Linguistic creativity and discourse profiles of English language children’s novels

Contemporary discourse studies face the necessity to develop the methods of contrastive sub-discourse analysis which apply numeric and comparable data to diversify and describe sub-discourse types. The aim of the research is to propose a method of discourse profiling serving the purpose, and to further test the method in the contrastive study of linguistic creativity in different types of English language childrens novels. The category of linguistic creativity being the leading form of language poesis receives parametric description on all language representation levels (in written form) and provides the discourse values for contrastive analysis. These values are explored in the fragments of non-autobiographic and autobiographic adventure novel sub-discourse types authored by J.C. George, F. Gibson, J.D. Ullman, and G. Durrell (a total amount of 120.000 signs) annotated manually for 52 linguistic creativity parameters on phonological, morphological, word-formation, lexical, syntactic, and graphic levels. The working hypothesis is that the linguistic creativity parametric activity distributions represent the sub-discourse profiles and may serve to contrast sub-discourse types by means of their vectors contingency values. The analysis in individual parameter activity and in parameter groups activity demonstrated significant variance in sub-discourse construal, with autobiographic sub-discourse of G. Durrell manifesting several higher activity values in word-formation (occasional compounding), lexical use (the use of professional language, lexical tropes, allusive names, higher register style) and syntactic use (the use of parallel structures and syntactic intensifiers). In terms of morphological activity, the parameter values tend to be lower (morphological category shifts), the same stands true of some syntactic (the use of elliptical structures) and lexical parameters (the use of lower register types and proper names). The sub-discourse profiles demonstrate several common features, evidently typical of the discourse type itself, and the features differentiating non-autobiographic and autobiographic discourse subtypes. Vector correlation analysis revealed lower correlation values for autobiographic sub-discourse, which proves its specificity and testifies to the discourse profiling method applicability.

Satellite and aerial imagery geo-referencing using ground features

The method of geo-referencing satellite- and aerial imagery using reference points, linear and non-linear features, and segments of geodetic tracks as elements of a plan-altitude basis is discussed in this article. The method can be used for any mathematical model of satellite- and aerial imagery. The parametric description of the features, that can be used for the geo-referencing and various mathematical models of the above-mentioned imagery are presented. The mathematical formulation of the matter of satellite and aerial imagery geo-referencing using terrain objects and reference points is presented. A list of linear and non-linear features that can be included in a high-raised basis along with reference points is made. A generalized algorithm for geo-referencing satellite and aerial imagery using reference points and terrain features is given. The algorithm includes making a nonlinear system of equations for reference points and items, linearizing the system and solving by the sequential approximation technique according to the least squares method. An example of clarifying the satellite RPC-model and aerial imagery using reference points, linear and non-linear features is given. The advantages of the proposed method of using features created according to the measurements on satellite and aerial imagery compared with method, when the model of the feature is created according to the measurements on the ground are described.

Functional and parametric mapping of the semantics of phraseological units in intercultural space

The research objective in the proposed work circles around the semantic of the French phraseological units in the light of the functional-parametric description. In particular, it identifies the new motivational characteristics of the national language, as well as the linguistic and cultural commentary of phraseological units and the principles of correlating the semantic basics of different systems and sentences based on figurative sense and locutions in the French language. The study aims to develop a new model of functional cartographic and parametric cartography of the phraseological units in the interlingual and intercultural space and to present a methodology for the development of the phonological unit.

Method of Assessing the Integral Risk on the Example of the system «GL2Z Enterprise — Hazardous and Harmful Factors — Employees»

The Algerian company Sonatrach is associated with the production of the liquefied natural gas, propane, butane, gasoline from the crude gas. The article solves the problem of assessing the integral risk at the GL2Z natural gas liquefaction plant with an analysis of the possible joint effect on the employees of production products complex as harmful and (or) hazardous factors in the form of chemical and thermal factors, provided that a fire or flash occurs considering the error of measuring gas components concentration. Integral risk is understood as probable (expected) damage from the occurrence of an incident or from the realization of an unfavorable outcome, provided that the full group of possible incidents (outcomes) in the system under consideration is considered. Modeling and cause-and-effect analysis of the occurrence of an incident and (or) adverse outcomes in the system is described using factor parametric models of the type «load-bearing capacity», «effect — susceptibility». In this case, most often the realization of an unfavorable outcome is evaluated by the condition of exceeding the parameter or the magnitude of the effect over the susceptibility parameter. Using the example of the system under consideration, a Boolean function of the integral risk indicator is constructed, and a demonstration of the calculation of its probabilistic form is performed. In addition, it is proposed to calculate a probabilistic measure from a unified position of logical and parametric description of both the set of possible incidents and their components in the form of unfavorable outcomes. To test the proposed method for assessing the integral risk, the initial data were used, with which, provided that the probability of an outbreak of all five components of the crude gas is equal, it was obtained that in a particular analyzed system, the calculated value of the upper limit of the probability of an incident occurrence was 0.9675.

