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Tracking cosmic ghosts

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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.
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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. ....

United States , James Madson , Monte Carlo , Niall Gaffney , Sheldon Glashow , Benedickt Riedel , Texas Advanced Computing Center , Amazon Web Services , National Science Foundation , Wisconsin Icecube Particle Astrophysics Center , Large Scale Community Partnership , Icecube Neutrino Observatory , Important New Tool , Multi Messenger Astronomy , Amundsen Scott South Pole Station , Wisconsin Icecube Particle Astrophysics , Cube Discovers Evidence , High Energy Electron , Standard Model , Open Science Grid , Extreme Science , Engineering Discovery Environment , Data Intensive , Algorithms Models , Calculations Problem Solving , Space Planetary Science ,

Successful trial shows way forward on quieter drone propellers

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. ....

Woutijn Baars , Abdulghani Mohamed , Simon Watkins , Geoff Durham , Robert Carrese , Aerospace Research Central , Aerospace Engineering , Industrial Research Organisation , Commonwealth Scientific , Professor Simon Watkins , Professor Pier , Liam Bullard , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Robotry Artificial Intelligence , சிமோன் வாட்கின்ஸ் , ஜியோஃப் டர்ஹாம் , விண்வெளி ஆராய்ச்சி மைய , விண்வெளி பொறியியல் , தொழில்துறை ஆராய்ச்சி ஆர்கநைஸேஶந் , காமன்வெல்த் அறிவியல் , ப்ரொஃபெஸர் சிமோன் வாட்கின்ஸ் , ப்ரொஃபெஸர் கப்பல் , லியாம் புல்லார்ட் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் ,

Danish computer scientist has developed a superb algorithm for findin

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. ....

Aaron Bernstein , Maximillian Probst Gutenberg , Christian Wulff Nilsen , University Of Copenhagen Department Computer Science , University Of Copenhagen , Rutgers University , Department Of Computer Science Ph , Computer Science , Associate Professor , Optimal Decremental , Dense Weighted , Computer Science Phd , Decremental Single Source Shortest Path , Mathematics Statistics , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Software Engineering , Theory Design , Research Development , Robotry Artificial Intelligence , ஆரோன் பெர்ன்ஸ்டீன் , மாக்ஸிமிலியன் ப்ரோப்ஸ்த் குட்டன்பெர்க் , கிறிஸ்துவர் வுல்ஃப் நில்சன் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் ,

UConn researcher finds 'Goldilocks problem' in child welfare decision-making

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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. ....

Megan Feely , Rutgers University School Of Social Work , Uconn School Of Social Work , Social Work , Social Service Review , Emily Bosk , Rutgers University School , Structured Decision Making Model , Risk Assessment , Calculations Problem Solving , Public Health , Social Behavioral Science , Mental Health , Parenting Child Care Family , மேகன் கட்டணம் , ரட்ஜர்ஸ் பல்கலைக்கழகம் பள்ளி ஆஃப் சமூக வேலை , உக்கொண்ங் பள்ளி ஆஃப் சமூக வேலை , சமூக வேலை , சமூக சேவை விமர்சனம் , ரட்ஜர்ஸ் பல்கலைக்கழகம் பள்ளி , கட்டமைக்கப்பட்ட முடிவு தயாரித்தல் மாதிரி , ஆபத்து மதிப்பீடு , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் , பொது ஆரோக்கியம் , சமூக நடத்தை அறிவியல் , மன ஆரோக்கியம் ,

Bridge built between Kähler-Einstein and Chen-Ning Yang's Equations

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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. ....

Shing Tung Yau , Inventiones Mathematicae , National Academy Of Sciences , Institute Of Geometry , Physics Of The University Science , Technology Of China , National Academy , Mathematics Statistics , Calculations Problem Solving , ஷிங் துங் யா , தேசிய கலைக்கழகம் ஆஃப் அறிவியல் , நிறுவனம் ஆஃப் வடிவியல் , இயற்பியல் ஆஃப் தி பல்கலைக்கழகம் அறிவியல் , தொழில்நுட்பம் ஆஃப் சீனா , தேசிய கலைக்கழகம் , கணிதம் புள்ளிவிவரங்கள் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் ,