Search alternatives:
significant threats » significant threat (Expand Search), significant effects (Expand Search), significant health (Expand Search)
threats increased » rate increased (Expand Search), through increased (Expand Search), humans increased (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search)
significant threats » significant threat (Expand Search), significant effects (Expand Search), significant health (Expand Search)
threats increased » rate increased (Expand Search), through increased (Expand Search), humans increased (Expand Search)
spatial decrease » spatial release (Expand Search), substantial decrease (Expand Search)
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Threat factors and their associated attributes.
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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Significant spatial clusters of open defecation practice among households in Ethiopia, EDHS 2016.
Published 2022Subjects: -
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
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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500m scale main data of each grid.
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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1000m scale main data of each grid.
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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2000m scale main data of each grid.
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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Table_2_Postural threat increases sample entropy of postural control.docx
Published 2023“…Males and females responded in the same way when threatened, except males had significantly larger threat-induced increases in attention to balance and high-frequency sway. …”
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Table_1_Postural threat increases sample entropy of postural control.docx
Published 2023“…Males and females responded in the same way when threatened, except males had significantly larger threat-induced increases in attention to balance and high-frequency sway. …”
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ECoG timescales decrease during spatial attention.
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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