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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Global SEO Software Market to Have Positive Impact Due to COVID-19 Spread | Upsurge in penetration of internet worldwide to Boost Growth | Technavio

LONDON–(BUSINESS WIRE)–Nov 30, 2020–

The SEO software market is expected to grow by USD 740.01 million, progressing at a CAGR of over 15% during the forecast period.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20201130005579/en/

Technavio has announced its latest market research report titled Global SEO Software Market 2020-2024 (Graphic: Business Wire)

Click & Get Free Sample Report in Minutes

The worldwide upsurge in the penetration of the internet is one of the major factors propelling the market growth. However, factors such as data privacy concerns among end-consumers will hamper market growth.

More details:https://www.technavio.com/report/seo-software-market-industry-analysis

SEO Software Market: Type Landscape

Based on the type, the market saw maximum growth in the desktop user segment in 2019. This is due to the increased offering of SEO software curated for the desktop platform. The growth of the market in this segment will be significant during the forecast period. However,

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Global SEO Software Market to Have Positive Impact Due to COVID-19 Spread | Upsurge in penetration of internet worldwide to Boost Growth

LONDON–(BUSINESS WIRE)–#GlobalSEOSoftwareMarket–The SEO software market is expected to grow by USD 740.01 million, progressing at a CAGR of over 15% during the forecast period.


Click & Get Free Sample Report in Minutes

The worldwide upsurge in the penetration of the internet is one of the major factors propelling the market growth. However, factors such as data privacy concerns among end-consumers will hamper market growth.

More details: https://www.technavio.com/report/seo-software-market-industry-analysis

SEO Software Market: Type Landscape

Based on the type, the market saw maximum growth in the desktop user segment in 2019. This is due to the increased offering of SEO software curated for the desktop platform. The growth of the market in this segment will be significant during the forecast period. However, market growth in the desktop user segment will be slower than the growth of the market in the mobile user segment.

SEO Software Market: Geographic Landscape

By geography, North

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Hackers spread hate speech on Dist. 207 website

Students at two suburbanchool districts were exposed to hate speech and lewd material this week after hackers apparently infiltrated both districts’ websites, school officials said.

Police were investigating Wednesday’s incidents that targeted the Maine Township High School District 207 and Niles Township High School District 219 — both of which have ethnically and racially diverse student populations, the Pioneer Press suburban newspaper group reported.

        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        

 

District 219, which has two schools in Skokie, said in a statement to parents that emails were sent through a district email account Wednesday night to all district students containing “lewd, racist, anti-Semitic and patently offensive content.”

The district said its information technology team is working with the Skokie Police Department to investigate the incident, which prompted school officials to cancel Thursday’s first-period remote learning classes and temporarily suspend student access to district email accounts.

“As a district we condemn these actions and messages,” the district

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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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Computer model can predict COVID-19’s spread

A team of researchers has created a computer model that accurately predicted the spread of COVID-19 in 10 major cities this spring by analyzing three factors that drive infection risk: where people go in the course of a day, how long they linger and how many other people are visiting the same place at the same time.

Go to the web site to view the video.

Video by Kurt Hickman

A study of how 98 million Americans move around each day suggests that most infections occur at “superspreader” sites that put people in contact for long periods, and details how mobility patterns help drive higher infection rates among minority and low-income populations.

“We built a computer model to analyze how people of different demographic backgrounds, and from different neighborhoods, visit different types of places that are more or less crowded. Based on all of this, we could predict the likelihood

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Coronavirus: Computer model shows where spread occurs in cities

Researchers have developed a computer model that predicts how the novel coronavirus spreads in US cities.

The model looks at three factors that play a role in infection risk: where people go during the day, how long they stay, and how many other people are visiting the same place at the same time. 

It found that most cases of the virus occur at ‘superspreader’ sites, such as coffee shops, full-service restaurants and gyms, where people are close together for extended periods of time.  

However, limiting capacity in these locations could reduce the number of infections by as much as 75 percent.

The team, from Stanford University School of Engineering, says its model can be used as a tool for officials to determine the tradeoff between new infections and reopening businesses, even at limited capacity.  

A computer model from Stanford University found that most COVID-19 infections occur at ‘superspreader’ sites, such

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Facebook Groups that spread misinfo will now face probation and forced moderation

While the election may have now been called for Joe Biden, our misinformation nightmare is far from over.



graphical user interface, application: Facebook Groups that spread misinfo will now face probation and forced moderation


© Provided by Mashable
Facebook Groups that spread misinfo will now face probation and forced moderation

As unsubstantiated pro-Trump conspiracies about election fraud continue to spread on the internet, Facebook is taking further action with Facebook Groups, a feature that is often weaponized by misinformation spreaders.

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According to Facebook, the social networking company will now put certain problematic Facebook Groups in “probation” periods. During this 60-day timeframe, all posts to these groups must be manually approved by a group’s administrators or moderators.

A group will be placed in this probationary state if the company finds that many of its posts are violating its community standards policies. There will be no appeals process for the probation period. All groups, whether public or private, are subject to probation.

If policy violation problems

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Trump Leaving White House Memes Spread Like Wildfire as the Internet Jokes About President’s Departure

President Donald Trump’s unhinged reaction to the ongoing election results has sparked memes and parodies as the internet begins to imagine him leaving the White House in January.

In a press conference late on Thursday, Trump repeatedly made false claims about voter fraud and corruption, so much so that multiple news networks cut away from his speech. On Twitter, he again falsely declared his victory in a tweet that was flagged for being misleading.

Trump’s unconventional behavior over the past few days has prompted social media users to share memes and parody videos that imagine how he may react when told he has to leave the White House.

Usama Wajid shared the “Donny Goes to School” sketch from Comedy Central, which sees an actor playing Vice President Mike Pence trying to get an actor playing Trump to leave a playgroup with children, suggesting that Trump’s behavior in the sketch reflects

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