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For the most accurate activation of cells, researchers still have to insert fiber optics into a mouse's brain through the skull.
We obtained the parameter of pADSCs with 1.5 M glycerol at 32 °C and determined the accurate activation energies of glycerol permeability and the referent of glycerol permeability.
Because of the different bias variance trade-offs of univariate and multivariate models, it may be necessary to consider a consensus approach to obtain more accurate activation patterns in fMRI data.
These methods provide reliable and accurate activation patterns when stimulus duration corresponds well to brain activation (typical in most sensory and motor tasks).
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A new, accurate, neutron activation detection scheme for measuring pulsed neutrons has been designed and tested.
The spatial and numerical (i.e., overlapping between two reconstructions up to 93%; Dice's coefficient up to 0.86 [ Custo et al., 2010]) results concluded that accurate cortical activation locations can be obtained by fNIRS and 3D DOT when using an atlas-based head model to guide image reconstruction.
Based on the comparative study, we conclude that our newly developed, brain atlas-guided, GLM-based 3D DOT reconstruction algorithm should lead to more accurate brain activation maps with better spatial and depth resolution as well as with stronger statistical analysis reliability as compared to the FWHM-derived method.
Depending on which model turns out to be accurate, var gene activation would occur before segregation from the repressive cluster or segregation would be a precondition for activation.
The accurate estimation of activation forces remains a significant challenge in the field of injury prediction and simulation in sports.
Higher-level QM methods provide more accurate calculations of activation barriers, but their computational cost prohibits MD sampling.
These complexes would provide a cytoskeletal platform that regulates the accurate clustering and activation of β2-integrins [4], facilitating their function [34].
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