In more general terms, experimental research on animals shows that low-level, non-linear exposures to endocrine disruptor chemicals (EDCs) lead to both transient and permanent changes to endocrine systems, as EDCs can mimic, compete with, or disrupt the synthesis of endogenous hormones [20, 43, 44].
There are a couple of striking features of this example that may point to a more general characterization of experimental mathematics.
The review opens with a more general discussion of experimental designs in glycoproteomics and sample preparation prior to LC MS/MS based data acquisition.
Our analysis has allowed us to provide more general context to experimental characterization of the COPII coat, in model systems, to a wide range eukaryotes.
This modeling flexibility is necessary in QTL studies and gives a more general approach applicable to a wide range of experimental designs.
The experimental data were interpreted using the more general structural model, published previously.
Additional experimental data are required to draw more general conclusions, specifically regarding the accuracy of this model.
Our experimental study on cane toads supported this more general result.
When dealing with imperfect systems or with experimental data, we may need to consider more general notions of cohesive subgroups.
However, in some specific scenarios, the tails of those fading distributions do not properly fit the experimental measured data, which demands the use of more general channel distributions.
