As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools’ gains in accuracy and efficiency. Far less visible, however, is another critical dimension: the additional work students must do to produce, organize, and interpret their own data within these systems.

Despite their widespread use in various applications, synthetic polymers such as polyethylene (PE) remain susceptible to structural deformation when exposed to stress. In a new study, scientists from Japan have utilized focused electron beam (FEB) irradiation to precisely induce micro-voids and nano-scale fibrils to improve the mechanical strength of PE. Following irradiation with FEB, PE demonstrated minimal crack opening and prevented further crack propagation. This study can fuel the development of superior polymer-based materials.

Kyoto, Japan -- Whether you practice ballet or prefer the tango, the benefits of dancing are self-evident. It's good exercise both physically and mentally due to the complexity of the movements, and it's also a fun social activity. But the benefits of dancing may extend beyond this: the mental activity and social interaction involved in dancing may also help prevent cognitive decline.

Previous research indicates that dance practice can improve the cognitive test scores of older adults with mild cognitive impairment, or MCI, an intermediate state of cognitive decline between normal aging and dementia. This inspired a team of researchers from Kyoto University to extend this research to older adults in an earlier stage of cognitive decline called subjective cognitive decline, or SCD. This refers to an individual's self-reported worsening memory or increased confusion that cannot yet be verified by tests.

"We focused on SCD because earlier intervention is more important from the viewpoint of dementia prevention," says first author Masatoshi Yamashita.

Artificial intelligence becomes a predictive tool that can provide assistance in defining a nutritional plan for preterm infants. This is the concept of an innovative study recently published in the Journal of Perinatology, part of the Nature portfolio. It is the joint work of researchers from the IRCCS San Gerardo dei Tintori Foundation (FSGT) and the Department of Electronics, Information and Bioengineering (DEIB) of the Politecnico di Milano.

Efficient generation and reliable distribution of quantum entangled states is crucial for emerging quantum applications, including quantum key distribution (QKDs). However, conventional polarization-based entanglement states are not stable over long fiber networks. While time-bin entanglement offers a promising alternative, it requires complex infrastructure. In this study, researchers explore how stable time-bin entangled states can be generated and distributed using commercially available components, paving the way for practical quantum communication networks.

Ammonia gas, a popular industrial chemical, is dangerous to human health. A new study by Hanbat National University researchers presents a wearable ammonia gas sensor that detects harmful ammonia levels visually and electronically. The sensor is flexible, stretchable, and works reliably when attached to human skin and exposed to high humidity. By combining two sensing methods in one device, the platform remains accurate even if one sensing mode fails, making it suitable for real-world use.

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM_2.5) poses a significant health- and climate-risk, yet tracking its chemical composition remains a challenge. Now, researchers have developed a deep-learning model that accurately estimates hourly concentrations of five key PM_2.5 chemical components, without chemical analysis. Using air-quality and meteorological data, the model achieved high accuracy outperforming existing methods, and may strengthen air-pollution monitoring, fill data gaps, and support targeted emission control strategies worldwide.

A joint research team led by Professors Donghee Son and Jin-Hong Park at SKKU has developed a stretchable, self-healing, and reconfigurable electronic circuit platform that can autonomously recover from damage and be disassembled and reassembled on demand. This work introduces a new paradigm for electronic devices that simultaneously addresses long-term stability and personalized reconfigurability, which are critical for electronic skin (e-skin) and next-generation wearable and implantable electronics. The work was published in Nature Electronics and supported by the Ministry of Science and ICT and the National Research Foundation of Korea.

POSTECH researchers demonstrate a foundation model for automating analog circuit layout design.