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  • 1
    Online Resource
    Online Resource
    Rate of Return Regulation and Emission Permits Trading under Uncertainty (2015)
    Washington, D.C : The World Bank
    Details
    UID:
    b3kat_BV048269676
    Format: 1 Online-Ressource (31 p)
    Series Statement: World Bank E-Library Archive
    Content: This paper analyzes the dynamic effects of rate-of-return regulation on firms'emissions compliance behavior when the price of emissions permits is uncertain. The paper shows that uncertainty regarding the price of permits would motivate a regulated firm to adopt a more self-sufficient strategy and would reduce the cost-effectiveness of emission allowance trading. When allowance transactions are treated as capital investments, uncertainty could reverse the classic Averch-Johnson effect, so that a regulated firm would purchase fewer permits in the ex ante period than its unregulated counterpart. These results are driven by the asymmetric impact of a price change on the expected marginal value of allowances under rate-of-return regulation. A wider variation in the permit price and a decline in the regulated rate of return would amplify the asymmetry. These results have implications for the efficiency of the proposed global carbon trading system
    Additional Edition: Erscheint auch als Druck-Ausgabe Zhang, Fan Rate of Return Regulation and Emission Permits Trading under Uncertainty Washington, D.C : The World Bank, 2015
    Language: English
    DOI: 10.1596/1813-9450-7343
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
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    Stabi Berlin
    UB Potsdam
    EUV Frankfurt
    HTW Berlin
    MPI Bildungsforschung
  • 2
    Online Resource
    Online Resource
    Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications : 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 (2020)
    Cham : Springer International Publishing | Cham : Springer
    Details
    UID:
    b3kat_BV046747526
    Format: 1 Online-Ressource (XXIV, 701 p. 321 illus., 198 illus. in color)
    Edition: 1st ed. 2020
    ISBN: 9783030485139
    Series Statement: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 322
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-48512-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-48514-6
    Language: English
    Keywords: Cloud Computing ; Intelligentes Stromnetz ; Kryptologie ; Electronic Commerce
    DOI: 10.1007/978-3-030-48513-9
    URL: Volltext  (URL des Erstveröffentlichers)
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    FU Berlin
    HTW Berlin
    BTU Cottbus
  • 3
    Book
    Book
    Black immigration and ethnicity in the United States : an annotated bibliography (1985)
    Westport, Conn. [u.a.] : Greenwood Press
    Details
    UID:
    gbv_272851558
    Format: XI, 170 S , 25 cm
    ISBN: 0313243662
    Series Statement: Bibliographies and indexes in Afro-American and African studies 2
    Language: English
    Subjects: General works
    RVK:
    AD 91500
    Keywords: USA ; Schwarze ; Bibliographie ; Bibliografie
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  • 4
    Online Resource
    Online Resource
    Security and Privacy for Modern Wireless Communication Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    gbv_1869167899
    Format: 1 Online-Ressource (308 p.)
    ISBN: 9783036582283 , 9783036582290
    Content: The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power-constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks
    Note: English
    Language: Undetermined
    URL: kostenfrei
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    Online Resource
    Stabi Berlin
    UB Potsdam
  • 5
    Online Resource
    Online Resource
    Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases (2020)
    [Erscheinungsort nicht ermittelbar] : Frontiers Media SA
    Details
    UID:
    gbv_179458188X
    Format: 1 Online-Ressource (234 p.)
    ISBN: 9782889662746
    Content: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
    Note: English
    Language: English
    URL: kostenfrei
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    Stabi Berlin
    UB Potsdam
  • 6
    Online Resource
    Online Resource
    Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine (2020)
    [Erscheinungsort nicht ermittelbar] : Frontiers Media SA
    Details
    UID:
    gbv_1794542086
    Format: 1 Online-Ressource (393 p.)
