Showing 6,321 - 6,340 results of 18,480 for search 'significantly ((((((a decrease) OR (linear decrease))) OR (mean decrease))) OR (greatest decrease))', query time: 0.77s Refine Results
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  2. 6322

    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. …”
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  5. 6325

    Summary of study participants. by Jesús Poch-Páez (21807825)

    Published 2025
    “…A total of 650 individuals (including 89 children under 18 years of age) were evaluated using a combined serological testing strategy to confirm past SARS-CoV-2 infection. …”
  6. 6326

    Participants’ characteristics. by Jesús Poch-Páez (21807825)

    Published 2025
    “…A total of 650 individuals (including 89 children under 18 years of age) were evaluated using a combined serological testing strategy to confirm past SARS-CoV-2 infection. …”
  7. 6327

    Sources of infection. by Jesús Poch-Páez (21807825)

    Published 2025
    “…A total of 650 individuals (including 89 children under 18 years of age) were evaluated using a combined serological testing strategy to confirm past SARS-CoV-2 infection. …”
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  10. 6330

    Resistant Starch Nanoparticles Induce Colitis through Lysosomal Exocytosis in Mice by Chenglu Peng (19935965)

    Published 2024
    “…This, in turn, triggered the TFEB signaling pathway and thus upregulated the lysosomal exocytosis level, leading to lysosomal enzymes to be released to the intestinal lumen. As a result, a decreased number of intestinal goblet cells, diminished tight junction protein expression, and imbalanced intestinal flora in mice were observed. …”
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    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. …”
  13. 6333

    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. …”
  14. 6334

    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. …”
  15. 6335

    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. …”
  16. 6336

    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. …”
  17. 6337

    Instrumental variable 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. …”
  18. 6338

    Other robust 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. …”
  19. 6339

    Baseline 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. …”
  20. 6340

    Results of propensity score matching. 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. …”