Showing 5,901 - 5,920 results of 18,291 for search 'significantly ((((teer decrease) OR (((nn decrease) OR (a decrease))))) OR (observed decrease))', query time: 0.78s Refine Results
  1. 5901

    Flowsheet of the experimental process. by Nian Liu (29935)

    Published 2025
    “…Additionally, the smelting process produces a significant amount of brown corundum fly dust (BCFD) with a low utilization rate, resulting in resource wastage. …”
  2. 5902

    Desilication concentrate XRD. by Nian Liu (29935)

    Published 2025
    “…Additionally, the smelting process produces a significant amount of brown corundum fly dust (BCFD) with a low utilization rate, resulting in resource wastage. …”
  3. 5903

    Bauxite and brown corundum fly dust XRD pattern. by Nian Liu (29935)

    Published 2025
    “…Additionally, the smelting process produces a significant amount of brown corundum fly dust (BCFD) with a low utilization rate, resulting in resource wastage. …”
  4. 5904
  5. 5905

    ANOM analysis of evaluated criteria K1–K5. by Roman Vavrek (13200141)

    Published 2024
    “…The presented research works with five criteria, identified by the Institute for Economic and Social Reforms, and aims to quantify the agreement of the results of the assessment of the financial health of territorial self-government entities in 2020 using the TOPSIS technique with a gradually decreasing number of criteria. For this purpose, a total of 26 combinations of criteria are created, with the number of 5, 4, 3 and 2 used criteria, the importance of which is determined based on their absolute variability using the standard deviation method. …”
  6. 5906
  7. 5907
  8. 5908
  9. 5909

    Adult <i>Shroom3</i><sup><i>+</i></sup><sup><i>/Gt</i></sup> mouse hearts show left ventricular thinning. by Jennifer L. Carleton (22208916)

    Published 2025
    “…C) Quantification of the thickness of the compact layers of 3-month-old hearts showed a significant decrease in left ventricle wall thickness in the heterozygous mice (P < 0.0001) when compared to the wild-type. …”
  10. 5910
  11. 5911
  12. 5912
  13. 5913
  14. 5914
  15. 5915
  16. 5916

    Regression results of the Callaway method. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  17. 5917

    Regression results of crowding out effects. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  18. 5918

    Article data. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  19. 5919

    Overidentification test results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  20. 5920

    Quantile regression results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”