Electromagnetic waves are extensively utilized in many fields such as communication and medicine. Excessive electromagnetic waves will cause electromagnetic pollution. Electromagnetic pollution may lead to electromagnetic interference (EMI), which will interfere sensitive electronic devices. Furthermore, electromagnetic pollution is harmful to human health and may potentially cause information leakage. The development of lightweight and flexible EMI shielding materials with high mechanical strength and excellent flame retardant properties is currently a hot and difficult research topic.

The stress concentration and damage evolution of ultra-high performance concrete (UHPC) under long-term dynamic loading are difficult to monitor in real time, as conventional sensors suffer from poor durability, high cost, and incompatibility with matrix deformation. Recently, a team from the University of Shanghai for Science and Technology developed a machine learning framework that significantly improves dynamic compressive stress prediction in high-sensitivity ultra-high performance concrete (HS-UHPC) by incorporating electrical resistivity as a key input parameter. Using three machine learning algorithms—double-layer neural network, boosting tree, and squared exponential Gaussian process regression (SE-GPR)—the team demonstrated that adding resistivity measurements alongside traditional displacement data enhances predictive accuracy, with the SE-GPR model achieving an R² of 0.85 and reducing mean absolute error by 41.1% compared to displacement-only models. The core innovation is using electrical resistivity to directly capture load‑induced microstructural changes, overcoming the damage‑detection limitations of traditional strain or displacement measurements. This provides a new theoretical basis for intelligent monitoring of self‑sensing concrete.

Liver metastases pose a significant challenge in immunotherapy due to their high resistance to treatment. A recent review in eGastroenterology consolidates emerging evidence that regulatory T cells (Tregs) play a crucial role in driving immune tolerance within the hepatic metastatic niche. By integrating data from various tumor types, the authors highlight how Tregs exhibit context-dependent roles in tumor progression, immunotherapy resistance, and systemic immune suppression, pointing to promising opportunities for combination therapies targeting Tregs in liver metastases.

This study reveals that geographic isolation and Quaternary climatic fluctuations jointly drove genetic differentiation and multiple glacial refugia of the fully mycoheterotrophic herb Burmannia nepalensis, with recent human activity causing population decline.

A research team investigated how high-volume fly ash replacement affects concrete’s early-age characteristics and hardening properties. Tests with 0%–60% fly ash replacing cement show that fly ash improves flowability but delays early hydration. While early strength drops with higher fly ash, 10%–40% replacement delivers superior long-term mechanical performance. The team recommends 40% fly ash as the optimal cement replacement, balancing environmental sustainability, cost efficiency, and structural performance for green concrete engineering.

Obesity is characterized by excessive energy storage in white adipose tissue, whereas increasing energy expenditure through browning the white adipose tissue represents a promising therapeutic direction. 

Children and adolescents in obesity treatment do not respond in exactly the same way throughout the year.

Variable-load unmanned aerial vehicles (UAVs) are key tools in smart agriculture, particularly playing a vital role in the prevention and control of crop pests and diseases. Equipped with pesticide spraying equipment, these quadrotor UAVs offer advantages such as high operating speed, low risk of chemical drift, and improved crop coverage, making them widely used in agricultural plant protection. However, during spraying operations, the pesticide liquid gradually diminishes over time, leading to continuous changes in the UAV's overall mass, center of gravity position, and moment of inertia.

Soil acidification is one of the pressing issues confronting global farmland today. Studies indicate that approximately 40% of farmland soils worldwide are at risk of acidification. In China, the topsoil pH of major croplands has decreased by an average of 0.5 units between 1980 and 2000, largely attributed to excessive chemical fertilizer application and atmospheric acid deposition.