Results 61 to 70 of about 9,784 (260)

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

open access: yesFEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure   +3 more
wiley   +1 more source

Covid-19 pandemic data analysis using tensor methods [PDF]

open access: yesComputational Algorithms and Numerical Dimensions
In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm
Dipak Dulal   +2 more
doaj   +1 more source

Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition

open access: yesIET Biometrics, 2021
In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER).
Yunfang Fu   +4 more
doaj   +1 more source

Nonconvex Tensor Relative Total Variation for Image Completion

open access: yesMathematics, 2023
Image completion, which falls to a special type of inverse problems, is an important but challenging task. The difficulties lie in that (i) the datasets usually appear to be multi-dimensional; (ii) the unavailable or corrupted data entries are randomly ...
Yunqing Bai, Jihong Pei, Min Li
doaj   +1 more source

Robust Tensor Completion Using Transformed Tensor SVD

open access: yesCoRR, 2019
In this paper, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform matrices instead of discrete Fourier transform matrix that is used in the traditional tensor SVD. The main motivation is that a lower tubal rank tensor can be obtained by using other unitary transform matrices
Guang-Jing Song   +2 more
openaire   +2 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization

open access: yesIEEE Access, 2019
As a convex surrogate of tensor multi rank, recently the tensor nuclear norm (TNN) obtains promising results in the tensor completion. However, only considering the low-tubal-rank prior is not enough for recovering the target tensor, especially when the ...
Xi-Le Zhao   +4 more
doaj   +1 more source

Efficient tensor completion: Low-rank tensor train

open access: yesCoRR, 2016
11 pages, 9 ...
Ho N. Phien   +3 more
openaire   +2 more sources

Concatenated image completion via tensor augmentation and completion [PDF]

open access: yes2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), 2016
7 pages, 6 figures, submitted to ICSPCS ...
Johann A. Bengua   +3 more
openaire   +2 more sources

Adenosine triphosphate as a modulator of protein interactions and stability

open access: yesFEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

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