Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

Repetitive transcranial magnetic stimulation (rTMS) and other targeted, noninvasive neuromodulation approaches offer promise for treating neuropsychiatric conditions. These techniques work by ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Researchers from Jordan’s Al al-Bayt University have created comprehensive theoretical dynamic modeling to analyze the performance of building integrated photovoltaic thermal (BIPV/T) systems. The ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...

A research team in Germany developed a dynamic model of spray cooling for floating PV systems that couples thermal behavior, ...