SIMPO: A simplified intelligent modelling platform online for code-free and shareable wastewater treatment process modelling
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Jan-2026 13:11 ET (16-Jan-2026 18:11 GMT/UTC)
The CNN model achieved the highest genomic prediction accuracy for swine traits when using SNP sets comprising 1,000 markers. A novel one-hot encoding strategy representing 16 genotypes with eight binary variables significantly outperformed traditional encoding methods in CNN-based prediction. The improved CNN framework offers a powerful tool for enhancing genomic prediction accuracy, providing valuable support for data-driven swine breeding programs.
Thin-walled parts are vital in aerospace and high-performance manufacturing, but their weak stiffness makes them prone to damaging vibrations during milling.
A new review highlights the latest strategies for suppressing chatter vibrations, including passive, active, and semi-active techniques. It brings together progress from materials science, mechanical engineering, control systems, and digital manufacturing, while also outlining what is still needed to achieve stable, efficient, and high-quality machining in real industrial settings.
Build a comprehensive medical data ecosystem framework that spans the entire data lifecycle and offers a new perspective for advancing practice in the field.
Provide practical tools for multi-stakeholders by organizing applicable technologies, referenced international standards, and representative deliverables to accelerate implementation.
Identify the core tasks across three key domains—technological innovation, institutional reform, and ethical governance—to maximize the potential of medical data.
Francisella tularensis is a highly infectious bacterium, a Tier 1-select agent on the US Federal Select Agent Program, and the causative agent of tularemia, a potentially fatal zoonotic disease.