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Titlebook: Evaluation von Technologiepolitik in Deutschland; Konzepte, Anwendung, Stefan Kuhlmann,Doris Holland Book 1995 Physica-Verlag Heidelberg 19

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21#
發(fā)表于 2025-3-25 04:04:55 | 只看該作者
,Ausl?ndische Fallstudien, authority in the U.S. system should support a similarly decentralized and uncoordinated evaluation activity; Canada’s parliamentary system, coupled with its much smaller size, would be expected to support a much more centralized evaluation activity.
22#
發(fā)表于 2025-3-25 10:23:09 | 只看該作者
,Extension of Karmarkar’s Algorithm for Solving an Optimization Problem, cally, if the input data represents a complicated discrete/continuous quantity of information, of “shape” S (S could mean, for example, that we have a “monotone/convex” collection of data), then one desires to represent it by the less-complicated output information, that “approximates well” the inp
23#
發(fā)表于 2025-3-25 11:47:19 | 只看該作者
24#
發(fā)表于 2025-3-25 17:29:02 | 只看該作者
25#
發(fā)表于 2025-3-25 21:59:38 | 只看該作者
,“Down the Toilet”: Spatial Politics and Young Children’s Participation, including their political understandings, feelings, and orientations. In this chapter, a particular preschool in rural Australia is understood as a political space that (re)produces those relations that are part of the democratic society in which it is situated. Through the multiple “stories” told
26#
發(fā)表于 2025-3-26 01:41:08 | 只看該作者
,The Ewald–Oseen Extinction Theorem and the Extended Boundary Condition Method,relations . and .. During the formulation, four dyadic Green functions were set up and their characteristics elucidated. The Ewald–Oseen extinction theorem has been exploited to set up the conceptual framework of the extended boundary condition method (EBCM) for scattering by a three-dimensional obj
27#
發(fā)表于 2025-3-26 07:49:32 | 只看該作者
28#
發(fā)表于 2025-3-26 09:25:41 | 只看該作者
29#
發(fā)表于 2025-3-26 15:00:19 | 只看該作者
30#
發(fā)表于 2025-3-26 19:28:53 | 只看該作者
Research of Improved Genetic Algorithm for Resource Allocation in Space-based Information Network adaptive method to design improved genetic algorithm, the advantages and disadvantages are analyzed and simulated. The simulation result indicated the algorithm has good result in improving effectiveness and timeliness of network resource scheduling.
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