Showing 161 - 180 results of 58,958 for search '(((( ct largest decrease ) OR ( c levels increased ))) OR ( ((a large) OR (i large)) decrease ))', query time: 1.83s Refine Results
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    <b>Human disturbance alters the foraging and spatiotemporal activity of a large carnivore</b> by Gonzalo Barceló (10117075)

    Published 2025
    “…Responses to human disturbance were generally consistent across sites, with pumas adjusting their temporal, spatial, and foraging axes to decrease encounters with humans. Our results suggest that human-disturbed landscapes across regions alter the primary niche axes of pumas to construct a new realized niche in human landscapes, which may have important consequences for their ecological interactions and the functional role of this large carnivore.…”
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    (a) Cement; (b) SHMP; (c) Water glass; (d) PG. by Chenhao Li (822769)

    Published 2025
    “…<div><p>To solve the disposal of large quantities of construction waste clay, this study proposes a new method for preparing controlled low strength materials (CLSM). …”
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    Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx by Bailey A. Loving (20573882)

    Published 2025
    “…</p>Methods<p>This retrospective study analyzed data from radiation oncology patients at a large multi-site single-institution center from May 2021 to January 2024. …”
  18. 178

    Table_1_Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma.xls by Chengliang Yin (7545749)

    Published 2020
    “…The results especially showed that MMP14 was a prognostic biomarker and related to the macrophages M0.…”
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    Image_1_Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma.TIF by Chengliang Yin (7545749)

    Published 2020
    “…The results especially showed that MMP14 was a prognostic biomarker and related to the macrophages M0.…”
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    Table_1_Content-Aware Segmentation of Objects Spanning a Large Size Range: Application to Plankton Images.docx by Thelma Panaïotis (12812969)

    Published 2022
    “…We compared three segmentation methods, particularly for smaller targets, in which plankton represents less than 1% of the objects: (i) a traditional thresholding over the background, (ii) an object detector based on maximally stable extremal regions (MSER), and (iii) a content-aware object detector, based on a Convolutional Neural Network (CNN). …”