27,943 research outputs found
A New Algorithm for Solving Ring-LPN with a Reducible Polynomial
The LPN (Learning Parity with Noise) problem has recently proved to be of
great importance in cryptology. A special and very useful case is the RING-LPN
problem, which typically provides improved efficiency in the constructed
cryptographic primitive. We present a new algorithm for solving the RING-LPN
problem in the case when the polynomial used is reducible. It greatly
outperforms previous algorithms for solving this problem. Using the algorithm,
we can break the Lapin authentication protocol for the proposed instance using
a reducible polynomial, in about 2^70 bit operations
A Test of the Balassa-Samuelson Effect Applied to Chinese Regional Data
In this paper, we investigate the relevance of the Balassa-Samuelson effect to the determination of regional inflation in China, for the period 1985 â 2000. To do this, we first construct annual measures of Chinese inflation and industry input on regional and sectoral basis. Then we generalise the Asea and Mendoza (1994) settings to consider asymmetric productivity shocks across sectors. Testing this model on Chinese Regional Data aid of non-stationary panel data techniques, it shows that our extended theoretical model is a good empirical representation of the Chinese data that supports the Balassa-Samuelson effect. Moreover, we are able to test the Asea and Mendoza (1994) version of our general model and find that the restrictions are rejected.Balassa-Samuelson effect, productivity shocks, panel data
A Test of the Balassa-Samuelson Effect Applied to Chinese Regional Data
In this paper we investigate the relevance of the Balassa-Samuelson effect to the determination of regional inflation in China, for the period 1985 â 2000. To do this, we first construct annual measures of Chinese inflation and industry input on regional and sectoral basis. Then we generalize the Asea and Mendoza (1994) settings to consider asymmetric productivity shocks across sectors. Testing this model on Chinese Regional Data aid of non-stationary panel data techniques, it shows that our extended theoretical model is a good empirical representation of the Chinese data which supports the Balassa- Samuelson effect. Moreover, we are able to test the Asea and Mendoza (1994) version of our general model and find that the restrictions are rejected.
Non-spectator Contributions To The Lifetime of
In this work, we evaluate the contributions of non-spectator effects to the
lifetimes of and B-mesons. Based on the well-established models and
within a reasonable range of the concerned parameters, the contributions can
reduce the lifetime of by compared to that of B-mesons
which are not significantly affected. This might partly explain the measured
ratio \cite{Data}, which has been a
long-standing discrepancy between theory and experimental data
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