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:

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. …”

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. …”

Top 50 genes whose expression is most decreased in PN11 <i>Klf5</i>CN compared with the WT corneas. by Doreswamy Kenchegowda (135193)

Top 50 genes whose expression is most decreased in PN56 <i>Klf5</i>CN compared with the WT corneas. by Doreswamy Kenchegowda (135193)

WT∶MU ratio is decreased in differentiated hOE-MSCs. by Nathalie Boone (234904)

Top 50 genes whose expression is most decreased during post-eyelid opening WT corneal maturation between PN11 and PN56. by Doreswamy Kenchegowda (135193)

WT1 mRNA and protein levels are decreased by GnRH. by Debalina Bagchi (686046)

– Decreasing rank differences in the comparison Wt-t0b vs Wt-t0a are plotted (in blue) against the rank of Wt-t0a and decreasing rank differences in the comparison Wt-t0a vs Wt-t0b are plotted (in red) against the rank of Wt-t0b by Dietmar E Martin (5143)

H-MSCs^WT decrease myofibroblasts in peri-infarction region. by Panpan Chen (307628)

Knockout or inhibition of CCR1 decreases peritoneal inflammation and CAIA. by Nuruddeen D. Lewis (192385)

ATXN3 depletion decreases PNKP’s 3’-phosphatase activity. by Arpita Chatterjee (529752)

WT1 (+KTS) decreases basal and GnRH-stimulated LHβ promoter activity. by Debalina Bagchi (686046)

Regions (α-helices, β-sheets, and loops) showing an average increase or decrease of RMSF in the MTs compared to the WT; RMSF of a particular structure is taken to be increased or decreased if there is an average change in RMSF of >0.03 nm in at least ≥50% of its residues. by Kumaraswamy Naidu Chitrala (612025)

“…<p>Regions (α-helices, β-sheets, and loops) showing an average increase or decrease of RMSF in the MTs compared to the WT; RMSF of a particular structure is taken to be increased or decreased if there is an average change in RMSF of >0.03 nm in at least ≥50% of its residues.…”

Titanate Nanosheets/Cellulose Composite Showing Improved Crystallinity and Decreased Water Wettability by Gamma-Irradiation by Yaowaluk Tariwong (22630109)

Subjects:

Increased osteoblastic activity and decreased osteoclastogenesis in TgLRAP cells <i>in vitro</i>. by Naoto Haruyama (487384)

“…Compared with the co-culture of WT BMCs and WT calvarial cells (WT / WT), the number of osteoclasts were significantly decreased at 50% in the co-cultures of TgLRAP BMCs and TgLRAP calvarial cells (TgLRAP / TgLRAP) (graph). …”

Decreased FOXP3 Treg induction in LAG-3 KO cells <i>in vitro</i>. by Nicholas M. Durham (174371)

CCR2 depletion decreases lipid accumulation in the liver and WAT. by Seung Joo Lee (1766020)

“…Increased lipid droplets and fat size in HFD WT were decreased in HFD KO. Arrow indicates a crown-like structure. …”

Decreased dendritic spine density and mEPSC amplitude in the DG of Arf4^+/− mice compared to WT mice. by Sachi Jain (108277)

“…(<i>C</i>) Spine densities for specific spine subtypes in the DG of WT and Arf4^+/− mice. (<i>D–F</i>) Electrophysiological recordings reveal a decrease in amplitude of mEPSCs in Arf4^+/− (n = 9 cells) compared to WT controls (n = 6 cells) at 2 months of age. …”