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  1. 2781

    Stability Analysis of Impulsive Stochastic Reaction-Diffusion Cellular Neural Network with Distributed Delay via Fixed Point Theory by Ruofeng Rao, Shouming Zhong

    Published 2017-01-01
    “…This paper investigates the stochastically exponential stability of reaction-diffusion impulsive stochastic cellular neural networks (CNN). The reaction-diffusion pulse stochastic system model characterizes the complexity of practical engineering and brings about mathematical difficulties, too. …”
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  2. 2782
  3. 2783

    A comprehensive analysis of three-dimensional normal grain growth of pure iron via multi-phase field simulation by Mao H., Li B., Du Y.

    Published 2021-01-01
    “…The multi-phase field simulation can be used to analyze the dynamic evolution of the topological relationship of grains and reveal the general law of normal grain growth quantitatively.…”
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  4. 2784

    Different n-6/n-3 polyunsaturated fatty acid ratios affect postprandial metabolism in normal and hypertriglyceridemic rats by Ligang Yang, Chao Yang, Zhixiu Song, Min Wan, Hui Xia, Xian Yang, Dengfeng Xu, Da Pan, Hechun Liu, Shaokang Wang, Guiju Sun

    Published 2023-07-01
    “…This study aimed to investigate the effects of high fat meals with different n-6/n-3 PUFA ratios on postprandial metabolism in normal control (NC) and hypertriglyceridemia (HTG) rats. …”
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  5. 2785

    Modeling and Optimization of the BSCF-Based Single-Chamber Solid Oxide Fuel Cell by Artificial Neural Network and Genetic Algorithm by Minh-Vien Le, Tuan-Anh Nguyen, T.-Anh-Nga Nguyen

    Published 2019-01-01
    “…The empirical regression models, such as artificial neural networks (ANNs), can be used as a black-box tool to simulate systems without solving the complicated physical equations merely by utilizing available experimental data. …”
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  6. 2786
  7. 2787

    Spinal CRH facilitates the micturition reflex via the CRH2 receptor in rats with normal bladder and bladder outlet obstruction by Risa Shinoki, Ryosuke Jikuya, Takuma Nirei, Takeshi Fukazawa, Hiroki Takizawa, Mari Hioki, Sachi Kawaura, Tomoyuki Tatenuma, Go Noguchi, Daiki Ueno, Yusuke Ito, Mitsuru Komeya, Kentaro Muraoka, Hisashi Hasumi, Kazuki Kobayashi, Masahito Takiguchi, Kengo Funakoshi, Kazuhide Makiyama, Naoki Aizawa, Hiroki Ito

    Published 2025-01-01
    “…Corticotropin-releasing hormone (CRH) is a neuropeptide that controls normal micturition in rodents. Herein, we investigated the role of spinal CRH in regulating micturition in sham and BOO rats, and evaluated CRH as a therapeutic target for bladder dysfunction in BOO model Sprague–Dawley rats. …”
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  8. 2788
  9. 2789
  10. 2790

    Comparative analysis of neural network models performance on low-power devices for a real-time object detection task by A. Zagitov, E. Chebotareva, A. Toschev, E. Magid

    Published 2024-04-01
    “…The paper presents results of benchmarks on popular deep neural network models, which are often used for this task. …”
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  12. 2792
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  15. 2795

    Breakfast Protein Source Does Not Influence Postprandial Appetite Response and Food Intake in Normal Weight and Overweight Young Women by Christina M. Crowder, Brianna L. Neumann, Jamie I. Baum

    Published 2016-01-01
    “…Our objective was to determine if protein source (animal protein (AP) versus plant protein (PP)) influences postprandial metabolic response in participants consuming a high protein breakfast (~30% energy from protein). Normal weight (NW; n=12) and overweight women (OW; n=8) aging 18–36 were recruited to participate. …”
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  16. 2796

    Rapid Focused Spot Scanning Imaging Using Multimode Fiber with a Convolutional Neural Network-Based Phase Modulation by Rongjing Tong, Anni Xu, Hua Shen

    Published 2025-01-01
    “…In this paper, we present a rapid beam-focusing method for multimode fiber (MMF) that integrates a Convolutional Neural Network (CNN) with a Spatial Light Modulator (SLM). …”
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  17. 2797
  18. 2798

    Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

    Published 2025-02-01
    “…To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with an Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. Using RSTL to differentiate between time series data into development, seasonal in nature, and residual factors, this methodology addresses SI’s unpredictable nature and intermittent operation and provides the basis for accurate predictions. …”
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  19. 2799
  20. 2800

    Effects of Ginsenoside Rg1 Regulating Wnt/β-Catenin Signaling on Neural Stem Cells to Delay Brain Senescence by Yue Xiang, Shun-he Wang, Lu Wang, Zi-ling Wang, Hui Yao, Lin-bo Chen, Ya-ping Wang

    Published 2019-01-01
    “…This is a study on the relationship between the protective effect of ginsenoside Rg1 on senescent neural stem cells and Wnt-β/catenin signaling pathway. …”
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