Sulfoxide-ligand exchange (SLE) and asymmetric halogen-metal exchange (AHME) processes were separately examined for the enantioselective synthesis of functionalized alpha-haloalkylmetal (carbenoid) reagents. Carbenoids derived from SLE were used to effect stereospecific reagent-controlled homologation (StReCH) of boronic esters and those generated via AHME were engaged in Darzens-type chemistry with aldehydes.
Abstract for...
This study investigates methods of multivariate regression analysis and their applications to biological data. It provides an overview of methods of reduced rank regression and sparse multivariate regression, including their motivations, methods, and applications. It also implements a form of sparse regression known as Regularized Multivariate Regression for Identifying Master...
Agent-based models (ABM) are widely used in network data analysis, and due to their simple structures and sophisticated outcomes, they serve as good tools in understanding the dynamics in networks. In this thesis, we develop an agent-based dynamic network model, and show that it can replicate the expected degree distribution...
Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
There are many uncertainties that complex engineered systems will face throughout their lifecycles due to changes in internal and external conditions. It is desirable for complex engineered systems to be resilient against various uncertainties. The ability to overcome such uncertainties should be embedded into the system from the beginning. However,...
Recent changes in the historiography of American Transcendentalism
have inspired a reappraisal of the relationship between the Transcendentalist
movement in New England and the pietistic wing of the Unitarian church. This
thesis explores this reappraisal through a close reading of selected writings by
Henry Ware Jr. in juxtaposition to the...
Anomaly detection is the task of identifying observations (points) that differ from the majority of other points, which requires some measure of difference, or distance. Many anomaly detection methods rely on “implicit distance” measures: rather than directly calculating an explicitly defined distance, these approaches quantify a point’s “abnormality” by examining...
Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...
Adequate access to financial markets is crucial for healthy communities. Some communities within the United States have historically been excluded from financial markets due to factors of geographic isolation or racial discrimination. The mechanism behind households and individuals lacking access to financial products and services is due to credit rationing...