Showing 1,281 - 1,300 results of 13,894 for search '(( significantly increased decrease ) OR ( significant ((main decrease) OR (point decrease)) ))*', query time: 0.50s Refine Results
  1. 1281

    Differences in mean scores of upper extremity performance in all five accelerometer-derived variables across four time points- pre-HABIT, post-HABIT, 3-month, and 6-month post-HABI... by Shailesh S. Gardas (20490020)

    Published 2024
    “…The trends seen in the line graphs above indicate a decrease in all the accelerometer derived variables at 3-month time point (except use ratio) suggesting decrease in bimanual performance. …”
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    Absolute β convergence results. by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  7. 1287

    Conditional β convergence results. by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  8. 1288

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  9. 1289

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  10. 1290

    Regression results. by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  11. 1291

    AC-LPN circuit control high temperature induced increase of evening sleep. by Xin Yuan (174619)

    Published 2024
    “…(D–G) Optogenetic activation of ppkACs with CsChrimson (<i>Ppk-LexA>LexAop-CsChrimson</i>) increases LPN activity in vivo (D). Scale bars, 10 mm. …”
  12. 1292

    Source data - by Desheng Xie (21439869)

    Published 2025
    “…The results indicate that: 1) Vegetation cover in the affected regions decreased from 0.43 to 0.38 between 2017 and 2024, with Fire Zone 1 showing minimal recovery and Fire Zone 3 exhibiting moderate improvement, though the overall low vegetation area expanded due to ongoing fires; 2) The Remote Sensing Ecological Index (RSEI) declined from 0.41 to 0.38, with poor-rated areas increasing significantly, particularly in Fire Zone 3, reflecting the ongoing degradation of ecological conditions caused by both fire activity and climate factors; 3) The Flat Spectral Shape Index (FSSI) showed stability, but fluctuations in the areas with moderate and high probability of exposed coal, especially in Fire Zone 3, pointed to the expanding fire footprint and worsening ecological degradation; 4) Surface subsidence varied considerably, with Fire Zone 3 experiencing the most severe subsidence, indicating unstable geological conditions exacerbated by fire activity. …”
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