We have seen important strides in our understanding of mechanisms underlying stroke recovery, yet effective translational links between basic and applied sciences, as well as from big data to individualized therapies, are needed to truly develop a cure for stroke. We present such an approach using The Virtual Brain (TVB), a neuroinformatics platform that uses empirical neuroimaging data to crea...

The study investigated the effect of 10% aqueous extracts ginger, garlic and onion on quality shelf life frozen chevon pork as reflected by changes in values 2-thiobartituric acid reactive substances (2-TBARS) total volatile basic nitrogen (TVB-N) over a 14 day storage under conditions.  pH, 2-TBARS TVB-N were measured from at -20°C after days. resulted low pH 5.63, 5.79 5.67 for mixed...

In this paper we consider Time-Varying Block (TVB) codes, which generalize a number of previous synchronization error-correcting codes. We also consider various practical issues related to MAP decoding of these codes. Specifically, we give an expression for the expected distribution of drift between transmitter and receiver due to synchronization errors. We determine an appropriate choice for s...

Avian leukosis virus (ALV) requires endocytosis and a low pH step for successful viral entry. Here we report that transient treatment with lysosomotropic agents was not sufficient to block ALV subgroup B (ALV-B) entry, while it completely inhibited uptake of the pH-dependent Semliki Forest virus. Extended incubations with lysosomotropic agents were required to block ALV-B entry, suggesting that...

Therapies that target tumor metabolism represent a new horizon in anticancer therapies. In particular, cancer cells are dependent on the generation of lipids, which are essential for cell membrane synthesis, modification of proteins, and localization of many oncogenic signal transduction enzymes. Because fatty acids are the building blocks of these important lipids, fatty acid synthase (FASN) e...

Large amounts of multimodal neuroimaging data are acquired every year worldwide. In order to extract high-dimensional information for computational neuroscience applications standardized data fusion and efficient reduction into integrative data structures are required. Such self-consistent multimodal data sets can be used for computational brain modeling to constrain models with individual meas...