Exact(4)
Figure 9 The comparison of percentage duration of tracking correctness for different data conditions: (a) Ground-proof, (b) Human target-only, and (c) Noisy-environment with multiple speed trials of target movement.
We summarize the mean error, the standard deviation of error, and mean time required per cycle in Table 3. Figure 9 shows the comparison of percentage duration of tracking correctness including ground-proof, human target-only, and noisy-environment with multiple speed trials of target movement.
Our results demonstrate that speed-accuracy relations were observed regardless of whether participants were aware (i.e., non-masked trials) or unaware (i.e., masked trials) of target size.
Molecularly targeted contrast ultrasound is largely at the preclinical stage of investigation; however, some early trials of target ultrasound contrast agents in patients are under way.
Similar(56)
13 We analysed trials of targeting intensive glycaemic control as part of an acute intervention and trials with multimodal interventions separately.
We analysed trials of targeting intensive glycaemic control in patients without acute events at entry or without concomitant treatments targeting other cardiovascular risk factors as "trials exclusively dealing with glycaemic control in usual care setting".
14 We did a search in the Cochrane Library, Medline, Embase, Science Citation Index Expanded, LILACS, and CINAHL in December 2010 for randomised clinical trials of targeting intensive glycaemic control versus targeting conventional glycaemic control in patients with type 2 diabetes.
We searched in The Cochrane Library, Medline, EMBASE, Science Citation Index Expanded, and LILACS in January 2013 for randomised clinical trials of targeting intensive glycaemic control versus conventional glycaemic control in patients with type 1 diabetes mellitus.
Our objective was to evaluate the feasibility of a randomized trial of target glucose ranges 5 7 mmol/l or 8 10 mmol/l.
The number of trials that took for the decoder to find the target during the first 50 trials of each target was used as a measure of speed of learning.
This allowed the development of predictive algorithms and could allow the development and trialling of targeted interventions.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com