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.

Assisted reproductive technology (ART) has transformed infertility treatment but is associated with a 2–5-fold increased risk of ectopic pregnancy (EP) compared with natural conception. Despite accumulating evidence, a comprehensive bibliometric evaluation of ART-related EP (ART-EP) research—encompassing its evolution, knowledge gaps, and collaboration patterns—remains lacking. This study aimed to systematically map the ART-EP research landscape, identify critical gaps, and characterize global collaborative networks in alignment with the evidence-based optimization goals of the European Society of Human Reproduction and Embryology.

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder, accounting for approximately 80%–95% of anovulatory infertility cases. Patients with PCOS face various challenges during in vitro fertilization and embryo transfer (IVF-ET) treatment, including a high rick of ovarian hyperstimulation syndrome (OHSS), reduced fertilization rates, and increased miscarriage risk. The clinical manifestations of PCOS are diverse, with common symptoms including menstrual irregularities, hyperandrogenism, and polycystic ovarian morphology. Notably, approximately 50%–75% of patients with PCOS are affected by obesity, which not only exacerbates the clinical manifestations of the disease but also potentially affects reproductive outcomes. Body mass index (BMI) significantly influences IVF-ET outcomes in patients with PCOS by affecting ovarian function, oocyte quality, and endometrial receptivity. This review aims to explore the impact and underlying mechanisms of BMI on IVF treatment outcomes in patients with PCOS and emphasize the importance of weight management, with the goal of providing evidence-based support for optimizing assisted reproductive strategies, thereby improving pregnancy rates and reducing the risk of complications.

In a paper published in Science China Life Sciences, researchers report a lineage‑specific expansion of the hexokinase (HK) family in the genomes of extremely thermotolerant Echinolittorina snails, and identify novel isoforms anchored to the cell membrane via post‑duplication domain fusion. These membrane‑localized HKs enhance cell viability under heat stress by optimizing hexose catabolism, suggesting a crucial role in sustaining the energy‑demanding protective responses that allow Echinolittorina snails to survive thermally harsh intertidal habitats.

Researchers developed a walking-support robot that uses large-area tactile contact at the waist and underarms to continuously follow movement intent and provide balance support. In tests with healthy adults, the same touch-based interaction enabled forward, backward and turning assistance, responded to mild balance disturbances, and reduced hamstring activity compared with handle-based support.

The human brain performs perception, memory, learning and decision-making with only about 20 watts of power. A new study in National Science Review proposes a physics-based framework to explain this extraordinary efficiency. By modeling cooperative neuronal activity, the researchers suggest that brain information may be stored and processed through dynamic electrical patterns, offering new clues for brain science and energy-efficient artificial intelligence.

A research team has shown that biochar can reduce the ecological stress caused by copper and commercial glyphosate formulations in soil, using earthworm behavior as an early warning signal of contamination. 

A research team has found that adding mulberry branch-derived biochar to feed can improve intestinal health and water quality in largemouth bass aquaculture without significantly changing fish growth performance.

Hydrogen produced by water electrolysis is widely regarded as a promising clean energy carrier, but developing efficient and durable electrocatalysts without relying on large amounts of precious metals remains a major challenge. In a recent study published in the Journal of Bioresources and Bioproducts, researchers developed a wood-derived carbon-supported high-entropy alloy catalyst using a rapid carbothermal shock strategy. The work demonstrates that regulating the electronegativity of alloy components, together with enhanced graphitization at the alloy–carbon interface, significantly improves catalytic activity for the hydrogen evolution reaction (HER). Among the investigated compositions, the Mn-containing catalyst exhibited the best performance, requiring only 28 mV overpotential to reach 10 mA cm^-2 in alkaline electrolyte while maintaining remarkable long-term stability. The study further combines advanced characterization and density functional theory calculations to reveal how electron redistribution optimizes water dissociation and hydrogen adsorption, providing a new strategy for designing sustainable biomass-derived electrocatalysts.