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)

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

“…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

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

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>). …”

Fig 5 - by Dennis Ochola (11626912)

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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. …”

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). …”

SDG decreases iron-induced apoptosis in H9c2 cells. by Stephanie Puukila (568109)

SDG decreases iron-induced oxidative stress in H9c2 cells. by Stephanie Puukila (568109)

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

The decreasing rates of V_p with temperature. by Nazlı Tunar Özcan (14833635)

“…Additionally, X-ray micro-computed tomography technique was employed to observe the microstructure and determine the porosity of rock salt samples depending on the temperature. The V_p and the σ_t of Çankırı rock salt decrease with increasing temperatures of samples whereas the σ_c increases. …”

Pretreatment with SDG prevents iron induced decrease in H9c2 cell size. by Stephanie Puukila (568109)

The expression of 5-hmC was decreased in ESCC tissues and cell lines. by Xuejiao Shi (1684186)

SDG decreases iron-induced MMP gene expression in H9c2 cells. by Stephanie Puukila (568109)

Five compounds significantly decrease MAPK1 phosphorylation in K562 cells. by Pamela Y. Ting (713174)

Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

“…Downregulation of DOM decreased PER levels at CT1-5 and CT17-21. (Scale bar: 50 um.) …”

Revisiting the sealed heating method–heating cells in a low volume decreases nuclear Chk1. by Andrew J. Massey (239469)

SDG decreases iron-induced inflammatory cytokine gene expression in H9c2 cells. by Stephanie Puukila (568109)

SDG decreases iron-induced caspase 3/7 activity in H9c2 cells. by Stephanie Puukila (568109)