Poetics of Title in Non-Novel Prose by I. A. Goncharov by G. G. Bagautdinova

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Euphemisms in Modern Political Discourse: Joseph Biden’s Speeches in the War in Uk by Nataliia M. Tymoshchuk

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Functions of Intertextual Inclusions in Contemporary Publicist Discourse by M. N. Nikolaeva, O. V. Trunova

“…The relevance and scientific novelty of the work stem from the need to study the functions of intertextual inclusions in non-fiction discourse. …”
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Function of Neologisms in Electronic Mass Media Headlines by V. A. Toropkina

“…Attention is paid to structural-semantic and discursive factors that affect the implementation of functions of a title: the determining factors are the structure of a neologism (presence of evaluation-marked elements, semantics of producing words), the method of its creation (usual / non-usual), as well as usage context. …”
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Occasional Collocations in P. B. Shelley’s Poem “Ginevra” by M. V. Vlavatskaya, A. V. Emelyanova

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Occasional Collocations in Poetry of P. B. Shelley and Their Typology by A. V. Korshunova

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Linguistic-Cognitive Text Model “Description” by Y. N. Varfolomeeva

Subjects: “…functional-semantic types of speech…”
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CONSTRUCTION AND APPLICATION OF THE LACUNA’S TRANSLATION MODEL IN MODERN LINGUISTICS by Li Yanxue

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Novel kernel function for computing the similarity of text by Xiu-hong WANG, Shi-guang JU

“…To enhance the performance of detecting similar documents,a novel kernel function named S_Wang kernel was constructed.Based on the actual situation of computing text similarity,the S_Wang kernel was newly bu lt with consideration of the Euclidean distance and angle between vectors that represented the text documents to be compared.It was proved that the function could be constructed as a kernel function according to Mercer theorem.Experimental verification of the performance of the kernels in the text document similarity calculation was provided.The results show that the S_Wang kernel is significantly better than the precision and F1 performance of other kernels like Cauchy kernel,Latent Semantic Kernel (LSK) and CLA kernel.S_Wang kernel is suitable for text similarity computation.…”
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Functional Shift Between Nouns, Adjectives and Adverbs by Hürriyet Gökdayı, Çiğdem Kalegeri

“…Determining the types of words is crucial for revealing their functions in sentences and clarifying the roles of the words that form those sentences within their context. …”
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Functioning of Composite Preterites in the Ancient Literary Heritage by O.F. Zholobov

“…To achieve this purpose, the following tasks have been fulfilled: a) historiographic analysis of the term “perfect” in palaeoslavistics and Indo-European linguistics has been carried out; b) critical review of the researchers’ opinions on the Old Slavonic perfect functional-semantic nature has been given; c) the perfect functioning in some Old Russian sources has been considered; d) a new hypothesis of the Slavonic perfect formation and the nature of its original semantics has been given. …”
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Actualization of color lexicon functions in economic discourse by T. V. Andryukhina

“…Modern economic discourse is characterized by the wide use, expansion of color palette, complexity and creativity of the semantics of color terms. The aim of the study is to identify, describe and analyze the peculiarities of the functions of color lexicon in economic discourse and thus verify the hypothesis about the influence of pragmatic and functional parameters of discourse on the functioning of color terms as a lexical group. …”
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Functional-interactive function of linguistic and narrative signs in Kurdish pastoral stories (Case study of the stories of Khaumirabad section of Marivan city) by Srweh Fatahi, Narges Jaberinasab, Ahmad Khatami

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Summatory Multiplicative Arithmetic Functions: Scaling and Renormalization by Leonid G. Fel

“…We consider a wide class of summatory functions <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mfenced separators="" open="{" close="}"><mi>f</mi><mo>;</mo><mi>N</mi><mo>,</mo><msup><mi>p</mi><mi>m</mi></msup></mfenced><mo>=</mo><msub><mo>∑</mo><mrow><mi>k</mi><mo>≤</mo><mi>N</mi></mrow></msub><mi>f</mi><mfenced separators="" open="(" close=")"><msup><mi>p</mi><mi>m</mi></msup><mi>k</mi></mfenced></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>m</mi><mo>∈</mo><msub><mi mathvariant="double-struck">Z</mi><mo>+</mo></msub><mo>∪</mo><mrow><mo>{</mo><mn>0</mn><mo>}</mo></mrow></mrow></semantics></math></inline-formula> associated with the multiplicative arithmetic functions <i>f</i> of a scaled variable <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>∈</mo><msub><mi mathvariant="double-struck">Z</mi><mo>+</mo></msub></mrow></semantics></math></inline-formula>, where <i>p</i> is a prime number. …”
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Partitioning Functional of a Class of Convex Bodies by Xinling Zhang

