Ohio State vs. Michigan State odds, line: Advanced computer model reveals spread picks for Saturday’s game

The No. 3 Ohio State Buckeyes will try to stay on track to make the College Football Playoff when they take on the Michigan State Spartans on Saturday at Spartan Stadium in East Lansing, Mich. Kickoff is set for noon ET. William Hill Sportsbook pegs the Buckeyes as 23.5-point favorites in the latest odds, while the Over/Under for total points scored is 59.5. (Find the latest college football lines for every game this week on our college football odds page.) 

Before making any Michigan State vs. Ohio State picks, you need to check out the college football predictions from the SportsLine Projection Model.

The SportsLine Projection Model simulates every FBS college football game 10,000 times. Over the past four-plus years, the proprietary computer model has generated a stunning profit of over $3,500 for $100 players on its top-rated college football picks against the spread. It is also a sizzling 49-25

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COVID-19 testing in Mass. is ‘far short’ of levels needed to stop the spread

Another takeaway: A ramped-up testing infrastructure will remain crucial to public health, well after vaccines are widely available.

“It’s not at the pace we would have expected,” said Donna Hochberg, a partner at consultancy Health Advances who leads the firm’s diagnostics practice. “Testing really does help control the pandemic.”

Bain Capital cochair Steve Pagliuca, who leads the tech council’s COVID-19 response and recovery efforts, hosted the event on Monday. The tech council’s main goal is to educate employers and public leaders about the continued need to focus on testing strategies even as the fight against COVID-19 enters a new phase with the arrival of vaccines. In its latest report on the issue, the tech council recommended that federal, state, and local governments develop a systematic, expanded testing regime using multiple kinds of tests and employing public-private partnerships.

Pagliuca, also a co-owner of the Boston Celtics, noted how the number of

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New agreement aims to spread Scandinavian design to Europe’s urban…

Danish design company out-sider is entering into an agreement for the right to sell Verner Panton’s iconic Cloverleaf sofa for urban spaces. “We want to spread this attractive Danish design to Europe’s many urban landscapes,” says Head of Development Ib Mogensen

Autumn 2020 saw design companies out-sider and Verpan enter into an agreement that gives out-sider the rights to sell Verner Panton’s iconic outdoor seating Cloverleaf. And it’s an agreement that sparks the enthusiasm of Ib Mogensen, who is the CEO of out-sider. For he has long sought to bring design classics to outdoor spaces:

“Not only do we get an iconic Danish design, but also what I feel architects and urban planners worldwide are lacking – namely, attractive design for outdoor and urban landscapes. For a number of years we have achieved success with urban furniture in the same category as Cloverleaf, and thanks to its flexibility, size

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HamCo Public Health using social media to stop the spread

National Review

Finally, Maduro is Listening

On Monday, Bloomberg broke the news that Venezuela’s president Nicolás Maduro is inching toward official dollarization. He has ordered the Banco Central de Venezuela to engage in discussions with Venezuelan bankers on the modalities of creating a clearing and settlement system in U.S. dollars. Maduro, in a rare display of good judgment, is taking a necessary step toward what I have been advocating for many years: official dollarization in Venezuela. Indeed, I first proposed this when I was President Rafael Caldera’s chief adviser in 1995.Unlike the opposition leader Juan Guaidó, who has been recognized as interim president by the United States, the European Union, and others, Maduro has finally received the message about the only way to stop Venezuela’s hyperinflation immediately. If he continues on this path, he will smash hyperinflation and remain in the saddle.Venezuela’s bolivar is worthless, and its annual inflation rate

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Computer model uses cellphone data to predict COVID-19’s spread in US cities

A team of researchers from Stanford and Northwestern universities have created a computer model that predicts how COVID-19 spreads in cities by studying anonymized cellphone data from 98 million Americans in 10 major cities.

a group of people standing in front of a crowd: A crowd of people gathers to drink at a bar in Columbs, Ohio, May 15, 2020.

© Columbus Dispatch via USA Today Network, FILE
A crowd of people gathers to drink at a bar in Columbs, Ohio, May 15, 2020.

Their findings indicate that most infections occur at so-called super-spreader sites where people are in contact for long periods of time, such as at restaurants or gyms that have reopened at or near full capacity. Researchers said the model also can help explain some of the reasons COVID-19 has hit communities of color particularly hard.

MORE: Tents, igloos and barriers, here’s how the virus can spread from table-to-table

The new research comes at a time when new COVID-19 cases in the U.S. are surging across the country and cities have struggled

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Stanford scientists’ computer model predicts COVID-19 spread in cities

A computer model using cellphone data to map the places people frequent every day in large cities may indicate that most COVID-19 infections occur at “superspreader” sites such as full-service restaurants, gyms and cafes.

The report, published Tuesday in the journal Nature, examined the data of 98 million Americans collected at 10 large U.S. cities, including San Francisco, for two months beginning in March. The data was then fed into an epidemiological model developed by a Stanford University-led team.

Jure Leskovec, the Stanford computer scientist who led the study, told Stanford News that the model analyzed how people of different demographic backgrounds and neighborhoods visited establishments that are more or less crowded.

“Based on all of this, we could predict the likelihood of new infections occurring at any given place or time,” he said.

Those predictions would later prove accurate based on the number of infections officially recorded by the

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