نتایج جستجو برای: dcca

تعداد نتایج: 125  

Journal: :Toxicological sciences : an official journal of the Society of Toxicology 2012
Rogelio Tornero-Velez Jimena Davis Edward J Scollon James M Starr R Woodrow Setzer Michael-Rock Goldsmith Daniel T Chang Jianping Xue Valerie Zartarian Michael J DeVito Michael F Hughes

Permethrin is a broad-spectrum pyrethroid insecticide and among the most widely used insecticides in homes and crops. Managing the risks for pesticides such as permethrin depends on the ability to consider diverse exposure scenarios and their relative risks. Physiologically based pharmacokinetic models of delta methrin disposition were modified to describe permethrin kinetics in the rat and hum...

2015
Qingju Fan Dan Li

In this paper, we investigate the multiscale cross-correlations between electricity price and trading volume in Czech market based on a newly developed algorithm, called Multifractal Cross-Correlation Analysis (MFCCA). The new algorithm is a natural multifractal generalization of the Detrended Cross-Correlation Analysis (DCCA), and is sensitive to cross-correlation structure and free from limit...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2009
Boris Podobnik Davor Horvatic Alexander M Petersen H Eugene Stanley

In finance, one usually deals not with prices but with growth rates R, defined as the difference in logarithm between two consecutive prices. Here we consider not the trading volume, but rather the volume growth rate R, the difference in logarithm between two consecutive values of trading volume. To this end, we use several methods to analyze the properties of volume changes |R|, and their rela...

Journal: :Entropy 2013
Gangjin Wang Chi Xie Yi-Jun Chen Shou Chen

We investigate the statistical properties of the foreign exchange (FX) network at different time scales by two approaches, namely the methods of detrended cross-correlation coefficient (DCCA coefficient) and minimum spanning tree (MST). The daily FX rates of 44 major currencies in the period of 2007–2012 are chosen as the empirical data. Based on the analysis of statistical properties of cross-...

2015
Naiming Yuan Zuntao Fu Huan Zhang Lin Piao Elena Xoplaki Juerg Luterbacher

In this paper, a new method, detrended partial-cross-correlation analysis (DPCCA), is proposed. Based on detrended cross-correlation analysis (DCCA), this method is improved by including partial-correlation technique, which can be applied to quantify the relations of two non-stationary signals (with influences of other signals removed) on different time scales. We illustrate the advantages of t...

2016
Ke Li Na Wei Shouwei Yue

This study investigated the effects of fingertip tactile sensitivity on the structural variability of thumb and index finger forces during stable precision grip. Thirty right-handed healthy subjects participated in the experiment. Transient perturbation of tactile afferents was achieved by wrapping up the distal pads of the thumb or index finger with transparent polyethylene films. The time-dep...

Journal: :Food chemistry 2014
Lucas Daniel Tivana Jose Da Cruz Francisco Felix Zelder Bjorn Bergenståhl Petr Dejmek

In this study, we extend pioneering studies and demonstrate straightforward applicability of the corrin-based chemosensor, aquacyanocobyrinic acid (ACCA), for the instantaneous detection and rapid quantification of endogenous cyanide in fresh and processed cassava roots. Hydrolytically liberated endogenous cyanide from cyanogenic glycosides (CNp) reacts with ACCA to form dicyanocobyrinic acid (...

Journal: :ISPRS Int. J. Geo-Information 2017
Jianjun Cao Jiaming Na Jilong Li Guoan Tang Xuan Fang Liyang Xiong

The Loess Plateau in China is internationally known for its unique geographical features and has therefore been studied by many researchers. This research exploits the regional differences in the spatial morphological characteristics of Loess shoulder lines in different landform types as an important basis for geomorphological regionalization. In this study, we used ensemble empirical mode deco...

Journal: :CoRR 2017
Francisco Raposo David Martins de Matos Ricardo Ribeiro Suhua Tang Yi Yu

Modeling of music audio semantics has been previously tackled through learning of mappings from audio data to high-level tags or latent unsupervised spaces. The resulting semantic spaces are theoretically limited, either because the chosen high-level tags do not cover all of music semantics or because audio data itself is not enough to determine music semantics. In this paper, we propose a gene...

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