Preliminary search for price decreases for the period 01 Jan. 2021–14 Jun. 2022. by Jevgeni Tarassov (13889285)

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

The first regression of log of confirmed cases vs consecutive days for 4 of the total of 50 countries is shown. by Adam Kaplin (10156481)

Decreased Incidence of Type 1 Diabetes in Young Finnish Children by Anna Parviainen (9343391)

“…We assessed sex-specific incidence rates (IRs) per 100,000 person years (PY) by 4-year time periods in three age groups (0.50–4.99, 5.00–9.99, and 10.00–14.99 years).…”

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

Crosslinking decreases the alignment of fibers associated with individual cells migrating out of spheroids. by Michael Pamonag (12295175)

For each level of risk, we plot the proportion of respondents willing to seek vaccination across ages. by Bert Baumgaertner (3595814)

Definitions of social influence metrics (i.e., betweenness centrality or age category) network level indices (weighted (W) diameter, global efficiency and modularity, as well as un... by Maggie Wiśniewska (11965538)

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. …”

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)

Mitigation (decreasing) scenario. by Fabio Correddu (12501799)

Evaluation index results for the JS-10 phantom. by Masakazu Tsujimoto (22339504)

“…We also evaluated the maximum and mean SUVs for all its hot spheres, and their relative standard error (RSE), using SUVs obtained at 100 s/view as reference. …”

NEMA IEC body phantom. by Masakazu Tsujimoto (22339504)

“…We also evaluated the maximum and mean SUVs for all its hot spheres, and their relative standard error (RSE), using SUVs obtained at 100 s/view as reference. …”

Relationship between contrast, noise, and CNR. by Masakazu Tsujimoto (22339504)

“…We also evaluated the maximum and mean SUVs for all its hot spheres, and their relative standard error (RSE), using SUVs obtained at 100 s/view as reference. …”

JS-10 phantom. by Masakazu Tsujimoto (22339504)

“…We also evaluated the maximum and mean SUVs for all its hot spheres, and their relative standard error (RSE), using SUVs obtained at 100 s/view as reference. …”

The raw data used for the analyses in this study. by Masakazu Tsujimoto (22339504)

“…We also evaluated the maximum and mean SUVs for all its hot spheres, and their relative standard error (RSE), using SUVs obtained at 100 s/view as reference. …”

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)

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)

The numerical values underlying Fig 4. by Wataru Matsunaga (3452621)

“…In <i>in vitro</i> studies of cerebellar slices, the firing rate of PCs was increased by 50 mM EtOH in GAD65-KO compared with WT, whereas no difference was observed in the effect of EtOH at more than 100 mM between the genotypes. …”

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>). …”