Experimental evidence of intrinsic localized modes (ILMs) in microelectromechanical oscillator arrays has been reported recently. In this paper, we carry out a detailed analysis of a new mechanism for ILMs in typical experimental settings; that is, spatiotemporal chaos is ubiquitous and it provides a natural platform for actual realization of various ILMs through frequency control. We find that...

Selecting differentially expressed genes with respect to some phenotype of interest is a difficult task, especially in the presence of confounding factors. We propose to use a spatiotemporal independent component analysis to model those factors, and to combine information from different spatiotemporal parameter values to improve the set of selected genes. We show on real datasets that the propo...

In this study, chemometric method is employed to identify anthropogenic effects on the water quality in Sanya Bay, South China Sea, and its marine and natural characteristics. Principal component analysis has extracted the four latent factors, thus explaining 85.52% of the total variance. Cluster analysis and principal component analysis have identified three different patterns of water quality...

References 1. Chen F, Sun D, Guo Y, GuoW, Ding Z, Li P, et al. (2015) Spatiotemporal Scan and Age-Period-Cohort Analysis of Hepatitis C Virus in Henan, China: 2005–2012. PLoS ONE 10(6): e0129746. doi: 10.1371/ journal.pone.0129746 PMID: 26075599 2. Chen F, Sun D, Guo Y, GuoW, Ding Z, Li P, et al. (2015) Correction: Spatiotemporal Scan and AgePeriod-Cohort Analysis of Hepatitis C Virus in Henan,...

This paper describes a new three-dimensional spatiotemporal template, namely the Volumetric Motion History Image (VMHI), for the purpose of human motion analysis. Irregularities in human actions typically occur either in speed or orientation; they carry information about the balance and the confidence level of the human subject performing the activity. The proposed VMHI template handles success...

Neural networks composed of excitable neurons with noise generate rich nonlinear dynamics with spatiotemporal structures of neuronal spikes. Among various spatiotemporal patterns of spikes, synchronous firing has been studied most extensively both with physiological experimentation and with theoretical analysis. In this paper, we consider nonlinear neurodynamics in terms of synchronous firing a...

A spatiotemporal data model is incomplete without three components: classes, consistency constraints, and operators. Classes define the structure of the model, constraints enforce consistency in the model, and operators operate on the structure of the model. In the past, many models have been proposed, but most of them discussed the classes. The studies on operators for spatiotemporal data mode...