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Titlebook: Basics der Existenzgründung in der Kultur- und Kreativwirtschaft; Praxis Kulturmanagem Andrea Hausmann Book 2019 Springer Fachmedien Wiesba

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樓主: burgeon
21#
發(fā)表于 2025-3-25 03:31:08 | 只看該作者
22#
發(fā)表于 2025-3-25 08:02:04 | 只看該作者
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發(fā)表于 2025-3-25 15:23:38 | 只看該作者
24#
發(fā)表于 2025-3-25 16:07:57 | 只看該作者
Financing for Gender-Responsive Peacebuilding: Setting Financial Targets as a Tool for Increasing Wwomen, peace and security agenda. Although women’s participation in peacebuilding is widely acknowledged at the policy level to improve sustainability, funding patterns have yet to reflect the effectiveness of gender-responsive peacebuilding interventions. The chapter will explore the relationship b
25#
發(fā)表于 2025-3-25 20:08:16 | 只看該作者
26#
發(fā)表于 2025-3-26 03:04:06 | 只看該作者
The Potential of Membrane Technology for Treatment of Textile Wastewater,s that affect this sector considerably. However, in a global context in which water is becoming the twenty-first-century paragon, the choice of wasting water is not anymore acceptable. The textile industry is facing thus a double objective: to minimize drastically the water consumption while using w
27#
發(fā)表于 2025-3-26 07:24:18 | 只看該作者
Conference proceedings 2015eld as part of the 17th International Conference on Human-Computer Interaction, HCII 2015, held in Los Angeles, CA, USA, in August 2015, jointly with 15 other thematically conferences. The total of 1462 papers and 246 posters presented at the HCII 2015 conferences were carefully reviewed and selecte
28#
發(fā)表于 2025-3-26 11:00:37 | 只看該作者
Science as Training for Autonomye of the promotion thus need not be lovers of any of the three domains. They have to be independent of mind, however, and able to decide for themselves. In the received jargon, they should be autonomous. This idea clashes with the view that there is an obligation to endorse science — or art, or anything else. This move is thus revolutionary.
29#
發(fā)表于 2025-3-26 15:11:04 | 只看該作者
30#
發(fā)表于 2025-3-26 17:30:30 | 只看該作者
Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?assification problems where domain knowledge can be exploited. What we observe is that the automatic application does not help to improve classification performance and that we cannot explain the improvement of other time series classification algorithms over the baseline classifiers simply as a function of the absence of smoothing.
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