Qi Zhao et al. demonstrate that low-dose exposure to polystyrene microplastics (PSMPs) leads to severely abnormal reproduction in females, manifested by oocyte meiotic maturation defect, overactivation of cell metabolism pathways and H4K16 hyperacetylation, which can be attributed to HDAC3 insufficiency.

Nature ion channels play significant role in the living organisms, which can translocate physiological relevant ions across the cell membranes as demand. To simulate and replace the function of nature channels, researchers are encouraged to develop artificial channels using simple and smart supramolecular structures. Inspired by the complementary hydrogen bonding interactions of DNA/RNA, a team of researchers from East China University of Science and Technology reported a simple synthetic supermolecule system to form stable ion channels in the lipid membranes, and the efficient transport of K⁺ triggers apoptosis of cancer cells. It represents one of the few examples of using complementary hydrogen bonding interactions to construct effective ion channels and offers new perspectives in the developments of anticancer drugs.

High-voltage lithium metal batteries (HVLMB) are appealing candidates for next-generation high-energy rechargeable batteries, but practical applications are still limited by the severe capacity degradation, attributed to the poor interfacial stability and compatibility between the electrode and electrolyte. To address these issues, preparing an artificial solid electrolyte interphase (SEI) with outstanding performance in stabilizing the traditional anode electrolyte is considerably important.

White organic light-emitting diodes (WOLEDs) are promising next-generation lighting sources with flexibility, low power consumption, and eye-friendly properties. Current limitations stem from inefficient use of triplet excitons in unstable blue emitters, restricting their power efficiency and stability. Shenzhen University team recently developed high-efficiency, long-lifetime WOLEDs using stable blue multi-resonance thermally activated delayed fluorescence (MR-TADF) materials, paving the way for next-generation energy-saving lighting and display technologies.

A novel flexible COF-based porous liquid, COF-301-PL, has been synthesized by researchers at the Fujian Institute of Research on the Structure of Matter, CAS. COF-301-PL exhibits remarkable dynamic tunability. High-pressure CO₂ adsorption experiments and theoretical calculations demonstrate that its cavities can adapt dynamically to changes in CO₂ pressure, leading to significantly enhanced CO₂ capture and catalytic performance. This research opens up new avenues for the design and development of porous liquids with functional properties.

How can the shrinkage of the interconnection interface resulting from the surface tension at heterogeneous nanomaterials be suppressed? Hui Wan and coworkers from Wuhan University demonstrated a laser-induced thermocompression bonding strategy in IJEM and successfully bonded Cu nanowires with a diameter of 200 nm to Au pads. Their work represents an important step towards interconnect packaging and integration of nanodevices.

The electronic interaction between electron-deficient inner surface of graphene layers and Fe species modifies the surface electronic structure of χ-(Fe_xCo_1-x)₅C₂, thereby improving CO₂ adsorption capacity and enhancing the efficient conversion of CO₂ and moderate C-C coupling. FeCoK@C exhibited unprecedented C_2-4⁼ space time yield.

The study introduces a breakthrough method for Knowledge Graph Completion that utilizes higher-order neighbor subgraphs to effectively address the challenge of high sparsity in Knowledge Graphs.

This study introduces MultiKano, an automated tool designed to annotate cell types in single-cell multi-omics datasets. The method integrates Kolmogorov-Arnold networks with data augmentation techniques to improve the accuracy of cell type annotation, a challenging task in single-cell genomics. By combining multiple types of omics data, the tool provides a more holistic understanding of cellular functions and gene regulation. This approach addresses challenges in cell annotation, particularly in large-scale single-cell datasets.