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Quantum entanglement has long been understood as something that happens at the smallest possible scales, between individual atoms, photons and electrons carefully isolated from the messiness of the everyday world. The moment a system grows large enough to hold or see, the assumption has always been that quantum effects wash out, smeared beyond detection by the sheer noise of trillions of particles interacting at once.

For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, one peak of performance, and the best catalyst design is whichever one lands closest to it. This assumption, embedded in what is known as the Sabatier principle and visualised in the iconic single-peak volcano model of catalytic activity, has shaped the entire field of catalyst science for generations.

Climate conferences are usually remembered for negotiations between governments, emissions targets and lengthy policy discussions. During the 2021 United Nations climate summit in Glasgow, however, one of the most widely discussed speeches came from someone who was not a politician, scientist or business leader.

Just days after powerful earthquakes devastated parts of Venezuela, residents of Caracas looked up to witness another extraordinary sight: a sky glowing an intense crimson red as the Sun dipped below the horizon. Videos of the spectacle quickly spread across social media, prompting speculation that the phenomenon was connected to the recent seismic disaster.

Researchers at Mayo Clinic have developed an artificial intelligence (AI) system that could transform how pancreatic cancer is detected by identifying subtle signs of the disease years before it is usually diagnosed. The technology, known as the Radiomics-based Early Detection Model (REDMOD), analyses routine CT scans to detect microscopic changes in pancreatic tissue that are invisible to the human eye.

Access to clean drinking water is one of the most pressing challenges of our time, and scientists have now found an unusually wearable solution to it. Engineers at the University of Texas at Austin have developed a prototype jacket that harvests drinking water directly from the air around it, using a specially engineered textile that absorbs atmospheric moisture and converts it into clean, drinkable water through a simple heating process.