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Darya

Darya Burakov, Yonkers, NY US

Patent application numberDescriptionPublished
20100304436Fucosylation-Deficient Cells - An isolated nucleic acid encoding an FX protein having a serine at position 12-02-2010

Darya Kiryushko, Copenhagen DK

Patent application numberDescriptionPublished
20100040623NEURITOGENIC AND NEURONAL SURVIVAL PROMOTING PEPTIDES DERIVED FROM THE FAMILY OF S-100 PROTEINS - The present invention relates to peptide fragments derived from proteins of the S-100 family promoting neural cell survival, differentiation and proliferation. The invention further relates to pharmaceutical compositions comprising said peptide fragments and uses thereof for treatment of diseases and conditions where the effects of stimulating neural cell proliferation, differentiation and/or survival, and/or stimulating neural plasticity associated with learning and memory are beneficial for treatment.02-18-2010

Darya Mazandarany, San Diego, CA US

Patent application numberDescriptionPublished
20090013399Secure Network Privacy System - The invention provides a method and system of receiving communications from a network device in a network to a source of network data and establishing a secure and/or authenticated network connection between the network device and the source that appears to the network device as a direct connection to the source of network data. Broadly conceptualized, the method and system may also include a parsing module that modifies the network data passing back and forth between the network device and the source of network data.01-08-2009

Darya Mustafina, Moscow RU

Patent application numberDescriptionPublished
20110087459CLEANUP PREDICTION AND MONITORING - The examples described herein relate to methods and apparatus for cleanup prediction and monitoring. A disclosed method of predicting cleanup of a sample fluid obtained by a downhole tool includes drawing the sample fluid into the downhole tool via a probe assembly; measuring optical densities of the sample fluid at a plurality of different respective times; selecting at least some of the measured optical densities as fitting points; identifying one or more inversion parameters; and performing, via a processor, an inversion using the fitting points, the inversion parameters and simulation data to generate data associated with a predicted cleanup of the sample fluid.04-14-2011