Add BrightSurf on Google Email

Science News for February 16, 2025


Computer vision enhances the potential of ultrabroadband imaging in non-destructive testing

Researchers developed a synergetic strategy combining millimeter-wave-terahertz-infrared photo-monitoring and computer-vision three-dimensional modeling for ubiquitous non-destructive inspections. The approach allows for material composition identifications and structural reconstructions of composite multi-layered objects.

SourceChuo University·JournalAdvanced Materials Technologies·TypeExperimental study·DateFeb 16, 2025

Opportunistic car recalls could damage brands

Research from Edith Cowan University found that opportunistic recalls, where dealerships try to upsell during the process, lead to negative brand personality and protest behavior. However, protests can paradoxically strengthen customer loyalty if companies effectively manage the recall issue and engage with customers.

SourceEdith Cowan University·JournalJournal of Retailing and Consumer Services·TypeSurvey·DateFeb 16, 2025

Ushering in the era of a 1,000-km driving range for electric vehicles! DGIST has successfully developed high-capacity high-safety anode materials

Researchers at DGIST have developed high-capacity, high-safety anode materials that can significantly increase the driving range of electric vehicles. By setting a high initial activation charging voltage, they prevented nano-cracks and structural collapse, leading to improved battery performance and safety.

Low-cost and efficient consistency with adaptive synchronization for metadata replication

A new consistency framework with adaptive synchronization is proposed to improve metadata operation performance and scalability. The framework decoupled directory from file metadata and uses different synchronization methods for directory trees and file metadata, enabling fine-grained tracking of access conflict status.

SourceHigher Education Press·JournalFrontiers of Computer Science·TypeExperimental study·DateFeb 16, 2025

ChromTR: Chromosome detection in raw metaphase cell images via deformable transformers

ChromTR leverages semantic feature learning and class distribution learning to automate chromosome detection in raw metaphase cell images. The framework demonstrates superior performance compared to existing methods on R-band and G-band datasets, showcasing improvements in mean average precision, precision, recall, and error reduction.

SourceHigher Education Press·JournalFrontiers of Medicine·TypeExperimental study·DateFeb 16, 2025

Simple solutions for hydrogen production to plastic recycling using sugar-derived components and supramolecular technology

Researchers from DGIST develop a catalytic technology that effectively removes additives hindering plastic recycling, using sugar-derived cyclodextrin. This breakthrough provides an alternative to complex processes and suggests expandability into environmental remediation.

SourceDGIST (Daegu Gyeongbuk Institute of Science and Technology)·JournalChemical Engineering Journal·DateFeb 16, 2025