A study conducted at Harvard University identified a group of metabolites that travel from the intestine to the liver and then to the heart, where they are pumped throughout the body. These metabolites play an important role in controlling metabolic pathways in the liver and insulin sensitivity. This discovery may contribute to future treatments for obesity and type 2 diabetes. The results were published in the journal Cell Metabolism.

“The hepatic portal vein drains much of the blood from the intestine to the liver...

Soft robots are prized for their agility and gentle touch, which makes them ideal for traversing delicate or enclosed spaces to perform various tasks, from cultivating baby corals in laboratories to inspecting industrial pipes in chemical plants. However, achieving embodied intelligence in such systems, where sensing, movement and power supply work together in an untethered configuration, remains a challenge.

Flexible materials can deform and adapt, but their power sources are unable to do so. Conventional batteries often stiffen the robot’s body, drain quickly, or degrade under strain, all of which leave soft robots tethered or with a short lifespan.

Assistant Professor Wu Changsheng and his team from the Department of Materials Science and Engineering and the Department of Ele...

Imagine biting into a crisp, garden-fresh salad and savoring juicy strawberries for dessert. But instead of your backyard, you’re gazing out at a stark lunar landscape, Earth hanging like a precious blue marble in the inky sky.

Sound like far-fetched sci-fi? Think again.

This cosmic cuisine scenario is fast becoming our reality, thanks to research led by University of Melbourne scientists belonging to the Australian Research Council Centre of Excellence in Plants for Space (P4S, 2024-2030), in partnership with NASA and other space scientists.

A global dream team of over 40 scientists in 11 countries and seven space agencies have united to produce a roadmap for plant science breakthroughs crucial for long-term human life on the moon and Mars.

And...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural network (QCNN)—could process information more efficiently by using quantum states instead of classical bits.

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible operations that neural networks need.

Adaptive state injection in photonic QCNNs
In a study published in Advanced Photonic...