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Comparison of theoretical and simulation performance in terms of symbol error rates for hard decision detection-based demodulator for no-memory signaling.
The current study examined whether cognitive dysfunction was independently associated with reduced driving simulation performance in a sample of HF patients.
In brief summary, the current study found that HF patients performed worse on a driving simulation scenario than healthy adults and reduced cognitive function was associated with poorer driving simulation performance in this sample.
Independent samples t-tests first examined driving simulation performance in this sample of HF participants compared to performance among healthy adults from a validation study [ 29] on the following indices: Total number of collisions, number of stop signs missed, number of centerline crossings, and number of road excursions.
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A study by Daniels et al. found that although knowledge outcomes were similar between the interactive and simulation groups, the simulation team performance in a labour and delivery clinical drill was significantly higher for both shoulder dystocia (11.75 versus 6.88, P <0.01) and eclampsia (13.25 versus 11.38, P = 0.032) at 1 month post-intervention [ 38].
Using the knowledge learned from the profiling study, we improve the simulation performance by incorporating SSE in the ray-tracing, random number generation and the calculations of math functions.
We performed some simulations of pattern formation on regular grids, which provide an advantage in numerical simulation performance over the irregular environment of Cx3D.
In this simulation, performances of the proposed classifier in different modulations are compared to show the influence of the modulation.
In this simulation, performances of the proposed algorithm for the correct recognitions of five STBCs are compared.
In our simulations, performance reaches a plateau at a population size of a few hundred neurons, and is roughly comparable to the animals' behavioral performance over a broad range of pool sizes.
In simulation 1, we first evaluate performance in simulation under the null hypothesis H0, C (i.e., both H0, A and H0, B are true) and yet f (Y| Y ≤ τ ∩ X = 1) is radically different from f (Y| Y ≤ τ ∩ X = 0).
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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