Showing 5,621 - 5,640 results of 18,449 for search 'significant ((((((teer decrease) OR (a decrease))) OR (greater decrease))) OR (mean decrease))', query time: 0.50s Refine Results
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    Data set. by Belachew Tekleyohannes Wogayehu (19470257)

    Published 2025
    “…Even though hairdressing is a significant source of wealth, it is linked to several kinds of medical problems mainly skin conditions. …”
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  9. 5629

    Influencing factors of APCA. by Wenping Ning (19871091)

    Published 2024
    “…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”
  10. 5630

    Temporal trends in APCA. by Wenping Ning (19871091)

    Published 2024
    “…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”
  11. 5631

    Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

    Published 2024
    “…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”
  12. 5632

    Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

    Published 2024
    “…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”
  13. 5633

    Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

    Published 2024
    “…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”
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