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Titlebook: Sinn-Management; Mehr Effizienz durch Karl-Otto Sünnemann,Stefan Oefner-Py,Hermann Lodde Book 1994 Betriebswirtschaftlicher Verlag Dr. Th.

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樓主: Truman
21#
發(fā)表于 2025-3-25 06:23:53 | 只看該作者
22#
發(fā)表于 2025-3-25 11:32:35 | 只看該作者
23#
發(fā)表于 2025-3-25 12:14:46 | 只看該作者
24#
發(fā)表于 2025-3-25 16:04:22 | 只看該作者
,Von Klassen und Schichten zu sozialen Lagen, Milieus und Lebensstilen — Von der Machtversessenheit cht und Herrschaft waren in den traditionellen Sozialstrukturanalysen, die noch versuchten, die Gliederung von Gesellschaften mittels ihrer Klassen- und Schichtstrukturen abzubilden, zentrale Ph?nomene. Seitdem Klassen- und Schichtungsans?tze als nicht mehr zeitgem?? gelten und an ihrer Stelle sozia
25#
發(fā)表于 2025-3-25 23:53:20 | 只看該作者
Concept formation and cognitive development oneself, is obviously central to children’s educational progress. No matter what subject is being studied, failure to understand what is required, or to identify and tackle the problems it involves, are obvious barriers to any real progress. Although they are fully aware of this, some teachers are
26#
發(fā)表于 2025-3-26 03:03:33 | 只看該作者
27#
發(fā)表于 2025-3-26 05:30:32 | 只看該作者
Computational Biology Problems,naturally leads to an exponential-size ILP model. We then turn to the study of a particular type of bipartite matching, called .. Alignments are used to compare either protein sequences or protein 3-dimensional structures. We describe two exponential-size models for this type of comparisons and their compact extended reformulation.
28#
發(fā)表于 2025-3-26 11:31:18 | 只看該作者
Free Scheduling of Tiles Based on the Transitive Closure of Dependence Graphsplemented in the open source TRACO compiler. Experimental results exposing the effectiveness of the introduced algorithm and speed-up of parallel programs, produced by means of this algorithm, are discussed.
29#
發(fā)表于 2025-3-26 16:00:45 | 只看該作者
Extracting Human Behavior Patterns from Appliance-level Power Consumption Datar’s current activity with an accuracy up to 98% as well as the user’s current place in a house with an accuracy up to 97%. Furthermore, our solution is capable of detecting anomalies in the energy consumption behavior. All this is mainly achieved with the energy consumption profile.
30#
發(fā)表于 2025-3-26 18:47:15 | 只看該作者
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