Results 191 to 200 of about 272,600 (304)
Author Correction: Building new hydrography and virtual watersheds to conserve freshwater fisheries. [PDF]
Benda L +4 more
europepmc +1 more source
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok +7 more
wiley +1 more source
Probing transcription factor subsets in gene regulatory networks. [PDF]
Geis L +4 more
europepmc +1 more source
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
CodeStream: A dataset of iterative programming submissions with sequential verdict traces and attempt histories. [PDF]
Lina NJ +6 more
europepmc +1 more source
Objective JAK inhibitors (JAKis) have shown promising effects in early‐phase studies of SSc. We aimed to assess the safety and explore effectiveness of JAKis compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the EUSTAR cohort was performed.
Stefano Di Donato +27 more
wiley +1 more source
Higher-Level Strategies for Computer-Aided Retrosynthesis. [PDF]
Roh J +9 more
europepmc +1 more source
This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir +2 more
wiley +1 more source
Sequence sort: A new non-dominated sorting algorithm for evolutionary multi-objective optimization. [PDF]
Yi Y, Chen W, Shi Y.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

