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  1. Book ; Online: The Medieval Constitution of Liberty

    Salter, Alexander William / Young, Andrew T

    Political Foundations of Liberalism in the West

    2023  

    Keywords Politics & government ; Constitution: government & the state ; European history ; Political Science ; European Studies ; History
    Language English
    Size 1 Online-Ressource
    Publisher University of Michigan Press
    Document type Book ; Online
    Note English
    HBZ-ID HT030612269
    ISBN 9780472076017 ; 0472076019
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Open Data in Developing Economies : Toward Building an Evidence Base on What Works and How

    Verhulst, Stefaan G. / Young, Andrew

    2017  

    Keywords Computing & information technology ; open data ; open government data ; impact ; developing world ; Developing country ; Open data
    Size 1 electronic resource (284 pages)
    Publisher African Minds
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021030945
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Open Data in Developing Economies: Toward Building an Evidence Base on What Works and How

    Verhulst, Stefaan G. / Young, Andrew

    2017  

    Keywords developing world ; impact ; open data ; open government data
    Size 1 electronic resource (284 pages)
    Publisher African Minds
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021051147
    ISBN 9781928331599 ; 1928331599
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Tempering the tension between science and intuition.

    Shtulman, Andrew / Young, Andrew G

    Cognition

    2023  Volume 243, Page(s) 105680

    Abstract: Scientific ideas can be difficult to access if they contradict earlier-developed intuitive theories; counterintuitive scientific statements like "bubbles have weight" are verified more slowly and less accurately than closely-matched intuitive statements ... ...

    Abstract Scientific ideas can be difficult to access if they contradict earlier-developed intuitive theories; counterintuitive scientific statements like "bubbles have weight" are verified more slowly and less accurately than closely-matched intuitive statements like "bricks have weight" (Shtulman & Valcarcel, 2012). Here, we investigate how context and instruction influences this conflict. In Study 1, college undergraduates (n = 100) verified scientific statements interspersed with images intended to prime either a scientific interpretation of the statements or an intuitive one. Participants primed with scientific images verified counterintuitive statements more accurately, but no more quickly, than those primed with intuitive images. In Study 2, college undergraduates (n = 138) received instruction that affirmed the scientific aspects of the target domain and refuted common misconceptions. Instruction increased the accuracy of participants' responses to counterintuitive statements but not the speed of their responses. Collectively, these findings indicate that scientific interpretations of a domain can be prioritized over intuitive ones but the conflict between science and intuition cannot be eliminated altogether.
    MeSH term(s) Humans ; Intuition ; Science
    Language English
    Publishing date 2023-12-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1499940-7
    ISSN 1873-7838 ; 0010-0277
    ISSN (online) 1873-7838
    ISSN 0010-0277
    DOI 10.1016/j.cognition.2023.105680
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Machine Learning and Artificial Intelligence in Surgical Research.

    Srinivas, Shruthi / Young, Andrew J

    The Surgical clinics of North America

    2023  Volume 103, Issue 2, Page(s) 299–316

    Abstract: Machine learning, a subtype of artificial intelligence, is an emerging field of surgical research dedicated to predictive modeling. From its inception, machine learning has been of interest in medical and surgical research. Built on traditional research ... ...

    Abstract Machine learning, a subtype of artificial intelligence, is an emerging field of surgical research dedicated to predictive modeling. From its inception, machine learning has been of interest in medical and surgical research. Built on traditional research metrics for optimal success, avenues of research include diagnostics, prognosis, operative timing, and surgical education, in a variety of surgical subspecialties. Machine learning represents an exciting and developing future in the world of surgical research that will not only allow for more personalized and comprehensive medical care.
    MeSH term(s) Humans ; Artificial Intelligence ; Machine Learning
    Language English
    Publishing date 2023-01-24
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 215713-5
    ISSN 1558-3171 ; 0039-6109
    ISSN (online) 1558-3171
    ISSN 0039-6109
    DOI 10.1016/j.suc.2022.11.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.75: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: A conversation with ChatGPT.

    Young, Andrew M / Teman, Nicholas R

    The Journal of thoracic and cardiovascular surgery

    2023  Volume 166, Issue 5, Page(s) e465–e466

    Language English
    Publishing date 2023-07-03
    Publishing country United States
    Document type Letter
    ZDB-ID 3104-5
    ISSN 1097-685X ; 0022-5223
    ISSN (online) 1097-685X
    ISSN 0022-5223
    DOI 10.1016/j.jtcvs.2023.05.038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.104: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  7. Article ; Online: Future Directions in Atrial Fibrillation Prophylaxis and Risk Stratification.

