Spatial Covariance Modeling for Stochastic Subgrid‐Scale Parameterizations Using Dynamic Mode Decomposition
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2020ms002115
Abstract: Stochastic parameterizations are increasingly being used in climate modeling to represent subgrid‐scale processes. While different parameterizations are being developed considering different aspects of the physical phenomena, less attention is given to technical and numerical aspects.… read more here.
Keywords: subgrid scale; dynamic mode; covariance; mode decomposition ... See more keywords
Positron emission tomography imaging of serotonin degeneration and beta-amyloid deposition in late-life depression evaluated with multi-modal partial least squares
Sign Up to like & getrecommendations! Published in 2021 at "Translational Psychiatry"
DOI: 10.1038/s41398-021-01539-9
Abstract: Depression in late-life is associated with increased risk of cognitive decline and development of all-cause dementia. The neurobiology of late-life depression (LLD) may involve both neurochemical and neurodegenerative mechanisms that are common to depression and… read more here.
Keywords: depression; pattern; life depression; late life ... See more keywords
Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold.
Sign Up to like & getrecommendations! Published in 2022 at "Communications biology"
DOI: 10.1038/s42003-022-03302-2
Abstract: Although the impact of genome variation on the thermodynamic properties of function on the protein fold has been studied in vitro, it remains a challenge to assign these relationships across the entire polypeptide sequence in… read more here.
Keywords: biology; cftr fold; variation; residue residue ... See more keywords
Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3264570
Abstract: This paper presents an unsupervised multichannel method that can separate moving sound sources based on an amortized variational inference (AVI) of joint separation and localization. A recently proposed blind source separation (BSS) method called neural… read more here.
Keywords: sound sources; spatial covariance; separation localization; separation ... See more keywords