WorldWideScience

Sample records for twelve census trips

  1. County Census Divisions, Census 2000

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Census Data

    Data.gov (United States)

    Department of Housing and Urban Development — The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic...

  3. Homeward Trip

    Institute of Scientific and Technical Information of China (English)

    白清

    1996-01-01

    I am a Beijing girl studying at a university in Shanghai. At the end of every semester, scarcely have I felt relaxed after examinations when I begin to worry over another long and tedious homeward trip I have to take.

  4. Field Trip.

    Science.gov (United States)

    Sanders, Bill

    1993-01-01

    Reports the results of a field trip to measure the intensity of electromagnetic fields generated by electronic devices in the home, in cars, at work, outside, and in places people visit during the day. Found that a person gets more intense exposure while working at a computer than by living next to an electrical substation. (MDH)

  5. Muskox census

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A total of 148 muskox in 7 groups were counted. A few muskox were probably missed during the census and the total of 148 muskox represents the minimum re-calving...

  6. ICARUS trip

    CERN Multimedia

    Caraban Gonzalez, Noemi

    2017-01-01

    It’s lived in two different countries and is about to make its way to a third. It’s the largest machine of its kind, designed to find extremely elusive particles and tell us more about them. Its pioneering technology is the blueprint for some of the most advanced science experiments in the world. And this summer, it will travel across the Atlantic Ocean to its new home (and its new mission) at the U.S. Department of Energy’s Fermi National Accelerator Laboratory. It’s called ICARUS, and you can follow its journey over land and sea with the help of an interactive map at IcarusTrip.fnal.gov (link is external), or on Facebook (link is external), Twitter (link is external) and Instagram (link is external) using the hashtag #IcarusTrip.

  7. Taos 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Qualified Census Tracts

    Data.gov (United States)

    Department of Housing and Urban Development — A Qualified Census Tract (QCT) is any census tract (or equivalent geographic area defined by the Census Bureau) in which at least 50% of households have an income...

  9. Healthy Ride Trip Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A dataset that shows trips taken using the Healthy Ride system by quarter. The dataset includes bike number, membership type, trip start and end timestamp, and...

  10. US Census Methodology

    Data.gov (United States)

    U.S. Department of Health & Human Services — U.S. Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates are based on the 2010 Census and reflect...

  11. Hawaii Census 2000 Blocks

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer represents Census 2000 demographic data derived from the PL94-171 redistricting files and SF3. Census geographic entities include blocks, blockgroups...

  12. US Census Methodology

    Data.gov (United States)

    U.S. Department of Health & Human Services — U.S. Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates are based on the 2010 Census and reflect...

  13. Hawaii Census 2000 Tracts

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer represents Census 2000 demographic data derived from the PL94-171 redistricting files and SF3. Census geographic entities include blocks, blockgroups...

  14. 2015 Census Blocks Geodatabase

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master...

  15. Recursive Model System for Trip Generation and Trip Chaining

    OpenAIRE

    Goulias, Konstadinos G.; KITAMURA, Ryuichi

    1991-01-01

    A model system is developed to describe both trip generation and trip chaining in a coherent manner. A recursive structure is adopted to represent the generation of trips for different purposes, and the number of trip chains is expressed as a function of the numbers of trips by purpose. The model system offers theoretically consistent coefficient values and quantifies the relationship between the number of trips and the number of trip chains, and can be used in the conventional forecasting pr...

  16. Trade, TRIPS, and pharmaceuticals.

    Science.gov (United States)

    Smith, Richard D; Correa, Carlos; Oh, Cecilia

    2009-02-21

    The World Trade Organization's Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) set global minimum standards for the protection of intellectual property, substantially increasing and expanding intellectual-property rights, and generated clear gains for the pharmaceutical industry and the developed world. The question of whether TRIPS generates gains for developing countries, in the form of increased exports, is addressed in this paper through consideration of the importance of pharmaceuticals in health-care trade, outlining the essential requirements, implications, and issues related to TRIPS, and TRIPS-plus, in which increased restrictions are imposed as part of bilateral free-trade agreements. TRIPS has not generated substantial gains for developing countries, but has further increased pharmaceutical trade in developed countries. The unequal trade between developed and developing countries (ie, exporting and importing high-value patented drugs, respectively) raises the issue of access to medicines, which is exacerbated by TRIPS-plus provisions, although many countries have not even enacted provision for TRIPS flexibilities. Therefore this paper focuses on options that are available to the health community for negotiation to their advantage under TRIPS, and within the presence of TRIPS-plus.

  17. Cotton Trip in China

    Institute of Scientific and Technical Information of China (English)

    Wang Ting

    2010-01-01

    @@ During their trip in Beijing,the leadership delegation members,Charles Parker,Harrison Ashley(Vice President of NCC Ginner Services),along with Karin Malmstrom(China Director of CCI)shared a time to accept the interview,giving a general introduction about their China trip and the cotton industry in USA.

  18. A Biomes Field Trip.

    Science.gov (United States)

    Leonard, William H.; And Others

    1983-01-01

    Describes a field trip designed to give students opportunities to experience relevant data leading to concepts in biogeography. Suggests that teachers (including college instructors) adapt the areas studied and procedures used to their own locations. Includes a suggested field trip handout. (JN)

  19. A Biomes Field Trip.

    Science.gov (United States)

    Leonard, William H.; And Others

    1983-01-01

    Describes a field trip designed to give students opportunities to experience relevant data leading to concepts in biogeography. Suggests that teachers (including college instructors) adapt the areas studied and procedures used to their own locations. Includes a suggested field trip handout. (JN)

  20. Field Trip Fundamentals

    Science.gov (United States)

    Wilson, Margaret

    2011-01-01

    In this article, the author discusses how to prepare for and conduct a safe and worry-free educational experience. She shares a few tips that will ensure field trips will be fun, safe, engaging, and productive. She stresses that with proper planning, field trips can be unique ways to explore the world with students.

  1. Consensus on the Census

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    China will conduct its second national economic census in 2008 in order to collect accurate data for its rational policy formation.The census aims to gather information on the layout and energy consumption of all industrial and service entities in 2008.The results will facilitate more effective macroeconomic controls and more rational mid-and long-term economic planning,according to the State Council.Spokesman of the National Bureau of Statistics,the organizer of the census,answered several questions about the census on its website.The following is an excerpt from that tran- script:

  2. Eddy County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  3. Otero County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Curry County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. Roosevelt County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. Chaves County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. Socorro County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Lea County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Hidalgo County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Otero County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Guadalupe County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. Harding County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Chaves County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Bernalillo County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Cibola County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Cibola County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Valencia County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  18. Sandoval County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  19. Lincoln County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  20. Valencia County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  1. Lea County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Roosevelt County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  3. Quay County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Hidalgo County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. Eddy County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. Luna County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. Grant County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Catron County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Grant County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Mora County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Guadalupe County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. Quay County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Sandoval County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Catron County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Socorro County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Curry County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Torrance County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  18. 1990 Census Urban Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, for New Mexico. This shapefile is an updated version of the...

  19. 1980 Census Tracts (TIGER)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  20. Waterbird Census Summary 1997

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A census of all known wetland area large enough to have any waterbird use was commenced at Patuxent Research Refuge in the fall of 1996. This report is a compilation...

  1. Census_sum_15

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The GIS layer "Census_sum_15" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra...

  2. MA Common Tern Census

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The official State census period for common terns was June 1-10. The survey was conducted on June 4 by Biologist Healey, Biotech Springfield, and Maintenance...

  3. Guam Commercial Purchases (Trip Ticket)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — DAWR collects Trip Ticket or purchase invoice data from vendors that buy fish directly from the fishermen. Similar to the trip ticket system in Saipan, this is a...

  4. Administration Trip Books

    Science.gov (United States)

    2007-11-02

    Plan. (h) Army Community of Excellence. (i) Child development services. k. The Assistant Secretary of the Army for Manpower and Reserve Affairs ( ASAM ...RA) will — (1) Provide information as requested when the information falls under the purview of the ASAM &RA. (2) Provide recurring trip book

  5. Waterbird Census Summary 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This was the third full year of intensive surveys of most of the wetland areas on the Refuge. No new areas were added to the census in 1999. The inventory now covers...

  6. CDC WONDER: Population (from Census)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for...

  7. CDC WONDER: Population (from Census)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains county-level population counts for years 1970 -...

  8. Hawaii Census 2000 Block Groups

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data layer represents Census 2000 demographic data derived from the PL94-171 redistricting files and SF3. Census geographic entities include blocks, blockgroups...

  9. Census Bureau Regional Office Boundaries

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau has six regional offices to facilitate data collection, data dissemination and geographic operations within their boundary. The surveys these...

  10. DemoCensus_BLCK2000

    Data.gov (United States)

    Vermont Center for Geographic Information — DemoCensus_BLCK2000 includes Census 2000 Block boundaries and SF1 attributes. The data was downloaded (http://arcdata.esri.com/data/tiger2000/tiger_download.cfm) by...

  11. The Twelve Hotel, Barna : Video

    OpenAIRE

    Irish Food Channel

    2014-01-01

    Fergus O'Halloran, Managing Director of The Twelve Hotel in Barna in County Galway, talks about his philosophy in running this unique boutique hotel. Reproduced with kind permission from John & Sally McKenna. 3.35 mins

  12. Data Processing Procedures and Methodology for Estimating Trip Distances for the 1995 American Travel Survey (ATS)

    Energy Technology Data Exchange (ETDEWEB)

    Hwang, H.-L.; Rollow, J.

    2000-05-01

    The 1995 American Travel Survey (ATS) collected information from approximately 80,000 U.S. households about their long distance travel (one-way trips of 100 miles or more) during the year of 1995. It is the most comprehensive survey of where, why, and how U.S. residents travel since 1977. ATS is a joint effort by the U.S. Department of Transportation (DOT) Bureau of Transportation Statistics (BTS) and the U.S. Department of Commerce Bureau of Census (Census); BTS provided the funding and supervision of the project, and Census selected the samples, conducted interviews, and processed the data. This report documents the technical support for the ATS provided by the Center for Transportation Analysis (CTA) in Oak Ridge National Laboratory (ORNL), which included the estimation of trip distances as well as data quality editing and checking of variables required for the distance calculations.

  13. A Field Trip

    Institute of Scientific and Technical Information of China (English)

    朱欢欢

    2012-01-01

    Today is Sunday. My father and I go on a field trip to the Wolf Mountain. There is a jungle(丛林) at the Wolf Mountain. We go into the jungle and see many trees, flowers and stones. In the trees, the squirrels(松鼠) are jumping. The butterflies are dancing over the flowers.%这个周末怎么过?外出效游很不错。若问郊游何处去,这个嘛,就请朱欢欢同学来告诉我们吧。

  14. Region 9 Census Block 2010

    Science.gov (United States)

    Geography:The TIGER Line Files are feature classes and related database files (.) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by non visible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up t

  15. 30 CFR 57.14162 - Trip lights.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Trip lights. 57.14162 Section 57.14162 Mineral... Devices and Maintenance Requirements § 57.14162 Trip lights. On underground rail haulage, trip lights shall be used on the rear of pulled trips and on the front of pushed trips. Safety Practices and...

  16. Roofmijten tegen trips in roos

    NARCIS (Netherlands)

    Pijnakker, J.; Leman, A.

