Dynamical systems modeling is one of the most successfully implemented methodologies throughout mathematical oncology (1). Applications of these model first approaches have led to important insights ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

Part 1 of this 3-part series described how a model-driven development process and virtual prototyping tools help address the challenges of implementing a DFSS methodology in a complex automotive ...

Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace ...