Showing 63,061 - 63,080 results of 100,888 for search '(( 5 ((step decrease) OR (we decrease)) ) OR ( 5 ((a decrease) OR (nn decrease)) ))', query time: 1.64s Refine Results
  1. 63061

    Unsafe transition period anomalies. by Joshua Culpepper (20416983)

    Published 2024
    “…We show that although many lakes are forecasted to freeze, they will be unsafe to use for an average of 5 to 29 fewer days in a 4°C warmer world for 100% black and 100% white ice ratios, respectively. …”
  2. 63062

    Unsafe transition period standard deviation. by Joshua Culpepper (20416983)

    Published 2024
    “…We show that although many lakes are forecasted to freeze, they will be unsafe to use for an average of 5 to 29 fewer days in a 4°C warmer world for 100% black and 100% white ice ratios, respectively. …”
  3. 63063

    Table3_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx by Ana María Sánchez de la Nava (13945119)

    Published 2022
    “…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”
  4. 63064

    DataSheet1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.DOCX by Ana María Sánchez de la Nava (13945119)

    Published 2022
    “…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”
  5. 63065

    DataSheet2_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.DOCX by Ana María Sánchez de la Nava (13945119)

    Published 2022
    “…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”
  6. 63066

    Table2_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx by Ana María Sánchez de la Nava (13945119)

    Published 2022
    “…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”
  7. 63067

    Table1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx by Ana María Sánchez de la Nava (13945119)

    Published 2022
    “…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”
  8. 63068

    Image1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.png by Ana María Sánchez de la Nava (13945119)

    Published 2022
    “…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”
  9. 63069

    Influence of the molybdenum content in cobalt and molybdenum catalysts supported on magnesium oxide for the production of carbon nanotubes by Thayana Goulart (10471918)

    Published 2021
    “…Excess of molybdenum in the catalyst caused a decrease in carbon yield and produced nanotubes with a lower degree of graphitization.…”
  10. 63070

    The breathing of four stroke internal combustion engines by F.H. Khassaf (7120370)

    Published 2012
    “…A similar study of the heat pick-up of a spark ignition engine inlet port has failed to produce such a relation. …”
  11. 63071

    Construction and screening of the yeast deletion strain collection by Bart Scherens (4107)

    Published 2011
    “…Selection leads to an increase in the proportion of some strains in the culture and a decrease of others; these changes can be detected by probing a microarray containing the sequences complementary to the barcodes. …”
  12. 63072

    Different simulation protocols of increased firing and depressed activity. by Isabelle Ayumi Spühler (444465)

    Published 2013
    “…Varying the phasic activity across A, B and C, shows that changes in dopamine concentration depend on the distance to a release site, but that even 5 µm away from a release site a change in the dopamine level is evident.…”
  13. 63073

    TL plots of the Derbyshire data following data manipulation. by Quentin S. Hanley (637406)

    Published 2014
    “…Panels c and d model the effects of applying a threshold to the reports. Panel a shows data subjected to an incentive to reach 10 reports a month operating above 5 reports. …”
  14. 63074

    Evolution of Salmonella Chromosomes and Its Influence on Gene Expression and Chromosomal Conformation by Yueming Hu (17780841)

    Published 2024
    “…The computation order of BactCG decreases to n.</p><p dir="ltr">For specific usage of BactCG, please refer to <a href="http://61.160.194.165:3080/ESG/tools/BactCG/" target="_blank">dbESG</a>.…”
  15. 63075

    Data_Sheet_1_Anaemia among women of reproductive age in selected sub-Saharan African countries: multivariate decomposition analyses of the demographic and health surveys data 2008–... by Mohammed Gazali Salifu (11888625)

    Published 2024
    “…</p>Results<p>Ghana and Sierra Leone experienced 17.07% [95% CI: 14.76–19.37, p < 0.001] and 1% [95% CI: 1.0–2.9, p > 0.05] of anaemia decrease from period 1 to period 2, respectively, while Mali and Benin experienced 11% [95% CI: 9.14–12.90, p < 0.001] and 16.7% [95% CI: 14.99–18.5, p < 0.001] of increase in anaemia prevalence from period 1 to period 2, respectively. …”
  16. 63076

    The selective erbB2 antagonist AG825 dampens the NRG1α-induced MRVA. by Christopher G. Kanakry (83122)

    Published 2007
    “…<p>Administration of AG825 in DMSO vehicle (n = 5) caused a robust, dose-dependent decrease in the MRVA induced by NRG1α. …”
  17. 63077

    Activity responses to cerebroventricular (ICV) administration of leptin. by Ana C. Ribeiro (210764)

    Published 2011
    “…<p>(<i>A</i>) ICV leptin (5 ng/h) increased HCA during weeks 1 (*p≤0.05) and 2 in <i>obob</i> mice. …”
  18. 63078

    Kinetic signatures of acylcarnitines. by Marc Breit (789355)

    Published 2015
    “…An early response pattern is shown for valerylcarnitine (C5) with a decrease in relative concentration of approx. 16%. …”
  19. 63079

    Fig 8 - by Antoine H. P. Morice (5278511)

    Published 2021
    “…., keep velocity constant, * symbols) and push actions on collective stick (i.e., decrease velocity, ▼ symbols) as a function of current value at their onset. …”
  20. 63080

    Variance parameters for person-caused fires. by Devan G. Becker (13272469)

    Published 2022
    “…<p>Again, there is a slight decrease in the estimates for region 5 and <i>σ</i><sub><i>b</i></sub> with an increase in the AR(1) parameter.…”