    2012-01-01

    De californische trips Frankliniella occidentalis (Pergande) van de familie van de Thripidae komt oorspronkelijk uit de westkust van Californië (Bryan & Smith, 1956). Haar introductie in Europa dateert van 1984. In de glastuinbouw is californische trips, één van de belangrijkste plagen. Ze vormt

  17. Field Trips: How and Why.

    Science.gov (United States)

    Manion, Smedley C.

    1982-01-01

    Discusses the planning and preparation necessary to make field trips economically justifiable and educationally worthwhile. Student orientations and positive motivation are essential for successful fieldtrips. A description of a well-planned field trip to Rockport, Massachusetts, for a high school portfolio art class is included. (AM)

  18. 78 FR 57128 - Census Advisory Committees; Meetings

    Science.gov (United States)

    2013-09-17

    ... Census Bureau Census Advisory Committees; Meetings AGENCY: Bureau of the Census, Department of Commerce. ACTION: Notice of public meeting. SUMMARY: The Bureau of the Census (Census Bureau) is giving notice of a meeting, the National Advisory Committee on Racial, Ethnic, and Other Populations (NAC). The...

  19. TRIP illumines lightning

    Science.gov (United States)

    Hill, R. D.

    It is 8 yr since important measurements of lightning in single-cell thunderstorms were made during the Thunderstorm Research International Project (TRIP), yet no theoretical interpretation of the lightning generation mechanism from the data has been made. This tardiness in interpreting the data is undoubtedly related to the existing confusion in lightning generation theories.According to Chalmers [1967], there are two classes of thunderstorm charge separation theories: those that rely on gravitation and those that do not involve gravitation. In the gravitational class, Chalmers again distinguished two types of processes: those in which ions are naturally generated (e.g., by cosmic rays, etc.) and are then attached to particles in the cloud and those in which some process (e.g., collision, coagulation, etc.) generates positive and negatively charged particles from neutrals in the cloud. Some of these two process types, cited in Chalmers' work, are given in Table 1, together with some of the scientists who originally proposed these processes.

  20. Dona Ana County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  1. Curry County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Luna County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  3. Sierra County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Grant County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. Eddy County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. San Miguel County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. Los Alamos County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Rio Arriba County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. De Baca County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. De Baca County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. San Juan County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. McKinley County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. De Baca County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Torrance County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Santa Fe County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Mora County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Santa Fe County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  18. Valencia County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  19. McKinley County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  20. Cibola County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  1. Lea County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Rio Arriba County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  3. Lincoln County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Sandoval County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. 2000 Census Urban Areas and Clusters

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. Chaves County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. San Juan County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Los Alamos County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Dona Ana County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Otero County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Taos County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. Rio Arriba County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Bernalillo County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Catron County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Colfax County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Trip report Rainwater Basin Nebraska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report is a summary a trip to Rainwater Basin Wetland Management District in 1991, and focuses on the hydrology and soil habitat types. It is part of the...

  17. CNMI Commercial Purchases (Trip Ticket)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Commonwealth of Northern Mariana Islands (CNMI), Division of Fish and Wildlife (DFW) collects 'Trip Ticket' or purchase invoice data from vendors that buy fish...

  18. Make My Trip Count 2015

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Make My Trip Count (MMTC) commuter survey, conducted in September and October 2015 by GBA, the Pittsburgh 2030 District, and 10 other regional transportation...

  19. Italy of censuses.

    Science.gov (United States)

    Rey, G M

    1983-06-01

    To supplement census data on Italy's economy, Istat conducted a sample survey of 2% of households. This paper reports survey findings in 3 areas: age structure of the population, employment and unemployment patterns by region, and structure of the productive system. Those over age 65 years have increased from 11% of the population in 1971 to 13% in 1981 and are forecast to constitute 14.5% in 1991. Women accounted for 51.3% of the total population in 1981 but 58.5% of those over age 65. 12% of households have a member over age 75. The 0-14 year age group has declined from 24.4% of the population in 1971 to 21.5% in 1981 and is projected to comprise 17.4% in 1991. The labor force activity rate was 39.8% in 1981. Unemployment was set at 14.7% in the census sample compared with 9.1% in Istat's quarterly survey of the labor force. 60% of the difference between these 2 figures was accounted for by Campania, Sicily, Puglia, Calabria, and Latium. These 5 regions, which account for only 30% of total employment, are the areas with the most acute employment problems and highest proportions of casual employment in agriculture and traditional services. Agriculture accounted for 22% of total unemployment, construction for 18.5%, and traditional industry for 14%--percentages that are higher than the share of total employment represented by these sectors. In the South, 20.4% of employment is in agriculture, 18.1% in industry, 12.6% in construction, and 48.9% in services. The average worker in the South supports 3.3 persons compared with 2.5 persons in the North. Survey results indicate a substantial shift in the sectoral composition of employment as well as a change in the size of productive units. There has been an increase in the highly specialized components of the economy, including services to firms. The average size of factories has declined, with a proliferation of small and medium sized units. These findings suggest a need to broaden and deepen Italy's industrial base

  20. Census 2000 Places (cen00pl02)

    Data.gov (United States)

    California Department of Resources — Census 2000 Place Names provides a seamless statewide GIS layer of places, including census designated places (CDP), consolidated cities, and incorporated places,...

  1. New Mexico, 2010 Census Census Tract State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Annual California Sea Otter Census: 2017 Census Summary Shapefile

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The GIS shapefile "Census summary of southern sea otter 2017" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the...

  3. Harding County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  4. Unified School Districts, Census 2000

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The New Mexico 2000 Unified School Districts layer was derived from the TIGER Line files from the US Census Bureau. The districts are clipped to the state...

  5. Chaves County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Luna County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Grant County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Hidalgo County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  9. Tortugas Reef Fish Census (CRCP)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a long term data set collecting visual census transect data on reef fishes at staions located at Rileys Hump, Tortugas South Ecological Reservee.

  10. Taos County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Colfax County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Otero County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Torrance County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Chaves County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Cibola County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Mora County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Guadalupe County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Quay County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Sandoval County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Sierra County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Roosevelt County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Hidalgo County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Taos County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Valencia County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Curry County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Socorro County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Catron County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Lincoln County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Lea County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Grant County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Harding County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Luna County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Luna County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Mora County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  15. Torrance County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Cibola County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Roosevelt County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Lincoln County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Sandoval County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Lea County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Mora County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Hidalgo County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Cibola County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Eddy County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Union County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Bernalillo County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Bernalillo County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Hidalgo County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Union County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  10. Lincoln County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  11. Socorro County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Torrance County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Guadalupe County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Curry County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Colfax County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Harding County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Eddy County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  18. Union County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Hidalgo County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  20. New Mexico, 2010 Census Place

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Roosevelt County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Sierra County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Valencia County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Cibola County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Catron County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Bernalillo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Colfax County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Harding County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Quay County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Taos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Mora County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Union County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Lea County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Chaves County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Luna County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Otero County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Torrance County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Socorro County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Eddy County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Hidalgo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Lincoln County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Grant County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Curry County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Guadalupe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Sandoval County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Colfax County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Sierra County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Otero County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Grant County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Taos County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Eddy County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Quay County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Mora County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Union County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Valencia County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Curry County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Lea County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Chaves County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  19. Eddy County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  20. Otero County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  1. Chaves County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Allegheny County Jail Daily Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A daily census of the inmates at the Allegheny County Jail (ACJ). Includes gender, race, age at booking, and current age. The records for each month contain a...

  3. Socorro County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Trip Generation Model Based on Destination Attractiveness

    Institute of Scientific and Technical Information of China (English)

    YAO Liya; GUAN Hongzhi; YAN Hai

    2008-01-01

    Traditional trip generation forecasting methods use unified average trip generation rates to determine trip generation volumes in various traffic zones without considering the individual characteristics of each traffic zone.Therefore,the results can have significant errors.To reduce the forecasting error produced by uniform trip generation rates for different traffic zones,the behavior of each traveler was studied instead of the characteristics of the traffic zone.This paper gives a method for calculating the trip efficiency and the effect of traffic zones combined with a destination selection model based on disaggregate theory for trip generation.Beijing data is used with the trip generation method to predict trip volumes.The results show that the disaggregate model in this paper is more accurate than the traditional method.An analysis of the factors influencing traveler behavior and destination selection shows that the attractiveness of the traffic zone strongly affects the trip generation volume.

  5. The Undercount in the 2000 Census. A Kids Count/PRB Report on Census 2000.

    Science.gov (United States)

    Edmonston, Barry

    Every 10 years, the national census describes the number of U.S. residents and their characteristics. This decennial census, however, is subject to error. This report summarizes what is known about census undercount and methods used to adjust census data, emphasizing the undercount of children and minorities. The Census Bureau reported that more…

  6. SLD Trip Report

    Energy Technology Data Exchange (ETDEWEB)

    Mulholland, G.T.; /Fermilab

    1990-04-13

    The author visited the facility to gain an insight in the experience of the LAr filling of the SLD Barrel and North End Cap, and the cooldown of the South End Cap. Cryogenic commissioning began mid-September, 1989, and continued to Cooldown, January 3, 1990. Cryogenic commissioning followed the construction and installation of the piping. The checkout was serial and problems found 'as we were going along'. There was a clear message to work in parallel and certify subsystems in advance of their need. Typical problems were VJ line external bellows and ball valves that were not He leak tight. The early preparations concentrated on the relief (singular) of the LAr 100,000 I dewar (sound familiar?). About one month was lost to the refurbishing of valves. After commissioning the dewar they accepted four LAr transfers for a total of 15,000 gallons, each in the range of 0.4-0.6 ppm O{sub 2} measurement with equipment accurate to +/- 0.1 ppm. As I watched, tests were concluding that qualified the Barrel calorimeter as having LAr with 0.6 +/- 0.1 ppm O{sub 2} to the delight of those making the measurement. There was real satisfaction in the recent HV measurement that only 55 of 40,000 channels had shorts. The ratio is essentially that predicted from the early module testing experience and another reason to celebrate. Twelve of the twenty-four Barrel feedthroughs flanges (one end, total is forty-eight) had been fitted with Pre-Amps and that installation seemed to be going very well. There are hermetic feedthroughs at the PV wall, a length of manganin wire in the vacuum space to a warm hermetic feedthrough flange that is double 'O' ring sealed in the vacuum vessel closure plate. The Pre-Amps mount directly to the atmospheric side of these feedthrough flanges. The instrumentation is 'Bare Bones'. There was a need for flow meters when concerns for cooling loop flows arose and it would have been very helpful to be able to measure the flow in the

  7. 41 CFR 301-71.106 - Who must sign a trip-by-trip authorization?

    Science.gov (United States)

    2010-07-01

    ... 41 Public Contracts and Property Management 4 2010-07-01 2010-07-01 false Who must sign a trip-by-trip authorization? 301-71.106 Section 301-71.106 Public Contracts and Property Management Federal... ACCOUNTABILITY REQUIREMENTS Travel Authorization § 301-71.106 Who must sign a trip-by-trip authorization? The...

  8. 49 CFR 236.834 - Trip.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Trip. 236.834 Section 236.834 Transportation Other... OF SIGNAL AND TRAIN CONTROL SYSTEMS, DEVICES, AND APPLIANCES Definitions § 236.834 Trip. A movement... territory between the terminals for that locomotive; a movement in one direction. Cross Reference: Trip-arm...

