Your English writing platform
Discover LudwigExact(4)
Interrelationships between measures obtained from these tasks were examined to test a general hypothesis about the role of neural entrainment in sensorimotor synchronization and a specific hypothesis concerning the role of endogenous entrainment in temporal prediction.
One of the most important measures obtained from these spheroids is the growth curve, i.e., the radius or volume of the spheroids as a function of time.
Furthermore, we hypothesised that measures obtained from these pathways would not be associated with performance on an equally difficult size oddity control condition, which is unaffected following damage to MTL (Buckley et al., 2001).
Dependent measures obtained from these tasks reflect distinct underlying concepts 5, which suggests that impulsivity is not a unitary construct 6. None the less, performance on each of these measures is associated with heavy drinking and alcoholism 7– 9 and with other substance use disorders 10.
Similar(56)
Measurements were compared to outcome measures obtained from the electronic medical record and trauma registry.
These distances were also compared with measures obtained from the output of the auditory model.
To discriminate between these interpretations, we created a composite of the DRT measures obtained from the IVIS-1 condition by taking the weighted average of the z-transformed RT and hit rate data.
The estimates obtained through the conceived model are 93% close to the respective measures obtained from the real hardware platform.
To simplify the explanation, one of the most widely used tests-TUG is illustrated as a representative example and measures obtained from this test are based on raw sensor data and gait pattern, their definitions are mentioned elsewhere24.
The estimates obtained from the model show that the proposed approach is indeed a good approximation to the respective measures obtained from the real hardware platform.
Results also demonstrate that measures obtained from the auditory spectrum were better predictors of perceptual ratings of breathiness than were commonly used acoustic spectral measures.
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