Showing 1 - 20 results of 75,548 for search '(( significant spatial decrease ) OR ( significant differences model ))', query time: 2.05s Refine Results
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    Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

    Published 2024
    “…(C) In vCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.138 ± 0.065, APP/PS1 = 0.112 ± 0.035, p < 10<sup>−6</sup>, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 689 units from 6 recording sessions, n<sub>APP/PS1</sub> = 651 units from 8 recording sessions). …”
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    Spatial Dubin panel model estimation results. by Xiaoyu Wan (644814)

    Published 2024
    “…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”
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    Boruta, random forest model variable significance and ranking for biological sound producers. by Lindsey Transue (15322306)

    Published 2023
    “…Bars represent the significance (mean Z-score) of each variable from the Boruta wrapper algorithm based on a random forest model. …”
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    Boruta, random forest model variable significance and ranking for sound pressure levels and anthropogenic noise detections. by Lindsey Transue (15322306)

    Published 2023
    “…Bars represent the significance (mean Z-score) of each variable from the Boruta wrapper algorithm based on a random forest model. …”
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    ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

    Published 2025
    “…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”
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