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Are our oil and gas pipelines safe during an earthquake?

 E-Mail IMAGE: The new research shows that current methods used for calculating stress received by the underground pipelines during an earthquake are incorrect. view more  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 pipeline cost and its stru

Physicists develop theoretical model for neural activity of mouse brain

The dynamics of the neural activity of a mouse brain behave in a peculiar, unexpected way that can be theoretically modeled without any fine tuning, suggests a new paper by physicists at Emory University. Physical Review Letters published the research, which adds to the evidence that theoretical physics frameworks may aid in the understanding of large-scale brain activity.

Machine learning at speed

 E-Mail 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. view more  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 trained on, the better t

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

 E-Mail 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. view more  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.

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

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