  9. 45 CFR 1310.20 - Trip routing.

    Science.gov (United States)

    2010-10-01

    ... 45 Public Welfare 4 2010-10-01 2010-10-01 false Trip routing. 1310.20 Section 1310.20 Public... PROGRAM HEAD START TRANSPORTATION Special Requirements § 1310.20 Trip routing. (a) Each agency providing... the primary consideration. (b) The agency must also ensure that the following basic principles of trip...

  10. 1980 Census Subcounty Areas (TIGER)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software was ARC/INFO 7.0.3.

  11. New Mexico Urban Areas - 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  12. VT 1990 Census Tract Boundaries and Statistics

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The 1990 Census TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's TIGER (Topologically...

  13. 2012 deer census data : final totals

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Final data from the 2012 deer census survey at Rocky Mountain Arsenal National Wildlife Refuge. A combination of census techniques was selected including Mobile...

  14. Transanal rectopexy - twelve case studies

    Directory of Open Access Journals (Sweden)

    Rubens Henrique Oleques Fernandes

    2012-06-01

    Full Text Available OBJECTIVES: This study analyzed the results of transanal rectopexy and showed the benefits of this surgical technique. METHOD: Twelve patients were submitted to rectopexy between 1997 and 2011. The surgical technique used was transanal rectopexy, where the mesorectum was fixed to the sacrum with nonabsorbable suture. Three patients had been submitted to previous surgery, two by the Delorme technique and one by the Thiersch technique. RESULTS: Postoperative hospital stay ranged from 1 to 4 days. One patient (8.3% had intraoperative hematoma, which was treated with local compression and antibiotics. One patient (8.3% had residual mucosal prolapse, which was resected. Prolapse recurrence was seen in one case (8.3%. Improved incontinence occurred in 75% of patients and one patient reported obstructed evacuation in the first month after surgery. No death occurred. CONCLUSION: Transanal rectopexy is a simple, low cost technique, which has shown good efficacy in rectal prolapse control.OBJETIVO: O presente estudo analisou os resultados da retopexia pela via transanal e expôs os benefícios desta técnica cirúrgica. MÉTODO: Doze pacientes com prolapso foram operados no período de 1997 a 2011. A técnica cirúrgica usada foi a retopexia transanal, onde o mesorreto foi fixado ao sacro com fio inabsorvível. Três pacientes tinham cirurgia prévia, dois pela técnica de Delorme e um pela técnica de Thiersch. RESULTADOS: A permanência hospitalar pós-operatória variou de 1- 4 dias. Uma paciente (8,3% apresentou hematoma transoperatório que foi tratado com compressão local e antibioticoterapia. Um paciente apresentou prolapso mucoso residual (8,3%, que foi ressecado. Houve recidiva da procidência em um caso (8,3%. A melhora da incontinência ocorreu em 75% dos pacientes e uma paciente apresentou bloqueio evacuatório no primeiro mês após a cirurgia. Não houve mortalidade entre os pacientes operados. CONCLUSÃO: A retopexia transanal é uma t

  15. Recommendation system for trip planning

    OpenAIRE

    Hlupič, Marko

    2011-01-01

    The thesis describes a web application used for recommending tourist destinations and trip planning. Given that one location offers several tourist attractions and activities, the destination is divided into a location, containing only the name and the corresponding region, and the possible activity that could take place in that location. The users choose some activities and later on decide whether these locations met their expectations or not. The application is divided into two parts: the f...

  16. Virtual Field Geologic Trip System

    Institute of Scientific and Technical Information of China (English)

    Jian Wang; Linfu Xue; Xiaojun Zhou

    2003-01-01

    Virtual Field Geologic Trip System (VFGTS) constructed by the technique of visualization can efficiently present geologic field information and widely used in the field of geologic education. This paper introduces the developing thinking of VFGTS and discusses the main implement processes. Building VFGTS mainly includes systemically gathering of field geological data, the building of virtual geological world, and displaying of virtual geologic world and human-computer interaction.

  17. 78 FR 12033 - Census Advisory Committees

    Science.gov (United States)

    2013-02-21

    ... will address census policies, research and methodology, tests, operations, communications/messaging and other activities to ascertain needs and best practices to improve censuses, surveys, operations, and...:00 p.m. ADDRESSES: The meeting will be held at the U.S. Census Bureau, 4600 Silver Hill...

  18. Census in Schools Educator Update, March 2009

    Science.gov (United States)

    US Census Bureau, 2009

    2009-01-01

    The "Census in Schools Educator Update" is sent to educators and educational organizations periodically to keep them informed about current and upcoming census data and to provide ideas about how to use data in the classroom. This issue of the "Census in Schools Educator Update" newsletter focuses on the following topics: (1)…

  19. TRIP RATES FOR CONDOMINIUM CONSTRUCTION PROJECT

    Directory of Open Access Journals (Sweden)

    Wirach Hirun

    2015-01-01

    Full Text Available The number of large scale condominium construction projects had dramatically increased in Bangkok. Many projects had occurred in either densely populated areas or in central business districts, where traffic conditions were usually highly congested. To prevent traffic problems, a traffic impact study must be prepared and submitted for review by concerned public authorities. Unit trip generation rates were important data in traffic impact analysis. Without accurate unit trip generation rates, public agencies could not obtain accurate information on the traffic that will be generated. This study aimed to study trip rates and the factors affecting them for condominium construction project in Bangkok. The data were collected from 30 condominium construction sites located in 15 districts of Bangkok. The analysis used the linear regression method and was divided into three cases: 1 trip rates for all vehicles, 2 trip rates for classified vehicles, and 3 trip rates for all types of condominium. All case analyses considered weekdays, Saturday, and Sunday. The results found that trip rates related to the number of dwellings in the condominium. The trip rates for all vehicle types on weekdays, Saturday, and Sunday were 10.636, 4.647, and 9.294 vehicles per 100 dwelling units per day respectively. The trip rates for six-wheeled and ten-wheeled trucks on weekdays, Saturday, and Sunday were 2.046, 0.975, and 0.575 vehicles per 100 dwelling units per day respectively. The trip rate for four-wheeled trucks and passenger cars on weekdays was 1.960. Regarding condominium types, the trip rate for low rise condominiums for all vehicle types on weekdays was 5.315 while the trip rates for high rise condominiums for weekdays, Saturday, and Sunday were 3.965, 2.667, and 1.261 respectively.

  20. 50 CFR 622.44 - Commercial trip limits.

    Science.gov (United States)

    2010-10-01

    ... 50 Wildlife and Fisheries 8 2010-10-01 2010-10-01 false Commercial trip limits. 622.44 Section 622... § 622.44 Commercial trip limits. Commercial trip limits are limits on the amount of the applicable... fishes in the EEZ may not combine a trip limit specified in this section with any trip or possession...

  1. Algorithms for reengineering 1991 census geography.

    Science.gov (United States)

    Openshaw, S; Rao, L

    1995-03-01

    "The availability of GIS [geographic information systems] technology and digital boundaries of census output areas now makes it possible for users to design their own census geography. Three algorithms are described that can be used for this purpose. An Arc/Info implementation is briefly outlined and case studies presented to demonstrate some of the results of explicitly designing zoning systems for use with 1991 [U.K.] census data."

  2. Demographic Data - CENSUS_TRACTS_TIGER2011_IN: Census Tract Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census tract boundaries for the state of Indiana. Census tracts are not legal boundaries,...

  3. Demographic Data - Census_Tracts_TIGER00_IN: Indiana Census Tracts 2000 (U.S. Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_Tracts_TIGER00_IN contains locations for all Indiana tracts identified by the US Bureau of the Census. Data is from U.S. Department of Commerce, U.S. Census...

  4. Demographic Data - Census_County_TIGER00_IN: Indiana Counties Census Data 2000 (Derived from U.S. Census Bureau, 1:24,000 Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_County_TIGER00_IN contains locations for all Indiana counties and contains census data for each county. Data is from U.S. Department of Commerce, U.S. Census...

  5. Demographic Data - CENSUS_BLOCKGROUPS_TIGER2011_IN: Census Block Group Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_BLOCKGROUPS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block group boundaries for the state of Indiana. Census block groups are not...

  6. Demographic Data - CENSUS_BLOCKS_TIGER2011_IN: Census Block Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block boundaries for the state of Indiana. Census blocks are not legal boundaries,...

  7. Reflections on a Trip: Two Decades Later

    Science.gov (United States)

    Davis-Berman, Jennifer; Berman, Dene

    2012-01-01

    This article reports on a longitudinal qualitative study that involves the interviews of four adults who participated in one of two 10-day wilderness therapy trips 25 years ago. Using qualitative data collection techniques, we conducted in-depth interviews. Respondents were asked to reflect on their lives, the wilderness therapy trip, and the…

  8. What? A Field Trip on the Playground?

    Science.gov (United States)

    Garbutt, Barb

    1983-01-01

    THE FOLLOWING IS THE FULL TEXT OF THIS DOCUMENT: In this day and age of budget problems, school districts are cutting back on many programs, one of which is field trips. Why worry? There must be dozens of trips that can be made on the playground of your school. Let's look into activities that can be accomplished there. SOIL STUDIES: Have you ever…

  9. A model for TRIP steel constitutive behaviour

    NARCIS (Netherlands)

    Perdahcioglu, Emin Semih; Geijselaers, Hubertus J.M.; Menari, G

    2011-01-01

    A constitutive model is developed for TRIP steel. This is a steel which contains three or four different phases in its microstructure. One of the phases in TRIP steels is metastable austenite (Retained Austenite) which transforms to martensite upon deformation. The accompanying transformation strain

  10. Reflections on a Trip: Two Decades Later

    Science.gov (United States)

    Davis-Berman, Jennifer; Berman, Dene

    2012-01-01

    This article reports on a longitudinal qualitative study that involves the interviews of four adults who participated in one of two 10-day wilderness therapy trips 25 years ago. Using qualitative data collection techniques, we conducted in-depth interviews. Respondents were asked to reflect on their lives, the wilderness therapy trip, and the…

  11. Managing ICU throughput and understanding ICU census.

    Science.gov (United States)

    Howell, Michael D

    2011-12-01

    Traditionally, hospitals have coped with chronically high ICU census by building more ICU beds, but this strategy is unlikely to be tenable under future financial models. Therefore, ICUs need additional tools to manage census, inflow, and throughput. Higher ICU census, without compensatory surges in nursing capacity, is associated with several adverse effects on patients and providers, but its relationship to mortality is uncertain. Providers also discharge patients more aggressively during times of high census. Little's Law (L = λ W), a cornerstone of queuing theory, provides an eminently practical basis for managing ICU census and throughput. One target for improving throughput is minimizing process steps that are without value to the patient, e.g., waiting for a bed at ICU discharge. Larger gains in ICU throughput can be found in ICU quality improvement. For example, spontaneous breathing trials, daily wake-ups, and early physical/occupational therapy programmes are all likely to improve throughput by reducing ICU length of stay. The magnitude of these interventions' effects on ICU census can be startling. ICUs should actively manage throughput and census. Operations management tools such as Little's Law can provide practical guidance about the relationship between census, throughput, and patient demand. Standard ICU quality improvement techniques can meaningfully affect both ICU census and throughput.

