An appealing strategy for reconstructing the timing and tempo of paleoenvironmental change from sedimentary strata is to linearly interpolate between marker beds known age. This method requires significant assumptions, but more advanced age modeling methods are usually not feasible. We used experiments explore how changes in processes invalidate these assumptions affect estimates time strata. W...

Super-Resolving (SR) video is more challenging compared with image super-resolution because of the demanding computation time. To enlarge a low-resolution video, temporal relationship among frames must be fully exploited. We can model SR as multi-frame problem and use deep learning methods to estimate spatial information. This paper proposes lighter residual network, based on multi-stage back p...

Introduction Simultaneous electroencephalography and functional MRI (EEG-fMRI) take advantage of the high temporal resolution of EEG to detect neuronal events of interest, while fMRI can localize, with a high spatial resolution, the hemodynamic response function (HRF) associated with these events. However, the poor temporal resolution of standard fMRI experiments, of the order of seconds, preve...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

We introduce a spectral-interferometry (SI) technique for measuring the complete intensity and phase of relatively long and very complex ultrashort pulses. Ordinarily, such a method would require a high-resolution spectrometer, but our method overcomes this need. It involves making multiple measurements using SI (in its SEA TADPOLE variation) at numerous delays, measuring many temporal pulselet...