Forecasting carbon prices is vital for smart government decisions and stable carbon markets. But with so many factors at play, from economics to politics, predictions often go awry. This is where a new model comes in, blending dual decomposition and error correction. First, the model breaks down car
Breast cancer grades, which are determined by cell structure, are crucial for planning treatment. Many researchers rely on deep learning (DL) models for this task. However, DL models can be a bit of a mystery. It's unclear which features they use to make accurate predictions. A recent study introduc
Figuring out if texts are positive or negative, called sentiment analysis, is super useful in lots of fields. While machines can now do this super fast and accurately, lexicon-based methods have their own perks. They might not be as perfect as machine learning or big language models, but they can wo
Imagine you're preparing for an Oracle SQL certification exam. The questions you face might contain code snippets, making them tricky to classify. This study takes a closer look at designing automatic classifiers for such questions. Why is this important? Classifying questions helps in creating a r
Let's talk about postnatal care for a moment. This is the crucial support mothers and their newborns need right after birth and for the next six weeks. It's a critical time when many deaths happen. In some countries, about 40% of women missed out on important postpartum check-ups. So, how can we use
Imagine you're a doctor. You need to know if a patient's cough or sneeze is just a passing thing or a sign of something bigger. That's where machine learning comes in. Researchers created an automatic system to spot sneezes and coughs, sounds that can hint at respiratory problems. The goal? Early di
Scientists often use stem cells to make artificial bones, but making sure these cells develop properly can be tricky. They've tried using omics technologies, like metabolomics, to check their quality. In a recent study, researchers combined metabolomics with machine learning to see if it could tell
Researchers have come up with a smart new way to figure out how much coastal cliffs are eroding. They combined data from drones, satellites, and laser measurements to see how bad the erosion is. This method helps us understand both natural wear and tear on cliffs and damage to protective structures
Follicular lymphoma (FL) can be a tricky disease. Sometimes, it worsens quickly, within just two years. This is called progression of disease within 24 months (POD24), and it can really affect how long patients live. A group of researchers from China decided to tackle this problem. They wanted to fi
Immuno-oncology drugs, like immune checkpoint inhibitors (ICIs), have shown potential in treating various cancers. For advanced non-small cell lung cancer (NSCLC) patients with PD-L1 expression of 50% or higher, single-drug ICI therapy that targets PD-L1 is the standard treatment. But can machine le
