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:

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)

Definitions of the features selected [50]. by Yu Zhang (12946)

Expression of ApoB-50 decreased lipid accumulation and inhibited HCV production. by Bei Wang (116772)

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

“…As a central part of the global N cycle, soil N supply from net N mineralization (NNM) and net nitrification (NN) contributes to over 50% of crop N uptake. However, how global land use changes impact soil N supply and potential N loss remains elusive. …”

Comparison of baseline characteristics stratified by the occurrence of ISR > 50%. by Jae-Chan Ryu (2850581)

Sensitivity analysis of 50:50 model. by Rachael Miller Neilan (10678614)

“…<p>A sensitivity analysis was conducted on the 50:50 model with constant 120 pA current to determine the sensitivity of pain output to select model parameters before injury (t = 10), during injury (t = 105), and after injury (t = 240). …”

Binary and ordinal logistic regression analysis of predictors for the occurrence of ISR > 50%. by Jae-Chan Ryu (2850581)

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

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>). …”

Kylo-0603’s EC50 & tissue levels. by Xueqin lu (22250795)

Split <i>ClvR</i>^<50cM configurations. by Georg Oberhofer (3401438)

50 most upregulated genes in AzEvC10 during macrophage infection. by Mylene Vaillancourt (7409486)

Probability of release is decreased by hydrophobic mutations. by Matthew R. Bowers (8423115)

Ivermectin significantly decreases <i>L</i>. <i>loa</i> mf in BALB/c mice. by Rene Bilingwe Ayiseh (6900296)

Host population bottlenecks decrease microbiome diversity. by Michael Ørsted (5926028)

Decreasing fluconazole susceptibility of clinical South African <i>Cryptococcus neoformans</i> isolates over a decade by Serisha D. Naicker (8648370)

Decreased expression levels of SPI-1 genes in <i>bipA</i>-deleted strain at 20°C. by Eunsil Choi (8271039)

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Velocity distribution at different openings (a) 25%; (b) 50%; (c) 75%; (d) 100%. by Weiqing Xu (1279959)