Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Subjects:

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Subjects:

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

Subjects:

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

Expression of <i>GmNN1/FT2a</i> in various tissues of soybean plants. by Xinxin Li (281237)

GmNN1/FT2a interacted with GmNYFA-C in the BiFC assay. by Xinxin Li (281237)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”

Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping. by Xinxin Li (281237)

The Dose–Response Decrease in Heart Rate Variability: Any Association with the Metabolites of Polycyclic Aromatic Hydrocarbons in Coke Oven Workers? by Xiaohai Li (136211)

“…After adjustment for potential confounders, elevation per interquartile range (IQR) (1.81 µg/mmol creatinine) of urinary 2-hydroxynaphthalene was associated with a 5.46% (95% CI, 2.50–8.32) decrease in standard deviation of NN intervals (SDNN). …”

Phenotype and molecular identification of <i>GmNN1/FT2a</i> in stable transgenic soybean plants. by Xinxin Li (281237)

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

Damsin (D) and ambrosin (A) treatment decreases the CSC population. by Wendy Soria Sotillo (4408105)

Fli-1 directly activates miR-17-92 promoter and contributes to miR-17 and miR-20a expression in NN10#5 cells. by Samer Kayali (133888)

“…<p>A: NN10#5 cells have been cultured for two days in absence or presence of Dox used to induce Fli-1 knock-down before analysis. …”

A vector quantization based k-NN approach for large-scale image classification by Ozan, Ezgi Can

“…In this paper we propose a vector quantization (VQ) based k-NN classifier, which has improved efficiency for both storage requirements and computational costs. …”
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The distributions of the end-simulation adolescence-limited proportion when (a) <i>k</i> is increased or decreased by 50%, (b) <i>c</i> is increased or decreased by 50%, (c) <i>γ</i> is increased or decreased by 50%, and (d) Δ<i>e</i> is increased or decreased by 50%, compared against the benchmark distribution <i>F</i>(<b>p</b>₀) for the parameters shown in Table 1. by Jia Ning Leaw (752775)