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    <title>ЭБ Коллекция: NPCS Vol.27, no.3 (2024), pp. 208-310</title>
    <link>https://elib.bsu.by:443/handle/123456789/335245</link>
    <description>NPCS Vol.27, no.3 (2024), pp. 208-310</description>
    <pubDate>Mon, 20 Apr 2026 06:32:39 GMT</pubDate>
    <dc:date>2026-04-20T06:32:39Z</dc:date>
    <item>
      <title>A General Approach to Authenticated Key Establishment Based on Homomorphic Secret Sharing</title>
      <link>https://elib.bsu.by:443/handle/123456789/335362</link>
      <description>Заглавие документа: A General Approach to Authenticated Key Establishment Based on Homomorphic Secret Sharing
Авторы: Shenets, N. N.
Аннотация: This paper addresses the problem of establishing a secure communication channels between parties in a multiparty environment. Most of well-known key establishment protocols used in practice are based on Diﬃe–Hellman problems and require signiﬁcant computational costs. Therefore, key pre-distribution protocols are preferred for resource-constrained devices. In this paper, we consider protocols of this type based on secret sharing and propose a general approach using the homomorphic property of secret sharing schemes. Examples of such protocols are given and their security properties are analyzed. We also prove some interesting side results   there are no perfectly secure two party key agreement and joint multiparty threshold decreasing protocols in a public channels setting. Finally, we rise a problem whose solution will allow for lightweight and secure connections between any devices.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
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      <dc:date>2024-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Quantum Chemical Modeling of Three-Component System Cisplatin–Fullerenol–Quinine: HF-3c Quantum Chemical Modeling</title>
      <link>https://elib.bsu.by:443/handle/123456789/335361</link>
      <description>Заглавие документа: Quantum Chemical Modeling of Three-Component System Cisplatin–Fullerenol–Quinine: HF-3c Quantum Chemical Modeling
Авторы: Dikusar, E. A.; Pushkarchuk, A. L.; Bezyazychnaya, T. V.; Akishina, E. A.; Soldatov, A. G.; Kuten, S. A.; Ermak, D. V.; Pivovarchik, T. S.; Migas, D. B.; Styopin, S. G.; Nizovtsev, A. P.; Kilin, S. Ya.; Kulchitsky, V. A.; Mukusheva, G. K.; Aliyeva, M. R.; Potkin, V. I.; Babichev, L. F.
Аннотация: This study investigates rational approaches to the targeted delivery of chemotherapeutic drugs, with a focus on cisplatin, and explores methods to enhance their cytotoxic eﬀects. The work presents results from computer modeling of the structural and electronic characteristics of quinine, fullerene, and cisplatin. Using quantum-chemical modeling with the HF-3c/MINIS/MINIS11(d)(Cl)/def2-SV(P)ECP(Pt) level of theory, and accounting for intermolecular interactions within the ORCA 5.03 software package, the electronic structure and binding energy of cisplatin, quinine, and fullerene adducts, as well as their threecomponent systems, were investigated. By analyzing the total energies of the systems and the calculated energy diagrams of the highest occupied and lowest unoccupied molecular orbitals for the initial components and the molecular ensembles they form, we concluded the most stable combinations. The study suggests a synergistic eﬀect and outlines the potential use of the three-component system of cisplatin–quinine–fullerene C60(OH)24 in chemotherapy for oncology practice.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/335361</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Eﬀective Small Object Detection in Remote Sensing Images Based on Improved YOLOv8 Network</title>
      <link>https://elib.bsu.by:443/handle/123456789/335358</link>
      <description>Заглавие документа: Eﬀective Small Object Detection in Remote Sensing Images Based on Improved YOLOv8 Network
Авторы: Li Zhiyuan; Wang Hao; Guangdi Ma; Yang Weichen; Ablameyko, S.
Аннотация: Small object detection has long been a challenging and prominent research area in computer vision. Driven by deep learning, small object detection has made major breakthroughs and has been successfully applied in ﬁelds such as national defense security, intelligent transportation, and industrial automation. In our research, we conduct a comprehensive analysis and improvement of the YOLOv8-n algorithm for object detection, and propose two new algorithms. The ﬁrst algorithm adds an SE Attention module and a detection head for small objects in YOLOv8. Improvements include the following points: a) adding a detection head for small objects to enhance detection capabilities for small objects,&#xD;
b) adding an SE Attention module to the network to improve the detection capability of the model. The resulting algorithm improves the performance of YOLOv8 in small object detection on the remote sensing image DOTA-v2.0 dataset and reduces the interference of noisy data to a certain extent. The second model incorporates the CA attention mechanism into the YOLOv8n model and uses the SEResNeXtBottleneck detection header instead of the YOLOv8n header. Through experimental validation on the DOTAv1 dataset, our improved model demonstrates a more accurate ability to detect small objects, and the experimental results show that by adding the CA attention mechanism, the model is able to focus more eﬀectively on key regions of the image, thereby improving detection accuracy.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/335358</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Solutions with Cylindrical Symmetry for Graviton Field in Linear Approximation: The Gauge Degrees of Freedom</title>
      <link>https://elib.bsu.by:443/handle/123456789/335357</link>
      <description>Заглавие документа: Solutions with Cylindrical Symmetry for Graviton Field in Linear Approximation: The Gauge Degrees of Freedom
Авторы: Ivashkevich, A. V.; Ovsiyuk, E. M.; Bury, A. V.; Kisel, V. V.; Red’kov, V. M.
Аннотация: The theory of the graviton ﬁeld in linear approximation is studied. We apply the matrix equation in Minkowski space-time, specifying it the cylindrical coordinates t, r, φ, z and tetrad. By diagonalizing the operators of the energy, the third projection of the total angular momentum, and the third projection of the linear momentum, we derive the system of 39 diﬀerential equations in polar coordinate r. It is resolved with the use of the method by Fedorov–Gronskiy. In accordance with this, dependance of all 39 functions is determined through only ﬁve diﬀerent functions of the variable r, in the case under consideration they are expressed in terms of Bessel functions. We have constructed six linearly independent solutions of the basic equation. In order to eliminate the gauge degrees of freedom, we use the general deﬁnition for gauge solutions according to the Pauli–Fierz approach, now adjusted to tetrad formalism. These gauge solutions are constructed with the use the exact solutions for massless spin 1 ﬁeld. In this way, we ﬁnd explicit form of four independent gauge solutions for spin 2 ﬁeld. In the end, we ﬁnd a explicit form of two gauge-free solutions for spin 2 ﬁeld, as it should be expected by physical reason.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/335357</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
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