Structural and Semantic Realizations of Phrase Scheme “not + infinitive + same” in Newspaper and Literary Texts by L. A. Zolotareva, Tczianxin Zhen

“…The article deals with the structural and semantic features of the phrase scheme “not + infinitive + same” associated with the functioning of the structure in newspaper and literary texts. …”
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Explanation of the Evidences and Documents of the Semantic Quasi System (Regularity, Discipline) of the Holy Qur'an by Hossein Jeddi, Hassan Naqizadeh, Abbas Esmailizadeh

“…Adopting this method of orderliness (regularity, discipline), which can be referred to as the reticulated order of the Qur'anic text, brings many functions in interpretive achievements. On the other side, the necessity of resorting to a comprehensive approach and forming a Quran-based regularity quasi system requires an intra-religious basis finding. …”
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Semantic and Motivational Characteristics of Neolexemes of Enmity: Discursive Disclosure of Inner Form of the Word by L. N. Rebrina

“…The article presents the results of a study of a number of Russian-language neolexemes functioning in Internet communication over the past two decades. …”
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Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach by Asim Abbas, Mutahira Khalid, Sebastian Chalarca, Fazel Keshtkar, Syed Ahmad Chan Bukhari

“…Authorial queries can be posted on the "Knowledge Cafe," and community experts can provide recommendations for semantic annotations. The community can further validate and evaluate the expert responses through a voting scheme resulting in a transformed "Knowledge Cafe" environment that functions as a knowledge graph with semantically linked entities. …”
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Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation by Sabahat Sabir, Fahad Maqbool, Muhammad Saad Razzaq, Dilawar Shah, Shujaat Ali, Muhammad Tahir, Hafiz Muhammad Faisal Shehzad

“…Abstract In the healthcare industry, the Semantic Web offers to manage a huge amount of medical data which is machine-readable and machine-understandable as well. …”
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ASSESSMENT OF PHYSICAL HEALTH OF SCHOOLS GRADUATES GOING TO THE UNIVERSITIES by V. M. Klimov, R. I. Aizman

“…Their physical and psychofunctional condition was estimated using morphological, functional, psychophysiological parameters and the indicators of physical preparedness.Results. …”
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Two Families of Bi-Univalent Functions Associating the (<i>p</i>, <i>q</i>)-Derivative with Generalized Bivariate Fibonacci Polynomials by Sondekola Rudra Swamy, Basem Aref Frasin, Daniel Breaz, Luminita-Ioana Cotîrlă

“…We find estimates on the coefficients <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mo>|</mo></mrow><msub><mi>d</mi><mn>2</mn></msub><mrow><mo>|</mo></mrow></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mo>|</mo></mrow><msub><mi>d</mi><mn>3</mn></msub><mrow><mo>|</mo></mrow></mrow></semantics></math></inline-formula> and the of Fekete–Szegö functional for members of these families. …”
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Generalized Weak Contractions Involving a Pair of Auxiliary Functions via Locally Transitive Binary Relations and Applications to Boundary Value Problems by Nidal H. E. Eljaneid, Esmail Alshaban, Adel Alatawi, Montaser Saudi Ali, Saud S. Alsharari, Faizan Ahmad Khan

“…The intent of this paper was to investigate the fixed-point results under relation-theoretic generalized weak contractivity condition employing a pair of auxiliary functions <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϕ</mi></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ψ</mi></semantics></math></inline-formula> verifying appropriate properties. …”
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A Note on APN Permutations and Their Derivatives by Augustine Musukwa

“…Additionally, we determined that the sum of the weights of the second-order derivatives of the components of any vectorial Boolean function is at most <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mn>2</mn><mrow><mn>2</mn><mi>n</mi><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo>(</mo><msup><mn>2</mn><mi>n</mi></msup><mo>−</mo><mn>1</mn><mo>)</mo></mrow><mrow><mo>(</mo><msup><mn>2</mn><mi>n</mi></msup><mo>−</mo><mn>2</mn><mo>)</mo></mrow></mrow></semantics></math></inline-formula>. …”
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Nonlinear Compensation of the Linear Variable Differential Transducer Using an Advanced Snake Optimization Integrated with Tangential Functional Link Artificial Neural Network by Qiuxia Fan, Xinqi Zhang, Zhuang Wen, Lei Xu, Qianqian Zhang

