Natural language processing for detecting endoscopy-related adverse events in free-text procedure reports at a tertiary referral centre in Türkiye: a 10-year retrospective diagnostic accuracy study. [PDF]
Özden Y +2 more
europepmc +1 more source
The Influence of Common Language on the Trade of Wheat and Bakery Products
ABSTRACT This study examines whether sharing a common official language increases the probability that two countries engage in bilateral trade of wheat and bakery products. Using a binary choice framework applied to 54,780 country‐pair observations for 2023, probit and logit models of the extensive margin of trade are estimated, with a focus on whether
Felipe Durães do Nascimento Monteiro Barbosa +1 more
wiley +1 more source
LEXF-ATT-XLM: A hybrid lexicon-enhanced attention model for hate speech detection in low-resource language Roman Urdu. [PDF]
Awan JJ, Hamid M, Alshalali TAN.
europepmc +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Minimal symbol grounding through language statistics: An information theoretic approach quantifying uncertainty. [PDF]
Louwerse MM.
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
A Standardized Aroma Lexicon and Sensory Wheel for Characterizing Aroma Quality of Traditional Korean Doenjang. [PDF]
Hwang JS, Hwang IS, Kim MK.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
A dataset for studying the vocabulary of picturebooks: A supplement to the children's picturebook lexicon (CPB-Lex). [PDF]
Green C, Keogh K.
europepmc +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source

