Showing 61 - 80 results of 13,834 for search '(( significant gap increases ) OR ( significant main decrease ))', query time: 0.53s Refine Results
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    500m scale main data of each grid. by Qingxi Shen (3547970)

    Published 2023
    “…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
  6. 66

    1000m scale main data of each grid. by Qingxi Shen (3547970)

    Published 2023
    “…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
  7. 67

    2000m scale main data of each grid. by Qingxi Shen (3547970)

    Published 2023
    “…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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    MEG main effect of material: Word-faces. by Marie-Christin Fellner (7053533)

    Published 2019
    “…<p>(A) Main effect of material: word versus face condition irrespective of memory: significant clusters (<i>p</i><sub>corr</sub> < 0.05) returned by a cluster permutation statistic clustering across sensors, frequencies (“Freq”), and channels. …”
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    The main effects of PRGDP and Gi on SWB. by Feng Huang (62988)

    Published 2024
    “…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”
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