“…In this paper, we prove a series of inequalities about partitioning functionals of convex cones. Several estimations of partitioning functionals of the convex hull of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>A</mi><mo>+</mo><mi>u</mi><mo>)</mo><mo>∪</mo><mo>(</mo><mi>A</mi><mo>−</mo><mi>u</mi><mo>)</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>A</mi><mo>+</mo><mi>u</mi><mo>)</mo><mo>∪</mo><mo>(</mo><mo>−</mo><mi>A</mi><mo>−</mo><mi>u</mi><mo>)</mo></mrow></semantics></math></inline-formula> are also presented, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mo>⊆</mo><msup><mi mathvariant="double-struck">R</mi><mrow><mi>n</mi><mo>−</mo><mn>1</mn></mrow></msup><mo>×</mo><mrow><mo>{</mo><mn>0</mn><mo>}</mo></mrow></mrow></semantics></math></inline-formula> is a convex body with the origin <i>o</i> in its interior, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>u</mi><mo>∈</mo><msup><mi mathvariant="double-struck">R</mi><mi>n</mi></msup><mrow><mo>∖</mo></mrow><mrow><mo>(</mo><msup><mi mathvariant="double-struck">R</mi><mrow><mi>n</mi><mo>−</mo><mn>1</mn></mrow></msup><mo>×</mo><mrow><mo>{</mo><mn>0</mn><mo>}</mo></mrow><mo>)</mo></mrow></mrow></semantics></math></inline-formula>. …”
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Two Monotonicity Results for Beta Distribution Functions by Kurt Hornik

“…Write <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>pbeta</mi><mo>(</mo><mo>·</mo><mo>,</mo><mi>α</mi><mo>,</mo><mi>β</mi><mo>)</mo></mrow></semantics></math></inline-formula> for the distribution function of the Beta distribution with parameters <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula>. …”
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Pseudorandom Function from Learning Burnside Problem by Dhiraj K. Pandey, Antonio R. Nicolosi

“…We present three progressively refined pseudorandom function (PRF) constructions based on the learning Burnside homomorphisms with noise (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>B</mi><mi>n</mi></msub></semantics></math></inline-formula>-LHN) assumption. …”
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Similarity of Overlap Functions and Robustness of Fuzzy Reasoning by Songsong Dai, Qiuchen Ruan

“…In this paper, we introduce the concepts of the similarity and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>δ</mi></semantics></math></inline-formula>-equality of overlap functions to measure the degree of similarity between two overlap functions. …”
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On the Lanczos Method for Computing Some Matrix Functions by Ying Gu, Hari Mohan Srivastava, Xiaolan Liu

“…Previous work has mainly focused on how to use the Krylov-type method to efficiently calculate matrix functions <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>f</mi><mo>(</mo><mi>A</mi><mo>)</mo></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="bold-italic">β</mi></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi mathvariant="bold-italic">β</mi><mi>T</mi></msup><mi>f</mi><mrow><mo>(</mo><mi>A</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="bold-italic">β</mi></semantics></math></inline-formula> when <i>A</i> is symmetric. …”
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The Geometric Characterizations of the Ramanujan-Type Entire Function by Khaled Mehrez, Abdulaziz Alenazi

“…In the present paper, we present certain geometric properties, such as starlikeness, convexity of order <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>η</mi><mspace width="0.277778em"></mspace><mo>(</mo><mn>0</mn><mo>≤</mo><mi>η</mi><mo><</mo><mn>1</mn><mo>)</mo></mrow></semantics></math></inline-formula>, and close-to-convexity, in an open unit disk of the normalized form of Ramanujan-type entire functions. …”
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