A research team led by Professor Chuanxin He at Shenzhen University employed innovative organic doping strategies to modify a large number of molecules within Pt nanocrystals, significantly altering the catalytic properties of metallic Pt. Notably, the electrocatalytic hydrogen evolution performance, which typically dominates in aqueous solution systems, has been successfully transformed into CO₂ electroreduction reaction (CO₂RR). The synthesized PtNPs@Th catalyst demonstrates the ability to electrochemically reduce CO₂ to methane (CH₄) under acidic conditions, exhibiting stability for over 100 hours.

A joint research team led by Prof. Jie Zhang found the reasons of discrepancies between experimental results of neutron spectral moment analyses and hydrodynamic predictions in nuclear burning plasmas in the recent inertial confinement fusion (ICF) experiments conducted at the National Ignition Facility, through unprecedented kinetic simulations incorporating large-angle collisions. These collisions generate supra-thermal ions during the deposition of alpha particles, causing deviations from the equilibrium state and falling outside the scope of the hydrodynamic descriptions. The kinetic simulations further reveal that large-angle collisions play a pivotal role in advancing the ignition moment and augmenting the deposition of α-particles in ICF nuclear burning plasmas.

Heart failure is the terminal stage of various cardiovascular diseases, usually characterized by pathological myocardial hypertrophy. So far, the pathogenesis of heart failure is not fully understood. The global burden of cardiovascular disease and epidemiological evidence indicate that in addition to traditional risk factors such as genetic inheritance and hypertension, exposure to exogenous environmental pollutants is a new risk factor. In recent years, the use of antimicrobials has increased, resulting in more exposure of these substances to humans, raising concerns about potential risks to human and environmental health. According to the findings of this study, the exposure to antibacterial agent TCC may be a new risk factor for metabolic cardiovascular diseases. This conclusion is supported by physiological indicator tests and a combined analysis of metabolomics and transcriptomics in cardiac organoids.

A research team led by Prof. Jintao Zhang (School of Chemistry and Chemical Engineering, Shandong University) demonstrates the in-situ loading of molybdenum carbide nanoclusters (MoC) and zinc single atoms (Zn-SA) within porous carbon fibers to invoke the electrocatalytic conversion of iodine at the interface, providing robust guidance for constructing advanced iodine catalysts and optimizing their battery performance.

In the solar system, Icy Worlds such as Europa and Enceladus hold great potential for extraterrestrial life and may provide humanity an answer, within this century, to the age-old question of life beyond Earth. Exo-AUV technology shows promise in life detection in the icy shell, at the ice-water interface and on the seafloor of Exo-ocean. Space agencies, including NASA and DLR, are enthusiastic about deploying Exo-AUVs to explore life in these regions. However, the where and how to find life, the technologies to be utilized and the goals to be achieved are crucial aspects for future Exo-AUV life detection missions on Icy Worlds. This study delves into a hypothetical mission of life detection on Europa, discussing science goals, detectable objects, potential regions and biogenic analysis for Icy Worlds. It proposes a life detection strategy for Icy Worlds based on Exo-AUVs, presents key contextual elements for Exo-AUV operations, outlines technological requirements for hull, payloads and autonomy, introduces the current state of Exo-AUV research and addresses existing challenges. This study also suggests a roadmap for conceptual development of Exo-AUV and a Concept of Operations for Multiple Exo-AUV System (ConOps for MEAS). This system aims to assist planetary scientists and astrobiologists in exploring Icy Worlds, identifying robust biosignatures and potentially discovering extant organisms, even prebiotic chemical systems.

Recently, the group led by Chuan-Feng Li and Zong-Quan Zhou at University of Science and Technology of China has successfully demonstrated an integrated spin-wave quantum memory, by implementing spin-wave quantum storage protocols using a specially developed device.

In a review published in Molecular Biomedicine, a team from Datta Meghe Institute of Higher Education and Research investigates the transformative role of Artificial Intelligence (AI) in pandemic response, highlighting its contributions to epidemiological modelling, vaccine development, and disease surveillance. The study examines how AI-driven models like SIR and SIS have advanced disease spread prediction and resource optimization. Drawing from multidisciplinary research, the review underscores the potential of AI in anticipating and mitigating health crises while addressing ethical challenges and data privacy concerns. This comprehensive assessment offers valuable insights for future applications of AI in global health initiatives and pandemic preparedness.

In recent years, the advancement of multimodal large language models (MLLMs) has increasingly demonstrated their potential in medical data mining. However, the diversity and heterogeneity nature of medical images and radiology reports can pose significant challenges to the universality of data mining methods.

To address these challenges, a team led by Dr. Xin Zhang from the Institute of Medical Research, Northwestern Polytechnical University in Xi’an, China, systematically evaluated the performance of Gemini and GPT-series models across various medical tasks. Their findings validate the application potential of multimodal large models in the medical domain.