For his Engineering Doctorate (EngD) program, ITC researcher Rodrigoandrés Morales developed a so-called digital twin: a digital model that analyzes and predicts the groundwater level in Enschede. With these predictions, the system can respond in time to imminent flooding or desiccation. Morales is the first person within the Faculty of ITC to complete an EngD at the University of Twente.
Imagine you're all alone, driving along in a rocky, unforgiving desert with no roads, no map, no GPS, and no more than one phone call a day for someone to inform you exactly where you are. That's what NASA's Perseverance rover has been experiencing since landing on Mars five years ago. Though it carries time-tested tools for determining its general location, the rover has needed operators on Earth to tell it precisely where it is—until now.
When scientists want to study aging and how to slow it down, they often turn to microscopic worms or lab mice among other models. The former are too different from humans, while the latter are expensive and take too long to study. But there's a new model in town that can potentially help us wind the clock back, and that is the silkworm (Bombyx mori).
After weeks of relentless rain and flooding, and even more forecast, 2025's droughts and hosepipe bans feel like ancient history. But they shouldn't.
A new study from Bar-Ilan University is shedding light on a long-overlooked social group in archaeology: the elderly. While research on women and children has flourished in recent decades, older adults have remained largely invisible, their lives reconstructed primarily through skeletal remains. Now, Bar-Ilan archaeologists present a new and innovative study, identifying the elderly through household artifacts, offering a fresh window into their daily lives and social roles.
For anyone who relies on coffee to start their day, coffee wilt disease may be the most important disease you've never heard of. This fungal disease has repeatedly reshaped the global coffee supply over the past century, with consequences that reach from African farms to cafe counters worldwide.
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly and precisely than traditional methods, helping physicists better understand LHC data. The paper has been submitted to the European Physical Journal C and is currently available on the arXiv preprint server.
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Faculty of Arts and Sciences have devised a new way to make some of the smallest, smoothest mirrors ever created for controlling single particles of light, known as photons. These mirrors could play key roles in future quantum computers, quantum networks, integrated lasers, environmental sensing equipment, and more.
River deltas are among the most complex and productive environments on Earth. Yet, they face serious threats from upstream industrialization and climate change, which alter supplies of water, sediment and contaminants. Even deltas distant from densely populated and industrialized areas are not immune to these stressors.
Every year, millions of workers are injured or die on the job, imposing enormous human and economic costs. The socio-economic impact of workplace safety is hard to avoid and presents governments and organizations with a major challenge.
