A research team has found that spraying harvested blueberries with melatonin helps them stay firm during storage.

Researchers from Wuhan University have developed a new Uncertainty-Aware Filtering (UAF) algorithm that significantly enhances spacecraft autonomous navigation in deep-space environments characterized by weak gravity, strong perturbations, and limited prior knowledge, which is published in the Chinese Journal of Aeronautics (https://doi.org/10.1016/j.cja.2025.103971). The method shows clear advantages over conventional Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) approaches and has been validated using simulations of China’s Tianwen-2 mission to asteroid 311P/PANSTARRS.

Quantum computing offers a promising pathway for accelerating large-scale scientific simulations, but applying it to computational fluid dynamics remains difficult. A new quantum TLFS-LBM framework reported in the Chinese Journal of Aeronautics (https://doi.org/10.1016/j.cja.2026.104176) introduces a fractional-step correction, a coordinate-based streaming matrix, and a multi-circuit strategy to enable practical incompressible-flow simulations on non-uniform meshes and complex boundaries while reducing quantum-circuit resource demands.

Small target detection and tracking in UAV remote sensing images are key tasks in fields such as security patrols and traffic monitoring. Recently, a framework called the Cropped Target Detection and Tracking Framework, through cropping and random sampling strategies, significantly improves real-time performance while ensuring small target positioning accuracy and tracking robustness, which is published in the Chinese Journal of Aeronautics.

This study aims to develop a medical “dry laboratory” model that treats healthcare data as the primary research subject and employs computational science and AI as core methodologies. Based on the practice of a large tertiary hospital, we present a construction framework featuring a full-cycle model spanning data cultivation, governance, value extraction, and ecological feedback—transforming medical data from a static resource into a living asset. Innovatively, the “dry laboratory” was integrated into the residency training rotation to systematically cultivate data literacy. Practice has shown that the framework establishes the “dry laboratory” as a digital research entity, creating a closed-loop system that integrates clinical practice with data analytics, significantly enhancing the usability of multimodal data and enabling scalable training in data competence. In conclusion, the medical “dry laboratory” represents a new digital research paradigm distinct from traditional wet laboratories. Its implementation provides a reference framework and introduces an integrated “dry-wet” research model combining wet-lab experiments with data cultivation, demonstrating significant value for enhancing medical innovation, cultivating interdisciplinary talent, and advancing smart healthcare.

The high-entropy ferroelectric fillers/polymer nanocomposites achieve ultra-high U_dis values of 8.7 J cm^-3 at 150 °C and 5.9 J cm^-3 at 200 °C, while maintaining an η of over 90%.