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  • Article
    Nagoshi RN, Fleischer S, Meagher RL, Hay-Roe M, Khan A, Murúa MG, Silvie P, Vergara C, Westbrook J.
    PLoS One. 2017;12(3):e0175076.
    [This corrects the article DOI: 10.1371/journal.pone.0171743.].
    Digital Access Access Options
  • Article
    Zhou X, Liu Y, Sun J, Li B, Xiao G.
    Sci Total Environ. 2024 Nov 01;949:175076.
    This study explored the feasibility of employing hyperspectral imaging (HSI) technology to quantitatively assess the effect of silicon (Si) on lead (Pb) content in oilseed rape leaves. Aiming at the defects of hyperspectral data with high dimension and redundant information, this paper proposed two improved feature wavelength extraction algorithms, repetitive interval combination optimization (RICO) and interval combination optimization (ICO) combined with stepwise regression (ICO-SR). The entire oilseed rape leaves were taken as the region of interest (ROI) to extract the visible near-infrared hyperspectral data within the 400.89-1002.19 nm range. In data processing, Savitzky-Golay (SG) smoothing, detrending (DT), and multiple scatter correction (MSC) were utilized for spectral data preprocessing, while recursive feature elimination (RFE), iteratively variable subset optimization (IVSO), ICO, and the two enhanced algorithms were employed to identify characteristic wavelengths. Subsequently, based on the spectral data of preprocessing and feature extraction, partial least squares regression (PLSR) and support vector regression (SVR) methods were used to construct various Pb content prediction models in oilseed rape leaves, with a comparison and analysis of each model performance. The results indicated that the two improved algorithms were more efficient in extracting representative spectral information than conventional methods, and the performance of SVR models was better than PLSR models. Finally, to further improve the prediction accuracy and robustness of the SVR models, the whale optimization algorithm (WOA) was introduced to optimize their parameters. The findings demonstrated that the MSC-RICO-WOA-SVR model achieved the best comprehensive performance, with Rp2 of 0.9436, RMSEP of 0.0501 mg/kg, and RPD of 3.4651. The results further confirmed the great potential of HSI combined with feature extraction algorithms to evaluate the effectiveness of Si in alleviating Pb stress in oilseed rape and provided a theoretical basis for determining the appropriate amount of Si application to alleviate Pb pollution in oilseed rape.
    Digital Access Access Options
  • Book
    [edited by] Heather Thompson-Brenner, Melanie Smith, Gayle Brooks, Dee Ross Franklin, Hallie Espel-Huynh, James F. Boswell.
    Summary: "The goal of this workbook is to change the way clients respond to their emotions when they occur. They will be asked to approach their emotions in a more accepting manner instead of viewing them as something to avoid. Leaning in toward our emotions and responding more effectively to them may be difficult at first, but it will gradually make our emotions more manageable. This introductory chapter describes the types of problems this treatment program (Renfrew Unified Treatment for Eating Disorders and Co-occurring Emotional Disorders) was designed to address. The chapter also explains how eating disorders and other emotional disorders occur together"-- Provided by publisher.
    Digital Access Oxford [2021]
doi:10.1371/journal.pone.0175076 doi:10.1016/j.scitotenv.2024.175076