It's offering more detailed look at podcasting metrics and listening habits, with more complex insights into how users are actually listening.
However, in both cases, the intent is to carry out predictive modeling with increasingly empirical inputs, which not only provide greater and more complex insights into the operations of EDs, but feed into the improvement of the ABMs and QMs themselves.
Even though the properties at the levels of development and physiology manifest in more complex ways, their insights can be related to the principles of robustness and modularity.
While current methods are well established, recent approaches, though more complex, provide further insight through their ability to model dependency.
Tears are as universal (but less culturally contingent) as laughter, and tragedy is more complex than joy — an insight Tolstoy and many others have offered.
We believe these results are general and can be applied to more complex ion channels, providing insight into ion channel stability and assembly.
Though they are much simpler than the classical insight problems, they do share the key properties of these problems, thus calling for the involvement of similar cognitive processes in solving more complex and information-rich insight problems [45].
In the application to SGA data, the more complex model reveals more insight into the contribution of genetic factors to this condition.
Up to now, at least 11,680 SNPs have been robustly associated with one or more complex traits, providing biological insight in traits as different as Alzheimer's disease, prostate cancer, inflammatory bowel disease, obesity, stroke, diabetes, asthma, height, cholesterol levels and bone mineral density, to name only few examples of the successful performance of this approach [ 2].
This creates a new demographic category, "the enterprise consumer", for whom not only technology but all of life has grown more complex.Hark, the vendorsContrast these insights with the technological visions that the industry is currently peddling.
While empirical process development techniques will continue to play an important role in addressing these challenges, approaches based on mechanistic understanding are likely to be more impactful for solving the more complex multidimensional problems by providing insights into the interplays between the cell line, bioprocess, and product quality.
