2,196 research outputs found
M.S. Kutorga and V.M. Vedrov: Conflict of Teacher and Student
No full textВ статье рассматривается конфликт между М.С. Куторгой и его учеником В.М. Ведровым. Исследуются причины конфликта, а также то влияние, которое он оказал на дальнейшую научную карьеру ученика. This article discusses the conflict between M.S. Kutorga and his student V.M. Vedrov. The author investigates the causes of the conflict and its impact on academic career V.M. Vedrov
Dedicated to the 90th birth anniversary of academician V.M. Glushkov
No full text24 августа 2013 года исполнилось 90 лет со дня рождения Виктора Михайловича Глушкова — выдающегося ученого, автора фундаментальных работ в области кибернетики, вычислительной техники и прикладной математики. Академик В.М. Глушков прожил 58 лет, а 35 лет его творческого пути принесли мировой науке сотни основополагающих работ, способствующих формированию кибернетики как науки.On 24 August 2013 ninety years passed since Victor Glushkov’s birthday, who was an outstanding scientist, author of fundamental works in the field of cybernetics, computer engineering and applied mathematics. Academician V.M. Glushkov lived to be 58, and 35 years of his creative development brought hundreds of works which contributed to forming cybernetics as a science. V.M. Glushkov joined such important courses of scientific-technical progress as the cybernetics fundamentals development and practical methods of developing computer engineering forming. He was one of the founders of the interdepartmental collection of scientific papers “Cybernetics and Computer Engineering”. Thoughtful scientist and unsurpassed pedagogue V.M. Glushkov is a founder of a world-known school
Gini coefficient as a life table function
No full textThis paper presents a toolkit for measuring and analyzing inter-individual inequality in length of life by Gini coefficient. Gini coefficient and four other inequality measures are defined on the length-of-life distribution. Properties of these measures and their empirical testing on mortality data suggest a possibility for different judgements about the direction of changes in the degree of inequality by using different measures. A new computational procedure for the estimation of Gini coefficient from life tables is developed and tested on about four hundred real life tables. The estimates of Gini coefficient are precise enough even for abridged life tables with the final age group of 85+. New formulae have been developed for the decomposition of differences between Gini coefficients by age and cause of death. A new method for decomposition of age-components into effects of mortality and composition of population by group is developed. Temporal changes in the effects of elimination of causes of death on Gini coefficient are analyzed. Numerous empirical examples show: Lorenz curves for Sweden, Russia and Bangladesh in 1995, proportional changes in Gini coefficient and four other measures of inequality for the USA in 1950-1995 and for Russia in 1959-2000. Further shown are errors of estimates of Gini coefficient when computed from various types of mortality data of France, Japan, Sweden and the USA in 1900-95, decompositions of the USA-UK difference in life expectancies and Gini coefficients by age and cause of death in 1997. As well, effects of elimination of major causes of death in the UK in 1951-96 on Gini coefficient, age-specific effects of mortality and educational composition of the Russian population on changes in life expectancy and Gini coefficient between 1979 and 1989. Illustrated as well are variations in life expectancy and Gini coefficient across 32 countries in 1996-1999 and associated changes in life expectancy and Gini coefficient in Japan, Russia, Spain, the USA, and the UK in 1950-1999. Variations in Gini coefficient, with time and across countries, are driven by historical compression of mortality, but also by varying health and social patterns.inequality, life expectancy, mortality, variability
Stylistic perspective as a scope of intellectual potential of scientific personality: V.M. Rusanivsky
No full textУ статті в аспекті стилістичної перспективи аналізується наукова творчість українського лінгвіста В.М. Русанівського. Тексти мовознавця розглядаються в контексті еволюційної епістеми. Увага зосереджується на лінгвістичних ідеях В.М. Русанівського щодо критеріїв розвитку літературної мови, її стильової репрезентації, знакових для літературної мови постатях. Формулюється теза про співмірність між стилістичним ресурсом літературної мови й інтелектуальною потужністю дослідника, який пізнає її функціональний потенціал.The author in terms of stylistic perspective analyzes the scientific activity of Ukrainian linguist V.M. Rusanivsky. The texts of famous linguist are considered in the context of evolutionary episteme. Attention is focused on linguistic ideas of V.M. Rusanivsky about development of literary language, its stylistic representation and personalities, precedent for Ukrainian literary language and culture
Great Ukrainian V.M. Glushkov and His Scientifical School
No full textРозкрито умови виникнення і роботи кібернетичної школи В.М.Глушкова, її специфічні особливості. показано концептуальні ідеї, основні напрямки досліджень, головні досягнення школи В.М.Глушкова. Характеризуються риси В.М.Глушкова як лідера наукової школи.Раскрыты условия возникновения и работы кибернетической школы В.М. Глушкова, ее специфические особенности. Показаны концептуальные идеи, основные направления исследований, главные достижения школы В.М. Глушкова. Характеризуются черты В.М. Глушкова как лидера научной школы.The author discloses the factors leading the Glushkov school to appear, ist works and specifics; shows its conceptual ideas, key research areas, basic achievements. V.M. Glushkov’s personal features are described as jnes of a founder of a academic school