  12. Optimization of Train Trip Package Operation Scheme

    Directory of Open Access Journals (Sweden)

    Lu Tong

    2015-01-01

    Full Text Available Train trip package transportation is an advanced form of railway freight transportation, realized by a specialized train which has fixed stations, fixed time, and fixed path. Train trip package transportation has lots of advantages, such as large volume, long distance, high speed, simple forms of organization, and high margin, so it has become the main way of railway freight transportation. This paper firstly analyzes the related factors of train trip package transportation from its organizational forms and characteristics. Then an optimization model for train trip package transportation is established to provide optimum operation schemes. The proposed model is solved by the genetic algorithm. At last, the paper tests the model on the basis of the data of 8 regions. The results show that the proposed method is feasible for solving operation scheme issues of train trip package.

  13. Census 2001: issues and perspectives.

    Science.gov (United States)

    1998-01-01

    This article discusses the Census of India for 2001 and gender issues such as the sex ratio, undercounts of girls, tribe and scheduled caste data, and the data users' conference. The April 1998 conference was attended by representatives of government planning and development departments, research institutions, and statisticians and researchers. Under consideration was a government Ministry of Welfare proposal to reintroduce, after a 60-year hiatus, data by scheduled caste and tribe. This issue is complicated by criteria that vary by state and includability. Quotas for backward classes in educational institutions, government jobs, and in decision-making bodies are the reason for designations by caste. Some groups are distressed because of lack of inclusion as backward classes. M.N. Srinivas strongly advises that counting by caste will create problems for enumerators and will result in lawsuits and violent disturbances. G. Shah argues that caste counts will not weaken the caste system nor expand their political power, but will intensify internal conflicts between the Dalit and Bahujan movements. One other issue is the reintroduction of the 1961 Household schedule which provides family composition by landholding size and household enterprise. Krishnaji advises that this data would help analyze sex ratio imbalances. In 1997, the Core Group examined gender equity issues and operational issues about increasing the scope without increasing costs. The Core Group recommended caste data at the district and sub-district level. Undercounting of the female work force is a continuing issue from the 1991 Census. Suggestions by the Core Group are indicated in brief.

  14. Mythematics Solving the Twelve Labors of Hercules

    CERN Document Server

    Huber, Michael

    2009-01-01

    How might Hercules, the most famous of the Greek heroes, have used mathematics to complete his astonishing Twelve Labors? From conquering the Nemean Lion and cleaning out the Augean Stables, to capturing the Erymanthean Boar and entering the Underworld to defeat the three-headed dog Cerberus, Hercules and his legend are the inspiration for this book of fun and original math puzzles. While Hercules relied on superhuman strength to accomplish the Twelve Labors, Mythematics shows how math could have helped during his quest. How does Hercules defeat the Lernean Hydra and stop its heads from multip

  15. New Mexico Census Tracts, Housing Tenure (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  16. New Mexico Census Tracts, Total Population (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  17. Beam trip diagnostic system at SSRF

    Institute of Scientific and Technical Information of China (English)

    HOU Hongtao; ZHAO Shenjie; LUO Chen; ZHAO Yubin; ZHANG Zhigang; FENG Ziqiang; MAO Dongqing; LIU Jianfei

    2009-01-01

    In this paper we report the design and realization of beam trip diagnostic system at Shanghai Synchrotron Radiation Facility (SSRF).The system can find out the first fault signal in the key operation signals related to the RF system by analyzing the time sequence,also it can decide which trips occurs first among the three superconducting RF stations.All the states of monitored signals in a time period ahead and behind beam trip are recorded.The results are compared with those from other diagnostic tools at SSRF.The work is of help in improving reliability of the superconducting RF system and stability of the storage ring operation.

  18. McKinley County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  19. Single-trip subsea completions

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, K.J.; Lorenzatto, R.A.; Rittershaussen, J.H.; Barreto, J.L.; Filho, E.L.

    1994-12-31

    Reliability of completion equipment and rig time are becoming more and more critical for subsea completions because of continually increasing water depths in which operators are being required to complete wells. In addition, completion designs must reflect the more stringent economic requirements of today`s oil and gas industry. This paper describes the use of a single-trip completion system that has been successfully and economically installed in the offshore Marimba and Bonito fields of South America. This new completion system has the capability to land the tubing hanger and install it in the wellhead before setting the packer and compensating for subsequent tubing movement. The new system also can employ pre-job calculations--based on initial well conditions and anticipated conditions during production--that help determine appropriate completion configurations and bottomhole equipment compatibility. Many failures in offshore wells, whether platform or subsea, can be attributed to inappropriate application of downhole completion tools or methods. Use of pre-job calculations during the equipment design stage can facilitate proper selection of design criteria and can help ensure operational safety and cost efficiency. The development of this new completion system is discussed in detail. Three case histories that document successful test completions is reviewed along with the economic gains and advantages that the reduction in rig time generated.

  20. Large Pelagic Logbook Trip Survey (Vessels)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains catch and effort for fishing trips that are taken by vessels with a Federal permit issued for the swordfish and sharks under the Highly...

  1. Lobster Processing and Sales Trip Report Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a federally mandated log which is required to be mailed in to NMFS after a fishing trip. This data set includes lobster processing and sales information...

  2. Trip report : Crescent Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This trip report is on a visit to Crescent Lake National Wildlife Refuge on September 20 and 21 2001. Wetlands inspected on the Moore Drainage included Martin,...

  3. Pre-Trip Notification Database (PTNS)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The PTNS contains pre-trip notification data from vessels participating in the Northeast Multispecies groundfish fishery from 2010 to present and the Longfin squid...

  4. Kotzebue and Cape Lisburne, 1985: Trip report

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This trip report summarizes the activities, results, and conclusions and recommendations of a visit to the Ann Stevens-Cape Lisburne sub-unit of the Alaska Maritime...

  5. How early reactions in the support limb contribute to balance recovery after tripping.

    Science.gov (United States)

    Pijnappels, Mirjam; Bobbert, Maarten F; van Dieën, Jaap H

    2005-03-01

    Tripping causes a forward angular momentum that has to be arrested to prevent a fall. The support limb, contralateral to the obstructed swing limb, can contribute to an adequate recovery by providing time and clearance for proper positioning of the recovery limb, and by restraining the angular momentum of the body during push-off. The present study investigated how such a contribution is achieved by the support limb in terms of response times and muscle moment generation, in order to provide more insight in the requirements for successful recovery after tripping. Twelve young adults repeatedly walked over a platform in which 21 obstacles were hidden. Each subject was tripped over one of these obstacles during mid-swing in at least five trials. Kinematics, dynamics and muscle activity were measured. Very rapid responses were seen in the muscles of the support limb (approximately 65 ms), causing fast increases in muscle moments in the joints during the primary phase of recovery. Especially a large ankle plantar flexion moment (204 Nm), a knee flexion moment (-54 Nm) and a hip extension moment (52 Nm), generated by triceps surae and hamstring muscle activity, brought about the necessary push-off reaction and simultaneously caused a restraining of the forward angular momentum of the body. These required joint moments could be a problem for the elderly, who might not be able to generate such powerful moments. Strength training in these muscle groups may be indicated in elderly subjects to reduce the risk of falling after a trip.

  6. TRIP RATES FOR CONDOMINIUM CONSTRUCTION PROJECT

    OpenAIRE

    Wirach Hirun

    2015-01-01

    The number of large scale condominium construction projects had dramatically increased in Bangkok. Many projects had occurred in either densely populated areas or in central business districts, where traffic conditions were usually highly congested. To prevent traffic problems, a traffic impact study must be prepared and submitted for review by concerned public authorities. Unit trip generation rates were important data in traffic impact analysis. Without accurate unit trip generation rates, ...

  7. Field Trips as Valuable Learning Experiences in Geography Courses

    Science.gov (United States)

    Krakowka, Amy Richmond

    2012-01-01

    Field trips have been acknowledged as valuable learning experiences in geography. This article uses Kolb's (1984) experiential learning model to discuss how students learn and how field trips can help enhance learning. Using Kolb's experiential learning theory as a guide in the design of field trips helps ensure that field trips contribute to…

  8. 28 CFR 570.45 - Violation of escorted trip.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Violation of escorted trip. 570.45... RELEASE COMMUNITY PROGRAMS Escorted Trips § 570.45 Violation of escorted trip. (a) Staff shall process as an escapee an inmate who absconds from an escorted trip. (b) Staff may take disciplinary action...

  9. Field Trip - Conservation of Carnivores in Namibia

    Science.gov (United States)

    Gibson, Amanda

    2017-04-01

    Field trips are a key component of our curriculum at ISWB. Classroom teaching is invaluable but field trips provide pupils with a tangible connection to pertinent issues of conservation. ISWB realises the importance of out of the classroom learning in field trips and to this end our students have an opportunity to partake in a number of 3-5 day field trips per academic year. In 2016, several Year 8, 9, 10, 11 and 12 students visited the AfriCat Foundation on Okonjima in central Namibia for 4 days to learn about the conservation of the predator population in Namibia. The trips were very successful and another trip this year to AfriCat North close to Etosha National Park, where the students will work closely with the local farming communities, is planned. AfriCat provides Environmental Education programmes for the youth of Namibia giving them a greater understanding of the importance of wildlife conservation. Their main objective is promoting predator and environmental awareness amongst the youth of Namibia. AfriCat Environmental Education Programme is based on 1997 UNESCO-UNEP Environmental Education objectives. "Attitudes: To raise concern about problems, values, personal responsibility and willingness to participate/act. In the end, we conserve only what we love. We will love only what we understand. We will understand only what we are taught."

  10. A census of abyssal polychaetes

    Science.gov (United States)

    Paterson, Gordon L. J.; Glover, Adrian G.; Barrio Froján, Christopher R. S.; Whitaker, Amoret; Budaeva, Nataliya; Chimonides, Jim; Doner, Stacy

    2009-09-01

    As part of the Census of Marine Life's programme of summarising existing knowledge of the oceans, records of all polychaete species collected below 2000 m have been collated from the literature. A total of 3633 records was assembled into a database, revealing that 768 species, 358 of which were new to science, have been reported from the deep sea over the past 200 years. The limitations of the dataset are also discussed. Most of the records were obtained from between 2000 m, the upper depth range of the study, and 4000 m. Analyses of the distribution of records with time reveals that the majority of records were added in the 1960s to early 1980s, coincidental with the introduction of new collecting technologies. However, following this period there was a gap between the collecting of samples and the publication of taxonomic results. To reduce this time lag we are encouraging the use of the world-wide web with new tools and protocols to bring together taxonomists working on different sample sets and allow them to share and compare taxonomic data. As this is the first collation of abyssal polychaetes, the records were analysed to determine whether there is a distinct hadal fauna and whether the fauna of individual trenches was distinctive or a subset of the abyssal plain fauna. The results suggest that the hadal fauna contains few endemic species and that the majority are elements of the abyssal fauna that have extended their bathymetric range.

  11. Population bases and the 2011 Census.

    Science.gov (United States)

    Smallwood, Steve

    2011-01-01

    In an increasingly complex society there are a number of different population definitions that can be relevant for users, beyond the standard definition used in counting the population. This article describes the enumeration base for the 2011 Census and how alternative population outputs may be produced. It provides a background as to how the questions on the questionnaire were decided upon and how population bases can be constructed from the Census. Similarities and differences between the information collected across the three UK Censuses (England and Wales, Scotland and Northern Ireland) are discussed. Finally, issues around estimating the population on alternative bases are presented.

