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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0903", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biomedical Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Graduate School of Frontier Sciences, University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa, Chiba 277-0882 Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Graduate School of Frontier Sciences, University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa, Chiba 277-0882 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Washio", 
        "givenName": "Takumi", 
        "id": "sg:person.01163254214.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163254214.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graduate School of Frontier Sciences, University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa, Chiba 277-0882 Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Graduate School of Frontier Sciences, University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa, Chiba 277-0882 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okada", 
        "givenName": "Jun-ichi", 
        "id": "sg:person.01220732456.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220732456.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graduate School of Frontier Sciences, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Graduate School of Frontier Sciences, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sugiura", 
        "givenName": "Seiryo", 
        "id": "sg:person.01277502614.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277502614.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graduate School of Frontier Sciences, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Graduate School of Frontier Sciences, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hisada", 
        "givenName": "Toshiaki", 
        "id": "sg:person.01231367414.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231367414.61"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0006350909010072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047568612", 
          "https://doi.org/10.1134/s0006350909010072"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-12-28", 
    "datePublishedReg": "2011-12-28", 
    "description": "We developed a novel ordinary differential equation (ODE) model, which produced results that correlated well with the Monte Carlo (MC) simulation when applied to a spatially-detailed model of the cardiac sarcomere. Configuration of the novel ODE model was based on the Ising model of myofilaments, with the \"co-operative activation\" effect introduced to incorporate nearest-neighbor interactions. First, a set of parameters was estimated using arbitrary Ca transient data to reproduce the combinational probability for the states of three consecutive regulatory units, using single unit probabilities for central and neighboring units in the MC simulation. The parameter set thus obtained enabled the calculation of the state transition of each unit using the ODE model with reference to the neighboring states. The present ODE model not only provided good agreement with the MC simulation results but was also capable of reproducing a wide range of experimental results under both steady-state and dynamic conditions including shortening twitch. The simulation results suggested that the nearest-neighbor interaction is a reasonable approximation of the cooperativity based on end-to-end interactions. Utilizing the modified ODE model resulted in a reduction in computational costs but maintained spatial integrity and co-operative effects, making it a powerful tool in cardiac modeling.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12195-011-0219-2", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039755", 
        "issn": [
          "1865-5025", 
          "1865-5033"
        ], 
        "name": "Cellular and Molecular Bioengineering", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "ODE model", 
      "nearest-neighbor interactions", 
      "ordinary differential equation model", 
      "differential equation model", 
      "novel ordinary differential equation model", 
      "Monte Carlo simulations", 
      "Ising model", 
      "simulation results", 
      "MC simulation results", 
      "set of parameters", 
      "computational cost", 
      "Carlo simulations", 
      "MC simulations", 
      "reasonable approximation", 
      "cardiac modeling", 
      "approximation", 
      "detailed model", 
      "transient data", 
      "equation model", 
      "state transitions", 
      "good agreement", 
      "simulations", 
      "powerful tool", 
      "model", 
      "neighboring units", 
      "parameters", 
      "experimental results", 
      "wide range", 
      "probability", 
      "calculations", 
      "modeling", 
      "end interactions", 
      "set", 
      "state", 
      "results", 
      "transition", 
      "co-operative effect", 
      "agreement", 
      "configuration", 
      "dynamic conditions", 
      "interaction", 
      "co-operative activation", 
      "neighboring states", 
      "tool", 
      "conditions", 
      "cost", 
      "range", 
      "units", 
      "reference", 
      "effect", 
      "data", 
      "single unit", 
      "regulatory unit", 
      "cooperative interactions", 
      "end", 
      "reduction", 
      "spatial integrity", 
      "cooperativity", 
      "integrity", 
      "sarcomeres", 
      "cardiac sarcomere", 
      "myofilaments", 
      "twitch", 
      "activation", 
      "novel ODE model", 
      "arbitrary Ca transient data", 
      "Ca transient data", 
      "combinational probability", 
      "consecutive regulatory units", 
      "present ODE model", 
      "Spatially-Detailed Cardiac Sarcomere Model", 
      "Cardiac Sarcomere Model", 
      "Sarcomere Model"
    ], 
    "name": "Approximation for Cooperative Interactions of a Spatially-Detailed Cardiac Sarcomere Model", 
    "pagination": "113-126", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008451149"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12195-011-0219-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22448201"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12195-011-0219-2", 
      "https://app.dimensions.ai/details/publication/pub.1008451149"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_548.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12195-011-0219-2"
  }
]

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

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

162 TRIPLES      22 PREDICATES      100 URIs      91 LITERALS      7 BLANK NODES