According to Future Market Insights (FMI), the global Cast Acrylic Sheets Market is projected to expand from an estimated USD ...

Abstract: Terahertz band is identified as the frequency band for the next generation of high-speed data links. The increase in data rates has resulted in a capacity bottleneck for wired high-speed ...

Qflow study reveals 91% of delivery documentation fails basic quality checks, undermining carbon reporting, safety compliance and project budgets A new report from construction data platform Qflow has ...

Toyota Material Handling, a Columbus, Indiana-based material handling manufacturer and solutions provider, has announced it will support the 12 th-annual National Forklift Safety Day June 10 in ...

Twenty years ago, the Occupational Safety & Health Administration began requiring companies that manufacture or market hazardous chemicals to prepare and issue material safety data sheets (MSDSs).

Machine learning method developed by IISc and UCL researchers uses transfer learning to predict material properties, paving the way for advanced semiconductors and energy storage solutions. Workflow ...

Researchers at the Indian Institute of Science (IISc), in collaboration with University College London, have devised a machine learning (ML) approach to predict material properties using limited data.

Abstract: With the continuous expansion of the construction scale of power grid projects, the turnover and backlog of materials are constantly increasing. In addition, the maintenance and emergency ...