Showing 9,841 - 9,860 results of 17,811 for search '(( a ((teer decrease) OR (linear decrease)) ) OR ( a ((largest decrease) OR (larger decrease)) ))', query time: 0.76s Refine Results
  1. 9841

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  2. 9842

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  3. 9843

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  4. 9844

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  5. 9845

    Image_14_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  6. 9846

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  7. 9847

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  8. 9848

    Image_11_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  9. 9849

    Image_14_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  10. 9850

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  11. 9851

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  12. 9852

    Image_13_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  13. 9853

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  14. 9854

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  15. 9855

    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
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  16. 9856

    Image_15_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

    Published 2021
    “…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”
  17. 9857

    Data Sheet 1_Age and growth of Todaropsis eblanae (Ommastrephidae) through comparison of statoliths, beaks and eye lenses.docx by Blondine Agus (10990749)

    Published 2025
    “…According to a semelparous cycle, the estimated ages for the largest mature female (310-316 days) and male (288-292 days) suggest a lifespan of less than one year. …”
  18. 9858

    Retrotransposon expression in <i>Pld6</i> KO and <i>Dnmt3l</i> KO spermatocytes. by Kota Inoue (4282273)

    Published 2017
    “…<p>(A) Expression of individual retrotransposons in <i>Pld6</i> KO and WT spermatocytes. …”
  19. 9859

    Flow chart of participant follow-up. by Hanne Van Uytsel (16705762)

    Published 2023
    “…Women with normal/overweight pre-pregnancy BMI, reported a decrease in EPDS between baseline and end of intervention, and the decrease was larger in the intervention arm (control arm: -0.42 (95% CI, -0.76 to -0.08); intervention arm: -0.71 (95% CI, -1.07 to -0.35)). …”
  20. 9860

    Table_1_Discriminating the non-coordination between ecosystem service value and economic development and its spatial characteristics in central Yunnan urban agglomeration in the re... by Anlin Li (14339409)

    Published 2024
    “…The research results show that: (1) The main land-use types include cultivated land, forest land, and grassland, which account for more than 90% of the total proportion. The land types with a small proportion in the region are water areas, construction land, and unused land. (2) The development level of ecosystem service value presents four types of changes: fluctuating increase, fluctuating decrease, continuous increase, and continuous decrease. …”