Time-Adaptive Determination of Drug Efficacy in Mathematical Model of HIV Infection View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-06-12

AUTHORS

L. Beilina, M. Eriksson, I. Gainova

ABSTRACT

The paper considers a time-adaptive finite element method for determination of drug efficacy in a parameter identification problem (PIP) for a system of ordinary differential equations (ODE) that describes dynamics of the primary human immunodeficiency virus (HIV) infection with drug therapy. Tikhonov’s regularization method, optimization approach and finite element method to solve this problem are presented. A posteriori error estimates in the Tikhonov’s functional and reconstructed parameter are derived. Based on these estimates a time adaptive algorithm is formulated and numerically tested for different scenarios of noisy observations of virus population function. Numerical results show a significant improvement of reconstruction of drug efficacy parameter using the local time-adaptive mesh refinement method compared to the gradient method applied on a uniform time mesh. More... »

PAGES

1-35

References to SciGraph publications

  • 2004-09. Distinct effects of protease and reverse transcriptase inhibition in an immunological model of HIV-1 infection with impulsive drug effects in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2013-07-17. Time-Adaptive FEM for Distributed Parameter Identification in Biological Models in APPLIED INVERSE PROBLEMS
  • 2004. Iterative Methods for Approximate Solution of Inverse Problems in NONE
  • 2016-01-09. On the extinction probability in models of within-host infection: the role of latency and immunity in JOURNAL OF MATHEMATICAL BIOLOGY
  • 1989. Estimation Techniques for Distributed Parameter Systems in NONE
  • 2018. Mathematical Immunology of Virus Infections in NONE
  • 2013-01-11. Sustained and transient oscillations and chaos induced by delayed antiviral immune response in an immunosuppressive infection model in JOURNAL OF MATHEMATICAL BIOLOGY
  • 2017-11-01. A model for interactions between immune cells and HIV considering drug treatments in COMPUTATIONAL AND APPLIED MATHEMATICS
  • 2015-02-18. Time-adaptive FEM for distributed parameter identification in mathematical model of HIV infection with drug therapy in INVERSE PROBLEMS AND APPLICATIONS
  • 2016-10-06. Mathematical Models for Immunology: Current State of the Art and Future Research Directions in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2012. Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems in NONE
  • 1995. Numerical Methods for the Solution of Ill-Posed Problems in NONE
  • 2010-05-20. Adaptivity with relaxation for ill-posed problems and global convergence for a coefficient inverse problem in JOURNAL OF MATHEMATICAL SCIENCES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12591-021-00572-w

