Attention disorders are characterized by poor ability to filter out distractions in a busy world. Current treatments for ADHD work by stimulating brain activity. In mice, low levels of the protein Homer1 led to faster and more precise responses to cues, an indication of sharper focus. This effect was created through increased inhibition of brain activity, rather than stimulation. Thus, how quiet the brain is at rest is an important source of variation that predicts attentional performance. The findings may lead to alternate therapies that calm the mind to improve attention.   

A multinational scientific team led by UiT has uncovered the deepest known gas hydrate cold seep on the planet.  The discovery was made during the Ocean Census Arctic Deep – EXTREME24 expedition and reveals a previously unknown ecosystem thriving at 3,640 metres on the Molloy Ridge in the Greenland Sea. The groundbreaking findings regarding the Freya Hydrate Mounds, which hold scientific significance and implications for Arctic governance and sustainable development, have recently been published in Nature Communications.  

The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), has launched the world's first Deep Ocean Omics (DOO) database (https://DeepOceanOmics.org/). As the largest platform of its kind, DOO integrates and analyzes multi-omics data from organisms thriving in the ocean's most extreme environments, alongside customized analytical tools to support cross-species comparative and evolutionary studies. By facilitating the utilization of deep-sea biological resources, the platform aims to advance scientific understanding of deep-sea biodiversity and ecosystems, and to foster global research and applications related to biological adaptation in extreme environments.

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so every line lands perfectly on atom-thin material. No extra hardware, just smarter pictures.

A team led by Prof. Fei Ling from South China University of Technology developed PRTS (Pathology-driven Reconstruction of Transcriptomic States), a deep learning framework that predicts single-cell-resolution spatial transcriptomics directly from H&E-stained histology images.