Kevin Chou

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Genetic footprinting was used to assess the phenotypic effects of Ty1 transposon insertions in 268 predicted genes of chromosome V of Saccharomyces cerevisiae. When seven selection protocols were used, Ty1 insertions in more than half the genes tested (157 of 268) were found to result in a detectable reduction in fitness. Results could not be obtained for(More)
In recently developed Additive Manufacturing (AM) technologies, high-energy sources have been used to fabricate metallic parts, in a layer by layer fashion, by sintering and/or melting metal powders. In particular, Electron Beam Additive Manufacturing (EBAM) utilizes a high-energy electron beam to melt and fuse metal powders to build solid parts. EBAM is(More)
Powder-based electron beam additive manufacturing (EBAM) has gained increased usage in different industries. Process monitoring such as temperatures may offer important information. However, temperature measurements in EBAM are challenging because of high temperature ranges, extreme gradients and fast transient response. In this study, temperature(More)
Quantum superpositions of distinct coherent states in a single-mode harmonic oscillator, known as "cat states," have been an elegant demonstration of Schrödinger's famous cat paradox. Here, we realize a two-mode cat state of electromagnetic fields in two microwave cavities bridged by a superconducting artificial atom, which can also be viewed as an(More)
In an early study, a thermal model has been developed, using finite element simulations, to study the temperature field and response in the electron beam additive manufacturing (EBAM) process, with an ability to simulate single pass scanning only. In this study, an investigation was focused on the initial thermal conditions, redesigned to analyze a critical(More)
similarity in fitness effects of interacting proteins was sufficient to explain the similarity in their rates of evolution. Path analysis based on the causal model shown in Fig. 3C indicated that the correlation between the fitness effects of interacting proteins contributes only slightly to the correlation between their evolutionary rates. Thus, similarity(More)
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