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This paper presents the development work on an optimisation model for disassembly sequence using the genetic algorithms (GA) approach.
This paper presents a methodology to develop a model for disassembly of the coolant channels in Pressurized Heavy Water Reactors under severe accident conditions.
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In this paper, algorithms are presented in order to determine the best disassembly sequence for a sub-assembly and a system life-cycle model for disassembly-assembly line design.
The different models for disassembly stem in part from the fact that biochemical assays measure what happens to the majority of particles, most of which do not successfully infect the cell, whereas genetic analyses can be focused on the infectious particles only, for example, by reading out infection through GFP expression [ 4].
We propose a model for ciliary disassembly involving two distinct decision points: 1) whether and when to disassemble the cilium, and 2) by which mechanism to disassemble the cilium.
To achieve the goal, this study introduces a new 'disassembly sequence structure graph' (DSSG) model for multiple-target selective disassembly sequence planning, an approach for creating DSSGs, and methods for searching DSSGs.
In late 2010, it embarked on a design for disassembly initiative for its Duplo chassis models.
The model provides an approach for evaluating the design alternatives for Design for Disassembly and Design for Remanufacturing.
We have previously described the dynamics of SF disassembly with a deterministic model using first-order reaction kinetics in which the rate parameter for disassembly depended on the deviation of SF stretch from the prestretch value [13].
Model for septin recruitment, ring formation and disassembly.
This figure represents a working model for mechanosensitive actin filament assembly and disassembly of stress fibers, and in our opinion provides the most likely explanation for the data presented in our manuscript and earlier publications.
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