Nanotechnology has continuously advanced with many tremendous promises to offer. The coming of nanorobots seems inevitable. Medical applications would be one of the first utilization of nanorobots. Nanorobot may becom...
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Nowadays, engineering graduates are required to work in an increasingly globalized world, where most large engineering projects currently require multi-national teams of multidisciplinary professionals to work togethe...
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This research examines U.S. electric utilities' transition from closed to open systems, while taking steps towards market orientation and subsequent changes in their product portfolios. It lists the reasons drivin...
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ISBN:
(纸本)9781618393616
This research examines U.S. electric utilities' transition from closed to open systems, while taking steps towards market orientation and subsequent changes in their product portfolios. It lists the reasons driving this change and includes a detailed analysis of the current product portfolios of the U.S. utilities focusing on adding more renewable energy sources. Copyright, American Society for engineering Management, 2011.
Microbial evolution is complex and is influenced by many sources of variation. Experimental evolution is no exception, although it is more controlled, easily replicated, and typically devoid of interactions between sp...
Microbial evolution is complex and is influenced by many sources of variation. Experimental evolution is no exception, although it is more controlled, easily replicated, and typically devoid of interactions between species. Mathematical modeling of the evolutionary process can help in understanding the underlying mechanisms that drive outcome of such experiments. These models can be complex and parameter rich, limiting their feasibility for statistical inference. In this paper, we introduce the use of Approximate Bayesian Computation (ABC) as a tool for statistical inference in the study of experimental evolution. ABC is a fast and simple method for fitting complex models to data. We utilize this method, coupled with a mechanistic model of experimental evolution, to study the evolution process of bacteriophage ϕ X174 under benign selection pressure. Our results highlight three mutation-selection scenarios that could explain this process: high mutation/low selection pressure, low mutation/high selection pressure, and low mutation/low selection pressure, with posterior support of 19%, 9.5%, and 71.5% for each of these scenarios, respectively. Sequence data support the first candidate. Though surprising, this scenario was not improbable based on our analysis.
In this work we study the role of fluorine for the selective suppression of porous silicon in localized SOI applications. The formation of porous silicon can be done selectively by controlling the Fermi level in areas...
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An FIR filter is implemented in this work. Enhancing the arithmetic operations of the filter is considered. For the addition operation, the signed-digit number system is utilized. For the multiplication operation, Boo...
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The Ray Tracing rendering algorithm can produce high-fidelity images of 3-D scenes, including shadow effects, as well as reflections and transparencies. This is currently done at a processing speed of at most 30 frame...
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Numerous genome-wide association studies (GWAS) have been performed in order to determine the susceptible loci of diseases. However, most diseases still cannot be explained by a single locus. Pathway-based methods add...
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