Pusan National University researchers develop model to accurately predict vessel turnaround time
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Jan-2026 01:11 ET (3-Jan-2026 06:11 GMT/UTC)
Growing port congestion demands smarter management. In a new study, researchers developed a dynamic forecasting framework using real-time operation indicators from a two-stage queuing model to predict vessel turnaround time. Tested with data from Busan Port, the model achieved up to 28% higher accuracy than traditional methods. By improving berth planning and resource allocation, this approach can significantly enhance efficiency and reduce delays in global port operations.
A novel magnetic material with an extraordinary electronic structure might allow for the production of smaller and more efficient computer chips in the future: the p-wave magnet. Researchers from Karlsruhe Institute of Technology (KIT) were involved in its development. The magnetic behavior in the interior of this material results from the way the electron spins arrange themselves – in the shape of a helix. Therefore, the electric current flowing through is deflected laterally. The results are published in the Nature journal.
Researchers have successfully grown platinum crystals in liquid metal, using a powerful X-ray technique giving rare insight into how these delicate crystals form and grow.
PopEVE can identify genetic variants most likely to cause severe disease, death
Held on 8 May 2025, the 10th UN Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals side event, titled “One Health for All: Synergistic Solutions Advancing SDG3 through Sustainable Science & Inclusive Innovation”, convened global experts to explore integrated strategies for advancing human, animal, and environmental health within the 2030 Agenda. The event highlighted innovations like artificial intelligence (AI)-driven surveillance and low-carbon diagnostics, emphasizing equity and Sustainable Development Goals (SDGs) acceleration. One milestone was the launch of an expert consensus promoting the global One Health index (GOHI), a roadmap to align research and experimental development (R&D) with SDG3 targets. Discussions centered on three key issues covering: the One Health approach for SDGs, the role of GOHI as a scientific tool addressing data fragmentation and capacity disparities, and GOHI's potential to enhance cross-sectoral governance, exemplified by case studies from Japan, Cambodia, and Singapore. A consensus emerged to promote GOHI at the sub-national level, recognizing its value as a comprehensive, structured framework offering practical tools, data transformation capabilities, economic analysis, and global knowledge sharing, despite implementation challenges. Six actionable recommendations were proposed, focusing on strengthening institutional coordination, bridging data gaps, integrating GOHI into governance, piloting localized interventions, mobilizing funding, and building capacity through global partnerships. The event marked a significant step forward, positioning the One Health framework, facilitated by tools like GOHI, as essential for achieving the SDGs and ensuring a healthier, more sustainable future for all.