A 66-year-old man with bullous pemphigoid experienced worsening skin lesions during dupilumab treatment. The true cause was crusted scabies—not a disease flare. The case reminds clinicians to consider scabies when immunosuppressed patients show persistent crusting or itching.

A review finds exosome/small extracellular vesicle therapies can improve diabetic wound healing through multiple microenvironmental effects, but direct evidence that they guide keratinocyte plasticity and barrier recovery remains limited.

The commercialization of liquid lithium-ion batteries has revolutionized the consumer electronics industry. However, conventional lithium-ion batteries with graphite anodes and organic electrolytes are approaching their intrinsic performance limits and struggle to meet the growing demands for higher energy density, reliability, and safety in electric vehicles and large-scale energy storage. Solid-state batteries utilizing lithium or sodium metal anodes are considered promising next-generation energy storage solutions. Despite this potential, the formation of dendrites during charge–discharge cycling remains a critical challenge. Dendrite growth can initiate a destructive feedback loop of crack propagation and further dendrite intrusion, ultimately leading to battery failure and performance degradation. Previous studies have predominantly focused on single physical domains, such as electrochemical, stress, or thermal fields. However, such single-physics approach limits the understanding of dendrite evolution under realistic, coupled multiphysics conditions. This review first compares the morphological characteristics of dendrites in liquid and solid-state metal batteries. It then critically examines the key factors and predictive models of dendrite formation, initially from single-physics and subsequently from an integrated multiphysics perspective. Finally, strategies for mitigating dendrite growth via multiphysics field regulation are summarized. By establishing a comprehensive framework that integrates morphology evolution, multiphysics modeling, and suppression strategies, this work provides a foundational theoretical understanding for addressing dendrite formation in solid-state lithium and sodium metal batteries.

A 71-year-old woman with a two-year history of a slowly deepening skin depression on her trunk was found to have atrophic dermatofibrosarcoma protuberans (DFSP)—a rare variant of skin cancer that mimics benign conditions such as scars or morphea. The case highlights the importance of biopsying firm, persistent atrophic lesions, as early diagnosis and complete surgical excision are key to preventing local recurrence.

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.

Anaerobic co-digestion of textile waste with food waste (FW) could turn two stubborn waste streams into renewable methane while reducing landfilling and incineration. 

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.

This review evaluates China's first basin-scale aquatic ecosystem monitoring pilot in the Yangtze River Basin and demonstrates that shifting from chemical water-quality compliance to integrated, classification-based ecosystem assessment can support measurable ecological recovery. The review shows how tailoring indicators and targets to distinct rivers, lakes, and reservoirs across the basin can help guide targeted restoration and produce tangible results.

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.