Search Results - (Author, Cooperation:N. Mansouri)

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  1. 1
  2. 2
    Staff View
    Publication Date:
    2012-08-04
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Animals ; Antibodies, Viral/blood ; Cytokines/genetics/*immunology ; Female ; Granulocytes/immunology ; Humans ; Immunity ; Interferon-gamma/*immunology ; Interleukin-12/immunology ; Killer Cells, Natural/immunology ; Male ; Mice ; Mycobacterium Infections/blood/genetics/*immunology ; Pedigree ; T-Lymphocytes/immunology ; Ubiquitins/genetics/*immunology ; Virus Diseases/blood/*immunology
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  3. 3
    Staff View
    Publication Date:
    2014-10-14
    Publisher:
    Nature Publishing Group (NPG)
    Print ISSN:
    0028-0836
    Electronic ISSN:
    1476-4687
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Adolescent ; Alleles ; Child ; Cytokines/deficiency/genetics/*metabolism ; Endopeptidases/chemistry/metabolism ; Female ; Gene Expression Regulation ; Humans ; Inflammation/genetics/immunology/*prevention & control ; Interferon Type I/*immunology/metabolism ; Intracellular Space/*metabolism ; Male ; Pedigree ; S-Phase Kinase-Associated Proteins/metabolism ; Signal Transduction ; Ubiquitination ; Ubiquitins/deficiency/genetics/*metabolism ; Viruses/immunology
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  4. 4
    Mansouri, N. ; Kernévez, J.P
    Springer
    Published 1998
    Staff View
    ISSN:
    1572-9265
    Keywords:
    continuation ; parameter identification ; nonlinear least squares ; sentinels
    Source:
    Springer Online Journal Archives 1860-2000
    Topics:
    Computer Science
    Mathematics
    Notes:
    Abstract In this paper, we describe two efficient methods to estimate parameters in nonlinear least squares problems: continuation and sentinels methods. When the studied system is modeled by differential equations, we have to identify both unknown parameters and initial conditions. For that, we propose to process in two steps: first identify the unknown parameters, then identify again using the found results, considering now both the parameters and the initial conditions as unknown.
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses