News by Subject Technology & Engineering

ORNL Story Tips: Pandemic impact, root studies, neutrons confirm, lab on a crystal and modeling fusion.

In efforts to automatically capture important data from scientific papers, computer scientists at the National Institute of Standards and Technology (NIST) have developed a method that can accurately detect small, geometric objects such as triangles within dense, low-quality plots contained in image data. Employing a neural network approach designed to detect patterns, the NIST model has many possible applications in modern life.

Smart home technologies are marketed to enhance your home and make life easier. However, UK consumers are not convinced that they can trust the privacy and security of these technologies, a study by WMG, University of Warwick has shown.

Researchers have correlated information on drugs, genes and diseases to identify potential candidates for psychiatric and neurological treatment. The methodology they developed will be used to search for drugs against COVID-19.

Whether in flood early-warning systems or in agriculture - rainfall measurements are of great importance. However, there is a lack of accurate data for many regions in the world due to the fact that comprehensive measurements have so far been too expensive. Researchers at Karlsruhe Institute of Technology and the University of Augsburg have now succeeded in utilizing the commercial microwave link network operated by mobile network providers for Germany-wide rainfall measurements.

A small device, called "Smart Stirrer", performed a function of a conventional laboratory stir bar, has an integrated microprocessor and various sensors capable of wireless and autonomous report the conversion of properties of a solution. Results are sent to a computer over Bluetooth, and any changes notify the user wirelessly.