Results 21 to 30 of about 2,770 (172)

The metadata ecosystem and AI: Enabling FAIR and AI‐ready data

open access: yesAI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract Reproducibility is a foundational tenet of science. As artificial intelligence (AI) becomes increasingly embedded across science, the need to accurately document the provenance, structure, and behavior of training data, models, and workflows grows correspondingly. Metadata, understood as explicit and structured knowledge about data and related
Jane Greenberg   +5 more
wiley   +1 more source

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

open access: yesAI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Fragment‐Block: A Novel Approach for Managing Variability in Software Product Lines

open access: yesSoftware: Practice and Experience, Volume 56, Issue 5, Page 483-505, May 2026.
ABSTRACT Objective Changes in the functionality of a software product line (SPL) can generate various issues in the SPL source code. Their complexity depends primarily on the amount of changes in the SPL source code and the internal mechanisms for managing variability. Further, modern development frameworks rely on a variety of artefacts besides source
Junior Cupe Casquina, Leonardo Montecchi
wiley   +1 more source

Empowering Quality of Life Monitoring and Self‐Management in Bipolar Disorder: Pilot Evaluation of the PolarUs App

open access: yesBipolar Disorders, Volume 28, Issue 3, May 2026.
ABSTRACT Objectives Smartphone apps facilitate the dissemination of resources to help people with bipolar disorder (BD) implement self‐management strategies. However, current apps do not address all treatment outcomes valued by people with BD, nor are they designed with scalability in mind.
Erin E. Michalak   +5 more
wiley   +1 more source

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

open access: yesFuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi   +5 more
wiley   +1 more source

Neo4j database stored procedures.

open access: yes, 2018
Neo4j database stored procedures.
Xiaoran Li (656489)   +5 more
core   +1 more source

Does It Really Take 17 Years for Clinical Trial Results to Reach Clinical Practice? A Meta‐Research Protocol of the Evaluation of Trials Informing Recommendations

open access: yesClinical and Public Health Guidelines, Volume 3, Issue 2, April 2026.
ABSTRACT Introduction It has been estimated to take 17 years for research to change clinical practice. Scientific Knowledge Accelerator Foundation aims to narrow this research‐practice gap, hypothesising that making scientific evidence computable will accelerate the pace of knowledge transfer.
Brian S. Alper   +6 more
wiley   +1 more source

The data structure of Neo4j.

open access: yes, 2018
The data structure of Neo4j.
Xiaoran Li (656489)   +5 more
core   +1 more source

Neo4j graph dump of academic publication data

open access: yes, 2022
This dataset is a Neo4j graph dump, containing academic biographic publication data in the field of computing sciences. This is an integrated dataset from publicly available data from DBLP, OpenCitations and from the websites of ACM and Springer ...
Wiersma, W.J.
core   +2 more sources

DysRegNet: Patient‐specific and confounder‐aware dysregulated network inference towards precision therapeutics

open access: yesBritish Journal of Pharmacology, Volume 183, Issue 8, Page 1709-1724, April 2026.
Abstract Background and Purpose Gene regulation is frequently altered in diseases in unique and patient‐specific ways. Hence, personalised strategies have been proposed to infer patient‐specific gene‐regulatory networks. However, existing methods do not scale well because they often require recomputing the entire network per sample.
Johannes Kersting   +5 more
wiley   +1 more source

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