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Titlebook: Der Privatisierungsproze? in Ru?land; Peter Claudy Textbook 1995 Springer Fachmedien Wiesbaden 1995 Deregulierung.Privatisierung.Transform

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樓主: microbe
21#
發(fā)表于 2025-3-25 06:02:29 | 只看該作者
Einleitung,den und Immobilien bleibt dabei ausgeklammert. Bisher bestand in dieser Frage gro?e rechtliche Unklarheit. Die das neue Privatisierungsprogramm 1994 erg?nzenden Hauptbestimmungen r?umen den bisherigen P?chtern von Geb?uden und Grundstücken nun grunds?tzlich das Recht ein, diese zu erwerben. und damit auch als Sicherheit zu verwenden.
22#
發(fā)表于 2025-3-25 09:09:47 | 只看該作者
23#
發(fā)表于 2025-3-25 13:59:05 | 只看該作者
24#
發(fā)表于 2025-3-25 19:41:31 | 只看該作者
Cryptographic and Physical Zero-Knowledge Proof: From Sudoku to Nonogram,rocedures are so simple that they can be executed solely by kids. In this paper, we work along with this direction, and first propose some simple physical zero-knowledge proofs for Nonogram (which was a very popular puzzle game in the 1990s).
25#
發(fā)表于 2025-3-25 21:38:08 | 只看該作者
26#
發(fā)表于 2025-3-26 03:30:22 | 只看該作者
Neotropical Riverine Cichlids: Adaptive Radiation and Macroevolution at Continental Scales,evolutionary diversification. Cichlinae’s great morphological, ecological, and behavioral diversity is concentrated in the tribes Geophagini, Heroini, and Cichlasomatini. Feeding and swimming morphology broadly fit two gradients of ecomorphological differentiation: An “elongation axis” follows a ram
27#
發(fā)表于 2025-3-26 07:45:58 | 只看該作者
28#
發(fā)表于 2025-3-26 12:17:33 | 只看該作者
29#
發(fā)表于 2025-3-26 14:34:24 | 只看該作者
Control of Axially Moving Systemsa multitude of variables. This chapter offers an overview of contributing factors to knee OA as well as those affecting postoperative outcomes as a framework for preoperative optimization and patient education.
30#
發(fā)表于 2025-3-26 17:51:16 | 只看該作者
Face Recognition Based on Deep Learning and HSV Color Spacer proposed system achieves high accurate detection rate. The proposed method improves the accuracy of existing face recognition systems by 2.15% in terms of the detection rate under our dataset and the Kaggle dataset. The proposed method obtained the detection rate of 96.25% on the custom dataset.
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