Investigators rely on particle characterization methods to gain a deeper understanding of key properties that influence both the manufacturing process and the quality of the final product. As ...

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

At one time a relatively infrequent occurrence, voltage drop is now a major impediment to reliability at advanced nodes. Decades ago, voltage drop was only an issue for very large and high-speed ...

Rubber-like materials have outstanding damping properties because they can concurrently display flow-like and spring-like characteristics. Recently, Japanese researchers have created a novel technique ...

This commentary argues that practitioners of cost-effectiveness analyses should incorporate dynamic drug pricing into formal cost-effectiveness analyses (CEAs). For reasons we discuss, doing so will ...

Association of C-MYC, MYC target gene, and unfolded protein response (UPR) expression with clinical benefit from the oral aurora kinase A (AURKA) inhibitor, alisertib (A), in combination with ...

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 ...

This webinar will highlight how combining particle size and shape analysis in a single workflow helps professionals ...

Objective To perform a large-scale pairwise and network meta-analysis on the effects of all relevant exercise training modes on resting blood pressure to establish optimal antihypertensive exercise ...