Problem: Albon Man, a New York lawyer, started Electro-Dynamic Light Company in 1878 to exploit his patents and those of William Sawyer. Weeks later the United States Electric Lighting Company was organized. This company didn't made their first commercial installation of incandescent lamps until the fall of 1880 at the Mercantile Safe Deposit Company in New York City, about six months after the Edison incandescent lamps had been installed on the Columbia. Hiram S. Maxim was the chief engineer at the United States Electric Lighting Company.
When did Electro-Dynamic Light Company install its first lights?
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Answer: fall of 1880

Problem: New Haven's economy originally was based in manufacturing, but the postwar period brought rapid industrial decline; the entire Northeast was affected, and medium-sized cities with large working-class populations, like New Haven, were hit particularly hard. Simultaneously, the growth and expansion of Yale University further affected the economic shift. Today, over half (56%) of the city's economy is now made up of services, in particular education and health care; Yale is the city's largest employer, followed by Yale New Haven Hospital. Other large employers include St. Raphael Hospital, Smilow Cancer Hospital, Southern Connecticut State University, Assa Abloy Manufacturing, the Knights of Columbus headquarters, Higher One, Alexion Pharmaceuticals, Covidien and United Illuminating. Yale and Yale-New Haven are also among the largest employers in the state, and provide more $100,000+-salaried positions than any other employer in Connecticut.[citation needed]
In modern day how much does New Haven depend on blue collar jobs?
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Answer: over half (56%)

Problem: Data compression can be viewed as a special case of data differencing: Data differencing consists of producing a difference given a source and a target, with patching producing a target given a source and a difference, while data compression consists of producing a compressed file given a target, and decompression consists of producing a target given only a compressed file. Thus, one can consider data compression as data differencing with empty source data, the compressed file corresponding to a "difference from nothing." This is the same as considering absolute entropy (corresponding to data compression) as a special case of relative entropy (corresponding to data differencing) with no initial data.
What is made up of producing a difference given a source and a target?
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Answer:
Data differencing