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  1. Article ; Conference proceedings: Immunmodulatorischer Einfluss wundsekret-aktivierter mesenchymaler Stammzellen auf mononukleäre Zellen des peripheren Blutes

    Moratin, Helena / Mache, Isabel / Herrmann, Marietta / Meyer, Till / Hackenberg, Stephan / Scherzad, Agmal

    Laryngo-Rhino-Otologie

    2024  Volume 103, Issue S 02

    Event/congress 95. Jahresversammlung Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V., Bonn, Messe Essen, 2024-05-08
    Language German
    Publishing date 2024-04-19
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 96005-6
    ISSN 1438-8685 ; 0935-8943 ; 0340-1588
    ISSN (online) 1438-8685
    ISSN 0935-8943 ; 0340-1588
    DOI 10.1055/s-0044-1784008
    Database Thieme publisher's database

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    In stock of ZB MED Cologne/Königswinter

    Ul II Zs.95: 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)

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  2. Article ; Conference proceedings: Immunomodulatory properties of wound fluid-activated mesenchymal stem cells on peripheral blood mononuclear cells

    Moratin, Helena / Mache, Isabel / Herrmann, Marietta / Meyer, Till / Hackenberg, Stephan / Scherzad, Agmal

    Laryngo-Rhino-Otologie

    2024  Volume 103, Issue S 02

    Event/congress 95th Annual Meeting German Society of Oto-Rhino-Laryngology, Head and Neck Surgery e. V., Bonn, Messe Essen, 2024-05-08
    Language English
    Publishing date 2024-04-19
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 96005-6
    ISSN 1438-8685 ; 0935-8943 ; 0340-1588
    ISSN (online) 1438-8685
    ISSN 0935-8943 ; 0340-1588
    DOI 10.1055/s-0044-1784562
    Database Thieme publisher's database

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    In stock of ZB MED Cologne/Königswinter

    Ul II Zs.95: 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)

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  3. Article ; Online: Why COVID-19 models should incorporate the network of social interactions.

    Herrmann, Helena A / Schwartz, Jean-Marc

    Physical biology

    2020  Volume 17, Issue 6, Page(s) 65008

    Abstract: The global spread of coronavirus disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. The majority of existing models assume ... ...

    Abstract The global spread of coronavirus disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. The majority of existing models assume random diffusion but do not take into account differences in the amount of interactions between individuals, i.e. the underlying human interaction network, whose structure is known to be scale-free. Here, we demonstrate how this network of interactions can be used to predict the spread of the virus and to inform policy on the most successful mitigation and suppression strategies. Using stochastic simulations in a scale-free network, we show that the epidemic can propagate for a long time at a low level before the number of infected individuals suddenly increases markedly, and that this increase occurs shortly after the first hub is infected. We further demonstrate that mitigation strategies that target hubs are far more effective than strategies that randomly decrease the number of connections between individuals. Although applicable to infectious disease modelling in general, our results emphasize how network science can improve the predictive power of current COVID-19 epidemiological models.
    MeSH term(s) COVID-19/epidemiology ; Humans ; Models, Statistical ; Pandemics ; Population Dynamics ; SARS-CoV-2/isolation & purification ; Social Interaction
    Keywords covid19
    Language English
    Publishing date 2020-10-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2133216-2
    ISSN 1478-3975 ; 1478-3967
    ISSN (online) 1478-3975
    ISSN 1478-3967
    DOI 10.1088/1478-3975/aba8ec
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Why COVID-19 models should incorporate the network of social interactions

    Herrmann, Helena A / Schwartz, Jean-Marc

    Physical Biology

    2020  Volume 17, Issue 6, Page(s) 65008

    Keywords Biophysics ; Cell Biology ; Molecular Biology ; Structural Biology ; covid19
    Publisher IOP Publishing
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 2133216-2
    ISSN 1478-3975 ; 1478-3967
    ISSN (online) 1478-3975
    ISSN 1478-3967
    DOI 10.1088/1478-3975/aba8ec
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Using network science to propose strategies for effectively dealing with pandemics: The COVID-19 example

    Herrmann, Helena A / Schwartz, Jean-Marc

    Abstract: The global spread of Coronavirus Disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. We note that the majority of existing ... ...

