Results 11 to 20 of about 831,592 (316)
Although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or ...
Mark D. Wilkinson +9 more
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Due to their advantages of a high voltage, high specific capacity, long cycling life, low pollution, etc., lithium-ion batteries are widely used in consumer electronics, such as smart phones and laptops.
Shuiqin Zhou +4 more
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Computational catalysis is playing an increasingly significant role in the design of catalysts across a wide range of applications. A common task for many computational methods is the need to accurately compute the adsorption energy for an adsorbate and ...
Janice Lan +8 more
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The Fairness in Algorithmic Fairness [PDF]
With the increasing use of algorithms in high-stakes areas such as criminal justice and health has come a significant concern about the fairness of prediction-based decision procedures. In this article I argue that a prominent class of mathematically incompatible performance parity criteria can all be understood as applications of John Broome’s account
openaire +2 more sources
Music Intervention in Human Life, Work, and Disease: A Survey
Digital music has various characteristics, such as melody, rhythm, timbre, and harmony. According to these characteristics, music can be classified using artificial intelligence (AI).
Jia Gu +6 more
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Fair Is Not Fair Everywhere [PDF]
Distributing the spoils of a joint enterprise on the basis of work contribution or relative productivity seems natural to the modern Western mind. But such notions of merit-based distributive justice may be culturally constructed norms that vary with the social and economic structure of a group.
Schäfer, Marie +2 more
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Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer
The evaluation and prediction of credit risk have always been a research hotspot to ensure the healthy and orderly development of the credit market. Most researchers use deep learning to predict credit risk.
Zhida Shang +5 more
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FAIR Digital Twins for Data-Intensive Research
Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine ...
Erik Schultes +14 more
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Updates on Lisfranc Complex Injuries
Lisfranc injuries are a disruption of one or more of the tarsometatarsal joints and have an estimated incidence of 1/55 000 people. However, the total number of Lisfranc injuries could be underreported, because almost 20% of these injuries are initially ...
Alan Yan MD +4 more
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Open Science and the reuse of publicly funded research data in the new Directive (EU) 2019/1024 [PDF]
Directive 2019/1024/EU aims at establishing a Single Market of publicly funded research data, where the latter become freely available for reuse to any EU stakeholder for commercial and non-commercial purposes.
Sara Gobbato
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