In modern nuclear data libraries (e.g. JEFF, ENDF/B or JENDL) no correlations for fission yields (FY) are provided, so in the present work we propose a covariance generation methodology which yielded reasonable results for application-relevant thermal and fast neutron-induced fission product yields.
Their exact values are obtained through the model fits which yield reasonable estimates for these parameters (Protocol S2 and Table 2).
We had already carried out an interobserver study, which yielded reasonable intra-rater and inter-rater reliability, in accordance with results by others.
In brief, step-wise modeling for exploratory analyses combined the SABRE VOIs for each of the four major lobes (frontal, parietal, temporal, and occipital) which yielded reasonable associations for our VOIs.
If we take the relevance criterion to be purity, and combine that with the relevant consequence schema above, we have Burger and Heidema's proposal, which yields a reasonable set intuitive judgments like those above.
Generally it should be selected by running simulations for a variety of time block values and determining which yields the most biologically reasonable activity-level changes for a known protein.
Moreover, we use a multiplicity of three which yields a decoder with a reasonable trade-off of error tolerance and decoding time, i.e. less than a second [71].
Simulations were carried out with periodic boundary conditions at fixed peptide concentration of 5 mg/ml (the simulation box side was set to 98, 96 and 95 Å for Aβ14 20, Aβ16 22, and Aβ18 24, respectively), using Langevin integrator at low friction constant (0.15 ps) and at a temperature of 330 K, which yields reversible aggregation within a reasonable computational time.
The general idea consists in reducing the SNR offset through a neighborhood study which yields a near-ML performance for a reasonable K.
Take Wachovia, which yields 5%.