    Abstract The global spread of Coronavirus Disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. We note that the majority of existing models do not take into account differences in the amount of interactions between individuals (i.e. the underlying human interaction network). Using network science we demonstrate how this network of interactions can be used to predict the spread of the virus and to inform policy on the most successful mitigation and suppression strategies. Although applicable to disease modelling in general, our results emphasize how network science can improve the predictive power of current COVID-19 epidemiological models. We provide commented source code for all our analyses so that they can easily be integrated into current and future epidemiological models.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.04.02.20050468
    Database COVID19

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  6. Article ; Online: Using network science to propose strategies for effectively dealing with pandemics: The COVID-19 example

    Herrmann, Helena A / Schwartz, Jean-Marc

    medRxiv

    Abstract: The global spread of Coronavirus Disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. We note that the majority of existing ... ...

    Abstract The global spread of Coronavirus Disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. We note that the majority of existing models do not take into account differences in the amount of interactions between individuals (i.e. the underlying human interaction network). Using network science we demonstrate how this network of interactions can be used to predict the spread of the virus and to inform policy on the most successful mitigation and suppression strategies. Although applicable to disease modelling in general, our results emphasize how network science can improve the predictive power of current COVID-19 epidemiological models. We provide commented source code for all our analyses so that they can easily be integrated into current and future epidemiological models.
    Keywords covid19
    Language English
    Publishing date 2020-04-06
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.04.02.20050468
    Database COVID19

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  7. Article: Why COVID-19 models should incorporate the network of social interactions

    Herrmann, Helena A / Schwartz, Jean-Marc

    Phys. biol

    Abstract: The global spread of Coronavirus Disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. The majority of existing models assume ... ...

    Abstract The global spread of Coronavirus Disease 2019 (COVID-19) is overwhelming many health-care systems. As a result, epidemiological models are being used to inform policy on how to effectively deal with this pandemic. The majority of existing models assume random diffusion but do not take into account differences in the amount of interactions between individuals, i.e. the underlying human interaction network, whose structure is known to be scale-free. Here, we demonstrate how this network of interactions can be used to predict the spread of the virus and to inform policy on the most successful mitigation and suppression strategies. Using stochastic simulations in a scale-free network, we show that the epidemic can propagate for a long time at a low level before the number of infected individuals suddenly increases markedly, and that this increase occurs shortly after the first hub is infected. We further demonstrate that mitigation strategies that target hubs are far more effective than strategies that randomly decrease the number of connections between individuals. Although applicable to infectious disease modelling in general, our results emphasize how network science can improve the predictive power of current COVID-19 epidemiological models.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #670562
    Database COVID19

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  8. Article ; Online: Metabolic acclimation-a key to enhancing photosynthesis in changing environments?

    Herrmann, Helena A / Schwartz, Jean-Marc / Johnson, Giles N

    Journal of experimental botany

    2019  Volume 70, Issue 12, Page(s) 3043–3056

    Abstract: Plants adjust their photosynthetic capacity in response to their environment in a way that optimizes their yield and fitness. There is growing evidence that this acclimation is a response to changes in the leaf metabolome, but the extent to which these ... ...

