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Logsum accessibility can easily be used to derive accessibility benefits by population segment, but estimating spatial and mode-specific accessibility effects is not straightforward as zones/postcodes and modes are endogenous choice variables in mode/destination logit models [33].
The first shows results from a global perspective and the second analyses the spatial distribution of changes in accessibility derived from the daily variation in network speeds.
There are numerous benefits which can be derived from them; accessibility, flexible core technologies, platform independency and compatibility are some of them.
The average fractional accessibility derived from MFold results is about 3 4% greater than that predicted by RNAFold or SFold.
While MFold-derived accessibility scores may not be completely optimal, they have been used with reasonable success to predict accessibility in the siRNA targeting context, and so we use MFold here.
It is derived from the arrival accessibility level, and shows the ease with which people can operate within the pipe layout.
In the previous sections, we derived volumetric measures of accessibility, wherein at each voxel of the image domain the maximal radius of a diffusing particle was computed.
Accessibility was derived from the locations of cases and controls on the maps on the following scale: 1 = Track or dead end road.
Finally a measure of health care accessibility was derived by calculating the travel time from each postcode to the nearest GP.
The geographical data include accessibility measures derived using geographical information systems indicating the distance from each person's residential postal code to their allocated site for screening.
Accessibility scores derived from MFold predictions have been used in limited studies of RNA structure focused on hammerhead ribozymes[ 30], antisense and siRNA targeting [ 22, 31] and have been shown to be predictive in cases where some experimental measure of accessibility has been made[ 32].
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