Talk title TBC Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar links, please contact manu@seas.upenn.edu
The ability to transform medical polymers, commonly used for resorbable surgical sutures, into desired 3D forms/shapes/structures at nano and micro scales with “smart” functions, while sustaining the materials’ excellent biocompatibility and biodegradability, provides significant applications in different biomedical fields, ranging from tissue engineering and controlled drug/vaccine delivery to medical devices. Here, I will present our […]
“Interplay of receptor tyrosine kinase activation at the cell surface and environmental mechanics” Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar links, please contact manu@seas.upenn.edu
Physical models of many natural and engineered systems are, at best, only partially known; a common setting under which classical analytical or computational tools inevitably face challenges and introduce many sources of uncertainty. Therefore, observational data plays a crucial role, yet our ability to collect them far outpaces our ability to sensibly assimilate it, let […]
Abstract Fiber constructs are prevalent in natural systems, from collagen fiber networks in tendon to tough, spider silk fibers. Recent innovations in multilayer co-extrusion technology have translated to the fabrication of melt-extruded fiber-reinforced composites, reminiscent of the nanoscale features of the Brown Recluse Spider. Distinct advantages of this modular approach over other traditional techniques include […]
Overparameterized neural networks have proved to be remarkably successful in many complex tasks such as image classification and deep reinforcement learning. In this talk, we will consider the role of explicit regularization in training overparameterized neural networks. Specifically, we consider ReLU networks and show that the landscape of commonly used regularized loss functions have the […]
The strong lottery ticket hypothesis (LTH) postulates that any neural network can be approximated by simply pruning a sufficiently larger network of random weights. Recent work establishes that the strong LTH is true if the random network to be pruned is a large poly-factor wider than the target one. This polynomial over-parameterization is at odds with […]
Bone mineral density rapidly decreases upon withdrawal from intermittent parathyroid hormone (PTH) treatment despite its potent effect of promoting bone formation. To better understand this adverse phenomenon, this study first aimed to investigate the phenotype of PTH withdrawal in both intact and estrogen-deficient rat model by using a well-designed experiment combined with innovative longitudinal imaging […]