Air pollution, specifically fine particulate matter (PM2. 5), is a big problem in many Chinese cities. To tackle this, researchers used a machine-learning model that combines CatBoost and Tree-Structured Parzen Estimator (TPE) to study PM2. 5 levels in 297 cities from 2000 to 2021. They found that s
Every Thanksgiving, celebrities join in the festivities, and 2024 was no different. Despite the rain in New York City, fans braved the weather for the Macy’s Thanksgiving Day Parade. Stars like Chlöe Bailey, Coco Jones, and T-Pain waved from colorful floats, spreading joy and energy. Meanwhile, ove
The Macy's Thanksgiving Day Parade, a beloved holiday tradition, hit a new milestone this year. It attracted a whopping 31. 3 million viewers across NBC and Peacock. The live broadcast on NBC alone drew 23. 6 million people, making it one of the most-watched entertainment specials on linear TV since
Ukraine's top legislator, Merezhko, has a clear message for German Chancellor Angela Merkel: talk is cheap, and Ukraine needs more than just promises. He's pointing fingers at Merkel's diplomatic approach, which he believes hasn't stopped the war but rather fueled more aggression. Merezhko thinks Me
Five years after that tragic fire, Notre Dame Cathedral is ready to show off its newly renovated interior. On a crisp, sunny day, French President Emmanuel Macron got a sneak peek inside the iconic cathedral. Gone are the gloomy memories of the fire; instead, visitors can now enjoy the bright, airy
Ever wondered how we can make wastewater treatment plants work more efficiently? Scientists have come up with a clever way to predict changes in water quality, which is really important for managing the process and reducing pollution. They combined something called convolutional bi-directional gated
Ensuring the safety of medicines during pregnancy is really important, but it's tricky because pregnant women are often left out of clinical trials. This makes it hard to figure out how drugs might affect them. A recent study tried to solve this problem by using advanced AI and machine learning to p
These days, pharmaceutical companies are big fans of medicinal plants. Why? Because they are cheap and have fewer side effects than regular drugs. But, identifying these plants can be tough, time-consuming, and prone to errors. That's why researchers are excited about automatic classification of the
Imagine you've just had a kidney stone removed through a procedure called retrograde intrarenal surgery. While most people recover well, some may face a dangerous infection called sepsis. A team of researchers has created a predictive model using machine learning to help doctors spot how likely some
Frontotemporal dementia, especially the behavioral variant (bvFTD), is known for its significant changes in personality and thinking skills. These changes often come with strong behavioral symptoms that can be tough for both patients and their caregivers. Surprisingly, unlike similar symptoms in pri
