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Related Concept Videos

Blank Solutions00:56

Blank Solutions

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A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
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Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
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The growth and maintenance of bone are regulated by a combination of nutritional factors, including vitamins, such as vitamin A, B12, C, D, and K.
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Impact loading occurs when a moving object collides with a stationary structure, such as a rod with a uniform cross-sectional area fixed at one end. Under these conditions, the rod absorbs the kinetic energy from the striking object, leading to deformation and subsequent stress development. As the rod returns to its original position and reaches maximum stress, the absorbed energy, initially manifested as kinetic energy, transforms entirely into strain energy.
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Eccentric Loading01:16

Eccentric Loading

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Eccentric loading is a crucial concept in the study of structural engineering and mechanics, particularly when analyzing the stability and stress distribution in columns. Unlike centric loading, where the force is applied along the centroidal axis, causing uniform compression, eccentric loading occurs when a force is applied off-center. This off-center application introduces not only direct compressive stress but also bending stress, significantly influencing the column's behavior under...
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Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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Related Experiment Video

Updated: Jan 23, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Split4Blank: Maintaining consistency while improving efficiency of loading RDF data with blank nodes.

Atsuko Yamaguchi1, Yasunori Yamamoto1

  • 1Database Center for Life Science (DBCLS), Research Organization of Information and Systems, Kashiwa, Chiba, Japan.

Plos One
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

Split4Blank efficiently loads large life sciences Resource Description Framework (RDF) datasets to triple stores by intelligently splitting data. This tool ensures dataset consistency by preventing blank node separation during parallel loading, improving data management.

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Data Management

Background:

  • Rapid advancements in sequencing technology generate massive life sciences datasets.
  • Loading large Resource Description Framework (RDF) datasets into triple stores is time-consuming.
  • Parallel loading improves efficiency but poses challenges with dataset consistency due to blank nodes.

Purpose of the Study:

  • To propose a novel tool, Split4Blank, for efficient and consistent parallel loading of RDF datasets.
  • To address the challenge of maintaining dataset integrity when splitting RDF data containing blank nodes for parallel processing.

Main Methods:

  • Developed the Split4Blank tool utilizing connected component and multiprocessor scheduling algorithms.
  • Ensured that identical blank nodes are not separated across different files during dataset splitting.
  • Applied the tool to real-world life sciences RDF datasets (e.g., UniProt, PubChem) and synthetic datasets.

Main Results:

  • Split4Blank successfully splits RDF datasets while preserving the integrity of blank nodes.
  • Demonstrated the effectiveness of the proposed approach on large-scale life sciences data.
  • Evaluated the scalability of Split4Blank using various graph properties.

Conclusions:

  • Split4Blank offers an effective solution for efficient and consistent parallel loading of large RDF datasets in life sciences.
  • The tool enhances data management for bioinformatics research by overcoming blank node challenges.
  • Split4Blank provides a scalable method for handling growing biological data volumes.