Direct Statistical Modeling of Spread of Epidemic Based On a Stage-Dependent Stochastic Model

A stochastic stage-dependent model of spread of an epidemic in a certain region is presented. The model is written in the form of a continuous-discrete random process that takes into account the passage of individuals through various stages of an infectious disease. Within the framework of the model, the population of the region is represented in the form of cohorts of individuals, structured according to immunological, clinical, epidemiological and demographic criteria. All cohorts make up two blocks. Individuals belonging to the cohorts of the first block are considered indistinguishable within a fixed cohort and have the same type of parametric description. Individuals belonging to the cohorts of the second block differ from each other by the time of admission to a particular cohort and by the time of stay in this cohort. An algorithm for statistical modeling of the dynamics of cohorts of individuals based on the Monte Carlo method is developed. A numerical study of the dynamics of cohorts of individuals was conducted for sets of parameters reflecting different variants of transmission of infection between individuals.

Jumping Wave Characteristic during Low Plasticity Burnishing Process

During the low plasticity burnishing process of soft materials such as carbon steel with a hardness of up to 40 HRC (Rockwell grade) a raised structure of the material known as the Jumping Wave forms in front of the tool roll. This phenomenon significantly disturbs the burnishing process, but is very poorly described in the literature. This article presents studies of this phenomenon on the example of burnished 1.0562 steel. The research concerns the changes in the surface structure of the processed material as well as changes in the structure of the material during this process. The research shows changes in the geometric structure of the surface made in the 3D system and their parametric description. Moreover, the work presents an analysis of the metallographic structure in the tool zone. The research showed occurrence of material slippages in the wave in front of the tool, which creates an additional structure on the surface. These tests make it possible to better understand the process of changes that take place in the surface layer of the processed element in the low plasticity burnishing process.

Classification of Objects by Shape Applied to Amber Gemstone Classification

To properly and quickly evaluate an object’s shape, in a manner that is suitable for real-time applications, a set of parameters has been created and the shape parametric description (SPD) has been elaborated. This solution is focused on the classification of amber gemstones according to shape. To improve the results obtained by SPD, the most popular machine learning classification algorithms were applied and tested. The proposed method (i.e., SPD) achieved the fastest classification, requiring the least computational resources, while providing an accuracy of approximately 80%. The best results were achieved when the SPD parameters were used in a feedforward neural network (FFNN), and an accuracy of 91.5% was obtained, while the time required for the computations remained in a range that is acceptable for real-time applications.

Synergetic approach to macroeconomic studies

This paper confirms the principal possibility of using synergetics in macroeconomic studies. It noted that the presence in economic systems of all science typologies requires using subjects of natural and engineering sciences for the study of economic objects as well. Ignoring this fact hinders the development of fundamental economic knowledge and, as consequence, conditions the use of metaphysical concepts in developed models. Since the above interdisciplinarity is inherent in synergetics, its applicability in macroeconomics is considered. On the example of modeling economic systems, it is demonstrated that their essence (nonlinear space-time structure) corresponds to the basic provisions of synergetics. Therefore, its tools are eligible in the tasks of macroeconomic analysis. As an example, this paper proposes the stochastic model of economic cycles explaining their phenomenon as well as providing the quantitative (parametric) description of cycles. Novelty of the model describing the cycles as random oscillations is tied to the probabilistic description of the investment function and the perception of the economic system as a material object with certain inherent properties. According to a proposed model, the income oscillations are induced by both exogenous (investment fluctuations) and endogenous (economic system elasticity) causes. The values of fluctuations of the income function around its longterm trend relate to the value of intensity of investment fluctuations as well as the gain (efficiency) of the economic system. The duration of the cycle is related to the inclusive wealth of the system and its dynamic factor, which characterizes the system’s ability to withstand investment fluctuations as well as to eliminate their consequences. Prospects of practical applications of the considered model were demonstrated on the example of cycle management.

Car braking effectiveness after adaptation for drivers with motor dysfunctions

This article presents the results of measurements of the braking efficiency of vehicles adapted to be operated by drivers with motor dysfunctions. In such cars, the braking system is extended with an adaptive device that allows braking with the upper limb. This device applies pressure to the original brake in the car. The braking force and thus its efficiency depend on the mechanical ratio in the adapting device. In addition, braking performance depends on the sensitivity of the car’s original braking system and the maximum force that a disabled person can exert on the handbrake lever. Such a person may have limited power in the upper limbs. The force exerted by the driver can also be influenced by the position of the driver’s seat in relation to the handbrake lever. This article describes the research aimed at understanding the influence of the above-mentioned factors on the car braking performance. As a part of the analysis of the test results, a mathematical function was proposed that allows a parametric description of the braking efficiency index on the basis of data on the braking system, adaptation device, driver’s motor limitations, and the position of the driver’s seat. The information presented in this article can be used for the preliminary selection of adaptive devices to the needs of a given driver with a disability and to the vehicle construction.