Showing 381 - 400 results of 5,531 for search '"fasting"', query time: 0.06s Refine Results
  1. 381

    A Universal Break in Energy Functions of Three Hyperactive Repeating Fast Radio Bursts by Q. Wu, F. Y. Wang, Z. Y. Zhao, P. Wang, H. Xu, Y. K. Zhang, D. J. Zhou, J. R. Niu, W. Y. Wang, S. X. Yi, Z. Q. Hua, S. B. Zhang, J. L. Han, W. W. Zhu, K. J. Lee, D. Li, X. F. Wu, Z. G. Dai, B. Zhang

    Published 2025-01-01
    “…Fast radio bursts (FRBs) are millisecond-duration pulses occurring at cosmological distances with a mysterious origin. …”
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    Article
  2. 382

    Bulge Oscillation Driven by Outflows of Active Galactic Nuclei. I. Fast Outflow Case by Yue-Chang Peng, Jian-Min Wang, Yu Zhao, Luis C. Ho

    Published 2025-01-01
    “…In this paper, we investigate the issues of nonrotating, spherically symmetric bulges under the perturbation of fast, massive outflows with stars formed inside. …”
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  3. 383

    Exercising in the Fasted State Reduced 24-Hour Energy Intake in Active Male Adults by Jessica L. Bachman, Ronald W. Deitrick, Angela R. Hillman

    Published 2016-01-01
    “…The effect of fasting prior to morning exercise on 24-hour energy intake was examined using a randomized, counterbalanced design. …”
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  4. 384

    New anchovy burgers: a sustainable and nutritious alternative to red meat in fast food by Giovanni Luca Russo, Antonio L. Langellotti, Rossella Di Monaco, Gabriele Buonocunto, Francesca Colonna, Nunzio Velleca, Anna Ilaria Di Paola, Lucia Avella, Silvana Cavella, Paolo Masi

    Published 2025-02-01
    “…This research contributes to the fast-food industry by offering a product that meets sensory and nutritional requirements while also promoting sustainability. …”
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  5. 385
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    Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost by Hongzhi Zhou, Gan Yu

    Published 2021-01-01
    “…In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. Aiming at the problem that a single high-level output feature map has insufficient ability to express pedestrian features and existing methods cannot effectively select appropriate multilevel features, this paper improves the traditional AdaBoost algorithm structure, that is, the sample weight update formula and the strong classifier output formula are reset, and the two-input AdaBoost-DBN classification algorithm is proposed. …”
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  7. 387

    An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs by Rong Hu, Xing Wu, Bin Qian, Jian L. Mao, Huai P. Jin

    Published 2020-01-01
    “…This paper proposes an enhanced differential evolution algorithm with several fast evaluating strategies, namely, DE_FES, to minimize the total weighted tardiness objective (TWT) for the NFSP with SSTs and RTs. …”
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  8. 388

    Separation of the Structure Signal by the Maximal Overlap Discrete Wavelet Transform and Fast Fourier Transform by Thanh Q. Nguyen

    Published 2021-01-01
    “…This paper proposes a method for separating the synthetic vibration signal into a structure’s discrete vibration and other extraneous vibrations using the maximal overlap discrete wavelet transform (MODWT) method combined with the method of fast Fourier transform (FFT). With the combination of these two algorithms, MODWT and FFT, the signals of the synthesized vibration have been separated into component signals with different frequency ranges. …”
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  9. 389

    Cross-sectional Study of EMG and EMG Rise During Fast and Slow Hamstring Exercises by Kasper Krommes, Markus Due Jakobsen, Thomas Bandholm, Lars Louis Andersen, Mette Zebis, Anthony Shield, Per Hölmich, Kristian Thorborg

    Published 2021-08-01
    “… # Clinical Relevance The surprisingly fast and explosive recruitment characteristics during the Nordic Hamstring exercise suggests the possibility that this exercise have the potential to improve the rate of force development and perhaps counter the effects of hamstring-related inhibition and fatigue.…”
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  10. 390
  11. 391

    FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis by Lin Yuan, Chang-An Yuan, De-Shuang Huang

    Published 2017-01-01
    “…In this paper, we present a unified fast framework integrating adaptive ant colony optimization algorithm with multiobjective functions for detecting SNP epistasis in GWAS datasets. …”
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  12. 392
  13. 393

    Fast Object Detection and Localization in Ultrawide Swath Rotating Scan Remote Sensing Images by Zhiming Deng, Tianyu Zhang, Cheng Wei, Xibin Cao

    Published 2025-01-01
    “…However, unlike traditional remote sensing images, the inherent characteristics of rotating scan remote sensing images make fast object detection and localization a more challenging task because of the ultrawide swath results in extremely high image resolution; changes in the rotation angle cause variations in resolution; the large variation in object size; and side-looking imaging introduces greater geometric distortions. …”
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    Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling by Younghyun Koo, Maryam Rahnemoonfar

    Published 2025-01-01
    “…Compared to the fixed-resolution approach of the FCN, the flexible-resolution structure of the GCN accurately captures detailed ice dynamics in fast-ice regions. By leveraging 60–100 times faster computational time of the GPU-based GCN emulator, we efficiently examine the impacts of basal melting rates on the ice sheet dynamics in the PIG.…”
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  18. 398

    Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses by Corey K. Potvin, Louis J. Wicker

    Published 2013-01-01
    “…Fortunately, thermodynamic retrieval techniques traditionally applied to dual-Doppler wind analyses can be adapted to diagnose the balanced portion of an EnKF pressure analysis, thereby eliminating the fast-mode pressure oscillations. The efficacy of this approach is demonstrated using a high-resolution supercell thunderstorm simulation as well as EnKF analyses of a simulated and a real supercell.…”
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