  12. Analysis of electric vehicle's trip cost without late arrival

    Science.gov (United States)

    Leng, Jun-Qiang; Zhao, Lin

    2017-03-01

    In this paper, we use a car-following model to study each electric vehicle's trip cost and the corresponding total trip cost without late arrival. The numerical result show that the electricity cost has significant effects on each electric vehicle's trip cost and the corresponding total trip costs and that the effects are dependent on its time headway at the origin, but the electricity cost has no prominent effects on the minimum value of the system's total trip cost.

  13. Comparative analysis of twelve Dothideomycete plant pathogens

    Energy Technology Data Exchange (ETDEWEB)

    Ohm, Robin; Aerts, Andrea; Salamov, Asaf; Goodwin, Stephen B.; Grigoriev, Igor

    2011-03-11

    The Dothideomycetes are one of the largest and most diverse groups of fungi. Many are plant pathogens and pose a serious threat to agricultural crops grown for biofuel, food or feed. Most Dothideomycetes have only a single host and related Dothideomycete species can have very diverse host plants. Twelve Dothideomycete genomes have currently been sequenced by the Joint Genome Institute and other sequencing centers. They can be accessed via Mycocosm which has tools for comparative analysis

  14. Rio Arriba County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. San Juan County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  16. San Juan County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Los Alamos County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  18. San Juan County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  19. Taos County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Luna County 1990 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  1. Lincoln County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Santa Fe County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  3. New Mexico, 2010 Census American Indian

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. San Miguel County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. San Juan County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. De Baca County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Rio Arriba County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Santa Fe County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. McKinley County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. A global census of marine microbes

    Digital Repository Service at National Institute of Oceanography (India)

    Amaral-Zettler, L.; Artigas, L.F.; Baross, J.; LokaBharathi, P.A; Boetius, A; Chandramohan, D.; Herndl, G.; Kogure, K.; Neal, P.; Pedros-Alio, C.; Ramette, A; Schouten, S.; Stal, L.; Thessen, A; De Leeuw, J.; Sogin, M.

    In this chapter we provide a brief history of what is known about marine microbial diversity, summarize our achievements in performing a global census of marine microbes, and reflect on the questions and priorities for the future of the marine...

  11. Dona Ana County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  12. Dona Ana County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  13. San Juan County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Rio Arriba County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. McKinley County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. San Miguel County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Region 9 2010 Census Web Service

    Data.gov (United States)

    U.S. Environmental Protection Agency — This web service displays data collected during the 2010 U.S. Census. The data are organized into layers representing Tract, Block, and Block Group visualizations....

  18. Santa Fe County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. McKinley County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Los Alamos County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Dona Ana County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Eddy County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Lea County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Cibola County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. De Baca County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Dona Ana County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Santa Fe County 1990 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  8. Valencia County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Communication support for first Afghan census.

    Science.gov (United States)

    Assifi, N; Murty, D V

    1979-01-01

    An intensive communciations program is preceding the national census in Afghanistan. The census, scheduled for 20 days in June 1979, is being publicized and explained by a special communication unit under the Central Statistical Office. Approximately 1 million teachers and students are being enlisted to explain census objectives. 10,000 enumerators will be teachers. Banners, posters, literature, exhibition boards, logo stickers, and flip chart shows given by mobile units are supplemented with radio messages. In a traditional society like Afghanistan interpersonal communciation with village leaders is the best way to recruit cooperation. Provincial field communicators have been trained for this purpose, and village leaders will be recruited to explain radio broadcasts. The census results will be segmented for different audiences and highlights will be made available to various government departments. The entire campaign may serve as a model for other countries.

  10. Los Alamos County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Colfax County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. San Miguel County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Chaves County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Luna County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Torrance County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Socorro County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Otero County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Curry County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Mora County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Harding County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Union County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Guadalupe County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Sierra County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Roosevelt County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Rio Arriba County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Sandoval County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Santa Fe County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Grant County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Quay County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Demographic Data - MO 2000 Census Geography (PDF)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Each county directory on the MSDIS FTP site has the official census tract & voting district outline maps in Adobe Acrobat (.pdf) format. These are stored in the...

  11. De Baca County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Dona Ana County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. San Miguel County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. VT 2010 Census Tract Boundaries and Statistics

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) TRACT2010 contains a subset of attributes from Summary File 1 of the 2010 Decennial Census. The TIGER/Line Files are shapefiles and related...

  15. Los Alamos County 1990 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  16. Census summary of southern sea otter 2016

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The GIS shapefile "Census summary of southern sea otter 2016" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the...

  17. Catron County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Dona Ana County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. McKinley County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. New Mexico County Boundaries (2010 Census)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Los Alamos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. San Juan County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Rio Arriba County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Santa Fe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. San Miguel County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. De Baca County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Hidalgo County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Bernalillo County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Los Alamos County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Los Alamos County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Eddy County 1990 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  12. 75 FR 16078 - Census Scientific Advisory Committee

    Science.gov (United States)

    2010-03-31

    ... held at Hilton Crystal City Hotel, 2399 Jefferson Davis Highway, Arlington, Virginia 22202. FOR FURTHER INFORMATION CONTACT: Jeri Green, Committee Liaison Officer, Department of Commerce, U.S. Census Bureau, Room...

  13. Dona Ana County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Cost-Benefit Analysis for a Quinquennial Census: The 2016 Population Census of South Africa

    Directory of Open Access Journals (Sweden)

    Spencer Bruce D.

    2017-03-01

    Full Text Available The question of whether to carry out a quinquennial Census is faced by national statistical offices in increasingly many countries, including Canada, Nigeria, Ireland, Australia, and South Africa. We describe uses and limitations of cost-benefit analysis in this decision problem in the case of the 2016 Census of South Africa. The government of South Africa needed to decide whether to conduct a 2016 Census or to rely on increasingly inaccurate postcensal estimates accounting for births, deaths, and migration since the previous (2011 Census. The cost-benefit analysis compared predicted costs of the 2016 Census to the benefits of improved allocation of intergovernmental revenue, which was considered by the government to be a critical use of the 2016 Census, although not the only important benefit. Without the 2016 Census, allocations would be based on population estimates. Accuracy of the postcensal estimates was estimated from the performance of past estimates, and the hypothetical expected reduction in errors in allocation due to the 2016 Census was estimated. A loss function was introduced to quantify the improvement in allocation. With this evidence, the government was able to decide not to conduct the 2016 Census, but instead to improve data and capacity for producing post-censal estimates.

  15. Twelve tips for peer observation of teaching.

    Science.gov (United States)

    Siddiqui, Zarrin Seema; Jonas-Dwyer, Diana; Carr, Sandra E

    2007-05-01

    This paper outlines twelve tips for undertaking peer observation of teaching in medical education, using the peer review model and the experiences of the authors. An accurate understanding of teaching effectiveness is required by individuals, medical schools, and universities to evaluate the learning environment and to substantiate academic and institutional performance. Peer Observation of Teaching is one tool that provides rich, qualitative evidence for teachers, quite different from closed-ended student evaluations. When Peer Observation of Teaching is incorporated into university practice and culture, and is conducted in a mutually respectful and supportive way, it has the potential to facilitate reflective change and growth for teachers.

  16. Using the New Racial Categories in the 2000 Census: A KIDS COUNT/PRB Report on Census 2000.

    Science.gov (United States)

    Lee, Sharon M.

    This report addresses issues that data users will face in using, interpreting, and presenting new data on race from the 2000 census, which allowed multiple racial responses. Changing how the census collects data on race is not new. Almost every census for the past 200 years has collected racial data differently than the previous census. New…

  17. MCMII and the TriP chip

    Energy Technology Data Exchange (ETDEWEB)

    Juan Estrada et al.

    2003-12-19

    We describe the development of the electronics that will be used to read out the Fiber Tracker and Preshower detectors in Run IIb. This electronics is needed for operation at 132ns bunch crossing, and may provide a measurement of the z coordinate of the Fiber Tracker hits when operating at 396ns bunch crossing. Specifically, we describe the design and preliminary tests of the Trip chip, MCM IIa, MCM IIb and MCM IIc. This document also serves as a user manual for the Trip chip and the MCM.

  18. Some notes on the big trip

    Energy Technology Data Exchange (ETDEWEB)

    Gonzalez-Diaz, Pedro F. [Colina de los Chopos, Centro de Fisica ' Miguel A. Catalan' , Instituto de Matematicas y Fisica Fundamental, Consejo Superior de Investigaciones Cientificas, Serrano 121, 28006 Madrid (Spain)]. E-mail: pedrogonzalez@mi.madritel.es

    2006-03-30

    The big trip is a cosmological process thought to occur in the future by which the entire universe would be engulfed inside a gigantic wormhole and might travel through it along space and time. In this Letter we discuss different arguments that have been raised against the viability of that process, reaching the conclusions that the process can actually occur by accretion of phantom energy onto the wormholes and that it is stable and might occur in the global context of a multiverse model. We finally argue that the big trip does not contradict any holographic bounds on entropy and information.

  19. Demographic Data - Census_Blockgroups_TIGER00_IN: Indiana Census Blockgroups 2000 (U.S. Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_Blockgroups_TIGER00_IN contains locations for all Indiana blockgroups identified by the US Bureau of the Census. Data is from U.S. Department of Commerce,...

  20. NEWS: A trip to CERN

    Science.gov (United States)

    Ellison, A. D.

    2000-07-01

    the canteen. Over lunch we mixed with physicists of many different nationalities and backgrounds. Figure 1 Figure 1. In the afternoon we visited Microcosm, the CERN visitors centre, and the LEP control room and also the SPS. Here the students learned new applications for much of the physics of standing waves and resonance that they had been taught in the classroom. Later that night, we visited a bowling alley where momentum and collision theory were put into practice. The following morning we returned to CERN and visited the large magnet testing facility. Here again physics was brought to life. We saw superconducting magnets being assembled and tested and the students gained a real appreciation of the problems and principles involved. The afternoon was rounded off by a visit to a science museum in Geneva - well worth a visit, as some of us still use some of the apparatus on display. Friday was our last full day so we visited Chamonix in the northern Alps. In the morning, we ascended the Aiguille de Midi - by cable car. Twenty minutes and 3842 m later we emerged into 50 km h-1 winds and -10 °C temperature, not counting the -10 °C wind chill factor. A crisp packet provided an unusual demonstration of the effects of air pressure (figure 2). Figure 2 Figure 2. The views from the summit were very spectacular though a few people experienced mild altitude sickness. That afternoon the party went to the Mer de Glace. Being inside a 3 million year-old structure moving down a mountain at 3 cm per day was an interesting experience, as was a tot of whisky with 3 million year-old water. Once again the local scenery was very photogenic and the click and whirr of cameras was a constant background noise. Saturday morning saw an early start for the long drive home. Most students - and some staff - took the opportunity to catch up on their sleep. Thanks are due to many people without whom the trip would never have taken place. Anne Craige, Stuart Williams

  1. Automobile trip to Fish Springs, March 16, 1959

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — These memoranda describe trips to Fish Springs National Wildlife Refuge. The purpose of these trips was to access the condition of the land in the Fish Springs area.

