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A Development Of Transfer Entropy In Continuous-Time, Christopher David Edgar
A Development Of Transfer Entropy In Continuous-Time, Christopher David Edgar
Theses and Dissertations
The quantification of causal relationships between time series data is a fundamen- tal problem in fields including neuroscience, social networking, finance, and machine learning. Amongst the various means of measuring such relationships, information- theoretic approaches are a rapidly developing area in concert with other methods. One such approach is to make use of the notion of transfer entropy (TE). Broadly speaking, TE is an information-theoretic measure of information transfer between two stochastic processes. Schreiber’s 2001 definition of TE characterizes information transfer as an informational divergence between conditional probability mass func- tions. The original definition is native to discrete-time stochastic processes …
Development Of A High-Resolution Spatial Heterodyne Libs Spectrometer, Kevin A. Dudley
Development Of A High-Resolution Spatial Heterodyne Libs Spectrometer, Kevin A. Dudley
Theses and Dissertations
Laser-Induced Breakdown Spectroscopy (LIBS) is an atomic emission technique that uses a pulse laser to ablate a sample and form a plasma. Atomic emissions from the plasma provide unique elemental characteristics regarding the composition of the sample. The technique produces valuable qualitative results, but the accuracy of quantitative analyses is hindered by spectral line broadening mechanisms and laser pulse reproducibility, among other factors. The Spatial Heterodyne Spectrometer (SHS) is a high-resolution spectrometer with very high light throughput, and its use to LIBS is currently limited to two peer-reviewed publications. In the following work a high resolution SHS is developed and …
The Development Of Novel Hybridized Hyaluronic Acid Biomaterials For Applications In Tissue Engineering And Controlled Drug Delivery, Panita Maturavongsadit
The Development Of Novel Hybridized Hyaluronic Acid Biomaterials For Applications In Tissue Engineering And Controlled Drug Delivery, Panita Maturavongsadit
Theses and Dissertations
This thesis is focused on the development of novel hybridized biomaterials for applications in tissue engineering and controlled drug delivery. Two types of materials used in my research are biopolymers and nanomaterials. Hyaluronic acid (HA), a natural polymer commonly found in extracellular matrix (ECM), was the primary polymer used in my research due to biocompatibility, biodegradability and the ease of manipulation to offer a wide range of physical and mechanical properties. Meanwhile, the nanomaterials, including Tobacco mosaic virus (TMV), gold nanorods and graphene, provide attractive properties, such as a nanoscale topography, biochemistry, high surface area, and special chemical and electrical …
Development And Application Of Bayesian Semiparametric Models For Dependent Data, Junshu Bao
Development And Application Of Bayesian Semiparametric Models For Dependent Data, Junshu Bao
Theses and Dissertations
Dependent data are very common in many research fields, such as medicine (repeated measures), finance (time series), traffic (clustered), etc. Effective control/modeling of the dependency among data can enhance the performance of the models and result in better prediction. In many cases, the correlation itself may be of great interest. In this dissertation, we develop novel Bayesian semi-/nonparametric regression models to analyze data with various dependence structures. In Chapter 2, a Bayesian non- parametric multivariate ordinal regression model is proposed to fit drinking behavior survey data from DWI offenders. The responses are two-dimensional ordinal data, drinking frequency and drinking quantity …
Development Of Protein-Polymer Core-Shell Nanoparticles (Ppcs-Nps) As Efficient Vehicles To Deliver Therapeutic Agents Across Blood Brain Barrier (Bbb), Napat Tandikul
Theses and Dissertations
Blood Brain Barrier (BBB) plays a main role as selective barrier which controls and limits access of chemicals, molecules and therapeutic agents from blood to brain. The BBB endothelial cells are connected by Tight Junctions (TJs) which close intracellular spaces between the endothelial cells and block the free diffusion of substances, therefore many potential drugs for treating human brain diseases cannot reach the brain in sufficient concentration. Recently, many studies have thrown an interest in development of nanoparticles for delivering drugs and imaging agents across BBB. Our research group has developed protein-polymer core-shell nanoparticles (PPCS-NPs) which demonstrate great potential for …
Development Of Reactions And Methods For Labeling Biomolecules In Cells, Enoch Agbesi Adogla
Development Of Reactions And Methods For Labeling Biomolecules In Cells, Enoch Agbesi Adogla
Theses and Dissertations
The complexity of cellular environments presents a challenge to efforts at studying and elucidating biomolecules in cells. Covalent ligation of biomolecules with fluorescent molecules that have a reactive functional group that can react with a complementary functional group on biomolecules is one way that has been utilized to study biomolecules. It enables visualization and tracking of ligation and transportation of molecules within the cell. However, the myriad of functional groups within the cell makes achieving selectivity difficult. To circumvent this problem, reactions that do not interfere with biology have been developed. These reactions, referred to as bioorthogonal reactions must be …
The Development Of Efficient Geminal-Based Methods For Quantum Chemical Calculations, Brett Allen Cagg
The Development Of Efficient Geminal-Based Methods For Quantum Chemical Calculations, Brett Allen Cagg
Theses and Dissertations
Incorporation of electron correlation to improve the accuracy of computations remains a driving force in quantum chemical method development. Traditionally, electron correlation effects are divided into static and dynamic correlation parts, and the inclusion of both results in methods that are impractical for large chemical systems. The goal of this doctoral research is to develop a method that efficiently accounts for both components of electron correlation in a separate but balanced manner. The approach focuses on combining a geminal method, called the antisymmetrized product of singlet-type, strongly orthogonal geminals (SSG), with dynamic correlation by either density functionals or a recently …