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RISS 인기검색어
- 검색키워드
- 저자 : Le Yang (검색결과 2 건)
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Customizing uEngine: An Open Source Business Process Management System
There is no doubt that Business Process Management (BPM) has added tremendous value to organizations in virtually every industry. By utilizing Business Process Management Systems (BPMS), organizations can streamline and automate tasks, reduce turnaround time, and help ensure regulatory compliance. The foremost considerations when enterprises deploy BPM solutions involve supportive system functions, friendly Graphical User Interfaces (GUI) and maximal Return on Investment (ROI), based on the specific processes required, organizational management, and working style of their particular business environment. In order to address the problems associated with BPMS customization, for the flexible coverage of various requirements, this thesis takes a three step approach. First, a generic roadmap of BPMS is presented by explaining some essential conceptions associated with BPM. Then, a comprehensive introduction of uEngine, an open source BPMS which supports flexible customization, is provided. Finally, application programming interface (API)-based and component-based customization in building a BPM application utilizing uEngine is introduced with illustrative examples.
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Energetics and dynamics of actin filament bundling and escape from potential wells
Yang, Le Washington University in St. Louis 2007 해외박사(DDOD)
We develop a new Brownian-dynamics method to simulate the dynamic motion of semiflexible biopolymer filaments and simulate the energetics and dynamics of actin filament bundling using this method. The method is based on a normal mode analysis. It allows us to describe the motion of a semiflexible filament using just the first few modes, which requires much less calculation time than earlier "bead-spring" models, in which the position of a large number of points along the filament are tracked over time. We use a Green's function method to simulate the dynamics. Since the Green's function is accurate for large timesteps, we save a great deal of calculation time by using a variable time-step. We find that the bundling time is very sensitive to the distance between filaments and the filaments' length. It is also related to the strength of the crosslinkers that cause the bundling. Our simulation results show that spontaneous crosslinking from a network is a plausible way to form bundles. To develop a simple formula for the bundling time, we analyse the first contact time for a particle in N-dimensional potential well to a patch on a spherical boundary. We extend this result to treat the first contact time between two particles, and finally two actin filaments. Since the first contact time is close to the bundling time if the interaction between filament and the crosslinkers is strong, we can use our theory to estimate the bundling time for strongly interacting filaments. Our theory can also be applied to other dynamic processes in biology, which involve motion of more than one reaction coordinate, such as protein folding and aggregation.
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