The monetary incentive delay task was used to characterize reward anticipation and delivery with concurrently acquired evoked magnetic fields, EEG potentials and EEG/MEG oscillatory responses, obtaining a precise portrayal of their spatiotemporal evolution. In the anticipation phase, differential activity was most prominent over midline electrodes and parieto-occipital sensors. Differences betw...

Spatiotemporal data model, which is the basis of spatiotemporal information management, deals with the representation and manipulation of spatiotemporal data. So far many spatiotemporal data models have been proposed, but most of them concentrated on the representation of spatiotemporal objects and few of them make systematic studies on spatiotemporal relationships. Based on the semantics of sp...

Multi-hypothesis motion-compensated prediction extends traditional motion-compensated prediction used in video coding schemes. Known algorithms for block-based multi-hypothesis motion-compensated prediction are, for example, overlapped block motion compensation (OBMC) and bidirectionally predicted frames (B-frames). This paper presents a generalization of these algorithms in a rate-distortion f...

Objectives: The aim of this study was to extract suitable spatiotemporal and kinematic parameters to determine how Total Knee Replacement (TKR) alters patients’ knee kinematics during gait, using a rapid and simplified quantitative two-dimensional gait analysis procedure. Methods: Two-dimensional kinematic gait pattern of 10 participants were collected before and after the TKR surgery,...

The rapid development of remote sensing technology has brought abundant data support for deep learning based temperature forecasting research. However, recently proposed methods usually focus on the temporal relationship among observation information, whereas ignore spatial positions different regions. Motivated by that adjacent regions present similar trends, in this paper we consider as a spa...

Spatiotemporal fusion (STF) is considered a feasible and cost-effective way to deal with the trade-off between spatial temporal resolution of satellite sensors, generate images high resolutions. This achieved by fusing two types images, i.e., fine but rough resolution, resolution. Numerous STF methods have been proposed, however, it still challenge predict both abrupt landcover change, phenolog...

© 2009 Yun Zhang et al. 151 In this paper, we propose an adaptive multiview video coding scheme based on spatiotemporal correlation analyses using hierarchical B picture (AMVC-HBP) for the integrative encoding performances, including high compression efficiency, low complexity, fast random access, and view scalability, by integrating multiple prediction structures. We also propose an in-coding ...

In the research area of spatio-temporal databases, we need to answer the queries like ”select the objects which will be in a specific area at a future time” quickly and accurately. Solutions to this question include two aspects: a mathematic model to predict future location with adequate accuracy and an index structure that can retrieve the qualified objects quickly. Currently, the proposed fut...

The kinetic stability of non-covalent macromolecular complexes controls many biological phenomena. Here we find that physical models of complex dissociation predict that competitor molecules will, in general, accelerate the breakdown of isolated bimolecular complexes by occluding rapid rebinding of the two binding partners. This prediction is largely independent of molecular details. We confirm...