Can metal-based nanoparticles generated by lasers help build smarter, more immersive electronics? In the latest issue of International Journal of Extreme Manufacturing, Jun-Gyu Choi and collaborators from Ajou University and Samsung Electronics present how laser ablation in liquids enables scalable, surfactant-free nanoparticle synthesis tailored for artificial sensory and neuromorphic devices. Their work marks a breakthrough in bridging material science and intelligent electronics, paving the way for high-performance, flexible, and human-like interfaces in the next wave of extended reality technologies.

Gaining insights into the complex pathways and key cell populations involved in immune dysregulation can aid the development of therapeutic approaches to treat polytrauma, which is associated with poor patient outcomes. In a new study, researchers from the USA have utilized advanced genetic analysis tools and techniques to reveal the cellular and molecular processes involved in polytrauma-induced immune dysregulation. Their findings advance our current knowledge on polytrauma and indicate actionable targets to treat immune dysregulation.

Increasing numerical studies showed that the simplest Hubbard model on the square lattice with strong repulsion may not exhibit high-temperature superconductivity (SC). It is desired to look for other possible microscopic mechanism beyond the simplest Hubbard model to realize d-wave high-temperature SC. This study proposed that the interplay between the Su-Schrieffer-Heeger electron–phonon coupling (EPC) and the Hubbard repulsion can induce robust d-wave high-temperature SC. Using state-of-the-art density-matrix renormalization group simulations, the researchers shows that d-wave SC emerges in the Su-Schrieffer-Heeger-Hubbard model with strong Hubbard interaction and moderate EPC, paving a possible new route in understanding and looking for high-temperature SC in quantum materials.

In the paper published on Science of Traditional Chinese Medicine, the authors outline the bacteriostatic activity and mechanism of minerals containing rubidium (MCR). According to the findings, MCR inhibited Staphylococcus aureus, Listeria monocytogenes, and Escherichia coli with minimum inhibitory concentrations (MICs) of 11.95, 2.60, and 2.60 mg/mL, respectively. The inhibitory activity of MCR was insignificant against Bacillus subtilis, Salmonella typhimurium, and Helicobacter pylori at 3.25 mg/mL. Mechanistic assessments showed that MCR affected bacterial conductivity, protein and nucleic acid levels, reducing sugar content, respiratory chain dehydrogenase activity, bacterial lipid peroxidation, intracellular adenosine triphosphate, and extracellular alkaline phosphatase.

Attention detection using electroencephalogram (EEG) signals has become a popular topic. However, there seems to be a notable gap in the literature regarding comprehensive and systematic reviews of machine learning methods for attention detection using EEG signals. Therefore, this survey outlines recent advances in EEG-based attention detection within the past five years, with a primary focus on auditory attention detection (AAD) and attention level classification. First, researchers provide a brief overview of commonly used paradigms, preprocessing techniques, and artifact-handling methods, as well as listing accessible datasets used in these studies. Next, researchers summarize the machine learning methods for classification in this field and divide them into two categories: traditional machine learning methods and deep learning methods. Researchers also analyze the most frequently used methods and discuss the factors influencing each technique’s performance and applicability. Finally, researchers discuss the existing challenges and future trends in this field.

A recent review in journal Earth and Planetary Physics highlights that China's Tianwen-2 mission, launched on May 29, 2025, will carry a penetrating radar to directly probe the internal structures of the near-Earth asteroid 2016 HO₃ (Kamo'oalewa) and the active asteroid 311P/PANSTARRS. This investigation is expected to provide crucial data for unveiling the internal characteristics of asteroids and comets, thereby offering new insights into the early evolution of the solar system.

In a paper published in Earth and Planetary Physics, researchers propose a semi-empirical model combining Burton's empirical Dst formula with global magnetohydrodynamic (MHD) simulations to predict geomagnetic storm intensity. The hybrid approach demonstrates higher accuracy than pure empirical models when tested against moderate-to-intense storm events, while maintaining computational efficiency for operational space weather forecasting. This advancement enables more reliable Dst index estimation within global magnetosphere simulations.

Chloride toxicity is a growing threat to salt-sensitive crops, causing oxidative stress, membrane damage, and cell death.