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The article clarifies the basic definitions of current folklore science, defines the range of terminological borrowings from the conceptosphere "postmodernism". The article considers the term postfolklore as having a neurobiological influence, since reading works of post-folklore is a complex neurophysiological process during which the brain scans and decodes symbols and their combinations connected by phonetic, semantic and syntactic rules, discovering the meaning encoded in them, including modern urban folklore and a fundamentally new type of folk art - Internet folklore (netlore). The possibility to describe folklore phenomena in terms of post-, analogy with postmodern phenomena, has certain grounds. Thus, the postmodern exaltation of the reader, which destroys the precedence of meaning and constitutes the latter in the process of reading, finds correspondence in the multivariantism of folklore. Since postmodernism and post-folklore are united by chronological frameworks, we consider literary and folklore texts in the context of historical and cultural environment in which they appeared, we find their neuroinfluence on the personality. The analysis of the postmodern discourse shows that an important principle of its principle is the neuroinfluence in acquaintance with the works of folklore, the interactive code. New forms of disseminating and receiving information in today's society determine new forms of its non-specialized - folklore - translation. [ABSTRACT FROM AUTHOR]

У статті досліджуються основи мультипарадигмального спірального пізнання. Зокрема, розглядаються рівні та шляхи когніції, окреслюються механізми пізнавальної діяльності. Підкреслюється важливість гносеологічного плюралізму, згідно з яким постулюється поєднання раціонального, чуттєвого й досвідного в когнітивному процесі. Акцентується ідея взаємодії різних формацій і парадигм пізнання, що результується створенням мультипарадигмальних епістемологічних систем. Пропонується спіральна модель зростання знання.

This paper presents the progress implemented during the AURA project, funded by the Creative-Europe program with project partners from Germany, Italy, and Ukraine. The project aims to create auralized applications for three music venues in each of the project countries, namely the Konzerthaus Berlin, the Teatro del Maggio in Florence, and the Opera House Lviv. Each will be digitally recreated and auralized before they are then used to conduct case studies. This paper gives insights into current digitalization and auralization techniques. The results of a digital survey will be laid out and the conception and implementation of a first auralized prototype using a hand-modeled 3D object from the Great Hall of the Konzerthaus Berlin will be demonstrated. Furthermore, the usage of auralization for touristic purposes will be investigated using artificial intelligence for an audience preference analysis. A conclusion will be drawn and a short outlook into the ongoing course of the AURA project will be given. [ABSTRACT FROM AUTHOR]

Arginine‐deprivation therapy is a rapidly developing metabolic anticancer approach. To overcome the resistance of some cancer cells to this monotherapy, rationally designed combination modalities are needed. In this report, we evaluated for the first time indospicine, an arginine analogue of Indigofera plant genus origin, as potential enhancer compound for the metabolic therapy that utilizes recombinant human arginase I. We demonstrate that indospicine at low micromolar concentrations is selectively toxic for human colorectal cancer cells only in the absence of arginine. In arginine‐deprived cancer cells indospicine deregulates some prosurvival pathways (PI3K‐Akt and MAPK) and activates mammalian target of rapamycin, exacerbates endoplasmic reticulum stress and triggers caspase‐dependent apoptosis, which is reversed by the exposure to translation inhibitors. Simultaneously, indospicine is not degraded by recombinant human arginase I and does not inhibit this arginine‐degrading enzyme at its effective dose. The obtained results emphasize the potential of arginine structural analogues as efficient components for combinatorial metabolic targeting of malignant cells. [ABSTRACT FROM AUTHOR]

