Fourth Annual Report of The Electric Development Company of Ontario Limited For the Year Ending 31st December, 1906

Fourth Annual Report of The Electrical Development Company of Ontario Limited for for the year 1906. The report discusses the main line between Niagara Falls and Toronto and the line between the Township of Pelham and the city of Brantford. The report also details the purchase of stocks and bonds in several different companies.

National Intelligencer, 10 November 1812 (vol. 13, no. 1895) - Newspaper

The Intelligencer was an American newspaper that was established in Washington by Samuel Harrison Smith, a young Jeffersonian-Republican from Philadelphia. The paper was a supporter of the Jefferson and Madison administrations until 1810 when it was sold to Joseph Gales Jr. from North Carolina. In 1812 William Seaton joined Gales as a publishing partner. The paper made significant contributions to the nation and wielded considerable influence in political circles during its publication

National intelligencer, 22 May 1813 (vol. 13, no. 1977) - Newspaper

Volumes of interest were published between 1812 and 1815 with articles about the War of 1812. Issue for May 22, 1813 includes a letter of May 9th from Gen. W. H. Harrison to the Sec. of War, stating that the enemy had begun removing their artillery.

The Weekly Messenger, 13 December 1811 (vol. 1, no. 8) - Newspaper

Volumes of interest were published between 1812 and 1815 with articles about the War of 1812. Issue for Dec. 13, 1811 has a report of the battle with the Indians at Tippecanoe (Indiana). The Battle of Tippecanoe was fought on November 7, 1811, between United States forces led by Governor William Henry Harrison of the Indiana Territory and forces of Tecumseh's growing American Indian confederation led by his younger brother Tenskwatawa.

The American Mercury, 5 October 1813 (vol. 30, no. 1527) - Newspaper

Volumes of interest were published between 1812 and 1815 with articles about the War of 1812. Issue for Oct. 5, 1813 includes: A report announces the arrival of Commodore Rodgers in the U.S. frigate President, in the harbor from his "brilliant cruise" of five months. There is also a list of the captures Rodgers made during his cruise. The feature item in this issue, however, is the famous dispatch sent by Oliver Hazard Perry at the Battle of Lake Erie to General William Henry Harrison. The dispatch, taken from the Chillicothe Supporter, of Sept. 15, is datelined "U.S. Brig Niagara, off the Western Sister, head of Lake Erie, September 10th, 1813, 4 P.M.", and reads: "Dear General, we have met the enemy; and they are ours! Two ships, two brigs, one schooner and one sloop. Yours with great respect and esteem." The dispatch is signed in type: O. H. Perry.

Network Similarity Measures and Automatic Construction of Graph Models using Genetic Programming

A complex network is an abstract representation of an intricate system of interrelated elements where the patterns of connection hold significant meaning. One particular complex network is a social network whereby the vertices represent people and edges denote their daily interactions. Understanding social network dynamics can be vital to the mitigation of disease spread as these networks model the interactions, and thus avenues of spread, between individuals. To better understand complex networks, algorithms which generate graphs exhibiting observed properties of real-world networks, known as graph models, are often constructed. While various efforts to aid with the construction of graph models have been proposed using statistical and probabilistic methods, genetic programming (GP) has only recently been considered. However, determining that a graph model of a complex network accurately describes the target network(s) is not a trivial task as the graph models are often stochastic in nature and the notion of similarity is dependent upon the expected behavior of the network. This thesis examines a number of well-known network properties to determine which measures best allowed networks generated by different graph models, and thus the models themselves, to be distinguished. A proposed meta-analysis procedure was used to demonstrate how these network measures interact when used together as classifiers to determine network, and thus model, (dis)similarity. The analytical results form the basis of the fitness evaluation for a GP system used to automatically construct graph models for complex networks. The GP-based automatic inference system was used to reproduce existing, well-known graph models as well as a real-world network. Results indicated that the automatically inferred models exemplified functional similarity when compared to their respective target networks. This approach also showed promise when used to infer a model for a mammalian brain network.