Longitudinal and transverse 13C relaxation rates and heteronuclear NOE relaxation data were acquired and have been analyzed in the context of the Lipari and Szabo model-free formalism.

The CI for the adjusted net survival rates were obtained by calculating the exact binomial 95% CI from the adjusted numerator
and denominator and then inflating the CI by the design effect obtained from the data for the proportion of campaign nets in serviceable conditions.
This suggests that there is very little sequence dependence of
TOTO binding under conditions that would likely predominate in most biological
applications of this intercalating dye. This means that there is a strong preference for the (5′-CTAG-3′)2 site.
For oligonucleotide 8 we estimate that there is at least a 100-fold preference for binding to the (5′-CTAG-3′)2 site than to any other
site present in that oligonucleotide. The 1:1 complex
of TOTO with the oligonucleotide d(CCGCTAGCG):d (CGCTAGCGG) containing a CTAG:
CTAG binding site was similarly characterized by NMR.
The sample was kept in an NMR tube under nitrogen. For the calculation of sample size,
the following assumptions were made: alpha error of 0.05 (95% confidence intervals), beta error of 0.2
(power 80%), design effect of 1.75, non-response of 5% and an average of 1.8 nets received
per household that participated in the campaign.

We conclude thatthe Val268 nsP3 proteins (ts4) form only inactive nsPcomplexes
at 40°C. The Gly68 nsP3 proteins (ts138 andits recombinants) are
weakly active, reducing the efficiency with whichnew complexes form
or function; this in turn would limit accumulationof plus-strand RNA-synthesizing complexes and prevent rapid
increasesin the rate of plus-strand synthesis.
Even when extensive administrative data exist, some topics are best addressed by self-reports from service users
(7). For example, clients’ ratings would be preferable
to staff ratings of whether staff used shared decision making.
We followed this approach to enhance generalizability,
even though we could not ourselves use claims data to extract data on service use because
initially this research project was funded by federal
research dollars that precluded the sites from billing for services.

Rather, we relied on research staff to extract information from routine service logs
maintained by clinical staff and from specific fields in medical records (for example,
medication records). These questions were embedded in structured research
interviews that participants completed at six-month intervals after enrollment (1) and provided corroboration for
fidelity measurements obtained from program data.

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