Search alternatives:
significant spatial » significant potential (Expand Search), significant negative (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search), small decrease (Expand Search)
greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
larger decrease » marked decrease (Expand Search)
significant spatial » significant potential (Expand Search), significant negative (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search), small decrease (Expand Search)
greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
larger decrease » marked decrease (Expand Search)
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 305 units from 5 recording sessions, n<sub>shuffled</sub> = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 180 units from 4 recording sessions, n<sub>shuffled</sub> = 18000 simulated units from 4 recording sessions). …”
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Spatial characteristics of cultivated land expansion in China during 2000~2020.
Published 2024Subjects: -
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Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1.
Published 2024“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.134 ± 0.050, shuffled = 0.123 ± 0.035, p < 0.005, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 229 units from 5 recording sessions, n<sub>shuffled</sub> = 22900 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.132 ± 0.054, shuffled = 0.124 ± .054, p = 0.13, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 124 units from 4 recording sessions, n<sub>shuffled</sub> = 12400 simulated units from 4 recording sessions). …”
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Spatial distribution of socioeconomic indicators in Brazilian capital states in 2010.
Published 2023Subjects: -
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Spatial variation of water availability in Hebi.
Published 2024“…The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. …”
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Spatial distribution of the seasonal grassland NPP in the Qilian mountains from 2010 to 2015.
Published 2024Subjects: -
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Spatial distribution of the monthly grassland NPP in the Qilian mountains from 2010 to 2015.
Published 2024Subjects: -
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