Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Spatiotemporal Model"”.
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Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus
… of Caulobacter, we have developed a mathematical model of the cell cycle regulatory network. Our reaction-diffusion models provide additional insight into specific mechanism regulating different aspects of the cell cycle. We describe a molecular mechanism by which the bifunctional histidine kinase …
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Multiscale spatio-temporal modeling of cell population in tissue architecture and drug delivery nanoparticles
… the fundamental physiological property make the model difficult and computationally challenging. The multiscale modeling approach can bridge the gap between different scale by a systemic integration of the complex dynamic behavior.</p><p>Here, the focus is on developing multiscale modeling …
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Topics in Bayesian Spatiotemporal Prediction of Environmental Exposure
<p>We address predictive modeling for spatial and spatiotemporal modeling in a variety of settings. First, we discuss spatial and spatiotemporal data and corresponding model types used in later chapters. Specifically, we discuss Markov random fields, Gaussian processes, and Bayesian inference. …
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Motion modeling and video processing
… work, our primary focus is on quantitatively modeling the relationships between elements of the motion field at spatial neighborhoods of pixels and in filtering of motion. These are accomplished by generalizing popular techniques in statistical signal processing--autoregressive (AR) models and …
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Stochastic Modeling and Simulation of Multiscale Biochemical Systems
Numerous challenges arise in modeling and simulation as biochemical networks are discovered with increasing complexities and unknown mechanisms. With the improvement in experimental techniques, biologists are able to quantify genes and proteins and their dynamics in a single cell, which calls for …
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Dynamic textures: models and applications
… challenges, especially for traditional motion models that fail to capture the stochastic nature of dynamic textures. Despite their importance, the study of dynamic textures has just recently attracted the attention of the computer vision community. Most recent work on dynamic texture modeling …
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Bayesian Factor Models for Clustering and Spatiotemporal Analysis
… significant analytical challenges. Factor models can offer an effective tool to address issues associated with large-scale datasets. In this dissertation, we propose two novel Bayesian factors models. These models are designed to effectively reduce the dimensionality of the data, as the …
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Geostatistical spatiotemporal modelling with application to the western king prawn of the Shark Bay managed prawn fishery
… methodology has been employed in the modelling of spatiotemporal data from various scientific fields by viewing the data as realisations of space-time random functions. Traditional geostatistics aims to model the spatial variability of a process so, in order to incorporate a time …
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Modelling the spatial and temporal distribution of Bacillus anthracis suitability across Uganda and Kenya: A Bayesian Approach
Modelling the spatial and temporal distribution of Bacillus anthracis suitability across Uganda and Kenya: A Bayesian Approach Valentina Awino Ndolo Anthrax disease, caused by Bacillus anthracis, poses a significant global disease burden, leading to sporadic outbreaks across a variety of climatic …
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Cultivating Lost Land: Livelihood and Depopulation on São Jorge Island, Azores
… perceptions of land and landscape, now exploring models of masculinity and the violent potential of ideals of agrarian cultivation that take shape in relation to experience of ‘lost’ land as uncontrollable environmental change. Chapter Six explores the Holy Ghost Festival (*Festa do Espírito …
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Mathematical Model of the Cell Cycle Control and Asymmetry Development in Caulobacter crescentus
… of dimorphic lifestyle, Caulobacter becomes a model bacterium to study the cell differentiation, signalling transduction, stress response, and asymmetry development of prokaryotes. The dimorphic cell cycle of Caulobacter is driven by the elaborate spatiotemporal organization of regulatory …
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Fine Particulate Matter, Neuropathologies, & Dementia
… exposure information based on a newly developed spatiotemporal model as well as research quality diagnosis data. We estimated that a 1 ug/m3 increase in 10-year moving average of PM2.5 was associated with a 1.16 (1.03, 1.31) increase in the hazard of all-cause dementia. Results from secondary …
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Bayesian hierarchical approaches to analyze spatiotemporal dynamics of fish populations
The study of spatiotemporal dynamics of fish populations is important for both stock assessment and fishery management. I explored the impacts of environmental and anthropogenic factors on spatiotemporal patterns of fish populations, and contributed to stock assessment and management by …