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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 ,

Learning to help the adaptive immune system


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IMAGE: Researchers at The University of Tokyo use the mathematics of adaptive learning and artificial intelligence to describe how T helper cells adjust the response of the vertebrate immune system, which.
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Credit: Institute of Industrial Science, the University of Tokyo
Tokyo, Japan - Scientists from the Institute of Industrial Science at The University of Tokyo demonstrated how the adaptive immune system uses a method similar to reinforcement learning to control the immune reaction to repeat infections. This work may lead to significant improvements in vaccine development and interventions to boost the immune system.
In the human body, the adaptive immune system fights germs by remembering previous infections so it can respond quickly if the same pathogens return. This complex process depends on the cooperation of many cell types. Among these are T helpers, which assist by coordinating the response of other parts of the immune syst ....

Tetsuya Kobayashi , Takuya Kato , University Of Tokyo , Institute Of Industrial Science , Industrial Science , Physical Review Research , Adaptive Immune System , Reinforcement Learning , Technology Engineering Computer Science , Biomedical Environmental Chemical Engineering , Computer Science , Software Engineering , Theory Design , Industrial Engineering Chemistry , Nanotechnology Micromachines , Research Development , Robotry Artificial Intelligence , பல்கலைக்கழகம் ஆஃப் டோக்கியோ , நிறுவனம் ஆஃப் தொழில்துறை அறிவியல் , தொழில்துறை அறிவியல் , உடல் விமர்சனம் ஆராய்ச்சி , மாற்றி அமைக்கத்தக்க நோய் எதிர்ப்பு சக்தி அமைப்பு , வலுவூட்டல் கற்றல் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , உயிர் மருத்துவ சுற்றுச்சூழல் இரசாயன பொறியியல் , உயிரி தொழில்நுட்பவியல் ,

With gene therapy, scientists develop opioid-free solution for chronic pain


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A gene therapy for chronic pain could offer a safer, non-addictive alternative to opioids. Researchers at the University of California San Diego developed the new therapy, which works by temporarily repressing a gene involved in sensing pain. It increased pain tolerance in mice, lowered their sensitivity to pain and provided months of pain relief without causing numbness.
The researchers report their findings in a paper published Mar. 10 in
Science Translational Medicine.
The gene therapy could be used to treat a broad range of chronic pain conditions, from lower back pain to rare neuropathic pain disorders conditions for which opioid painkillers are the current standard of care. ....

San Diego , United States , University Of California San Diego , Robertf Hevner , Daniella Mcdonald , Tony Yaksh , Amir Dailamy , Fernando Alem , Saraha Woller , Jonathan Palmer , Amandaj Robers , Glaucilenef Catroli , Matthew Hunt , Ian Dryden , National Institutes Of Health , Uc San Diego Jacobs School Of Engineering , Uc San Diego School Of Medicine , California San Diego , Science Translational , Dana Moreno , Diego Jacobs School , Prashant Mali , Navega Therapeutics , Diego School , Andrew Pla , Udit Parekh ,