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Victor Gevers, a security researcher for the GDI Foundation, a nonprofit that seeks to defend Internet freedom, found the database, belonging to SenseNets, a Chinese company that provides facial recognition and other monitoring systems to the police.
Although he would welcome more regulatory oversight, he said title companies have found the database to be accurate and that its main flaw is that it doesn't contain every mortgage in America.
If they found the database, scammers and marketing folk alike will likely benefit most.
Ostensibly, hackers had found the database, attempted to lock it up and demand payment to open it.
Security researcher Oliver Hough found the database through Shodan, a search engine for exposed devices and databases, and told TechCrunch of the exposure.
Well under 0.1% of papers in PubMed have been retracted, the study found; the database contains more than 25 million papers going back to the 1940s.
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Bob Diachenko, Hacken.io's director of cyber risk research, found the databases containing 113.5 million records — though it's not known how many users were directly affected.
You can find the database listing on the Arts Databases page or in Find Databases by Title.
To find the database, go to Worldsurface.com's home page, and click on the the eco-tours link beneath the Travel Shop heading.
Researchers interested in facets of business, social, economic, and cultural history are sure to find the database a rich resource.
I find the database analogy useful here: developers with only a foggy notion of database implementation routinely benefit from the expertise of the programmers who do understand these systems — i.e., the "professionals". How?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com