Architected materials, which are designed and engineered with specific microstructures, hold great promise for healthcare applications. In particular, tensile samples based on architected materials exhibit unique properties that can address key challenges in medical devices and implants. By precisely controlling the architecture at the micro- and nano-scale, these materials can be optimized for high strength-to-weight ratio, tunable stiffness, and enhanced biocompatibility.

<p>The <strong>Twitter2015-Urdu Dataset</strong> is a multimodal resource designed to advance Multimodal Named Entity Recognition (MNER) research in Urdu, a low-resource language. It adapts the widely used Twitter2015 English dataset with culturally grounded annotations tailored to Urdu's unique linguistic complexities.

Decision-makers must make decisions under uncertainty.  In the era of Data Analytics and ``data-driven" decision-making, decision-makers therefore need to understand the risk, variance and uncertainty in the data they are provided.  While there has been a sizable research effort to investigate how to communicate risk to lay people better, the field of uncertainty visualization is much less-developed, with many questions still remaining how to best visualize variance and uncertainty.

Raw output waveforms from AC characterization data of nanowire cryotrons. The tested nanowire cryotrons consisted of devices with a 300 nm wide channel, and a choke width varying from 15 nm to 40 nm. The choke offset from the center of the channel was also varied from 0 um to 3 um.