Showing 201 - 220 results of 1,537 for search '(( significantly increased decrease ) OR ( significantly ((a decrease) OR (mean decrease)) ))~', query time: 0.36s Refine Results
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    Coverage of plant species in each plot. by Xuemei Xiang (20756894)

    Published 2025
    “…The plant functional richness index, functional diversity index, functional dispersion index, and Rao’s quadratic entropy index showed a decreasing trend. At the same time, with the increase in temperature and nitrogen deposition, the relationship between plant species diversity index and functional diversity index in the alpine meadow of Qinghai-Tibet Plateau gradually weakened. …”
  5. 205

    Specifications and effects of heating devices. by Xuemei Xiang (20756894)

    Published 2025
    “…The plant functional richness index, functional diversity index, functional dispersion index, and Rao’s quadratic entropy index showed a decreasing trend. At the same time, with the increase in temperature and nitrogen deposition, the relationship between plant species diversity index and functional diversity index in the alpine meadow of Qinghai-Tibet Plateau gradually weakened. …”
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    A representative ultrasound axis image. by Eun-Seon Yang (19751340)

    Published 2024
    “…SBP showed an increasing trend, but this was not statistically significant (<i>p</i> = 0.108). …”
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    The technical route of the study. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  11. 211

    Point cloud fusion instance effect. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  12. 212

    Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
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