Now showing items 181-186 of 186
Probabilistic identification and discrimination of deep space objects via astrometric and photometric data fusion
In this dissertation two problems are studied in detail; shape estimation and space object classification. The progress made towards addressing these space situational awareness problems is discussed in this dissertation ...
A Probabilistic Reasoning Approach for Constructing Underground Water Maps with Varying Local Hydraulic Conductivity
The ability to design and efficiently employ groundwater distribution models plays an important role in the development and application of regional water management policies and resource exploration. This paper presents a ...
Glycopeptide probes of PSGL-1 to study site-specific glycosylation and stem cell homing function
This dissertation represents an effort to develop tools to study the glycosylation of a mucinous protein called P-selectin glycoprotein ligand-1 (PSGL-1). This protein is a key adhesion molecule in inflammation and immunity. ...
TLR2 Signaling and Th2 Responses Drive Tannerella forsythia -Induced Periodontal Bone Loss
Periodontal disease (PD) is a multifactorial chronic inflammatory disease that is triggered by the colonization and invasion of periodontopathic bacteria, particularly by a select group of Gram-negative anaerobes. Foremost ...
A multi-criteria policy set optimization framework for large scale simulation models
Simulation modeling is a common analysis approach for large and complex systems. The policy set optimization (PSO) problem is the process of selecting a small subset of inputs of the simulation model to modify from their ...
Hydrogen generation using silicon nanoparticles and their mixtures with alkali metal hydrides
Hydrogen is a promising energy carrier, for use in fuel cells, engines, and turbines for transportation or mobile applications. Hydrogen is desirable as an energy carrier, because its oxidation by air releases substantial ...