Mars: Simulations of Early Impacts produce a Mixed Mars Mantle

Early Mars after impact, showing projectile materials leaving the planet
Courtesy of Southwest Research Institute A Southwest Research Institute team performed high-resolution, smoothed-particle simulations of a large, differentiated projectile hitting early Mars after its core and mantle had formed. The projectile’s core and mantle particles are indicated by brown and green spheres respectively, showing local concentrations of the projectile materials assimilated into the Martian mantle.

The early solar system was a chaotic place, with evidence indicating that Mars was likely struck by planetesimals, small protoplanets up to 1,200 miles in diameter, early in its history...

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‘Smart’ Bandages Heal Chronic Wounds

Illustration of the
A UConn researcher has helped develop a new “smart bandage” that could improve clinical care. (courtesy of Dr. Ali Tamayol)

Chronic and non-healing wounds – one of the most devastating complications of diabetes and the leading cause of limb amputation – affects millions of Americans each year. Due to the complex nature of these wounds, proper clinical treatment has been limited.

For the first time, faculty in the biomedical engineering department – a shared department with the UConn School of Dental Medicine, School of Medicine, and School of Engineering – designed a wirelessly-controlled, or “smart,” bandage and corresponding smartphone-sized platform that can precisely deliver different medications to the wound with independent dosing.

This bandage, developed by Dr...

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‘Multitasking’ AI Tool to Extract Cancer Data in record time

The image visualizes how the team’s multitask convolutional neural network classifies primary cancer sites. Image credit: Hong-Jun Yoon/ORNL
The image visualizes how the team’s multitask convolutional neural network classifies primary cancer sites. Image credit: Hong-Jun Yoon/ORNL

To better leverage cancer data for research, scientists are developing an artificial intelligence (AI)-based natural language processing tool to improve information extraction from textual pathology reports. In a first for cancer pathology reports, the team developed a multitask convolutional neural network (CNN) – a deep learning model that learns to perform tasks, such as identifying key words in a body of text, by processing language as a two-dimensional numerical dataset.

As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime...

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New Horizons Team uncovers a Critical Piece of the Planetary Formation puzzle

The uniform color and composition of Arrokoth’s surface shows the Kuiper Belt object formed from a small, uniform, cloud of material in the solar nebula, rather than a mishmash of matter from more separated parts of the nebula. The former supports the idea that Arrokoth formed in a local collapse of a cloud in the solar nebula.
Credits: NASA/Johns Hopkins University Applied Physics Laboratory/Southwest Research Institute/Roman Tkachenko

Data from NASA’s New Horizons mission are providing new insights into how planets and planetesimals – the building blocks of the planets – were formed.

The New Horizons spacecraft flew past the ancient Kuiper Belt object Arrokoth (2014 MU69) on Jan...

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