Sentence examples similar to quantifying by observation from inspiring English sources

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The damage sustained by the structure was then quantified by observation, through use of a method called axial-shear-flexure interaction (ASFI) (Kabeyasawa and Mostafaei 2007) in a numerical thermal analysis to find the temperature rise in and around both the cracked and the intact sections subjected to fire.

After waiting 5 min, the rats were placed in a hemispheric rotation bowl 40 cm wide and 20 cm deep and the number of complete turns to the right or the left quantified by observation.

Aggregates comprising more than 50 cells were counted as colonies and quantified by observation with an inverted microscope (Diaphot; Nikon, Tokyo, Japan).

The kinetics of development and subsequent growth of a C3H mouse mammary tumour after implantation of 10 6) cells was quantified by observation and statistical analysis of latent period and growth rate for different categories of tumour.

Groundwater modeling is applied in quantifying SGD by observation, measurements and mathematical methods (Cox et al. 1997).

Bacterial colonies were gram-stained and quantified by direct observation using the same methodology described by Chavez De Paz (Chavez de Paz et al. 2003).

Because DEB is rarely quantified by direct observation, this criterion is usually self-reported.

Although there has been a lot of research on the communication between the GP and patient during a consultation, there have only been a limited number of studies which have tried to quantify, by direct observation, the extent to which multiple problems are discussed in consultations.

The efficacy of siRNA was checked by western-blotting at day 4 after transfection, and the accumulation of corpses was quantified by counting under microscopic observation.

The extent of phagocytosis was quantified by contrast phase microscopic observation.

The similarity between the ith target observation and jth reference observation was quantified by means of the Euclidian distances calculated in the feature space as: d_{ij} = sqrt {(x_{i} - x_{j} )^ (x_{i} - x_{j} )} (5 where x i and x j are the feature vectors.

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