Results 31 to 40 of about 7,733 (260)

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

open access: yesAdvanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit   +43 more
wiley   +1 more source

‘Ontology’ and Terminological Frameworks: an Overview of Issues and Term(s)

open access: yesHermes, 2012
This paper addresses the question of the protean nature of ‘ontology’, with special attention paid to its use within the domain of terminology theories and applications.
Natascia Leonardi
doaj   +1 more source

The political ontology of protected area co-management: worlding and nature perceptions among stakeholders

open access: yesJournal of Political Ecology, 2021
Political ontology reveals the processes of domination at play in the enactment of realities in a(post-) colonial context. In this article, we illustrate the implications of the power asymmetries inherent in conservation and co-management of protected ...
Helen Gambon, Patrick Bottazzi
doaj   +2 more sources

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

open access: yesAdvanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang   +12 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

open access: yesAdvanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi   +4 more
wiley   +1 more source

Study of Ontology-Based Swine Diagnosis Technology

open access: yesJournal of Integrative Agriculture, 2012
The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application.
Yun-peng CUI, Xiao-lu SU, Shi-hong LIU
doaj   +1 more source

A Review of Accessing Big Data with Significant Ontologies

open access: yesKnowledge Engineering and Data Science, 2020
Ontology Based Data Access (OBDA) is a recently proposed approach which is able to provide a conceptual view on relational data sources. It addresses the problem of the direct access to big data through providing end-users with an ontology that goes ...
Jumah Y.J Sleeman   +1 more
doaj   +1 more source

Relation Ontology II

open access: yesNature Precedings, 2008
AbstractConceived as follow-up to recent efforts destined to supply .owl ontologies with relational tools of greater complexity, the present article focuses on four main paths, all of them consisting in providing biomedical ontologies with formal means to express (1) deviations from normality, (2) topological connectedness, (3) inherence and (4 ...
openaire   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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