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    <link>https://dspace.chmnu.edu.ua/jspui/handle/123456789/814</link>
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    <pubDate>Sat, 11 Apr 2026 11:10:27 GMT</pubDate>
    <dc:date>2026-04-11T11:10:27Z</dc:date>
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      <title>Qubit Decoherence : Symbolic Modeling, Visualization, and Analysis with Maple</title>
      <link>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3153</link>
      <description>Title: Qubit Decoherence : Symbolic Modeling, Visualization, and Analysis with Maple
Authors: Chuiko, G.; Darnapuk, Y.
Abstract: In quantum computing, maintaining coherence in qubits is a persistent challenge - particularly due to dephasing noise, which causes gradual information loss without energy dissipation. This paper investigates how such decoherence processes affect pure quantum states by using symbolic modeling in Maple. Through the Kraus operator formalism, we simulate how the state’s density matrix evolves under varying noise levels and visualize these changes on the Bloch sphere. Our results show that qubits near the equator of the Bloch sphere are significantly more vulnerable to dephasing, which has clear implications for circuits that rely on superposition states, such as those produced by Hadamard gates. We also compute fidelity and norm degradation analytically, highlighting the noise thresholds where quantum error correction becomes essential. These findings not only illustrate the selective nature of decoherence but also support a more tailored design of fault-tolerant quantum algorithms and communication protocols.
Description: Chuiko, G. &amp; Darnapuk, Y. (2025). Qubit Decoherence : Symbolic Modeling, Visualization, and Analysis with Maple. IEEE 13th International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Applications (IDAACS), 4–6 September 2025, Gliwice, Poland, 679–682, DOI: 10.1109/IDAACS68557.2025.11322077.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.chmnu.edu.ua/jspui/handle/123456789/3153</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Odesa in the Grip of “Red” Censorship (1918–1920)</title>
      <link>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3149</link>
      <description>Title: Odesa in the Grip of “Red” Censorship (1918–1920)
Authors: Trygub, O.; Savchenko, V.
Abstract: The current research paper provides a comprehensive analysis of the formation and functioning of “Red” censorship in Odesa from 1918 to 1920 – one of the most dramatic periods in the city’s history, marked by the end of the Great War, civil strife, revolution, multiple changes of power, and the establishment of the Bolshevik dictatorship. Based on a wide range of sources, the legal, institutional, and practical mechanisms for controlling the press and information space applied by Soviet power at various stages of its presence in Odesa are studied. The authors demonstrate that, from the first days of the Bolshevik regime, censorship became a key instrument of political domination and an integral part of the “Red Terror”. The shutdown of periodicals, the confiscation of printing houses, and the persecution of editors and journalists were performed both administratively and extrajudicially, with the active participation of revolutionary committees, revolutionary tribunals, military authorities, and the Cheka bodies. Particular attention is paid to the wiping out of the oldest and most influential Odessa newspapers, as well as the struggle of the authorities against the socialist, Ukrainian, anarchist, and satirical press. This work gives a detailed analysis of three periods of Soviet power in Odesa (1918, 1919, and 1920), identifying the specifics of censorship policy in each period, and demonstrating the evolution of the Bolsheviks’ attitude toward previously allied political forces – the Mensheviks, Socialist Revolutionaries, Borbists, and anarchists – who were forced out of legal public space as the dictatorship strengthened. The phenomenon of the underground press as a form of resistance to censorship pressure is considered separately. The authors conclude that the “temporary” restrictions on freedom of speech promised by the Bolsheviks evolved into a stable and centralized system of control, culminating in the creation of a party-state censorship apparatus. The Odesa experience clearly demonstrates that suppression of press freedom became a fundamental basis of the Soviet model of social governance and a significant factor in the destruction of the city’s cultural and intellectual diversity.
Description: Trygub, O., &amp; Savchenko, V. (2025). Odesa in the Grip of “Red” Censorship (1918–1920). Danubius, 43, 229 – 250.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.chmnu.edu.ua/jspui/handle/123456789/3149</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Analysis of the current state of development of micro-needle systems for transdermal drug delivery (a scoping review).</title>
      <link>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3148</link>
      <description>Title: Analysis of the current state of development of micro-needle systems for transdermal drug delivery (a scoping review).
Authors: Bodnar, L.; Kovalova, T.; Sydora, N.; Shmalko, O.; Berdey, I.; Vyshnevska, L.
Abstract: The aim is to examine the current state of development of microneedle systems for transdermal drug delivery. Materials and methods. Analysis, systematization, and generalization of data from scientific literature sources on the development of microneedle systems, research on their effectiveness, and prospects for use in pharmacy. A modified Ar-skey O’Malley methodology was used, refined by a research group led by H.M. Daudt. A total of 480 publications from the last ten years were analysed. Results. The results of the analysis show that most of the experimental studies focus on the development of microneedle systems for transdermal delivery of vaccines, insulin, and analgesics. In contrast, studies devoted to the creation of drugs with a different direction of action or drugs for the gradual release of active substances using microneedles occupy a smaller segment of the total number. Conclusions. It has been established that most scientists choose to develop microneedle-based drugs for systemic use. The main areas of publication are reviews of literature sources, the development of new microneedle systems, etc. The results obtained indicate the potential and relevance of conducting research on the development of microneedle systems.
Description: Bodnar, L., Kovalova, T., Sydora, N., Shmalko, O., Berdey, I., &amp; Vyshnevska, L. (2026). Analysis of the current state of development of micro-needle systems for transdermal drug delivery (a scoping review). ScienceRise: Pharmaceutical Science, (1 (59), 31–42. DOI: 10.15587/2519-4852.2026.352761</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.chmnu.edu.ua/jspui/handle/123456789/3148</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Improving the Accuracy of Infectious Disease Forecasts Based on Comparing Neural Network Architectures</title>
      <link>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3147</link>
      <description>Title: Improving the Accuracy of Infectious Disease Forecasts Based on Comparing Neural Network Architectures
Authors: Kovaliv, O.; Kondratenko, Y.; Sidenko, I.; Kondratenko, G.; Chumachenko, D.
Abstract: This paper aims to improve the accuracy of infectious disease forecasting using machine learning methods. The main results of this work are an analysis of infectious diseases spread in Ukraine during the time span from December 2016 to January 2024 and a performance comparison of different neural network architectures in the scope of time series forecasting. The following steps were taken: analysis of current forecasting methods, selection of neural network architectures, dataset preprocessing, and model testing. The developed system can be an effective tool for rational management decisions to ensure the epidemiological well-being and biosecurity of the population.
Description: Kovaliv, O., Kondratenko, Y., Sidenko, I., Kondratenko, G., &amp; Chumachenko, D. (2026). Improving the Accuracy of Infectious Disease Forecasts Based on Comparing Neural Network Architectures. Computation, 14 (2), 54. DOI: 10.3390/computation14020054</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.chmnu.edu.ua/jspui/handle/123456789/3147</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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