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  1. 1161
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    Functional localization within the prefrontal cortex: missing the forest for the trees?
  2. 1162
    “…The machine-learning algorithm, Random Forests, was employed to model and predict seafloor standing stocks from surface primary production, water-column integrated and export particulate organic matter (POM), seafloor relief, and bottom water properties. …”
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    Global Patterns and Predictions of Seafloor Biomass Using Random Forests
  3. 1163
    por Sundufu, Abu James, Dumbuya, Rashida
    Publicado 2008
    “…The habitat preferences of the butterfly fauna were studied in the Bumbuna Forest Reserve in northern Sierra Leone. The intact forest reserve and a secondary forest regrowth, disturbed as a result of slash-and-burn agriculture, were compared to savanna habitats. …”
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    Habitat Preferences of Butterflies in the Bumbuna Forest, Northern Sierra Leone
  4. 1164
    “…Lignin in feedstock plant material represents a barrier to more efficient plant biomass conversion and can also hinder enzymatic access to cellulose, which is critical for biofuels production. Tropical rain forest soils in Puerto Rico are characterized by frequent anoxic conditions and fluctuating redox, suggesting the presence of lignin-degrading organisms and mechanisms that are different from known fungal decomposers and oxygen-dependent enzyme activities. …”
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    Characterization of Trapped Lignin-Degrading Microbes in Tropical Forest Soil
  5. 1165
    “…This study from one mountain range, the East Usambaras, examines floristic and structural tree data from 41–0.5 ha plots in four types of Eastern Arc forest: active agroforests, recently abandoned agroforests, mature secondary forest, and natural forest. …”
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    Comparison of Agroforests and Protected Forests in the East Usambara Mountains, Tanzania
  6. 1166
    “…We surveyed epixylic (dead wood inhabiting) forest-interior cryptogams (lichens, bryophytes, and fungi) associated with mature old-growth forests in 30 young managed Swedish boreal forest stands bordering a mature forest of high conservation value. …”
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    Positive Edge Effects on Forest-Interior Cryptogams in Clear-Cuts
  7. 1167
    por Abbas, Farhat, Fares, Ali, Fares, Samira
    Publicado 2011
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    Field Calibrations of Soil Moisture Sensors in a Forested Watershed
  8. 1168
    “…Sixty percent of cDNA sequences from beech forest soil and 52% from spruce forest soil had no homologs in the GenBank/EMBL/DDJB protein database. …”
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    Metatranscriptomics Reveals the Diversity of Genes Expressed by Eukaryotes in Forest Soils
  9. 1169
    por Yoshida, Makiko, Koike, Asako
    Publicado 2011
    “…RESULTS: We have developed a new method, named SNPInterForest, for identifying epistatic interactions by extending an ensemble learning technique called random forest. …”
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    SNPInterForest: A new method for detecting epistatic interactions
  10. 1170
    por Freed, Leonard A., Cann, Rebecca L.
    Publicado 2012
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    Changes in Timing, Duration, and Symmetry of Molt of Hawaiian Forest Birds
  11. 1171
    “…Our study demonstrates that the relative importance of variables driving patterns of tree survival differs greatly among size classes, species guilds and abundance classes in temperate forest, which can further understanding of forest dynamics and offer important insights into forest management.…”
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    Local-Scale Drivers of Tree Survival in a Temperate Forest
  12. 1172
    “…The majority of the land in the contaminated area is forest. Here we report the amounts of biomass, litter (small organic matter on the surface of the soil), coarse woody litter, and soil in the contaminated forest area. …”
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    The total amounts of radioactively contaminated materials in forests in Fukushima, Japan
  13. 1173
    “…In this study, we tested for the presence of negative density dependence (NDD) and CCT in three forests along a tropical-temperate gradient. Inventory data were collected from forest communities located in three different latitudinal zones in China. …”
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    Community Compensatory Trend Prevails from Tropical to Temperate Forest
  14. 1174
    “…Our study clearly demonstrates that seasonal dynamics of communities should be taken into account when studying biodiversity patterns of spiders, and probably forest arthropods in general.…”
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    Seasonal dynamics of arboreal spider diversity in a temperate forest
  15. 1175
    “…Besides its extreme climate conditions, the Caatinga (a type of tropical seasonal forest) hosts an impressive faunal and floristic biodiversity. …”
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    Caatinga Revisited: Ecology and Conservation of an Important Seasonal Dry Forest
  16. 1176
    “…Only one of the nine metrics we compared differed between continuous forest and forest fragments, indicating that networks were resistant to the biotic and abiotic changes that accompany fragmentation. …”
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    Resilient Networks of Ant-Plant Mutualists in Amazonian Forest Fragments
  17. 1177
    “…Tropical deforestation and forest fragmentation are among the most important biodiversity conservation issues worldwide, yet local extinctions of millions of animal and plant populations stranded in unprotected forest remnants remain poorly explained. …”
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    Pervasive Defaunation of Forest Remnants in a Tropical Biodiversity Hotspot
  18. 1178
    “…The implementation of this technique, forestSV, offers high sensitivity and specificity coupled with the flexibility of a data-driven approach.…”
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    forestSV: structural variant discovery through statistical learning
  19. 1179
    “…In this work, we developed a novel predictor based on Random Forest algorithm (RF) using maximum relevance minimum redundancy (mRMR) method followed by incremental feature selection (IFS). …”
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    Prediction of Protein Cleavage Site with Feature Selection by Random Forest
  20. 1180
    “…The method achieves 95.59 % of accuracy using Random Forest with 10 fold cross validation. Prediction of mannose binding site analysis will be quite useful in drug design.…”
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    Prediction of protein-mannose binding sites using random forest
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