  2. Southeast Region Headboat Survey-Trip Estimates by Type

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a summary of the number of trips by vessel/area/month/trip type through time and is a means of gauging headboat fishery effort and compliance through time.

  3. Lacreek NWR : Trip report, July 19-21, 1995

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Memorandum to the Lacreek National Wildlife Refuge manager reporting a trip, on July 19-21, 1995, to evaluate wetland and upland management on the refuge. The trip...

  4. Class Trips in Cyberspace: No Passports Required.

    Science.gov (United States)

    Holzberg, Carol S.

    1996-01-01

    Describes examples of electronic field trips for elementary and secondary school students taking place during the 1996-97 school year. Topics include Mayan civilization, wildlife migration, geothermal hot spots, Antarctica, sailboat voyages, baseball and math, viruses, Hong Kong, and offerings from National Geographic. (LRW)

  5. Field Trip to a Rocky Shore.

    Science.gov (United States)

    Maine Univ., Orono. Cooperative Extension Service.

    Field trip activities designed for use on Maine's coast are provided, with brief definitions of the major physical zones to be found in this area. An introduction to the study of zonation of plants and animals living on the rocky shore is presented along with a list of the materials needed and the procedures to be followed when making a study of…

  6. The SMS-GPS-Trip-Method

    DEFF Research Database (Denmark)

    Reinau, Kristian Hegner; Harder, Henrik; Weber, Michael

    2015-01-01

    This article presents a new method for collecting travel behavior data, based on a combination of GPS tracking and SMS technology, coined the SMS–GPS-Trip method. The state-of-the-art method for collecting data for activity based traffic models is a combination of travel diaries and GPS tracking...

  7. School Trips: Are They Worth the Effort?

    Science.gov (United States)

    Johnston, Robert

    2015-01-01

    Even the most basic of school trips will require booking places, arranging transport, writing to parents, collecting payments, planning activities, producing worksheets and, of course, endless risk assessments. It always leaves teachers wondering: "is it really worth all this effort?" Robert Johnston believes that every teacher should…

  8. The TRIP from ULF to ARF.

    Science.gov (United States)

    Collado, Manuel; Serrano, Manuel

    2010-04-13

    ARF is a key activator of p53, and together they form a critical duo for protection against cancer. Previous evidence had recognized the regulatory potential of ubiquitin-mediated degradation of ARF. The recent identification of TRIP12/ULF as a ubiquitin ligase of ARF adds an important missing piece to the ARF/p53 pathway.

  9. Microstructural Development during Welding of TRIP steels

    NARCIS (Netherlands)

    Amirthalingam, M.

    2010-01-01

    The Advanced High Strength Steels (AHSS) are promising solutions for the production of lighter automobiles which reduce fuel consumption and increase passenger safety by improving crash-worthiness. Transformation Induced Plasticity Steel (TRIP) are part of the advanced high strength steels which

  10. Microstructural Development during Welding of TRIP steels

    NARCIS (Netherlands)

    Amirthalingam, M.

    2010-01-01

    The Advanced High Strength Steels (AHSS) are promising solutions for the production of lighter automobiles which reduce fuel consumption and increase passenger safety by improving crash-worthiness. Transformation Induced Plasticity Steel (TRIP) are part of the advanced high strength steels which off

  11. Abnormal Events for Emergency Trip in HANARO

    Energy Technology Data Exchange (ETDEWEB)

    Ahn, Guk Hun; Choi, M. J.; Park, S. I.; Kim, H. W.; Kim, S. J.; Park, J. H.; Kwon, I. C

    2006-12-15

    This report gathers abnormal events related to emergency trip of HANARO that happened during its operation over 10 years since the first criticality on February 1995. The collected examples will be utilized to the HANARO's operators as a useful guide.

  12. Combining ability of twelve maize populations

    Directory of Open Access Journals (Sweden)

    Vacaro Elton

    2002-01-01

    Full Text Available Genetic progress depends on germplasm quality and breeding methods. Twelve maize populations and their crosses were evaluated to estimate combining ability and potential to be included as source populations in breeding programs. Plant height, point of insertion of the first ear, number of ears per plant, number of grains per ear, root and stalk lodging and grain yield were studied in two locations in Brazil, during the 1997/98 season. Genotype sum of squares was divided into general (GCA and specific (SCA combining ability. Results indicated the existence of genetic divergence for all traits analyzed, where additive effects were predominant. The high heterosis levels observed, mainly in Xanxerê, suggested the environmental influence on the manifestation of this genetic phenomenon. Populations revealed potential to be used in breeding programs; however, those more intensively submitted to selection could provide larger genetic progress, showing the importance of population improvement for the increment of the heterosis in maize.

  13. Tally NP Sets and Easy Census Functions

    OpenAIRE

    Goldsmith, Judy; Ogihara, Mitsunori; Rothe, Joerg

    1998-01-01

    We study the question of whether every P set has an easy (i.e., polynomial-time computable) census function. We characterize this question in terms of unlikely collapses of language and function classes such as the containment of #P_1 in FP, where #P_1 is the class of functions that count the witnesses for tally NP sets. We prove that every #P_{1}^{PH} function can be computed in FP^{#P_{1}^{#P_{1}}}. Consequently, every P set has an easy census function if and only if every set in the polyno...

  14. Mars rapid round trip mission design

    Science.gov (United States)

    Sarzi Amade', Nicola

    The present research is divided in two parts. The first part is a well defined mathematical problem, with exact rules and results, in which the basic constraints for interplanetary round trip travels are used to calculate an interplanetary train schedule (ITS) of missions to Mars, in the general case of orbits with non-zero eccentricity and non-zero inclination. Several possible options for round trip travels to Mars are considered. In particular, options at high energy, which allow rapid round trip missions, are discussed. These options have important applications for human travels to Mars. The second part of the research is about systems engineering aspects, which are intrinsically less exact, since they can change with time due, for example, to technology development or economic and political factors. For the case of a selected human rapid round trip mission to Mars, the development of a mission architecture, an assessment of the masses involved in the mission (such as the initial masses required in LEO), an estimate of the necessary number of launches, and a preliminary analysis of the radiation protection requirements, are performed. The main problem that justifies the existence of basic constraints for round trip missions is that by increasing the DeltaV of a mission, in general the total round trip time does not vary much, because a higher DeltaV can only reduce the transfer time and it simply increases the stay-time on the target planet. However, if the DeltaV is increased beyond a well-defined level, the total round trip time has a sudden drop in duration that makes fast round trips possible. This is due to the fact that the traveler can go back before the home planet makes one extra revolution around the Sun. For a sufficiently high DeltaV, a round trip to Mars can change in duration from 2.7 years to about 5 months. For Mars missions, the round trip times are calculated for different DeltaV's and for different transfer trajectories (T1, T2, etc.). An

  15. Austenite stability in TRIP steels studied by synchrotron radiation

    NARCIS (Netherlands)

    Blondé, R.

    2014-01-01

    TRIP steel is a material providing great mechanical properties. Such steels show a good balance between high-strength and ductility, not only as a result of the fine microstructure, but also because of the well-known TRIP effect. The Transformation Induced-Plasticity (TRIP) phenomenon is the transfo

  16. A Field Trip Planning Guide for Early Childhood Classes.

    Science.gov (United States)

    Martin, Sylvia S.; Seevers, Randy L.

    2003-01-01

    This article provides a guide for planning field trips for educational engagement of all children in early childhood education settings. Based on interviews, environmental assessments, and evaluations of activities, it includes field trip considerations and a field trip planning guide that includes the teacher, the parents, and the field site…

  17. Teachers' Sources of Knowledge for Field Trip Practices

    Science.gov (United States)

    Rebar, Bryan M.

    2012-01-01

    Teachers draw from many personal and professional experiences when organising and leading field trips. In order to identify the influences on teachers' field trip practices, I used surveys, interviews, artifacts and observations gathered from teachers who led trips to an aquarium. Findings clarified the types of influence and the impact that these…

  18. 46 CFR 58.01-30 - Trial-trip observance.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 2 2010-10-01 2010-10-01 false Trial-trip observance. 58.01-30 Section 58.01-30... MACHINERY AND RELATED SYSTEMS General Requirements § 58.01-30 Trial-trip observance. The operation of main and auxiliary engines, boilers, steering gear, and auxiliaries shall be observed on the trial trip of...

  19. 50 CFR 648.293 - Tilefish trip limits.

    Science.gov (United States)

    2010-10-01

    ... 50 Wildlife and Fisheries 8 2010-10-01 2010-10-01 false Tilefish trip limits. 648.293 Section 648... Tilefish Fishery § 648.293 Tilefish trip limits. Any vessel of the United States fishing under a tilefish... trip, count as landings under the IFQ Allocation permit. ...

  20. 49 CFR 236.586 - Daily or after trip test.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Daily or after trip test. 236.586 Section 236.586..., Train Control and Cab Signal Systems Inspection and Tests; Locomotive § 236.586 Daily or after trip test... calendar day or within 24 hours before departure upon each trip. (b) Each equipped locomotive shall be...

  1. Austenite stability in TRIP steels studied by synchrotron radiation

    NARCIS (Netherlands)

    Blondé, R.

    2014-01-01

    TRIP steel is a material providing great mechanical properties. Such steels show a good balance between high-strength and ductility, not only as a result of the fine microstructure, but also because of the well-known TRIP effect. The Transformation Induced-Plasticity (TRIP) phenomenon is the

  2. COMPARATIVE STUDY: SCHOOL TRIP AND SCIENTIFIC EDUCATIONAL ACADEMIC TRIP IN THE NORTH-WEST OF ROMANIA

    Directory of Open Access Journals (Sweden)

    BIANCA SORINA RĂCĂŞAN

    2015-01-01

    Full Text Available The current study proposes a comparative approach of two forms of non-formal educational activities: the school trip and the scientific educational academic trip with their similarities and differences regarding both tourist and pedagogical levels. In order to acquire this goal the following objectives have been set: analysing a geographical-tourist itinerary, analysing the involved tourist services, analysing the trip planner for the specified itinerary, analysing certain teaching activities, differentiated based on the level of study (pre-university/superior, analysing students and undergraduates’ worksheets after they have been completed according to the requirements. Consequently a series of similarities have appeared between the school trip and the academic trip, especially related to the theme, purpose, evaluation form, participants’ involvement degree, structure and integrated tourist elements (from attractions to services. On the other hand, the main differences that were highlighted, starting with educational level, age difference, and participants’ number have had repercussions on the quantitative and qualitative particularities of the tasks and last but not least, on the evaluation product (students’ portfolios and undergraduates’ trip notebooks.

  3. RSCCD Population and Participation, 1990 Census.

    Science.gov (United States)

    Russell, Suzi; And Others

    The enrollment patterns of residents of the Rancho Santiago Community College District (RSCCD) were evaluated by comparing data on students at Rancho Santiago College (RSC) to 1990 census information. For each city and zip code, the study analyzed ethnic distributions and participation rates. Populations over 18 years of age from zip codes and…

  4. Torrance County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  5. Dona Ana County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  6. 78 FR 66681 - Census Advisory Committees

    Science.gov (United States)

    2013-11-06

    ..., Suitland, Maryland 20746. FOR FURTHER INFORMATION CONTACT: Jeri Green, Jeri.Green@census.gov , Committee... writing to Ms. Jeri Green at least three days before the meeting. If you plan to attend the meeting... not allowed beyond the first floor. Dated: October 31, 2013. John H. Thompson, Director, Bureau of...

