Results 71 to 80 of about 617,908 (340)

Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices

Ain Shams Engineering Journal, 2017
The underlying system models of time series prediction are complex and not known a priori, hence, accurate and unbiased estimation cannot be always achieved using well known linear techniques.
S.C. Nayak, B.B. Misra, H.S. Behera
doaj   +1 more source

Asymptotic analysis of multiscale approximations to reaction networks

, 2006
A reaction network is a chemical system involving multiple reactions and chemical species. Stochastic models of such networks treat the system as a continuous time Markov chain on the number of molecules of each species with reactions as possible ...
Ball, Karen, Kurtz, Thomas G., Popovic, Lea, Rempala, Greg   +3 more
core   +3 more sources

Generalization Capability of Convolutional Neural Networks for Progress Variable Variance and Reaction Rate Subgrid-Scale Modeling

Energies, 2021
Deep learning has recently emerged as a successful approach to produce accurate subgrid-scale (SGS) models for Large Eddy Simulations (LES) in combustion.
Victor Xing, Corentin Lapeyre, Thomas Jaravel, Thierry Poinsot   +3 more
doaj   +1 more source

Chemical reservoir computation in a self-organizing reaction network

Nature
Chemical reaction networks, such as those found in metabolism and signalling pathways, enable cells to process information from their environment1,2.
Mathieu G Baltussen, Thijs J de Jong, Q. Duez, William E Robinson, Wilhelm T. S. Huck   +4 more
semanticscholar   +1 more source

Required Levels of Catalysis for Emergence of Autocatalytic Sets in Models of Chemical Reaction Systems

International Journal of Molecular Sciences, 2011
The formation of a self-sustaining autocatalytic chemical network is a necessary but not sufficient condition for the origin of life. The question of whether such a network could form “by chance” within a sufficiently complex suite of molecules and ...
W. Hordijk, S. Kauffman, M. Steel
semanticscholar   +1 more source

Moment fitting for parameter inference in repeatedly and partially observed stochastic biological models.

PLoS ONE, 2012
The inference of reaction rate parameters in biochemical network models from time series concentration data is a central task in computational systems biology.
Philipp Kügler
doaj   +1 more source

FoxO1 signaling in B cell malignancies and its therapeutic targeting

FEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac, Petra Pavelkova, Laura Ondrisova, Marek Mraz   +3 more
wiley   +1 more source

Stochastic theory of large-scale enzyme-reaction networks: Finite copy number corrections to rate equation models

, 2010
Chemical reactions inside cells occur in compartment volumes in the range of atto- to femtolitres. Physiological concentrations realized in such small volumes imply low copy numbers of interacting molecules with the consequence of considerable ...
Alberts B., Arthur V. Straube, Cornish-Bowden A., Philipp Thomas, Ramon Grima, VanKampen N. G., Walsh C. T.   +6 more
core   +1 more source

Integration of hydraulic and water quality modelling in distribution networks : EPANET-PMX [PDF]

, 2017
Simulation models for water distribution networks are used routinely for many purposes. Some examples are planning, design, monitoring and control. However, under conditions of low pressure, the conventional models that employ demand-driven analysis ...
Seyoum, Alemtsehay G., Tanyimboh, Tiku T.   +1 more
core   +1 more source

Hierarchical Harmonization of Atom-Resolved Metabolic Reactions across Metabolic Databases

Metabolites, 2021
Metabolic models have been proven to be useful tools in system biology and have been successfully applied to various research fields in a wide range of organisms.
Huan Jin, Hunter N. B. Moseley
doaj   +1 more source