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Are our oil and gas pipelines safe during an earthquake?


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IMAGE: The new research shows that current methods used for calculating stress received by the underground pipelines during an earthquake are incorrect.
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Credit: Peter the Great St.Petersburg Polytechnic University
Underground pipelines that transport oil and gas are very important engineering communications worldwide. Some of these underground communications are built and operated in earthquake-prone areas.
Seismic safety or seismic stability of underground pipelines began to be intensively studied since the 1950s.
Since then, a number of methodologies were proposed for calculating stress received by an underground pipeline during an earthquake. The purpose of these methodologies was to make an accurate prediction on the structural stress received by a pipeline during an earthquake, and thus it would allow to decide how resilient the pipeline must be made in the first place. It is important to find a right balance between pipel ....

Republic Of Uzbekistan , Russian Federation , Karim Sultanov , Nikolai Vatin , Institute Of Civil Engineering Spb , Great St Petersburg Polytechnic University Spb , Institute Of Mechanics , Research Center , Ministry Of Science , Higher Education Of The Russian Federation , Seismic Stability , Structures Academy , Great St Petersburg Polytechnic University , Civil Engineering , Wave Theory , Seismic Resistance , Higher Education , World Class Research Center , Advanced Digital Technologies , Industrial Engineering Chemistry , Earth Science , Energy Sources , Geology Soil , Plate Tectonics , Algorithms Models , Calculations Problem Solving ,

Machine learning at speed


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IMAGE: Technology developed through a KAUST-led collaboration with Intel, Microsoft and the University of Washington can dramatically increase the speed of machine learning on parallelized computing systems.
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Credit: © 2021 KAUST; Anastasia Serin.
Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led collaboration to increase the speed of machine learning on parallelized computing systems five-fold.
This in-network aggregation technology, developed with researchers and systems architects at Intel, Microsoft and the University of Washington, can provide dramatic speed improvements using readily available programmable network hardware.
The fundamental benefit of artificial intelligence (AI) that gives it so much power to understand and interact with the world is the machine-learning step, in which the model is trained using large sets of labeled training data. The more data the AI is tra ....

Amedeo Sapio , Barefoot Networks , University Of Washington , Barefoot Network , Marco Canini , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , Software Engineering , வெறுங்காலுடன் நெட்வொர்க்குகள் , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , வெறுங்காலுடன் வலைப்பின்னல் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , கணினி அறிவியல் , மல்டிமீடியா நெட்வொர்க்கிங் இடைமுகம் வடிவமைப்பு , மென்பொருள் பொறியியல் ,

UCF study shows masks, ventilation stop COVID spread better than social distancing


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IMAGE: For the study, the researchers created a computer model of a classroom with students and a teacher, then modeled airflow and disease transmission, and calculated airborne-driven transmission risk.
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Credit: Michael Kinzel, UCF
ORLANDO, April 5, 2021 - A new study from the University of Central Florida suggests that masks and a good ventilation system are more important than social distancing for reducing the airborne spread of COVID-19 in classrooms.
The research, published recently in the journal
Physics of Fluids, comes at a critical time when schools and universities are considering returning to more in-person classes in the fall. ....

Aaron Foster , Michael Kinzel , Us Centers For Disease , College Of Engineering , Pennsylvania State University , University Of Central Florida , National Science Foundation , Office Of Research , Aerospace Engineering , Energy Research , Central Florida , Computational Fluid , Computational Fluid Dynamics , Disease Control , National Science , Computer Science , Advanced Turbomachinery , Algorithms Models , Calculations Problem Solving , Environmental Health , Infectious Emerging Diseases , Public Health , Technology Engineering Computer Science , Mechanical Engineering , ஆரோன் வளர்ப்பு , மைக்கேல் கிஞ்சேல் ,

Unique macro-vertebrate at risk from blood sport and climate change


Credit: Image by Katerina Zapfe
The kangaskhan, Australia s only species of endemic Pokemon in Pokemon Go, is commonly poached within its natural habitat by Pokemon trainers for use in fighting contests
Researchers used several species distribution modeling algorithms to predict how climate change, on top of the already existing human-induced pressures, would impact the distribution of the kangaskhan in the future
In addition to this, they found a way to measure how biased commonly used species distribution models are, and found that some models are so biased that their results weren t influenced by the data at all
The researchers compared these results to previously published models for hundreds of species of Australian mammals and found similar biases ....

Kangaskhan Garura , Dan Warren , Okinawa Institute Of Science , Technology Graduate University , Biocomplexity Unit , Okinawa Institute , Ecology Environment , Zoology Veterinary Science , Earth Science , Mathematics Statistics , Algorithms Models , Climate Change , டான் வாரன் , ஓகைநாவ நிறுவனம் ஆஃப் அறிவியல் , தொழில்நுட்பம் பட்டதாரி பல்கலைக்கழகம் , ஓகைநாவ நிறுவனம் , சூழலியல் சூழல் , ஸுவாலஜீ கால்நடை அறிவியல் , பூமி அறிவியல் , கணிதம் புள்ளிவிவரங்கள் , காலநிலை மாற்றம் ,