Results 81 to 90 of about 33,861 (297)
Markovian language model of the DNA and its information content [PDF]
Royal Society Open Science, 2016 This work proposes a Markovian memoryless model for the DNA that simplifies enormously the complexity of it. We encode nucleotide sequences into symbolic sequences, called words, from which we establish meaningful length of words and groups of words that
S. Srivastava, M. S. Baptista
doaj +1 more source
Advanced Engineering Materials, EarlyView.Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Inferring symbolic dynamics of chaotic flows from persistence [PDF]
, 2020 We introduce “state space persistence analysis” for deducing the symbolic dynamics of time series data obtained from high-dimensional chaotic attractors.
Yalniz, Gökhan ; https://orcid.org/ +1 more
core +1 more source
Applied Sciences, 2020 Prognostics and Health Management technologies are useful for early fault detection and optimization of reliability in mechanical systems. Reciprocating compressors units are commonly used in industry for gas pressurization and transportation, and the ...
Mariela Cerrada +5 more
doaj +1 more source
Karl Popper and the Mechanisms of Hydrogen Embrittlement
Advanced Engineering Materials, EarlyView.Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley +1 more source
Symbolic Time Series Analysis in Economics [PDF]
In this paper I describe and apply the methods of Symbolic Time Series Analysis (STSA) to an experimental framework. The idea behind Symbolic Time Series Analysis is simple: the values of a given time series data are transformed into a finite set of ...
Juan Gabriel Brida
core
Symbolic Dynamics and its Applications [PDF]
, 2005 Book review of Symbolic Dynamics and its Applications, edited by Susan Williams ...
Sullivan, Michael C.
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Symbolic dynamics for chaotic systems [PDF]
, 1990 Deng, Bo. (1990). Symbolic dynamics for chaotic systems.
Deng, Bo
core
Symbolic dynamics and hyperbolic groups [PDF]
, 1993 Gromov's theory of hyperbolic groups have had a big impact in combinatorial group theory and has deep connections with many branches of mathematics suchdifferential geometry, representation theory, ergodic theory and dynamical systems.
Papadopoulos, Athanase +1 more
core +1 more source