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( a ) <t>Coefficient</t> of friction of austempered disks and quenched-tempered disks; ( b ) COF vs. sliding time for 288 °C austempered disk.
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(A) Untargeted full-resolution 1H NMR profile of E. coli and spectral expansion between 6.8 and 7.2 ppm. NMR spectra in gray or orange correspond to IBAT or individual batches, respectively. (B) Radial plot representing the <t>coefficient</t> of variation (CV) for annotated metabolites using the same colors. The length of spokes corresponds to the CV of each metabolite. (C) Each data point represents the mean-centered peak height in each sample. Experimental IBAT samples are depicted in orange, and individual batches are depicted in gray. Cyan data points represent the simulated metabolite peak heights per number of averaged batches. Light gray-shaded areas represent ±1 standard deviation from the mean. Iva, isovalerate; Leu, leucine; Val, valine; Ile, isoleucine; 3 Hba, 3-hydroxybutyrate; Lac, lactate; Cad, cadaverine; AcOH, acetate; Glu, glutamate; Met, methionine; Asp, aspartate; Bet, betaine; Rib, ribose; Ura, uracil; Fum, fumarate; Tyr, tyrosine; Phe, phenylalanine; niacin, nicotinic acid; and Form, formate.
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Image Search Results


( a ) Coefficient of friction of austempered disks and quenched-tempered disks; ( b ) COF vs. sliding time for 288 °C austempered disk.

Journal: Materials

Article Title: Wear Resistance of Medium Carbon Steel with Different Microstructures

doi: 10.3390/ma14082015

Figure Lengend Snippet: ( a ) Coefficient of friction of austempered disks and quenched-tempered disks; ( b ) COF vs. sliding time for 288 °C austempered disk.

Article Snippet: The coefficient of friction was automatically monitored and collected by the UMT3 (Bruker, San Jose, CA, USA) wear tester.

Techniques:

(A) Untargeted full-resolution 1H NMR profile of E. coli and spectral expansion between 6.8 and 7.2 ppm. NMR spectra in gray or orange correspond to IBAT or individual batches, respectively. (B) Radial plot representing the coefficient of variation (CV) for annotated metabolites using the same colors. The length of spokes corresponds to the CV of each metabolite. (C) Each data point represents the mean-centered peak height in each sample. Experimental IBAT samples are depicted in orange, and individual batches are depicted in gray. Cyan data points represent the simulated metabolite peak heights per number of averaged batches. Light gray-shaded areas represent ±1 standard deviation from the mean. Iva, isovalerate; Leu, leucine; Val, valine; Ile, isoleucine; 3 Hba, 3-hydroxybutyrate; Lac, lactate; Cad, cadaverine; AcOH, acetate; Glu, glutamate; Met, methionine; Asp, aspartate; Bet, betaine; Rib, ribose; Ura, uracil; Fum, fumarate; Tyr, tyrosine; Phe, phenylalanine; niacin, nicotinic acid; and Form, formate.

Journal: Analytical chemistry

Article Title: Long-Term Metabolomics Reference Material

doi: 10.1021/acs.analchem.1c01294

Figure Lengend Snippet: (A) Untargeted full-resolution 1H NMR profile of E. coli and spectral expansion between 6.8 and 7.2 ppm. NMR spectra in gray or orange correspond to IBAT or individual batches, respectively. (B) Radial plot representing the coefficient of variation (CV) for annotated metabolites using the same colors. The length of spokes corresponds to the CV of each metabolite. (C) Each data point represents the mean-centered peak height in each sample. Experimental IBAT samples are depicted in orange, and individual batches are depicted in gray. Cyan data points represent the simulated metabolite peak heights per number of averaged batches. Light gray-shaded areas represent ±1 standard deviation from the mean. Iva, isovalerate; Leu, leucine; Val, valine; Ile, isoleucine; 3 Hba, 3-hydroxybutyrate; Lac, lactate; Cad, cadaverine; AcOH, acetate; Glu, glutamate; Met, methionine; Asp, aspartate; Bet, betaine; Rib, ribose; Ura, uracil; Fum, fumarate; Tyr, tyrosine; Phe, phenylalanine; niacin, nicotinic acid; and Form, formate.

Article Snippet: 12 Coefficient of variation (CV) calculations, variance, %variance, and Fligner−Killeen test were carried out in Matlab.

Techniques: Standard Deviation