Sentence examples for processes existing in the from inspiring English sources
These processes are defined according to the industrial standard processes existing in the literature.
The data was analysed using an inductive approach [ 26, 27] which allows researchers to develop a framework of the underlying processes existing in the data [ 27].
Schools must be prepared for the fact that one outcome of effective parental involvement programs will be the desire of parents to become partners in the decision-making process existing in schools.
However, even in heterogeneous transesterification processes, impurities existing in the natural raw feedstocks tend to accumulate in the glycerol phase.
During the process, the ZnO nanocrystals existing in the seed layer serve as the nucleation centers where the growth of ZnO NWs takes place.
During the avascular phase, the tumor obtains nutrients and "feeds" itself via diffusion processes alone, with nutrients already existing in the environment.
The factors under investigation were selected based on previous experiences and also the restrictions existing in the process.
The main purpose of this article is to define engineering risk existing in the process of the development of Energy Performance Contracting EPCC) and to provide a system and quantitative evaluation method to reduce engineering risk of EPC.
The sense of agency and sense of ownership as two major components of minimal self existing in the process of self-other recognition affect the higher level emotional experience via bodily self-perception (Zhang & Li, 2016).
Although LBP-based descriptors showed promising performances compared to other feature representations, it is obvious that LBP only thresholds the differential values between neighborhood pixels and the focused one to 0 or 1, which is very sensitive to noise existing in the processed image.
This article deals with the modeling of the heterogeneity existing in the lifetime processes using the mixture of the inverse Rayleigh distribution, and the spotlight is the Bayesian inference of the mixture model using non-informative (the Jeffreys and the uniform) and informative (gamma) priors.
