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Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...
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[Tumor Data Interacted System Design Based on Grid Platform].

Ying Liu, Jiaji Cao, Haowei Zhang

    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
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    Summary
    This summary is machine-generated.

    A new Tumor Data Interacted System (TDIS) enables real-time sharing and standardized management of massive, heterogeneous tumor data. This system enhances collaborative diagnosis and treatment by improving data accessibility and analysis for better patient care.

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    Area of Science:

    • Oncology
    • Medical Informatics
    • Grid Computing

    Background:

    • Massive and heterogeneous tumor clinical data present challenges for processing.
    • Multi-center collaborative diagnosis and treatment require efficient data sharing and management.

    Purpose of the Study:

    • To establish a Tumor Data Interacted System (TDIS) for processing tumor data.
    • To realize a virtual platform for tumor diagnosis services.
    • To enable real-time information sharing and standardized management of tumor data.

    Main Methods:

    • Utilized Globus Toolkit 4.0 for an open grid service framework.
    • Employed Web Services Resource Framework (WSRF) for data encapsulation.
    • Implemented middleware technology for unified heterogeneous data access.
    • Adopted federated storage and multiple authorization for security.

    Main Results:

    • Achieved real-time sharing and standardized management of tumor information.
    • Optimized interactive processes for flexible querying and calling of tumor data.
    • Enabled cooperative management of multi-center heterogeneous tumor data.
    • Facilitated tumor patient data query, sharing, and analysis.

    Conclusions:

    • The TDIS improves tumor diagnosis and treatment efficiency.
    • The system supports doctors in consulting similar cases and forming multidisciplinary treatment plans.
    • Promotes the development of a collaborative tumor diagnosis model.