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  • 1
    Online Resource
    Online Resource
    Bei jing
    UID:
    gbv_1676839747
    Format: 1 Online-Ressource
    Original writing title: 中国企业发展报告(1990-2000年)
    Original writing person/organisation: 刘小玄
    Original writing publisher: 北京 : 社会科学文献出版社
    ISBN: 7801494652
    Content: 本书共分十五章,内容有:不同所有制和不同规模等级的企业分布,中央级的国有大型企业,隶属于省地级政府的国有企业,红筹股企业和窗口公司等。
    Note: 电子文献 , Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt
    Language: Chinese
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1676862153
    Format: 1 Online-Ressource
    Original writing title: 转轨过程中的民营化
    Original writing person/organisation: 刘小玄
    Original writing publisher: 北京 : 社会科学文献出版社
    ISBN: 7801907159
    Series Statement: Jing ji yan jiu wen ku ·24
    Content: 本书是作者在2000~2003这三年多来对于国有企业民营化问题所做的研究考察课题的总结。书中包括了对于民营化问题所做的理论分析,还包括了来自于实践考察的许多第一手资料。全书的重要宗旨在于尽可能客观地反映历史变迁和发展的轨迹,至少,书中从经济学的角度和一定社会范围来表现和描述这段民营化的过程。无论人们如何评判,存在多少争议,首先我们要知道事实是什么,知道在中国转轨过程中曾经经历的这个阶段。
    Note: 电子文献 , Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt
    Language: Chinese
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_1676847928
    Format: 1 Online-Ressource
    Original writing title: 金融市场化的演进
    Original writing person/organisation: 刘小玄
    Original writing publisher: 北京 : 社会科学文献出版社
    ISBN: 9787509737446
    Content: 本书由中国社会科学院的专家学者们通过对江苏、河南、广东、山西、四川、内蒙古、上海、浙江8个省、区、市最基层的企业、社区、乡镇及村庄进行采访和座谈,掌握了大量第一手资料,从中发现了许多不同于传统银行的制度创新和行为创新鲜活案例,以及不同于传统金融组织的新兴金融组织,而撰写的课题报告,这为全国即将展开的金融市场改革实践提供了最为宝贵的理论和政策依据。
    Note: 电子文献 , Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt
    Language: Chinese
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almafu_(DE-604)BV049780111
    Format: 300 Seiten.
    ISBN: 9780443194115 , 0443194114
    Content: An Introduction to Artificial Intelligence for Clinicians: A Practical Guide to Clinical AI for Healthcare Professionals addresses the rapidly expanding field of clinical artificial intelligence and the potential it holds for healthcare professionals and their patients. It enables readers to create their own deep learning project and build a model using code-free deep learning. It also provides them with a comprehensive overview of the statistics used in clinical AI and methods to critically appraise clinical AI papers. By equipping clinicians with education and skills they can use in the present world of clinical AI, they are better positioned for the future arrival of artificial intelligence into day-to-day patient care. To ensure the broad relevance of this book, the editors also draw on a yet unpublished qualitative evidence synthesis of stakeholder experiences of AI implementation across all healthcare contexts worldwide, which empowers readers to see how clinical AI could benefit patients in their own context and to inspire others to affect change. It is a valuable resource for clinicians, students, researchers, healthcare professionals and members of medical and biomedical fields who are interested to learn more about artificial intelligence applied to clinical setting and healthcare
    Language: English
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