Showing 1,261 - 1,280 results of 7,149 for search 'significantly ((((largest decrease) OR (greater decrease))) OR (we decrease))', query time: 0.42s Refine Results
  1. 1261

    Flow chart of proposed system. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  2. 1262

    Literature review. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  3. 1263

    IMU data and video synchronization. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  4. 1264

    Confusion matrix-punch classification. by Saravanan Manoharan (21273304)

    Published 2025
    “…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”
  5. 1265

    Demographics of the enrolled patients. by Yuka Kasai (21354922)

    Published 2025
    “…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”
  6. 1266

    Overhead view of the eye drop aid. by Yuka Kasai (21354922)

    Published 2025
    “…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”
  7. 1267

    Data. by Michael C. Payne (2664379)

    Published 2025
    “…Using a generalized estimating equation model that accounted for age, sex, bednet use, and sentinel site, we found no significant difference in the effectiveness of the two treatment approaches (p = 0.845 for Mf and p = 0.332 for CFA). …”
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  12. 1272

    Attitude towards NTDs in the study Area. by Uchechukwu M. Chukwuocha (6685790)

    Published 2025
    “…<div><p>Background</p><p>Neglected Tropical Diseases (NTDs) continue to significantly impact marginalized communities, contributing to high morbidity, stigma, and social exclusion. …”
  13. 1273

    Dataset of results. by Uchechukwu M. Chukwuocha (6685790)

    Published 2025
    “…<div><p>Background</p><p>Neglected Tropical Diseases (NTDs) continue to significantly impact marginalized communities, contributing to high morbidity, stigma, and social exclusion. …”
  14. 1274

    Respondents’ perception about the public artwork. by Uchechukwu M. Chukwuocha (6685790)

    Published 2025
    “…<div><p>Background</p><p>Neglected Tropical Diseases (NTDs) continue to significantly impact marginalized communities, contributing to high morbidity, stigma, and social exclusion. …”
  15. 1275

    Prescription data. by Dainty Ei (22265317)

    Published 2025
    “…Despite less restrictive measures in the first stage of the pandemic, Sweden experienced significant mental health consequences and changes in psychotropic medication prescribing.…”
  16. 1276

    Comparison of absolute and relative errors. by Lahoucine Tadoummant (21647670)

    Published 2025
    “…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …”
  17. 1277

    Rate of convergence for relative errors. by Lahoucine Tadoummant (21647670)

    Published 2025
    “…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …”
  18. 1278

    Ultrafine Particulate Matter Exacerbates the Risk of Delayed Neural Differentiation: Modulation Role of METTL3-Mediated m<sup>6</sup>A Modification by Rui Wang (52434)

    Published 2025
    “…By employing <i>N</i>6-methyladenosine (m<sup>6</sup>A) methylated RNA immunoprecipitation sequencing and bioinformatics, we identified <i>Zic1</i> as a key target of PM<sub>0.1</sub>-induced developmental disturbances. …”
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