The article explored the fact that various bioethical principles underlie the evaluation of the patient’s status and role in therapeutic interactions in written medical documents. We have found that characterization of biomedical, social and behavioural aspects of the patient’s existence relies on such bioethical principles as obligation, truthfulness, respect for human rights and dignity, the patient’s good. A few facts of the violation of the principle of respect for human rights and dignity consisting in verbal stigmatization have been provided. Bioethical (...) perspective is also taken to evaluate the mode and extent of the patient’s involvement in a medical interaction, which are either negatively or positively assessed based on the patient’s compliance and good. (shrink)

Gardner’s theory of multiple intelligences has been further developed to focus on the research of human cognitive activities. Thus, the concept of emotional intelligence, which is the topic of the current paper, was introduced by John D. Mayer, Peter Salovey and ‎Daniel Goleman. General intelligence can be defined as the capacity to carry out abstract reasoning to understand meanings, to recognize the similarities and differences between two concepts and to make generalizations. Emotional intelligence is not a part of general intelligence. (...) Emotional intelligence can be defined as an ability of a human to perceive oneself and interact with others with the help of obtained and processed emotional information. Language acquisition is mediated by the necessity to communicate with others. Consequently, the ability to manage the process of communication is of utmost importance in learning a language. Virtual learning environment reduces dramatically the immediate interaction of the participants of the process of education. It undoubtedly affects the process of acquisition and demands to reconsider the distribution of different learning activities. (shrink)

The article considers modern transformations of the ideas concerning subject’s cognitive abilities towards object because of the emergence and development of artificial intelligence (AI) technologies. The developments of scientists and engineers from National Research University of Electronic Technology (Moscow, Russia) in the field of artificial intelligence have been taken as a foundation and material of this research. Their analysis allows making a conclusion that the humanity is rather far from the realization of ‘strong artificial intelligence’. We need a qualitative breakthrough (...) in AI material and technological basis for it. Applying ‘model-dependent realism’ by S. Hawking in the course of the speculations in the article, the author concludes that the purpose of cognition in modern science is not to describe an objective reality, but to organize its subjective perception by some definite way. So, the purpose of cognition is the perfection of cognition models permitting a subject ‘to capture’ the reality. This idea is completely confirmed by Maturana and Varela’s autopoiesis theory and von Foerster’s ‘second-order cybernetics’. The article drafts some prospects of moving away from post-nonclassical scientific thinking in its current understanding, because the development of AI technologies results in ‘blurring’ borders of subjectivity in the cognition process. The author concludes that the modern world is moving in another epistemological paradigm where a new scientific revolution is inevitable. (shrink)

Purpose. With the consideration of anthropological tendencies in modern science, the purpose of the article is to analyze the problem of the subject of cognition, philosophical-psychological rationale for the need to complement it by the concept of "the researcher’s personality". Theoretical basis. The authors rely on post-non-classical methodological tools and basic principles of complexity theory, as well as theoretical provisions of epistemological constructivism, the results of theoretical and empirical psychological studies. In them, authors revealed psychological features of the potential of (...) self-realization of a person prone to innovation and research activities and transfessionalism, including the resources and reserves of the researcher’s personality. Originality. The concept of the subject of cognition is expanded by the concept of "researcher’s personality" and derivative concepts that describe the dynamics of self-harmonization of originative co-generative strengths and opportunities of self-realization of an enlightened person, reveal the degree of correlation in the cognition of the subjective and objective dimensions of his life. It is substantiated that further analysis of the problem of anthropologization of science requires appropriate onto-epistemological grounds that reveals the unity of cognition-education-skill as an essential characteristic of the maturity of the researcher’s personality of scientific knowledge. Conclusions. In the context of anthropological shifts in modern science, the philosophical-psychological analysis of the problem of the subject of cognition is actualized. The psychological research proves the advisability of using the "researcher’s personality" concept as a basic one for understanding the formation of an enlightened human-creator, capable of auto-eco-organization, self-transcendence, and syzygy with the Universe at different levels of innovational research activity. The self-realization of the researcher-personality is a way-search for the authenticity of the multiform unity of life, the personal meaning of scientific truth, and the self-harmonization of the originative co-generative co-determinative strengths in the knowledge of an enlightened person. Including the concept of the subject of cognition in the ontology of the unity of difference-multidimensional poly-essential autopoetic integrity, the anthropologization of science is intended to revive the ancient idea in the unity of truth, education and skill of a scientist, defining the ideal of a modern human-transfessional. (shrink)

The paper aims to discuss the results of testing a neural network which classifies the vowels of the vocalic system with the [ATR] (Advanced Tongue Root) contrast based on the data of Akebu (Kwa family). The acoustic nature of the [ATR] feature is yet understudied. The only reliable acoustic correlate of [ATR] is the magnitude of the first formant (F1) which can be also modulated by tongue height, resulting in significant overlap between high [-ATR] vowels and mid [+ATR] vowels. Other (...) acoustic metrics which had been associated with the [ATR], such as F1 bandwidth (B1), relative intensity of F1 to F2 (A1-A2), etc., are typically inconsistent across vowel types and speakers. The values of four metrics – F1, F2, A1-A2, B1 – were used for training and testing the neural network. We tested four versions of the model differing in the presence of the fifth variable encoding the speaker and the number of hidden layers. The models which included the variable encoding the speaker achieved slightly higher accuracy, whereas the precision and recall metrics of the three-layer model were generally higher than those with two hidden layers. (shrink)