Results 101 to 110 of about 317,661 (275)
copent: Estimating Copula Entropy and Transfer Entropy in R
, 2020 18 pages, 3 ...
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
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Transference and transformation of teleonomic entropy
Behavioral Science, 1986 Teleonomic entropy is a measure of disorder in biopsychosocial systems. How this disorder will be distributed over parts and levels in these systems depends on the kind and strength of the corresponding interaction, which in turn is closely related to the hierarchical ordering in these multilevel systems and their purposes and goals In ...
Katakis, C.D., Katakis, D.F.
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Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
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FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Pressure transfer function of a JT15D nozzle due to acoustic and convected entropy fluctuations [PDF]
An acoustic transmission matrix analysis of sound propagation in a variable area duct with and without flow is extended to include convected entropy fluctuations.
Miles, J. H.
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Causal Feature Selection via Transfer Entropy
2024 International Joint Conference on Neural Networks (IJCNN)Machine learning algorithms are designed to capture complex relationships between features. In this context, the high dimensionality of data often results in poor model performance, with the risk of overfitting. Feature selection, the process of selecting a subset of relevant and non-redundant features, is, therefore, an essential step to mitigate ...
Bonetti, Paolo +2 more
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FEBS Open Bio, EarlyView.The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida +6 more
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Transfer Entropy in Deep Neural Networks
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROLThis paper explores the application of Transfer Entropy (TE) in deep neural networks as a tool to improve training efficiency and analyze causal information flow. TE is a measure of directed information transfer that captures nonlinear dependencies and temporal dynamics between system components.
Razvan Andonie +2 more
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
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