This study investigated strain specific differences to the anxiolytic response to losartan focusing on genetic variation that may influence such responses. This included: AT1 receptor sequence variation, angiotensin II receptor associated protein (ATRAP) and receptor expression between strains. Sequencing of exon 3 of AT1aR revealed no differences between BKW mice (n=6) and C57 and DBA2 strains...

We provide for the first time an asymptotic comparison of all known algorithms for the search version of the Learning with Errors (LWE) problem. This includes an analysis of several lattice-based approaches as well as the combinatorial BKW algorithm. Our analysis of the lattice-based approaches defines a general framework, in which the algorithms of Babai, Lindner-Peikert and several pruning st...

We used urinary assays as a non-invasive method to examine corticosterone levels in two outbred strains of male laboratory mice (BKW and CD-1). Measures were taken before and after 2 weeks of pair housing, to examine the effects of social stress. We found that CD-1 mice had significantly higher corticosterone levels compared to BKW mice both before and after pairing. Behavioural measures provid...

The learning with errors (LWE) problem is one of the main mathematical foundations post-quantum cryptography. One groups algorithms for solving LWE Blum–Kalai–Wasserman (BKW) algorithm. This paper presents new improvements BKW-style instances. We target minimum concrete complexity, and we introduce a reduction step where partially reduce last position in an iteration finish next iteration, allo...

In this paper we propose a new algorithm for solving the Learning With Errors (LWE) problem based on the steps of the famous Blum-Kalai-Wasserman (BKW) algorithm. The new idea is to introduce an additional procedure of mapping subvectors into codewords of a lattice code, thereby increasing the amount of positions that can be cancelled in each BKW step. The procedure introduces an additional noi...

This work presents a study of the complexity of the Blum-Kalai-Wasserman (BKW) algorithm when applied to the Learning with Errors (LWE) problem, by providing refined estimates for the data and computational effort requirements for solving concrete instances of the LWE problem. We apply this refined analysis to suggested parameters for various LWE-based cryptographic schemes from the literature ...

an optical system has been redesigned and used to measure detonation velocity as a function of condensed explosive density for rdx, hmx, petn. these measurements are then used to determine and fine tune parameters appearing in the bkw (beker-kistiakowsky-wilson) equation of state for gases at extremely high pressures. steady state form of conservation equations along with the bkw state equation...

An optical system has been redesigned and used to measure detonation velocity as a function of condensed explosive density for RDX, HMX, PETN. These measurements are then used to determine and fine tune parameters appearing in the BKW (Beker-Kistiakowsky-Wilson) equation of state for gases at extremely high pressures. Steady state form of conservation equations along with the BKW state equation...

By means of a new multilayer pseudo-spectral moist-convective thermal rotating shallow-water (mcTRSW) model in full sphere, we present possible equatorial adjustment beyond Gill's mechanism for the genesis and dynamics Madden–Julian oscillation (MJO). According to this theory, an eastward-propagating MJO-like structure can be generated self-sustained self-propelled manner due nonlinear relaxati...

Abstract The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance post-quantum cryptography. Among solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, originally proposed for Parity Noise (LPN) problem, performs well, especially certain parameter settings cryptographic importance. BKW algorithm consists of two phases, r...