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

“…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. …”

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

“…<p><b>(a)</b> Autocorrelation profiles of 53 key BO-NN features. Per feature, a black line shows the time point where the autocorrelation drops below .5. …”

Decreasing oxygen saturation with corresponding levels of NLR and D-dimer for understanding the interplay of inflammation. by Narendran Gopalan (110148)

Boron Leaching Decreases withIncreases on Soil pH by Alessandra Aparecida de Sá (12700698)

“…Total recovery of applied B, including leached B plus B extracted from the soil after all percolations, was less than 50 %, showing that not all sorbed B was quantified by the hot water extraction method.…”

Prevalence and incidence rates per 100,000 individuals with de novo AML. by Hyun Jin Han (18592254)

Germ cell size decreases before corpse formation. by Tea Kohlbrenner (19476160)

JBPOS0101 decreased Amyloid Beta (Aβ) aggregates in the cortex and hippocampal regions in 5xFAD mouse brains. by Jihoon Jeong (4852690)

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)

Analysis of correlation of RV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Analysis of correlation of LV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Standard deviation of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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RV-GLS agreement analysis between expert and novice trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Standard deviation of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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LV-GLS agreement analysis between expert and trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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GLS analysis with 2D-STE software. by Chantelle M. de Vet (16535257)

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ICC of each trainee RV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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ICC of each trainee LV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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Mean of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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