5 datasets found
  1. LOF calculation time (seconds) comparison.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Jihwan Lee; Nam-Wook Cho (2023). LOF calculation time (seconds) comparison. [Dataset]. http://doi.org/10.1371/journal.pone.0165972.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jihwan Lee; Nam-Wook Cho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    LOF calculation time (seconds) comparison.

  2. Differences in the Dietary Inflammatory Index (DII) calculated according to...

    • figshare.com
    xls
    Updated Jun 8, 2023
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    Xenia Pawlow; Raffael Ott; Christiane Winkler; Anette-G. Ziegler; Sandra Hummel (2023). Differences in the Dietary Inflammatory Index (DII) calculated according to Shivappa et al. [17] or the Scaling-Formula With Outlier Detection (SFOD) method based on similar food consumption data between subject pairs. [Dataset]. http://doi.org/10.1371/journal.pone.0259629.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xenia Pawlow; Raffael Ott; Christiane Winkler; Anette-G. Ziegler; Sandra Hummel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Differences in the Dietary Inflammatory Index (DII) calculated according to Shivappa et al. [17] or the Scaling-Formula With Outlier Detection (SFOD) method based on similar food consumption data between subject pairs.

  3. Associations between the Dietary Inflammatory Index (DII) calculated...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Xenia Pawlow; Raffael Ott; Christiane Winkler; Anette-G. Ziegler; Sandra Hummel (2023). Associations between the Dietary Inflammatory Index (DII) calculated according to Shivappa, the Scaling-Formula (SF) and Scaling-Formula With Outlier Detection (SFOD) methods and cytokine levelsb'*'. [Dataset]. http://doi.org/10.1371/journal.pone.0259629.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xenia Pawlow; Raffael Ott; Christiane Winkler; Anette-G. Ziegler; Sandra Hummel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Associations between the Dietary Inflammatory Index (DII) calculated according to Shivappa, the Scaling-Formula (SF) and Scaling-Formula With Outlier Detection (SFOD) methods and cytokine levelsb'*'.

  4. S

    Euler number calculation with spots

    • scidb.cn
    Updated May 19, 2025
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    Yu Zhang (2025). Euler number calculation with spots [Dataset]. http://doi.org/10.57760/sciencedb.25091
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 19, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Yu Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Since the small spots in the slices were not completely removed, the calculation of the Euler number was incorrect. Therefore, taking Sr30 as an example, we provide the original liquid phase, the liquid phase after removing noise, and the three-phase data of the noise. After recalculating the Euler number, we confirmed that the calculation error was caused by the noise.The noise removal operation can be performed in ImageJ as follows:​​Process > Noise > Remove Outliers​​, with parameters set to ​​Radius=5​​ and ​​Threshold=0.50

  5. Univariate outlier test results.

    • plos.figshare.com
    xls
    Updated May 2, 2024
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    A. Yuspahruddin; Hafid Abbas; Indra Pahala; Anis Eliyana; Zaleha Yazid (2024). Univariate outlier test results. [Dataset]. http://doi.org/10.1371/journal.pone.0298936.t003
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    xlsAvailable download formats
    Dataset updated
    May 2, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    A. Yuspahruddin; Hafid Abbas; Indra Pahala; Anis Eliyana; Zaleha Yazid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study underscores the significance of assessing the capabilities of rehabilitation officers in navigating challenges, devising innovative work methods, and successfully executing the rehabilitation process. This is particularly crucial amid the dual challenges of overcapacity and the repercussions of the Covid-19 pandemic, making it an essential area for research. To be specific, it aims to obtain empirical evidence about the influence of proactive personality and supportive supervision on proactive work behavior, as well as the mediating role of Role Breadth Self-efficacy and Change Orientation. This research was conducted on all rehabilitation officers at the Narcotics Penitentiary in Sumatra, totaling 272 respondents. This study employs a quantitative method via a questionnaire using a purposive sampling technique. The data was subsequently examined using the Lisrel 8.70 software and Structural Equation Modeling (SEM). It can be concluded from the results that the rehabilitation officers for narcotics addicts at the Narcotics Penitentiary can create and improve proactive work behavior properly through the influence of proactive personality, supportive supervision, role breadth self-efficacy, and change orientation. The study may suggest new ways of working and generate new ideas to increase initiative, encourage feedback, and voice employee concerns. Furthermore, this research has the potential to pinpoint deficiencies in proactive work behavior, serving as a foundation for designing interventions or training programs. These initiatives aim to enhance the innovative and creative contributions of rehabilitation officers in the rehabilitation process.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Click to copy link
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Jihwan Lee; Nam-Wook Cho (2023). LOF calculation time (seconds) comparison. [Dataset]. http://doi.org/10.1371/journal.pone.0165972.t003
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LOF calculation time (seconds) comparison.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Jihwan Lee; Nam-Wook Cho
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

LOF calculation time (seconds) comparison.

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