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

Dynamic load modelling captures the time-dependent response of electrical loads to disturbances such as faults, voltage dips and frequency deviations. Unlike static load representations that assume a ...

Most cancer deaths are due to the metastatic spread and growth of tumor cells at distant sites. Identifying appropriate treatments for patients with metastatic disease is challenging because of ...

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 ...

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

The field of underwater optical communication is undergoing rapid transformation as researchers seek to address the physical limitations imposed by dynamic ...

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

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 ...

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 ...

Vapor compression cycles are predominantly used in air-conditioning, heat pump and refrigeration equipment. A good understanding of transient behaviors of vapor compression systems is critical to ...