A method for establishing a self-similar dependence of the bottom surface on time and spatial coordinate is proposed. The mean bottom tangential stresses are determined for a series of self-similar shapes of the botto...
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Modern airborne operating systems implement the concept of robust time and resource partitioning imposed by the standards for aerospace and airborne-embedded software systems, such as ARINC 653. While these standards ...
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Bottom-up segmentation approaches, where words are combined into lines, lines into paragraphs, etc., are well-known nowadays. In this work, we use this principle for classification of segments. The features of the blo...
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Abstract: The results of numerical simulation of the problem of the interaction of a vortex flow with a shock wave are presented on the example of using a quasi-gas dynamic (QGD) numerical algorithm, which is implemen...
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Abstract: On the example of the problem of modeling wave attractors in a stratified fluid, the advantages of the quasi-hydrodynamic (QHDFoam) algorithm over the classical algorithm of operator splitting (PISO) are dem...
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This paper explores the connection between systems of linear algebraic equations (SLAE) and machine learning methods, including regularization techniques, to establish a more novel neural network model based on linear...
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The Upper Kama dialect is spoken by the Komi ethnic group residing in the upper Kama River region. The idiom developed independently from the area of distribution of Komi dialects and existed solely in oral form. In K...
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The question of accurate classification of a language or a dialect becomes particularly relevant when its speakers, due to migrations, find themselves in isolated regions. Geographically distant from their original pl...
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ISBN:
(纸本)9798350349993
The question of accurate classification of a language or a dialect becomes particularly relevant when its speakers, due to migrations, find themselves in isolated regions. Geographically distant from their original places of residence. This prompts the inquiry: do these dialects more often succumb to the influence of nearby languages or do they, conversely, 'preserve' themselves with minimal changes? Within the scope of the current research we have aimed to answer this question for a unique Stavropol dialect of the Estonian language, that has been isolated near northern Caucasus for almost 200 years. In 2020 we have recorded a full dictionary of the supposed dialect, containing 2583 entries. Through the examination of this material from three dictionaries using the 'Cognate analysis' (It calculates the phonetic disparities in etymologically related words on LingvoDoc) and the 'Glottochronological Analysis of Dialects' programs on LingvoDoc we've established that Thus, the language of the Podgornoye village exhibits both innovative reflexes (loss of the initial h) and archaic reflexes in consonants. In addition, with regard to vowels, it displays both more archaic features (retention of diphthongs uo and ie) and innovative reflexes (for Estonian diphthongs ea and ó ó). This corroborates with our the hypothesis regarding the 'conservation' of the Stavropol dialect of the Estonian language when compared to standard Estonian. Consequently, on the etymological-phonetic proximity graph, the language of the Podgornoye village is closer to Finnish than Estonian. Thus the Estonian dialect of the village of Podgornoye serves as an example of almost complete 'conservation' after the migration of its speakers to the North Caucasus, where the unique features of Northern Estonian dialects have been preserved through active language use by its speakers. In conclusion, we can see that the lists of basic vocabulary of the dialect of the village of Podgornoye and of the literary Esto
The article delves into the analysis of materials drawn from both the earliest written texts and contemporary field data, leveraging the sophisticated linguistic capabilities of Lingvodoc 3.0 [***]. Within the Khanty ...
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Graph neural networks (GNNs) have shown great promise in a variety of tasks involving graph data, including recommendation systems. However, as GNNs become more widely adopted in practical applications, concerns have ...
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