Results 311 to 320 of about 17,526,649 (388)

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source

Diabetes‐induced vascular calcification is associated with low pyrophosphate and its oral supplementation prevents calcification in diabetic mice

FEBS Open Bio, EarlyView.
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp, Eszter Kozák, Natália Tőkési, Lilian Kocsis, Anikó Kelemen, Zsuzsanna Geszti, Adriána Kutás, Mariann Harangi, Ágnes Diószegi, Zsolt Rapi, József Balla, Olivier Le Saux, András Váradi, Viola Pomozi   +13 more
wiley   +1 more source

Calcium‐sensing receptor induces the apoptosis of chondrocytes in cooperation with phosphate transporter

FEBS Open Bio, EarlyView.
Excess Ca2+ ions activate the Calcium‐Sensing Receptor (CaSR), which subsequently drives the uptake of excess inorganic phosphate (Pi) via the Pi transporter (Pit−1) in chondrocytes. This mechanism causes a toxic increase in intracellular Pi concentration, ultimately leading to chondrocyte apoptosis and pathological mineralization. Excess extracellular
Sachie Nakatani, Hiroya Ueda, Ayumi Kawata, Yuki Sato, Kotomi Inomata, Hiroshi Mano, Masahiro Wada, Kenji Kobata   +7 more
wiley   +1 more source

Evolutionary dynamics of the chloroplast genome in Daphne (Thymelaeaceae): comparative analysis with related genera and insights into phylogenetics

FEBS Open Bio, EarlyView.
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah, Hui Li, Rushan Yan, Chengyu Chen, Madiha Islam, Abdul Majid, Ibrar Ahmed, Parviz Heidari, Xiaoxuan Tian   +8 more
wiley   +1 more source

Liquid Intelligence: Water as a Quantum Biological Medium for Mitochondrial Function, Energy Transfer, and Disease Suppression

Martin Decker, Nicolin Decker
openalex   +1 more source

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Transfer Function

Instrumentation & control systems, 2021
W. Bolton
semanticscholar   +2 more sources

Transfer functions [PDF]

WIREs Computational Statistics, 2010
AbstractIn statistical time‐series analysis, signal processing, and control engineering, a transfer function is a mathematical relationship between a numerical input to a dynamic system and the resulting output. The theory of transfer functions describes how the input/output relationship is affected by the structure of the transfer function. Copyright ©
openaire   +2 more sources

A Meta-Analysis of the Experimental Evidence on the Near- and Far-Transfer Effects Among Children’s Executive Function Skills

Psychological bulletin, 2019
In the present meta-analysis we examined the near- and far-transfer effects of training components of children’s executive functions skills: working memory, inhibitory control, and cognitive flexibility.
R. Kassai, J. Futó, Z. Demetrovics, Z. Takacs   +3 more
semanticscholar   +1 more source

TRANSFER FUNCTION ESTIMATION

Journal of Time Series Analysis, 1993
Abstract.We discuss the problem of estimating the transfer function and an autoregressive model for measurement noise in a linear system. A parameterization that is often more parsimonious than the usual ARX model is used. Particular emphasis is given to the selection of model orders when it is not assumed that the true system is finitely parameterized.
openaire   +2 more sources

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery

IEEE Transactions on Industrial Informatics, 2018
Machine learning is now widely used to detect security vulnerabilities in the software, even before the software is released. But its potential is often severely compromised at the early stage of a software project when we face a shortage of high-quality
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, O. De Vel, Paul Montague   +6 more
semanticscholar   +1 more source