    Abstract Plants adjust their photosynthetic capacity in response to their environment in a way that optimizes their yield and fitness. There is growing evidence that this acclimation is a response to changes in the leaf metabolome, but the extent to which these are linked and how this is optimized remain poorly understood. Using as an example the metabolic perturbations occurring in response to cold, we define the different stages required for acclimation, discuss the evidence for a metabolic temperature sensor, and suggest further work towards designing climate-smart crops. In particular, we discuss how constraint-based and kinetic metabolic modelling approaches can be used to generate targeted hypotheses about relevant pathways, and argue that a stronger integration of experimental and in silico studies will help us to understand the tightly regulated interplay of carbon partitioning and resource allocation required for photosynthetic acclimation to different environmental conditions.
    MeSH term(s) Acclimatization ; Climate ; Crops, Agricultural/metabolism ; Light ; Photosynthesis ; Plant Leaves/metabolism
    Language English
    Publishing date 2019-04-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2976-2
    ISSN 1460-2431 ; 0022-0957
    ISSN (online) 1460-2431
    ISSN 0022-0957
    DOI 10.1093/jxb/erz157
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 55/29: Show issues

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  9. Article ; Online: From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation.

    Herrmann, Helena A / Schwartz, Jean-Marc / Johnson, Giles N

    Photosynthesis research

    2019  Volume 145, Issue 1, Page(s) 5–14

    Abstract: Light response curves (LRCs) describe how the rate of photosynthesis varies as a function of light. They provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency of leaves. ... ...

    Abstract Light response curves (LRCs) describe how the rate of photosynthesis varies as a function of light. They provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency of leaves. Light response curves are widely used to capture photosynthetic phenotypes in response to changing environmental conditions. However, models describing these are predominantly empirical and do not attempt to explain behaviour at a mechanistic level. Here, we use modelling to understand the metabolic changes required for photosynthetic acclimation to changing environmental conditions. Using a simple kinetic model, we predicted LRCs across the physiological temperature range of Arabidopsis thaliana and confirm these using experimental data. We use our validated metabolic model to make novel predictions about the metabolic changes of temperature acclimation. We demonstrate that NADPH utilization are enhanced in warm-acclimated plants, whereas both NADPH and CO
    MeSH term(s) Acclimatization ; Arabidopsis/physiology ; Arabidopsis/radiation effects ; Models, Theoretical ; Photosynthesis ; Plant Leaves/physiology ; Plant Leaves/radiation effects ; Temperature
    Language English
    Publishing date 2019-10-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1475688-2
    ISSN 1573-5079 ; 0166-8595
    ISSN (online) 1573-5079
    ISSN 0166-8595
    DOI 10.1007/s11120-019-00681-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light.

    Gjindali, Armida / Herrmann, Helena A / Schwartz, Jean-Marc / Johnson, Giles N / Calzadilla, Pablo I

    Frontiers in plant science

    2021  Volume 12, Page(s) 668512

    Abstract: Plants in natural environments receive light through sunflecks, the duration and distribution of these being highly variable across the day. Consequently, plants need to adjust their photosynthetic processes to avoid photoinhibition and maximize yield. ... ...

    Abstract Plants in natural environments receive light through sunflecks, the duration and distribution of these being highly variable across the day. Consequently, plants need to adjust their photosynthetic processes to avoid photoinhibition and maximize yield. Changes in the composition of the photosynthetic apparatus in response to sustained changes in the environment are referred to as photosynthetic acclimation, a process that involves changes in protein content and composition. Considering this definition, acclimation differs from regulation, which involves processes that alter the activity of individual proteins over short-time periods, without changing the abundance of those proteins. The interconnection and overlapping of the short- and long-term photosynthetic responses, which can occur simultaneously or/and sequentially over time, make the study of long-term acclimation to fluctuating light in plants challenging. In this review we identify short-term responses of plants to fluctuating light that could act as sensors and signals for acclimation responses, with the aim of understanding how plants integrate environmental fluctuations over time and tailor their responses accordingly. Mathematical modeling has the potential to integrate physiological processes over different timescales and to help disentangle short-term regulatory responses from long-term acclimation responses. We review existing mathematical modeling techniques for studying photosynthetic responses to fluctuating light and propose new methods for addressing the topic from a holistic point of view.
    Language English
    Publishing date 2021-04-14
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2021.668512
    Database MEDical Literature Analysis and Retrieval System OnLINE

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