“…To extend the measurement range, this paper proposes an advanced Snake Optimization–Tangential Functional Link Artificial Neural Network (ASO-TFLANN) model to extend the linear range of LVDT. …”
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Low Transitive Constructions as Typical Clauses in English: A Case Study of the Functions of Clauses with the Nonverbal Predicate <i>be</i> in Stance Displays by Patricia Mayes

“…This framework is used to analyze how participants use the multiple semantic functions of <i>be</i> clauses across interactional sequences to display and modify their stances in response to their opponent. …”
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Unveiling the Micro-Mechanism of Functional Group Regulation for Enhanced Dielectric Properties in Novel Natural Ester Insulating Oil TME-C₁₀ by Min Chen, Tao Zhang, Jinyuan Zhang, Chunyi Liu, Dong Chen, Jin Zhang

“…The functional groups in the molecular structure of natural ester insulating oil have a significant impact on its physicochemical and electrical properties. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Notes on Cauchy–Stieltjes Kernel Families by Shokrya S. Alshqaq, Raouf Fakhfakh, Fatimah Alshahrani

“…The free Meixner family (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="double-struck">FMF</mi></semantics></math></inline-formula>) is the family of measures that produces quadratic Cauchy–Stieltjes Kernel (CSK) families (i.e., meaning that the associated variance function (VF) is a polynomial with degree <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>≤</mo><mn>2</mn></mrow></semantics></math></inline-formula> in the mean). …”
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Invariance Property of Cauchy–Stieltjes Kernel Families Under Free and Boolean Multiplicative Convolutions by Fahad Alsharari, Raouf Fakhfakh, Fatimah Alshahrani

“…This article delves into some properties of free and Boolean multiplicative convolutions, in connection with the theory of Cauchy–Stieltjes kernel (CSK) families and their respective variance functions (VFs). Consider <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="script">K</mi><mo>−</mo></msub><mrow><mo>(</mo><mi>μ</mi><mo>)</mo></mrow><mo>=</mo><mrow><mo>{</mo><msubsup><mi>Q</mi><mi>m</mi><mi>μ</mi></msubsup><mrow><mo>(</mo><mi>d</mi><mi>s</mi><mo>)</mo></mrow><mo>:</mo><mspace width="4pt"></mspace><mspace width="4pt"></mspace><mi>m</mi><mo>∈</mo><mrow><mo>(</mo><msubsup><mi>m</mi><mo>−</mo><mi>μ</mi></msubsup><mo>,</mo><msubsup><mi>m</mi><mn>0</mn><mi>μ</mi></msubsup><mo>)</mo></mrow><mo>}</mo></mrow></mrow></semantics></math></inline-formula>, a CSK family induced by a non-degenerate probability measure <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> on the positive real line with a finite first-moment <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msubsup><mi>m</mi><mn>0</mn><mi>μ</mi></msubsup></semantics></math></inline-formula>. …”
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An Information-Theoretic Proof of a Hypercontractive Inequality by Ehud Friedgut

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Sharp Estimates of Pochhammer’s Products by Vito Lampret

“…Sharp, asymptotic estimates of classical and generalized rising/falling Pochhammer’s products having positive arguments are presented on the basis of Stirling’s approximation formula for the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Γ</mo></semantics></math></inline-formula> function.…”
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Modus Ethical Categories as a Condition for the Emergence of Phraseological Semantics, their Application in Political Discourse by Klara Abisheva, Marzhan Akosheva, Gulbagira Ayupova, Aiman Nurgazina, Bulat Ayapbergenov, Assel Baikadamova

“…An integrative methodological paradigm and a cognitive-semantic approach were applied in the study.   Cognitive semantics offers new principles for analysing phraseological units: equality of cognitive and communicative functions of language, interdisciplinarity, multifactoriality, anthropocentricity and multilevelness. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…This method automatically generates single-frame target detection boxes based on multi-frame joint segmentation, offering advantages in speed, cost, and accuracy. For loss function optimization, a density-based loss function is introduced to address the issue of overfitting in dense regions due to the uneven distribution of point cloud data. …”
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Overcoming the Semantic Barrier and Developing the Ability to Use Communicative Tools. Part II. Psychotechnique by E.N. Soldatenkova

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