Showing 721 - 740 results of 2,992 for search '(( sources selection functions\ ) OR (( resource OR source) detection function\ ))', query time: 0.35s Refine Results
  1. 721

    Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

    Published 2025-04-01
    “…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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  2. 722

    Looking at the Distant Universe with the MeerKAT Array: The H i Mass Function in the Local Universe by Amir Kazemi-Moridani, Andrew J. Baker, Marc Verheijen, Eric Gawiser, Sarah-Louise Blyth, Danail Obreschkow, Laurent Chemin, Jordan D. Collier, Kyle W. Cook, Jacinta Delhaize, Ed Elson, Bradley S. Frank, Marcin Glowacki, Kelley M. Hess, Benne W. Holwerda, Zackary L. Hutchens, Matt J. Jarvis, Melanie Kaasinen, Sphesihle Makhathini, Abhisek Mohapatra, Hengxing Pan, Anja C. Schröder, Leyya Stockenstroom, Mattia Vaccari, Tobias Westmeier, John F. Wu, Martin Zwaan

    Published 2025-01-01
    “…This new method tracks the recovery of sources in mass bins different from those in which they were injected and incorporates a Poisson likelihood in the forward modeling process, allowing it to correctly handle uncertainties in bins with few or no detections. …”
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  3. 723

    How mindfulness-based training improves stress-related health: a selective review of randomized clinical trials comparing psychological mechanisms of action by Lara M. C. Puhlmann, Lara M. C. Puhlmann, Lara M. C. Puhlmann, Veronika Engert, Veronika Engert, Veronika Engert

    Published 2025-08-01
    “…Addressing this shortcoming, the present selective review provides an overview of randomized controlled trials (RCTs) that directly contrast the effects of distinct components of mindfulness on stress-related health. …”
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  4. 724

    Fatty Acid Profile in Field-Collected Seaweed, Lipid Extraction Optimization, and Food Functional Properties by Nabeel Gnayem, Razan Unis, Rima Gnaim, Álvaro Israel, Jallal Gnaim, Alexander Golberg

    Published 2025-04-01
    “…Additionally, lipid extraction was optimized using food-grade solvents, reaction temperatures, and the functional properties of selected green and brown seaweeds. …”
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  7. 727

    An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions by Diako Mardanbegi, Andrew T. N. Kurauchi, Carlos H. Morimoto

    Published 2018-06-01
    “…In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. Using simulated scenarios, we describe effects of four different sources of error: interpolation, extrapolation, parallax, and radial distortion. …”
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  8. 728

    LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. by Pingping Yan, Xiangming Qi, Liang Jiang

    Published 2025-01-01
    “…In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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  9. 729

    A specifically designed multi-biotic reduces uremic toxin generation and improves kidney function by Alice Beau, Jane Natividad, Berengère Benoit, Philippe Delerive, Stéphane Duboux, Yuan Feng, Marie Jammes, Cecile Barnel, Giuseppina Sequino, Claudie Pinteur, Griet Glorieux, Denis Fouque, Hubert Vidal, Laetitia Koppe

    Published 2025-12-01
    “…Through in silico data mining, we selected a probiotic strain lacking the capacity to produce UT, i.e. without genes for tryptophanase, tyrosinase and urease. …”
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  10. 730
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  12. 732

    The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

    Published 2025-04-01
    “…BackgroundWhile numerous previous studies have indicated that nicotine intake results in gray matter and functional brain abnormalities in tobacco use disorder (TUD), the majority of results could not be replicated or even reversed. …”
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  13. 733
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  15. 735

    System Eliminating Emergency Discharges in Industrial Facilities Waste Waters Using Relative Signal Description by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

    Published 2022-07-01
    “…The relative description on the components of the lattice function of the spectrum of emergency discharges is used, constructed using the order ratio between the components of the lattice function.The emergency discharge identification can be implemented by comparing the relative description of the emergency discharge spectrum with the reference spectra for the harmful substances that can be present at the given industrial facility, and the standards of the spectra of these substances are presented in the form of a relative description using the ratio “more”–“less”.The authors provide a flow chart for the emergency discharge elimination system, describe its operation and the functions fulfilled by its elements. …”
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  16. 736

    SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

    Published 2025-02-01
    “…To address these issues, this study proposes the Supervised Dynamic Kernel U-Net (SDKU-Net), a novel architecture designed to enhance shadow detection in complex remote sensing scenarios. SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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  17. 737

    Bearing-Only Multi-Target Localization Incorporating Waveguide Characteristics for Low Detection Rate Scenarios in Shallow Water by Xiaohan Mei, Bo Zhang, Duo Zhai, Zhaohui Peng

    Published 2024-12-01
    “…A <i>β</i>-S-dimensional assignment (<i>β</i>-SDA) method incorporating waveguide characteristics is proposed to address the BOMTL problem in shallow water with low detection rates. The estimated distance for the warping transformation is derived from the intersection points of the bearing lines, then the autocorrelation function of the broadband beamforming output is transformed using a warping operator to obtain the corresponding characteristic spectrum. …”
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  18. 738

    Health literacy in relation to web-based measurement of cognitive function in the home: UK Women’s Cohort Study by Alan J Gow, Janet Cade, Darren C Greenwood, Gareth Hagger-Johnson, Stian Reimers

    Published 2025-03-01
    “…Objective Older adults may require additional support to comprehend written information due to inadequate health literacy, which involves components of cognitive function including reaction time. This study tested the acceptability of web-based reaction time testing in the UK Women’s Cohort Study and possible sources of bias. …”
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  19. 739

    Unlocking microbiota potential: the role of organic copper in enhancing healthy white shrimp (Penaeus vannamei) farming by Jinzhu Yang, Xiaoyang Yao, Zhonghao Zhang, Gang Lin, Mingzhu Li, Kangsen Mai, Yanjiao Zhang

    Published 2025-08-01
    “…Furthermore, host-selective pressure shaped the unique microbiota composition in the intestine and gill, which differed from the surrounding water and water source, with the gill microbiota potentially serving as a transitional bridge shaping the intestinal microbiota. …”
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  20. 740

    Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI) by Dawid Maciejewski, Krzysztof Mudryk, Maciej Sporysz

    Published 2024-12-01
    “…This article devises the Artificial Intelligence (AI) methods of designing models of short-term forecasting (in 12 h and 24 h horizons) of electricity production in a selected Small Hydropower Plant (SHP). Renewable Energy Sources (RESs) are difficult to predict due to weather variability. …”
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