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  1. 3701

    Hypothetical Art and Art Education: The Educational Role of the Method of Hypothetical Artwork Modelling by Jurij Selan

    Published 2011-06-01
    “…In this case, the construction of the hypothetical artwork is handled as the construction of a theoretical model. …”
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  2. 3702

    Hypothetical Art and Art Education: The Educational Role of the Method of Hypothetical Artwork Modelling by Jurij Selan

    Published 2018-01-01
    “…In this case, the construction of the hypothetical artwork is handled as the construction of a theoretical model. …”
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    Article
  3. 3703

    The Bondei object pronoun in clefts and pseudo-clefts.pdf by Elizabeth G. Weber

    Published 1988-08-01
    “…In both cleft and pseudo-cleft constructions, however, the object pronoun obligatorily functions to grammatically mark clef ted and pseudo-clef ted objects as definite. …”
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  4. 3704

    Radiation of piezoelectric rings into the air through cylindrical waveguides by W. PAJEWSKI, P. KIEŁCZYŃSKI, M. SZALEWSKI

    Published 2014-01-01
    “…In the case of short cylinders the vibrations are more complicated, one obtains zero-order Bessel function with several zero-crossings. For long cylinders Bessel function is truncated, the quantity of sidelobes is reduced. …”
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    Article
  5. 3705

    Student Management Method of Private Colleges and Universities Based on Geographic Information System and WIFI by Dongmin Qiao, Huan Yang, Ying Liu

    Published 2022-01-01
    “…In the structural design, this paper divides the platform into several modules according to the idea of modularization and narrates the function of each part. In the database design, this paper completes the construction of each function of the platform. …”
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  6. 3706

    Stability and practical feasibility of the 3D nonlinear guidance law by Jiayi Yuan, Bowen Duan, Jianliang Ai

    Published 2025-07-01
    “…Then, a handle-friendly Lyapunov function in the sense of LaSalle is proposed. The use of this new Lyapunov function leads to a large attraction domain estimation, enabling theoretical analyses of the system stability considering the inner loop response. …”
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  7. 3707

    Rupnik Line Defence System and Flood Safety by Janez P. Grom, Alenka Fikfak, Matija Zorn, Kristijan Lavtižar

    Published 2024-12-01
    “…Understanding the defence strategy followed by the Kingdom of Yugoslavia in the construction of the defence system along the Rapallo border, one can assume that this dual function was planned.…”
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  8. 3708

    p-Stability and p-Stabilizability of Stochastic Nonlinear and Bilinear Hybrid Systems under Stabilizing Switching Rules by Ewelina Seroka, Lesław Socha

    Published 2013-01-01
    “…Sufficient conditions for the pth mean exponential stability and stabilizability under a feedback control and stabilizing switching rules are derived. A method for the construction of stabilizing switching rules based on the Lyapunov technique and the knowledge of regions of decreasing the Lyapunov functions for subsystems is given. …”
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  9. 3709

    SIFAT-SIFAT DASAR INTEGRAL HENSTOCK by Lexy J. Sinay

    Published 2012-12-01
    “…Independently, Henstock and Kurzweil replaces ï¤- positive constant on construction Riemann integral into a positive function, ie ï¤(x)>0 for every x[a, b]. …”
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  10. 3710
  11. 3711
  12. 3712

    Study on Mechanical Properties and Nonlinear Strength Model of Deep Water-Sensitive Rock in Xianglu Mountain Tunnel by Mingyang Ren, Xuyang Wu, Longyun Zhang, Junkui Pan, Ningjing Li

    Published 2022-01-01
    “…The complex mechanical properties of deep water-sensitive rocks during construction bring great challenges to the construction and stability analysis of underground engineering in water-sensitive strata. …”
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    Article
  13. 3713

    Uncertainty-Based Model Averaging for Prediction of Corrosion Ratio of Reinforcement Embedded in Concrete by Siqing Zeng, Fulin Yang, Zengwei Guo, Ruiqi Guo, Guowen Yao

    Published 2025-06-01
    “…This study employed a Bayesian-enhanced probabilistic model to predict corrosion reinforcement using HCP, addressing both known and unknown uncertainties. Constructed as a piecewise function, the model integrates insights from the literature with the results of an accelerated corrosion experiment conducted by the research team, thereby validating the effectiveness of the probabilistic approach. …”
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  14. 3714
  15. 3715
  16. 3716
  17. 3717

    Evaluation of a coastal acoustic buoy for cetacean detections, bearing accuracy and exclusion zone monitoring by Kaitlin J. Palmer, Sam Tabbutt, Douglas Gillespie, Jesse Turner, Paul King, Dominic Tollit, Jessica Thompson, Jason Wood

    Published 2022-11-01
    “…Abstract There is strong socio‐political support for offshore wind development in US territorial waters and construction is planned off several east coast states. …”
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  18. 3718

    Enhancing Urban Space Optimization and Governance through Artificial Intelligence: Insights from Megacities by Tengyun Hu, Tuo Chen, Guojiang Yu, Meng Zhang, Yan Ding, Han Liu, Yu Wang

    Published 2025-01-01
    “…Dynamic monitoring and functional optimization of construction space have emerged as crucial areas of research for interdisciplinary studies on urban inventory and reduction planning. …”
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  19. 3719

    A Rapid Response Neural Network for Gear Box Diagnosis by 孟建, 蔡扬林, 屈梁生

    Published 1995-01-01
    “…In this paper, an intelligent diagnostic system for gear box is developed, which is called, rapid response neural network. Its construction and fundamental function are discussed and a example is used to verify its effectiveness and practicability.…”
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  20. 3720

    Deep reinforcement learning based online lifting path planning for tower cranes in unknown dynamic environments by Kai Wang, Jing Li, Zhiyuan Yin, Jiankang Zhang, Xin Ma

    Published 2024-09-01
    “…Lifting path planning is critical for the safety and efficiency of tower cranes operating in dynamic construction environments. This paper proposes a lifting path planner to efficiently generate safe and smooth lifting paths for tower cranes in an unknown construction environment through a deep reinforcement learning (DRL) method. …”
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