Global spread of tigecycline-resistant bacteria: a growing public health concern
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Jun-2026 14:16 ET (10-Jun-2026 18:16 GMT/UTC)
A new study published in Engineering reveals the global spread of tmexCD1-toprJ1-positive Klebsiella pneumoniae, highlighting its multidrug resistance and transmission across ecological niches. The research underscores the urgent need for antimicrobial stewardship and continuous monitoring to combat this emerging public health threat.
Discover how new resilience models are revolutionizing post-earthquake tunnel recovery. A groundbreaking study in Engineering presents probabilistic approaches to quantify tunnel restoration, offering critical insights for infrastructure operators and city planners to optimize repair strategies and enhance urban resilience.
Discover how satellite communication systems are set to transform global connectivity in 5G and 6G networks. A new study explores the integration of satellites with terrestrial networks, addressing key challenges and future directions to achieve seamless, worldwide coverage. Learn about the advancements driving this convergence and the role of international standards in shaping the future of communication.
Discover the future of satellite technology with space computing power networks (Space-CPN). This innovative architecture integrates communication and computation across low-Earth-orbit (LEO), medium-Earth-orbit (MEO), and geostationary-Earth-orbit (GEO) satellites, addressing challenges in data transmission, onboard processing, and resource allocation. Learn how Space-CPN can transform global connectivity and intelligent data processing in space.
Discover how integrating spatiotemporal resilience into unmanned systems can enhance their adaptability and performance. A new study in Engineering explores this concept, offering insights on optimizing UAV and UV deployment to boost mission success in dynamic environments.
The electrochemical oxidation of glycerol (GOR) is gaining traction as a sustainable method to convert biodiesel byproducts into valuable chemicals and fuels, aligning with global demands for renewable energy and green production. Recent advances in catalyst design, reaction mechanisms, and system integration are driving progress, though challenges in selectivity, stability, and scalability remain pivotal for industrial adoption. Researchers are tuning both noble and non-noble metal catalysts—through methods such as facet engineering and single-atom doping—to selectively steer reactions toward high-value multi-carbon products. Furthermore, coupling GOR with cathodic processes like hydrogen evolution or CO2 reduction offers a path to lower energy use and co-produce clean fuels. Key hurdles, including mass transfer limits and feedstock compatibility, still need addressing. Proposed solutions range from advanced electrode assemblies to integrated techno-economic assessments. Moving forward, a system-level approach that balances technical performance with economic viability will be essential to accelerate GOR technology toward real-world application.
Digital twin (DT) technology is emerging as a core solution for future marine development and intelligent ocean management. The review systematically reviews digital twin applications in the marine field, clarifies its concept, proposes a five-layer framework, and summarizes key technologies, including sensing, data management, modeling, simulation, and monitoring. It highlights DT’s ability to synchronize physical marine systems with virtual models in real time, enabling simulation, prediction, optimization, and decision-making. The authors further outline challenges and development prospects, showing how DT can support deep-sea resource exploitation, offshore wind energy, marine engineering, vessel autonomy, environmental monitoring, and system reliability assessment.
Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their massive size and computational cost limit real-world deployment. This research systematically examines how multimodal models can be made more efficient without severely sacrificing performance. By analyzing lightweight architectures, visual token compression strategies, efficient training methods, and compact language backbones, the study maps out the technical pathways that reduce memory demand and inference cost. The work highlights how efficiency-focused design enables multimodal intelligence to move beyond cloud-based systems toward broader, more accessible applications, including mobile devices and edge computing environments.
Underwater wireless power transfer is emerging as a key technology for enabling long-duration, maintenance-free operation of autonomous underwater vehicles (AUVs). This review provides the most comprehensive overview to date of magnetic-coupling-based underwater wireless charging, addressing challenges such as eddy current losses in seawater, misalignment caused by ocean dynamics, and the growing need for simultaneous transfer of power and data. By comparing transmitter–receiver coil structures, compensation networks, and control strategies, the research identifies design pathways that significantly enhance efficiency, stability, and tolerance to dynamic marine conditions. The work also highlights emerging simultaneous wireless power and data transfer (SWPDT) methods that could reshape the future of marine sensing and robotic operations.