Major differences in the Raman peaks are seen at 867, 942, 977, 1062, 1082, 1122, 1237, 1342, 1412, 1657 cmost moft of which were identified in the difference spectra and attributed in Table 2.
For each performance attribute in Table 1, one or more performance MOEs can be selected to represent the extent to which the project objectives are achieved with the implementation of a project alternative.
When you create a table after selecting this option it will look exactly like the previous table unless you manually change the table attributes in the Insert Table window.
Since two interacting proteins should be present in a similar amount, the absolute expression levels of two proteins (attribute 2 in Table 1) and the absolute amount of two proteins (attribute 3 in Table 1) were used [42].
The attributes' values in Table 3 are measured in two different forms: quantitative and linguistic, which need to be uniform.
For example, the weight assigned to the cost attribute shown in Table 4 could be changed from the initially assigned value of 0.40.
The attributes, given in Table 1, can be broadly categorized into the following groups: (1) patient demographics, (2) medical conditions, (3) medications usage, (4) laboratory parameters.
See e.g. the name attribute in Table 1.
Each location in (mathbf{L}) captures the attributes in Table 1 at every stage of the game.
The range of levels of each attribute in Table 2 provided us with a mechanism for establishing the weights that signal the contribution of each attribute to the overall SQI.
The linguistic ratings of different route attributes in Table 4 can be defined as: NA = Not at All, VL = Very Low, B.VL&L = Between Very Low and Low, L = Low, B.L&M = Between Low and Medium, M = Medium, B.M&H = Between Medium and High, H = High, B.H&VH = Between High and Very High, and VH = Very High.
