Sentence examples for transformation trend from inspiring English sources

The main conclusions are as follows: There is an obvious transformation trend from natural wetland landscape to artificial wetland landscape and other landscape, as well as from other landscape to artificial wetland landscape.

In addition, degrees of damage of specimens reduced gradually and the type of destruction showed a transformation trend from stretching failure towards shear failure when the slenderness ratio increased.

We could even combine the survey of the significantly increased Ki-67 and PCNA IHC expression level and the lower p27 level to predict the higher malignant transformation trend in patients with sinonasal IPs in our survey.

A large part of the debate on public space in the contemporary city revolves around the analysis of crisis factors of public space, or rather the transformation trends of the post-industrial societies that bring a radical change in the functions of urban places, their meanings and symbolism, the practices that are carried out in them.

Transformation and trend removal was performed when necessary.

And also if the data were asymmetrical (i.e., not normally distributed by default), the data need to apply the log transformation and trend removal analysis for each irrigation water quality variables for normal distribution.

Log transformations and trend removal were used for data normalization to make the water quality data normally distributed throughout the catchment.

We then used the methods of Sauerbrei and Royston [ 9] to identify the best second-degree fractional polynomial transformation for each trend indicator in the joint model and removed any trend indicators that were no longer significant at α = 0.05.

BATS, ETS and SES stand for Box-Cox transformation, ARMA errors, Trend and Seasonal components (De Livera et al. 2011); Error, Trend and Seasonality (or ExponenTial Smoothing); and Simple Exponential Smoothing respectively.

After averaging, the power was determined in two frequency bands, alpha (8 13 Hz) and beta (13 25 Hz) by a fast Fourier transformation using Frequency Trend (Yokogawa Electric Corporation) for each participant and the contrast images of (after the n-back test trials)/(before the n-back test trials) was constructed for each frequency band.

The dataset was preprocessed with slice timing correction, motion correction (realignment), removal of the linear trend, transformation to standard Talairach space (matrix = 61 × 73 × 61, resolution = 3 × 3 × 3 mm), and smoothing by a Gaussian filter with a FWHM of 6 mm.