Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

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)

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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)

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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>). …”

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

“…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …”

Top k-NN clusters of metabolites decreased at 4 hours. by Zarazuela Zolkipli-Cunningham (5234186)

Top k-NN cluster of metabolites decreased at 30 minutes. by Zarazuela Zolkipli-Cunningham (5234186)

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. …”

Conditional <i>Aff4</i> knockout decreases fat mass in mice. by Yaqian Chen (1711576)

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). …”

Step Width, Step Length, and Step Time. by Mengnan Wu (769253)

Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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Identification of Two Plastid Proteins in the Dinoflagellate <i>Alexandrium affine</i> That Are Substantially Down-Regulated by Nitrogen-Depletion by Fred Wang-Fat Lee (2339839)

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