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In the second instance, we develop their notion of 'unbundling' to capture not just core changes in the organisation of infrastructure provision, but an overarching disjunction of the established nexus between networks, planning and social welfare in the city.
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For instance, we developed a drug called Tysabri, which is the single most effective drug for multiple sclerosis, and we invented that drug from absolute concept.
For instance, we developed the map and topic lists via iterative discussions prior to obtaining stakeholders' input, and without regard to ongoing systematic reviews, which may have influenced the range of the final list of topics that the stakeholders ranked.
Given the complexity of this problem for large-scale instances, we develop two fathoming rules to improve computational efficiency.
Since the problem is computationally intractable for realistic size instances, we develop an Adaptive Large Neighborhood Search ALNSS) algorithm, which can simultaneously handle the network design and line planning problems considering also rolling stock and personnel planning aspects.
Because the corresponding mixed-integer program proved too difficult to solve with commercial software for real instances, we developed a greedy randomized adaptive search procedure (GRASP) augmented with tabu search to provide solutions.
They have environmental analysis material on hand for instance, "If we develop a tranquilizer with such and such characteristics, it will capture X per cent of the market". They also have organized information inputs on the long-range needs in the health field (e.g., dermatology).
For instance, we must develop a financial plan for infrastructure, like repaving streets, and other public works projects.
In practice, such methods are very effective in reducing problem size; to handle the rare cases where the DEE techniques do not sufficiently prune the problem instance, we also develop a heuristic iterative scheme to eliminate sequence positions.
For instance, we've developed a District Leaderboard that helps our volunteers get a little friendly competition going to see who can register the most voters and raise the most money for candidates.
For instance, we have developed a data mining strategy for the specific purpose of analyzing blood transcriptional profiles [ 15].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com