Results 71 to 80 of about 308,312 (297)

On the usefulness of finding charts Or the runaway carbon stars of the Blanco & McCarthy field 37 [PDF]

open access: yes, 2003
We have been recently faced with the problem of cross--identifying stars recorded in historical catalogues with those extracted from recent fully digitized surveys (such as DENIS and 2MASS).
Blanco   +16 more
core   +2 more sources

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

A Revised Model for Muscarine Biosynthesis Involving Lysine Trimethylation

open access: yesAngewandte Chemie, EarlyView.
The fatal mushroom toxin l‐(+)‐muscarine is one of the most prominent natural products. We elucidated its biosynthetic origin in the sweating mushroom Collybia rivulosa based on incorporation of stable isotope‐labeled compounds and extensive mass spectrometric analyses.
Sebastian Dörner   +4 more
wiley   +2 more sources

Acronym-Meaning Extraction from Corpora Using Multi-Tape Weighted Finite-State Machines

open access: yes, 2006
The automatic extraction of acronyms and their meaning from corpora is an important sub-task of text mining. It can be seen as a special case of string alignment, where a text chunk is aligned with an acronym.
Kempe, André
core   +1 more source

HILT : High-Level Thesaurus Project. Phase IV and Embedding Project Extension : Final Report [PDF]

open access: yes, 2009
Ensuring that Higher Education (HE) and Further Education (FE) users of the JISC IE can find appropriate learning, research and information resources by subject search and browse in an environment where most national and institutional service providers -
Joseph, Anu   +2 more
core  

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Complete genome sequence of Kribbella flavida type strain (IFO 14399). [PDF]

open access: yes, 2010
The genus Kribbella consists of 15 species, with Kribbella flavida (Park et al. 1999) as the type species. The name Kribbella was formed from the acronym of the Korea Research Institute of Bioscience and Biotechnology, KRIBB.
Brettin, Thomas   +32 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

DiSCmap : digitisation of special collections mapping, assessment, prioritisation. Final project report [PDF]

open access: yes, 2009
Traditionally, digitisation has been led by supply rather than demand. While end users are seen as a priority they are not directly consulted about which collections they would like to have made available digitally or why.
Birrell, Duncan   +5 more
core   +1 more source

The Jackprot Simulation Couples Mutation Rate with Natural Selection to Illustrate How Protein Evolution Is Not Random [PDF]

open access: yes, 2011
Protein evolution is not a random process. Views which attribute randomness to molecular change, deleterious nature to single-gene mutations, insufficient geological time, or population size for molecular improvements to occur, or invoke “design ...
Bai, Chunyan Y.   +2 more
core   +2 more sources

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