Showing 145,681 - 145,700 results of 224,509 for search '(( a ((((linear decrease) OR (a decrease))) OR (larger decrease)) ) OR ( a largest decrease ))', query time: 2.03s Refine Results
  1. 145681

    Data_Sheet_1_Changes in dynamic and static brain fluctuation distinguish minimal hepatic encephalopathy and cirrhosis patients and predict the severity of liver damage.docx by Jiang Ji (10076527)

    Published 2023
    “…The severity of liver damage was reflected by the Child–Pugh score. dALFF, sALFF and both two features were used to predict Child–Pugh scores in MHE patients using a general linear model.</p>Results<p>Compared with HCs, MHE patients showed significantly increased dALFF in the left inferior occipital gyrus, right middle occipital gyrus, and right insula; increased dALFF was also observed in the right posterior lobe of the cerebellum (CPL) and right thalamus. …”
  2. 145682

    Table 1_Association between combined urinary phthalate metabolites exposure and grip strength among residents in Guangzhou, China.docx by Jinbin Chen (4468570)

    Published 2025
    “…BKMR model analysis revealed a significant negative correlation between co-exposure to urinary mPAEs and grip strength, with mMP being the most significant contributor.…”
  3. 145683

    Changes in volume, mass, and end-diastolic strain during experimental MR in dogs. by Johane H. Bracamonte (12883844)

    Published 2025
    “…<p>a) Fitted data on fold changes show a) a 36% increase in LVM [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref015" target="_blank">15</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref016" target="_blank">16</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref020" target="_blank">20</a>–<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref033" target="_blank">33</a>] and b) 67% increase in LV end-diastolic volume (V<sub><i>ED</i></sub>) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref016" target="_blank">16</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref017" target="_blank">17</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref020" target="_blank">20</a>–<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref026" target="_blank">26</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref029" target="_blank">29</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref032" target="_blank">32</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref033" target="_blank">33</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref061" target="_blank">61</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref078" target="_blank">78</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref080" target="_blank">80</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref082" target="_blank">82</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref083" target="_blank">83</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref131" target="_blank">131</a>–<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012390#pcbi.1012390.ref136" target="_blank">136</a>] on average at steady-state. c) In a spherical model, these changes imply a 20% increase followed by a gradual decrease below baseline in end-diastolic strain on average, with a wide range of trajectories possible for different combinations of mass and volume change. d) Calculated chronic strain levels are lower when LVM increases more. …”
  4. 145684

    Data_Sheet_1_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.DOCX... by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  5. 145685

    Table_13_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  6. 145686

    Synthesis and Structural Characterization of Inorganic-Organic-Inorganic Hybrids of Dipalladium-Substituted γ‑Keggin Silicodecatungstates by Tomohisa Hirano (1985809)

    Published 2016
    “…The powder X-ray diffraction (XRD) pattern of <b>IV</b><sub><b>A</b></sub> changed with decrease in the relative DCE vapor pressure to form <b>IV</b><sub><b>C</b></sub> (<b>IV</b><sub><b>C</b></sub>: <b>IV</b> with 0.7DCE) at <i>P</i>/<i>P</i><sub>0</sub> = 0.0. …”
  7. 145687

    Improved modeling of Akt and mTOR. by Alessandro Bertuzzi (379953)

    Published 2016
    “…<p><b>(A)</b> PIP3 recruits PDK1 and Akt to the plasma membrane. …”
  8. 145688

    Table_12_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xls by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  9. 145689

    eIF3d1 phosphorylation but not cap-binding is required for CySC self-renewal. by Ruoxu Wang (9312306)

    Published 2025
    “…Phospho-dead eIF3d1 expression results in a significant decrease in CySC numbers (<i>N</i> ≥ 18 testes, * <i>P</i> < 0.05, ns <i>P</i> = 0.1150 (eIF3d1<sup>WT</sup>) or <i>P</i> > 0.9999 (eIF3d1<sup>DD</sup>), Kruskal-Wallis test). …”
  10. 145690

    Table_6_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  11. 145691

    Table_3_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  12. 145692

    Table_5_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  13. 145693

    Table_2_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  14. 145694

    Table_9_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  15. 145695

    Table_11_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  16. 145696

    mass-spec-data-JCS-259145.zip by Lizbeth de la Cruz (11976157)

    Published 2022
    “…PIP5KIγ also increases the prevalence of PtdIns<i>P</i>3 by 54%.</p><p><i>Dvl3 decreases PtdInsP and increases PtdInsP2</i> <i>and PtdInsP3</i></p><p>We repeated these mass spectrometry measurements in cells overexpressing Dvl3 and found a 27% decrease in PtdIns<i>P</i>, a 21% increase in PtdIns<i>P</i>2, and a 66% increase in PtdIns<i>P</i>3.…”
  17. 145697

    ATF4 knockdown in the ADRP retinas reduces overall ER stress response (N = 4). by Yogesh Bhootada (408443)

    Published 2016
    “…The T17M ATF4<sup>+/-</sup> retinas were the only group with a significant decrease in peIF2a (P<0.01 as compared to T17M retinas) and increased GADD34 protein levels (<i>P</i><0.05 for all groups). …”
  18. 145698

    Table_7_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xls by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  19. 145699

    Table_4_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

    Published 2022
    “…Downregulated A0A3B6Q9B3 is involved in nitrate transport, whereas A0A3B6PQS3 is a ferredoxin-nitrite reductase. …”
  20. 145700

    Dependence of the Conceptual Distance <i>d</i>(<i>N</i>) on Dataset Size for Different Document Removal Strategies. by Artem Chumachenko (21681455)

    Published 2025
    “…</p> <p>To demonstrate that the dynamics of the conceptual distance <i>d</i> for a given pair of concepts <i>A</i> and <i>B</i> is weakly influenced by the size of the data set <i>N</i> and the increasing number of background documents with zero concept frequencies, and that the primary driver of the decrease in conceptual distance is the number of documents mentioning both concepts <i>N</i><sub><i>AB</i></sub>, we present in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0327793#pone.0327793.s003" target="_blank">S2 Fig</a> the time series for key metrics observed for multiple pairs of concepts in the studied dataset. …”