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)

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)

“…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)

“…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. …”

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

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). …”

<i>Kdm6a</i> conditional KO mice have decreased repopulating potential in serial competitive transplantation assays. by Ling Tian (107492)

“…Whole BM cells were harvested from all cohorts of young <i>Kdm6a</i> conditional KO mice (CD45.2) and mixed with WT competitor marrow (CD45.1 x CD45.2) in a 1:1 ratio, which was then transplanted into lethally-irradiated primary recipient mice (CD45.1). …”

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

STAT6-driven immunity decreases <i>N</i>. <i>brasiliensis</i> reproductive output and survival within host. by Annabel A. Ferguson (17616286)

Intracellular levels of HSPG core proteins, HS and HPSE are decreased in ER stressed MIN6 cells. by Sarita Dhounchak (10924448)

Hematopoietic-restricted loss of Zeb1 decreases hematopoietic colony formation potential and ability to compete with wt HSPCs for contribution to all hematopoietic lineages. by Jueqiong Wang (11467505)

“…<p><b>(A)</b> HSPCs isolated from Vav-iCre; <i>Zeb1</i>^fl/fl fetal livers show decreased numbers of colonies in methylcellulose-based colony assays (first) that further decreases upon secondary replating (second) compared to Cre negative controls. …”

WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Comparison of mean differences in temperature decreases. by Hans-Jörg Gillmann (8460585)

Decreased number of cones and retinal ganglion cells in Oc-deficient retina. by Michaela Kreplova (9239560)

DICER protein expression is significantly decreased in the absence of MOV10 and FMRP. by Monica C. Lannom (11772729)

rHSP60 decreases LPS-induced mononuclear cell proliferation. by Igor Emiliano L. Souza (18196495)

Ectopic lesions are decreased in PUGKO mice compared to controls. by Jan Sunde (8837384)

“…This was measured by comparing the counted IHC FOXA2 stained uterine glands of microscopic images in 4 high power fields (HPF) of 40 magnification in PUGKO tdT (D) vs WT (C) Scale Bar = 100 μm. PG treatment in PUGKO mice decreases the expression of FOXA2 almost 33 times compared to the non-PG TX mice. …”

Suppression of STAT6 consistently decreases WT_III encystment. by Joshua A. Kochanowsky (7543169)

Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”