Results 81 to 90 of about 95,553 (284)
Results in Physics, 2017 The concept of differentiation with the generalized Mittag-Leffler law is used in this paper to construct the model of movement of groundwater pollution with degradation and limited sorption. The fractional differentiation used in the model is in Riemann-
Badr Saad T. Alkahtani, Abdon Atangana
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Phosphoinositides and inositol phosphates as molecular glues
FEBS Letters, EarlyView.Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry +9 more
wiley +1 more source
Mini-symposium on automatic differentiation and its applications in the financial industry
ESAIM: Proceedings and Surveys, 2017 Automatic differentiation has been involved for long in applied mathematics as an alternative to finite difference to improve the accuracy of numerical computation of derivatives.
Geeraert Sébastien +4 more
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FEBS Letters, EarlyView.Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara +3 more
wiley +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Precise Numerical Differentiation of Thermodynamic Functions with Multicomplex Variables. [PDF]
J Res Natl Inst Stand Technol, 2021 Deiters UK, Bell IH.
europepmc +1 more source
Error bounds for kernel-based numerical differentiation [PDF]
, 2016 The literature on meshless methods shows that kernel-based numerical differentiation formulae are robust and provide high accuracy at low cost. This paper analyzes the error of such formulas, using the new technique of growth functions.
Davydov, Oleg, Schaback, Robert
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PyNumDiff: A Python package for numerical differentiation of noisy time-series data. [PDF]
J Open Source Softw, 2022 Van Breugel F +3 more
europepmc +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS 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
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A Variational Method for Numerical Differentiation [PDF]
, 1995 this paper, we suggest a method for numerical differentiation that we believe avoids some of the limitations mentioned above. Given a real valued, smooth function u defined on the closed interval [a; b], we construct an associated ...
Robert Wallace, Ian Knowles
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