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IMAGE: Argonne researchers used supercomputers to optimize the design of piston bowls in heavy-duty engines for Caterpillar Inc. The top designs reduced fuel consumption and soot formation, and others had potential. view more
Credit: (Image by Chao Xu/Argonne National Laboratory.)
Argonne is helping Caterpillar improve efficiency and reduce emissions in their heavy-duty diesel engines.
Heavy-duty diesel engines still power most large vehicles used in the construction, mining and transportation industries in the United States. Engineers are working to improve the fuel efficiency of these engines while minimizing pollution to reduce energy consumption and ensure the sustainability of these industries in the future.
Credit: Brainx3.com, SPECS lab.
Thanks to the so-called deep learning, a subset of artificial intelligence (AI) algorithms inspired by the brain, machines can match human performance in perception and language recognition and even outperform humans in certain tasks. But do these synthetic biologically inspired systems learn in the same way that we do?
According to a new article by first author Dr. Diogo Santos-Pata from the Synthetic Perceptive, Emotive and Cognitive Systems lab (SPECS) at IBEC led by ICREA Professor Paul Verschure, in collaboration with Prof. Ivan Soltesz at Stanford University, the mechanism of autonomous learning underlying these AI systems reflects nature more closely than previously thought. With their hypothesis and model, these scientists offer new insights into how we learn and store memories.
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Worldwide many thermal industries are working without tapping the valuable waste heat into a useful form. Electricity is one of the most extensively used commodities in the world. The existing and futuristic power plant configurations and its characteristics suitable to a waste heat recovery (WHR) are discussed in Thermal Cycles of Heat Recovery Power Plants . Novel power plant configurations are developed and elaborated from modelling to the optimization through the simulation.
Five different power plants configurations, suitable to heat recovery are presented viz. organic Rankine cycle (ORC), organic flash cycle (OFC), Kalina cycle (KC) steam Rankine cycle (SRC) and steam flash cycle (SFC). Out of these power plant layouts, flash cycle (FC) has been recommended because of its adoptability to the heat recovery. The novel flash cycle, which is different from the current geothermal power plant is detailed to augment the heat recovery and power with organic fluid system an
Credit: Dell Medical School at the University of Texas at Austin
AUSTIN, Texas For people experiencing homelessness, missing proof of identity can be a major barrier to receiving critical services, from housing to food assistance to health care. Physical documents such as driver s licenses are highly susceptible to loss, theft or damage. However, researchers from Dell Medical School at The University of Texas at Austin say new technology solutions such as blockchain can be used to keep important health care information secure and portable. Health care institutions and social services are so fragmented and siloed they re unable to accurately collect, share or verify basic identity information about a person experiencing homelessness, said Tim Mercer, M.D., MPH, director of the Global Health Program in the Department of Population Health at Dell Med and co-author of a new commentary published in the
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VIDEO: A cryomicroneedle patch placed on the hand to demonstrate the melting of the needles on the skin (without pressing them to penetrate into the skin). view more
Credit: Chang et al. /DOI number: 10.1038/s41551-021-00720-1
A research team led by
City University of Hong Kong (CityU) scientists recently developed a new generation of microneedles technology which allows the intradermal delivery of living cells in a minimally invasive manner. Their experiment showed that vaccination using therapeutic cells through this ground-breaking technology elicited robust immune responses against tumours in mice, paving the way for developing an easy-to-use cell therapy and other therapeutics against cancers and other diseases.