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  1. 4421
    Investigation of diets associated with dilated cardiomyopathy in dogs using foodomics analysis
    “.... Random forest analyses identified the top 30 compounds that distinguished the two diet groups with 100...”
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  2. 4422
    Machine learning applied to near-infrared spectra for clinical pleural effusion classification
    “... into train set (n = 62) and test set (n = 20). Partial least squares, random forest, support vector machine...”
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  3. 4423
    Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
    “..., LASSO, LightGBM, random forest, and XGBoost) and six ensemble models have been designed to address...”
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  4. 4424
    Effect of environmental history on the habitat-forming kelp Macrocystis pyrifera responses to ocean acidification and warming: a physiological and molecular approach
    “.... Kelp forests create some of the most productive habitats in the world, but globally, many populations...”
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  5. 4425
    Enhanced laser-driven proton acceleration using nanowire targets
    “.... This nanowire length is sufficient to form well-defined highly-absorptive NW forests and short enough...”
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  6. 4426
    Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance
    “..., partial least squares regression, and random forest algorithms.Outcomes: The results indicated that: 1...”
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  7. 4427
    50 years change in urban land use and ecological planning globally in the era of design with nature
    por Ian Douglas
    Publicado 2019
    “... tree-planting program has created a “city in the forest.” McHarg was however closely involved...”
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  8. 4428
    The amniotic fluid cell-free transcriptome in spontaneous preterm labor
    “... in AF cell-free RNA and compared between the groups. Random forest models were applied to predict time...”
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  9. 4429
    Summer habitat selection and impacts of human disturbance on leopard cats (Prionailurus bengalensis)
    “...) strengthening the protection and management of forest fringe shrub habitats to improve summer habitat...”
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  10. 4430
    Applying a bagging ensemble machine learning approach to predict functional outcome of schizophrenia with clinical symptoms and cognitive functions
    “... vector machine, linear regression, and random forests. The analysis revealed that the bagging ensemble...”
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  11. 4431
    Genetic melting pot and importance of long-distance dispersal indicated in the Gladiolus imbricatus L. populations in the Polish Carpathians
    “... occurring in open and semi-open sites of anthropogenic origin (meadows and forest margins). We checked a...”
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  12. 4432
    N2 fixation dominates nitrogen cycling in a mangrove fiddler crab holobiont
    “...Abstract Mangrove forests are among the most productive and diverse ecosystems on the planet...”
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  13. 4433
    Environmental filtering structures tree functional traits combination and lineages across space in tropical tree assemblages
    “... of species across space within diverse forests. However, poor descriptions of community functional...”
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  14. 4434
    Identification of novel neuroblastoma biomarkers in urine samples
    “.... Biomarker candidates were extracted using the Wilcoxon rank sum test, random forest method (RF...”
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  15. 4435
    Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques
    “... Learning a sample of 221 children (6–9 years) from Madrid, Spain. Both Random Forest and Gradient Boosting...”
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  16. 4436
    Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database
    “..., and End Results database. We used balanced logistic regression-random forest ensemble classifiers...”
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  17. 4437
    Émergence de la notion de service environnemental et des dispositifs de rémunération des fournisseurs: le cas du Cambodge
    “... ecosystems. In this objective, they have experienced payment devices to rural/forest communities sitting...”
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  18. 4438
    A Study on the Possibility of Identification and Comparison of Metallic Ions and Chemical Components in Wood and Bark of Oak by Atomic Adsorption and GC-MS Methods
    por Ramin Vaysi
    Publicado 2017
    “... and bark of oak. For this purpose, the samples were chosen randomly from oak in Nowshahr forest region...”
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  19. 4439
    THE SUITABILITY OF TWO- YEAR- OLD POPLAR CLONES FOR PRODUCTION OF PARTICLEBOARD
    “... limited natural forests initiated research concerning the utilization of fast-growing species...”
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  20. 4440
    Quantitative structure–activity relationship models for genotoxicity prediction based on combination evaluation strategies for toxicological alternative experiments
    “... sub-models and three fusion models were established using random forest (RF), support vector machine...”
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