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    <title>DSpace Collection:</title>
    <link>https://dspace.ncfu.ru/handle/20.500.12258/52</link>
    <description />
    <pubDate>Wed, 13 May 2026 11:43:54 GMT</pubDate>
    <dc:date>2026-05-13T11:43:54Z</dc:date>
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      <title>ON THE DISTRIBUTION OF ROCK LIZARDS OF THE Darevskia (SUPERSPECIES praticola) IN THE NORTH CAUCASUS</title>
      <link>https://dspace.ncfu.ru/handle/123456789/32999</link>
      <description>Title: ON THE DISTRIBUTION OF ROCK LIZARDS OF THE Darevskia (SUPERSPECIES praticola) IN THE NORTH CAUCASUS
Authors: Tolmacheva, E. A.; Толмачева, Е. А.
Abstract: Representatives of the Darevskia (superspecies praticola) have been discovered in the North Caucasus, and these new finds have been analysed. The discovery of Darevskia pontica in Svetly village (Stavropol Krai) suggests that its range is expanding. The northern boundary can be defined by a line running from Staroshcherbinovskaya village to the vicinity of Sonino village, then to the vicinity of Otradovka village, then to the vicinity of Storozhi Vtoroye village, then to Vostochny Sosyk village, then to Svetly settlement, then to Stavropol city. Previously, only D. praticola was known in the Kislovodsk area, although D. pontica was recorded nearby. The new data enable us to identify the area where the ranges of the Pontic lizard and the Meadow lizard overlap in the northern spurs of the Borgustansky Ridge, between the villages of Borgustanskaya and Yasnaya Polyana, in the interfluve of the Bolshoy Essentuchok and Bugunta rivers.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.ncfu.ru/handle/123456789/32999</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Prospects for Using Artificial Intelligence in Socio-psychological Research</title>
      <link>https://dspace.ncfu.ru/handle/123456789/32998</link>
      <description>Title: Prospects for Using Artificial Intelligence in Socio-psychological Research
Authors: Voloskova, N. N.; Волоскова, Н. Н.
Abstract: The research aims to analyze the use of artificial intelligence (AI) in socio-psychological research. The authors examine Russian and international experience in applying AI to the psychological analysis of big data. The research explores the potential of AI in socio-psychological studies, with particular emphasis on a model developed according to the principles of V. S. Merlin’s theory of integral individuality. Unlike traditional approaches that use AI merely as a tool for analyzing a person’s digital footprint, the proposed model replicates the individual’s structure, simulating the cognitive, emotional, and social levels of a professional psychologist. The authors described the architecture of the AI bot, comprising psychodynamic, personality, and socio-psychological levels, each implemented using empirical data obtained through validated psychodiagnostic methods. The bot’s functions include the recognition and psychological interpretation of emotions in textual content. Currently, there are no tools comparable to the proposed model that can assess emotions and provide them with psychological characterization. The novelty of this approach lies in using the theory of integral individuality not as an object of analysis but as a foundation for constructing an AI system.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.ncfu.ru/handle/123456789/32998</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Design, Synthesis, and Investigation of the Photoelectric Properties of Glaucine Derivatives in Sensitized Solar Cells</title>
      <link>https://dspace.ncfu.ru/handle/123456789/32997</link>
      <description>Title: Design, Synthesis, and Investigation of the Photoelectric Properties of Glaucine Derivatives in Sensitized Solar Cells
Authors: Demidov, O. P.; Демидов, О. П.
Abstract: Two Zn(II) coordination compounds based on glaucine-derived Schiff bases were synthesized and investigated as potential materials for dye-sensitized solar cells (DSSCs). The structures of all compounds were established by X-ray diffraction analysis and quantum chemical modeling (DFT/TD-DFT). Their photophysical properties (absorption and luminescence spectra in solution and the solid state), electrochemical characteristics, and photovoltaic parameters in DSSC devices were studied. The highest power conversion efficiency (PCE ~5.18%) was demonstrated by the free ligands, which is attributed to their favorable absorption spectrum and optimal alignment of energy levels relative to the conduction band of TiO2 and the redox couple of the electrolyte. The Zn(II) coordination compounds exhibited significantly lower efficiency (~2.1%). Impedance spectroscopy results indicated more efficient charge transfer at the TiO2/dye/electrolyte interface for the organic derivatives.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.ncfu.ru/handle/123456789/32997</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>A Comparative Analysis of the Integral Individuality of the Professional Psychologist and Artificial Intelligence as a Simulated Model of the Psychologist’s Individuality</title>
      <link>https://dspace.ncfu.ru/handle/123456789/32996</link>
      <description>Title: A Comparative Analysis of the Integral Individuality of the Professional Psychologist and Artificial Intelligence as a Simulated Model of the Psychologist’s Individuality
Authors: Orlinskaya, O. G.; Орлинская, О. Г.
Abstract: This research explores the distinctive features of sentiment analysis of VK social‑network statements carried out by practicing psychologists and ChatGPT acting as a psychologist (AI). The statements were evaluated within the research project “Ageism in Socio‑Labor Relations.” A comparative assessment of the emotional valence of VK posts (positive, neutral, and negative) was conducted. The research revealed significant differences in how professional psychologists and the AI model identified emotional tone. To determine the structural characteristics of the integral individuality of the participating psychologists and AI, the authors performed a comparative analysis of the practitioners and ChatGPT in its psychologist role. The investigation covered the psychodynamic, personality, and socio‑psychological levels of AI, drawing on V. S. Merlin’s theory of their hierarchical organization (natural and social levels). The analysis of these structural differences explained the observed variations in sentiment assessments. The authors found that the main divergences between the psychologists and ChatGPT are located at the psychodynamic (natural) level.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://dspace.ncfu.ru/handle/123456789/32996</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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