    DOI

    http://dx.doi.org/10.1007/s12591-021-00572-w

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1138795651


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Mathematical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Applied Mathematics", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, 42196, G\u00f6teborg, Sweden", 
              "id": "http://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, 42196, G\u00f6teborg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Beilina", 
            "givenName": "L.", 
            "id": "sg:person.014020107073.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014020107073.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Marine Sciences, University of Gothenburg, 40530, G\u00f6teborg, Sweden", 
              "id": "http://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "Department of Marine Sciences, University of Gothenburg, 40530, G\u00f6teborg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Eriksson", 
            "givenName": "M.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sobolev Institute of Mathematics, 630090, Novosibirsk, Russia", 
              "id": "http://www.grid.ac/institutes/grid.426295.e", 
              "name": [
                "Sobolev Institute of Mathematics, 630090, Novosibirsk, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gainova", 
            "givenName": "I.", 
            "id": "sg:person.0733601103.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733601103.61"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11538-016-0214-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017358776", 
              "https://doi.org/10.1007/s11538-016-0214-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40314-017-0528-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092477015", 
              "https://doi.org/10.1007/s40314-017-0528-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00285-015-0961-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043930012", 
              "https://doi.org/10.1007/s00285-015-0961-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4020-3122-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043767192", 
              "https://doi.org/10.1007/978-1-4020-3122-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/j.bulm.2003.12.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043237115", 
              "https://doi.org/10.1016/j.bulm.2003.12.004"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10958-010-9921-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036278828", 
              "https://doi.org/10.1007/s10958-010-9921-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-72317-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104541227", 
              "https://doi.org/10.1007/978-3-319-72317-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-015-8480-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030100631", 
              "https://doi.org/10.1007/978-94-015-8480-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4419-7805-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033914026", 
              "https://doi.org/10.1007/978-1-4419-7805-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00285-012-0639-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049337405", 
              "https://doi.org/10.1007/s00285-012-0639-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-7816-4_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042159807", 
              "https://doi.org/10.1007/978-1-4614-7816-4_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4612-3700-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005956942", 
              "https://doi.org/10.1007/978-1-4612-3700-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-12499-5_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028126329", 
              "https://doi.org/10.1007/978-3-319-12499-5_8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-06-12", 
        "datePublishedReg": "2021-06-12", 
        "description": "The paper considers a time-adaptive finite element method for determination of drug efficacy in a parameter identification problem (PIP) for a system of ordinary differential equations (ODE) that describes dynamics of the primary human immunodeficiency virus (HIV) infection with drug therapy. Tikhonov\u2019s regularization method, optimization approach and finite element method to solve this problem are presented. A posteriori error estimates in the Tikhonov\u2019s functional and reconstructed parameter are derived. Based on these estimates a time adaptive algorithm is formulated and numerically tested for different scenarios of noisy observations of virus population function. Numerical results show a significant improvement of reconstruction of drug efficacy parameter using the local time-adaptive mesh refinement method compared to the gradient method applied on a uniform time mesh.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s12591-021-00572-w", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7880745", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8746112", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1136107", 
            "issn": [
              "0971-3514", 
              "0974-6870"
            ], 
            "name": "Differential Equations and Dynamical Systems", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }
        ], 
        "keywords": [
          "ordinary differential equations", 
          "parameter identification problem", 
          "regularization method", 
          "finite element method", 
          "uniform time mesh", 
          "Tikhonov regularization method", 
          "time adaptive algorithm", 
          "element method", 
          "differential equations", 
          "mesh refinement method", 
          "time mesh", 
          "mathematical model", 
          "error estimates", 
          "noisy observations", 
          "identification problem", 
          "optimization approach", 
          "gradient method", 
          "reconstructed parameters", 
          "adaptive algorithm", 
          "numerical results", 
          "drug efficacy parameter", 
          "Tikhonov", 
          "population function", 
          "refinement method", 
          "equations", 
          "problem", 
          "different scenarios", 
          "parameters", 
          "estimates", 
          "algorithm", 
          "mesh", 
          "dynamics", 
          "model", 
          "function", 
          "system", 
          "approach", 
          "scenarios", 
          "determination", 
          "observations", 
          "results", 
          "reconstruction", 
          "significant improvement", 
          "primary human immunodeficiency virus (HIV) infection", 
          "drug efficacy", 
          "human immunodeficiency virus (HIV) infection", 
          "improvement", 
          "immunodeficiency virus infection", 
          "HIV infection", 
          "drug therapy", 
          "efficacy parameters", 
          "virus infection", 
          "infection", 
          "efficacy", 
          "therapy", 
          "method", 
          "paper"
        ], 
        "name": "Time-Adaptive Determination of Drug Efficacy in Mathematical Model of HIV Infection", 
        "pagination": "1-35", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1138795651"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12591-021-00572-w"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12591-021-00572-w", 
          "https://app.dimensions.ai/details/publication/pub.1138795651"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-10T10:34", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_921.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s12591-021-00572-w"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12591-021-00572-w'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12591-021-00572-w'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12591-021-00572-w'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12591-021-00572-w'


     

    This table displays all metadata directly associated to this object as RDF triples.

