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  1. 861

    Political leaders and young people: interaction in social networks by A. A. Komarova

    Published 2021-04-01
    “…For a comparative analysis of the data, the sample was divided according to the criteria of age (respondents were divided into three age groups) and gender.…”
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  2. 862

    Modeling Cross-Cultural Competence in Vocational Education Internationalization Using Neutrosophic SuperHyperFunctions and Big Data-Driven Cultural Clusters by Min Huang, Liang Zhang, Fenghua Li

    Published 2025-07-01
    “…This paper introduces a novel approach that models crosscultural competence using Neutrosophic SuperHyperFunctions. These functions allow for the representation of dynamic cultural clusters extracted from big data sources, including digital learning platforms and international student interactions. …”
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  3. 863
  4. 864

    De novo non-canonical nanopore basecalling enables private communication using heavily-modified DNA data at single-molecule level by Qingyuan Fan, Xuyang Zhao, Junyao Li, Ronghui Liu, Ming Liu, Qishun Feng, Yanping Long, Yang Fu, Jixian Zhai, Qing Pan, Yi Li

    Published 2025-05-01
    “…We present DeepSME, a nanopore sequencing and deep-learning based framework towards single-molecule encryption, demonstrated by using 5-hydroxymethylcytosine (5hmC) substitution for individual nucleotide recognition rather than sequential interactions. …”
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  5. 865

    Into the Groove: A Multitechnique Insight into the DNA–Vemurafenib Interaction by Gabriele Cavalieri, Riccardo Pison, Domenico Marson, Erik Laurini, Sabrina Pricl

    Published 2024-10-01
    “…This study explores the interaction between Vemurafenib (VEM), a potent BRAF inhibitor, and calf thymus DNA (ctDNA) using a comprehensive array of biophysical and computational techniques. …”
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  6. 866

    Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball. by Leonardo Lamas, Felipe Santana, Matthew Heiner, Carlos Ugrinowitsch, Gilbert Fellingham

    Published 2015-01-01
    “…<h4>Method</h4>Data consisted of 1548 SCD-SPD-outcome triples obtained from six play-off games. …”
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  7. 867

    GRAPH MODEL OF VEHICLE CONFLICT INTERACTION AT VARIOUS CROSSROADS by D. V. Kapskiy, V. N. Shutst, P. A. Pegin

    Published 2018-05-01
    “…Taking into account the conflict interaction between traffic and pedestrian flows, traffic conditions and traffic trajectories before possible physical interaction the traffic flow graph takes such form which contains complete information about existing conflicts for the required intersection. …”
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  8. 868

    Determining Offshore Ocean Significant Wave Height (SWH) Using Continuous Land-Recorded Seismic Data: An Example from the Northeast Atlantic by Samaneh Baranbooei, Christopher J. Bean, Meysam Rezaeifar, Sarah E. Donne

    Published 2025-04-01
    “…Time series data of secondary microseism amplitudes together with buoy-derived and numerical model ocean significant wave heights are used to train and test the ANN. …”
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  9. 869
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  11. 871

    Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (2003–2023) using NASA GIOVANNI satellite data by Daniel Omeodisemi Omokpariola, John Kanayochukwu Nduka, Martin Osita Anagboso, Patrick Leonard Omokpariola

    Published 2025-05-01
    “…Data was collected and analyzed using the NASA GIOVANNI platform, a web-based tool providing access to Earth science data. …”
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  12. 872

    Alpha-synuclein interacts with regulators of ATP homeostasis in mitochondria by Tetiana Serdiuk, Yanick Fleischmann, Dhiman Ghosh, Aro Delparente, Viviane Reber, Larissa Frey, David Rhyner, Juan Gerez, Norbert Volkmar, Lucie Kralickova, Guillaume Mas, Christian Dörig, Sebastian Hiller, Roger Schibli, Linjing Mu, Paola Picotti, Roland Riek

    Published 2025-08-01
    “…Several of the proteins identified are related to ATP synthesis and homeostasis and include subunits of ATP synthase and the adenylate kinase AK2. Furthermore, our data suggest that α-synuclein interacts with the Parkinson’s disease-related protein DJ1. …”
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  13. 873
  14. 874
  15. 875

    Brain-Heart Interaction in Multi-type Saccade Tasks by Jianli Yang, Yanzhe Zhao, Runqi Liu, Xiaofang Li, Wuji Zhao, Yuancheng He, Huaqing Hao, Licong Li, Jieshuo Zhang, Ming Yan, Mingsha Zhang, Xiuling Liu

    Published 2025-07-01
    “…Methods: The Synthetic Data Generation model was used to quantify the interplay between the brain and heart. …”
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  16. 876
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  18. 878

    MODELLING TOURISM DEMAND USING GOOGLE ANALYTICS: A CASE STUDY OF PORTUGAL’S ALENTEJO REGION by Maria Gorete Ferreira Dinis, Maria Celeste Eusébio, Zélia Breda, Ana Madaleno

    Published 2022-06-01
    “…However, a limited number of studies has been developed to analyse the causal relationships between the web interaction and tourism demand. Therefore, this paper intends to shed light on the usefulness of big data analytics to understand the tourism demand of a destination. …”
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  19. 879

    Quantum chemical study on the interaction of arginine with silica surface by A. A. Kravchenko, E. M. Demianenko, A. G. Grebenyuk, M. I. Terets, M. G. Portna, V. V. Lobanov

    Published 2021-11-01
    “…According to the calculated data, the adsorption of the zwitterionic form of the arginine molecule from the aqueous solution is equally likely to occur due to interaction of silanol groups of silica surface with both the carboxyl group and the guanidine group. …”
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  20. 880

    Pressure tuning of competing interactions on a honeycomb lattice by Piyush Sakrikar, Bin Shen, Eduardo H. T. Poldi, Faranak Bahrami, Xiaodong Hu, Eric M. Kenney, Qiaochu Wang, Kyle W. Fruhling, Chennan Wang, Ritu Gupta, Rustem Khasanov, Hubertus Luetkens, Stuart A. Calder, Adam A. Aczel, Gilberto Fabbris, Russell J. Hemley, Kemp W. Plumb, Ying Ran, Philipp Gegenwart, Alexander A. Tsirlin, Daniel Haskel, Michael J. Graf, Fazel Tafti

    Published 2025-05-01
    “…We observe a rapid suppression of the Néel temperature (T N) with pressure in Ag3LiRh2O6, a spin-1/2 honeycomb lattice with both J and K couplings. Using a combined analysis of x-ray data and first-principles calculations, we find that pressure modifies the bond angles in a way that increases the ∣K/J∣ ratio and thereby suppresses T N. …”
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