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Dynamic Modeling and Control in PBPK Models for Toxic Agents Electromagnetic Imaging and Active Stealth

机译:用于有毒物质电磁成像和主动隐身的pBpK模型的动态建模和控制

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This project had three major objectives: (i) the development or an inverse problem methodology (theoretical, statistical and computational) for parameter estimation in the presence of (model and data) uncertainty. Applications investigated include tissue dissipation of electromagnetic pulsed waves and molecular based models for polymers; (ii) the development of electromagnetic interrogation and anti-interrogation ('active stealth') methodologies. This includes research on use of moving acoustic interfaces as virtual 'mirrors' to reflect electromagnetic interrogation signals, development of polarization models to characterize complex composite materials, and development of stealth methodologies in an electromagnetic pursuit/evasion (two player, min-max game theoretic) framework. and (iii) development of molecular based models for hysteresis in polymers and models for electromagnetic/polymeric interactions. Triehloroethylenc (TCE) is a solvent that has been widely used in government (e.g.,USAF) and industrial projects as a metal-decreasing agent, and is now a common soil and groundwater contaminant. Numerous studies have linked TCE and several of its metabolites to short-term toxic health effects such as headaches, dizziness and drowsiness, as well as long-term effects including kidney, liver and lung tumors (see L).TCE is highly soluble in lipids, and is known to accumulate in the adipose (fat) tissue of hurnans and animals. This important characteristic of TCE has major implications on its dynamics inside the organs and tissues, and on the overall amount of time it takes for TCE to be eliminated from the body. Physiologically based pharmacokinetic (PBPK) models are used in the field of toxicology to describe the systemic transport behavior of compounds such as TCE.

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