Showing 11,181 - 11,200 results of 25,035 for search '(( 50 ((ms decrease) OR (mean decrease)) ) OR ( 100 ((a decrease) OR (we decrease)) ))', query time: 0.98s Refine Results
  1. 11181

    The method presented in this paper for quickly identifying a network’s MIB using spectral clustering makes it possible to quickly measure integrated information in large brain netw... by Daniel Toker (6311834)

    Published 2019
    “…For each value of <i>p</i>, we generated 50 100-node networks, and generated time-series data for each of those networks using the stochastic Rössler oscillator model. …”
  2. 11182
  3. 11183

    Video_1_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.MPG by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  4. 11184

    Differential inhibition of activity, activation and gene expression of MMP-9 in THP-1 cells by azithromycin and minocycline versus bortezomib: A comparative study by Jennifer Vandooren (3901156)

    Published 2017
    “…With exception of minocycline at high concentrations (>100 μM), the compounds did not affect processing of proMMP-9 into MMP-9, nor did they affect direct MMP-9 gelatinolytic activity. …”
  5. 11185

    Video_5_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.MPG by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  6. 11186

    Video_6_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.MPG by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  7. 11187

    Video_2_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.MPG by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  8. 11188

    Image_2_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.TIFF by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  9. 11189

    Video_4_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.MPG by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  10. 11190

    Video_3_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.MPG by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  11. 11191

    Image_1_Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.TIFF by Richard H. Clayton (655829)

    Published 2018
    “…The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. …”
  12. 11192

    CD8<sup>+</sup> T cells are not regulated by a PD-1-dependent mechanism in chronic <i>T</i>. <i>cruzi</i> infection. by Angela D. Pack (5954858)

    Published 2018
    “…<p>(A) The proportion of PD-1+ parasite-specific CD8<sup>+</sup> spleen and muscle derived cells decreases between acute (<40d) and chronic infection (>100d). …”
  13. 11193

    Data_Sheet_1_Unmet healthcare needs predict frailty onset in the middle-aged and older population in China: A prospective cohort analysis.pdf by Jun Li (6494)

    Published 2023
    “…Random-effects logistic regression shows that unmet outpatient healthcare needs were associated with increased risk of both contemporaneous (adjusted OR [aOR], 1.17; 95% CI, 1.02–1.35) and lagged (aOR, 1.24; 95% CI, 1.05–1.45) frailty, as were unmet inpatient needs (contemporaneous: aOR, 1.28; 95% CI, 1.00–1.64; lagged: aOR, 1.55; 95% CI, 1.17–2.06). …”
  14. 11194

    Data_Sheet_1_Excess multi-cause mortality linked to influenza virus infection in China, 2012–2021: a population-based study.docx by Tian-Lu Yin (18698284)

    Published 2024
    “…A total of 327,520 samples testing positive for influenza virus were isolated between 2012 and 2021, with a significant decrease in the positivity rate observed during the periods of 2012–2013 and 2019–2020. …”
  15. 11195

    Data_Sheet_1_Unmet healthcare needs predict frailty onset in the middle-aged and older population in China: A prospective cohort analysis.pdf by Jun Li (6494)

    Published 2023
    “…Random-effects logistic regression shows that unmet outpatient healthcare needs were associated with increased risk of both contemporaneous (adjusted OR [aOR], 1.17; 95% CI, 1.02–1.35) and lagged (aOR, 1.24; 95% CI, 1.05–1.45) frailty, as were unmet inpatient needs (contemporaneous: aOR, 1.28; 95% CI, 1.00–1.64; lagged: aOR, 1.55; 95% CI, 1.17–2.06). …”
  16. 11196

    Data_Sheet_1_Excess multi-cause mortality linked to influenza virus infection in China, 2012–2021: a population-based study.docx by Tian-Lu Yin (18698284)

    Published 2024
    “…A total of 327,520 samples testing positive for influenza virus were isolated between 2012 and 2021, with a significant decrease in the positivity rate observed during the periods of 2012–2013 and 2019–2020. …”
  17. 11197

    DataSheet_1_Fractionation of toxic metal Pb from truly dissolved and colloidal phases of seaward rivers in a coastal delta.docx by Peng Ren (337555)

    Published 2023
    “…This suggests that human activity contributes to the spread of Pb in the offshore environment. The concentration of 100 kDa–0.22 μm Pb has a postive correlation with total colloidal Pb. …”
  18. 11198

    Prevalence and Factors Associated with Road Traffic Crash among Taxi Drivers in Mekelle Town, Northern Ethiopia, 2014: A Cross Sectional Study by Nigus Gebremedhin Asefa (704062)

    Published 2015
    “…</p><p>Findings</p><p>Among the 712 taxi drivers, 26.4% (n = 188) of them reported involvement in a road traffic crash within the past 3 years. Drivers who listened to mass media had decreased likelihood of road traffic crash involvement (AOR = 0.51, 0.33–0.78), while speedy driving (AOR = 4.57, 3.05–7.44), receipt of a prior traffic punishment (AOR = 4.57, 2.67–7.85), and driving a mechanically faulty taxi (AOR = 4.91, 2.81–8.61) were strongly associated with road traffic crash involvement. …”
  19. 11199

    Table_1_Fasting mimicking diet during neo-adjuvant chemotherapy in breast cancer patients: a randomized controlled trial study.DOCX by Alireza Bahrami (11597663)

    Published 2024
    “…</p>Methods<p>Forty-four newly diagnosed human epidermal growth factor receptor 2-negative (HER2-negative) patients with BC were randomized equally into two groups (22 each), to receive either a fasting mimicking diet (FMD) or their regular diet for 3 days prior to and during neoadjuvant chemotherapy. …”
  20. 11200

    Data_Sheet_1_Changes in blood pressure and related risk factors among nurses working in a negative pressure isolation ward.pdf by Yaoyao Wang (1405645)

    Published 2022
    “…The standardized score from the self-rating anxiety scale (SAS) was significantly associated with an increased risk of ΔBP ≥ 5 mm Hg (odds ratio [OR] = 1.12, 95% CI: 1.00–1.24). Working 6 h/day (vs. 5 h/day) in NPIW was non-significantly related to decreased risk of ΔBP (OR = 0.70), while ≥ 2 consecutive working days (vs. 1 working day) was non-significantly associated with increased risk of ΔBP (OR = 1.50).…”