  7. Sandoval County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  8. Luna County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  9. Santa Fe County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  10. 75 FR 17835 - Census Day, 2010

    Science.gov (United States)

    2010-04-07

    ... Constitution, informs our Government's responses to the evolving needs of American communities. By completing... new factories and businesses as our economy recovers. On Census Day, I urge all Americans to fulfill..., by virtue of the authority vested in me by the Constitution and laws of the United States, do...

  11. San Juan County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  12. Roosevelt County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  13. Eddy County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  14. Lea County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  15. Otero County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  16. Towards validation of the Internet Census 2012

    NARCIS (Netherlands)

    Maan, Dirk; Cardoso de Santanna, José Jair; Sperotto, Anna; de Boer, Pieter-Tjerk; Kermarrec, Yvon

    2014-01-01

    The reliability of the ``Internet Census 2012'' (IC), an anonymously published scan of the entire IPv4 address space, is not a priori clear. As a step towards validation of this dataset, we compare it to logged reference data on a /16 network, and present an approach to systematically handle

  17. Analysis of electric vehicle's trip cost allowing late arrival

    Science.gov (United States)

    Leng, Jun-Qiang; Liu, Wei-Yi; Zhao, Lin

    2017-05-01

    In this paper, we use a car-following model to study each electric vehicle's trip cost and the total trip cost allowing late arrival. The numerical result show that the electricity cost has great effects on each commuter's trip cost and the total trip costs and that these effects are dependent on each commuter's time headway at the origin, but the electricity cost has no prominent impacts on the minimum value of total trip cost under each commuter's different time headway at the origin.

  18. Twelve tips for getting your manuscript published.

    Science.gov (United States)

    Cook, David A

    2016-01-01

    The author shares twelve practical tips on how to navigate the process of getting a manuscript published. These tips, which apply to all fields of academic writing, advise that during the initial preparation phase authors should: (1) plan early to get it out the door; (2) address authorship and writing group expectations up front; (3) maintain control of the writing; (4) ensure complete reporting; (5) use electronic reference management software; (6) polish carefully before they submit; (7) select the right journal; and (8) follow journal instructions precisely. Rejection after the first submission is likely, and when this occurs authors should (9) get it back out the door quickly, but first (10) take seriously all reviewer and editor suggestions. Finally, when the invitation comes to revise and resubmit, authors should (11) respond carefully to every reviewer suggestion, even if they disagree, and (12) get input from others as they revise. The author also shares detailed suggestions on the creation of effective tables and figures, and on how to respond to reviewer critiques.

  19. Antifouling activity of twelve demosponges from Brazil

    Directory of Open Access Journals (Sweden)

    SM. Ribeiro

    Full Text Available Benthic marine organisms are constantly exposed to fouling, which is harmful to most host species. Thus, the production of secondary metabolites containing antifouling properties is an important ecological advantage for sessile organisms and may also provide leading compounds for the development of antifouling paints. High antifouling potential of sponges has been demonstrated in the Indian and Pacific oceans and in the Caribbean and Mediterranean seas. Brazilian sponges remain understudied concerning antifouling activities. Only two scientific articles reported this activity in sponges of Brazil. The objective of this study was to test crude extracts of twelve species of sponges from Brazil against the attachment of the mussel Perna perna through laboratorial assays, and highlight promising species for future studies. The species Petromica citrina, Amphimedon viridis, Desmapsamma anchorata, Chondrosia sp., Polymastia janeirensis, Tedania ignis, Aplysina fulva, Mycale angulosa, Hymeniacidon heliophila, Dysidea etheria, Tethya rubra, and Tethya maza were frozen and freeze-dried before extraction with acetone or dichloromethane. The crude extract of four species significantly inhibited the attachment of byssus: Tethya rubra (p = 0.0009, Tethya maza (p = 0.0039, Petromica citrina (p = 0.0277, and Hymeniacidon heliophila (p = 0.00003. These species, specially, should be the target of future studies to detail the substances involved in the ability antifouling well as to define its amplitude of action.

  20. Twelve Elastic Constants of Betula platyphylla Suk.

    Institute of Scientific and Technical Information of China (English)

    Wang Liyu; Lu Zhenyou

    2004-01-01

    Wood elastic constants are needed to describe the elastic behaviors of wood and be taken as an important design parameter for wood-based composite materials and structural materials. This paper clarified the relationships between compliance coefficients and engineering elastic constants combined with orthotropic properties of wood, and twelve elastic constants of Betula platyphylla Suk. were measured by electrical strain gauges. Spreading the adhesive quantity cannot be excessive or too little when the strain flakes were glued. If excessive, the glue layer was too thick which would influence the strain flakes' performance, and if too little, glues plastered were not firm, which could not accurately transmit the strain. Wood as an orthotropic material, its modulus of elasticity and poisson's ratios are related by two formulas:μij /Ei =μji /Ej and μij 0.95) between the reciprocal of elastic modulus MOE-1 and the square of the ratio of depth to length (h/l)2, which indicate that shear modulus values measured were reliable by three point bending experiment.

  1. Census Tracts & Block Groups, 2004, East Baton Rouge, Louisiana

    Data.gov (United States)

    Louisiana Geographic Information Center — This is a graphical polygon dataset depicting the polygon boundaries of 107 semi-permanent census tracts and the census blocks within the Parish of East Baton Rouge....

  2. VT 1990 Census Block Group Boundaries and Statistics

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The DemoCensus_BLCKGR1990 TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's 1990 TIGER...

  3. VT 1990 Census Minor Civil Division and Place Boundaries

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The 1990 Census TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's TIGER (Topologically...

  4. Sandoval County Transportation Analysis Zones, Census 2000 from TIGER 2008

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  5. Census 2000 Urbanized Areas (CEN00UA02_2)

    Data.gov (United States)

    California Department of Resources — For Census 2000, the Census Bureau classifies as 'urban' all territory, population, and housing units located within an urbanized area (UA) or an urban cluster (UC)....

  6. Bernalillo County Transportation Analysis Zones, Census 2000 from TIGER 2008

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  7. Torrance County Transportation Analysis Zones, Census 2000 from TIGER 2008

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  8. Field trips along the Geological Transpyrenean Road

    Science.gov (United States)

    Burgio, Marion; Dekeyser, Dominique; Richert, Jean Paul; Gruneisen, Pierre; Vazquez-Prada, Diego; Lacazedieu, Annie

    2015-04-01

    GeolVal association, www.geolval.fr , in collaboration with Geoambiente association, created a serie of pedagogical explanations about Pyrenees landscapes along the road from France to Spain, linking the towns of Pau, Oloron,Jaca and Mallos de Riglos. It was a ten years work that lasted in 2008. http://www.routetranspyreneenne.com/home_f.php We can now use this "treasure" with tourists, students and mix some landscapes explanations from a road site with a little field trip along mountain in order to "touch" the rocks. We are working about the importance of field in the way the students understand geosciences and try to organize field trips that aim to simplify and make concrete some key concepts. We also began an interactive software version of this work, presented through a pilot application, made in collaboration with Total petroleum firm.

  9. Your private trips with Carlson Wagonlit Travel

    CERN Multimedia

    Carlson Wagonlit Travel

    2015-01-01

    Your Carlson Wagonlit Travel agency at CERN (building 62) also organizes private trips!     Do not hesitate to contact the “Tourism” team, at your disposal from Monday to Friday from 8:30 a.m. to 4:30 p.m. Phone: 72763. E-mail: cern@carlsonwagonlit.ch. Since 1 January 2015, everyone working at CERN benefits from lower booking fees.

  10. TRIPs Agreement, Important Multilateral WTO Treaty

    Directory of Open Access Journals (Sweden)

    Oana-Maria Florescu

    2006-08-01

    Full Text Available This article aims at presenting the content and the frame of the TRIPs. Agreement. It starts by introducing the reader to the terms that defined the world economical climate by the time of the Agreement negociation. Also, it explains the need of having an Agreement on intellectual property rights with impact on the business world. Moreover, the article reviews the main provisions of the Agreement and the most important intellectual property rights.

  11. VEHICLE OWNERSHIP AND TRIP GENERATION MODELLING

    Directory of Open Access Journals (Sweden)

    Pattarathep SILLAPARCHARN

    2007-01-01

    Full Text Available This paper aims to address some important issues of a rapid growth in vehicle ownership, how different types of vehicles interact and how these growths affect a number of trip generations, especially in a country undergoing fast economic development, such as Thailand. The forecasts of such growth are important for strategic transport decision-making, travel demand forecasts and other policy issues at both regional and national levels. For these reasons, a series of vehicle ownership models, which include: (1 car, (2 motorcycle, (3 truck and heavy goods vehicle and (4 bus and coach models, are proposed together with a trip generation model. These models are built upon the limited aggregate data, both time series and cross sectional and disaggregated spatially by province, using non-log-linear weighted least squares regression for motor vehicle ownership models and exponential modelling for a trip generation model. The inputs required are basically forecasted gross provincial products per capita and population level. All proposed models have good statistical properties, i.e. all statistically significant coefficients and high adjusted R squared value and very good fits which are within 12% of observed values during the base years. The car ownership model also gives reasonable car ownership elasticities with respect to income and a sensible saturation level when compared with other studies. The forecast for a case of increasing income shows that the car and truck ownership level will increase together with the trip generation level. However, as people own more cars, the motorcycle and bus ownership levels will decrease as there might be a switch to car ownership.

  12. Microstructural Development during Welding of TRIP steels

    OpenAIRE

    Amirthalingam, M.

    2010-01-01

    The Advanced High Strength Steels (AHSS) are promising solutions for the production of lighter automobiles which reduce fuel consumption and increase passenger safety by improving crash-worthiness. Transformation Induced Plasticity Steel (TRIP) are part of the advanced high strength steels which offers a high strength and toughness combination with excellent uniform elongation. However, the higher alloying content of these steel limits their weldability and the thermal cycle of a welding proc...

  13. Can virtual field trips be substituted for real-world field trips in an eighth grade geology curriculum?

    Science.gov (United States)

    Lewis, Daniel B.

    This study compares student learning from a real-world field trip with student learning from a virtual field trip. A field trip was designed to show students the way geologists believe the Grand Coulee in eastern Washington State was created. A real-world version and a virtual version (panoramic photographs) were constructed. Participants in the study were eighth grade Earth Science students. At the end of the study it was found that there was no significant difference on the final assessment between the scores of real-world field trip participants and the scores of virtual field trip participants.

  14. The challenge of census taking in developing countries.

    Science.gov (United States)

    Bair, R R; Torrey, B B

    1985-01-01

    This paper describes the new and inexpensive technologies that have been developed at the U.S. Bureau of the Census in order to assist in data processing of census results in developing countries. The process of U.S. technical assistance in this field is described. The authors then consider differences and similarities in processing and producing census data. The article concludes with a discussion of the available technologies, including microcomputing software developed for the 1990 census round.

