Citation: Kohout SC and Villalba-Galea CA (2015) Editorial: Phosphoinositides and their phosphatases: Linking electrical and chemical signals in biological processes. The voltage-sensing phosphatase (VSP) has changed the way we think about both cellular electrical activity and PIPs (phosphatidylinositol phosphates). Originally discovered in 1999 (Chen et al., 1999), these proteins were not reco...

The sensing of transmembrane electrical potential has long been thought to be unique to voltage-gated ion channels. Recently, however, transmembrane voltage has been shown to regulate the enzymatic activity of a protein, called voltage-sensing phosphatase (VSP), that is conserved across diverse phyla (Murata et al., 2005; Murata and Okamura, 2007; Hossain et al., 2008). In VSP, the voltage sens...

Ci-VSP contains a voltage-sensing domain (VSD) homologous to that of voltage-gated potassium channels. Using charge displacement ('gating' current) measurements we show that voltage-sensing movements of this VSD can occur within 1 ms in mammalian membranes. Our analysis lead to development of a genetically encodable fluorescent protein voltage sensor (VSFP) in which the fast, voltage-dependent ...

The Vertex Separator Problem (VSP) on a graph is the problem of finding the smallest collection of vertices whose removal separates the graph into two disjoint subsets of roughly equal size. Recently, Hager and Hungerford [1] developed a continuous bilinear programming formulation of the VSP. In this paper, we reinforce the bilinear programming approach with a multilevel scheme for learning the...

Abstract The processing efficiency of the widely used time-space (t-x) domain vertical seismic profiling (VSP) wavefield separation methods (such as median and singular value decomposition filtering) via one-dimensional discrete Fourier transform (DFT) depends on method (or algorithm with parameter) total number samples in input VSP data. Once is determined, its set cannot be optimized. Althoug...

Due to a variety of motions across different frames, it is highly challenging learn an effective spatiotemporal representation for accurate video saliency prediction (VSP). To address this issue, we develop feature alignment network tailored VSP, mainly including two key sub-networks: multi-scale deformable convolutional (MDAN) and bidirectional Long Short-Term Memory (Bi-ConvLSTM) network. The...

I realize and analyze a model-based joint tomography scheme in this paper. Surface reflection seismic data and VSP traveltimes are used simultaneously to invert the velocity by using an integrated inversion scheme. Since more data are used, the integrated tomography can obtain more accurate inversion results with lower uncertainty. Using identity operator as integration operator, I apply this m...

In this study, we propose a heterogeneous transcoding method of converting an H.264/Advanced video coding (AVC) Baseline profile (BP) video bitstream into an MPEG-4 Visual simple profile (VSP) video bitstream. The proposed method reduces the spatial resolution for mobile terminals, which support only low resolution video bitstreams. When the H.264/AVC BP video bitstream is transformed into the ...

OBJECTIVE Magnetic resonance (MR) imaging has been used for the detection of cerebral vasospasm (VSP) related infarction in experimental subarachnoid hemorrhage (eSAH) in rats. Conventional angiography is generally used to visualize VSP, which is an invasive technique with a possible increase in morbidity and mortality. In this study we evaluated the validity of MR-angiography (MRA) in detectin...