Showing 901 - 920 results of 2,295 for search '((\ source selection function\ ) OR (( resourcess OR resources) detection functions\ ))', query time: 0.34s Refine Results
  1. 901

    POTENTIAL OF MACHINE TRANSLATION IN MUSEUM MEDIA DISCOURSE: ANALYSIS OF MODERN BROWSER SYSTEMS by Vera A. Mityagina, Anna A. Novozhilova, Anna P. Naumova

    Published 2024-11-01
    “…The results of analyzing the machine translation of English-, German- and French-language content of museums’ media discourse into Russian are based on the usage of built-in browser systems from Yandex, Google and Microsoft. The selection of fragments for comparative analysis is carried out taking into account the random choice of the source language by users. …”
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  2. 902

    Continuous theta burst stimulation of angular gyrus reduces subjective recollection. by Yasemin Yazar, Zara M Bergström, Jon S Simons

    Published 2014-01-01
    “…Supporting predictions of the subjective recollection account, temporary disruption of angular gyrus was associated with highly accurate source recollection accuracy but a selective reduction in participants' rated source confidence. …”
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    Attitude of patients and doctors of government health care system to the basic principles of medical ethics by E. P. Pukhova, O. Yu. Kutumova, D. O. Trufanov

    Published 2021-03-01
    “…Materials and methods. For the selection of respondents was used the representative sample based on gender and age of respondents (for the selection of patients), and by specialty of a medical workers (for doctors). …”
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  6. 906

    Vocal constraints on song amplitude in star finches Bathilda ruficauda by Hana Goto, Masayo Soma, Ayumi Mizuno, Henrik Brumm

    Published 2025-07-01
    “…This suggests that the frequency-amplitude correlation is a more general phenomenon in bird vocalisations, independent of the overall source amplitude of a species. While the evolution of birdsong is often viewed as constrained by neural costs and body size, or selective pressures from predators and social aggression, our results emphasise the importance of understanding phonetic features as well. …”
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  7. 907

    <i>In silico</i> prediction of the transcription factor-enhancer interaction as a first stage of axonal growth regulation by D. D. Kotelnikov, I. A. Sinyakin, E. A. Borodin, T. A. Batalova

    Published 2023-12-01
    “…The enhancer sequence of DCC and SHH protein genes were taken from the NCBI open-source database in FASTA format. Ensembl database was used for enhancer mapping, GeneCards was used for screening and selection of potentially appropriate enhancers and transcription factors associated with these enhancers. …”
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  8. 908

    Determination of Pipe Diameter Using Optimization Method by Pavlov Mikhail Vasilyevich, Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Bhatnagar Sanjay, Kommanaboina Uma Shankar, Sharma Dikshit, Singh Digvijay, Sateesh N., Singh Pankaj Kumar

    Published 2024-01-01
    “…During the design phase of engineering networks, a critical issue remains the selection of pipe diameters that minimize capital investments for transporting the heat carrier from the heat source to the consumers. …”
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    Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

    Published 2017-12-01
    “…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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    Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

    Published 2025-03-01
    “…Persistent Mobile Organic Compounds (PMOCs) represent a critical threat to water resources due to their high solubility, resistance to degradation, and potential toxicity, posing risks to human health and ecosystems. …”
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  14. 914

    Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

    Published 2021-01-01
    “…We also describe a scheme that randomly selects one of several available paths in which the simultaneously measured irradiance samples, after interleaving, are used to generate the raw key. …”
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  15. 915

    Sociocultural activities of wartime library within the context of the Ukrainian sociohumanitarian science priorities by Vasylenko Olha, Sereda Tetiana

    Published 2024-01-01
    “…The purpose of the article is to examine legal documents of the National Academy of Sciences of Ukraine during full-scale war in Ukraine as a component of scientific and information source base for the libraries sociocultural activities and to highlight the organization of events on the corresponding topics in the leading scientific libraries. …”
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    Transcriptomic analysis reveals that selenium-enriched Lactobacillus plantarum alleviates high -salinity stress in common carp through lipid metabolism and ferroptosis signalling p... by Xinchi Shang, Xinghua Che, Longwu Geng, Qing Zhang, Haijun Wei, Wang Li, Xiaodan Shi, Wei Xu

    Published 2025-09-01
    “…Inland water resource salinisation is a global problem. High salinity leads to increased pressure on the survival of aquatic animals, severely limiting the development of the aquaculture industry. …”
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  18. 918

    A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

    Published 2025-05-01
    “…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
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