We study experimentally an instrument to prevent bank runs in healthy banks. In particular, we extend the basic bank-run game, where depositors choose between withdrawing or keeping their money deposited, with a third option, possibility relocate funds priority account that is less profitable, but which guarantees payoff even run. Theoretically, use of this dominates withdrawals for without liq...

One of the major challenges in testing a System-on-aChip (SOC) is dealing with the large test data size. To reduce the volume of test data, several test data compression techniques have been proposed. Frequencydirected run-length (FDR) code is a variable-to-variable run length code based on encoding runs of 0’s. In this work, we demonstrate that higher test data compression can be achieved base...

Data parallel simulation involves simulating the behavior of a circuit over a number of test sequences simultaneously. Compared to other parallel simulation techniques, data parallel simulation requires less overhead for synchronization and communication, and it permits higher degrees of parallelism. We have implemented two data parallel versions of the switch-level simulator COSMOS. The rst ru...

We participated in the NTCIR-13 OpenLiveQ Task in view of improving the baseline method, which is a linear combination of 77 features with different weights. We added three settings of extended BM25F as additional features, replaced the target function of weight optimization and recalculated feature weights using 5-fold cross validation. Our run achieved the best Q-measure score among 10 runs i...

One of the major challenges in testing a System-on-a-Chip (SOC) is dealing with the large test data size. To reduce the volume of test data, several test data compression techniques have been proposed. Frequencydirected run-length (FDR) code is a variable-to-variable run length code based on encoding runs of 0’s. In this work, we demonstrate that higher test data compression can be achieved bas...

The interaction of BRICS stock markets with the United States is studied using an asymmetric Granger causality test based on the frequency domain. This type of analysis allows for both positive and negative shocks over different horizons. There is a clear bivariate causality that runs both ways between the United States stock market and the respective BRICS markets. In addition, both negative a...

One way to speed up the algorithm configuration task is to use short runs instead of long runs as much as possible, but without discarding the configurations that eventually do well on the long runs. We consider the problem of selecting the top performing configurations of the Conditional Markov Chain Search (CMCS), a general algorithm schema that includes, for examples, VNS. We investigate how...