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Modeling can predict mutation


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IMAGE: Computational modeling shows that mutations on SARS-CoV-2 s spike protein that enhance the virus ability to bind to the ACE2 receptor occur in two clusters or mutation hotspots.
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Credit: Image courtesy of Hin Hark Gan and Kristin Gunsalus, NYU s Department of Biology
SARS-CoV-2 has evolved to acquire mutations on the spike protein the part of the virus that protrudes from its surface and latches onto cells to infect them that enhance the coronavirus ability to bind to human cells or evade antibodies. A new study from the Centers for Genomics and Systems Biology at New York University and NYU Abu Dhabi uses computational modeling to assess the biological significance of spike protein mutations, uncovering versions of the virus that bind more tightly or resist antibodies and offering a promising public health surveillance tool. ....

South Africa , Abu Dhabi , Abuz Aby , United Arab Emirates , Benoit Marchand , Kristinc Gunsalus , Centers For Genomics , Systems Biology At New York University , Abu Dhabi High Performance Computing Group , Systems Biology , New York University , Molecular Biology , Hin Hark Gan , Alan Twaddle , High Performance Computing , Algorithms Models , Medicine Health , Infectious Emerging Diseases , Public Health , Technology Engineering Computer Science , ஒன்றுபட்டது அரபு அமீரகங்கள் , பெனாய்ட் மார்ச்சண்ட் , அமைப்புகள் உயிரியல் இல் புதியது யார்க் பல்கலைக்கழகம் , அமைப்புகள் உயிரியல் , புதியது யார்க் பல்கலைக்கழகம் , மூலக்கூறு உயிரியல் ,

Envisioning safer cities with AI


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IMAGE: Visualization of the percentage of a building s repair cost to its replacement value after a magnitude 7.0 earthquake in San Francisco.
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Credit: Chaofeng Wang, SimCenter, UC Berkeley
Artificial intelligence is providing new opportunities in a range of fields, from business to industrial design to entertainment. But how about civil engineering and city planning? How might machine- and deep-learning help us create safer, more sustainable, and resilient built environments?
A team of researchers from the NSF NHERI SimCenter, a computational modeling and simulation center for the natural hazards engineering community based at the University of California, Berkeley, have developed a suite of tools called BRAILS Building Recognition using AI at Large-Scale that can automatically identify characteristics of buildings in a city and even detect the risks that a city s structures would face in an earthquake, hurricane, or tsunami. ....

United States , New Jersey , Atlantic City , San Francisco Bay , Lake Charles , San Francisco , Frank Mckenna , Charles Chaofeng Wang , Stella Yu , Sanjay Govindjee , Barbaros Cetiner , Qian Yu , Ertugrul Taciroglu , Satish Rao , Yunhui Guo , Ellen Rathje , University Of Texas At Austin , University Of California , Texas Advanced Computing Center , Operational Research Logistics In The Nearshore Environment , Google Maps , Microsoft Footprint Data , Simcenter Principal Investigator , Director Sanjay , Disaster Preparedness , Hurricane Laura ,

Research of microring lasers shows prospects of optical applications in electronics


Credit: Kazan Federal University
Problems for eigenmodes of a two-layered dielectric microcavity have become widespread thanks to the research of A.I. Nosich, E.I. Smotrova, S.V. Boriskina and others since the beginning of the 21st century. The KFU team first tackled this topic in 2014; undergraduates started working under the guidance of Evgeny Karchevsky, Professor of the Department of Applied Mathematics of the Institute of Computational Mathematics and Information Technology.
In this paper, the researchers discuss a model of a 2D active microcavity with a piercing hole and the possibility of a compromise between high directionality of radiation and low threshold gain. The analysis performed is based on the lasing eigenvalue problem (LEP) formalism. This LEP is a boundary value problem for the system of Maxwell equations with boundary and radiation conditions, adapted to study the threshold modes of open resonators with active regions. In LEP, each eigenvalue is a pair ....

Evgeny Karchevsky , Information Technology , Applied Mathematics , Computational Mathematics , Calculations Problem Solving , Technology Engineering Computer Science , Electrical Engineering Electronics , தகவல் தொழில்நுட்பம் , பயன்படுத்தப்பட்டது கணிதம் , கணக்கீட்டு கணிதம் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் ,

TPU scientists: Effective application of power transformers to reduce cost of electrical energy


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Scientists from Tomsk Polytechnic University and Université Grenoble Alpes (France) have proposed a more accurate method for loading capability assessment of power transformers. As an example, the scientists defined the loading capability of the power transformer in Tomsk and Grenoble. The research findings are published in the
International Journal of Electrical Power and Energy Systems (IF: 3,588, Q1).
The cost of a power transformer can reach a few hundred million rubles that makes it the most expensive element of an electrical grid. Therefore, power engineers tend to use the loading capability of transformers in full. The method proposed by the TPU scientists can help to operate power transformers closer to their thermal limit. It will allow operators to control power systems of higher transfer capability, grid electricity suppliers to postpone investment to change power transformers, end-users to use cheaper electrical energy. ....

Anton Prokhorov , Ildar Daminov , Division For Power , Tomsk Polytechnic University , International Standard , International Journal Of Electrical Power , Energy Systems , Grenoble Alpes , International Journal , Electrical Power , Associate Professor , Electrical Engineering , Technology Engineering Computer Science , Electrical Engineering Electronics , பிரிவு க்கு பவர் , சர்வதேச தரநிலை , ஆற்றல் அமைப்புகள் , க்ரிநோபல் ஆல்ப்ஸ் , சர்வதேச இதழ் , மின் பவர் , இணை ப்ரொஃபெஸர் , மின் பொறியியல் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Vinehealth and University of Surrey awarded £1 million grant to trial app for cancer patients


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The support app provides tailored advice to patients undergoing treatment for cancer,, and the app will be trialled in colorectal, breast and lung cancer patients across four NHS sites - helping them to better self-manage their medications, side effects, symptoms and lifestyles.
The app seamlessly integrates with smartphone technology, and it is hoped that its use can improve quality of life and reduce the use of emergency healthcare in patients undergoing treatment.
It is anticipated that 300 patients will be recruited, and randomised to receive either standard of care or standard of care and additional support through the app.
The trial will be sponsored by University of Surrey and run by Surrey Clinical Trials Unit, led by Professor Simon Skene and Dr Agnieszka Michael. ....

United Kingdom , Agnieszka Michael , Simon Skene , Rayna Patel , University Of Surrey , Surrey Clinical Trials Unit , Professor Simon Skene , Medical Statistics , Innovate United Kingdom , Medicine Health , Technology Engineering Computer Science , ஒன்றுபட்டது கிஂக்டம் , சிமோன் ஸ்கீன் , ராய்நா படேல் , பல்கலைக்கழகம் ஆஃப் சர்ரே , மருத்துவ புள்ளிவிவரங்கள் , புதுமை ஒன்றுபட்டது கிஂக்டம் , மருந்து ஆரோக்கியம் ,