Oxidative stress is considered to contribute to the development of cancer. However, a recent study in Japan showed that oxidative stress may suppress rather than cause cancer development in individuals with variants of the BRCA2 gene.

Addressing the global plastic waste crisis, particularly hard-to-recycle blended PET fibers, demands environmentally friendlier recycling methods. Researchers engineered a novel PET hydrolase PET2-21M and established large-scale production in yeast. This enzyme dramatically boosted PET bottle-grade PET breakdown. In parallel, its direct precursor PET2-14M-6Hot successfully degraded challenging blended fibers (PET/cotton, PET/PU) at moderate temperatures. This breakthrough offers a promising, energy-efficient path for a circular plastics economy, accelerating industrial-scale recycling of diverse polymer wastes.

Researchers at The University of Osaka developed a deep learning model for rapid building damage assessment after floods using satellite imagery. This research establishes the first systematic benchmark for this task and introduces a novel semi-supervised learning method achieving 74% of fully supervised performance with just 10% of the labeled data. A new, lightweight deep learning model named Simple Prior Attention Disaster Assessment Net or SPADANet significantly reduces missed damaged buildings, improving recall by over 9% compared to existing models. This work provides crucial design principles for future AI disaster response, enabling faster and more efficient life-saving operations.

Researchers at Institute of Industrial Science, The University of Tokyo, have taken a great stride in supporting earthquake prevention research by developing a system for seafloor position measurements with centimeter-level precision. Combining the Global Navigation Satellite System–Acoustic and an unmanned aerial vehicle, the proposed system eliminates the need for manned surface vessels.

The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating mechanical properties of graphene nanosheets, report researchers from Institute of Science Tokyo. This hybrid approach allows direct evaluation of bending rigidities of graphene nanosheets, even with lattice defects, without requiring experimental tests, offering valuable insights for designing novel two-dimensional materials with tailored mechanical properties.

In a step toward smarter materials, researchers from Institute of Science Tokyo collaborated with researchers from Switzerland to develop a smart hinge-like molecule that can indicate mechanical stress in polymeric materials through fluorescence. Using a framework of [2.2]paracyclophane and two pyrene-based luminophores (light-emitting compounds), the developed molecule exhibits excellent stress-sensing with high durability—offering a powerful tool for real-time monitoring of mechanical damage.

A joint international research team has, for the first time, unveiled the crucial link between the structure of the solid electrolyte interphase (SEI) and the efficiency of lithium-mediated nitrogen reduction to ammonia, a promising eco-friendly approach to fertilizer production. Using in situ spectroscopy, the team directly observed the previously poorly understood SEI formation process, revealing that the ethanol-to-water ratio in the electrolyte significantly impacts ammonia conversion efficiency. This discovery opens a new avenue for sustainable fertilizer production by reducing reliance on fossil fuels and lowering greenhouse gas emissions.

Researchers at The University of Osaka have developed a new program, “postw90-spin,” that enables high-precision calculations of a novel performance indicator for the spin Hall effect, a phenomenon crucial for developing energy-efficient and high-speed next-generation magnetic memory devices.  This breakthrough addresses a long-standing challenge in spintronics research by providing a definitive measure of the spin Hall effect, overcoming ambiguities associated with traditional metrics.

OIST Professor Yoko Yazaki-Sugiyama has been awarded the 39th Nakaakira Tsukahara Memorial Award for the year 2024. This prestigious award honors young researchers who have conducted outstanding and original research in the life sciences. Prof. Yazaki-Sugiyama’s research theme, “Neural mechanisms of vocal learning during developmental critical periods,” was highly acclaimed. 

Researchers at RIKEN in Japan have used theoretical physics to discover how our biological clock maintains a consistent 24-hour cycle—even as temperatures change. They found that this stability is achieved through a subtle shift in the “shape” of gene activity rhythms at higher temperatures, a process known as waveform distortion.