Researchers at the University of Massachusetts and the University of Pennsylvania successfully synthesized a multiscale multi-principal element alloy (MPEA) composed of Ni, Fe, and Mn, through an integrated processing framework of DIW-based additive manufacturing combined with chemical dealloying. The work provides a new pathway to accelerate both the discovery and the production of novel multiscale MPEAs and have great potential in energy conversion and storage applications.

In a paper published in National Science Review, a team of scientists have achieved precise control of molecular alignment in van der Waals epitaxy, enabling the growth of single-crystal Sb₂O₃ films. These films, used as gate dielectrics in MoS₂-based transistors, demonstrate ultra-low leakage current and near-ideal switching performance. This advancement opens pathways for scalable, high-crystallinity 2D molecular films, highlighting their potential in future electronics and optoelectronics applications.

In a paper published in Science China Life Sciences, professor Wang Guoqing's team at Jilin University conducted single-cell sequencing analysis on right ventricular free wall tissue from healthy donors and patients with characteristic coagulation abnormalities of COVID-19, revealing the mechanism of cardiac microthrombosis formation in patients after SARS-CoV-2 infection.

The poor antioxidant performance of traditional electrolytes has limited the development of high-voltage potassium-ion batteries. Researchers have proposed a cosolvent electrolyte design strategy that overcomes the salt dissolution limitations through ion-dipole interactions, significantly enlarging the anion-rich solvation clusters. These large anion-rich solvation clusters help form a stable electrode-electrolyte interface, enhancing compatibility with high-voltage electrodes. This cosolvent electrolyte design opens new pathways for the development of high-voltage potassium-ion batteries.

Gene fusions are vital biomarkers for tumor diagnosis and drug development, with precise detection becoming increasingly important. This review explores the links between gene fusions and common tumors, systematically evaluating detection technologies like fluorescence in situ hybridization (FISH), polymerase chain reaction (PCR), immunohistochemistry (IHC), electrochemiluminescence (ECL), and next-generation sequencing (NGS). FISH is the gold standard for DNA-level rearrangements, while PCR and NGS are widely used, with PCR confirming known fusions and NGS offering comprehensive genome-wide detection. Bioinformatic tools like STAR-Fusion, FusionCatcher, and Arriba are assessed for diagnostic accuracy. The review highlights how artificial intelligence (AI), particularly deep learning (DL) technologies like convolutional neural networks (CNNs) and recurrent neural networks (RNNs), is transforming gene fusion research by accurately detecting and annotating genes from genomic data, eliminating biases. Finally, we present an overview of advanced technologies for gene fusion analysis, emphasizing their potential to uncover unknown gene fusions.

When a star moves around a supermassive black hole (SMBH) in a close elliptical orbit, it gets partially tidally disrupted every time it reaches the pericenter, emitting a series of luminous flares, known as partial tidal disruption event (pTDE).

Magnetic reconnection is a fundamental physical process in plasmas, through which the magnetic energy is converted into plasma kinetic energy and thermal energy rapidly. Current sheets in turbulent plasma are the key trigger to magnetic reconnection. However, how current sheets come into being remains unresolved.