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  1. 1561
    “…Forests in Europe are exposed to increasingly frequent and severe disturbances. …”
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    Spatial variation in red deer density in a transboundary forest ecosystem
  2. 1562
    “…METHODS: A study was conducted in 12 sites from four forests in Cambodia. All mosquitoes, collected during the dry and rainy seasons, were morphologically identified. …”
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    Mosquito diversity (Diptera: Culicidae) and medical importance in four Cambodian forests
  3. 1563
    “…We followed the literature to choose the classifiers - Random Forest, Support Vector Machine, and Neural Network - and designed sub-datasets to model and compare the performance of our results. …”
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    Revisiting predictions of movie economic success: random Forest applied to profits
  4. 1564
    “…The copy number of osteosarcoma was also analyzed. A random forest classifier identified nine representative genes (ANK1, TGFBR3, TNFRSF21, HSPB8, ITGA7, RHD, AASS, GREM2, NFASC). …”
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    Construction of Osteosarcoma Diagnosis Model by Random Forest and Artificial Neural Network
  5. 1565
    “…Despite the importance of forests, insect trends therein have received little attention. …”
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    Insect decline in forests depends on species’ traits and may be mitigated by management
  6. 1566
    “…In this article, we propose a methodology to detect presence of population heterogeneity in federated settings and propose a solution to handle such heterogeneity by developing a federated version of Deep Regression Forests. Additionally, we demonstrate that the recently conceptualized REpresentation of Features as Images with NEighborhood Dependencies CNN framework can be combined with the proposed Federated Deep Regression Forests to provide improved performance as compared to existing approaches. …”
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    Federated learning framework integrating REFINED CNN and Deep Regression Forests
  7. 1567
    “…(mountain birch) is the only forest-forming tree in Iceland. Since human settlement (874 AD), the continuous 25,000 to 30,000 km(2) forest has shrunk to 1.200 km(2) of fragmented patches, making it a good object to study population genetic consequences of habitat fragmentation and disturbance. …”
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    Population structure and genetic variation of fragmented mountain birch forests in Iceland
  8. 1568
    “…Bats suppress insect populations in agricultural ecosystems, yet the question of whether bats initiate trophic cascades in forests is mainly unexplored. We used a field experiment to test the hypothesis that insectivorous bats reduce defoliation through the top‐down suppression of forest‐defoliating insects. …”
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    Bats reduce insect density and defoliation in temperate forests: An exclusion experiment
  9. 1569
    “…The continued functioning of tropical forests under climate change depends on their resilience to drought and heat. …”
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    Long‐term drought effects on the thermal sensitivity of Amazon forest trees
  10. 1570
    “…This study intends to apply the random forest (RF) algorithm in ensemble learning to establish a predictive model for the occurrence of SHS after stroke, aiming to identify high-risk SHS in the first-stroke onset population and discuss possible therapeutic methods. …”
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    A predictive model based on random forest for shoulder-hand syndrome
  11. 1571
    “…Over the last decades, the natural disturbance is increasingly putting pressure on European forests. Shifts in disturbance regimes may compromise forest functioning and the continuous provisioning of ecosystem services to society, including their climate change mitigation potential. …”
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    Significant increase in natural disturbance impacts on European forests since 1950
  12. 1572
    “…Mapping tropical forest aboveground biomass (AGB) is important for quantifying emissions from land use change and evaluating climate mitigation strategies but remains a challenging problem for remote sensing observations. …”
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    Mapping tropical forest aboveground biomass using airborne SAR tomography
  13. 1573
    “…Out of these, based on the weighted metrics considered, the Random Forest classifier showing 87% accuracy was considered to be the best performing algorithm and thus was used to predict the biomarkers causing NSCLC and SCLC. …”
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    Novel Biomarker Prediction for Lung Cancer Using Random Forest Classifiers
  14. 1574
    “…SIMPLE SUMMARY: Forest edges significantly influence the distribution of many beetles. …”
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    Edge Effects in the Distribution of Coleoptera in the Forests of the Center of the European Part of Russia
  15. 1575
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    Author Correction: The value of ecosystem services in global marine kelp forests
  16. 1576
    por Egerer, Monika, Suda, Michael
    Publicado 2023
    “…We harnessed the concept of "Tiny Forests©" – a restoration strategy for small wooded areas (~100-400 m(2)) – to create a transdisciplinary and experiential project for university forestry students that follows an ecology-with-cities framework. …”
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    Designing “Tiny Forests” as a lesson for transdisciplinary urban ecology learning
  17. 1577
    “…Forests serve a crucial role in our fight against climate change. …”
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    Collective property rights lead to secondary forest growth in the Brazilian Amazon
  18. 1578
    “…Understanding the spatial distribution of urban forest ecosystem services is essential for urban planners and managers to effectively manage cities and is an essential part of sustainable urban development. …”
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    Spatial Heterogeneity analysis of urban forest ecosystem services in Zhengzhou City
  19. 1579
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    Northern expansion is not compensating for southern declines in North American boreal forests
  20. 1580
    “…Record-breaking summer forest fires have become a regular occurrence in California. …”
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    Anthropogenic climate change impacts exacerbate summer forest fires in California
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