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OUTDATED VOCABULARY in A. I. HERZEN's NOVEL " who is to BLAME?": УСТАРЕВШАЯ ЛЕКСИКА В РОМАНЕ А. И. ГЕРЦЕНА «КТО ВИНОВАТ?»
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The article considers the main reason for A. I. Herzen's address to obsolete words, which is their ability to acquire a stylistic coloring in the context of speech, as well as the possibility of combining, in some cases, with neutral lexemes of various functional styles. A certain stylistic effect of such characteristics of this type of vocabulary is represented, as a result of which their stylistic coloring in syntagmatic terms does not coincide with stylistic coloring in terms of paradigmatics, that is, in speech they have a completely stylistic meaning. Attention is focused on the role of outdated vocabulary, which consists in the fact that they serve to implement such features of the artistic style as imagery, emotionality, and their main task is to emotionally affect the reader, which Herzen skillfully uses. It is argued that for the outdated vocabulary of the novel “Who is to blame?” By A.I. Herzen, the successful coexistence of the modern era for the writer of language and speech appears characteristic. The nature of the combination of these two linguistic elements, their scope, methods, and techniques for introducing elements of the language of the epoch depicted into the fabric of a work of art are specific.

В статье рассмотрена главная причина обращения А. И. Герцена к устаревшим словам, которая состоит в их способности приобретать в контексте речи стилистическую окраску, а также возможности сочетания в некоторых случаях с нейтральными лексемами различных функциональных стилей. Репрезентирован определенный стилистический эффект таких характеристик этого типа лексики, вследствие чего их стилистическая окрашенность в синтагматическом плане не совпадает со стилистической окраской в плане парадигматики, то есть в речи они совсем имеют совершенно стилистическое значение. Акцентируется внимание на роли устаревшей лексики, состоящая в том, что они служат для реализации таких черт художественного стиля как образность, эмоциональность, а их главная задача – эмоционально воздействовать на читателя, чем мастерски пользуется Герцен. Утверждается, что для устаревшей лексики романа «Кто виноват?» А. И. Герцена характерным представляется успешное сосуществование современного для писателя языка и речи изображаемой эпохи. Характер сочетания этих двух языковых стихий, их объем, способы, приемы введения элементов языка изображаемой эпохи в ткань художественного произведения являются специфическими.

 

 

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Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Nonlinear Ritz Approximation for the Camassa-Holm Equation by Using the Modify Lyapunov-Schmidt method
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          In this work, the modified Lyapunov-Schmidt reduction is used to find a nonlinear Ritz approximation of Fredholm functional defined by the nonhomogeneous Camassa-Holm equation and Benjamin-Bona-Mahony. We introduced the modified Lyapunov-Schmidt reduction for nonhomogeneous problems when the dimension of the null space is equal to two.  The nonlinear Ritz approximation for the nonhomogeneous Camassa-Holm equation has been found as a function of codimension twenty-four.

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Fri Apr 30 2021
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Iris Identification Based on the Fusion of Multiple Methods
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Iris recognition occupies an important rank among the biometric types of approaches as a result of its accuracy and efficiency. The aim of this paper is to suggest a developed system for iris identification based on the fusion of scale invariant feature transforms (SIFT) along with local binary patterns of features extraction. Several steps have been applied. Firstly, any image type was converted to  grayscale. Secondly, localization of the iris was achieved using circular Hough transform. Thirdly, the normalization to convert the polar value to Cartesian using Daugman’s rubber sheet models, followed by histogram equalization to enhance the iris region. Finally, the features were extracted by utilizing the scale invariant feature

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Publication Date
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Stabilizability of Riccati Matrix Fractional Delay Differential Equation
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Thu Apr 04 2024
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AI-Driven Prediction of Average Per Capita GDP: Exploring Linear and Nonlinear Statistical Techniques
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Average per capita GDP income is an important economic indicator. Economists use this term to determine the amount of progress or decline in the country's economy. It is also used to determine the order of countries and compare them with each other. Average per capita GDP income was first studied using the Time Series (Box Jenkins method), and the second is linear and non-linear regression; these methods are the most important and most commonly used statistical methods for forecasting because they are flexible and accurate in practice. The comparison is made to determine the best method between the two methods mentioned above using specific statistical criteria. The research found that the best approach is to build a model for predi

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Fri Jan 01 2016
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Synthesis, characterization and anticonvulsant evaluation of new derivatives derived from 5-methoxy-2-mercapto benzimidazole
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Publication Date
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Optimal Dimensions of Small Hydraulic Structure Cutoffs Using Coupled Genetic Algorithm and ANN Model
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The Formulation and Evaluation of High-Fat Pellet on Lipid Profiles and Body Mass Index of Male Wistar Rats
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This study aimed to explore the manufacture of high-fat pellets for obesity induction diets in male Wistar rats and determined its effect on lipid profiles and body mass index. It was an experimental laboratory method with a post-test randomized control group. Formulation of high-fat pellets (HFD) and physico-chemical characteristics of pellets were conducted in September 2019. This study used about 28 male Wistar white rats, two months old, and 150-200 g body weight. Rats were acclimatized for seven days, then divided into four groups: 7 rats were given a standard feed of Confeed PARS CP594 (P0), and three groups (P1, P2, P3) were given high-fat feed (HFD FII) 30 g/head/day. The result showed that the mean fat content of Formula II pell

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Publication Date
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parameters measured from FDST were closer to those measured from simple shear and drained triaxial compression test. This study also provides an independent check on

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Publication Date
Fri Jan 01 2016
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Nearly Maximal Submodules
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Publication Date
Sat Dec 30 2023
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Energy Consumption Prediction of Smart Buildings by Using Machine Learning Techniques
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