Professor Qian’s team verified the carbon fixation technology of microbial synergistic steel slag under the condition of flue gas in cement plant, which can greatly accelerate CO₂ fixation, significantly improve the activity of steel slag and achieve safe utilization, and clarified the mechanism of action of microorganisms.

Perovskite-structured BaFe_0.4Co_0.4Zr_0.1Y_0.1O_3-δ (BFCZY) exhibits proton-electron-oxygen ion triple conductions and high catalytic activity of oxygen reduction (ORR) and oxygen evolution reaction (OER) at low temperatures. Although it has stability problems in a humid air environment, the degradation mechanism of BFCZY and the influences of temperature, steam content and polarization on its stability have been rarely studied. The activity and stability of the BFCZY oxygen electrode are significantly improved through heterointerface engineering by infiltrating the BaCoO₃ (BCO) catalyst. It is imperative to fill this research gap, as it is crucial for promoting the commercial development of reversible protonic ceramic electrochemical cells (R-PCECs).

Highly efficient chemiresistive gas sensors are crucial for numerous applications. Notably, though the generally high working temperature brings fine sensing performance, as well as causing high power consumption, poor safety, and disabled operational stability. Thanks to the cost-effective, simplified structure and integrated diversity, room temperature (RT) operational mode has been put forward and applied in gas sensor devices. However, insufficient limits of detection limit (LOD) and disappointingly long detection time limit their broad applications, meanwhile, the existing sensing mechanism based on the charge transfer between the analyte gas and the oxide surface hampers room temperature gas sensing with low LOD and rapid speed.

On June 18, 2025, Clarivate released the 2025 Journal Citation Reports™ (JCR™). Eighteen English-language STM journals published by Tsinghua University Press received a Journal Impact Factor (JIF), with 13 (72.2%) journals ranking in the Q1 quartile.

Rare genetic disorders affect more than 300 million people worldwide, with children making up 70% of those impacted, according to EURORDIS. These conditions often go undiagnosed for years due to complex, varied symptoms. Today, genetic testing offers powerful insights into DNA, enabling accurate diagnoses, targeted care, and vital support.

In the field of Large Language Models(LLMs) vertical applications, the innovative direction of deeply integrating foundational LLMs with industrial scenarios has emerged. Researchers have developed an intelligent decision support system for CNC system fault diagnosis, utilizing LLMs and domain knowledge graph(KG) technologies. This advancement effectively overcomes the limitations of typical expert systems in symbolic reasoning efficiency and accuracy. The study, published in Engineering, provides insights and methods for the practical application of industrial large models.

Mystery infections—persistent and unexplained illnesses—are a rising global health challenge, often delaying critical treatment as patients and clinicians search for answers. Today, advanced genetic testing technologies are transforming the landscape, rapidly identifying hidden pathogens and unlocking new pathways for accurate diagnosis and effective intervention.

A new national guideline provides evidence-based recommendations for diagnosing, treating, and preventing pediatric respiratory syncytial virus (RSV) infections in China. Addressing 12 clinical questions, it guides clinicians on diagnostic methods, oxygen therapy, use of interferon-alpha, and nirsevimab prophylaxis. The guideline discourages unnecessary medications and emphasizes supportive care and long-term monitoring. Developed by leading experts and published in Pediatric Investigation, it aims to standardize care, reduce hospitalizations, and reflect China’s RSV burden and seasonal trends.

Photothermoelectric (PTE) photodetectors with self-powered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields. However, traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument. Herein, we present a flexible PTE photodetector capable of dual-mode output, combining electrical and optical signal generation for enhanced functionality. Using solution processing, high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer. The geometrically asymmetric electrode design significantly enhances the responsivity, achieving 0.33 mA W^-1 under infrared illumination, twice that of the symmetrical configuration. This improvement stems from optimized photothermal conversion and an expanded temperature gradient. The PTE device maintains stable performance after 300 bending cycles, demonstrating excellent flexibility. A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials, leading to a real-time visualization of invisible infrared radiation. Leveraging this functionality, we demonstrate the first human–machine collaborative infrared imaging system, wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern. Our study not only provides a new solution for functional integration of flexible photodetectors, but also sets a new benchmark for human–machine collaborative optoelectronics.