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Medicine

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Dairy, cows, Mastitis, Antibiotic, Agriculture, Veterinary Medicine

Mammary Stem Cells Challenge Costly Bovine Disease

Bovine mastitis is typically treated with antibiotics, but with the potential threat of antimicrobial resistance and the disease’s long-term harm to the animal’s teat, researchers at the Cornell University College of Veterinary Medicine are laying the foundation for alternative therapies derived from stem cells.

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health, diet, wellness, artificial intelligence

You Are What Your Friends Eat

USC’s Center for Artificial Intelligence in Society’s is developing a comprehensive algorithm that provides health practitioners the tool to form real-life peer support groups based on demographic, social and health-related data self-volunteered by patients.

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DNA, RNA

Genetic Transcription ‘Pause’ Is Focus of NASA Grant

Almost all forms of animal life – from fruit flies to butterflies to mammals – contain a pause in transcription, a step that appears to allow the transcription machinery to take a break to fine-tune its copying process. No one knows when this pause originated in the evolution of life. Charles Danko, assistant professor of genetics and molecular biology at the Cornell University Baker Institute for Animal Health, will investigate with a three-year, $790,000 grant from NASA’s Exobiology program.

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Biological and Environmental Research, biological and environmental sciences, Advanced Scientific Computing Research, National Energy Research Scientific Computing Center, NERSC, JGI, nucleic acids research, Joint Genome Institute, HipMCL, Markov model, Networks, LBNL, Lawrence Berkeley National Laboratory, Berkeley Lab, Markovian model, Markov, Proteins, Big Data, big data analytics , Protein, Metagenome, metagenomes, Taxonomic diversity, taxonomic classification, algorithim, Biology, Supercomputer, Supercomputers, Supercomputing, protein analysis, sparse matrix manipulation, Matrix, Scalable Solutions

A Game Changer: Protein Clustering Powered by Supercomputers

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New algorithm lets biologists harness massively parallel supercomputers to make sense of a protein “data deluge.”

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Energy flow charts, U.S. energy, Solar Power, Wind Power

Americans Ramp Up Use of Solar and Wind Energy in 2017

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Americans used more solar and wind energy in 2017 compared to the previous year, according to the most recent energy flow charts released by Lawrence Livermore National Laboratory. Overall, energy consumption by the residential and commercial sectors dropped a bit.

Medicine

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Engineering, Biomechanics, Tendon Injury, Health, wearable devices, Orthopedics

Future Wearable Device Could Tell How We Power Human Movement

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For athletes and weekend warriors alike, returning from a tendon injury too soon often ensures a trip right back to physical therapy. However, a new technology developed by University of Wisconsin–Madison engineers could one day help tell whether your tendons are ready for action.

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Great Barrier Reef, McCormick School of Engineering

Death of Great Barrier Reef: Environmental Engineer Available

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How Your Brain Learns to Expect Mud Puddles in the Park (and Other Things)

Updated expectations are vital for making decisions Your midbrain encodes the expectation error and relays it to the frontal lobe to revise Dopamine neurons are likely involved in encoding identity errors and new expectations in brain

Medicine

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Cardiac Arrhythmia, Cardiac Events, Cardiac Arrest, Prediction, Modeling, echo state network, electrical excitation, heart muscle, Dynamics, Chaos, Roland S. Zimmermann, Ulrich Parlitz, Georg August University Gottingen, Max Planck Institute for Dynamics and Self-Organization

Reconstructing What Makes Us Tick

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A major issue that limits modeling to predict cardiac arrhythmia is that it is impossible to measure and monitor all the variables that make our hearts tick, but researchers have now developed an algorithm that uses artificial intelligence to model the electrical excitations in heart muscle. Their work, appearing in Chaos, draws on partial differential equations describing excitable media and echo state networks to cross-predict variables about chaotic electrical wave propagations in cardiac tissue.

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Electron Mobility, wide bandgap semiconductors, bandgap, Electronics, heterostructures, Semiconductor, Gallium Oxide, Electron, Yuewei Zhang, Adam Neal, Zhanbo Xia, Chandan Joishi, Yuanhua Zheng, Sanyam Bajaj, Mark Brenner, Shin Mou, Donald Dorsey, Kelson Chabak, Gregg Jessen, Jinwoo Hwang, Joseph Heremans, Siddarth Rajan, Ohio State University, Air Force Research Laboratory, Indian Institute of Technology Bombay

Getting Electrons to Move in a Semiconductor

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In new experiments reported in Applied Physics Letters, researchers have shown that a wide-bandgap semiconductor called gallium oxide can be engineered into nanometer-scale structures that allow electrons to move much faster within the crystal structure. With electrons that move with such ease, Ga2O3 could be a promising material for applications such as high-frequency communication systems and energy-efficient power electronics.







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