Results 51 to 60 of about 3,631,772 (250)
The strength of co-authorship in gene name disambiguation
Background A biomedical entity mention in articles and other free texts is often ambiguous. For example, 13% of the gene names (aliases) might refer to more than one gene.
Farkas Richárd
doaj +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
RResearch on author name disambiguation method based on machine learning
This paper proposes an automatic article author name disambiguation method based on rule matching and machine learning. For each article, the candidate authors are determined based on artificial constructed name matching rules firstly.
Deng Kejun +6 more
doaj
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
URI Disambiguation in the Context of Linked Data
The Linked Data initiative has given rise to an increasing number of RDF datasets, many of which are freely accessible online. These resources often arise as a result of database exports; however sufficient consideration may not be given to the unseen ...
Jaffri, Afraz +2 more
core +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Dynamically generating T32 training documents using structured data
Background: The US National Institutes of Health (NIH) funds academic institutions for training doctoral (PhD) students and postdoctoral fellows. These training grants, known as T32 grants, require schools to create, in a particular format, seven or ...
Paul James Albert, Ayesha Joshi
doaj +1 more source
Author name disambiguation for collaboration network analysis and visualization [PDF]
AbstractIn this paper we outline a heuristic algorithm for disambiguating author names of publications via deterministic clustering based on well‐defined similarity measures between publications in which their names appear as authors. The algorithm is designed to be used in the construction of a collaboration network, i.e., a graph of author nodes and ...
Andreas Strotmann +2 more
openaire +1 more source
The role of venture‐financed startups in innovation for US agriculture
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff +2 more
wiley +1 more source

