Electronic skin (e-skin), a stretchable, conformable, and multimodal sensing platform, is rapidly advancing in healthcare, robotics, and human–machine interaction (HMI). However, prolonged wear and sweat accumulation at the e-skin-skin interface can introduce signal artifacts, cause discomfort, and eventually lead to interfacial failure. Inspired by the unidirectional liquid transport of the Nepenthes peristome, we constructed an intelligent breathing e-skin (SPTL) featuring a Janus bilayer structure that creates a “liquid diode” effect for active sweat transport, achieving a remarkable cumulative one-way transport index of 956.36 while maintaining a dry interface even under profuse perspiration. This device exhibits a high tensile strain of 627%, a breathability of 20.02 mm s−1, and a pressure sensitivity of 7.39 kPa−1. Furthermore, the SPTL demonstrates versatile multimodal sensing capabilities, including real-time Morse code and non-contact capacitive sensing, while sustaining stable performance over 10,000 pressing cycles (capacitance decay < 3%). As a bio-integrated electrode, SPTL enables high-fidelity acquisition of electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG) signals, significantly outperforming commercial Ag/AgCl electrodes. Integrated with machine learning algorithms and EMG signals captured by the SPTL, it facilitates precise teleoperation of a quadruped robot and handwritten letter recognition with over 95% accuracy. This bionic strategy provides a versatile solution for intelligent, breathable, and multimodal bio-integrated interfaces.

Agrophotovoltaics (APV), as an innovative model integrating agricultural production with solar photovoltaic power generation, is an important pathway to address the dual pressures of food security and low-carbon energy. As the global energy transition accelerates and agricultural modernization advances, its advantages of “dual land use and food–energy co-production” have become increasingly prominent. It can achieve efficient land use while accommodating clean electricity output and crop growth, aligning with the needs of sustainable development. However, for a long time, traditional models have been constrained by bottlenecks such as imbalanced light distribution, lagging temperature and humidity regulation, inefficient manual operation and maintenance, and data fragmentation, making it difficult to balance energy and agricultural benefits and seriously hindering large-scale promotion.

The practical deployment of lithium–sulfur (Li–S) batteries is hampered by the shuttle effect of lithium polysulfides (LiPSs) and sluggish kinetics of sulfur redox reaction. While prevailing research focuses on maximizing the intrinsic activity of catalysts, the critical role of the host architecture in modulating the local reaction microenvironment remains overlooked. Herein, we report a facile ion-exchange strategy to synthesize double-shell hollow Prussian blue analogue derivative (Co_2.5Fe/NC) as advanced sulfur hosts by precisely controlling the Co/Fe molar ratio at 2.5. Finite element simulations and in situ diagnostics reveal that the double-shell structure orchestrates a self-propelled electrolyte flow within the nanoreactor during operation. This dynamic flow effectively mitigates the spatial concentration heterogeneity of LiPSs, especially near the catalysts, thereby preventing active material passivation and ensuring sustained high catalytic efficiency. Consequently, even with a catalyst of moderate intrinsic activity, the Co_2.5Fe/NC cathode achieves exceptional stability under lean electrolyte conditions (0.016% decay per cycle over 1000 cycles at 2 C). More importantly, an Ah-level pouch cell delivers a high energy density of 454.7 Wh kg⁻¹. This work shifts the paradigm from solely pursuing catalytic activity to designing host structures that intelligently manage the electrochemical microenvironment, offering a new avenue toward practical Li–S batteries.

