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  1. Book ; Online: Control Systems in Engineering and Optimization Techniques

    Balasubramaniam, P. / Thambiayya, Sathiyaraj / Ratnavelu, Kuru / Wang, JinRong

    2022  

    Keywords Automatic control engineering
    Language 0|e
    Size 1 electronic resource (138 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021612964
    ISBN 9781839697906 ; 1839697903
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Novel Implications of Exosomes in Diagnosis and Treatment of Cancer and Infectious Diseases

    Wang, Jin

    2017  

    Keywords Oncology ; biomarkers, extracellular vesicles, pathogenesis, multiple myeloma, liquid biopsy, endothelial cells
    Language English
    Size 1 electronic resource (192 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030646772
    ISBN 9789535147459 ; 9535147455
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Visible Light Communications

    Wang, Jin-Yuan

    2017  

    Keywords Applied optics ; energy efficiency, synchronization, spectral efficiency, snr, spatial multiplexing
    Language English
    Size 1 electronic resource (164 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030646112
    ISBN 9789535147299 ; 9535147293
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Snakebite envenomation: first aid and rescue network.

    Wang, Jin-Long

    Lancet (London, England)

    2024  Volume 403, Issue 10430, Page(s) 908

    MeSH term(s) Humans ; Snake Bites/therapy ; First Aid ; Antivenins/therapeutic use ; Retrospective Studies
    Chemical Substances Antivenins
    Language English
    Publishing date 2024-03-09
    Publishing country England
    Document type Letter
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(23)01362-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.5: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 94: Show issues

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  5. Book: Native macromolecule based 3D tissues repair

    Wang, Jin-Ye

    2014  

    Title variant Native macromolecule-based 3D tissues repair
    Author's details Jin-Ye Wang
    Keywords Tissue Engineering ; Polymers / therapeutic use
    Language English
    Size XIV, 313 S. : Ill.
    Publisher World Scientific
    Publishing place Hackensack, NJ u.a.
    Publishing country United States
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT018268726
    ISBN 978-981-4551-92-2 ; 981-4551-92-9
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2014 A 2396 available for loan (reading room) Lesesaal EG

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  6. Article: Mathematical Models for Cholera Dynamics-A Review.

    Wang, Jin

    Microorganisms

    2022  Volume 10, Issue 12

    Abstract: Cholera remains a significant public health burden in many countries and regions of the world, highlighting the need for a deeper understanding of the mechanisms associated with its transmission, spread, and control. Mathematical modeling offers a ... ...

    Abstract Cholera remains a significant public health burden in many countries and regions of the world, highlighting the need for a deeper understanding of the mechanisms associated with its transmission, spread, and control. Mathematical modeling offers a valuable research tool to investigate cholera dynamics and explore effective intervention strategies. In this article, we provide a review of the current state in the modeling studies of cholera. Starting from an introduction of basic cholera transmission models and their applications, we survey model extensions in several directions that include spatial and temporal heterogeneities, effects of disease control, impacts of human behavior, and multi-scale infection dynamics. We discuss some challenges and opportunities for future modeling efforts on cholera dynamics, and emphasize the importance of collaborations between different modeling groups and different disciplines in advancing this research area.
    Language English
    Publishing date 2022-11-29
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms10122358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The utilities and pitfalls of stratified analysis in challenging situations.

    Wang, Jin

    Pharmaceutical statistics

    2022  Volume 21, Issue 6, Page(s) 1114–1120

    Abstract: Stratified analysis is commonly used to control confounding factors in evaluating treatment effect at both design and analysis stages. Motivated by a real-life experience, this article illustrates the utilities and pitfalls of stratified analysis through ...

    Abstract Stratified analysis is commonly used to control confounding factors in evaluating treatment effect at both design and analysis stages. Motivated by a real-life experience, this article illustrates the utilities and pitfalls of stratified analysis through continuous and binary endpoints by comparing some typical analysis methodologies. Stratified analyses in some challenging situations, including propensity score stratification are discussed.
    MeSH term(s) Humans ; Propensity Score ; Statistics as Topic
    Language English
    Publishing date 2022-05-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2083706-9
    ISSN 1539-1612 ; 1539-1604
    ISSN (online) 1539-1612
    ISSN 1539-1604
    DOI 10.1002/pst.2232
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Advanced Catalytic Materials : Photocatalysis and Other Current Trends

    Enrique Norena, Luis / Wang, Jin-An

    2016  

    Keywords Spectrum analysis, spectrochemistry, mass spectrometry ; Solid state chemistry
    Size 1 electronic resource (498 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021049074
    ISBN 9789535150626 ; 9535150626
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  9. Article ; Online: Beautiful China, green Olympics.

    Wang, Jin-Nan

    Environmental science and ecotechnology

    2022  Volume 11, Page(s) 100182

    Language English
    Publishing date 2022-04-05
    Publishing country Netherlands
    Document type Editorial
    ISSN 2666-4984
    ISSN (online) 2666-4984
    DOI 10.1016/j.ese.2022.100182
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Distilling dynamical knowledge from stochastic reaction networks.

    Liu, Chuanbo / Wang, Jin

    Proceedings of the National Academy of Sciences of the United States of America

    2024  Volume 121, Issue 14, Page(s) e2317422121

    Abstract: Stochastic reaction networks are widely used in the modeling of stochastic systems across diverse domains such as biology, chemistry, physics, and ecology. However, the comprehension of the dynamic behaviors inherent in stochastic reaction networks is a ... ...

    Abstract Stochastic reaction networks are widely used in the modeling of stochastic systems across diverse domains such as biology, chemistry, physics, and ecology. However, the comprehension of the dynamic behaviors inherent in stochastic reaction networks is a formidable undertaking, primarily due to the exponential growth in the number of possible states or trajectories as the state space dimension increases. In this study, we introduce a knowledge distillation method based on reinforcement learning principles, aimed at compressing the dynamical knowledge encoded in stochastic reaction networks into a singular neural network construct. The trained neural network possesses the capability to accurately predict the state conditional joint probability distribution that corresponds to the given query contexts, when prompted with rate parameters, initial conditions, and time values. This obviates the need to track the dynamical process, enabling the direct estimation of normalized state and trajectory probabilities, without necessitating the integration over the complete state space. By applying our method to representative examples, we have observed a high degree of accuracy in both multimodal and high-dimensional systems. Additionally, the trained neural network can serve as a foundational model for developing efficient algorithms for parameter inference and trajectory ensemble generation. These results collectively underscore the efficacy of our approach as a universal means of distilling knowledge from stochastic reaction networks. Importantly, our methodology also spotlights the potential utility in harnessing a singular, pretrained, large-scale model to encapsulate the solution space underpinning a wide spectrum of stochastic dynamical systems.
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2317422121
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1148: 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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