Results 101 to 110 of about 110,412 (287)
Enablers and Disablers of implementing FAIR and CARE principles: A Systematic Review
Dataset on the Enablers and Disablers of implementing FAIR and CARE ...
Chesters, Racheal +3 more
core +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
AUDITING FAIR VALUES IN A SENSITIVE SOCIO-ECONOMICAL CONTEXT [PDF]
The concept of fair value was subject of many debates and disputes in recentyears. These debates have focused mainly on the relevance of the concept, but also on thepractical difficulties in determining reasonable estimates, raising particularly the ...
Nicoleta Farcane +2 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
Econometric Modeling as Information Aggregation [PDF]
A forecast produced by an econometric model is a weighted aggregate of predetermined variables in the model. In many models the number of predetermined variables used is very large, often exceeding the number of observations. A method is proposed in this
Ray C. Fair, Robert J. Shiller
core
FAIR Data Maturity Model. Specification and Guidelines
, 2020 Findability, Accessibility, Interoperability and Reusability – the FAIR principles – intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access ...
FAIR Data Maturity Model Working Group
core +1 more source
Code4Lib Journal, 2018 Many heritage institutions would like their collections to be open and reusable but fail to achieve that situation because of organizational, legal and technological barriers.
Lukas Koster +1 more
doaj
FAIR Principles Implementation in ML/AI - Findings from Skills4EOSC Delphi Study
International Journal of Digital CurationImplementing the FAIR (Findable, Accessible, Interoperable, and Reusable) principles for scientific data management in machine learning (ML) and artificial intelligence (AI) offers numerous benefits, including higher model reliability, more collaborative
Elda Osmenaj +4 more
doaj +1 more source
, 2022 This paper describes how implementation of data discovery and access services that comply with Virtual Observatory (VO) standards also provide compliance with the "FAIR Guiding Principles for scientific data management and stewardship", published in 2016.
openaire +2 more sources