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The main aim of this study is to investigate how resilience indicators with different stages of operationalization can be developed at the local level.
In this second approach, Cronbach's alpha in SPSS CATPCA is selected because it allows for the use of indicators with different scale levels (refer to Table 1 for a list of indicators of the four constructs in this study).
Therefore, the concept is likely to be transferable to other perylene-based indicators with different spectral properties.
Derived from the knowledge of previously reported cpFP-based sensors, we generated a set of cpFP-based indicators with different spectral properties and fluorescent responses to changes in Ca2+ concentration.
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The ESDA results are shown in Figure 2. Figure 2 Moran's I indicator for the HNV farmland indicator with different spatial weight matrices.
However, this relationship has not yet been clearly established in Spain, partly because of the difficulties involved in associating this type of indicator with different sources of information, and partly because SRH has only been studied in elderly populations [ 15– 17].
In the lab duties, static spontaneous imbibition experiments (Høgnesen et al. 2006; Karimaie et al. 2006; Schembre et al. 2006) and qualitative indicators combining with different core flooding tests which render quantitative indexes for wettability.
For examples testing dummy-variable party indicators with 12 different dependent variables, see Figure 3 and Table 2 in Hamilton and Saito (2015).
Table 3 compares univariate ORs of the six process indicators with two different logistic regression models adjusting for potential confounders.
An uncertainty analysis is performed through the contamination of the damage indicator features with different noise levels.
Hemolysis rate was determined as below: {text{Hemolysis}},{text{rate}}} = ({text{A}} - {text{A}}2)/({text {A}}1 - {text{A}}2) times 100%where A is the absorbance of indicator mixtures with different factors, A1 and A2 are the positive control, and the negative control, respectively (Kim et al. 2011).
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