Researchers created a simulation of a deep-sea sponge and how it responds to and influences the flow of water. The work revealed a profound connection between the sponge's structure and function, shedding light on both the basket sponge's ability to withstand the dynamic forces of the surrounding ocean and its ability to create a vortex within the body cavity "basket." These properties may help for the design of ships, planes and skyscrapers of the future.
A content recommendation system based on the user's brain model would be ideal for targeted advertising. Creating such a brain model, however, is computationally expensive. In a new study, researchers from Japan propose and validate a machine learning scheme to infer a user's brain model from their profile with high accuracy while optimizing the information collection cost using a feature selection technique, providing hope for its real-world application following further optimizations.
Implementing algorithms that can simultaneously track multiple objects is essential to unlock many applications, from autonomous driving to advanced public surveillance. However, it is difficult for computers to discriminate between detected objects based on their appearance. Now, researchers at the Gwangju Institute of Science and Technology (GIST) adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
Tsukuba University researchers develop a scheduling algorithm that helps automated biology labs optimize their samples throughout experiments while adhering to time constraints set by perishable materials. This work may help robots more effectively process cellular assays and clinical blood tests.
According to the World Health Organization, a third wave of COVID infections is now all but inevitable in Europe. A COVID tracker developed by IIASA researcher Asjad Naqvi, aims to identify, collect, and collate various official regional datasets for European countries, while also combining and homogenizing the data to help researchers and policymakers explore how the virus spreads.
Astronomers see many periodic emissions from space, typically caused by rotation of stars and often very regular. UC Berkeley astrophysicists noticed a unique periodicity in the soft gamma ray emissions from a magnetar located in our galaxy. The soft gamma repeater SGR1935+2154 appears to emit bursts only within regularly spaced windows, and is inactive in between. Based on their analysis, they predicted a resumption of bursts last month; so far, a dozen have been detected.
What connection could possibly exist between the stripes on tropical fish and crystal growth? The answer is the way in which order emerges from randomness through Turing patterns, according to what a research team led by Dr. Fuseya of the University of Electro-Communications, Japan, has recently found. After analyzing a mysterious striped pattern, they observed while trying to grow a monoatomic layer of bismuth, they showed that Turing patterns also exist at the nanoscale.
Researchers from the National University of Singapore have come up with two new ways to protect quantum communications from attacks - the first is an ultra-secure cryptography protocol, and the other is a first-of-its-kind quantum power limiter device. These two approaches hold promise to ensure information systems used for critical services, such as banking and healthcare, can hold up any potential future attacks.
Scientists in Singapore are calling for revisions in planned hydropower expansions in light of the rapidly decreasing cost of solar photovoltaic systems.
Researchers have devised a way to multiply by more than ten-fold the accessible details of gene activity in individual cells. It's a big leap in the effort to understand cancer development, brain function, immunity and other biological processes driven by the complex interactions of multitudes of different cell types. Study publishes in Nature Biotechnology.