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IMAGE: A visualization of the Glashow event recorded by the IceCube detector. Each colored circle shows an IceCube sensor that was triggered by the event; red circles indicate sensors triggered earlier. view more
Credit: IceCube Collaboration
The idea was so far-fetched it seemed like science fiction: create an observatory out of a one cubic kilometer block of ice in Antarctica to track ghostly particles called neutrinos that pass through the Earth. But speaking to Benedickt Riedel, global computing manager at the IceCube Neutrino Observatory, it makes perfect sense. Constructing a comparable observatory anywhere else would be astronomically expensive, Riedel explained. Antarctica ice is a great optical material and allows us to sense neutrinos as nowhere else.
Credit: RMIT University
Researchers have published a study revealing their successful approach to designing much quieter propellers.
The Australian research team used machine learning to design their propellers, then 3D printed several of the most promising prototypes for experimental acoustic testing at the Commonwealth Scientific and Industrial Research Organisation s specialised echo-free chamber.
Results now published in
Aerospace Research Central show the prototypes made around 15dB less noise than commercially available propellers, validating the team s design methodology.
RMIT University aerospace engineer and lead researcher Dr Abdulghani Mohamed said the impressive results were enabled by two key innovations - the numerical algorithms developed to design the propellers and their consideration of how noise is perceived in the human ear - as part of the testing.
Credit: University of Copenhagen
One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network whether this be a road network or the internet. For 40 years, an algorithm has been sought to provide an optimal solution to this problem. Now, computer scientist Christian Wulff-Nilsen of the University of Copenhagen and two research colleagues have come up with a recipe.
When heading somewhere new, most of us leave it to computer algorithms to help us find the best route, whether by using a car s GPS, or public transport and map apps on their phone. Still, there are times when a proposed route doesn t quite align with reality. This is because road networks, public transportation networks and other networks aren t static. The best route can suddenly be the slowest, e.g. because a queue has formed due to roadworks or an accident.
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How could this have happened?
What went wrong?
What do we do to make sure it never happens again?
When a family becomes erroneously or unnecessarily enmeshed in the child welfare system, that burden is largely invisible - a burden borne mostly by the family itself.
In both situations, the fault for the systemic failure is often placed on the caseworker - overburdened, under-resourced, and forced to make quick and critical judgments about the risk of harm or neglect to children.
But, according to new study coauthored by a researcher in the UConn School of Social Work, a major tool used in child welfare decision-making - and the way agencies try to implement it - may be part of the problem.
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Recently, Prof. CHEN Gao from Institute of Geometry and Physics of the University of Science and Technology of China has made breakthrough in the field of complex differential geometry. Using mathematical invention, he buildt a new bridge between the relativity of Einstein and quantum mechanics. This work was published in
Inventiones Mathematicae.
In the field of complex differential geometry, there are two crucial physical equations: the Hermitian-Yang-Mills equation, which became the standard model of quantum mechanics, and the Kähler-Einstein equation, which is closely related to relativity. To stably solve these two equations has been at the core of complex differential geometry.