The Research Center of the Specialty Coffee Association (SCA) is teaming up with the UC Davis Coffee Center to embark on a two-year project to re-evaluate the scientific assumptions, measurement tools, sensory information, and – most importantly – consumer research that forms the foundation of the coffee industry’s fundamental understanding of coffee brewing.
Students in the UC Davis “Design of Coffee” class learn engineering principles from roasting and brewing coffee.
This research is underwritten with funding from Breville, which produces high-end appliances, including coffee and tea equipment.
Full post: Industry Supports UC Davis Coffee Research
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Jim Crutchfield wants to teach a machine to “see” in a new way, discovering patterns that evolve over time instead of recognizing patterns based on a stored template.
It sounds like an easy task – after all, any animal with basic vision can see a moving object, decide whether it is food or a threat and react accordingly, but what comes easily to a scallop is a challenge for the world’s biggest supercomputers.
CORI at Lawrence Berkeley Lab is one of the world’s fastest computers. It is named after Gerty Theresa Cori, the first woman to win a Nobel Prize for Physiology or Medicine. (NERSC/LBL photo)
Applying mathematics to detect chemical weapons, hidden explosives or other threats is the goal of an ongoing project at the UC Davis Department of Mathematics, supported by grants from the National Science Foundation.
Blind deconvolution is a mathematical method to clarify a blurred image without knowledge of the original image, or how it was blurred. Top, original image; bottom, blurred image after blind deconvolution (Original image by Steve Byland).
Threat detection involves math at a range of levels, said Professor Thomas Strohmer, who leads the project. It can include quickly processing large amounts of data, coordinating multiple sensors, or extracting clarity from background noise.
Full post: NSF Grant Funds Math For National Security
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New Instrument Will Enable Discovery in Biology
By Cassaundra Baber
The addition of a ground-breaking microscope to the College of Biological Sciences’ arsenal of research tools will transform the way UC Davis life scientists conduct research, researchers say. The lattice light-sheet microscope — one of approximately 25 of its type in the world — has the potential to revolutionize what is known about the living cell.
“Think about Galileo and his telescope,” said Michael Paddy, scientific coordinator for the Light Microscopy Imaging Facility in the Department of Molecular and Cellular Biology. “His invention changed astronomy and our understanding of our place in the world.”
Compounds Could Be Basis For Devices That Turn Waste Heat Into Electricity
Cage-like compounds called clathrates could be used for harvesting waste heat and turning it into electricity. UC Davis chemists just discovered a whole new class of clathrates, potentially opening new ways to make and apply these materials.
UC Davis chemists discovered a new class of clathrates that break the four-bond rule. The discovery was featured on the cover of the journal Angewandte Chemie (Wiley)
By Holly Ober
Two UC Davis graduates have started a company incubated in the TEAM manufacturing facility at the UC Davis Department of Biomedical Engineering.
Arshia Firouzi and Gurkern Sufi met in 2011 as Freshmen living in Tercero Dormitories at UC Davis and quickly became friends. Arshia majored in Electrical Engineering and Gurkern in Biotechnology, and they worked with the mentorship of Professor Marc Facciotti to explore their shared interest in the intersection of electronics and biology. In 2015 they won a VentureWell grant for a research project, which they pursued in TEAM’s Molecular Prototyping and Bioinnovation Laboratory. By the end of their project, they had come up with an idea that grew into a company that could usher in a new era for laboratories all over the world.
By Lisa Howard
On January 20, 1990, when the nuclear reactor at McClellan Air Force Base achieved its first sustained nuclear reaction known as “criticality,” it was the newest reactor in the United States.
Six years later, when the Tennessee Valley Authority launched the Watts Bar Nuclear Generating Station, the nuclear reactor at McClellan was relegated to second newest. McClellan would go on to retain that ranking for another two decades until this past October when the Tennessee Valley Authority launched Watts Bar Unit 2.
The UC Davis-based EXPLORER consortium, which aims to build a revolutionary total-body PET (positron emission tomography) scanner, has announced the selection of two industry partners to help build the prototype device. They are United Imaging Healthcare America, a North American subsidiary of Shanghai United Imaging Healthcare, and SensL Technologies of Cork, Ireland.
Positron emission tomography, or PET, scanning uses short-lived radioactive tracers to show how organs and tissues are functioning in the body, while magnetic resonance imaging (MRI) and computed tomography (CT) scans mostly show anatomy. PET scans are widely used to diagnose and track a variety of illnesses, including cancer, heart disease and Alzheimer’s disease.
2016 saw an unprecedented use of cyberattacks during a U.S. presidential election. According to the U.S. Department of Homeland Security and the Office of the Director of National Intelligence, the Russian government directed theft of emails and release of information in an apparent attempt to influence the election.
What does this mean for the coming year? I asked Professors Karl Levitt, Matt Bishop, Hao Chen, and Felix Wu of the UC Davis Computer Security Laboratory for some thoughts about cybersecurity in the wake of the 2016 election hack. Here’s what they had to say.
In the latest episode of the Three Minute Egghead podcast, Ilias Tagkopoulos talks about a computer model that predicts the metabolism of the bacteria Escherichia coli. While E. coli might be one of the most-studied organisms both in labs and as a cause of disease, there is still much we don’t know about it, he notes.
Tagkopoulos and his team spent two years pulling together all the data they could find on E. coli, from DNA sequences to metabolism, and assembling it into a single database. They then used computer clusters and the Blue Waters supercomputer to create their model. You can access their data here.