Results 51 to 60 of about 8,120,556 (183)

Multiview Bayesian Correlated Component Analysis [PDF]

open access: yesNeural Computation, 2015
Correlated component analysis as proposed by Dmochowski, Sajda, Dias, and Parra ( 2012 ) is a tool for investigating brain process similarity in the responses to multiple views of a given stimulus. Correlated components are identified under the assumption that the involved spatial networks are identical.
Kamronn, Simon   +2 more
openaire   +3 more sources

Characterization of the microbial communities and their correlations with volatile flavor compounds and physicochemical factors in Bashang suancai, a traditional Chinese pickle

open access: yesFrontiers in Microbiology
Bashang suancai is one of the most wellknown traditional fermented vegetables in North China. The study examined the variations in bacterial diversity, physicochemical properties, and volatile flavor compounds (VFCs) of Bashang suancai over a 7-day ...
Yuan Liu   +14 more
doaj   +1 more source

Phase and vortex correlations in Josephson-junction arrays at irrational frustration

open access: yes, 2008
Phase coherence and vortex order in a Josephson-junction array at irrational frustration are studied by extensive Monte Carlo simulations using the parallel tempering method.
Granato, Enzo
core   +2 more sources

Fluorescence Correlation Spectroscopy analysis of segmental dynamics in Actin filaments

open access: yes, 2006
We adapt Fluorescence Correlation spectroscopy (FCS) formalism to the studies of the dynamics of semi-flexible polymers and derive expressions relating FCS correlation function to the longitudinal and transverse mean square displacements of polymer ...
Anne Bernheim-Groswasser   +4 more
core   +2 more sources

Eco-physiological mechanisms age womans obesity: multiple correlation physiological parameter

open access: yesRUDN Journal of Ecology and Life Safety, 2011
In addressing global environmental issues relevant is the multidimensional evaluation system: biomedical, social, economic, moral. Singularity of environmental diseases is that they affect every individual, but only certain part of the population.
M A Gavrilov   +5 more
doaj  

Simultaneous Determination of Ten Nucleosides in New Selenium-enriched Bamboo Shoots by HPLC-FP

open access: yesShipin gongye ke-ji
Objective: To establish a method for simultaneous determination of cytosine, uracil, cytidine, hypoxanthine, uridine, thymidine, adenine, guanosine, thymidine and adenosine in different selenium-rich bamboo shoots.
Xinrui QIN   +9 more
doaj   +1 more source

A rigorous and efficient asymptotic test for power-law cross-correlation [PDF]

open access: yes, 2013
Podobnik and Stanley recently proposed a novel framework, Detrended Cross-Correlation Analysis, for the analysis of power-law cross-correlation between two time-series, a phenomenon which occurs widely in physical, geophysical, financial and numerous ...
Blythe, Duncan A. J.
core  

Changes in Surface Runoff and Temporal Dispersion in a Restored Montane Watershed on the Qinghai–Tibetan Plateau

open access: yesLand
Surface runoff is a major component of the hydrological cycle, and it is essential for supporting the ecosystem services provided by grassland and forest ecosystems.
Xiaofeng Ren   +9 more
doaj   +1 more source

Appropriate Application of Organic Fertilizer Can Effectively Improve Soil Environment and Increase Maize Yield in Loess Plateau

open access: yesAgronomy
Fertilization has a significant impact on soil nutrients and microbiological properties, which, in turn, affect crop yield. However, the specific effects of organic and inorganic fertilizers on soil fertility and microbial characteristics in maize fields,
Yingying Xing   +3 more
doaj   +1 more source

REPRESENTATION-CONSTRAINED CANONICAL CORRELATION-ANALYSIS: A HYBRIDIZATION OF CANONICAL CORRELATION AND PRINCIPAL COMPONENT ANALYSIS [PDF]

open access: yes
The classical canonical correlation analysis is extremely greedy to maximize the squared correlation between two sets of variables. As a result, if one of the variables in the dataset-1 is very highly correlated with another variable in the dataset-2 ...
Sudhanshu K MISHRA
core  

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