    ISBN: 9782889635542
    Content: Precision medicine is being developed as a preventative, diagnostic and treatment tool to combat complex human diseases in a personalized manner. By utilizing high-throughput technologies, dynamic ‘omics data including genetics, epi-genetics and even meta-genomics has produced temporal-spatial big biological datasets which can be associated with individual genotypes underlying pathogen progressive phenotypes. It is therefore necessary to investigate how to integrate these multi-scale ‘omics datasets to distinguish the novel individual-specific disease causes from conventional cohort-common disease causes. Currently, machine learning plays an important role in biological and biomedical research, especially in the analysis of big ‘omics data. However, in contrast to traditional big social data, ‘omics datasets are currently always “small-sample-high-dimension”, which causes overwhelming application problems and also introduces new challenges: (1) Big ‘omics datasets can be extremely unbalanced, due to the difficulty of obtaining enough positive samples of such rare mutations or rare diseases; (2) A large number of machine learning models are “black box,” which is enough to apply in social applications. However, in biological or biomedical fields, knowledge of the molecular mechanisms underlying any disease or biological study is necessary to deepen our understanding; (3) The genotype-phenotype association is a “white clue” captured in conventional big data studies. But identification of “causality” rather than association would be more helpful for physicians or biologists, as this can be used to determine an experimental target as the subject of future research. Therefore, to simultaneously improve the phenotype discrimination and genotype interpretability for complex diseases, it is necessary: To design and implement new machine learning technologies to integrate prior-knowledge with new ‘omics datasets to provide transferable learning methods by combining multiple sources of data; To develop new network-based theories and methods to balance the trade-off between accuracy and interpretability of machine learning in biomedical and biological domains; To enhance the causality inference on “small-sample high dimension” data to capture the personalized causal relationship
    Note: English
    Language: English
    URL: kostenfrei
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    Stabi Berlin
    UB Potsdam
  • 7
    Online Resource
    Online Resource
    Epigenetics : regulation and new perspectives (2023)
    London : IntechOpen
    Details
    UID:
    b3kat_BV049498091
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    ISBN: 9781837683956 , 9781837683949
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-83768-393-2
    Language: English
    DOI: 10.5772/intechopen.104312
    URL: Volltext  (kostenfrei)
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    Fulltext
    HTW Berlin
    TH Wildau
  • 8
    Book
    Book
    Tang Huang yu shi ji : 8 juan (1936)
    Shang hai : Shang wu yin shu guan
    Details
    UID:
    b3kat_BV044516930
    Format: 108, 56 Seiten
    Original writing title: 唐黃御史集 : 8卷
    Original writing publisher: 上海 : 商務印書館
    Series Statement: Si bu cong kan chu bian suo ben 171
    Note: Abweichende Titel: Huang yu shi gong ji. - Tang Huang yu shi gong ji. - Tang Huang xian sheng wen ji , "Suo yin Min xian Li shi Guan jin zhai cang Ming kan ben" (Tang Huang yu shi ji). - "Suo yin Chang shu Qu shi cang Song shu peng ben" (Jia yi ji) , Chinesisch (Langzeichen)
    Additional Edition: Jia yi ji : 10 juan
    Language: Chinese
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  • 9
    Book
    Book
    yuan shi ji shi ben mo (1887)
    廣雅書局 刻
    Details
    UID:
    gbv_3371334945
    Format: 綫裝 3 冊 (1函) , 28,7 cm, 版框 20,9 x 14,8 cm, 10行 , 行20字 , 白口 , 四周單邊 , 單魚尾 , 版心上題《元史紀事本末》 , 中題卷次 , 下題頁碼
    Edition: 刻本
    Original writing title: 元史紀事本末 27卷
    Original writing person/organisation: 陳邦瞻
    Note: 扉頁題「元史紀事本末二十七卷」，牌記題「光緒十三年十二月廣雅書局刻」; 卷1末題《番禺陳慶修初校 / 番禺黃濤覆校 》 , 出版年據扉頁 , 出版者據扉頁 , Biblioteka Jagiellońska, Kraków
    Additional Edition: Digitalisierte Ausg. [Teildigitalisat] 陳邦瞻: 元史紀事本末 27卷
    Language: Chinese
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  • 10
    Online Resource
    Online Resource
    Huang yu shi ji (1782)
    北京 : 四庫全書館 | Bei jing : Si ku quan shu guan
    Details
    UID:
    gbv_1750465779
    Edition: Wen yuan ge, si ku quan shu ben
    Edition: Online-Ausgabe Taiwan Gaiki Tabaitai Kôshi 2014 1 Online-Ressource
    Edition: Japan (日本)凱希多媒體公司
    Edition: 台灣
    Edition: 日本
    Original writing edition: 文淵閣 四庫全書本
    Original writing title: 黄御史集
    Original writing person/organisation: 黄滔
    Series Statement: Si ku quan shu
    Note: Pinyin-Umschrift wurde automatisiert erstellt
    Language: Chinese
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
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    Stabi Berlin
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