To solve the contradiction between achieving long-term economic growth and reducing the consumption of certain types of resources, the concept of sustainable resource saving economic development must be put into practice. The purpose of this research is to establish criteria, develop indicators, and identify factors of the sustainable energy-saving economic development, as well as to test the developed theoretical provisions using the example of natural gas consumption by different countries. To achieve this goal, various methods were used, including economic and mathematical modeling, time series analysis, factor analysis, regression analysis, and so on. The criteria were formalized, according to which a certain type of economic development can be attributed to energy saving both at the level of the state economy as a whole and at the level of individual industries and enterprises. It was established that the formalized criteria of the sustainable energy-saving economic development have the form of chains of inequalities, and their application makes it possible to identify the general conditions for ensuring this type of development. The main properties of energy-saving economic development were identified. They include the pace of this development, its potential, balance, permanence, and other characteristics. Indicators that can be used to quantify these characteristics were developed. The factors influencing the scale and time characteristics of sustainable energy-saving economic development at the level of the state economy and that of industries and individual enterprises, were systematized. The dynamics of natural gas consumption in different countries was analyzed. The reasons for the lack of energy-saving natural gas economic development in some countries were identified. A quantitative assessment of the properties of this type of economic development by country was conducted. The influence of some factors on the parameters of the sustainable energy-saving natural gas economic development of countries was analyzed. The existence of a negative effect of the rebound in the consumption of natural gas was established at certain intervals in some countries. The obtained results provide an opportunity to increase the degree of understanding of the complex patterns that underlie the sustainable energy-saving economic development of states, industries, and enterprises. These results can also be used in the development of government programs to stimulate energy conservation. [ABSTRACT FROM AUTHOR]

The study was conducted by applying machine learning and data mining methods to treatment personalization. This allows individual patient characteristics to be investigated. The personalization method was built on the clustering method and associative rules. It was suggested to determine the average distance between instances in order to find the optimal performance metrics. The formalization of the medical data preprocessing stage was proposed in order to find personalized solutions based on current standards and pharmaceutical protocols. The patient data model was built using time-dependent and time-independent parameters. Personalized treatment is usually based on the decision tree method. This approach requires significant computation time and cannot be parallelized. Therefore, it was proposed to group people by conditions and to determine deviations of parameters from the normative parameters of the group, as well as the average parameters. The novelty of the paper is the new clustering method, which was built from an ensemble of cluster algorithms, and the usage of the new distance measure with Hopkins metrics, which were 0.13 less than for the k-means method. The Dunn index was 0.03 higher than for the BIRCH (balanced iterative reducing and clustering using hierarchies) algorithm. The next stage was the mining of associative rules provided separately for each cluster. This allows a personalized approach to treatment to be created for each patient based on long-term monitoring. The correctness level of the proposed medical decisions is 86%, which was approved by experts. [ABSTRACT FROM AUTHOR]

Tumor cells-even if nonauxotrophic-are often highly sensitive to arginine deficiency. We hypothesized that arginine deprivation therapy (ADT) if combined with irradiation could be a new treatment strategy for glioblastoma (GBM) patients because systemic ADT is independent of local penetration and diffusion limitations. A proof-of-principle in vitro study was performed with ADT being mimicked by application of recombinant human arginase or arginine-free diets. ADT inhibited two-dimensional (2-D) growth and cell-cycle progression, and reduced growth recovery after completion of treatment in four different GBM cell line models. Cells were less susceptible to ADT alone in the presence of citrulline and in a three-dimensional (3-D) environment. Migration and 3-D invasion were not unfavorably affected. However, ADT caused a significant radiosensitization that was more pronounced in a GBM cell model with p53 loss of function as compared with its p53-wildtype counterpart. The synergistic effect was independent of basic and induced argininosuccinate synthase or argininosuccinate lyase protein expression and not abrogated by the presence of citrulline. The radiosensitizing potential was maintained or even more distinguishable in a 3-D environment as verified in p53-knockdown and p53-wildtype U87-MG cells via a 60-day spheroid control probability assay. Although the underlying mechanism is still ambiguous, the observation of ADT-induced radiosensitization is of great clinical interest, in particular for patients with GBM showing high radioresistance and/or p53 loss of function. Mol Cancer Ther; 17(2); 393-406. ©2017 AACR See all articles in this MCT Focus section, "Developmental Therapeutics in Radiation Oncology.", (©2017 American Association for Cancer Research.)