Sentence examples for assignment experiments from inspiring English sources

Triple resonance assignment experiments and relaxation measurements provided information on the secondary structure and global fold of E1-TM in these environments.

Use of legitimate homologous recombination mechanisms in transfected B. bovis supports the future use of transfection methods for developing efficient gene function assignment experiments using gene knockout techniques.

A substantial literature attempts to identify nonexperimental methods that can replicate results of random assignment experiments (Heckman et al. 1999; Bloom et al. 2005; Mueser et al. 2007; Cook et al. 2008; Pirog et al. 2009).

Our analysis, which is consistent with findings of prior studies, including random assignment experiments (Orr et al. 1996), suggests that investing in the training of disadvantaged adults will generate returns that exceed costs to the public.

Rigorous evaluations using random assignment experiments of several financial incentive programmes, including the Minnesota Family Investment Program (MFIP), the New Hope Project, and the Canadian Self-Sufficiency Project (SSP) are remarkably consistent in demonstrating positive effects on economic outcomes (Michalopoulos et al. 2005).

Solution-state NMR assignment experiments could identify only a limited number of resonances in CXCR1.

The best method for inferring a causal effect of quality on child development is a random assignment experiment, but they are rare in the child care literature.

The Head Start Impact Study was initiated by the U.S. Congress in the 1990s to provide a test of program effects using a random assignment experiment.

The usefulness of this model reduction is to efficiently perform randomization tests to test the null hypothesis about karyotype effects in a randomized (i.e., random assignment) experiment [ 80].

Therefore, in the tissue typing assignment experiment, where Q1CT = 0.2167 and Q1TN = 0.2950, which were calculated using 6 GBM patients, were used as the parameters ρCT and ρTN, respectively.

The usefulness of this model reduction is obvious to efficiently perform randomization tests to test the null hypothesis about treatment effects in a randomized (i.e., random assignment) experiment [ 75].