934 resultados para Portland, Saco, and Portsmouth Rail Road Company
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This layer is a georeferenced raster image of the untitled, historic nautical chart: [A chart of Falmouth Harbour]. The map is [sheet 29] from the Atlantic Neptune atlas Vol. 3 : Charts of the coast and harbors of New England, from surveys taken by Samuel Holland and published by J.F.W. Des Barres, 1781. Scale [ca. 1:25,000]. Covers Portland Harbor, Fore River, and a portion of Casco Bay, Maine. The image is georeferenced to the surface of the earth and fit to the 'World Mercator' (WGS 84) projected coordinate system. All map collar information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows coastal features such as harbors, inlets, rocks, channels, points, coves, shoals, islands, and more. Includes also selected land features such as cities and towns, buildings, and roads. Relief is shown by hachures; depths by soundings and shading. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection. The entire Atlantic Neptune atlas Vol. 3 : Charts of the coast and harbors of New England has been scanned and georeferenced as part of this selection.
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The convincing victory of the BJP in the 2014 Indian general elections came as a surprise to many. Most opinion polls, which had predicted a win for the Bharatiya Janata Party (BJP) and the National Democratic Alliance (NDA) that it leads, had not anticipated the scale of the party’s victory. The BJP alone won 282 seats and the NDA 336 out of 543 seats in the Lok Sabha, the lower house of Parliament. Two things stand out in the verdict. This is the first time in 30 years that a party won a majority on its own; this is also the worst-ever showing by India’s grand old party, the Indian National Congress, which won a mere 44 seats, 70 less than its previous all-time low in 1999.
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Previous research suggests that people tend to see faces in car fronts and that they attribute personality characteristics to car faces. In the present study we investigated whether car design influences pedestrian road-crossing behaviour. An immersive virtual reality environment with a zebra crossing scenario was used to determine a) whether the minimum accepted distance for crossing the street is larger for cars with a dominant appearance than for cars with a friendly appearance and b) whether the speed of dominant-looking cars is overestimated as compared to friendly-looking cars. Participants completed both tasks while either standing on the pavement or on the centre island. We found that people started to cross the road later in front of friendly-looking low-power cars compared to dominant-looking high-power cars, but only if the cars were relatively large in size. For small cars we found no effect of power. The speed of smaller cars was estimated to be higher compared to large cars (size-speed bias). Furthermore, there was an effect of starting position: From the centre island, participants entered the road significantly later (i. e. closer to the approaching car) and left the road later than when starting from the pavement. Similarly, the speed of the cars was estimated significantly lower when standing on the centre island compared to the pavement. To our knowledge, this is the first study to show that car fronts elicit responses on a behavioural level.
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Mode of access: Internet.
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Mode of access: Internet.
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Cover-title.
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Mode of access: Internet.
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Three volumes included in one.
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At head of title: Civil Engineering Testing Laboratories, Columbia University ...
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Signed: John W. Yeager, chairman, John T. McCann, Thomas J. Reynolds.
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Includes tables.
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Mode of access: Internet.
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Description based on: 6th (1875).