Psychological Mechanisms of Cultural, Clinical and Individual Transformations of Mentalization

The subject of theoretical revision is the impairment of social cognition, which is wellknown in the clinics of borderline personality disorders. Mentalization is understood as a form of social cognition, which allows to perceive, imagine and emotionally relate, make sense and causality of what’s happening in a subjective world – of self and another person. Mentalization supposes integration of contextual factors, material and physical aspects of situation and behavior, as well as inner subjective feelings, beliefs, goals and intentional states as representative motives for a given behavior. In the perspective of the cultural-historical theory and methodology by L.S. Vygotsky a new interpretation is offered for the clinical phenomena of mentalizationdeficit, an understanding is given for transformation of its structure and functions as a consequence of the person’s loss of interpsychic social connections and disintegration of intrapsychic organization of consciousness, impairment of its systemic structure, narrowing and simplification of cross-functional bonds and intrapsychic “mythology”. In the result of this double destruction of bonds, ontogenetically early and primitiveforms of mentalization are «splitting off», isolated and start holding a domineering position in psychic functioning. The process of mentalization regresses to its pre-categorical and cognitive-affective non-differentiated levels and structures (syncretic and complex organization), unfolding involuntarily and unconsciously, lacking meaningful coherence, symbolic mediation and focus for understanding thesubjective world – of self and the Other. The unconscious substitution of the psychic picture of the inner world with impulsive actions, hypochondriac and narcissistic fixations, autistic pseudo-mentalization and manipulation is lacking the meaningful and sanguineous dialogue with the Other. The loss of social connections (interpsychic communication), without being mediated by the addressed to the Other speech dialogue is interiorized into the inner “muteness” – the loss of not only understanding of others, but the interruption of meaningful inner and “worded” dialogue with the self, self-understanding. Keywords: mentalization disorders, cultural-historical approach, structure-functional disorganization

The Study of Thermal Reversibility of the Freezing-defrost Process of Browned Onion

The features and dynamics of the freezing-defrost processes of the studied sample of browned onion were established and studied. At the research it was revealed, that at freezing temperature –20 °С the value of maximal freezing speed does not change.The process of defrost of browned onion was carried out using calorimeter with the reverse connection on temperature and PID-regulator, on the temperature curve of its freezing. It was determined, that the process of defrost of the studied sample needs more heat that is educed at freezing. The modes of stepped defrost that testify to the possibility of thermal reversibility of freezing process were experimentally established.The direct dependence of educed and consumed heat quantity on the mode of thermal processing of studied sample was revealed. The more moisture was eliminated from the food product, the less heat must be consumed for defrost. The analogous dependence is typical also for the freezing process.The received data can be used for determination of the rational modes of freezing and defrost of the browned onion

Search for glitches of gamma-ray pulsars with deep learning

The pulsar glitches are generally assumed to be an apparent manifestation of the superfluid interior of the neutron stars. Most of them were discovered and extensively studied by continuous monitoring in the radio wavelengths. The Fermi-LAT space telescope has made a revolution uncovering a large population of gamma-ray pulsars. In this paper we suggest to employ these observations for the searches of new glitches. We develop the method capable of detecting step-like frequency change associated with glitches in a sparse gamma-ray data. It is based on the calculations of the weighted H-test statistics and glitch identification by a convolutional neural network. The method demonstrates high accuracy on the Monte Carlo set and will be applied for searches of the pulsar glitches in the real gamma-ray data in the future works.Comment: 4 pages, 5 figure

The SVM Classifier Based on the Modified Particle Swarm Optimization

The problem of development of the SVM classifier based on the modified particle swarm optimization has been considered. This algorithm carries out the simultaneous search of the kernel function type, values of the kernel function parameters and value of the regularization parameter for the SVM classifier. Such SVM classifier provides the high quality of data classification. The idea of particles' {\guillemotleft}regeneration{\guillemotright} is put on the basis of the modified particle swarm optimization algorithm. At the realization of this idea, some particles change their kernel function type to the one which corresponds to the particle with the best value of the classification accuracy. The offered particle swarm optimization algorithm allows reducing the time expenditures for development of the SVM classifier. The results of experimental studies confirm the efficiency of this algorithm.Comment: 9 page