Bio-inspired wind sensing using strain sensors on flexible wings could revolutionize robotic flight control strategy. Researchers at Institute of Science Tokyo have developed a method to detect wind direction with 99% accuracy using seven strain gauges on the flapping wing and a convolutional neural network model. This breakthrough, inspired by natural strain receptors in birds and insects, opens up new possibilities for improving the control and adaptability of flapping-wing aerial robots in varying wind conditions.

Researchers from Fudan University have developed an innovative glycopeptide enrichment strategy, offering a rapid and efficient tool for comprehensively profiling of glycosylation types, including N-glycosylation, O-GlcNAcylation, and O-GalNAcylation. This efficient method minimizes sample input and simplifies workflows, providing a powerful tool for studying glycosylation’s roles in biology and disease.

Recently, a research team led by Professor Shuxiao Wang from the School of Environment at Tsinghua University integrated a comprehensive global natural archive database of mercury (Hg) accumulation with modelled global atmospheric Hg deposition data. This integration revealed how global ecosystems respond to changes in atmospheric Hg input. The findings of this research were published in the National Science Review.

Quantum technology jointly developed at Nanyang Technological University, Singapore (NTU Singapore) and the National University of Singapore (NUS) has now been spun off into a new deep tech startup, AQSolotl.

 

The startup’s flagship product, CHRONOS-Q, is a quantum controller that acts as a translator between conventional computing systems and quantum computers.

 

Developed by university researchers affiliated with Singapore’s Centre for Quantum Technologies (CQT), it enables users to control quantum computers easily and efficiently using their laptops and desktop computers.

 

Unlike traditional computers that operate on a binary system of 1s and 0s, quantum computers utilise the principles of quantum mechanics to achieve vastly superior computational capabilities.

 

Quantum computers will solve problems once considered unsolvable by conventional computers, opening new possibilities in fields like cryptography, advanced simulations and AI. They are theorised to be many thousands of times more powerful than today’s fastest silicon processors for some complex computational tasks.

 

The proprietary quantum controller technology, developed and refined over three years, is currently being piloted at CQT as part of the hardware setup for the National Quantum Computing Hub and NTU’s Nanyang Quantum Hub.

A research team from the Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology has developed an explainable AI method to observe the splashing drops of different liquids while impacting a solid surface. This achievement provides important insights into the phenomenon of splash, which is important for various applications, such as aeronautics, biology, chemical and mechanical engineering, materials, acoustics, and combustion.

Can we examine the teeth of living fish and other vertebrates in detail, repeatedly over time, without harming them? 

Previously, small animals often had to be euthanized to obtain precise information, but now scientists have found a new way to humanely study detailed dental characteristics of vertebrates. This customizable method can be used for both living animals and museum specimens and has been published in the Journal of Morphology. 

Researchers at the Okinawa Institute of Science and Technology (OIST) and their collaborators applied human dental impression techniques to study fish teeth in a species called Polypterus senegalus. This fish has been separated from other fish species for about 360 million years. Due to this long period of evolutionary isolation, Polypterus still has many primitive characteristics that provide important information on the early development of bony fish.  

The research team led by Dr. Hojeong Jeon and Dr. Hyung-Seop Han of the Biomaterials Research Center at the Korea Institute of Science and Technology (KIST), along with Dr. Indong Jun from KIST Europe, has developed a novel stent surface treatment technology using laser patterning.