981 resultados para Montgomery County
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Mode of access: Internet.
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Mode of access: Internet.
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Subtitle varies.
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Mode of access: Internet.
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Audit report on Montgomery County, Iowa for the year ended June 30, 2015
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Gemstone Team Peace in Prisons
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Indenture of sale between Joseph Hamilton of London and Joseph Hart of Montgomery County. This is regarding Lot no. 25 in the 5th concession in the Township of Norwich in the County of Oxford, May 11, 1833.
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OBJECTIVES: Several Asian-American groups are at a higher risk of dying of liver diseases attributable to hepatitis-B infection. This culturally diverse community should be well informed of and protected against liver diseases. The present study assesses the knowledge of hepatitis B before and after a hepatitis-B educational program and determines the infection status of an Asian community. METHODS: Nine Asian communities of Montgomery County, MD, enrolled in the hepatitis-B prevention program between 2005 and 2006. They attended culturally tailored lectures on prevention, completed self-administered pre- and posttests, and received blood screening for the disease. RESULTS: More than 800 Asian Americans participated in the study. Knowledge of prevention was improved after educational delivery. The average infection rate was 4.5%, with Cambodian, Thai, Vietnamese, Chinese and Korean groups having higher infection rates. The age group of 36-45 had the highest percentage of carriers (9.1%). CONCLUSION: Many Asian groups, particularly those of a southeast Asian decent, were subject to a higher probability of hepatitis-B infection. At an increased risk are first-generation Asian immigrants, groups with low immunization rates and those aged 36-45. The findings provide potential directions for focusing preventive interventions on at-risk Asian communities to reduce liver cancer disparities.
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Microgrids are autonomously operated, geographically clustered electricity generation and distribution systems that supply power in closed system settings; they are highly compatible with renewable energy sources and distributed generation technologies. Mocrogrids are currently a serially underutilized and underappreciated commodity in the energy infrastructure portfolio worldwide. To demonstrate feasibility under poor conditions (little renewable energy potential and high demand) this capstone project develops a theoretical case study in which a renewable microgrid is employed to power rural communities of southern Montgomery County, Arkansas. Utilizing commercially manufactured 1.5-megawatt wind turbines and a 1-megawatt solar panel generation system, 4-megawatts of lithium ion battery storage, and demand response technology, a microgrid is designed that supplies 235 households with reliable electricity supply.
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This layer is a georeferenced raster image of the untitled historic paper manuscript map: [Map of Poolesville, Maryland and vicinity showing the position of Union brigades]. It was sketched by Union General George Stoneman, Oct. 24th, 1862. Scale not given. Covers a portion of Montgomery County, Maryland from Poolesville to the Potomac River. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Maryland State Plane Coordinate System (in Meters) (Fipszone 1900). All map collar and inset 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 features such as roads, towns and villages, drainage, troop location, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps of the Civil War from the Harvard Map Collection. Many items from this selection are from a collection of maps deposited by the Military Order of the Loyal Legion of the United States Commandery of the State of Massachusetts (MOLLUS) in the Harvard Map Collection in 1938. These maps typically portray both natural and manmade features, in particular showing places of military importance. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Map of the head waters of the rivers Susquehanna & Delaware embracing the early patents on the south side of the Mohawk River : from the original, drawn about the year 1790, by Simeon DeWitt, Esq. ... ; with the date of each patent now appended from the rec. in surveyr. genls. office, by E.B. O'C. It was published by Weed, Parsons & Co. in 1849. Scale [ca. 1:260,000]. Covers portion of Central New York including Oneida, Herkimer, Montgomery, Schenectady, Schoharie, Otsego, Delaware, and Greene Counties. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This is a cadastral map showing property boundaries, names of property owners, dates of patent, drainage, and more. Includes ill. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Fac-simile of a portion of Holme's map of the Province of Pennsylvania : with names of original purchasers from William Penn 1681. It was published by L. H. Everts & co. ca. 1884. Scale not given. Facsimile of a map published in 1681. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pennsylvania South State Plane Coordinate System NAD83 (in Feet) (Fipszone 3702). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. Cadastral map showing townships, landowner names, property boundaries, drainage, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the United States Geological Survey sheet map set entitled: Philadelphia and vicinity, east, 1955 (and west, 1956) (Pennsylvania - New Jersey) by the Geological Survey. It was published in 1958. Scale 1:24,000. Covers Philadelphia and portions of adjacent counties. Mapped by the Geological Survey, U.S. Coast and Geodetic Survey and Army Map Service. Compiled from 1:24,000 scale maps of Langhorne 1953, Hatboro 1952, Ambler 1952, Germantown 1952, Frankford 1950, Beverly 1955, Moorestown 1953, Camden 1949, Philadelphia 1949, Woodbury 1949, Rennemede 1952, and Clementon 1953 7.5 minute quadrangles. This layer is image 1 of 2 total images of the two sheet source map set representing the eastern portion of the map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pennsylvania South State Plane Coordinate System NAD27 (in Feet) (Fipszone 3702). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. USGS maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works of humans, such as roads, railroads, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 10 and 20 feet. Please pay close attention to map collar information on projections, spheroid, sources, dates, and keys to grid numbering and other numbers which appear inside the neatline. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Map of the country around Philadelphia : with the good roads specially marked. It was published by J. L. Smith in 1897. Scale [1:63,360]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pennsylvania South State Plane Coordinate System NAD83 (in Feet) (Fipszone 3702). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads ("Good roads" are shown in red), railroads, drainage, canals, selected buildings, towns, county and state boundies, and more. Includes explanation of signs. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.