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values decrease » values increased (Expand Search), largest decrease (Expand Search)
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
stem decrease » step decrease (Expand Search), sizes decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Showing 1 - 20 results of 14,535 for search '(( i values decrease ) OR ((( _ latent decrease ) OR ( _ ((stem decrease) OR (we decrease)) ))))', query time: 0.69s Refine Results
  1. 1
    Predicting pattern diversity decreases as a function of and .

    Predicting pattern diversity decreases as a function of and . by Selim Haj Ali (21222613)

    Published 2025
    “…<p>For 50 Erdős-Rényi graphs with 30 nodes and 70 edges, we split the results into two columns according to the two initial degenerate unstable eigenmodes  +  : on the left, (if ), and on the right, (if ). …”
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  2. 2
    K1 expression decreases in HA15 treated cells.

    K1 expression decreases in HA15 treated cells. by Guillermo Najarro (19964572)

    Published 2024
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  3. 3
    NSC population and proliferation decrease drastically during the second postnatal week of DG development.

    NSC population and proliferation decrease drastically during the second postnatal week of DG development. by Cristina Medina-Menéndez (21800157)

    Published 2025
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  4. 4
    Study 1_CFA1.

    Study 1_CFA1. by Chen-Yueh Chen (9740047)

    Published 2025
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  5. 5
    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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  6. 6
    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif

    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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  7. 7
    Study 1_EFA.

    Study 1_EFA. by Chen-Yueh Chen (9740047)

    Published 2025
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  8. 8
    Study 2_Experiment 1.

    Study 2_Experiment 1. by Chen-Yueh Chen (9740047)

    Published 2025
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  9. 9
    Study 1_CFA2.

    Study 1_CFA2. by Chen-Yueh Chen (9740047)

    Published 2025
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  10. 10
    Salience of authority-vice phrases by year.

    Salience of authority-vice phrases by year. by Daniel Hart (440152)

    Published 2024
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  11. 11
    Salience of fear words by year by country.

    Salience of fear words by year by country. by Daniel Hart (440152)

    Published 2024
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  12. 12
    Salience of authority-virtue phrases by year.

    Salience of authority-virtue phrases by year. by Daniel Hart (440152)

    Published 2024
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  13. 13
    Salience of loyalty-virtue phrases by year.

    Salience of loyalty-virtue phrases by year. by Daniel Hart (440152)

    Published 2024
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  14. 14
    Salience of loyalty-vice phrases by year.

    Salience of loyalty-vice phrases by year. by Daniel Hart (440152)

    Published 2024
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  15. 15
    Salience of vice and virtue by year in U.S.

    Salience of vice and virtue by year in U.S. by Daniel Hart (440152)

    Published 2024
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  16. 16
    Confirmatory factor analysis results for spectator value cocreation in sports events (N<sub>1</sub> = 300, N<sub>2</sub> = 400).

    Confirmatory factor analysis results for spectator value cocreation in sports events (N<sub>1</sub> = 300, N<sub>2</sub> = 400). by Chen-Yueh Chen (9740047)

    Published 2025
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  17. 17
    Exploratory factor analysis (N = 130) results for spectator value cocreation in sports events (N<sub>1</sub> = 300, N<sub>2</sub> = 400).

    Exploratory factor analysis (N = 130) results for spectator value cocreation in sports events (N<sub>1</sub> = 300, N<sub>2</sub> = 400). by Chen-Yueh Chen (9740047)

    Published 2025
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  18. 18
    Discriminant validity analysis (N<sub>1</sub> = 300, N<sub>2</sub> = 400).

    Discriminant validity analysis (N<sub>1</sub> = 300, N<sub>2</sub> = 400). by Chen-Yueh Chen (9740047)

    Published 2025
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  19. 19
    Deep crypt secretory (DCS) cells are predominantly distributed in the proximal colon, with a progressive decrease towards the distal colon.

    Deep crypt secretory (DCS) cells are predominantly distributed in the proximal colon, with a progressive decrease towards the distal colon. by Daisuke Sugahara (2047696)

    Published 2025
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  20. 20
    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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