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  1. 4901
    Coarse-Grained Sentiment Analysis Berbasis Natural Language Processing – Ulasan Hotel
    “.... Pada makalah ini prediksi dilakukan menggunakan classifier Random Forest (RF), sementara untuk...”
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  2. 4902
    Warm springs, early lay dates, and double brooding in a North American migratory songbird, the black-throated blue warbler.
    “... Brook Experimental Forest, New Hampshire, USA, where long-term trends toward warmer springs have been...”
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  3. 4903
    The Role of Phosphorus Limitation in Shaping Soil Bacterial Communities and Their Metabolic Capabilities
    “... represent diverse biomes, including tropical forests, temperate grasslands, and arid shrublands. We paired...”
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  4. 4904
    Participation of diverse actors and usage of traditional and local knowledge in local biodiversity strategies and action plans of Japanese municipalities
    “... ecological and social factors such as natural and secondary forests, agricultural lands, population...”
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  5. 4905
    Variation of maximum tree height and annual shoot growth of Smith fir at various elevations in the Sygera Mountains, southeastern Tibetan Plateau.
    “... fir (Abies georgei var. smithii) in seven forest plots (30 m×40 m) along two altitudinal transects...”
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  6. 4906
    Diversity measures in environmental sequences are highly dependent on alignment quality--data from ITS and new LSU primers targeting basidiomycetes.
    “.... In order to study the diversity of Agaricomycotina in forest soils, we designed primers targeting the more...”
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  7. 4907
    The contribution of vegetation and landscape configuration for predicting environmental change impacts on Iberian birds.
    “... distributions were modelled for 168 bird species using two ensemble forecasting methods: Random Forests (RF...”
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  8. 4908
    Machine learning-based mortality prediction model for heat-related illness
    “..., support vector machine, random forest, XGBoost) demonstrated favorable performance for outcome prediction...”
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  9. 4909
    Differentiation of two swim bladdered fish species using next generation wideband hydroacoustics
    “..., and between species was quantified and visually examined. Random forest classification was then used...”
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  10. 4910
    Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease
    “... random survival forest to predict survival in COPD patients. We trained CNN-based binary classifier based...”
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  11. 4911
    Effects of Malaise trap spacing on species richness and composition of terrestrial arthropod bulk samples
    “... be observed across all major taxonomic groups and for two different habitat types (grassland and forest...”
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  12. 4912
    Ticks and tick-associated spotted fever group Rickettsia from birds in the southwestern Brazilian Amazon
    “... birds captured in a region of the Amazon forest, Acre state, Brazil, and to evaluate rickettsial...”
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  13. 4913
    Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules
    “.... The Random Forests (RF), Graph Convolutional Network (GCN), and Directed Acyclic Graph (DAG) models achieved...”
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  14. 4914
    Impact of fallow on soil health in Mokokchung district, Nagaland, India
    “... Two sites were selected from the district of Mokokchung, Nagaland viz., Forest Regeneration Site...”
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  15. 4915
    Efficiency of Iranian Hospitals Before and After Health Sector Evolution Plan: A Systematic Review and Meta-Analysis Study
    “.... Heterogeneity between the studies was assessed using Q and I2 tests. A forest plot with 95% confidence intervals...”
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  16. 4916
    Long‐term vegetation restoration increases carbon sequestration of different soil particles in a semi‐arid desert
    “... carbon sequestration, the best vegetation restoration mode in Mu Us Desert would be arbor forest....”
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  17. 4917
    Determination of field capacity in the Chibunga and Guano rivers micro-basins [version 1; peer review: 2 approved]
    “... with CN of 78, the soil texture for eucalyptus forest is clay loam, and its CN value, 46, is the lowest...”
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  18. 4918
    Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
    “... the performance of classification tree, random forest (RF), extreme gradient boosting (XGBoost), logistic...”
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  19. 4919
    MiR-320a as a Potential Novel Circulating Biomarker of Arrhythmogenic CardioMyopathy
    “... Forest analysis and accuracy by Receiver Operating Curves. Plasmatic miR-320a showed 0.53 ± 0.04 fold...”
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  20. 4920
    A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
    “... for inclusion. Support vector machines and random forests were the most popular ML methods used. ML models using...”
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