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  1. Article: The social dynamics of COVID-19.

    Lux, Thomas

    Physica A

    2021  Volume 567, Page(s) 125710

    Abstract: We add a simple dynamic process for adaptive "social distancing" measures to a standard SIR model of the COVID pandemic. With a limited attention span and in the absence of a consistent long-term strategy against the pandemic, this process leads to a ... ...

    Abstract We add a simple dynamic process for adaptive "social distancing" measures to a standard SIR model of the COVID pandemic. With a limited attention span and in the absence of a consistent long-term strategy against the pandemic, this process leads to a sweeping of an instability, i.e. fluctuations in the effective reproduction number around its bifurcation value of
    Language English
    Publishing date 2021-01-02
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1466577-3
    ISSN 1873-2119 ; 0378-4371
    ISSN (online) 1873-2119
    ISSN 0378-4371
    DOI 10.1016/j.physa.2020.125710
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Introgressions lead to reference bias in wheat RNA-seq analysis.

    Coombes, Benedict / Lux, Thomas / Akhunov, Eduard / Hall, Anthony

    BMC biology

    2024  Volume 22, Issue 1, Page(s) 56

    Abstract: Background: RNA-seq is a fundamental technique in genomics, yet reference bias, where transcripts derived from non-reference alleles are quantified less accurately, can undermine the accuracy of RNA-seq quantification and thus the conclusions made ... ...

    Abstract Background: RNA-seq is a fundamental technique in genomics, yet reference bias, where transcripts derived from non-reference alleles are quantified less accurately, can undermine the accuracy of RNA-seq quantification and thus the conclusions made downstream. Reference bias in RNA-seq analysis has yet to be explored in complex polyploid genomes despite evidence that they are often a complex mosaic of wild relative introgressions, which introduce blocks of highly divergent genes.
    Results: Here we use hexaploid wheat as a model complex polyploid, using both simulated and experimental data to show that RNA-seq alignment in wheat suffers from widespread reference bias which is largely driven by divergent introgressed genes. This leads to underestimation of gene expression and incorrect assessment of homoeologue expression balance. By incorporating gene models from ten wheat genome assemblies into a pantranscriptome reference, we present a novel method to reduce reference bias, which can be readily scaled to capture more variation as new genome and transcriptome data becomes available.
    Conclusions: This study shows that the presence of introgressions can lead to reference bias in wheat RNA-seq analysis. Caution should be exercised by researchers using non-sample reference genomes for RNA-seq alignment and novel methods, such as the one presented here, should be considered.
    MeSH term(s) RNA-Seq ; Triticum/genetics ; Transcriptome ; Genomics ; Polyploidy
    Language English
    Publishing date 2024-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2133020-7
    ISSN 1741-7007 ; 1741-7007
    ISSN (online) 1741-7007
    ISSN 1741-7007
    DOI 10.1186/s12915-024-01853-w
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  3. Conference proceedings: Erfolgsfaktoren für die Einführung eines Clinical Trial Management System (CTMS)in der klinischen Forschung

    Lux, Thomas

    2021  , Page(s) Abstr. 189

    Event/congress 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); sine loco [digital]; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2021
    Keywords Medizin, Gesundheit ; Clinical Trial Management System ; Success Factors ; Health Information System
    Publishing date 2021-09-24
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/21gmds133
    Database German Medical Science

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  4. Conference proceedings: Erfolgsfaktoren von mHealth-Startups – explorative Ableitung und qualitative Analyse

    Lux, Thomas

    2021  , Page(s) Abstr. 180

    Event/congress 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); sine loco [digital]; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2021
    Keywords Medizin, Gesundheit ; mHealth ; eHealth ; Erfolgsfaktoren
    Publishing date 2021-09-24
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/21gmds022
    Database German Medical Science

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  5. Article ; Online: A novel range telescope concept for proton CT.

    Granado-González, M / Jesús-Valls, C / Lux, T / Price, T / Sánchez, F

    Physics in medicine and biology

    2022  Volume 67, Issue 3

    Abstract: Proton beam therapy can potentially offer improved treatment for cancers of the head and neck and in paediatric patients. There has been a sharp uptake of proton beam therapy in recent years as improved delivery techniques and patient benefits are ... ...

    Abstract Proton beam therapy can potentially offer improved treatment for cancers of the head and neck and in paediatric patients. There has been a sharp uptake of proton beam therapy in recent years as improved delivery techniques and patient benefits are observed. However, treatments are currently planned using conventional x-ray CT images due to the absence of devices able to perform high quality proton computed tomography (pCT) under realistic clinical conditions. A new plastic-scintillator-based range telescope concept, named ASTRA, is proposed here to measure the proton's energy loss in a pCT system. Simulations conducted using GEANT4 yield an expected energy resolution of 0.7%. If calorimetric information is used the energy resolution could be further improved to about 0.5%. In addition, the ability of ASTRA to track multiple protons simultaneously is presented. Due to its fast components, ASTRA is expected to reach unprecedented data collection rates, similar to 10
    MeSH term(s) Child ; Data Collection ; Humans ; Image Processing, Computer-Assisted ; Monte Carlo Method ; Phantoms, Imaging ; Proton Therapy/methods ; Protons ; Telescopes ; Tomography, X-Ray Computed/methods
    Chemical Substances Protons
    Language English
    Publishing date 2022-02-03
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ac4b39
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: 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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  6. Book ; Thesis: Tumornachsorge von Patienten mit kolorektalen Karzinomen an der Chirurgischen Universitätsklinik Heidelberg

    Lux, Thomas

    2004  

    Author's details vorgelegt von Thomas Lux
    Language German
    Size 139 Bl. : Ill., graph. Darst.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Heidelberg, Univ.,Diss., 2004
    HBZ-ID HT014286828
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2005 E 27 order for loan Magazin

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  7. Article ; Conference proceedings: IMPROVING USABILITY OF AI SYSTEMS FOR POLYP DETECTION BY RECOGNIZING DIFFERENT INTERVENTIONS DURING COLONOSCOPY

    Lux, T. / Troya, J. / Brand, M. / Meining, A. / Hann, A.

