Showing 1 - 12 results of 12 for search '(((("i values increased") OR ("auc values decrease"))) OR ("ct largest decrease"))*', query time: 0.85s Refine Results
  1. 1

    Analysis of the circadian waveform of wild-type Drosophila at different temperatures using previously reported experimental data [59]. by Shingo Gibo (21762920)

    Published 2025
    “…The estimated <i>NS</i> values increased significantly at higher temperatures (<i>t</i> = 9.5755, <i>df</i> = 193, <i>p</i> < 0.001).…”
  2. 2

    Climatic conditions of the study region. by Pengcheng Wang (400334)

    Published 2024
    “…Preliminary measurements showed that <i>λ</i> values increased linearly with moisture content but decreased with temperature, whereas <i>C</i> values exhibited a rising trend with both moisture content and freezing temperature. …”
  3. 3

    Soil particle size distribution. by Pengcheng Wang (400334)

    Published 2024
    “…Preliminary measurements showed that <i>λ</i> values increased linearly with moisture content but decreased with temperature, whereas <i>C</i> values exhibited a rising trend with both moisture content and freezing temperature. …”
  4. 4

    Best-F1 values table of Fig 2. by Lorenzo Arsini (15083796)

    Published 2023
    “…Due to the normalisation with respect to the random case, the Best-F1 values increase with the class imbalance, but the ranking of the different measures remains nearly the same.…”
  5. 5

    NMS axis 1 scores (species matrix) over time. by Andrew Kulmatiski (833256)

    Published 2019
    “…Positive y-axis values were associated with native, long-lived perennial communities (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207047#pone.0207047.t001" target="_blank">Table 1</a>; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207047#pone.0207047.g001" target="_blank">Fig 1</a>). NMS 1 values increased with time during 13 years of observation in ex-arable fields, but did not change with time in never-tilled communities or across the chronosequence in either community type.…”
  6. 6

    Novel bisection-method laser scanning strategy for laser powder bed fusion by Wenwen Liu (195246)

    Published 2025
    “…The temperature gradient significantly optimizes as the <i>n</i> value increase, and the highest temperature is reduced by about 85K. …”
  7. 7

    Optimization of coal size for beneficiation efficiency promotion in gas–solid fluidized bed by Xuchen Fan (12447922)

    Published 2022
    “…Fluidization theories, such as pressure drop, gas–solid two-phase model, and particle sedimentation theory could explain that with the decrease in the feeding coal particle size from 10 mm, the probable error <i>E</i> value increases from 0.105 to 0.355 g/cm<sup>3</sup>, the misplaced material content <i>M</i> increases from 5.48% to 16.13%, and the lower limit of the separation is controlled at 5 mm. …”
  8. 8

    Tinnitus evaluation: relationship between pitch matching and loudness, visual analog scale and tinnitus handicap inventory by Islan da Penha Nascimento (7856903)

    Published 2019
    “…Regarding the measures of tinnitus handicap inventory and the visual analogical scale, a significant correlation was observed, and as one value increases the other also increases. Pitch and loudness matching and the visual analogical scale results are also significant. …”
  9. 9

    How to build a genotype network, illustrated with a hypothetical example. by Gabriel Schweizer (9239760)

    Published 2020
    “…We note that fewer pairs of nucleotide strings can be connected through edges as the length of nucleotide strings (and the <i>P</i>-value) increases. We note further that in biological data, multiple individuals may have the same genotype at all positions associated with the phenotype. …”
  10. 10

    Comparison of SISTR (per-locus selection inference) vs. SISTR2 (joint estimation across loci) on simulated data. by Bonnie Huang (2817592)

    Published 2025
    “…Overall, both the selection coefficient distributions obtained from the per-locus and joint methods are more concordant with the ground truth distribution as the mean <i>s</i> value increases.</p> <p>(TIF)</p>…”
  11. 11

    Data_Sheet_1_Classification of Alzheimer’s Disease Based on Deep Learning of Brain Structural and Metabolic Data.docx by Huiquan Wang (13762)

    Published 2022
    “…The results indicated that the mean accuracy of the five experimental model increased from 96 to 100%, the AUC value increased from 0.97 to 1, specificity increased from 90 to 100%, and F1 value increased from 0.97 to 1. Comparing the effect of each metabolite on model performance revealed that the gamma-aminobutyric acid (GABA) + levels in the parietal region resulted in the most significant improvement in model performance, with the accuracy rate increasing from 96 to 98%, the AUC value increased from 0.97 to 0.99 and the specificity increasing from 90 to 95%. …”
  12. 12

    Evolution of LAF1 IDR. by Simon M. Lichtinger (11326846)

    Published 2021
    “…As opposed to the hydrophobicity, the <i>σ</i> values increase for almost all those residues that were changed by the genetic algorithm. …”