    182 TRIPLES      22 PREDICATES      92 URIs      71 LITERALS      4 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12591-021-00572-w schema:about anzsrc-for:01
    2 anzsrc-for:0102
    3 schema:author N28af2451a80d44b89bc36ab628aa5806
    4 schema:citation sg:pub.10.1007/978-1-4020-3122-9
    5 sg:pub.10.1007/978-1-4419-7805-9
    6 sg:pub.10.1007/978-1-4612-3700-6
    7 sg:pub.10.1007/978-1-4614-7816-4_3
    8 sg:pub.10.1007/978-3-319-12499-5_8
    9 sg:pub.10.1007/978-3-319-72317-4
    10 sg:pub.10.1007/978-94-015-8480-7
    11 sg:pub.10.1007/s00285-012-0639-1
    12 sg:pub.10.1007/s00285-015-0961-5
    13 sg:pub.10.1007/s10958-010-9921-1
    14 sg:pub.10.1007/s11538-016-0214-9
    15 sg:pub.10.1007/s40314-017-0528-8
    16 sg:pub.10.1016/j.bulm.2003.12.004
    17 schema:datePublished 2021-06-12
    18 schema:datePublishedReg 2021-06-12
    19 schema:description The paper considers a time-adaptive finite element method for determination of drug efficacy in a parameter identification problem (PIP) for a system of ordinary differential equations (ODE) that describes dynamics of the primary human immunodeficiency virus (HIV) infection with drug therapy. Tikhonov’s regularization method, optimization approach and finite element method to solve this problem are presented. A posteriori error estimates in the Tikhonov’s functional and reconstructed parameter are derived. Based on these estimates a time adaptive algorithm is formulated and numerically tested for different scenarios of noisy observations of virus population function. Numerical results show a significant improvement of reconstruction of drug efficacy parameter using the local time-adaptive mesh refinement method compared to the gradient method applied on a uniform time mesh.
    20 schema:genre article
    21 schema:inLanguage en
    22 schema:isAccessibleForFree true
    23 schema:isPartOf sg:journal.1136107
    24 schema:keywords HIV infection
    25 Tikhonov
    26 Tikhonov regularization method
    27 adaptive algorithm
    28 algorithm
    29 approach
    30 determination
    31 different scenarios
    32 differential equations
    33 drug efficacy
    34 drug efficacy parameter
    35 drug therapy
    36 dynamics
    37 efficacy
    38 efficacy parameters
    39 element method
    40 equations
    41 error estimates
    42 estimates
    43 finite element method
    44 function
    45 gradient method
    46 human immunodeficiency virus (HIV) infection
    47 identification problem
    48 immunodeficiency virus infection
    49 improvement
    50 infection
    51 mathematical model
    52 mesh
    53 mesh refinement method
    54 method
    55 model
    56 noisy observations
    57 numerical results
    58 observations
    59 optimization approach
    60 ordinary differential equations
    61 paper
    62 parameter identification problem
    63 parameters
    64 population function
    65 primary human immunodeficiency virus (HIV) infection
    66 problem
    67 reconstructed parameters
    68 reconstruction
    69 refinement method
    70 regularization method
    71 results
    72 scenarios
    73 significant improvement
    74 system
    75 therapy
    76 time adaptive algorithm
    77 time mesh
    78 uniform time mesh
    79 virus infection
    80 schema:name Time-Adaptive Determination of Drug Efficacy in Mathematical Model of HIV Infection
    81 schema:pagination 1-35
    82 schema:productId N56886c96faa44249b418ef6e174e7dbe
    83 N8e81de63e36f4737b983db962c315a41
    84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1138795651
    85 https://doi.org/10.1007/s12591-021-00572-w
    86 schema:sdDatePublished 2022-05-10T10:34
    87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    88 schema:sdPublisher Nb969924ce431486caf67f85d1854ff10
    89 schema:url https://doi.org/10.1007/s12591-021-00572-w
    90 sgo:license sg:explorer/license/
    91 sgo:sdDataset articles
    92 rdf:type schema:ScholarlyArticle
    93 N28af2451a80d44b89bc36ab628aa5806 rdf:first sg:person.014020107073.55
    94 rdf:rest Ned44f463be404b7f83bf09aefd1b93d6
    95 N56886c96faa44249b418ef6e174e7dbe schema:name doi
    96 schema:value 10.1007/s12591-021-00572-w
    97 rdf:type schema:PropertyValue
    98 N64a43f4e0db04ffe857ce2bad4a59701 schema:affiliation grid-institutes:grid.8761.8
    99 schema:familyName Eriksson
    100 schema:givenName M.
    101 rdf:type schema:Person
    102 N8e81de63e36f4737b983db962c315a41 schema:name dimensions_id
    103 schema:value pub.1138795651
    104 rdf:type schema:PropertyValue
    105 Nb969924ce431486caf67f85d1854ff10 schema:name Springer Nature - SN SciGraph project
