Tech & Engineering
Updates every hour. Last Updated: 23-Nov-2025 19:11 ET (24-Nov-2025 00:11 GMT/UTC)
Pediatric investigation study links dietary preferences to childhood asthma in Shanghai
Pediatric InvestigationPeer-Reviewed Publication
A large cross-sectional study of 8,412 first-grade children in Shanghai, led by Southeast University researchers, found that dietary preferences may influence asthma risk. Children who favored pickled and smoked foods were nearly twice as likely to develop asthma, and girls preferring fried foods showed a particularly strong association. Conversely, seafood preference in normal-weight children was linked to reduced asthma risk. The findings highlight diet as a potential target for childhood asthma prevention strategies.
- Journal
- Pediatric Investigation
Machine learning sharpens earthquake risk assessment maps for Tokyo
Shibaura Institute of TechnologyPeer-Reviewed Publication
Tokyo faces severe risks due to soil liquefaction, a phenomenon where the ground behaves like a liquid during strong seismic events. To improve existing hazard maps, researchers from Japan developed a new framework that combines extensive borehole data with artificial neural networks. Their model can accurately predict soil properties, producing high-resolution 3D liquefaction hazard maps, helping to improve earthquake risk management in Tokyo and other vulnerable megacities.
- Journal
- Results in Engineering
Breakthrough in 3D printing glass — without glue
The Hebrew University of JerusalemPeer-Reviewed Publication
The Hebrew University team has developed the first binder-free method for 3D printing glass, using light to trigger a chemical reaction that directly forms silica structures without the need for organic additives or extreme heat. This breakthrough makes glass printing faster, cleaner, and more precise, with potential to revolutionize fields from optics to medicine by enabling custom, high-performance glass components that were previously impossible to manufacture.
- Journal
- Materials Today
MIT joins giant Magellan telescope international consortium
GMTO CorporationBusiness Announcement
AR and AI automatically diagnose agromyzid leafminer damage levels
KeAi Communications Co., Ltd.Peer-Reviewed Publication
An automatic diagnosis system based on wearable augmented reality (AR) glasses and an artificial intelligence (AI)model was developed to assess leafminer damage levels, and it achieved 92.38% accuracy. The DeepLab-Leafminer model incorporated an edge-aware module and the Canny loss function into the DeepLabv3+ model, which enhanced its ability to segment the leafminer damaged area in leaves.A mobile application and a web platform were developed to display the diagnostic results of leafminer damage levels for surveyors to guide their scientific decisions for leafminer prevention and control.
- Journal
- Journal of Integrative Agriculture
- Funder
- National Key Research and Development Program of China, National Key Research Program of China, “San Nong Jiu Fang” Sciences and Technologies Cooperation Project of Zhejiang Province, China
Turning cracks into treasures: Clever use of crack structures to create highly efficient solar-powered water treatment systems
Science China PressPeer-Reviewed Publication
Solar-driven interfacial desalination has long faced challenges such as huge heat loss, relatively low efficiency, and easy coating shedding. Now, Wang Zhenxing's team from Nanchang University has successfully developed a new type of bionic cracked metal phenolic coating inspired by crocodile skin and plant veins. The unique crack structure enables ultra-thin water layer transport and compression resistance, with a high evaporation rate of 3.2 kg m-2 h-1 and efficient photocatalytic degradation of pollutants. The results, published in Science Bulletin, provide a breakthrough solution to the global freshwater crisis.
- Journal
- Science Bulletin