Results 131 to 140 of about 96,863 (300)

OpenAlex in focus: Metadata quality of publication type and language fields in an open peer review corpus

open access: yesInformation Research: An International Electronic Journal
Introduction. OpenAlex is widely used as a free bibliographic database for bibliometric and scholarly communication research. Despite its openness and coverage, its metadata contains inconsistencies that require systematic cleaning.
Güleda Doğan, Ayça Nur Sezen
doaj   +1 more source

Metadata Creation: Behind the Scenes

open access: yes, 2022
In this session of Metadata Matters, attendees will gain an overview of how metadata is created for the digital objects available in the library’s digital collections (Islandora and Aviary platforms).
Kluck, Lenard   +2 more
core  

Dual‐Wavelength Control of Charge Accumulation in Rubrene Microcrystals with Anisotropic Conductivity

open access: yesAdvanced Science, EarlyView.
Rubrene microcrystals, forming two distinct sector types, are investigated using photoemission electron spectroscopy. The two sectors exhibit a built‐in charge landscape, arising from anisotropic conductivities. Upon excitation with UV light, the diamond‐shaped sectors accumulate significant charge, whereas the triangular sectors remain essentially ...
Moha Naeimi, Ingo Barke, Sylvia Speller
wiley   +1 more source

Enhancing the Quality of Metadata: Modular Approach to Digital Resource Lifecycle Management [PDF]

open access: yes, 2007
Paper for the 2007 IS&T Annual Archiving Conference. This paper describes how to enhance the quality of metadata and a modular approach to digital resource lifecycle ...
Alemneh, Daniel Gelaw   +1 more
core  

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

open access: yesAdvanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang   +10 more
wiley   +1 more source

Towards a sound management of digital culture. Metadata schemes and application profiles for digital repositories [PDF]

open access: yes, 2010
If we give a look to the present panorama of digital research – particularly if applied to cultural heritage collections - we have to admit that there is still more attention to the quality of data than to the necessary series of management activities ...
Feliciati, Pierluigi
core  

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Optimising metadata to make high-value content more accessible to Google users [PDF]

open access: yes, 2006
Purpose: This paper shows how information in digital collections that have been catalogued using high-quality metadata can be retrieved more easily by users of search engines such as Google.
Dawson, Alan, Hamilton, Val, Dawson, A.
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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