Great Ukrainian V.M. Glushkov and His Scientifical School
No full textРозкрито умови виникнення і роботи кібернетичної школи В.М.Глушкова, її специфічні особливості. показано концептуальні ідеї, основні напрямки досліджень, головні досягнення школи В.М.Глушкова. Характеризуються риси В.М.Глушкова як лідера наукової школи.Раскрыты условия возникновения и работы кибернетической школы В.М. Глушкова, ее специфические особенности. Показаны концептуальные идеи, основные направления исследований, главные достижения школы В.М. Глушкова. Характеризуются черты В.М. Глушкова как лидера научной школы.The author discloses the factors leading the Glushkov school to appear, ist works and specifics; shows its conceptual ideas, key research areas, basic achievements. V.M. Glushkov’s personal features are described as jnes of a founder of a academic school
Scientific ideas of pedologist-geographer V.M. Fridland, their origins and development (to the 100th anniversary)
No full textV.M. Fridland (1919–1983) – distinguished Soviet pedologist-geographer and cartographer, graduated from Moscow State University, Doctor of geographical sciences, Professor, laureate of the Dokuchaev Prize of USSR Academy of Sciences. He developed the doctrine of the structure of soil cover. Editor-in-chief and author of Soil maps: RSFSR, scale 1 :2 500 000 (1988); Educational Soil Map of the World, scale 1 : 15 000 000 (1984). One of the first Russian soil researchers of humid and arid tropics and subtropics, author of the USSR soil classifications, and of a number of books on soils
A comparison of different methods for decomposition of changes in expectation of life at birth and differentials in life expectancy at birth
No full textSeveral methods were proposed to decompose the difference between two life expectancies at birth into the contribution by different age groups. In this study an attempt has been made to compare different methods with that of Chandra Sekar (1949) method. The methodologies suggested by Arriaga, Lopez and Ruzicka and Pollard have been extended. It is shown that all the three methods and also Chandra Sekar method in their modified (symmetrical) form will be seen to produce the same result as that of United Nations, Pollard, Andreev and Pressat. Finally it is suggested to use symmetric formulae of the above methods because the percent contribution of total of the interaction terms to the difference in the life expectancy at birth is observed to be very negligible.decomposition, direct effect, indirect effect, interaction effect, life expectancy, life expectancy at birth, main effect, symmetrical, total effect
Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, healthy life expectancies, parity-progression ratios and total fertility rates
No full textA general algorithm for the decomposition of differences between two values of an aggregate demographic measure in respect to age and other dimensions is proposed. It assumes that the aggregate measure is computed from similar matrices of discrete demographic data for two populations under comparison. The algorithm estimates the effects of replacement for each elementary cell of one matrix by respective cell of another matrix. Application of the algorithm easily leads to the known formula for the age-decomposition of differences between two life expectancies. It also allows to develop new formulae for differences between healthy life expectancies. In the latter case, each age-component is split further into effects of mortality and effects of health. The application of the algorithm enables a numerical decomposition of the differences between total fertility rates and between parity progression ratios by age of the mother and parity. Empirical examples are based on mortality data from the USA, the UK, West Germany, and Poland and on fertility data from Russia.healthy life expectancy, life expectancy, parity progression
Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, Gini coefficients, health expectancies, parity-progression ratios and total fertility rates
No full textA general algorithm for the decomposition of differences between two values of an aggregate demographic measure in respect to age and other dimensions is proposed. It assumes that the aggregate measure is computed from similar matrices of discrete demographic data for two populations under comparison. The algorithm estimates the effects of replacement for each elementary cell of one matrix by respective cell of another matrix. Application of the algorithm easily leads to the known formula for the age-decomposition of differences between two life expectancies. It also allows to develop new formulae for differences between Gini coefficients (measures of inter-individual variability in age at death) and differences between health expectancies. In the latter case, each age-component is split further into effects of mortality and effects of health. The application of the algorithm enables a numerical decomposition of the differences between total fertility rates and between parity progression ratios by age of the mother and parity. Empirical examples are based on mortality data from the USA, the UK, West Germany, and Poland and on fertility data from Russia.
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