Developing Predictive Models for Carrying Ability of Micro-Plastics towards Organic Pollutants

Ozone treatment of organic micro-pollutants in sewage sludge.

Organic micro-pollutants accumulate to a certain extent in sewage sludge and are therefore ecologically relevant if the sludge is to be reused in both agriculture and landscaping applications. This paper describes the degradation of endocrine-disrupting compounds and other micro-contaminants by means of ozone and ultrasonic treatment. One of the findings is that, as expected, aromatic compounds...

Predictive ability of C-reactive protein for stroke

Numerical Approaches for Developing Predictive Models

We present an approach to uncertainty propagation in dynamic systems, exploiting information provided by related experimental results along with their models. The approach relies on a solution mapping technique to approximate mathematical models by polynomial surrogate models. We use these surrogate models to formulate prediction bounds in terms of polynomial optimizations. Recent results on po...

Performance Evaluation of Dynamic Modulus Predictive Models for Asphalt Mixtures

Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...

A new measure of predictive ability for survival models

In clinical research, an understanding of prognostic factors is important in the design and analysis of clinical trials and retrospective reviews of clinical experience. The results of prognostic factor studies are usually summarized in the form of statistics resulting from statistical significance testing, i.e. estimated parameters, confidence intervals, and p-values. These statistics do not i...