Showing 201 - 220 results of 65,071 for search '(( 5 step decrease ) OR ((( 5 ((we decrease) OR (nn decrease)) ) OR ( 5 a decrease ))))', query time: 1.05s Refine Results
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    Table_1_v2_A long waiting time from diagnosis to treatment decreases the survival of non-small cell lung cancer patients with stage IA1: A retrospective study.docx by Bin Liu (5899)

    Published 2022
    “…After adjusting for other confounders, the waiting time was identified as an independent prognostic factor.</p>Conclusions<p>A long waiting time before treatment may decrease the survival of stage IA1 NSCLC patients. …”
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    Image4_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
  8. 208

    Image2_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
  9. 209

    Image6_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
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    Image1_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
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    Image3_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
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    Image7_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
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    Table1_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.xlsx by Mohammad Arif Rahman (8267352)

    Published 2024
    “…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”
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    Training steps of the improved YOLOv4-Tiny. by Fuxing He (19555871)

    Published 2024
    “…Meanwhile, the improved model achieves a processing efficiency of 85 frames/s. In addition, compared with the traditional trajectory prediction model, the constructed model performs the best in table tennis ball trajectory prediction, with errors of 4.5 mm, 25.3 mm, and 35.58 mm. …”
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