Showing 941 - 960 results of 3,760 for search '"tree"', query time: 0.07s Refine Results
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  9. 949

    Southern Pine Beetle, Dendroctonus frontalis Zimmermann (Insecta: Coleoptera: Scolytidae) by James R. Meeker, Wayne N. Dixon, John L. Foltz, Thomas R. Fasulo

    Published 2004-03-01
    “…Trees attacked by SPB often exhibit hundreds of resin masses (i.e., pitch tubes) on the outer tree bark. …”
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    Article
  10. 950

    Southern Pine Beetle, Dendroctonus frontalis Zimmermann (Insecta: Coleoptera: Scolytidae) by James R. Meeker, Wayne N. Dixon, John L. Foltz, Thomas R. Fasulo

    Published 2004-03-01
    “…Trees attacked by SPB often exhibit hundreds of resin masses (i.e., pitch tubes) on the outer tree bark. …”
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    Article
  11. 951
  12. 952

    Gainesville's Urban Forest Canopy Cover by Francisco Escobedo, Jennifer A. Seitz, Wayne Zipperer

    Published 2009-04-01
    “…Seitz, and Wayne Zipperer, examines how tree cover changes over time, how tree composition and location influence urban forest canopy and leaf area, and how tree and ground surface covers vary across Gainesville. …”
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    Article
  13. 953

    Gainesville's Urban Forest Canopy Cover by Francisco Escobedo, Jennifer A. Seitz, Wayne Zipperer

    Published 2009-04-01
    “…Seitz, and Wayne Zipperer, examines how tree cover changes over time, how tree composition and location influence urban forest canopy and leaf area, and how tree and ground surface covers vary across Gainesville. …”
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    Article
  14. 954

    Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

    Published 2025-01-01
    “…Data were split into two sets, where 80% developed a decision tree, and 20% tested predictive performance. We employed a conditional inference tree algorithm with bootstrap (B = 100) and grid search options to grow the decision tree and measure discrimination ability using the area under the curve (AUC) and calibration plots.…”
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  15. 955
  16. 956

    The Assessment of Agroforestry Practices in Mukura Sector, Huye District, Southern Rwanda by Doreen Mukoobwa, Benitha Zaninka, Canisius Patrick Mugunga

    Published 2023-01-01
    “…Face-to-face interview was dispensed to household heads, and data were collected on agroforestry practices, on-farm tree species, tree spatial arrangements, tree products, and the adoption rate. …”
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  17. 957

    The heterogeneity of Pinus yunnanensis plantation growth was driven by soil microbial characteristics in different slope aspects by Zhongmu Li, Yong Chai, Chengjie Gao, Jin Li, Kai Cui

    Published 2025-01-01
    “…However, the mechanism of how this aspect changes the underground ecosystem and thus affects the growth of aboveground trees is not clear. In this study, Pinus yunnanensis plantation was taken as the research object, and the effects of soil and microbial characteristics on tree growth under different slope aspects and soil depths were systematically analyzed. …”
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  18. 958
  19. 959

    Tutorial Review for Understanding of Cholangiopathy by Yasuni Nakanuma

    Published 2012-01-01
    “…The biliary tree consists of intrahepatic and extrahepatic bile ducts and is lined by biliary epithelial cells (or cholangiocytes). …”
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  20. 960

    The effect of abiotic factors on apricot yield in the Southern Urals by F. M. Gasymov

    Published 2019-02-01
    “…Such a long-term study made it possible to identify abiotic factors affecting the yield of this crop as well as to select highly adaptive and high-yielding cultivars for the Southern Urals: ‘Prizer’ (9.4 kg/tree), ‘Snezhinsky’ (9.2 kg/tree), ‘Kichiginsky’ (9.0 kg/tree) and ‘Uralets’ (8.5 kg/tree). …”
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