Sentence examples for improving existing models from inspiring English sources

The video below (from Strategyzer.com) emphasizes that companies will need to have an organization that can do two things at the same time: executing and improving existing models and inventing — new and disruptive — business models.

First, Chinese are good at improving existing models, a different, more practical type of creativity, he wrote, adding that this practicality was noted by the British historian of Chinese science, Joseph Needham.

Therefore, defining the objective of analytics usually influences the result of the BDA process, especially when generating new theory, improving existing models, and assessing predictability of empirical phenomena.

In a first part of the paper, we fit a measure of backbone gene order conservation (hereinafter called backbone stability) against phylogenetic distance for over 3000 genome comparisons, improving existing models for the divergence in time of backbone stability.

Developing new models, and improving existing modeling approaches commonly used for predicting water-borne pathogen levels will likely to help in assessing pathogen contamination at watershed-scale.

The results described in this article represent an important step forward in explaining the temperature-dependent charge transport measurements observed in SAM-based and other single-molecule tunnelling junctions and hopefully help to improve existing models of charge transport.

Some progress has been made in producing integrated models of real abrasive processes, but much more could be done to improve existing models and develop new ones.

Today's advances in measurement, data acquisition and handling technologies provide a wealth of new data which can be used to improve existing models.

Papers providing new mathematical or theoretical models should indicate how they improve existing models or contribute to an understanding of some phenomenon in thermophysics.

Three of these are particularly facing epistemological pitfalls, those are generating new theory, improve existing models, and assess predictability of empirical phenomena.

Nevertheless, this step seems to be unavoidable to improve existing models and achieve greater realism, which is fundamental regarding the assessment of policy measures.