Meta-instability is an irreversible precursor of earthquakes. To identify the meta-instability precursor of the Yangbi MS6.4 earthquake (99.87°E, 25.67°N) that occurred on May 21, 2021, we selected seismic data from the pre-earthquake period between May 1 and May 21. We calculated the apparent velocity ratio and the apparent Poisson's ratio within the region (98.5°E−101°E, 24.6°N-27.1°N) and interpolated these values. Our findings revealed that the trends of the fitted straight lines at the maximum and minimum points of the gradient divergences of the apparent velocity ratio field and apparent Poisson's ratio field are consistent with the trend of nodal planes 1 and 2 of the focal mechanism, respectively. Interestingly, the trend of the fitted straight lines at the minimum and maximum points of their values is consistent with the trend of nodal planes 1 and 2 of the focal mechanism, too. Positive gradient divergence values indicate energy released, while negative values suggest energy absorption. This phenomenon is characterized by synergy and can be mutually explanatory. The observed stress state matches the experimentally demonstrated meta-instable state, indicating that it is a precursor signal. We propose that this method can be a reference for identifying the meta-instability of strike-slip strong earthquakes with a significant number of foreshocks. For seismically active regions, increasing the number of stations with rich data acquisition will facilitate more convenient stress field analysis.

Groundwater overexploitation in northern Henan Province has led to significant land subsidence and aquifer degradation. This methodologically driven study proposes a physically consistent framework that integrates Sentinel-1A-based Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) data (2017–2022) with long-term groundwater head observations to invert elastic and inelastic skeletal storage coefficients and assess total groundwater storage (TGWS) changes. The framework is applied to the Anyang–Puyang Plain as a representative case study. MT-InSAR deformation time series were combined with Multi-channel Singular Spectrum Analysis (MSSA) decomposition and polynomial fitting to extract seasonal and long-term trends, enabling spatially distributed inversion of aquifer parameters. Results show strong spatial coupling between land subsidence and hydraulic head decline (maximum Pearson r is 0.993), with deformation dominated by inelastic compaction. The elastic storativity ranges from 0.00093 to 0.01596, whereas the inelastic storativity, ranging from 0.0362 to 0.0457 indicates irreversible compaction processes associated with a cumulative groundwater loss of approximately 3.01 × 108 m3. Based on the long-term groundwater level observations collected in this study and the inferred assumption of preconsolidation head, the TGWS loss reached −12.27 × 109 m3, with a mean annual rate of −2.19 × 109 m3/yr and pronounced depletion in northern areas. Standard deviational ellipse (SDE) analysis revealed a north-westward shift of the depletion centre and enhanced spatial clustering. These findings provide critical hydromechanical insights and quantitative constraints for future groundwater regulation and aquifer recovery strategies in overdrawn regions.

A research team has identified two forms of a gene linked to feeding in juvenile Siberian sturgeon and found that both respond to meals and fasting. 

Masato Ota, Assistant Professor at the National Institute for Fusion Science, National Institutes for Natural Sciences (at the time of the research, a graduate student at the Graduate School of Science, Osaka University); Youichi Sakawa, Associate Professor at the Institute of Laser Science, Osaka University; Ryutaro Matsui, Specially Appointed Associate Professor at the National Institute for Fusion Science, National Institutes for Natural Sciences (at the time of the research, Assistant Professor at Kyoto University); Yasuaki Kishimoto, Program-Specific Researcher at the Institute for Chemical Research and Program-Specific Professor at the Institute of Advanced Energy, Kyoto University; Toshinori Yabuuchi, Chief Scientist at the Japan Synchrotron Radiation Research Institute; and Yuji Fukuda, Senior Principal Researcher at the Kansai Institute for Photon Science (KPSI), National Institutes for Quantum Science and Technology (QST)—has developed a new measurement technique that simultaneously captures diffraction signals ranging from ultra-small angles to wide angles with a single camera when a single X-ray pulse is irradiated onto a structure. By combining this method with an X-ray free-electron laser, the team derived the rarefaction velocity of high-energy-density plasma on a picosecond timescale across a broad range of spatial scales—from nanometers to submicrometers. A comparison of experimental results and numerical simulations revealed that even an increase of just a few nanometers in the size of the initial plasma on a solid surface reduces the efficiency with which the laser is absorbed by the microstructured solid to approximately one-fourth.