    106 rdf:type schema:Organization
    107 Nd13591c5d2704480815bcc818112dbaa rdf:first sg:person.0733601103.61
    108 rdf:rest rdf:nil
    109 Ned44f463be404b7f83bf09aefd1b93d6 rdf:first N64a43f4e0db04ffe857ce2bad4a59701
    110 rdf:rest Nd13591c5d2704480815bcc818112dbaa
    111 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    112 schema:name Mathematical Sciences
    113 rdf:type schema:DefinedTerm
    114 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
    115 schema:name Applied Mathematics
    116 rdf:type schema:DefinedTerm
    117 sg:grant.7880745 http://pending.schema.org/fundedItem sg:pub.10.1007/s12591-021-00572-w
    118 rdf:type schema:MonetaryGrant
    119 sg:grant.8746112 http://pending.schema.org/fundedItem sg:pub.10.1007/s12591-021-00572-w
    120 rdf:type schema:MonetaryGrant
    121 sg:journal.1136107 schema:issn 0971-3514
    122 0974-6870
    123 schema:name Differential Equations and Dynamical Systems
    124 schema:publisher Springer Nature
    125 rdf:type schema:Periodical
    126 sg:person.014020107073.55 schema:affiliation grid-institutes:grid.8761.8
    127 schema:familyName Beilina
    128 schema:givenName L.
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014020107073.55
    130 rdf:type schema:Person
    131 sg:person.0733601103.61 schema:affiliation grid-institutes:grid.426295.e
    132 schema:familyName Gainova
    133 schema:givenName I.
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733601103.61
    135 rdf:type schema:Person
    136 sg:pub.10.1007/978-1-4020-3122-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043767192
    137 https://doi.org/10.1007/978-1-4020-3122-9
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1007/978-1-4419-7805-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033914026
    140 https://doi.org/10.1007/978-1-4419-7805-9
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/978-1-4612-3700-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005956942
    143 https://doi.org/10.1007/978-1-4612-3700-6
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/978-1-4614-7816-4_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042159807
    146 https://doi.org/10.1007/978-1-4614-7816-4_3
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/978-3-319-12499-5_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028126329
    149 https://doi.org/10.1007/978-3-319-12499-5_8
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/978-3-319-72317-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104541227
    152 https://doi.org/10.1007/978-3-319-72317-4
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/978-94-015-8480-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030100631
    155 https://doi.org/10.1007/978-94-015-8480-7
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s00285-012-0639-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049337405
    158 https://doi.org/10.1007/s00285-012-0639-1
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s00285-015-0961-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043930012
    161 https://doi.org/10.1007/s00285-015-0961-5
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s10958-010-9921-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036278828
    164 https://doi.org/10.1007/s10958-010-9921-1
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s11538-016-0214-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017358776
    167 https://doi.org/10.1007/s11538-016-0214-9
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/s40314-017-0528-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092477015
    170 https://doi.org/10.1007/s40314-017-0528-8
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1016/j.bulm.2003.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043237115
    173 https://doi.org/10.1016/j.bulm.2003.12.004
    174 rdf:type schema:CreativeWork
    175 grid-institutes:grid.426295.e schema:alternateName Sobolev Institute of Mathematics, 630090, Novosibirsk, Russia
    176 schema:name Sobolev Institute of Mathematics, 630090, Novosibirsk, Russia
    177 rdf:type schema:Organization
    178 grid-institutes:grid.8761.8 schema:alternateName Department of Marine Sciences, University of Gothenburg, 40530, Göteborg, Sweden
    179 Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, 42196, Göteborg, Sweden
    180 schema:name Department of Marine Sciences, University of Gothenburg, 40530, Göteborg, Sweden
    181 Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, 42196, Göteborg, Sweden
    182 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...