In this thesis, we investigated a sequential decision making problem. We tested
different policies for online portfolio optimization: for a given number of assets and
a time horizon, the weights on assets are rebalanced at every time step according to

The purpose of this thesis was to simultaneously test a new theoretical model,
vicarious hypocrisy, which has been shown to produce changes in people’s
sunblock usage attitudes and behavior, and to apply this model to another
important health domain, dental…

This research explores the metabolic role of the gut microbiota in the global
obesity crisis and rising threat of global warming. Enteric microbiota in the rumen emit
methane as a by-product of metabolite degradation. Experiments – primarily on mice –

Detecting and characterizing extrasolar planets has become a very relevant field in Astrophysics. There are several methods to achieve this, but by far the most difficult and potentially most rewarding approach is direct imaging of the planets. Coronagraphs can be…

In this dissertation I examine the conceptions of opinion (<italic>doxa</italic>}), knowledge (<italic>gnosis</italic>), and understanding (<italic>episteme</italic>) that are presented by the character Socrates in Plato's <italic>Meno</italic> and <italic>Republic</italic>. A central claim I make, and one that sets my interpretation apart from…

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Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

Although we represent other people in terms of both what they look like and how they behave, these two aspects of person knowledge have rarely been studied together. While vision scientists have focused on the processing of faces and bodies,…

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…