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Eq. 1 shows the relation used to calculate criteria quality index by geometric mean of indicators.
In the present analysis, I ignored the details of the relation used by Mäkelä and Valentine [7] and assumed a system that has a constant scaling exponent 0.75 and a biological phenomenon comparable with crown ratio affecting the scaling relation.
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We derive the relation using Eqs.
By contrast, the clicker feedback activity actively engaged the students in making the alignment by requiring them to predict the relation using the clicker response system.
We analyzed the relation using the Institute for Traffic Accident Research and Data Analysis (ITARDA) database for 2009 in Japan, considering different factors including a vehicle type and pedestrian age in actual traffic accidents.
For continuous variables, we checked for the shape of the relation using graphical smoothing techniques.
Instead, most have analyzed the relation using air pollution variables in the continuous form or comparing only two levels.
The parameter ζ can be estimated by randomly resampling the relation using the obtained weights and measuring the spread around the trend in the data in the direction (Fig. 2C illustrates this schematically).
Equations (100), (101) and Table 5 show the relations used in obtaining the required requisite parameters (Table 6).
The relations used for imputation rarely reproduce exactly the relations underlying the data.
All the relations used in our experiment are PART_OF, LOCATION_OF, and ISA.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com