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- V V Ryazanov, V A Oboznov, A Yu Rusanov, A V Veretennikov, A A Golubov, J Aarts
- 2008

We report measurements of the temperature dependence of the critical current in Josephson junctions consisting of conventional superconducting banks of Nb and a weakly ferromagnetic interlayer of a Cu x Ni 1−x alloy, with x around 0.5. With decreasing temperature I c generally increases, but for specific thicknesses of the ferromagnetic interlayer, a… (More)

We report measurements of the temperature dependence of the critical current, I(c), in Josephson junctions consisting of conventional superconducting banks of Nb and a weakly ferromagnetic interlayer of a CuxNi1-x alloy, with x around 0.5. With decreasing temperature I(c) generally increases, but for specific thicknesses of the ferromagnetic interlayer, a… (More)

- Serge Shpyrko, V V Ryazanov
- 2006

The most frequently used in physical application diffusive (based on the Fokker-Planck equation) model leans upon the assumption of small jumps of a macroscopic variable for each given realization of the stochastic process. This imposes restrictions on the description of the phase transition problem where the system is to overcome some finite potential… (More)

A stochastic storage model based on the behavior of macroscopic variables of the system is used to describe the kinetics of raft-like domains in biological membranes. For a simple output model, we examine the features of the system behavior corresponding to the noise-induced nonequilibrium phase transitions. Characteristics of the behavior of the… (More)

Methods for the analysis of medical data and the results of their application to the treatment of a number of socially important diseases in important medical areas (cardiology, neurology, surgery, and oncology) are considered. The precedent approach is investigated. Practical methods of discrete analysis of training data, logical and statistical methods… (More)

An approach of solving the problem of multiclass supervised classification, based on using errorcorrecting codes is considered. The main problem here is the creation of binary code matrix, which provides high classification accuracy. Binary classifiers must be distinct and accurate. In this issue, there are many questions. What should be the elements of the… (More)

The problem of choosing an ensemble of binary subproblems for multiclass recognition problems is considered in the algebraic and logical approaches. The connection of the first and second level algorithm correctness and the applicability of logical deduction in a multilevel scheme are studied. Two modifications of the ECOC method are proposed that allow one… (More)

A problem of classification by precedents in partial precedence models is considered. An algorithm is presented for searching for maximum logical regularities of a class (LRCs) for consistent training tables. A two-level solution scheme of a problem is proposed for finding an optimal decision rule. First, LRCs are obtained by training data, and a mapping of… (More)