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Sensitivity graphic representation

These mathematical and graphical representations serve to highlight the main advantages of using FRET as a transduction mechanism it is highly sensitive to the distance between the two molecules, and the ratiometric nature allows variations in... [Pg.283]

EIS is very sensitive to the conversion coating breakdown process, and changes in coating corrosion protection can be recognized in graphical representations of... [Pg.295]

Fig. 10.6. Sensitivity of Rcelp to chloromethyl ketones and peptidyl (acyloxy)methyl ketones. Reporters based orr Ras (A) arrd a-factor (B) arrd were used to measure the impact of TPCK, TLCK, Phe-Lys AOMK (FKBK), and Phe-Ala AOMK (FABK) on the activity of yeast Rcelp as measured through fluorescence output (A) or a biological readout assay (B) DMSO is the solvent control. A schematic for each assay is shown on the left of the panel, and a graphical representation of data collected with the assay is shown on the right. Numbers on top of each bar in the graph reflect the percent activity observed relative to the DMSO-treated control. ABZ is aminobenzoic acid DNP is dinitrophenol. Data is reproduced in part with permission from Ref. [74]. Fig. 10.6. Sensitivity of Rcelp to chloromethyl ketones and peptidyl (acyloxy)methyl ketones. Reporters based orr Ras (A) arrd a-factor (B) arrd were used to measure the impact of TPCK, TLCK, Phe-Lys AOMK (FKBK), and Phe-Ala AOMK (FABK) on the activity of yeast Rcelp as measured through fluorescence output (A) or a biological readout assay (B) DMSO is the solvent control. A schematic for each assay is shown on the left of the panel, and a graphical representation of data collected with the assay is shown on the right. Numbers on top of each bar in the graph reflect the percent activity observed relative to the DMSO-treated control. ABZ is aminobenzoic acid DNP is dinitrophenol. Data is reproduced in part with permission from Ref. [74].
Figure 1.16. (A) Sample architecture for the distance dependence of metal-enhanced Superoxide generation. (B) Real color photographs of dihydroethidium (DHE) and Acridine emission from glass and SiFs, before and after 2 mins light exposure (sensitization). (C) Graphical representation of the interpretation of metal-enhanced superoxide generation with an enhanced and distance dependent excitation rate. Light exposure source was a 100 W mercury lamp, ex = 473 nm. Figure 1.16. (A) Sample architecture for the distance dependence of metal-enhanced Superoxide generation. (B) Real color photographs of dihydroethidium (DHE) and Acridine emission from glass and SiFs, before and after 2 mins light exposure (sensitization). (C) Graphical representation of the interpretation of metal-enhanced superoxide generation with an enhanced and distance dependent excitation rate. Light exposure source was a 100 W mercury lamp, ex = 473 nm.
Te and Cu monolayers on gold, as well as Ag and Bi monolayers on platinum were obtained by cathodic underpotential deposition and investigated in situ by the potentiodynamic electrochemical impedance spectroseopy (PDEIS). PDEIS gives the graphical representation of the real and imaginary interfacial impedance dependencies on ac frequency and electrode potential in real-time in the potential scan. The built-in analyzer of the virtual spectrometer decomposes the total electrochemical response into the responses of the constituents of the equivalent electric circuits (EEC). Dependencies of EEC parameters on potential, especially the variation of capacitance and pseudocapacitance of the double layer, appeared to be very sensitive indicators of the interfacial dynamics. [Pg.373]

Figure 1. A simplified graphical representation of the behavioural response intensity of individual prey as a function of relative chemical alarm cue concentration. Bold line denotes overt antipredator response curve, dashed line denotes covert response curve. Shaded area between overt response threshold (BRTotot) and covert response threshold (BRTcowt) represents concentration range in which we would expect to see threat-sensitive behavioural responses. Figure 1. A simplified graphical representation of the behavioural response intensity of individual prey as a function of relative chemical alarm cue concentration. Bold line denotes overt antipredator response curve, dashed line denotes covert response curve. Shaded area between overt response threshold (BRTotot) and covert response threshold (BRTcowt) represents concentration range in which we would expect to see threat-sensitive behavioural responses.
Fig. 22 Graphical representation of the E-P-S relation (Eq. 8) between the heat of explosion and the impact sensitivity of highly thermally stable polynitro arenes [160]... Fig. 22 Graphical representation of the E-P-S relation (Eq. 8) between the heat of explosion and the impact sensitivity of highly thermally stable polynitro arenes [160]...
The polarization curves (i/E) correspond to the graphic representation of this expression (Sastri, 1998). Analysis of these curves provides basic information on corrosion phenomena, which are very useful for studying sensitivity to corrosion from pitting, by determining the breakdown potential, also known as pitting nucleationpotential p and... [Pg.1598]

Figure 4.3 gives a graphical representation of Equation 4.5 for the monomer pairs methyl methacrylate (MMA)-n-butyl acrylate (BA) and styrene (S)-methyl acrylate (MA). Plots as shown in Figure 4.3 allow estimations about the sensitivity of a copolymerisation recipe for composition drift. [Pg.82]

Previous solutions to this problem have produced two types of matchers. Syntactic matchers use only the graphical form of the representations, judging their similarity by the amount of common structures shared [2, 3] or the number of edit operations required to transform one graph into the other [4-7]. Approaches that focus on the amount of shared common structures do not handle mismatches. Approaches that use edit operations can handle mismatches but are sensitive to the cost assigned to them. In this approach, handling these parameters such as cost is problematic. [Pg.219]


See other pages where Sensitivity graphic representation is mentioned: [Pg.238]    [Pg.238]    [Pg.326]    [Pg.337]    [Pg.345]    [Pg.247]    [Pg.107]    [Pg.12]    [Pg.315]    [Pg.387]    [Pg.392]    [Pg.55]    [Pg.87]    [Pg.48]    [Pg.197]    [Pg.22]    [Pg.9234]    [Pg.84]    [Pg.2007]    [Pg.308]    [Pg.318]    [Pg.1457]    [Pg.239]   
See also in sourсe #XX -- [ Pg.7 ]




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