Results 131 to 140 of about 245,952 (212)
Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products. [PDF]
Butt CM, Walker AS.
europepmc +1 more source
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
ArcFace-enhanced few-shot meta-learning for industrial fault diagnosis using multi-modal representations with lightweight 1D CNNs. [PDF]
Rony MH +3 more
europepmc +1 more source
ABSTRACT As modes of activism rapidly evolve, activists—both seasoned and emerging—must increasingly navigate a hybrid terrain of both digital and non‐digital engagement. This paper draws on the personal narratives of 16 nascent activists based in Australia to explore how they develop competencies related to digital storytelling, which is critical to ...
Garth Stahl +5 more
wiley +1 more source
A joint span-entity prediction approach with generative and cross-lingual meta-learning for low-resource Japanese NER. [PDF]
Shao X, Zhu D, Liu Q, Pan X.
europepmc +1 more source
The metabolic syndrome, a state of progressive metabolic dysfunction, injures the peripheral and central nervous systems, promoting peripheral neuropathy (PN) and cognitive impairment (CI), respectively. We posit PN and CI are connected in the metabolic syndrome framework, built on the premise that neurons, whether in the peripheral or central nervous ...
Masha G. Savelieff +3 more
wiley +1 more source
A meta-learning ensemble framework for robust and interpretable prediction of emergency medical services demand. [PDF]
Garg T, Toshniwal D, Parida M.
europepmc +1 more source
Abstract Premise Applied ecology can significantly influence policy decisions on environmental issues. Therefore, research in this field should be as transparent and reproducible as possible. Existing expertise from a broad range of disciplines should also be integrated into ecological research to allow researchers to maximize understanding of complex ...
Kailin Weitkämper +5 more
wiley +1 more source
Structure-enhanced graph meta learning for few-shot gene regulatory network inference. [PDF]
Yu W, Chen Z, Hu Y, Qin J, Ou-Yang L.
europepmc +1 more source
PbAT: A user‐friendly R/Shiny platform for data‐driven decision support in crop improvement
Abstract Premise Modern plant breeding requires robust analysis of complex, multi‐environment datasets to identify superior genotypes. Although R offers powerful statistical packages, their use often requires programming expertise. Existing graphical user interface (GUI)‐based tools are either limited in scope or not openly accessible, leaving breeders
Krishnan P. Abhijith +6 more
wiley +1 more source