    Endoscopy

    2022  Volume 54, Issue S 01

    Event/congress ESGE Days 2022, Prague, Czech Republic, 2022-04-28
    Language English
    Publishing date 2022-04-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 80120-3
    ISSN 1438-8812 ; 0013-726X
    ISSN (online) 1438-8812
    ISSN 0013-726X
    DOI 10.1055/s-0042-1745072
    Database Thieme publisher's database

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 669: 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)
    Zs.MO 162: Show issues

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  8. Book ; Online: On the distribution of links in financial networks

    Lux, Thomas

    structural heterogeneity and functional form

    (Economics working paper / Christian-Albrechts-Universität Kiel, Department of Economics ; no 2017, 05)

    2017  

    Abstract: We investigate the distribution of links in three large data-sets, one of these covering interbank loans in the electronic trading platform e-MID, the other two covering a large part of the loans of banks to non-financial companies in the Spanish and ... ...

    Author's details by Thomas Lux
    Series title Economics working paper / Christian-Albrechts-Universität Kiel, Department of Economics ; no 2017, 05
    Abstract We investigate the distribution of links in three large data-sets, one of these covering interbank loans in the electronic trading platform e-MID, the other two covering a large part of the loans of banks to non-financial companies in the Spanish and Japanese economies, respectively. In contrast to all previous literature, we do not assume homogeneity of the link distribution over time and across different categories of agents (banks, firms) but apply our hypothesized distributions as regression models. As it turns out, many of the tested sources of heterogeneity turn out to be significant regressors. For instance, we find pervasive time heterogeneity of link formation in all three data sets, and also heterogeneity for different categories of banks/firms that can be identified in the data. Across all networks, the Negative Binominal model always outperforms all alternative models confirming its good performance as a model of economic count data in many previous applications.
    Keywords Financial networks ; interbank market ; degree distribution ; credit network
    Language English
    Size 1 Online-Ressource (circa 29 Seiten)
    Publisher Christian-Albrechts-Universität zu Kiel, Department of Economics
    Publishing place Kiel
    Document type Book ; Online
    Database ECONomics Information System

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  9. Book ; Online: Estimation of agent-based models using sequential Monte Carlo methods

    Lux, Thomas

    (Economics working paper / Christian-Albrechts-Universität Kiel, Department of Economics ; no 2017, 07)

    2017  

    Abstract: Estimation of agent-based models is currently an intense area of research. Recent contributions have to a large extent resorted to simulation-based methods mostly using some form of simulated method of moments estimation (SMM). There is, however, an ... ...

    Author's details by Thomas Lux
    Series title Economics working paper / Christian-Albrechts-Universität Kiel, Department of Economics ; no 2017, 07
    Abstract Estimation of agent-based models is currently an intense area of research. Recent contributions have to a large extent resorted to simulation-based methods mostly using some form of simulated method of moments estimation (SMM). There is, however, an entire branch of statistical methods that should appear promising, but has to our knowledge never been applied so far to estimate agent-based models in economics and finance: Markov chain Monte Carlo methods designed for state space models or models with latent variables. This later class of models seems particularly relevant as agent-based models typically consist of some latent and some observable variables since not all the characteristics of agents would mostly be observable. Indeed, one might often not only be interested in estimating the parameters of a model, but also to infer the time development of some latent variable. However, agent-based models when interpreted as latent variable models would be typically characterized by non-linear dynamics and non-Gaussian fluctuations and, thus, would require a computational approach to statistical inference. Here we resort to Sequential Monte Carlo (SMC) estimation based on a particle filter. This approach is used here to numerically approximate the conditional densities that enter into the likelihood function of the problem. With this approximation we simultaneously obtain parameter estimates and filtered state probabilities for the unobservable variable(s) that drive(s) the dynamics of the observable time series. In our examples, the observable series will be asset returns (or prices) while the unobservable variables will be some measure of agents' aggregate sentiment. We apply SMC to two selected agent-based models of speculative dynamics with somewhat different flavor. The empirical application to a selection of financial data includes an explicit comparison of the goodness-of-fit of both models.
    Keywords agent-based models ; estimation ; Markov chain Monte Carlo ; particle filter
    Language English
    Size 1 Online-Ressource (circa 46 Seiten), Illustrationen
    Publisher Christian-Albrechts-Universität zu Kiel, Department of Economics
    Publishing place Kiel
    Document type Book ; Online
    Database ECONomics Information System

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  10. Article: Network effects and systemic risk in the banking sector

    Lux, Thomas

    Monetary policy, financial crises, and the macroeconomy : Festschrift for Gerhard Illing , p. 59-78

    2017  , Page(s) 59–78

    Author's details Thomas Lux
    Keywords Bankenkrise ; Systemrisiko ; Interbankenmarkt ; Ansteckungseffekt ; Welt
    Language Undetermined
    Publisher Springer
    Publishing place Cham
    Document type Article
    ISBN 3-319-56260-6 ; 978-3-319-56260-5
    Database ECONomics Information System

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