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pro vyhledávání: '"Caleb Weaver"'
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
Biclustering is the task of simultaneously clustering the samples and features of a data set. In doing so, subsets of samples that exhibit similar behaviors across subsets of features can be identified. Motivated by a longitudinal diffusion tensor im
Externí odkaz:
https://doaj.org/article/3b96f71a908b464dbd7b77971049be48
Autor:
Caleb Weaver
Publikováno v:
Air, Soil and Water Research, Vol 14 (2021)
The Borderlands Earth Care Youth (BECY) Institute is an example of hands-on environmental education where high school students engage with restoration. BECY inspires and trains the next generation of land stewards by hiring borderland youth to restor
Externí odkaz:
https://doaj.org/article/397f0501a9d4469d99c21ea535c65286
BACKGROUND An enhanced understanding of Parkinson’s disease (PD) in recent years has led to the revelation that the motor symptoms by which we’ve been defining and describing PD are late-stage, downstream consequences of a degenerative process de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85de5fd50852c387c4266dd6da5b264
https://doi.org/10.2196/preprints.48071
https://doi.org/10.2196/preprints.48071
Publikováno v:
Biostatistics
Summary Functional connectivity is defined as the undirected association between two or more functional magnetic resonance imaging (fMRI) time series. Increasingly, subject-level functional connectivity data have been used to predict and classify cli
Publikováno v:
Biometrics.
In functional data analysis for longitudinal data, the observation process is typically assumed to be noninformative, which is often violated in real applications. Thus, methods that fail to account for the dependence between observation times and lo
Autor:
Audrey Rader, Caleb Weaver, Laura M. Norman, Kurt Vaughn, Roy E. Petrakis, Richard Pritzlaff, H. Ronald Pulliam
Publikováno v:
Water, Vol 13, Iss 2955, p 2955 (2021)
Water
Volume 13
Issue 21
Water
Volume 13
Issue 21
Watershed studies are often onerous due to a lack of data available to portray baseline conditions with which to compare results of monitoring environmental effects. A paired-watershed approach is often adopted to simulate baseline conditions in an a