This dissertation, based on roughly eighteen months of fieldwork in two laboratories at Princeton University, examines how practitioners of synthetic biology orient themselves vis-à-vis organic systems, by both engaging with and displacing biological knowledge. It also explores experimental methods in…

Academic-industry partnerships in biomedical research come in many forms, but
those that occur around clinical research are the most prominent. Researchers at academic
medical centers have historically conducted a large proportion of industry-sponsored
clinical trials, as they alone had the…

This dissertation investigates the relation between Mies van der Rohe and cinema. Its purpose is to elucidate, both historically and theoretically, the association between the architect Mies and the pioneers of abstract film Hans Richter and Viking Eggeling during the…

Similarity search systems are designed to help









people to organize multimedia non-text data and find valuable









information. The multimedia data intrinsically has…

Since China’s opening up in 1978, internal migration from rural villages to cities has
accelerated on a scale unprecedented in history. Though China now boasts over 262 million
migrant workers who are discriminated against under China’s household registration (
hukou)…

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,…

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…

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…

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