERTa, TF-IDF, and attention mechanism for medical query intent classification. [PDF]
Liang Z, Zhao Y, Xu H, Huang H, Chen L.
europepmc +1 more source
Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis
Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus +4 more
wiley +1 more source
The absent presence of disability in British higher education
Abstract Rates of disability disclosure are steadily increasing in British higher education (HE), with 18% of the student population having a known disability in 2023/24. It might be assumed that progress is being made with increased representation, rights and support for disabled students.
G. Koutsouris +5 more
wiley +1 more source
Contrastive learning enhanced retrieval-augmented few-shot framework for multi-label patent classification. [PDF]
Zheng W, Li X, Cui G, Chen S.
europepmc +1 more source
Abstract Improving retention and graduate outcomes for students from a widening participation (WP) background is key to achieving more equitable outcomes. However, evidence suggests WP students experienced different challenges than their peers during the COVID‐19 pandemic.
Wilhelmiina Toivo +4 more
wiley +1 more source
MAFMamba: A Multi-Scale Adaptive Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images. [PDF]
Li B, Yang X, Fan Y.
europepmc +1 more source
Is the Kent-Rosanoff Word Association Task Helpful in Characterizing Language Difficulties in 6- to 9-Year-Old Children with Autism? [PDF]
Miniscalco C +2 more
europepmc +1 more source
Fusing Semantic and Structural Features for Code Error Detection. [PDF]
Zhang Y, Liu W, Jiang F, Ma J, Cao J.
europepmc +1 more source

