Search alternatives:
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
e point » _ point (Expand Search), 5 point (Expand Search), a point (Expand Search)
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
e point » _ point (Expand Search), 5 point (Expand Search), a point (Expand Search)
-
66801
Theoretical Mechanistic Study of Nickel(0)/Lewis Acid Catalyzed Polyfluoroarylcyanation of Alkynes: Origin of Selectivity for C–CN Bond Activation
Published 2018“…The cooperative mechanism of Ni(0)/Lewis acid catalyzed carbocyanation of alkyne with 2,3,5,6-tetrafluorobenzonitrile was investigated using the DFT method. …”
-
66802
-
66803
Presentation_2_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.PPTX
Published 2020“…Changes in rainfall amount and intensity result in runoff decreases of 5–10% at the event-scale for the CAI case. …”
-
66804
Presentation_6_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.pptx
Published 2020“…Changes in rainfall amount and intensity result in runoff decreases of 5–10% at the event-scale for the CAI case. …”
-
66805
Data_Sheet_1_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.docx
Published 2020“…Changes in rainfall amount and intensity result in runoff decreases of 5–10% at the event-scale for the CAI case. …”
-
66806
Supplementary figures and tables from Combined Inhibition of mTOR and CDK4/6 Is Required for Optimal Blockade of E2F Function and Long-term Growth Inhibition in Estrogen Receptor–p...
Published 2023“…Vistusertib (AZD2014) causes a decrease in RB phosphorylation in the absence of cell cycle arrest. …”
-
66807
Presentation_1_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.PPTX
Published 2020“…Changes in rainfall amount and intensity result in runoff decreases of 5–10% at the event-scale for the CAI case. …”
-
66808
Presentation_4_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.PPTX
Published 2020“…Changes in rainfall amount and intensity result in runoff decreases of 5–10% at the event-scale for the CAI case. …”
-
66809
Infection of CD 34
Published 2025“…<p><b>+</b><b> humanized mice resulted in decrease in pathogenicity in CTCF Infected mice.</b> A. …”
-
66810
Economical availability of cará flour in diets for commercial laying hens
Published 2018“…Observed too a decrease in profitability from these inclusion levels. …”
-
66811
Changes in macrophage subtype in mice treated with clodronate liposomes.
Published 2013“…Clodronate treatment (n = 9 mice) resulted in a significant decrease in the total number of macrophages by 24 h compared with PBS liposome treatment (n = 12 mice). …”
-
66812
Influence of the molybdenum content in cobalt and molybdenum catalysts supported on magnesium oxide for the production of carbon nanotubes
Published 2021“…Excess of molybdenum in the catalyst caused a decrease in carbon yield and produced nanotubes with a lower degree of graphitization.…”
-
66813
The breathing of four stroke internal combustion engines
Published 2012“…A similar study of the heat pick-up of a spark ignition engine inlet port has failed to produce such a relation. …”
-
66814
Construction and screening of the yeast deletion strain collection
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. …”
-
66815
Table3_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx
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). …”
-
66816
DataSheet1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.DOCX
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). …”
-
66817
DataSheet2_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.DOCX
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). …”
-
66818
Table2_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx
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). …”
-
66819
Table1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx
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). …”
-
66820
Image1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.png
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). …”