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Showing 19,221 - 19,240 results of 79,123 for search '(( 10 ((we decrease) OR (nn decrease)) ) OR ( 50 ((a decrease) OR (mean decrease)) ))', query time: 0.86s Refine Results
  1. 19221
    Image_8_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_8_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  2. 19222
    Table_3_Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.XLSX

    Table_3_Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.XLSX by Iñigo Saiz-Fernández (9570674)

    Published 2022
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  3. 19223
    Data_Sheet_1_Microplastic Shape, Polymer Type, and Concentration Affect Soil Properties and Plant Biomass.docx

    Data_Sheet_1_Microplastic Shape, Polymer Type, and Concentration Affect Soil Properties and Plant Biomass.docx by Yudi M. Lozano (8771435)

    Published 2021
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  4. 19224
    Image_4_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_4_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  5. 19225
    Data_Sheet_1_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.PDF

    Data_Sheet_1_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.PDF by Rotem Zelingher (10909332)

    Published 2021
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  6. 19226
    Supplementary Material for: Forecasting the Worldwide Impact of Stroke for individuals aged 45 and above

    Supplementary Material for: Forecasting the Worldwide Impact of Stroke for individuals aged 45 and above by Fan W. (11417327)

    Published 2024
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  7. 19227
    Image_6_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_6_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  8. 19228
    Table_2_Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.XLSX

    Table_2_Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.XLSX by Iñigo Saiz-Fernández (9570674)

    Published 2022
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  9. 19229
    Image_5_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_5_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  10. 19230
    Image_12_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_12_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  11. 19231
    Image_8_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_8_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  12. 19232
    Image_2_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_2_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  13. 19233
    Table_4_Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.XLSX

    Table_4_Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.XLSX by Iñigo Saiz-Fernández (9570674)

    Published 2022
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  14. 19234
    Image_7_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_7_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  15. 19235
    Supplemental Figs. S1-S7

    Supplemental Figs. S1-S7 by Carolyn Morris (21298187)

    Published 2025
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  16. 19236
    Image_1_Ethylene-Inducible AP2/ERF Transcription Factor Involved in the Capsaicinoid Biosynthesis in Capsicum.JPEG

    Image_1_Ethylene-Inducible AP2/ERF Transcription Factor Involved in the Capsaicinoid Biosynthesis in Capsicum.JPEG by Jinfen Wen (12187469)

    Published 2022
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  17. 19237
    Image_9_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_9_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  18. 19238
    Image_3_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_3_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  19. 19239
    Image_4_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif

    Image_4_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
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  20. 19240
    Coordination-Induced Weakening of a C(sp<sup>3</sup>)–H Bond: Homolytic and Heterolytic Bond Strength of a CH–Ni Agostic Interaction

    Coordination-Induced Weakening of a C(sp<sup>3</sup>)–H Bond: Homolytic and Heterolytic Bond Strength of a CH–Ni Agostic Interaction by Lirong Lin (10158818)

    Published 2022
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