SCIENCE AS A COMPONENT OF THE HIGHER EDUCATION SYSTEM

The article deals with the main objectives of research work in higher educational institutions. Analyzing its traditional virtual indicators and those that were recently activated, the author states the multidimensional nature of research activity at the present stage of development of higher education. In this analytical context science is studied as a required element in the system of training specialists with higher education; in accordance with the requirement of the day the universities should be both educational and scientific institutions. The author argues that the purpose of philological education cannot be reduced to methodical training of a school teacher, because the important product of this education is the research and innovation intellectual environment. It plays an important role in the training of modern professionals, which are able not only to reproduce and to share with their knowledge, but also to understand the relevant scientific paradigms, to think creatively and generate their own scientific ideas and ways to realize them

Using the Ellipsoid Method to Study Relationships in Medical Data

Deterioration of moral and psychological state on the background of a full–scale war is observed in many social groups. Timely detection of various types of pre–depressive states and appropriate therapy is a critically important task nowadays. In addition, an equally important task is to identify relationships between physical and psychological indicators of health. Establishing such regularities will allow detecting anxious states, avoiding direct profile testing of a patient. The article is devoted to construction of a mathematical apparatus for predicting psychological conclusions based on cardiological data. For this, a linear regression model and the ellipsoid method are used to determine its parameters with a criterion based on least moduli method (LMM), a feature selection procedure and a metric for assessing consistency of a data set. Material of the article is presented in 5 sections. Section 1 describes the ellipsoid method for finding parameters of linear regression with the least moduli method as a criterion in the power of p. Problem dimensions that can be successfully solved using the ellipsoid method on modern computers are indicated. The 2nd Section is devoted to Octave program emlmp, which implements the ellipsoid method, and the results of two computational experiments with its use. The obtained results demonstrate robustness of the obtained solutions when parameter p values are close to one. The 3rd Section describes mechanism of variable selection for the best prediction of psychological state of patients based on cardiological data. Variable selection was carried out using the Python Sequential Feature Selector procedure for predicting two psychological indicators – Beck's anxiety scale and psychologist's formalized conclusion. The 4th Section contains the results of a computational experiment using the emlmp program with LMM and least square method (LSM) criteria for predicting a psychologist’s formalized conclusion based on 84 selected patients and 22 parameters. Obtained solutions and forecasts for comparing criteria based on LMM and LSM are given. In the 5th Section, a metric for evaluation consistency of a data set is proposed, which allows to evaluate consistency for each parameter separately. A linear connection was found between 4 psychological parameters and the maximum accuracy of regression models with optimal number of parameters in specified models

The evaluation of assymetry degree and topological value of static communication networks

Розглянута класифікація асиметричних статичних комунікаційних мереж багатопроцесорних комп’ютерних систем за ступенем асиметричності на основі граничних значень коефіцієнта симетрії. Для деяких простих мереж приведені результати оцінювання змінювання ступеню асиметричності при їх масштабуванні. Запропонований загальний підхід для оцінювання надлишкової топологічної вартості вузлових засобів комутації на етапі топологічного синтезу асиметричної мережі.Рассмотрена классификация асимметричных статических коммуникационных сетей многопроцессорных компьютерных систем по степени асимметричности на основе предельных значений коэффициента симметрии. Для некоторых простых сетей приведены результаты оценивания изменения степени асимметричности при их масштабировании. Предложен общий подход для оценивания избыточной топологической стоимости узловых средств коммутации на этапе топологического синтеза асимметричной сети.The classification of asymmetric static communication networks of multiprocessor computer systems is considered in the article according to the asymmetry degree on the basis of limit values of symmetry index. The results of the evaluation of changing asymmetric degree for some simple networks at their scaling are given. The general approach to the evaluation of extra topological value of joint means of communication at the stage of asymmetric network topological synthesis is suggested as well