Decrease in loss during the training process. by Muhammad Idrees (92773)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p dir="ltr">Data are available as a csv file titled:</p><p dir="ltr">"Sibaja_Leyton_et_al_Dataset_Stingless_Bee_Colony_Losses_in_Latin_America.csv".…”

The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells. by Hannah C. Kubinski (21213168)

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

“…However, how global land use changes impact soil N supply and potential N loss remains elusive. 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. …”

Regression analyses of the number of all ultrasonic calls identified by the experienced researcher (A.P.; “Human”) and by the DeepSqueak machine learning tool. by Piotr Popik (292215)

Subjects:

Trust change by gender. by Alain Abi-Rizk (8549358)

Subjects:

Trust change by age group. by Alain Abi-Rizk (8549358)

Subjects:

Trust change by education level. by Alain Abi-Rizk (8549358)

Subjects:

Trust change by source of science information. by Alain Abi-Rizk (8549358)

Subjects:

Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Subjects:

Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Subjects:

A frame from the video with behaviors annotated in a custom way. by Piotr Popik (292215)

Subjects:

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

Subjects:

The (A) logistic regression model (LRM) and (B) random forest model (RFM) with only conservation scores as independent variables (orange, yellow) show decreased model fitting metrics on training dataset compared to models that include conservation scores (red, blue). by Bushra Haque (20513785)

A raw video analyzed by DLC shows the camera view with two white rats, a water supply at the bottom, a sandpaper and echo-attenuating sponge on the inner walls. by Piotr Popik (292215)

Subjects:

Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neospectra models. by José L. Safanelli (20552654)

A frame showing human annotations (+) and how accurately DLC recognized them (.). by Piotr Popik (292215)

Subjects:

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects: