Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
latest decrease » greatest decrease (Expand Search), largest decreases (Expand Search), latency decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
latest decrease » greatest decrease (Expand Search), largest decreases (Expand Search), latency decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
-
1
-
2
-
3
Overview of study procedures.
Published 2025“…Intent to decrease OTC NSAID use increased more from baseline to immediately post-intervention in VIDEO vs. …”
-
4
-
5
-
6
Change in rectal temperature following pre-medication, induction and inhalant anesthesia.
Published 2025Subjects: -
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
Overview of the WeARTolerance program.
Published 2024“…This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”
-
16
AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre
Published 2025“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”
-
17
-
18
-
19
-
20