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  1. 1621
  2. 1622

    Softening of Vibrational Modes and Anharmonicity Induced Thermal Conductivity Reduction in a‐Si:H at High Temperatures by Zhuo Chen, Yuejin Yuan, Yanzhou Wang, Penghua Ying, Shouhang Li, Cheng Shao, Wenyang Ding, Gang Zhang, Meng An

    Published 2025-08-01
    “…The spectral thermal conductivity, vibrational density of states and lifetimes of vibrational modes are analyzed, which revealed both the softening of vibrational modes and anharmonicity effects contribute to the reduction of thermal conductivity as temperature and hydrogen concentration increase. …”
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    Article
  3. 1623

    Kinetics of Reduction of Iron Ore Powder by Industrial Lignin from Pulping and Papermaking Waste Biomass Energy by Wendi Zhou, Dongwen Xiang, Qiang Zhang, Guoqing Wu, Yajie Wang, Dong Li, Qinghua Zhang, Huaxin Hu

    Published 2025-02-01
    “…The results show that the reduction process of iron ore powder with three reducing agents conforms to the D1 model, that is, the kinetic equation is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mo>(</mo><mi>α</mi><mo>)</mo><mo>=</mo><msup><mrow><mi>α</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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  4. 1624

    The Energy Footprint in the EU: How CO<sub>2</sub> Emission Reductions Drive Sustainable Development by Dariusz Sala, Oksana Liashenko, Michał Pyzalski, Kostiantyn Pavlov, Olena Pavlova, Karol Durczak, Roman Chornyi

    Published 2025-06-01
    “…The findings show that total CO<sub>2</sub> emissions in the EU have decreased since 1990; however, the rate of reduction varies across sectors and member states. …”
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  5. 1625

    Study on the Synergistic Promotion of NOx Reduction in Coal Combustion by CaO and Cu-TiO2 by Wang Shuqin, Zhang Hao, Cao Shuai, Fu Hao

    Published 2025-01-01
    “…Specifically, CaO facilitated denitrification processes involving TiO2 while TiO2 enhanced desulfurization activities associated with CaO. …”
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  6. 1626
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  8. 1628

    Influence of Water Immersion on Coal Rocks and Failure Patterns of Underground Coal Pillars Considering Strength Reduction by Haihua Zhu, Peitao Wang, Kewei Zhang, Yijun Gao, Zhenwu Qi, Meifeng Cai

    Published 2025-06-01
    “…This work aims to investigate the influence of the immersion duration on the mechanical properties and fracture evolution processes of coal, employing acoustic emission detection and the digital image correlation (DIC) method. …”
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  9. 1629

    Technological innovation and engineering practice of damage reduction mining and ecosystem restoration in open-pit coal mine by Quansheng Li, Xiaobin Li

    Published 2024-01-01
    “…Based on theoretical analysis, laboratory experiments, on-site monitoring, mathematical modeling, and other means, the concept of coal ecological protection mining of ‘damage reduction mining, three-dimensional protection, systematic restoration’ is proposed. …”
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  10. 1630
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  12. 1632

    A Holistic Review of the TinyML Stack for Predictive Maintenance by Emil Njor, Mohammad Amin Hasanpour, Jan Madsen, Xenofon Fafoutis

    Published 2024-01-01
    “…This information is afterwards transmitted off the device for processing at a high-performance computer system. While this can allow high-quality predictions, it also imposes barriers that keep some organisations from adopting PdM. …”
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  13. 1633
  14. 1634

    SOCIAL AND PEDAGOGICAL FORECASTING IN THE PROCESS OF CHILDREN’S SOCIALIZATION by Antonina L. Leutina

    Published 2015-03-01
    “…The increase in personal resource value determines the application of socio-structural approach in pedagogy which contributes to the reduction of risks connected with the results of pedagogic activity and makes prediction of social and personal evolution of a child more prominent. …”
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  15. 1635

    Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning. by Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato

    Published 2025-03-01
    “…Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, with a particular emphasis on essential reward-prediction errors. …”
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  16. 1636

    Advancing the thermodynamic approach with the predictive model for the freeze-drying of meat by Oznur Oztuna Taner

    Published 2025-08-01
    “…This study is innovative application research on the freeze-drying of meat process and analyses energy efficiency by employing predictive statistical methods. …”
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    Article
  17. 1637

    Performance Portrait Method: Robust Design of Predictive Integral Controller by Mikulas Huba, Pavol Bistak, Jarmila Skrinarova, Damir Vrancic

    Published 2025-01-01
    “…One such situation is illustrated by an example of predictive integrating (PrI) controller design for processes with a dominant time-delayed sensor dynamics, representing a counterpart of proportional-integrating (PI) controllers, the most frequently used solutions in practice. …”
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  18. 1638
  19. 1639

    Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

    Published 2019-07-01
    “…(3) How will predictive software impact the manufacturing process for other stakeholders and production steps? …”
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  20. 1640

    MQHOA algorithm with energy level stabilizing process by Peng WANG, Yan HUANG

    Published 2016-07-01
    “…Energy level stabilization, en-ergy level reduction, scale reduction were the basic iterative convergence processes of MQHOA, coinciding with its physical model. …”
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