scholarly journals Reduced Models in Chemical Kinetics via Nonlinear Data-Mining

Processes ◽  
2014 ◽  
Vol 2 (1) ◽  
pp. 112-140 ◽  
Author(s):  
Eliodoro Chiavazzo ◽  
Charles Gear ◽  
Carmeline Dsilva ◽  
Neta Rabin ◽  
Ioannis Kevrekidis
Keyword(s):  
Data Mining ◽  
Chemical Kinetics ◽  
Reduced Models

scholarly journals Learning dynamic Boltzmann distributions as reduced models of spatial chemical kinetics

2018 ◽  
Vol 149 (3) ◽  
pp. 034107 ◽  
Author(s):  
Oliver K. Ernst ◽  
Thomas Bartol ◽  
Terrence Sejnowski ◽  
Eric Mjolsness
Keyword(s):  
Chemical Kinetics ◽  
Reduced Models ◽  
Learning Dynamic

Reduced Models for Chemical Kinetics derived from Parallel Ensemble Simulations of Stirred Reactors

2020 ◽  
Author(s):  
Pei Zhang ◽  
Ramanan Sankaran ◽  
Miroslav Stoyanov ◽  
Damien Lebrun-Grandie ◽  
Charles E. Finney
Keyword(s):  
Chemical Kinetics ◽  
Reduced Models ◽  
Ensemble Simulations ◽  
Stirred Reactors

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

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