A recent study looked at how students in Turkey use tech in unhealthy relationships. Over 1, 700 college students took part in a survey that asked about their lifestyle, family background, and how they communicate with partners online. The goal was to find out who might be at risk of digital abuse—l
Scientists often rely on energy calculations to understand how molecules behave in living cells. These calculations help explain how drugs bind to proteins, which is key to designing better medicines. But there's a catch: accurate calculations for large molecules like proteins are tough to do with r
Health records often miss signs of self‑harm, especially among veterans. Because doctors only flag clear cases, the data lacks true “negative” examples. This gap makes it hard to estimate how many people are at risk. Researchers used a special method called Positive and Unlabeled learning.
For over ten years, doctors in Egypt have been tracking how patients respond to tuberculosis treatment. Tuberculosis, a lung infection spread through the air, has always been hard to treat. But a bigger problem is growing: some TB strains no longer respond to standard medicines. These drug-resistant
In the world of serious games, people are trying to figure out how teams work better. The focus has been on single pieces like who leads or how people talk, but the whole picture is missing. Researchers used machine‑learning tools to look at many different clues at once—like body language, words
Social media isn’t just for memes and arguments—it’s a goldmine of real-time opinions. Businesses, researchers, and even politicians often turn to Twitter to measure what people truly feel about products, policies, or brands. But raw tweets are messy. They’re short, full of slang, and packed with sa
Fertilizers give crops the nitrogen they need, but when too much leaches into rivers it harms fish and plants. Scientists need to know how much nitrogen leaves fields each year to plan better solutions. Because real‑world data are scarce, researchers built a computer model that learns from all
Getting wind energy right is tricky because wind doesn’t blow steadily. Power grids need to balance supply and demand, but wind farms can’t always match that. A new study shows how ocean patterns might help predict wind power better. Instead of just looking at current wind speed, researchers tested
A new study shows that a simple food‑based score, created with machine learning, can flag people at risk for a lung condition called PRISm before it worsens. PRISm is a subtle breathing problem that can grow into serious lung disease, heart trouble, or even lead to early death. Doctors often miss
In busy shipping ports, accidents still happen a lot. A new study looked at why this is so by asking dock workers about their jobs, schooling, age and how safe they feel on the job. The researchers also checked whether safety training made a difference. They collected answers from many port workers
