In a Perspective article published in MedComm – Future Medicine, a joint team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) explores how the emerging large language model DeepSeek-R1 may accelerate the transformation of healthcare. Highlighting its open-source, low-cost and interpretable capabilities, the study discusses how DeepSeek-R1 can enhance diagnostic efficiency, support clinical decision-making, and improve patient engagement across diverse medical settings.

A universal method of micro-patterning solution-processed materials is highly desired by industry to enable the integration of these materials with optoelectronic devices. A team at the University of Washington demonstrated a dry photolithographic lift-off method for high-resolution patterning (~1 µm diameter) of quantum dots (QDs). They also achieved full-scale processing on a 100 mm wafer and multi-color integration of two different varieties of QDs. This method paves a way towards realization of high-resolution micro-LED displays.

In a review published in SCIENCE CHINA Earth Sciences, researchers from Peking University offered practical suggestions and fresh insights into reconstructing ancient climates. They explored the challenges in understanding Earth's climatic history and described how combining paleoclimate proxies with Earth system models using advanced data assimilation methods can help. The review highlights the promise of these methods to improve research accuracy and guide future studies in paleoclimatology.

The use of Augmented Reality (AR) headsets in industry has been shown to reduce human error. Research collaborative team in Russia presented in-depth analytics for the global experience of AR-headsets in the manufacturing and propose an application-based metric for the product comparison. The review provided a solid foundation for determining specific requirements for AR devices in the industrial sector and identified the most promising technologies, paving the way for future innovation and development.

Almost all of Cu_xS compounds only produce the simple two-electron transferred products CO and HCOOH but it remains a large challenge to obtain the multiple-electron transferred hydrocarbon products in electrocatalytic CO₂ reduction reaction (CO₂RR). Moreover, identifying the distinct contributions of S atoms to catalysis, particularly for catalytic activity and product selectivity in electrocatalytic CO₂RR, remains a challenging task. A research team led by Professor Yuan-Biao Huang at the Fujian Institute of Research on the Structure of Matter, Chinese Academy of Science, has successfully prepared a model catalyst based on a conductive two-dimensional metal-organic framework with defined Cu-S₄ active sites (denoted as Cu₃(THT)₂) for CO₂RR. Their work demonstrates for the first time that non-metallic sulfur centers adjacent to catalytic metal sites can effectively optimize the electronic structure of Cu sites and stabilize key *CO intermediates, thereby modulating product selectivity toward the eight-electron-transferred hydrocarbon CH₄.

Researchers from the State Key Laboratory of Green Pesticide at Guizhou University have discovered how the Cucumber Green Mottle Mosaic Virus (CGMMV) exploits the host protein cytosolic Fructose-1,6-bisphosphatase (FBPase) to form biomolecular condensates (BMCs) through liquid-liquid phase separation (LLPS), thereby facilitating viral replication. The study further indicates that a novel compound, C1, can effectively disrupt this interaction, leading to significant inhibition of CGMMV infection. The relevant research findings have been published in Science Bulletin.

Led by corresponding authors Prof. Runjiang Song and Academician of Chinese Academy of Engineering Baoan Song, the team identified NbFBPase as a key interacting protein of CGMMV’s capsid protein (CP). Mutations in CP residues Tyr18 impaired BMCs formation and reduced viral pathogenicity. Compound C1, a benzo[d]oxazole derivative, specifically targets Tyr18, outperforming existing antiviral agents. Moreover, the researchers found that Tyr18 of CGMMV-CP plays a critical role in regulating photosynthesis-related processes during infection by modulating the expression of genes involved in the Calvin cycle.

This work not only elucidates a key virus-host interaction but also provides a blueprint for designing targeted antiviral drugs.

In the era of the digital economy, the Internet marketing course, a core component of the marketing curriculum in higher education, has become increasingly critical. However, the traditional teaching practices of the course have faced challenges, including insufficient depth in theoretical understanding, limited flexibility in translating theory into practice, inadequate alignment with contemporary trends, and a lack of adaptability to rapidly evolving environments. To address these issues, the teaching team at Wuhan University redesigned the course across five dimensions, including depth, rigor, intensity, breadth, and resilience. Leveraging a “four-in-one” teaching resource system, the course adopted an innovative teaching methodology grounded in the motivation, opportunity, and ability (MOA) framework. This method stimulated students’ intrinsic learning motivation, fostered collaborative creativity, and promoted mutual growth. It empowers students to develop self-management capabilities and establishes a student-centered learning paradigm characterized by shared responsibility, co-creation, and collective ownership. The teaching model ultimately seeks to cultivate high-quality and interdisciplinary talents in online marketing who are equipped with the entrepreneurial, innovative, and creative competencies necessary to meet the demands of the digital economy.

Cultivating talents in robotics requires the integration of multiple disciplines, including mechanical engineering, electronics, computer science, and control engineering. The rapid expansion of the robotics industry in recent years has highlighted a significant talent gap and compelled universities to raise the standards of talent development in this field. This research examines the distinctive features of talent cultivation in robotics, draws on the practices of Wuhan University’s intelligent robotics program, and incorporates the concept of digital-intelligent education to propose an innovative talent cultivation framework termed system reconstruction and a fourfold integration education. This research emphasises the importance of digital-intelligent interdisciplinarity and reports on the establishment of a progressive and comprehensive professional curriculum system. It also presents a supporting model that includes research-activated education, industry-driven education, competition-enhanced education, and interdisciplinary education, thereby creating a project-driven innovation practice platform and talent cultivation mechanism. Guided by systematic reconstruction and a fourfold integration education mechanism, the digital-intelligent interdisciplinary curriculum and project-driven practice platform have significantly improved students’ professional knowledge, innovative ability, and sense of social responsibility. This mechanism has not only improved the quality of talent cultivation in intelligent robotics but has also increased the impact of academic competitions and garnered widespread acclaim from peers.