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Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data
Constructing Structure Ensembles Intrinsically Disordered Proteins Chemical Shift Data
2016/1/22
Modeling the structural ensemble of intrinsically disordered proteins (IDPs),which lack fixed structures, is essential in understanding their cellular functions and re-vealingtheirregulationmechanisms...
Accelerating simulation of ensembles of locally differing optical structures via a Schur complement domain decomposition
Accelerating simulation optical structures Schur complement domain decomposition
2015/8/6
We present a Schur complement domain decomposition method that can significantly accelerate simulation of ensembles of locally differing optical structures. We apply the method to design a multi-spati...
Lossy Source Coding via Spatially Coupled LDGM Ensembles
Lossy Source Coding Spatially Coupled LDGM Ensembles
2012/2/27
We study a new encoding scheme for lossy source compression based on spatially coupled low-density generator-matrix codes. We develop a belief-propagation guided-decimation algorithm, and show that th...
We introduce a new procedure for training of artificial neural networks by using the approximation of an objective function by arithmetic mean of an ensemble of selected randomly generated neural netw...
Avalanche and Bit Independence Properties for the Ensembles of Randomly Chosen n \times n S-Boxes
Avalanche and Bit Independence Properties Ensembles n \times n S-Boxes
2009/7/27
Cryptographic test methods such as avalanche, strict avalanche and bit independence criteria, which measure the degree of security of the s-boxes of substitution-permutation networks, are applied to r...