Results 51 to 60 of about 3,449,019 (273)
Some Notes on Maximum Entropy Utility
The maximum entropy principle is effective in solving decision problems, especially when it is not possible to obtain sufficient information to induce a decision.
Eun Young Kim, Byeong Seok Ahn
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Directed evolution of enzymes at the crossroads of tradition and innovation
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
Maximum Entropy Theory of Ecology: A Reply to Harte
In a paper published in this journal, I addressed the following problem: under which conditions will two scientists, observing the same system and sharing the same initial information, reach the same probabilistic description upon the application of the ...
Marco Favretti
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MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
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
Atomic Structure Modeling of Multi-Principal-Element Alloys by the Principle of Maximum Entropy
Atomic structure models of multi-principal-element alloys (or high-entropy alloys) composed of four to eight componential elements in both BCC and FCC lattice structures are built according to the principle of maximum entropy.
Shaoqing Wang
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Heterotropic regulation and negative homotropic cooperativity
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
Probabilistic Inference for Dynamical Systems
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
(Generalized) Maximum Cumulative Direct, Residual, and Paired Φ Entropy Approach
A distribution that maximizes an entropy can be found by applying two different principles. On the one hand, Jaynes (1957a,b) formulated the maximum entropy principle (MaxEnt) as the search for a distribution maximizing a given entropy under some given ...
Ingo Klein, Monika Doll
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A minimal cellulosome‐like system in Cellulosilyticum lentocellum
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan +2 more
wiley +1 more source
Maximum Entropy Probability Density Principle in Probabilistic Investigations of Dynamic Systems
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
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