Operator compression with deep neural networks.

This paper studies the compression of partial differential operators using neural networks. We consider a family of operators, parameterized by a potentially high-dimensional space of coefficients that may vary on a large range of scales. Based on the existing methods that compress such a multiscale operator to a finite-dimensional sparse surrogate model on a given target scale, we propose to directly approximate the coefficient-to-surrogate map with a neural network.

The Medical Devices Special Access Program in Canada: A Scoping Study.

New health technologies enter Canadian healthcare organizations in various ways, and understanding them is essential to the development of a pan-Canadian Health Technology Management (HTM) Strategy, now a priority of governments across Canada. One way is through Health Canada's Medical Devices Special Access Program (MDSAP), which permits unlicensed devices to be obtained by healthcare professionals. However, the circumstances around and implications of the current use of this program are not clear.

An empirical study of early childhood support through partnership building.

The first five years were recognized as a critical period of child growth. Accordingly, California voters approved tobacco tax through Proposition 10 to fund early childhood services since 1998. Due to the state revenue decline, Service Integration has been advocated to enhance program supports in Child Health, Family Functioning, and Child Development.