Results 61 to 70 of about 3,290,751 (273)
Probabilistic Inference for Dynamical Systems
Entropy, 2018 A general framework for inference in dynamical systems is described, based on the language of Bayesian probability theory and making use of the maximum entropy principle.
Sergio Davis +2 more
doaj +1 more source
Maximum entropy PDF projection: A review
, 2022 Art. 070001We review maximum entropy (MaxEnt) PDF projection, a method with wide potential applications in statistical inference. The method constructs a sampling distribution for a high-dimensional vector x based on knowing the sampling distribution p(z)
Baggenstoss, P.M.
core +1 more source
FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Entropy production in an energy balance Daisyworld model
, 2008 Daisyworld is a simple mathematical model of a planetary system that exhibits self-regulation due to the nature of feedback between life and its environment.
Dyke, J. G.
core +1 more source
Maximum Entropy Probability Density Principle in Probabilistic Investigations of Dynamic Systems
Entropy, 2018 In this study, we consider a method for investigating the stochastic response of a nonlinear dynamical system affected by a random seismic process. We present the solution of the probability density of a single/multiple-degree of freedom (SDOF/MDOF ...
Jiří Náprstek, Cyril Fischer
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Stochastic Reorder Point-Lot Size (r,Q) Inventory Model under Maximum Entropy Principle
Entropy, 2015 This paper takes into account the continuous-review reorder point-lot size (r,Q) inventory model under stochastic demand, with the backorders-lost sales mixture.
Davide Castellano
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Heterotropic regulation and negative homotropic cooperativity
FEBS Open Bio, EarlyView.We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea +5 more
wiley +1 more source
MAXIMUM PRINCIPLE FOR SUBSONIC FLOW WITH VARIABLE ENTROPY
Научный вестник МГТУ ГА, 2017 Maximum principle for subsonic flow is fair for stationary irrotational subsonic gas flows. According to this principle, if the value of the velocity is not constant everywhere, then its maximum is achieved on the boundary and only on the boundary of the
G. B. Sizykh
doaj