Showing 17,361 - 17,380 results of 63,728 for search '(( a ((((mean decrease) OR (larger decrease))) OR (linear decrease)) ) OR ( a large decrease ))', query time: 1.02s Refine Results
  1. 17361

    Image_3_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  2. 17362

    Image_10_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  3. 17363

    Image_1_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  4. 17364

    Image_5_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  5. 17365

    Table_3_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.docx by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  6. 17366

    Image_2_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  7. 17367

    Image_6_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

    Published 2023
    “…</p>Objective<p>To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.</p>Methods<p>This is a multi-center retrospective study. …”
  8. 17368

    Mean of indirect effects per network in relation to recovery biomass of plant–pollinator networks for 2 levels of individual variation and different levels of <i>γ</i><sub>0</sub>.... by Gaurav Baruah (7257587)

    Published 2024
    “…<p>(A) Mean net indirect effects, i.e., <i>β</i>, was below zero across different <i>γ</i><sub>0</sub> and for all matrices with spectral radius less than 1. …”
  9. 17369

    Knowledge and use of HIV pre-exposure prophylaxis among men who have sex with men in Berlin – A multicentre, cross-sectional survey by Ricardo Niklas Werner (5746784)

    Published 2018
    “…<div><p>Background</p><p>HIV pre-exposure prophylaxis (PrEP) has likely contributed to large decreases in HIV incidence among men who have sex with men (MSM) in several major cities. …”
  10. 17370
  11. 17371
  12. 17372
  13. 17373

    A model of a yeast cell with a simplified glycolysis pathway. by Albertas Janulevicius (732672)

    Published 2021
    “…A cell grows (increases in volume) when its health <i>H</i> is at the maximal value and <i>v</i><sub>atp</sub> is larger than obligatory cellular maintenance cost <i>v</i><sub>atp,c</sub>. …”
  14. 17374

    Pseudo first-order rate constants for CIII formation (<i>k</i> CIII(obs)), enzyme inactivation (<i>k</i><sub>i(obs)</sub>) and heme bleaching (<i>k</i><sub>b(obs)</sub>) of native... by Verónica Sáez-Jiménez (731925)

    Published 2015
    “…CIII formation was measured as the absorbance increase at 581 nm (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124750#pone.0124750.g008" target="_blank">Fig 8A</a>) and heme bleaching as the absorbance decrease at 419 nm (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124750#pone.0124750.g008" target="_blank">Fig 8B</a>). …”
  15. 17375
  16. 17376

    Quality of Vitamin K Antagonist Control and 1-Year Outcomes in Patients with Atrial Fibrillation: A Global Perspective from the GARFIELD-AF Registry by Sylvia Haas (414005)

    Published 2025
    “…</p><p dir="ltr"><br></p><p dir="ltr"><b>Conclusion</b></p><p dir="ltr">A large proportion of patients with AF had poor VKA control and these patients had higher risks of stroke/SE, major bleeding, and all-cause mortality. …”
  17. 17377

    Quality of Vitamin K Antagonist Control and 1-Year Outcomes in Patients with Atrial Fibrillation: A Global Perspective from the GARFIELD-AF Registry by Sylvia Haas (414005)

    Published 2016
    “…</p><p>Conclusion</p><p>A large proportion of patients with AF had poor VKA control and these patients had higher risks of stroke/SE, major bleeding, and all-cause mortality. …”
  18. 17378
  19. 17379
  20. 17380

    Drebrin phosphorylation on S142 regulates neuroblast morphology and orientation <i>in vivo</i>. by Martina Sonego (481270)

    Published 2015
    “…(B) Quantitative morphological analysis also shows a decrease in leading process length for wt, S142A and S142D compared to the control (mean ± SEM; n = 8 brains for empty vector; n = 5 brains for wt, S142A, and S142D drebrin; *<i>P</i><0.05, **<i>P</i><0.01, ***<i>P</i><0.001). …”