Study shows how retinal cells know when to keep their distance
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Sep-2025 13:11 ET (2-Sep-2025 17:11 GMT/UTC)
In vertebrate retinas, specialized photoreceptors responsible for color vision (cone cells) arrange themselves in patterns known as the “cone mosaic”. Researchers at the Okinawa Institute of Science and Technology (OIST) have discovered that a protein called Dscamb acts as a "self-avoidance enforcer" for color-detecting cells in the retinas of zebrafish, ensuring they maintain perfect spacing for optimal vision. Their findings have been published in Nature Communications.
The South Atlantic Anomaly represents a region within near-Earth space characterized by a significantly weaker geomagnetic field and a higher flux of energetic particles compared to other areas. It is a space weather hazards to Low-Earth-Orbit satellites. There has been evidence that the Very Low Frequency (VLF) waves from the powerful ground VLF radio transmitter in Australia, known as NWC, have the capacity to scatter energetic electrons’ pitch angle in the inner radiation belt. In a paper published in Science China: Earth Sciences, scientists report the initial observation of a 'wisp' precipitation resulted from NWC, an unusual occurrence with peak intensity detected inside the SAA. With the full pitch angle distribution observed via the Macao Science Satellite – 1 at Low-Earth-Orbit, scientists attribute the 'wisp' within the anomaly to a specific pitch angle range just outside the drift loss cone.
Keywords: Artificial intelligence (AI); DeepSeek; catfish effect; open source; medical applications During the 2025 Chinese Spring Festival, a topic that garnered widespread attention was DeepSeek. On January 20, the Hangzhou-based DeepSeek company released its latest large language model, DeepSeek-R1. This release sent shockwaves through the technology sector and attracted attention from top scientific journals such as Nature and Science (1,2). With its powerful performance and open-source characteristics, DeepSeek-R1 has created substantial pressure on existing artificial intelligence (AI) competitors, exemplifying the “catfish effect” in the AI domain. This concept originates from a classical management theory: Norwegian fishermen placed catfish, a natural predator, in sardine transport tanks, significantly reducing mortality rates by triggering the sardines’ survival instincts. By analogy, in other fields, the introduction of strong competitors often activates industry innovation dynamics. DeepSeek’s emergence has injected new momentum into the AI field, driving rapid technological iteration and innovation.
DeepSeek is an AI platform based on deep learning and natural language processing, featuring core products DeepSeek-R1 and DeepSeek-V3 models. Using efficient Mixture of Experts (MoE) architecture and multimodal data fusion capabilities, it achieves performance comparable to OpenAI's GPT-4o-mini while significantly reducing training costs .
In healthcare applications, DeepSeek rapidly extracts valuable information from massive datasets, providing intelligent information retrieval and analysis solutions that:
- Assist physicians with diagnosis and treatment - Optimize doctor-patient communication - Improve medical efficiency - Supplement professional knowledge - Provide humanized medical interactions - Identify potential blind spots
DeepSeek enhances clinical decision-making efficiency, supports scientific research, optimizes patient management and assists patients with medical decision-making .
However, the platform faces challenges including data quality issues, algorithm stability and accuracy concerns, multimodal data fusion problems, lack of automated information collection, and dynamic update delays .
Future developments may bring breakthroughs in personalized medicine, telemedicine, and public health management .