“…The majority of nitrogen addition studies, however, are conducted in grasslands and forests, and the relationship between soil properties, bacterial compositions, and plant growth driven by nitrogen addition is poorly understood in coastal marshes. …”
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“…The min-max standardization method is used to process the data set, and the random forest is used to calculate the importance of sound features. …”
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“…Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. …”
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“…The Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression and random forest algorithm were combined and used for screening diagnostic markers for OP. …”
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“…The findings are described in forest plots with the point estimations and 95% confidence interval (CI). …”
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“…Univariate Cox analysis and random forest algorithms was used for features screening. …”
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“…A deep learning long short-term memory Recurrent Neural Network (RNN) was developed and compared to traditional linear and non-linear models: LR, AdaBoost, and Random Forest (RF). Models to predict unplanned, all-cause readmission were developed using demographics, vital signs, diagnostic and procedure codes, medications, laboratory tests, and administrative data as defined by the National Patient-Centered Clinical Research Network (PCORnet) Common Data Model. …”
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“…In the proposed FG-CNN, several handcrafted features have been fused into a CNN model to guide CNN feature extraction, and both handcrafted and CNN-extracted features were applied to a regression model, i.e., random forest regression, to estimate knee joint movements. …”
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“…RESULTS: Six randomized controlled studies and 20 retrospective cohort studies met the inclusion criteria. In meta-analytic forest plots, compared with IVF, those who received ICSI treatment were not different in fertilization rate (RR = 0.99, 95% CI [0.90–1.09], P = 0.88), total fertilization failure rate (RR = 1.30, 95% CI [1.17–1.45], P < 0.00001), and good quality embryo rate (RR = 0.94, 95% CI [ 0.86–1.02], P = 0.15), clinical pregnancy rate (RR = 0.84, 95% CI [0.70–1.01], P = 0.06), live birth rate (RR = 0.89, 95% CI [0.77–1.03], P = 0.13), miscarriage rate (RR = 1.06, 95% CI [0.78–1.43], P = 0.71), preterm neonatal delivery rate (RR = 0.92, 95% CI [0.67–1.26], P = 0.61), and low neonatal weight rate (RR = 1.13, 95% CI [0.80–1.61], P = 0.48). …”
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“…Dune thickets subject to low fire exposure comprises a floristically distinct, low forest characterized by shrubs with one-to-few upright stems (ca. 4–8 m tall) and a relatively small canopy spread (vertical growers). …”
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“…Sutterella was also the critical genus able to distinguish the two feeding regimens by Random Forest. A rumen microbial predictor consisting of an unclassified genus in the candidate division SR1 (numerator) and an unclassified genus in the order Bacteroidales (denominator) accurately distinguished the two feeding schemes. …”
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“…In this study, the fluxes of carbon dioxide (CO(2)) and nitrous oxide (N(2)O) were measured using the static chamber method from an island forest dominated by two different species, namely Betula platyphylla (BP) and Larix gmelinii (LG), in a marsh wetland in the Great Xing’an Mountains. …”
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“…METHODS: We studied 391 participants from the Wake Forest Alzheimer’s Disease Research Center Clinical Core cohort who underwent neuropsychological assessment and magnetic resonance imaging (MRI). …”
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“…As climate change increasingly affects forest ecosystems, detailed understanding of major effects is important to anticipate their consequences under future climate scenarios. …”
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“…Treatment stimulated earlier maturation of prokaryote community in T-group before month 4 and earlier maturation of ciliate protozoa at month 2 (Random Forest: 0.75 month for bacteria and 1.5 month for protozoa). …”
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“…Herein, four novel strains were isolated from Dinghu Mountain Biosphere Reserve, Guangdong province, and Qinghai virgin forest soils, Qinghai province, China. The phylogenetic analysis based on 16S rRNA gene and genomic sequences indicated that the four strains belong to the genera Myxococcus and Pyxidicoccus, sharing the highly similarities of 16S rRNA gene with the genera Myxococcus and Pyxidicoccus (99.3–99.6%, respectively). …”
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“…Since pangolins are highly adapted to ants and termites, they are important for controlling forest termite infestations. In addition to their ecological value, pangolins have economic and medicinal value. …”
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“…Future directions include developing a random forest model or integrating convolutional neural network-based machine learning to refine the speed and accuracy of triage and referral processes, with emphasis on increasing sensitivity of the CDSS.…”
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“…Ceratitis spp. were less abundant than B. dorsalis, with Ceratitis anonae dominating in the western highland zone and Ceratitis cosyra in the humid forest zone. Methyl eugenol and terpinyl acetate captured more B. dorsalis and Ceratitis spp., respectively than Torula yeast. …”
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“…Next, three individual machine learning methods, random forest, support vector machine-recursive feature elimination, and least absolute shrinkage and selection operator, were combined to identify feature genes from the APO candidate set. …”
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