The development of mechanistic surface complexation models for bacteria provides an opportunity to develop advanced biotic ligand models which are similar to traditional biotic ligand models but which incorporate the mechanistic approach of surface complexation modeling to quantify metal adsorption.
Apolipoprotein E-deficient (apoE-/) C57BL/6 (B6) mice are established models of atherosclerosis that develop advanced atherosclerotic lesions when kept on a high fat diet [ 14].
This will increase the need to develop advanced model-based control systems that are able to maintain the dynamic operability of CO2 capture plants in the presence of operational constraints and disturbances.
This paper is the first to report the potential value of imaging RAGE expression in atheroma throughout the vascular tree in a large animal model genetically altered to develop advanced atherosclerotic lesions similar in morphology to human disease [[8],[10]-[13]].
Duke CEE faculty members are engaged in a wide range of efforts to improve the resilience of engineered structures, develop advanced computer models of complex natural phenomena and investigate approaches to predicting, monitoring and managing human impacts on air, water, land and global cycles--and environmental effects on human health.
At a global chemical manufacturer, the IT function has a highly educated team of fewer than 20 statisticians, operations research professionals, and PhDs to develop advanced demand forecasting models, supply chain operational optimization, and raw materials for purchasing-decision support.
The results provide valuable insights into the characteristics of the turbulent pipe flow of a solvent containing drag reducing polymers that can be used to further our understanding of the role of polymers on the mechanism of drag reduction and to develop advanced drag reduction models.
MathModelica allows users to develop advanced multi-engineering models in a simple drag and drop interface and includes a large number of built-in base models for engineering domains, including electrical, mechanical, and thermal, as well as for areas like biochemical modeling.
Recent advances in technologies of signal processing and mathematical models have made it practical to develop advanced EMG detection and analysis techniques.
Importantly, lahar numerical modelling approaches require further research to develop advanced methods capable of representing entrainment, deposition and flow transformations typical of lahars.
