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Researchers capture moving object with ghost imaging

Ghost imaging allows forming images with lower light levels but has been limited to stationary objects due to blurring from movement. Researchers developed a new method combining blurry image information with object location data to capture high-quality images of moving objects using ghost imaging.

SourceOptica·JournalOptics Letters·DateNov 13, 2019

Dartmouth engineers develop new way to know liars' intent

Researchers at Thayer School of Engineering at Dartmouth have developed an approach for detecting a speaker's intent to mislead, which could be used to extract opinion from 'fake news.' The framework uses universal features of deceptive reasoning and has been shown to outperform models based on verbal changes and personal differences.

SourceThayer School of Engineering at Dartmouth·JournalJournal of Experimental & Theoretical Artificial Intelligence·DateNov 1, 2019

Photosynthesis olympics: can the best wheat varieties be even better?

Researchers conducted a 'Photosynthesis Olympics' study to identify the most efficient wheat varieties, finding that top performers were up to 90% better than worst ones due to genetic differences. The results have significant implications for breeders and farmers, offering potential for improved yields with reduced inputs.

SourceARC Centre of Excellence for Translational Photosynthesis·JournalJournal of Experimental Botany·DateOct 17, 2019

Sorting out who needs a pill sorter

A new study has found that pharmacies are giving out twice as many pill organisers as ten years ago, which can cause harm to some patients. The research team developed guidelines for healthcare teams to identify patients who may benefit from using a pill organiser or alternative solutions.

SourceUniversity of East Anglia·JournalResearch in Social and Administrative Pharmacy·DateAug 7, 2019

Development of flexible sensors mimicking human finger skin by DGIST

Researchers at DGIST developed flexible sensors that can detect pressure and vibration similar to human skin, with more sensitive detections. The sensors mimic 'Slow Adaptive' and 'Fast Adaptive' receptors, enabling accurate classification of fabric roughness and potential applications in artificial skin grafting and VR experiences.

Manufacture of light-activated proteins

A new strategy for designing light-sensitive proteins has been developed by researchers at Ruhr-Universität Bochum. They combined computer-aided and experimental methods to create a more targeted approach, enabling the manipulation of protein building blocks without impairing function.

SourceRuhr-University Bochum·JournalChemBioChem·DateAug 2, 2019

AI radar system that can spot miniature drones 3 kilometers away

A new AI radar system developed by DGIST can detect subminiature drones flying as far as 3km away, thanks to the use of super-resolution algorithm and AESA radar signal processing technology. The system also integrates GANs-based drone cognition technology for real-time detection and identification.

SourceDGIST (Daegu Gyeongbuk Institute of Science and Technology)·JournalIEEE Geoscience and Remote Sensing Letters·DateJul 17, 2019

An innovative method for detecting defaulting participants based on sparse reconstruction

Researchers have developed a novel method to detect defaulting participants in contract-based demand response programs by leveraging sparse reconstruction. By analyzing limited data from smart meters and applying an iterative improvement technique, the proposed method enables accurate detection of failure sources with minimal inspections.

SourceJapan Science and Technology Agency·JournalIEEE Transactions on Smart Grid·DateJul 1, 2019