Communicating via ignorance: Increasing communication capacity via superposition of order

Classically, no information can be transmitted through a depolarising, that is a completely noisy, channel. We show that by combining a depolarising channel with another channel in an indefinite causal order---that is, when there is superposition of the order that these two channels were applied---it becomes possible to transmit significant information. We consider two limiting cases. When both channels are fully-depolarising, the ideal limit is communication of 0.049 bits; experimentally we achieve $(3.4{\pm}0.2){\times}10^{-2}$ bits. When one channel is fully-depolarising, and the other is a known unitary, the ideal limit is communication of 1 bit. We experimentally achieve 0.64${\pm}$0.02 bits. Our results offer intriguing possibilities for future communication strategies beyond conventional quantum Shannon theory

New approach to Dynamical Monte Carlo Methods: application to an Epidemic Model

A new approach to Dynamical Monte Carlo Methods is introduced to simulate markovian processes. We apply this approach to formulate and study an epidemic Generalized SIRS model. The results are in excellent agreement with the forth order Runge-Kutta Method in a region of deterministic solution. We also demonstrate that purely local interactions reproduce a poissonian-like process at mesoscopic level. The simulations for this case are checked self-consistently using a stochastic version of the Euler Method.Comment: Written with Scientific WorkPlace 3.51 in REVTex4 format, 11 pages with 2 figures in postscript forma

INITIAL PUBLIC OFFERING AND PERFORMANCE OF BRAZILIAN FIRMS

This paper investigates changes in long-term operational and financial performance for a sample of Brazilian companies made initial public offerings (IPO's) shares, in the period 2002-2008. This period showed a historically high number of IPOs, a heavily discontinued phenomenon with the international financial crisis of 2008. As performance measures were chosen six financial indicators usually adopted in the literature in periods of three years pre-IPO, year of listing and three years post-IPO. The indicators evaluated were size, growth rate, profitability, financial leverage, investment level and investment rate. The results show evidence that, on average, there were statistically significant improvements in size, profitability, investment level and investment rate. But there was no evidence statistically significant changes in the growth rate and financial leverage after the IPO of Brazilian firms

Scalable processing and autocovariance computation of big functional data

This is the peer reviewed version of the following article: Brisaboa NR, Cao R, Paramá JR, Silva-Coira F. Scalable processing and autocovariance computation of big functional data. Softw Pract Exper. 2018; 48: 123–140 which has been published in final form at https://doi.org/10.1002/spe.2524 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.[Abstract]: This paper presents 2 main contributions. The first is a compact representation of huge sets of functional data or trajectories of continuous-time stochastic processes, which allows keeping the data always compressed even during the processing in main memory. It is oriented to facilitate the efficient computation of the sample autocovariance function without a previous decompression of the data set, by using only partial local decoding. The second contribution is a new memory-efficient algorithm to compute the sample autocovariance function. The combination of the compact representation and the new memory-efficient algorithm obtained in our experiments the following benefits. The compressed data occupy in the disk 75% of the space needed by the original data. The computation of the autocovariance function used up to 13 times less main memory, and run 65% faster than the classical method implemented, for example, in the R package.This work was supported by the Ministerio de Economía y Competitividad (PGE and FEDER) under grants [TIN2016-78011-C4-1-R; MTM2014-52876-R; TIN2013-46238-C4-3-R], Centro para el desarrollo Tecnológico e Industrial MINECO [IDI-20141259; ITC-20151247; ITC-20151305; ITC-20161074]; Xunta de Galicia (cofounded with FEDER) under Grupos de Referencia Competitiva grant ED431C-2016-015; Xunta de Galicia-Consellería de Cultura, Educación e Ordenación Universitaria (cofounded with FEDER) under Redes grants R2014/041, ED341D R2016/045; Xunta de Galicia-Consellería de Cultura, Educación e Ordenación Universitaria (cofounded with FEDER) under Centro Singular de Investigación de Galicia grant ED431G/01.Xunta de Galicia; D431C-2016-015Xunta de Galicia; R2014/041Xunta de Galicia; ED341D R2016/045Xunta de Galicia; ED431G/0

Thermal runaway, dynamic stability and process control in flash sintering

Flash sintering is an innovative sintering method in which a critical combination of electrical field and temperature triggers a sudden densification in seconds. Due to the nature of the process, the flash sintering conditions lead to a non-linear conductivity surge followed by current control. This work tries to answer some questions related to process control during flash sintering by using a dynamic system model-based approach. An explicit solution for the folding points in the voltage control mode is presented (Figure 1). The analytical model uses a dynamic bifurcation approach which explains why the current control mode always leads to a steady state, due to the unicity of the solution to the equations, and why different modes of flash sintering such as current-controlled or power-controlled lead to a more uniform process. The model is validated with experiments in Cerium Oxide doped with Gadolinium and Yttrium. Please click Additional Files below to see the full abstract