Plekhanov Russian Academy of Economics

Russian, Russia

Plekhanov Russian Academy of Economics

Russian, Russia
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Misharina T.A.,RAS Emanuel Institute of Biochemical Physics | Muhutdinova S.M.,Plekhanov Russian Academy of Economics | Zharikova G.G.,Plekhanov Russian Academy of Economics | Terenina M.B.,RAS Emanuel Institute of Biochemical Physics | And 2 more authors.
Applied Biochemistry and Microbiology | Year: 2010

The composition of aroma compounds of dry champignons (Agaricus bisporus L.) were identified using capillary gas chromatography and chromatography-mass spectrometry. In total, 56 compounds were identified. It was found that the flavor of dry mushrooms was formed by the volatile compounds produced as a result of enzymatic and oxidative conversion of unsaturated fatty acids as well as in the Maillard reaction. Unsaturated alcohols and ketones containing eight carbon atoms determined the mushroom note of the product. The specific aroma of dry mushrooms was determined by a complex composition of substituted sul- fur-, oxygen-, and nitrogen-containing heterocyclic compounds as well as by aliphatic carbonyl compounds and methional. It was found that the concentrations of volatile carbonylic and heterocyclic compounds increased after the addition of a mixture of amino acids to mushrooms before drying. As a result, the intensity of the aroma of dry mushrooms increased. © Pleiades Publishing, Inc., 2010.


Lukanlna Y.U.K.,RAS Emanuel Institute of Biochemical Physics | Kolesnikova N.N.,RAS Emanuel Institute of Biochemical Physics | Khvatov A.V.,Plekhanov Russian Academy of Economics | Likhachev A.N.,Moscow State University | Popov A.A.,RAS Emanuel Institute of Biochemical Physics
Journal of the Balkan Tribological Association | Year: 2012

The possibility of creating a biodegradable composite material based on propylene-ethylene copolymers supplemented with cellulose, as well as the woodworking industry waste (powder of different species of wood) was investigated. Investigations on the development of fungi on the given substrata have exhibited a difference in accumulating a biomass for diverse strains. The rate of accretion of micromycetes on composite materials is defined not only by a natural component introduced into the polymeric template, but also by the structure of the polymer material.


Kiselev A.,Kyoto University | Hacker B.A.,TU Munich | Wankerl T.,TU Munich | Ohmoto Y.,Kyoto University | And 2 more authors.
Smart Innovation, Systems and Technologies | Year: 2010

This chapter addresses the problem of modeling of emotions which is important for integrating emotional intelligence into virtual agents. In this chapter we present a virtual agent which plays a role of a technical support engineer and interacts with human user to answer questions about a complex device. We show some theoretical background and basic models of formalizing emotions along with comments about their usability in our work. We present a multi-layered system of processing of emotional information which is developed according to the modern theories and allows us to realize concurrent and mutual causal processing of different types of emotional information. We also show an evaluation methodology which we use. © Springer-Verlag Berlin Heidelberg 2010.


Kiselev A.,Kyoto University | Hacker B.A.,TU Munich | Wankerl T.,TU Munich | Abdikeev N.,Plekhanov Russian Academy of Economics | Nishida T.,Kyoto University
AI and Society | Year: 2011

This paper addresses the problem of human-computer interactions when the computer can interpret and express a kind of human-like behavior, offering natural communication. A conceptual framework for incorporating emotions with rationality is proposed. A model of affective social interactions is described. The model utilizes the SAIBA framework, which distinguishes among several stages of processing of information. The SAIBA framework is extended, and a model is realized in human behavior detection, human behavior interpretation, intention planning, attention tracking behavior planning, and behavior realization components. Two models of incorporating emotions with rationality into a virtual artifact are presented. The first one uses an implicit implementation of emotions. The second one has an explicit realization of a three-layered model of emotions, which is highly interconnected with other components of the system. Details of the model with implicit implementation of emotional behavior are shown as well as evaluation methodology and results. Discussions about the extended model of an agent are given in the final part of the paper. © 2010 Springer-Verlag London Limited.


Semenov E.V.,Plekhanov Russian Academy of Economics | Karamzin V.A.,Plekhanov Russian Academy of Economics
Theoretical Foundations of Chemical Engineering | Year: 2010

Change in the grain-size distribution of a small-particle collective suspended in a steady-state gas flow is studied under the assumption that the evolution of particle dispersity results from the phenomena of evaporation (drying) and coagulation of a suspension. It is assumed that the suspension under consideration is in quasi-equilibrium low-temperature conditions and the volume concentration of particles is slight. © 2010 Pleiades Publishing, Ltd.


Kiselev A.,Kyoto University | Abdikeev N.,Plekhanov Russian Academy of Economics | Nishida T.,Kyoto University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

This paper addresses the problem of evaluating embodied conversational agents in terms of their communicative performance. We show our attempt to evaluate humans' implicit attitudes towards different kinds of information presenting by embodied conversational agents using the Implicit Association Test (IAT) rather than gathering explicit data using interviewing methods. We conducted an experiment in which we use the method of indirect measurements with the IAT. The conventional procedure and scoring algorithm of the IAT were used in order to discover possible issues and solutions for future experiments. We discuss key differences between the conventional usage of the IAT and using the IAT in our experiment for evaluating embodied conversational agents using unfamiliar information as test data. © 2011 Springer-Verlag.


Kiselev A.,Kyoto University | Abdikeev N.,Plekhanov Russian Academy of Economics | Nishida T.,Kyoto University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

This paper presents the ongoing project which attempts to solve the problem of measuring users' satisfaction by utilizing methods of discovering users' implicit attitudes. In the initial stage, authors attempted to use the Implicit Association Test (IAT) in order to discover users' implicit attitudes towards a virtual character. The conventional IAT procedure and scoring algorithm were used in order to find possible lacks of original method. Results of the initial experiment are shown in the paper along with method modification proposal and preliminary verification experiment. © 2011 Springer-Verlag.


Gavrishchaka V.V.,West Virginia University | Koepke M.E.,West Virginia University | Ulyanova O.N.,Plekhanov Russian Academy of Economics
IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium | Year: 2010

Increasing availability of multi-scale and multi-channel physiological data opens new horizons for quantitative modeling in medicine. However, practical limitations of existing approaches include both the low accuracy of the simplified analytical models and empirical expert-defined rules and the insufficient interpretability and stability of the pure data-driven models. Such challenges are typical for automated diagnostics from high-resolution image data and multi-channel temporal physiological information available in modern clinical settings. In addition, increasing number of portable and wearable systems for collection of physiological data outside medical facilities provide an opportunity for express and remote diagnostics as well as early detection of irregular and transient patterns caused by developing abnormalities or subtle initial effects of new treatments. However, quantitative modeling in such applications is even more challenging due to obvious limitations on the number of data channels, increased noise and non-stationary nature of considered tasks. Methods from nonlinear dynamics (NLD) are natural modeling tools for adaptive biological systems with multiple feedback loops and are capable of inferring essential dynamic properties from just one or a small number of data channels. However, most NLD indicators require long periods of data for stable calculation which significantly limits their practical value. Many of these challenges in biomedical modeling could be overcome by boosting and similar ensemble learning techniques that are capable of discovering robust multi-component meta-models from existing simplified models and other incomplete empirical knowledge. Here we describe an application of this approach to a practical system for express diagnostics and early detection of treatment responses from short beat-to-beat heart rate (RR) time series. The proposed system could play a key role in many applications relevant to e-healthcare, personalized medicine, express and remote web-enabled diagnostics, decision support systems, treatment optimization and others. © 2010 ACM.

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