Tolstoy and Italian World To the 90th Anniversary of Death of the Great Writer

The work touches upon certain aspects of the literary activity by the Great Russian writer Leo Tolstoy pertaining to his acquaintance with Italy. The paper presents a very vast array of topics and, in particular, the overview of his direct contacts with Italy, including journeys, recorded personal impressions about the country, published articles, and the Italians’ public response to the literary giant’s death. Keywords—Leo Tolstoy; Italy; trip to Italy, literature; Tolstoyan ideas; death of Tolstoy

Analysis of thermal performance of cementitious compounds using soda-lime glass and infrared thermography

Synthesis of Ultrafine Copper Oxide Powder with Plasma-dynamic Method in the Coaxial Magneto-plasma Accelerator

One of the most promising trends in modern physics is the high-temperature superconductivity. Analysis of high-temperature superconductors revealed that almost all of them are complex copper-based oxides. Studies have shown the possibility of using them for the synthesis of coaxial magneto accelerator. Studies have identified the products synthesized soot: Cu, Cu2O, CuO, their shape and size. Also been deciphered and electron microscopy confirmed the composition of the nanopowder obtained in laboratory conditions.

Interpretable knowledge discovery from data with DC*

We present DC* (Double Clustering with A*) as an information granulation method specifically suited for deriving interpretable knowledge from data. DC* is based on two main clustering stages: the first is devoted to compressing multi-dimensional data into few prototypes that grab the main relationships among data; the second is aimed at finding a proper fuzzy granulation of each input feature so that the relations among data can be linguistically described in terms of fuzzy classification rules. We applied DC* as a stage in a knowledge discovery process, aimed at finding interpretable diagnostic rules for sleep-related breathing disorders.

Mining Emerging Gradual Patterns

International audienceMining emerging patterns aims at contrasting data sets and identifying itemsets that characterise a data set by contrast to a reference data set, so as to capture and highlight their differences. This paper considers the case of emerging gradual patterns, to extract discriminant attribute co-variations. It discusses the specific features of these gradual patterns and proposes to transpose an efficient border-based algorithm, justifying its applicability to the gradual case. Illustrative results obtained from a UCI data set are described

Interval Fuzzy Linear Programming Models to Solve Interval-valued Fuzzy Zero-Sum Games

In Game theory, there are situations in which it is very dicult to characterize the private information of each player. In this case, the payos can be given by approximate values, represented by fuzzy numbers. Whenever there is uncertainty in the modeling of those fuzzy numbers, interval fuzzy numbers may be used. This paper introduces two approaches for the solution of interval-valued fuzzy zero-sum games. First, we extend the CamposVerdegay model, which uses triangular fuzzy numbers for the modeling of uncertain payos, to consider interval-valued fuzzy payos. Then, defining a ranking method for interval fuzzy numbers that induces a total order, we generalize the intervalvalued Campos-Verdegay model to consider payos modeled as any type of interval fuzzy numbers. In both models, we establish an Interval Fuzzy Linear Programming problem for each player, which are reduced to classical Linear Programming problems, used in the solution of classical zero-sum games. We show that the solutions are of the same nature of the parameters defining the game, corresponding to an uncertain predicate of type: “the value of the game is in the interval #”.

Complex and Coherent Risk Measure

Coherent risk measures have been introduced by Artzner et al. in financial markets where the set of states Ω is finite. This theory has been extended by Delbaen to cases where Ω is infinite. The financial markets are constantly evolving and the classical definition of risk measures is "static". Hence, the need to study its complexity and evolution. "Complexity theory" focuses on the interdisciplinary study of its systems. In its evolution, the study of complex adaptive systems and the emergent phenomena associated with them are of fundamental importance. In this paper, we consider the coherent risk measure and their interpretation as complex adaptive system. KEYWORD: Coherent risk measure; complex adaptive system.

Blocking Temperature and Hysteresis Characteristics of the Decay Products Titanomagnetites

This work is devoted to the theoretical study of the temperature dependence of the blocking, the coercive force of the spontaneous magnetization and the size of the magnetite core core / shell nanoparticles of magnetite / titanomagnenit. It is shown that the coercive force and the saturation magnetization of a spontaneous increase with increasing volume fraction of magnetite core, which is consistent with experimental data. This work is devoted to the theoretical study of the temperature dependence of the blocking, the coercive force of the spontaneous magnetization and the size of the magnetite core core / shell nanoparticles of magnetite / titanomagnenit. It is shown that the coercive force and the saturation magnetization of a spontaneous increase with increasing volume fraction of magnetite core, which is consistent with experimental data. (Mogensen, 1968). Later Hjelm-Kwist and Ramdohr (см. [1]) showed that separation of magnetite nano are a common feature of the collapse of the titanomagnetite. For example, at the initial stage of decay titanomagnetites an increase in the coercive force and the residual saturation magnetization to saturation magnetization , some authors [2] show to the small dimensions of the phases. The development process of disintegration increases the size of the phases and a sharp drop и . In this paper, we attempt, within the previously developed model [3.4] two-phase nanoparticles to analyze the effect of decay processes in the hysteresis characteristics titanomagnetite.

A local history of Greek polytheism, by I. Polinskaya (Book review)

La medición de la influencia del estrés y del burnout en la relación profesor-alumno

Las teorías más extendidas sobre el fenómeno del estrés han considerado, como factores principales, la relación entre el organismo y el entorno, los aspectos sociales y psicológicos y la evaluación personal hecha por parte del sujeto con respecto a los estímulos estresantes. En el contexto escolar, los problemas encontrados en la gestión del comportamiento de los estudiantes constituyen el factor de estrés más importante y universal. En la literatura, pocos trabajos se centran en el estudio del estrés y el burnout como una función específica de la relación profesor-alumno. El propósito de esta investigación es poner de relieve la existencia de correlaciones entre burnout, auto-eficacia, rendimiento académico de los estudiantes y la calidad de la relación profesor-alumno. Estuvieron involucrados 37 profesores de las escuelas primarias en el norte-este de Italia (edad en años: rango=27-57, M=44.76, SD=8.38). Se ha propuesto una rejilla construida específicamente para la detección de socio- personales, el Maslach Burnout Inventory (MBI), la Classroom and School Context Teacher Self-efficacy Scale (CSC-TSES) y Student-Teacher relationship Scale (STRS). El análisis realizado muestra una mutua influencia entre el nivel de autoeficacia de los profesores y el grado de burnout; el conflicto es la única dimensión que correlaciona significativamente con el nivel de burnout y la auto-eficacia se refiere a la capacidad de gestionar la el contexto de la clase.