Showing 17,481 - 17,500 results of 107,033 for search '(( 50 ((mean decrease) OR (((a decrease) OR (nn decrease)))) ) OR ( a we decrease ))', query time: 1.55s Refine Results
  1. 17481
  2. 17482
  3. 17483

    Mechanical parameters. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  4. 17484

    CSM. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  5. 17485

    Fitting curve between CSSM and angle. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  6. 17486

    Stress-strain curves under different sizes. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  7. 17487

    Fit curve graph. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  8. 17488

    Fit curve graph. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  9. 17489

    Simulation schemes. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  10. 17490

    Calculation model diagram. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  11. 17491

    Characteristic size values. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  12. 17492

    Fitting curve of CSM and rock bridge angle. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  13. 17493

    Parameters c and d. by Junxia Zhou (14381598)

    Published 2024
    “…The research results indicate that: (1) As the rock bridge angle increases, the secant modulus gradually decreases, following a power function relationship. (2) As the rock size increases, the secant modulus shows a trend of first decreasing and then stabilizing, following a power function relationship. (3) As the rock bridge angle increases, the characteristic tangent modulus and characteristic size gradually decrease, following a power function relationship. …”
  14. 17494

    Changing landscape configuration demands ecological planning: Retrospect and prospect for megaherbivores of North Bengal by Tanoy Mukherjee (6577076)

    Published 2019
    “…The present study also involves evaluation of landscape and anthropogenic predictors influence on the megaherbivores of GNP, followed by future landcover simulation for the year 2028. The result shows a significant decrease in the grassland cover from 18.87 km<sup>2</sup> to 8.27 km<sup>2</sup> from 1998 to 2018, whereas the woodland cover has increased from 50.14 km<sup>2</sup> to 62.09 km<sup>2</sup> between 1998 and 2018. …”
  15. 17495

    Accurate Modeling of Water Clusters with Density-Functional Theory Using Atom-Centered Potentials by Jake D. Holmes (4400803)

    Published 2017
    “…However, the ability of the BHandHLYP/ACP approach to predict accurate binding energies deteriorates as the size of the basis sets decreases. Nevertheless, ACPs improve predicted binding energies by as much as a factor of 50 across the range of the basis sets studied. …”
  16. 17496

    Accurate Modeling of Water Clusters with Density-Functional Theory Using Atom-Centered Potentials by Jake D. Holmes (4400803)

    Published 2017
    “…However, the ability of the BHandHLYP/ACP approach to predict accurate binding energies deteriorates as the size of the basis sets decreases. Nevertheless, ACPs improve predicted binding energies by as much as a factor of 50 across the range of the basis sets studied. …”
  17. 17497

    Accurate Modeling of Water Clusters with Density-Functional Theory Using Atom-Centered Potentials by Jake D. Holmes (4400803)

    Published 2017
    “…However, the ability of the BHandHLYP/ACP approach to predict accurate binding energies deteriorates as the size of the basis sets decreases. Nevertheless, ACPs improve predicted binding energies by as much as a factor of 50 across the range of the basis sets studied. …”
  18. 17498
  19. 17499
  20. 17500

    <b>The role of the </b><b>LncRNA </b><b>XIST/miR-15a-5p/ MN1</b><b>signaling </b><b>axis in gender disparities in bladder cancer prognosis</b> by Qingshui Wang (17151220)

    Published 2025
    “…<p dir="ltr">Through comprehensive analysis of the GSE13507 and The Cancer Genome Atlas (TCGA) cohorts, we identified the X chromosome gene long non-coding RNA (LncRNA) X-inactive specific transcript (XIST) as a critical factor in BC sex disparity. …”