The uniqueness of the model is that it incorporates many physical characteristics of the slabs and their failure behavior, and this is reflected by its ability to predict extremely well the results of tests conducted by researchers other than the authors.
Quantitative calibration models using partial least squares (PLS) regression were developed with the ability to predict DE as well as the specific enzyme treatment, expressed as amount of ester groups removed with random and block enzyme, respectively.
Blending of powders and granular materials is a critical unit operation in many industries, yet the ability to predict blending effectiveness lags well behind our ability to create new and novel blenders.
The goal is an understanding that includes both the principles of science (the ability to predict specific effects of well-controlled interventions) and engineering (the ability to build a model whose behavior emulates human rehabilitation and whose structure reflects the known neuroanatomy and neurophysiology).
Such models could have an ability to predict the formulation properties as well as composition for desired characteristics with saving of time, material and cost.
Thus, CNS-resident microglia and infiltrating monocytes and macrophages are emerging as promising sensitive indicators of neuronal decline; however, their ability to predict later disease is not well defined, particularly at early stages of disease.
The performance of 18 analytical models was investigated based on statistical analysis of R2, limiting deviation error, as well as their ability to predict long term rutting of AC-13 and AC-20 asphalt mixtures.
Additionally, by mixing in other data sources, the system can also provide a deeper understanding of plant diseases, climate, and geographic factors that are in place at the time, as well as the ability to predict where disease might spread at a hyper-local level.
The paper highlights a sensitivity analysis on the use of LBM for predicting, in conjunction with XMT, the permeability of packed beds, as well as its ability to predict permeability and filtration performance with validation against data gathered on the flow through beds of spherical particles.
