Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Re: Discharge NIHSS scores are predictive of poor 3-month outcomes in patients with acute ischemic stroke receiving intravenous thrombolysis. [PDF]
Duan Y.
europepmc +1 more source
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley +1 more source
Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations. [PDF]
Kim E, Lee S.
europepmc +1 more source
Aims Oral administration of (S)‐ketamine for treatment‐resistant depression (TRD), as alternative to the registered intranasal or off‐label intravenous administrations, has high potential. However, it is characterized by an extensive first‐pass metabolism, resulting in low (S)‐ketamine exposure and high levels of active metabolites, including (S ...
Marije E. Otto +5 more
wiley +1 more source
A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators. [PDF]
Ashokaraju D +4 more
europepmc +1 more source
Hunting Structural Demons in Digital Reticular Chemistry: Lessons From Metal‐Organic Frameworks
Digital reticular chemistry is haunted by “structural demons”, chemically invalid models lurking within massive experimental and hypothetical MOF databases. This mini‐review tracks where these anomalies enter the data pipeline, evaluate the modern computational arsenal used to detect them (from rule‐based algorithms to machine‐learning classifiers ...
Yongchul G. Chung, Myoung Soo Lah
wiley +1 more source
A distributionally robust bilevel optimization model for wholesale-retail electricity market design. [PDF]
Jia X +7 more
europepmc +1 more source

