Researchers developed a continuous-flow synthesis method to precisely control the size of cerium oxide nanoparticles down to 1.3 nm. This enabled the first direct investigation of size effects in metal oxides, revealing structural distortions and unexpected Ce³⁺ states—insights that could advance the design of catalytic and electronic nanomaterials.

Researchers from the China Institute of Atomic Energy (CIAE) and Lanzhou University have jointly conducted systematic integral experiments using D-T and D-D neutron sources on natural lead (^natPb) slabs. By addressing key data gaps in large-angle neutron scattering and thoroughly validating four major evaluated nuclear data libraries, this study establishes new benchmark data, supporting safer reactor designs, advanced fusion systems, and optimized radiation shielding applications.

This study is pleased to present a seminal study examining reserve management strategies across 45197 company-line-year observations from 2000-2012. The research pioneers line-of-business-level analysis to disentangle insurers' multidimensional incentives—tax optimization versus solvency management—through structural reserve adjustments. Employing two-way clustered fixed-effects models and regulatory policy shocks, the study establishes causal evidence of strategic reserve allocation patterns previously undocumented in actuarial literature.

Researchers from Nanjing University of Science and Technology have developed a novel computational method called BlastGraphNet, which uses graph neural networks to predict the distribution of blast loads on complex 3D buildings. This data-driven approach offers significant improvements in accuracy and efficiency compared to traditional methods, with potential applications in structural design, civil defense, and safety assessments. The study, published in Engineering, demonstrates the model’s ability to provide rapid and precise predictions of blast loads, supporting more effective risk management and engineering solutions.

NIMS and its collaborators (IHI Corporation, Kawasaki Heavy Industries, Ltd., Kansai Electric Power Co., Inc., Kobe Steel, Ltd., Electric Power Development Co., Ltd., the Japan Atomic Energy Agency, Mitsubishi Heavy Industries, Ltd. and Elix, Inc.) have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the confidentiality of each organization’s data. This research was published online in Tetsu-to-Hagané on February 6, 2025.

Using the now-decommissioned Summit supercomputer, researchers at the Department of Energy’s Oak Ridge National Laboratory ran the largest and most accurate molecular dynamics simulations yet of the interface between water and air during a chemical reaction. 

What happens on the skin often begins much deeper. In women living with chronic inflammation, pain, and recurrent skin lesions, the root of the problem may be linked to hormonal, immune, and metabolic imbalances. This is the case with hidradenitis suppurativa (HS), a condition that goes far beyond dermatology and severely impacts quality of life. In this context, nutrition emerges as a key tool—not as a miracle cure, but as a powerful ally to reduce symptoms, control flares, and regain well-being.