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  1. 141

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

    Published 2012-12-01
    “…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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  2. 142

    Morphological reduplication in Jordanian Arabic: form and function by Khaled H. Abu-Abbas, Amal R. Alomari

    Published 2024-12-01
    “…Morphological reduplication is categorized as involving either the doubling of a semantically empty stem to create a morpheme, or the doubling of a monosyllabic morpheme to achieve specific pragmatic functions. …”
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  3. 143

    Verbal Message and Punctuation Marking in Their Functional Interrelationships by K. Ya. Seagal

    Published 2025-02-01
    “…This study presents a description of the types of functional interrelationships between verbal messages and punctuation marking within the context of individual authorial punctuation practices among Russian speakers from the late 18th to the early 21st century. …”
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  4. 144

    Functional Shift Between Nouns, Adjectives and Adverbs by Hürriyet Gökdayı, Çiğdem Kalegeri

    Published 2024-12-01
    “…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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  5. 145
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  7. 147

    Initial Coefficient Bounds for Bi-Close-to-Convex Classes of <i>n</i>-Fold-Symmetric Bi-Univalent Functions by P. Gurusamy, M. Çağlar, L. I. Cotirla, S. Sivasubramanian

    Published 2024-10-01
    “…In this article, the strong class of bi-close-to-convex functions of order <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> in <i>n</i>-fold symmetric bi-univalent functions, which is the subclass of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>σ</mi></semantics></math></inline-formula>, is introduced. …”
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  8. 148

    Lexical-semantic processing in the semantic priming paradigm in aphasic patients by Jerusa Fumagalli de Salles, Candice Steffen Holderbaum, Maria Alice Mattos Pimenta Parente, Letícia Lessa Mansur, Ana Inès Ansaldo

    Published 2012-09-01
    “…Furthermore, evidence on dissociations between implicit and explicit lexical-semantic processing reported in the literature will be discussed and interpreted by referring to functional neuroimaging evidence from healthy populations. …”
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  9. 149
  10. 150

    Generalized Stability of a General Septic Functional Equation by Sun-Sook Jin, Yang-Hi Lee

    Published 2025-02-01
    “…In this paper, we generalize previous results on the generalized stability of the general septic functional equation <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mo>Δ</mo><mrow><mi>y</mi></mrow><mn>8</mn></msubsup><mi>f</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>=</mo><mn>0</mn></mrow></semantics></math></inline-formula> for all <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mo>,</mo><mi>y</mi><mo>∈</mo><mi>V</mi></mrow></semantics></math></inline-formula>.…”
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  11. 151
  12. 152

    <i>r</i>-Free Convolution and Variance Function by Shokrya S. Alshqaq, Raouf Fakhfakh, Fatimah Alshahrani

    Published 2025-02-01
    “…This paper presents certain features of the <i>r</i>-free convolution in relation to the CSK families and their associated variance functions. We provide the variance function formula under <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mtable frame="solid"><mtr><mtd><mi>r</mi></mtd></mtr></mtable></semantics></math></inline-formula>-convolution power. …”
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  13. 153

    Inequalities for Basic Special Functions Using Hölder Inequality by Mohammad Masjed-Jamei, Zahra Moalemi, Nasser Saad

    Published 2024-09-01
    “…Let <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo>,</mo><mi>q</mi><mo>≥</mo><mn>1</mn></mrow></semantics></math></inline-formula> be two real numbers such that <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>p</mi></mfrac></mstyle><mo>+</mo><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>q</mi></mfrac></mstyle><mo>=</mo><mn>1</mn></mrow></semantics></math></inline-formula>, and let <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>a</mi><mo>,</mo><mi>b</mi><mo>∈</mo><mi mathvariant="double-struck">R</mi></mrow></semantics></math></inline-formula> be two parameters defined on the domain of a function, for example, <i>f</i>. …”
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  14. 154

    Average Size of Ramanujan Sum Associated with Divisor Function by Xin Li, Wenguang Zhai

    Published 2025-02-01
    “…In this paper, we establish an asymptotic formula for the mean value of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>c</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>, which is associated with the divisor function, over both <i>m</i> and <i>n</i>.…”
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  15. 155
  16. 156

    Optimal Estimators of Cross-Partial Derivatives and Surrogates of Functions by Matieyendou Lamboni

    Published 2024-07-01
    “…The associated estimators, based on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>L</mi></mrow></semantics></math></inline-formula> model runs, reach the optimal rates of convergence (i.e., <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">O</mi><mo>(</mo><msup><mi>N</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo></mrow></semantics></math></inline-formula>), and the biases of our approximations do not suffer from the curse of dimensionality for a wide class of functions. …”
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  17. 157

    Relaxing the Φ-Family Auxiliary Functions and Related Results by Salvatore Sessa, Yahya Almalki, Monairah Alansari, Muhammad Usman Ali, Essam Saleh Saad Said Al-Yari

    Published 2025-04-01
    “…Through a novel family of functions referred to as the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Δ</mo></semantics></math></inline-formula>-family, which simplifies the axioms in comparison to the previously defined <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Φ</mo></semantics></math></inline-formula>-family, the study unifies a few classical fixed-point theorems. …”
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  18. 158
  19. 159

    On Properties of Karamata Slowly Varying Functions with Remainder and Their Applications by Azam A. Imomov, Erkin E. Tukhtaev, János Sztrik

    Published 2024-10-01
    “…In this paper, we study the asymptotic properties of slowly varying functions of one real variable in the sense of Karamata. …”
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  20. 160

    A Quantum Algorithm for the Classification of Patterns of Boolean Functions by Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris

    Published 2025-05-01
    “…Our algorithm achieves classification in a straightforward manner as the final measurement reveals the unknown function with a probability of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.0</mn></mrow></semantics></math></inline-formula>. …”
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