As a result, we present a framework for explaining this intersection and an emergent theory of engineering-science integration.
The emphasis of the study is on fundamental understanding and advancing the underlying engineering sciences, integration of the physics and engineering requirements, and enhancing innovation for the chamber technology components surrounding the plasma.
Since there is large variability in biological data, we have built stochastic models, and simulations are run using the Gillespie algorithm [47] on the BASIS (Biology of Ageing e-Science Integration and Simulation) system [48], [49].
We chose to use the Biology of Ageing e-Science Integration and Simulation system (BASIS) [ 40, 41] to store the models, run simulations and store results.
Simulations are carried out on the BASIS (Biology of Ageing e-Science Integration and Simulation) system and the model output is compared to experimental data wherein levels of ubiquitin and ubiquitinated substrates are monitored in cultured cells under various conditions.
The model was imported into the BASIS (Biology of Ageing e-Science Integration and Simulation) system [ 39, 40] and simulations were carried out using a stochastic simulator based on the Gillespie algorithm [ 41].
The members of the committee identified four major areas of societal challenge where problem-focused research incorporating emerging theory, new technologies, fundamental findings from basic research in the life sciences, and integration into the life sciences of the physical sciences, mathematics, and engineering could enable biology to contribute to rapid progress in practical problem-solving.
The four main areas of advancement that I plan to investigate over the next decade are: Rapid science algorithm integration Researchers need to do a better job at rapidly and unobtrusively integrating scientific algorithms into Big Data production systems and workflow systems.
Furthermore grid systems needed stronger approaches for automated ingestion, for remote content acquisition and for science algorithm integration, unobtrusively and rapidly.
The other major research contribution I delivered based on the OODT CAS was the development of a software framework for rapid science algorithm integration.
This particular experience has helped to influence research agenda item (1) rapid and unobtrusive science algorithm integration described later in the Looking towards the future section of the paper.
