Strong research designs are most straightforward where a single independent variable can be introduced in controlled conditions to observe its effect, if any, on the dependent variable to test the conjectured causal relationship.
To know whether a problem was decidable, one would need a Turing machine that could examine any algorithm, like the one for testing the Goldbach conjecture, and determine whether it would eventually halt.
To test the above conjecture, we developed an in vitro assay to assess the capacity of recombinant PfSUB1 (rPfSUB1) to convert MSP1, MSP6 and MSP7 precursors to species resembling those on naturally released mature merozoites.
Egas et al. [ 17] tested this conjecture in computer simulations that determined the probability of CI spread in random mating populations of different sizes (and hence subject to varying levels of genetic drift).
We tested this conjecture with a corresponding simulation, which revealed that only the combined model with product inhibition and substrate competition matches the experimental observations.
In order to test this conjecture, the glucokinase level is raised fourfold after the insulin failure is detected.
We tested this conjecture in two ways.
We tested this conjecture by assessing pCA diffusion directly: we measured uptake of pCA by uninjected Xenopus laevis oocytes.
We test this conjecture in the home appliances industry using a sample of 864 employees (283 ideas) and 239 users (66 ideas).
To test this conjecture, we examined the distribution of possible stable stem structures inside the large introns of vertebrates and invertebrates.
To test this conjecture, we mutated the Pho4 binding site at UASp2.
