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The semantic and stylistic characteristics of historicism (marked vocabulary) In the modern russian literary language: Семантико-стилистическая характеристика Историзмов (маркированной лексики) В современном русском литературном языке
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The article considers semantic and stylistic motivations for using obsolete lexicon (historicisms) in the text of a work of art. The specifics of the functioning of this process are presented against the background of the features of the contemporary Russian literary language. Attention is focused on the fact that the layer of obsolete lexical units belongs to a number of nationally specific vocabulary, the development of which forms an understanding of the nature of the actualized language. In addition, it should be noted that the semantics of historicisms is culturally commensurate: the latter is explained by the fact that the deactuation of linguistic units is positioned as parallel to the sociocultural and political changes.

Аннотация

В статье рассмотрены семантические и стилистические мотивации использования устаревшей лексики (историзмов) в тексте художественного произведения. Репрезентирована специфика функционирования процесса на фоне особенностей современного русского литературного языка. Акцентировано внимание на том, что пласт устаревших лексических единиц принадлежит к числу национально-специфичной лексики, освоение которой формирует понимание природы актуализированного языка. Кроме того, необходимо отметить, что семантика историзмов является культурно соизмеримой: последнее объяснимо тем, что деактуализация языковых единиц позиционируется как паралелльная соотносимо с социокультурными и политическими изменениями.

 

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Sun Sep 06 2015
Journal Name
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A New Three Step Iterative Method without Second Derivative for Solving Nonlinear Equations
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In this paper , an efficient new procedure is proposed to modify third –order iterative method obtained by Rostom and Fuad [Saeed. R. K. and Khthr. F.W. New third –order iterative method for solving nonlinear equations. J. Appl. Sci .7(2011): 916-921] , using three steps based on Newton equation , finite difference method and linear interpolation. Analysis of convergence is given to show the efficiency and the performance of the new method for solving nonlinear equations. The efficiency of the new method is demonstrated by numerical examples.

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Tue Jan 01 2019
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Al-dhad Book Store And Publishing
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     World statistics declare that aging has direct correlations with more and more health problems with comorbid conditions. As healthcare communities evolve with a massive amount of data at a faster pace, it is essential to predict, assist, and prevent diseases at the right time, especially for elders. Similarly, many researchers have discussed that elders suffer extensively due to chronic health conditions.  This work was performed to review literature studies on prediction systems for various chronic illnesses of elderly people. Most of the reviewed papers proposed machine learning prediction models combined with, or without, other related intelligence techniques for chronic disease detection of elderly patie

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