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NTU study finds Singapore public less keen on drone use in residential areas than industrial zones

A study by NTU Singapore found that the Singapore public is more accepting of drones in industrial zones than residential areas. The research team identified fears and concerns, such as privacy loss and misuse of drones, as key factors influencing public acceptance. To improve acceptance levels, policymakers and regulators should adapt...

SourceNanyang Technological University·JournalTechnology in Society·DateJan 28, 2021

Innovations through hair-thin optical fibres

Researchers at the University of Bonn have created miniaturized optical fiber filters that are color-tunable and extremely compact. These filters have promising applications in quantum technology and sensor development, enabling efficient storage and manipulation of light energy.

SourceUniversity of Bonn·JournalOptics Express·DateJan 20, 2021

Towards Exawatt-class lasers

A new design concept aims to increase laser peak power by compressing pulse duration instead of increasing energy, pushing the record to the Exawatt class. The design uses a two-beam pumped WNOPCPA and carefully optimized phase-matching to avoid pump interference.

SourceOsaka University·JournalScientific Reports·DateJan 11, 2021

Entangling electrons with heat

Researchers from Aalto University have successfully entangled pairs of electrons using temperature differences in superconducting structures. This breakthrough has significant implications for quantum devices and applications, including exponential increases in computational capacity and secure information exchange.

SourceAalto University·JournalNature Communications·DateJan 8, 2021

Carbon capture's next top model

Researchers at the University of Pittsburgh analyzed over 150 studies on hollow fiber membrane contactors, a leading carbon capture technology. They found that 3D models can reveal unique information about the technology, accelerating progress towards commercial use.

SourceUniversity of Pittsburgh·JournalMembranes·DateDec 16, 2020

Semiconductor material analysis made possible with artificial intelligence

Researchers at KIST developed an AI system that estimates magnetic Hamiltonian parameters from spin structure images using deep learning techniques. The system was trained with machine learning algorithms and achieved estimation errors less than 1%, reducing the material parameter estimation process from tens of hours to instant analysis.

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

The article outlines four key paradigm shifts for 6G wireless communication networks: global coverage through non-terrestrial networks, full spectrum exploration for increased data rates, AI-powered smart applications, and enhanced network security. The future of 6G promises faster and more secure communications, blurring the lines bet...

SourceScience China Press·JournalScience China Information Sciences·DateNov 25, 2020

Antimicrobial peptides with anticancer properties

The article reviews antimicrobial peptides (AMPs) with anticancer properties, highlighting their potential use in tumor therapy due to their ability to interact with negatively charged cell membranes. Recent advances and challenges in the application of these peptides are also discussed.

SourceCompuscript Ltd·JournalBIO Integration·DateNov 19, 2020