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  • 1
    ISBN: 9783662438688
    Language: English
    Pages: Online-Ressource (XIX, 393 p, online resource)
    Series Statement: Munich Studies on Innovation and Competition 2
    Series Statement: SpringerLink
    Series Statement: Bücher
    Series Statement: Springer eBook Collection
    Series Statement: Humanities, Social Sciences and Law
    Parallel Title: Erscheint auch als Weinreich-Zhao, Tingting, 1982 - Chinese merger control law
    Keywords: Law ; China ; Fusionskontrolle ; Wettbewerbspolitik ; Industriepolitik ; Auslandsinvestition ; Wettbewerbsrecht ; Rechtsprechung
    Abstract: On 1 August 2008, the Chinese Anti-Monopoly Law entered into force, introducing a comprehensive framework for competition law to the Chinese market. One set of the new rules pertains to merger control. China’s Ministry of Commerce (MOFCOM) was nominated as the authority responsible for enforcing merger control in China, and has been actively doing so ever since. Recent years have established China as one of the most important merger filing jurisdictions for cross-border mergers alongside the EU and USA. This work evaluates the Chinese merger control law regime and MOFCOM’s decision-making practice after more than five years of application. In particular, it assesses which policy goals (competition policy goals or industrial policy considerations) prevail in the written law and its application, and provides suggestions for a further improvement of the law - with the aim to develop a transparent merger control regime that promotes long-term economic growth in China
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 2
    Article
    Article
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    In:  Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs Vol. 166 (2015), p. 31-41
    ISSN: 0378-8741
    Language: English
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 166 (2015), p. 31-41
    DDC: 610
    Abstract: Chaihuang-Yishen formula (CHYS) is a Chinese herbal formula that has been shown clinically to effectively treat chronic kidney disease including diabetic nephropathy (DN), also known as diabetic kidney disease. Our previous animal studies showed that numerous intrarenal metabolites were associated with the development of DN. In the present work, an integrated metabolomic and lipidomic analysis was used to further examine whether CHYS could attenuate the development of DN by regulating the disordered metabolic pathways. Progressive diabetic kidney disease was induced in Wistar rats by uninephrectomy and a single intraperitoneal injection of streptozocin. Over 20 weeks, one group of animals was treated with CHYS and another group went untreated. Effects of CHYS on metabolomic and lipidomic changes in the renal cortex of diabetic rats were studied using gas chromatography/time-of-flight mass spectrometry, ultra-performance liquid chromatography/time-of-flight mass spectrometry, and tandem MS-based metabolomic and lipidomic. The well-established drug fosinopril was used as positive control throughout the experiment. Like fosinopril, treatment with CHYS produced a renoprotective effect against DN. Metabolomic and lipidomic analyses showed that the therapeutic effect of CHYS on DN was significantly associated with inhibition of the elevated organic toxins including several uremic toxins and glucuronides, and normalization of diminished phospholipids, especially sphingomyelins. Improved abnormal metabolic and lipidomic disorders, such as accumulation of uremic toxins and glucuronides and phospholipids, may be mechanisms by which treatment of CHYS inhibits DN. Results from this study provide new evidence for the pharmacologic characteristics of CHYS on DN.
    Note: Copyright: Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
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  • 3
    ISSN: 0378-8741
    Language: Undetermined
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 151, No. 1 (2014), p. 556-564
    DDC: 610
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  • 4
    ISBN: 9781803569512 , 9781803569505 , 9781803569529
    Language: Undetermined
    Pages: 1 Online-Ressource (130 p.)
    Series Statement: Artificial Intelligence 18
    Keywords: Machine learning ; internet of things ; security ; segmentation ; medical imaging ; abdomen
    Abstract: Deep learning and reinforcement learning are some of the most important and exciting research fields today. With the emergence of new network structures and algorithms such as convolutional neural networks, recurrent neural networks, and self-attention models, these technologies have gained widespread attention and applications in fields such as natural language processing, medical image analysis, and Internet of Things (IoT) device recognition. This book, Deep Learning and Reinforcement Learning examines the latest research achievements of these technologies and provides a reference for researchers, engineers, students, and other interested readers. It helps readers understand the opportunities and challenges faced by deep learning and reinforcement learning and how to address them, thus improving the research and application capabilities of these technologies in related fields
    Note: English
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