Bivariate sea-ice assimilation for global-ocean analysis–reanalysis [PDF]
Ocean Science, 2023 In the last decade, various satellite missions have been monitoring the status of the cryosphere and its evolution. Besides sea-ice concentration data, available since the 1980s, sea-ice thickness retrievals are now ready to be used in global operational
A. Cipollone +6 more
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STTM: an efficient approach to estimating news impact on stock movement direction [PDF]
PeerJ Computer Science, 2022 Open text data, such as financial news, are thought to be able to affect or to describe stock market behavior, however, there are no widely accepted algorithms for extracting the relationship between stock quotes time series and fast-growing textual ...
Aleksei Riabykh +3 more
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Incorporating Unmodeled Dynamics Into First-Principles Models Through Machine Learning
IEEE Access, 2021 First-principles modeling of dynamical systems is a cornerstone of science and engineering and has enabled rapid development and improvement of key technologies such as chemical reactors, electrical circuits, and communication networks.
Ward Quaghebeur +2 more
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Bayesian Joint Modeling Analysis of Longitudinal Proportional and Survival Data
Mathematics, 2023 This paper focuses on a joint model to analyze longitudinal proportional and survival data. We utilize a logit transformation on the longitudinal proportional data and employ a partially linear mixed-effect model. With this model, we estimate the unknown
Wenting Liu +3 more
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Non-Parametric Non-Inferiority Assessment in a Three-Arm Trial with Non-Ignorable Missing Data
Mathematics, 2023 A three-arm non-inferiority trial including a placebo is usually utilized to assess the non-inferiority of an experimental treatment to a reference treatment.
Wei Li, Yunqi Zhang, Niansheng Tang
doaj +1 more source
BioData Mining, 2020 Background Various combinations of ultrasonographic (US) characteristics are increasingly utilized to classify thyroid nodules. But they lack theories, and heavily depend on radiologists’ experience, and cannot correctly classify thyroid nodules.
Dan Chen +5 more
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High-Dimensional Variable Selection for Quantile Regression Based on Variational Bayesian Method
Mathematics, 2023 The quantile regression model is widely used in variable relationship research of moderate sized data, due to its strong robustness and more comprehensive description of response variable characteristics.
Dengluan Dai, Anmin Tang, Jinli Ye
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The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product
Frontiers in Earth Science, 2022 Global ocean reanalyses provide consistent and comprehensive records of ocean and sea ice variables and are therefore of pivotal significance for climate studies, particularly in data-sparse regions such as Antarctica.
Doroteaciro Iovino +4 more
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The bulk parameterizations of turbulent air–sea fluxes in NEMO4: the origin of sea surface temperature differences in a global model study [PDF]
Geoscientific Model Development, 2022 Wind stress and turbulent heat fluxes are the major driving forces that modify the ocean dynamics and thermodynamics. In the Nucleus for European Modelling of the Ocean (NEMO) ocean general circulation model, these turbulent air–sea fluxes (TASFs) can ...
G. Bonino +3 more
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Common Data Model for Neuroscience Data and Data Model Exchange [PDF]
Journal of the American Medical Informatics Association, 2001 Generalizing the data models underlying two prototype neurophysiology databases, the authors describe and propose the Common Data Model (CDM) as a framework for federating a broad spectrum of disparate neuroscience information resources.Each component of the CDM derives from one of five superclasses-data, site, method, model, and reference-or from ...
D, Gardner +6 more
openaire +2 more sources