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  1. 7481

    Investigation of the new optical soliton solutions to the (2+1)-dimensional calogero-bogoyavlenskii schiff model by Sajawal Abbas Baloch, Muhammad Abbas, Muhammad Kashif Iqbal, Asnake Birhanu, M. R. Alharthi

    Published 2024-12-01
    “…The proposed model plays a crucial role in elucidating the internal structure of tangible composite phenomena in several fields such as nonlinear optics, wave behaviors in deep seas, plasma physics, and two-dimensional discrete electrical lattices. …”
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    Article
  2. 7482

    Dynamic Analysis of a Vehicle–Bridge System Under Excitation of Random Road Irregularities by Yue Zhang, Jiali Duan, Yongdou Liu, Zhidong Chen, Yangui Su, Shanyong Liu

    Published 2024-10-01
    “…This element facilitates precise computation of the dynamic responses within the vehicle–bridge coupled system, including both vehicle and bridge behaviors, along with the interaction forces between the wheels and the bridge surface. …”
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  3. 7483

    Approach and Development of Effective Models for Simulation of Thermal Stratification and Mixing Induced by Steam Injection into a Large Pool of Water by Hua Li, Walter Villanueva, Pavel Kudinov

    Published 2014-01-01
    “…These models are computationally efficient since small scale behaviors are not resolved but their integral effect on the large scale flow structure in the pool is taken into account.…”
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  4. 7484

    A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging by Pablo Vergara, Yuteng Wang, Sakthivel Srinivasan, Zhe Dong, Yu Feng, Iyo Koyanagi, Deependra Kumar, Yoan Chérasse, Toshie Naoi, Yuki Sugaya, Takeshi Sakurai, Masanobu Kano, Tristan Shuman, Denise Cai, Masashi Yanagisawa, Masanori Sakaguchi

    Published 2025-04-01
    “…CaliAli performs computationally efficient signal extraction from concatenated video sessions that enhances the detectability of weak calcium signals. …”
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  5. 7485
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  10. 7490
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  15. 7495

    One-Dimensional Deep Residual Network with Aggregated Transformations for Internet of Things (IoT)-Enabled Human Activity Recognition in an Uncontrolled Environment by Sakorn Mekruksavanich, Anuchit Jitpattanakul

    Published 2024-11-01
    “…Nonetheless, limitations such as fluctuating environmental conditions and intricate behavioral patterns have impacted the accuracy of the current procedures. …”
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  16. 7496

    Are left- and right-eye pupil sizes always equal? by Gonca Gokce Menekse Dalveren, Nergiz Ercil Cagiltay

    Published 2019-07-01
    “…Eye movements provide very critical information about the cognitive load and behaviors of human beings. Earlier studies report that under normal conditions, the left- and right-eye pupil sizes are equal. …”
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  17. 7497

    Effects of appearance modifications on oral presentation anxiety in video conferencing by Ziting Gong, Hideaki Kanai

    Published 2025-08-01
    “…By shedding light on the role of audience appearance in video conference anxiety, this study offers valuable insights and practical strategies for designing customized computer-mediated communication environments that enhance speaker comfort and confidence.…”
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    Article
  18. 7498

    Agent-based modeling of spreading infectious diseases: state-of-the-art by N. V. Saperkin

    Published 2024-09-01
    “…Agent-based modeling is considered as a computational approach in which agents with predefined characteristics can interact with each other and with the environment according to pre-specified rules. …”
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  19. 7499

    Evaluating the Performance of Connected and Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning by Shaojie Liu, Wei David Fan

    Published 2022-01-01
    “…The Intelligent Driver Model (IDM) is selected and applied to model the CAV behaviors, while Wiedemann 99 (W99) is used to model Human-Driven Vehicles (HDVs). …”
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  20. 7500

    Predicting time-to-first cancer diagnosis across multiple cancer types by Kien Lau, Gregory R. Hart, Jun Deng

    Published 2025-07-01
    “…Our findings offer interpretable, accurate tools for personalized cancer risk assessment, improving early detection and bridging computational advances with clinical practice.…”
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    Article