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Showing 1 - 20 results of 5,150 for search '(( values ((set decrease) OR (a decrease)) ) OR ( ai ((large decrease) OR (marked decrease)) ))', query time: 0.57s Refine Results
  1. 1
    Table 1_Food scarcity and decrease in income are associated with depression after COVID-19 pandemic in rural settings.docx

    Table 1_Food scarcity and decrease in income are associated with depression after COVID-19 pandemic in rural settings.docx by Dharmendra Gahwai (20987825)

    Published 2025
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  2. 2
    The A1 mutation decreases antisense transcriptional activity of the LTR in OVK cells.

    The A1 mutation decreases antisense transcriptional activity of the LTR in OVK cells. by Thomas Joris (13224720)

    Published 2024
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  3. 3
    iKIR score decreases protection associated with protective class II genotypes in T1D.

    iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

    Published 2024
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  4. 4
    An illustration for the lineages identification procedure. Left panel: Each leaf represents a cell, characterized by its measured set of barcodes, denoted as . Each individual barcode is identified and named by a unique integer number. A distance matrix <i>d</i> ( <i>X</i> , <i>Y</i> )  is computed for all cells to measure the dissimilarity between their barcode sets, see Eq. (6). This distance matrix is used to construct a dendrogram through agglomerative clustering. Right panel: We vary the threshold and count the number of inferred clusters. That value determines the required matching threshold for the lineages’ construction. Note that the data and threshold values shown in this illustration are for demonstration and visualization purposes only. The presented data set is truncated and small, whereas the actual systems examined in the manuscript involve thous

    An illustration for the lineages identification procedure. Left panel: Each leaf represents a cell, characterized by its measured set of barcodes, denoted as . Each individual barc... by Nava Leibovich (12908477)

    Published 2025
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  5. 5
    Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence. Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown.

    Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence. Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown. by Harry Saxton (19165441)

    Published 2025
    “…<p>Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0326112#pone.0326112.e114" target="_blank">Eq 11</a>, shown in decreasing order of influence. …”
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  6. 6
    WT data of set A398E/V and set M1425V/I pooled for better comparison.

    WT data of set A398E/V and set M1425V/I pooled for better comparison. by Yousra El Ghaleb (22075892)

    Published 2025
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  7. 7
    Cells lacking Cbf11 and/or Mga2 display nutrient-responsive decrease in lipid droplet (LD) content.

    Cells lacking Cbf11 and/or Mga2 display nutrient-responsive decrease in lipid droplet (LD) content. by Anna Marešová (14375187)

    Published 2024
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  8. 8
    Changes in work exposure as a function of relative time for seven fixed values of mean exposure.

    Changes in work exposure as a function of relative time for seven fixed values of mean exposure. by Danuta Roman-Liu (8532645)

    Published 2025
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  9. 9
    Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets.

    Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

    Published 2025
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  10. 10
    Comparison of WEI values for two scenarios.

    Comparison of WEI values for two scenarios. by Danuta Roman-Liu (8532645)

    Published 2025
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  11. 11
    Input parameter rankings for continuous measurements: Input parameters (P) and their corresponding influence values (E) calculated using eqn 11, displayed in decreasing order of influence for each continuous measurement set (from Set 1A to Set 4D). The table shows how influence rankings evolve as additional continuous measurements are incorporated. Note, only parameters with influence values exceeding 0.01 are included.

    Input parameter rankings for continuous measurements: Input parameters (P) and their corresponding influence values (E) calculated using eqn 11, displayed in decreasing order of influence for each continuous measurement set (from Set 1A to Set 4D).... by Harry Saxton (19165441)

    Published 2025
    “…<p>Input parameter rankings for continuous measurements: Input parameters (P) and their corresponding influence values (E) calculated using <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0326112#pone.0326112.e114" target="_blank">eqn 11</a>, displayed in decreasing order of influence for each continuous measurement set (from Set 1A to Set 4D). …”
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  12. 12
    Decreased expression of TCA cycle and ETC enzymes in kidneys from rats administered Tl.

    Decreased expression of TCA cycle and ETC enzymes in kidneys from rats administered Tl. by Sho Sugahara (11895828)

    Published 2024
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  13. 13
    Class-wise performance on the test set.

    Class-wise performance on the test set. by Muhammad Zubair (728141)

    Published 2025
    “…<div><p>Alzheimer’s disease (AD) is a neurodegenerative illness causing a significant decrease in cognitive function, and early, accurate diagnosis is of great therapeutic and diagnostic value. …”
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  14. 14
    Changes in blood pressure, HbA1c, blood lipid and liver function-related indicator values compared with baseline values in all patients over time.

    Changes in blood pressure, HbA1c, blood lipid and liver function-related indicator values compared with baseline values in all patients over time. by Jia Song (495396)

    Published 2025
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  15. 15
    The MAE value of the model under raw data.

    The MAE value of the model under raw data. by Xiangjuan Liu (618000)

    Published 2025
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  16. 16
    Three error values under raw data.

    Three error values under raw data. by Xiangjuan Liu (618000)

    Published 2025
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  17. 17
    The ROC curves and AUC values of the diagnostic model.

    The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

    Published 2024
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  18. 18
    Values of <i>g</i>(<i>a</i><sub><i>i</i></sub>) satisfying Eq (2) for each action rule in <i>A</i>

    Values of <i>g</i>(<i>a</i><sub><i>i</i></sub>) satisfying Eq (2) for each action rule in <i>A</i> by Hitoshi Yamamoto (738861)

    Published 2025
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  19. 19
    Diagnostic value of the 8 hub genes in the GSE52093 dataset.

    Diagnostic value of the 8 hub genes in the GSE52093 dataset. by Wei He (131453)

    Published 2025
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  20. 20
    Respective increase and decrease in Myc and NRF1/TFAM in kidneys from rats administered Tl.

    Respective increase and decrease in Myc and NRF1/TFAM in kidneys from rats administered Tl. by Sho Sugahara (11895828)

    Published 2024
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