Sentence examples for fine experiments from inspiring English sources

Leibniz told Huygens that he was "astonished" that Boyle "who has so many fine experiments, [had] not come to some theory of chemistry after meditating so long on them.

Most importantly, however, this model is the first one to predict that, and explain why, visuospatial memory cells are found in prefrontal areas (as well as in inferior temporal cortex), as a range of fine experiments unambiguously demonstrated (Funahashi, Bruce, & Goldman-Rakic, 1989; Fuster, 1990; Kojima & Goldman-Rakic, 1982; Miyashita & Chang, 1988).

It is a fine experiment if magazines tell readers about advertiser involvement, he said, which StyleWatch arguably does not.

It's a fine experiment, even if this year's highest-profile examples were both duds and left without any prizes: "Lawless," a dreary Virginia moonshine tale from the Australian director John Hillcoat, and "Killing Them Softly," a gleeful shoot-em-up with Brad Pitt from the New Zealander Andrew Dominik.

Additional fine mapping experiments are underway to determine the functional relationship between qTGW6 and GW5 in controlling seed development.

Sub-picosecond extended X-ray absorption fine structure experiments can now be designed with the suitable probing samples and geometry.

The structure and local atomic structure of the film can be explored by surface X-ray diffraction and extended X-ray absorption fine structure experiments, respectively.

Future fine mapping experiments can be designed to randomize the influences of any contaminating donor alleles and environmental differences, as well as test for maternal genotype effects.

Our novel congenic development approach on MMU2 provided confirmation of QTL- hg interactions, which will significantly aid in future fine mapping experiments.

However, fine mapping experiments of the chromosome 16p locus have shown multiple association signals clustering in several regions [ 8, 12], suggesting more than one gene may be involved in the increased risk of SLE.

Predictive multi-scale models; Feedback mechanisms to prompt new data generation (remote observations and measurements); Methods for integrated interaction between data, parameters, models and visualized results ("fine tuning" experiments, computational steering); New approaches for decision support when model outcomes result in various scenarios.