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Titlebook: Russia and the World Trade Organization; Peter Naray Book 2001 Palgrave Macmillan, a division of Macmillan Publishers Limited 2001 Eastern

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21#
發(fā)表于 2025-3-25 06:49:03 | 只看該作者
22#
發(fā)表于 2025-3-25 08:55:18 | 只看該作者
,Outlook for Russia’s WTO Accession, the realm of utopias. A successful economic transition needs further efforts from Russia and co-operation, understanding and support from the rest of the world, but first of all a great deal of patience.
23#
發(fā)表于 2025-3-25 13:10:41 | 只看該作者
24#
發(fā)表于 2025-3-25 16:05:55 | 只看該作者
, Peter Naray gives an analysis of the Russian economic and social crisis and comes to the conclusion that this crisis is responsible for the delay of Russia‘s accession to the World Trade Organization (WTO). The author criticizes the approach taken in Russian reforms because the country‘s historica
25#
發(fā)表于 2025-3-25 20:59:36 | 只看該作者
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26#
發(fā)表于 2025-3-26 01:09:51 | 只看該作者
https://doi.org/10.1057/9780230596184Eastern Europe; Europe; World Trade Organization; WTO; russian and post-soviet politics
27#
發(fā)表于 2025-3-26 06:19:08 | 只看該作者
Palgrave Macmillan, a division of Macmillan Publishers Limited 2001
28#
發(fā)表于 2025-3-26 11:22:16 | 只看該作者
Some Games Logic Playsependence-friendly’) logics of Hintikka. I will show how both GTS and IF logics may be pushed into new directions by seizing the notion of a semantic game by means of the theory of games. I will conclude with some ensuing issues bordering on the interplay between C.S. Peirce’s pragmaticism and the s
29#
發(fā)表于 2025-3-26 16:42:19 | 只看該作者
Ein deutsch-schweizerischer Vergleich von Motiven (potenziell) Freiwilliger?ngigkeit von der Freiwilligenorganisation voneinander? Das vorliegende Kapitel widmet sich diesen Kontextfragen bezüglich der Motive von Freiwilligenarbeit. Dazu wird der sog. funktionale Ansatz, eine etablierte Theorie über die Motive Freiwilliger, um eine soziale Gerechtigkeitsfunktion erweitert.
30#
發(fā)表于 2025-3-26 20:00:50 | 只看該作者
A Self-training Approach for Few-Shot Named Entity Recognitionswering, text summarization, and machine translation. In recent years, deep-learning based methods achieve great performance in the NER task. It often demands a huge amount of data to train models. However, it is very expensive to collect sufficient training data in many real-world applications. Thu
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