Brookline rabbi to hold vaccination clinic for Holocaust survivors
By Charlie McKenna Globe Correspondent,Updated February 11, 2021, 11:45 a.m.
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Rabbi Danielle Eskow plans to hold a vaccination clinic for Holocaust survivors on Feb. 25 at the Congregation Kehillath Israel in Brookline.Danielle Eskow
Rabbi Danielle Eskow has organized a COVID-19 vaccination clinic for Holocaust survivors in Brookline in a concerted effort to help a vulnerable population that might otherwise struggle to book an appointment.
Eskow, who was vaccinated in the first phase of the stateâs rollout plan, said she hopes the clinic
will come as a relief to survivors, many of whom live alone or are not technologically savvy, she said.
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New research tackles a central challenge of powerful quantum computing
February 11, 2021
Chen Wang
AMHERST, Mass. – To build a universal quantum computer from fragile quantum components, effective implementation of quantum error correction (QEC) is an essential requirement and a central challenge. QEC is used in quantum computing, which has the potential to solve scientific problems beyond the scope of supercomputers, to protect quantum information from errors due to various noise.
Published by the journal Nature, research co-authored by University of Massachusetts Amherst physicist Chen Wang, graduate students Jeffrey Gertler and Shruti Shirol, and postdoctoral researcher Juliang Li takes a step toward building a fault-tolerant quantum computer. They have realized a novel type of QEC where the quantum errors are spontaneously corrected.
Estee Cramer
AMHERST, Mass. – An ensemble forecast representing multiple models has generated the most consistent predictions of COVID-19 deaths, according to preliminary research by biostatisticians and epidemiologists at the University of Massachusetts Amherst.
Led by Nicholas Reich, director of the UMass Amherst-based COVID-19 Forecast Hub and the Influenza Forecasting Center of Excellence, the team evaluated about 200,000 forecasts of pandemic deaths from around 25 global teams of infectious-disease forecasters. Their initial findings are available on
medRxiv, the health sciences preprint server for research not yet peer-reviewed.
“The ensemble was the only model that ranked in the top half for over 75% of the forecasts it made,” says Reich, associate professor of biostatistics and epidemiology in the School of Public Health and Health Sciences.