Search alternatives:
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
-
51981
Image_2_The link between reported cases of COVID-19 and the Infodemic Risk Index: A worldwide perspective.PNG
Published 2023“…Using 640 million tweets collected by the Infodemic Observatory and the open access dataset published by Our World in Data regarding COVID-19 worldwide reported cases, we analyze the COVID-19 infodemic vs. pandemic co-evolution from January 2020 to December 2020. We find that a characteristic pattern emerges at the global scale: a decrease in misinformation on Twitter as the number of COVID-19 confirmed cases increases. …”
-
51982
-
51983
-
51984
-
51985
-
51986
-
51987
-
51988
-
51989
-
51990
-
51991
Impact of dnSGK1 overexpression on dendritic spine density and electrophysiological properties in cultured neurons.
Published 2015“…(B) Quantitation of spines density showing a decrease in neurons cultured with dnSGK1 (neurons, <i>n</i> = 6; branches, <i>n</i> = 7; total dendritic length = 174.36 μm) as compared to EGFP control (neurons, <i>n</i> = 5; branches, <i>n</i> = 7; total dendritic length = 197.95 μm). …”
-
51992
-
51993
-
51994
-
51995
-
51996
-
51997
-
51998
-
51999
-
52000
Temporal trend in the prevalence of indicators related to driving a motor vehicle after alcohol consumption, between 2007 and 2018
Published 2021“…The population consisted of adults (≥ 18 years old) living in Brazilian capitals with a landline. Trend analysis was performed by linear regression. …”