Giant-nucleus cells are key markers for early-stage cancer, study shows
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Updates every hour. Last Updated: 20-Oct-2026 23:16 ET (21-Oct-2026 03:16 GMT/UTC)
An international team of researchers has developed a protein language model that unites information from protein sequences and structures within a single representation. The new model, CLSS, produces detailed maps of relationships across the protein universe and can accurately represent both full-length protein domains and their pieces. The approach could help researchers uncover distant evolutionary relationships between proteins and better understand how today's enormous diversity of proteins emerged.
Study finds that children aged 8-12 diagnosed with attention deficit hyperactivity disorder (ADHD) retell stories less completely and coherently than their neurotypical counterparts, potentially putting them at a disadvantage in social and educational settings. Visual aids help narrow the gap, but more attention should be given to children’s narrative ability to create more supportive education and social environments for children with ADHD-associated difficulties.
It was not fully understood how deep-sea microorganisms maintain their structure and function under high-pressure conditions. A research team from Kyushu University, conducted an experimental study focusing on PoXeR, a protein from a deep-sea bacterium. As increasing pressure was applied to the protein, the researchers found that it assembled itself into groups of three, called a trimeric structure to stabilize itself. This adaptive strategy revealed how deep-sea proteins remain stable under extreme pressure.
Electric fields can reliably reverse magnetization in nanoscale structures of the multiferroic material BiFe0.9Co0.1O3 (BFCO), as reported by researchers from Science Tokyo. Multiferroic materials display coupled electric and magnetic order, making them attractive for low-power memory devices. The team fabricated 190 nm BFCO nanodots and used advanced imaging techniques to directly observe the restructured electric polarization arrangement upon applying an electric field, driving a persistent reversal of magnetization.
Researchers have developed an AI-based system that automatically and objectively detects the moment when fish experience loss of equilibrium (LOE) due to temperature stress. The system combines DeepLabCut, a deep-learning AI that captures animal posture from video, with ResNet34, a deep-learning AI-based image-classification technology. Their system is expected to help predict the effects of climate change on fish. The research team was led by Specially Appointed Lecturer Tomoya Nakayama and Yoshiya Matsuo (a master’s student at the time) of the Institute of Transformative Bio-Molecules (WPI-ITbM) at Nagoya University, in collaboration with Associate Professor Tatsuto Hasegawa and Takuya Kato (a master’s student at the time) of the University of Fukui. Their research was published in the journal Scientific Reports on September 10, 2026.
Kyoto, Japan -- Amphibian larvae -- often known as tadpoles -- exhibit a behavior known as social aggregation, where they gather together as a way to avoid predators. These interactions are evidence of their association preferences, or their tendency to recognize members of their own species. Some varieties of tadpoles have even shown a preference for their siblings.
These association preferences and kin recognition in tadpoles have become a key topic in understanding the evolution of social behavior. Recent studies have suggested that microorganisms may be influencing communication through animal body odors, indicating the possibility that pond water rich in microbes may also affect social behavior. Yet whether this sociality is innate, shaped by early life experiences, or the aquatic environment, has remained unclear.
This uncertainty motivated Kazuko Hase at Kyoto University to investigate how early-life social experiences and the aquatic environment influence the development of sociality.