With the exponential increase in the number of objects in low Earth orbit (LEO), collision risks have risen correspondingly, making high-precision orbit prediction a core requirement for ensuring satellite safety and space environment management. Two-Line Elements (TLEs) are the only publicly available orbital data source and are widely used in conjunction with the Simplified General Perturbations 4 (SGP4) model for LEO object orbit prediction. However, LEO objects are significantly affected by complex time-varying perturbations such as atmospheric drag, causing model prediction errors to grow rapidly over time—short-term errors can reach hundreds to thousands of meters, while medium- and long-term prediction errors may exceed 10 km. Although traditional dynamical models can achieve relatively high accuracy through numerical integration, they incur substantial computational costs and suffer from limited atmospheric density modeling accuracy (only about 5%–15%). Analytical methods, while computationally efficient, struggle to handle complex perturbations. In recent years, bidirectional long short-term memory (BiLSTM) networks have demonstrated strong capabilities in time-series prediction; nevertheless, an effective approach for systematically modeling and compensating for TLE-based prediction errors using solely publicly available TLE data has remained lacking.

Gastric cancer remains a major global health challenge, and therapeutic resistance continues to limit the effectiveness of existing HER2-targeted treatments. A research team from Jiangsu University has developed a bispecific cellular nanovesicle platform that simultaneously targets CD16-positive natural killer (NK) cells and HER2-positive gastric cancer cells. The engineered nanovesicles enhance NK cell recruitment, activation, cytokine secretion, and tumor-killing activity, providing a promising strategy for next-generation cancer immunotherapy.

River sediments are not simply passive sinks for polycyclic aromatic hydrocarbons (PAHs). A study combining global observations with multimedia modeling suggests that climate-driven changes in sediment–water exchange could increase future PAH concentrations and ecological risks in the Yangtze and Huanghe watersheds, while the St. Lawrence watershed may follow a different, lower-risk trajectory.

This study shows that the recovery of the critically endangered Pinus dabeshanensis depends heavily on a few highly productive mother trees. After monitoring 88 adult trees over three years, researchers found that most trees produced no seeds, while just six trees produced more than 70% of all mature seeds. Seed dispersal success was mainly linked to how many mature seeds each tree produced. The findings suggest that conservation efforts should focus on protecting and supporting these key mother trees.

Forests store carbon and support biodiversity, but management that benefits one goal may not benefit the other. A study of 150 forest plots found that increasing management intensity reduced total and aboveground carbon while increasing belowground carbon. Aboveground insect diversity and biomass also increased, whereas belowground fauna showed no overall response. Relationships varied among arthropod groups, habitats and years, revealing no single optimal management strategy. The authors suggest combining generally lower-intensity management with a mosaic of forest types to better balance carbon storage, arthropod habitat, climate mitigation and biodiversity conservation.

An ethylene carbonate (EC)-based electrolyte highly compatible with high-voltage LiNi_0.5Mn_1.5O₄ (LNMO) cathodes is developed. Two insights that go against conventional understanding are uncovered, i.e. contrary to the common belief that EC decomposes readily under high voltage, it demonstrates outstanding high-voltage stability; and LNMO cycles in this electrolyte without forming a typical cathode/electrolyte interphase, experiencing instead a unique surface restructuring.

Approximately one-third of fresh fruit is lost along the supply chain, with harvesting and grading representing major sources of loss. Inspired by the deformation mechanism of octopus suckers, the researchers developed a soft robotic gripper integrated with three-axis triboelectric tactile sensors. The system independently resolves normal and tangential forces and, within a single picking cycle, simultaneously assesses fruit firmness, enables damage-free harvesting, and measures fruit weight. Field trials demonstrated the feasibility of integrating non-destructive harvesting with in-field quality grading, offering a new pathway to reduce post harvest losses, streamline fresh-produce supply chains, and improve operational efficiency.

A review published in Nano Research systematically examines how acid treatment engineers the optoelectronic properties of two-dimensional transition metal dichalcogenides, confronting the long-standing trade-off between optical enhancement and electrical performance. Superacid treatment boosts photoluminescence quantum yields toward unity by passivating sulfur vacancies, yet often degrades field-effect transistor transport. The authors rationalize this paradox with a sulfur-vacancy-mediated hopping transport model and assess strategies from two-step thiol–acid passivation to Lewis acid substitutional doping that decouple optical and electronic responses. Future directions include machine-learning-assisted atomic-scale characterization and defect-diverse studies, aiming to transform passive defect passivation into active functionality design.

The global push to transition from fossil fuel dependence to low-carbon sustainable energy systems has spurred urgent research into advanced functional materials that address critical performance gaps in energy storage and conversion technologies. Metal-organic frameworks (MOFs), an emerging class of porous crystalline materials with ultrahigh surface areas and precisely tunable pore structures, have exhibited outstanding advantages across electrochemical energy storage, electrocatalysis and photocatalysis, offering transformative solutions to advance the deployment of next-generation clean energy technologies.

Researchers at Northeast Normal University have shown that the relative twist angle between two WS₂ layers can be used to tune both exciton binding energy and photoinduced bandgap renormalization. Using femtosecond transient absorption spectroscopy, they found that the exciton binding energy changes from 265 to 336 meV as the twist angle approaches 30 degrees, while bandgap renormalization near the Mott transition varies by more than 100 meV. Strong interlayer coupling near 0 degrees also enhances exciton transport, yielding an effective mobility of 134 cm²/(V·s), about three times that of the near-30-degree bilayer. The results connect twist-controlled interlayer coupling with dynamic screening and nonequilibrium many-body physics in two-dimensional semiconductors.