    Young, Andrew M / Strobel, Raymond J / Martin, Linda W

    The Annals of thoracic surgery

    2024  

    Language English
    Publishing date 2024-01-23
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 211007-6
    ISSN 1552-6259 ; 0003-4975
    ISSN (online) 1552-6259
    ISSN 0003-4975
    DOI 10.1016/j.athoracsur.2024.01.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 252: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Book: Amylin

    Young, Andrew

    physiology and pharmacology

    (Advances in pharmacology ; 52)

    2005  

    Author's details by Andrew Young
    Series title Advances in pharmacology ; 52
    Collection
    Keywords Amylin ; Pharmakologie
    Subject IAPP ; Islet amyloid polypeptide ; Arzneimittellehre ; Arzneimittelwirkung ; Arzneiwirkung ; Experimentelle Pharmakologie
    Language English
    Size XIII, 341, [4] S. : Ill., graph. Darst.
    Publisher Elsevier Academic Press
    Publishing place Amsterdam u.a.
    Publishing country Netherlands
    Document type Book
    Note Literaturangaben
    HBZ-ID HT014663455
    ISBN 978-0-12-032954-0 ; 0-12-032954-9
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Uf I Zs 171 -52- verfügbar in Königswinter Königswinter

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  9. Article ; Online: Identifying and addressing data asymmetries so as to enable (better) science.

    Verhulst, Stefaan / Young, Andrew

    Frontiers in big data

    2022  Volume 5, Page(s) 888384

    Abstract: As a society, we need to become more sophisticated in assessing and addressing data asymmetries-and their resulting political and economic power inequalities-particularly in the realm of open science, research, and development. This article seeks to ... ...

    Abstract As a society, we need to become more sophisticated in assessing and addressing data asymmetries-and their resulting political and economic power inequalities-particularly in the realm of open science, research, and development. This article seeks to start filling the analytical gap regarding data asymmetries globally, with a specific focus on the asymmetrical availability of privately-held data for open science, and a look at current efforts to address these data asymmetries. It provides a taxonomy of asymmetries, as well as both their societal and institutional impacts. Moreover, this contribution outlines a set of solutions that could provide a toolbox for open science practitioners and data demand-side actors that stand to benefit from increased access to data. The concept of data liquidity (and portability) is explored at length in connection with efforts to generate an ecosystem of responsible data exchanges. We also examine how data holders and demand-side actors are experimenting with new and emerging operational models and governance frameworks for purpose-driven, cross-sector data collaboratives that connect previously siloed datasets. Key solutions discussed include professionalizing and re-imagining data steward roles and functions (i.e., individuals or groups who are tasked with managing data and their ethical and responsible reuse within organizations). We present these solutions through case studies on notable efforts to address science data asymmetries. We examine these cases using a repurposable analytical framework that could inform future research. We conclude with recommended actions that could support the creation of an evidence base on work to address data asymmetries and unlock the public value of greater science data liquidity and responsible reuse.
    Language English
    Publishing date 2022-07-18
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2624-909X
    ISSN (online) 2624-909X
    DOI 10.3389/fdata.2022.888384
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A first impression of the future.

    Sutherland, Clare A M / Young, Andrew W

    British journal of psychology (London, England : 1953)

    2023  Volume 114, Issue 4, Page(s) 773–777

    Abstract: We offer a response to six commentaries on our target article 'Understanding trait impressions from faces'. A broad consensus emerged with authors emphasizing the importance of increasing the diversity of faces and participants, integrating research on ... ...

    Abstract We offer a response to six commentaries on our target article 'Understanding trait impressions from faces'. A broad consensus emerged with authors emphasizing the importance of increasing the diversity of faces and participants, integrating research on impressions beyond the face, and continuing to develop methods needed for data-driven approaches. We propose future directions for the field based on these themes.
    MeSH term(s) Humans ; Social Perception ; Facial Expression ; Attitude
    Language English
    Publishing date 2023-04-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 220659-6
    ISSN 2044-8295
    ISSN (online) 2044-8295
    DOI 10.1111/bjop.12652
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui I Zs.237: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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