Texas is gearing up for a significant population increase by 2030, according to a new study. The University of Virginia predicts the state will add over 3 million people, reaching a total of 32. 5 million. This puts Texas right behind Florida as the second most populous state in the U. S. Why does t
Did you know that your race, where you live, and how much money you make can actually play a big role in whether you might lose a limb? Let's talk about something called chronic limb-threatening ischemia, which is a fancy term for when blood circulation is really poor in your leg. Because of this, s
When the COVID-19 pandemic hit, telehealth suddenly became a big deal. But as it grew quicker than ever before, something strange happened. Not everyone was into it. Some people loved it, and others weren't fans. So, why is that? Let's break it down. When it comes to using telehealth, three things
Did you know that after giving birth, a woman's uterus needs to contract properly to prevent excessive bleeding? This is where electrohysterography comes in. This method uses electric signals to keep an eye on the uterus. A recent study looked into whether these signals can help spot uterine atony e
Breast cancer treatments have been advancing, which is great news for patients. However, these improvements come with a hefty price tag. One question that's been puzzling people is whether the benefits of screening mammography, specifically digital mammography, justify the expenses. This isn't just
Cancer treatment is getting smarter by using several methods at once. One exciting tool is graphene-based nanomaterials (GBNs). These tiny powerhouses can do three amazing things: deliver drugs, fix faulty genes, and cook cancer cells with heat. That's multitasking at its best! Graphene, graphene o
In the south of China, there's a special place called Hechi. It's not just any city; it's known as "the world's longevity city. " Why? Because it has the highest number of centenarians in Guangxi Province, and Guangxi has one of the highest centenarian ratios in all of China. You might be thinking,
Traffic forecasting on freeways has long relied on deep learning models, especially graph neural networks that blend graph theory with deep learning. These models are great at learning complex time and space patterns. However, traditional graph convolutional networks (GCNs) sometimes struggle with l
This year has been a banner year for high school photojournalism in Massachusetts. The Globe recently shared a collection of 30 stunning photos, capturing the action of 20 different sports teams. These images were taken by 15 talented students from across the state. This is just the latest in a seri
Have you ever thought about graphite like a secret agent? Seems strange, right? But this common material has secrets of its own, and scientists are learning to read them. The thing is, graphite isn't perfect. It has tiny flaws, or defects, that can mess up its performance. These aren't like your hom