  15. Revisiting the destination ranking procedure in development of an Intervening Opportunities Model for public transit trip distribution

    Science.gov (United States)

    Nazem, Mohsen; Trépanier, Martin; Morency, Catherine

    2015-01-01

    An Enhanced Intervening Opportunities Model (EIOM) is developed for Public Transit (PT). This is a distribution supply dependent model, with single constraints on trip production for work trips during morning peak hours (6:00 a.m.-9:00 a.m.) within the Island of Montreal, Canada. Different data sets, including the 2008 Origin-Destination (OD) survey of the Greater Montreal Area, the 2006 Census of Canada, GTFS network data, along with the geographical data of the study area, are used. EIOM is a nonlinear model composed of socio-demographics, PT supply data and work location attributes. An enhanced destination ranking procedure is used to calculate the number of spatially cumulative opportunities, the basic variable of EIOM. For comparison, a Basic Intervening Opportunities Model (BIOM) is developed by using the basic destination ranking procedure. The main difference between EIOM and BIOM is in the destination ranking procedure: EIOM considers the maximization of a utility function composed of PT Level Of Service and number of opportunities at the destination, along with the OD trip duration, whereas BIOM is based on a destination ranking derived only from OD trip durations. Analysis confirmed that EIOM is more accurate than BIOM. This study presents a new tool for PT analysts, planners and policy makers to study the potential changes in PT trip patterns due to changes in socio-demographic characteristics, PT supply, and other factors. Also it opens new opportunities for the development of more accurate PT demand models with new emergent data such as smart card validations.

  16. Push-off reactions in recovery after tripping discriminate young subjects, older non-fallers and older fallers.

    Science.gov (United States)

    Pijnappels, Mirjam; Bobbert, Maarten F; van Dieën, Jaap H

    2005-06-01

    Tripping is a major cause for falls, especially in the elderly. This study investigated whether falls in the elderly can be attributed to inadequate push-off reactions by the support limb in the recovery after a trip. Twelve young (20-34 years) and eleven older (65-72 years) men and women walked over a platform and were tripped several times over an obstacle that suddenly appeared from the floor. Kinematics and ground reactions forces of the support limb during push-off were measured of falls and successful recoveries. Young subjects did not fall. The older subjects were divided into a group of four non-fallers and seven fallers. Older fallers showed insufficient reduction of the angular momentum during push-off and less proper placement of the recovery limb. This was due to a lower rate of change of moment generation in all support limb joints and a lower peak ankle moment. Onset of knee moment generation was slightly delayed in older fallers. Improvement over trials was ascribed to better positioning of the recovery limb, as no clear differences were seen in the joint moments of the support limb. In conclusion, the contribution of the support limb to prevent a fall after tripping is decreased in older adults. Lower limb strength could be an underlying factor and strength training might help to reduce fall risk.

  17. Field trips local and abroad: What every field trip leader needs to know about insurance coverage

    Science.gov (United States)

    Jovanelly, T.

    2016-12-01

    Leading field trips locally or internationally is an essential part of being a geoscience educator. Being a field trip guide and coordinator often means that you will be responsible for minors (under the age of 21), transportation, and touring (e.g. hiking, exploring) in unique and sometimes rugged environments. Professors, and alike, at universities and colleges may not have adequate insurance covered should a student(s) render maladies, or worse death, under your advisement. This poster outlines questions that could be presented to your university or college's lawyer to ensure field trip guides are properly covered for liability in most situations. Additionally, it will provide explanation for common legal terms often used when explaining insurance coverage relating to university or college employment. Lastly, this poster will provide suggestions on how to pursue professional coverage polices that can protect you both in the field and in the classroom/laboratory.

  18. Federal census of the population in Switzerland

    CERN Multimedia

    DG Unit

    2011-01-01

    A federal census of the 2010 population has been underway since January 2011. The objective is to provide important insights into the composition of the resident population, households and families in Switzerland and identify trends. The census methods have been modernised so that it covers only information that is not already contained in Federal, Cantonal and municipal registries of persons; the information will be gathered via questionnaires issued to approximately 3% of the population residing in Switzerland. In order to obtain representative information about the local population, the Canton of Geneva has requested that questionnaires be issued to international civil servants and members of their families aged 15 and over who live in the Canton. They will be invited to respond to the questionnaire on a strictly voluntary basis. If they choose not to respond to the questionnaire, they will not be contacted again. The Permanent Swiss Mission to the International Organizations in Geneva wishes in advance t...

  19. 38th annual Reed rig census

    Energy Technology Data Exchange (ETDEWEB)

    Fitts, R.L.; Crowhurst, M.E. (Market Research and Analysis, Reed Tool Co., Houston, TX (US))

    1990-10-01

    According to this report, sharp and encouraging movement toward a balance between rig supply and demand is becoming apparent. During the past year, contractors reported the number of rigs available for drilling in the U.S. fell by 222 (8.7%). Contractors also reported that rigs meeting the census definition of active increased by 233 (16.1%). Highlights of the 1990 census, presented by the authors, include: The available U.S. fleet now stands at 2,320 rigs, the lowest since 1976. Last year's count was 2,542. The census active count of 1,677 rigs is the highest since 1985 and up from 1,444 last year. Rig utilization increased to 72%, up from the 57% a year ago. The number of rig owners declined from 558 to 500. More than 190 companies have left the drilling business since 1987. About 6.5% of last year's fleet was cannibalized or auctioned as parts.

  20. Hepatic Angiosarcoma: a Review of Twelve Cases

    Institute of Scientific and Technical Information of China (English)

    Qiang Li; Xishan Hao

    2005-01-01

    OBJECTIVE Hepatic angiosarcoma (HAS), a lethal disease, is the most common sarcoma arising in the liver. Little information about the epidemiology, etiology, diagnosis and management of HAS has been reported. Increased familiarity with this disease will facilitate correct diagnosis and help to improve management of this condition in the future.The objective of this study was to describe cases of hepatic angiosarcoma and to discuss the etiologic, diagnostic, therapeutic features and prognosis of this tumor. This report not only serves to give more evidence of the relationship between hepatic angiosarcoma and carcinogenic exposure, but also demonstrates the key points in different methods of diagnosis and the optimal treatment of hepatic angiosarcoma.METHODS Twelve cases of hepatic angiosareoma were analyzed retrospectively, representing the different character in clinical presentations and laboratory computed tomographical scans; pathological data and treatment are described. Clinical and biologic follow-up was carried out for two years after surgical treatment.RESULTS There were nine men and three women varying in ages from 57 to 71 years with an average of 64.3 years. Ten patientshad a history of exposure to vinyl chloride or thorotrast. Mild or moderate abdominal pain and bloating, abdominal mass and fever were the common clinical presentations. Tumors were visualized by ultrasonography and CT scans in all patients. Biochemical profiles yielded variable results and proved to be of little value in detection or diagnosis. Surgical resection was feasible for each patient who was treated as follows: two wedge resections, six segementectomies and four bisegmentectomies. Five patients received Neoadjuvant chemotherapy postoperatively. The survival rate of those cases was poor. The maximum survival time was fourteen months. The mean survival time for this chemotherapeutic group was 11 months. The difference between the survival time of those treated with an operation

  1. Development of trip coverage analysis methodology - CATHENA trip coverage analysis model

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Jong Ho; Ohn, M. Y.; Cho, C. H.; Huh, J. Y.; Na, Y. H.; Lee, S. Y.; Kim, B. G.; Kim, H. H.; Kim, S. W.; Bae, C. J.; Kim, T. M.; Kim, S. R.; Han, B. S.; Moon, B. J.; Oh, M. T. [Korea Power Engineering Co., Yongin (Korea)

    2001-05-01

    This report describes the CATHENA model for trip coverage analysis. This model is prepared based on the Wolsong 2 design data and consist of primary heat transport system, shutdown system, steam and feedwater system, reactor regulating system, heat transport pressure and inventory control system, and steam generator level and pressure control system. The new features and modified parts from the Wolsong 2 CATHENA LOCA Model required for trip coverage analysis is described. this model is tested by simulation of steady state at 100 % FP and at several low powers. Also, the cases of power rundown and power runup are tested. 17 refs., 124 figs., 19 tabs. (Author)

  2. Census Model Transition: Contributions to its Implementation in Portugal

    Directory of Open Access Journals (Sweden)

    Dias Carlos A.

    2016-03-01

    Full Text Available Given the high cost and complexity of traditional censuses, some countries have started to change the census process. Following this trend, Portugal is also evaluating a new census model as an alternative to an exhaustive collection of all statistical units. The main motivations for the implementation of this census model transition in Portugal are related to the decrease in statistical burden on citizens, improvements in the frequency of outputs, and the reduction of collection costs associated with census operations. This article seeks to systematise and critically review all alternatives to the traditional census methodologies, presenting their advantages and disadvantages and the countries that use them. As a result of the comparison, we conclude that the methods that best meet these objectives are those that use administrative data, either in whole or in part. We also present and discuss the results of an inventory and evaluation of administrative registers in Portugal with the potential to produce statistical census information.

  3. Microstructure Evolution during Friction Stir Spot Welding of TRIP steel

    DEFF Research Database (Denmark)

    Lomholt, Trine Colding

    Transformation Induced Plasticity (TRIP) steels have been developed for automotive applications due to the excellent high strength and formability. The microstructure of TRIP steels is a complex mixture of various microstructural constituents; ferrite, bainite, martensite and retained austenite....... The TRIP effect is activated under the influence of an external load, thereby leading to a martensitic transformation of the retained austenite. This transformation induced plasticity contributes to the excellent mechanical properties of this class of steels and provides high tensile strength without...... and thereby reduced weight of the vehicles. One of the limitations for the wide application of TRIP steel is associated with joining, since so far no method has succeeded in joining TRIP steel, without comprising the steel properties. In this study, the potential of joining TRIP steel with Friction Stir Spot...

  4. Hunton Group core workshop and field trip

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, K.S. [ed.

    1993-12-31

    The Late Ordovician-Silurian-Devonian Hunton Group is a moderately thick sequence of shallow-marine carbonates deposited on the south edge of the North American craton. This rock unit is a major target for petroleum exploration and reservoir development in the southern Midcontinent. The workshop described here was held to display cores, outcrop samples, and other reservoir-characterization studies of the Hunton Group and equivalent strata throughout the region. A field trip was organized to complement the workshop by allowing examination of excellent outcrops of the Hunton Group of the Arbuckle Mountains.

  5. Predictors of trips to food destinations

    Directory of Open Access Journals (Sweden)

    Kerr Jacqueline

    2012-05-01

    Full Text Available Abstract Background Food environment studies have focused on ethnic and income disparities in food access. Few studies have investigated distance travelled for food and did not aim to inform the geographic scales at which to study the relationship between food environments and obesity. Further, studies have not considered neighborhood design as a predictor of food purchasing behavior. Methods Atlanta residents (N = 4800 who completed a travel diary and reported purchasing or consuming food at one of five food locations were included in the analyses. A total of 11,995 food-related trips were reported. Using mixed modeling to adjust for clustering of trips by participants and households, person-level variables (e.g. demographics, neighborhood-level urban form measures, created in GIS, and trip characteristics (e.g. time of day, origin and destination were investigated as correlates of distance travelled for food and frequency of grocery store and fast food outlet trips. Results Mean travel distance for food ranged from 4.5 miles for coffee shops to 6.3 miles for superstores. Type of store, urban form, type of tour, day of the week and ethnicity were all significantly related to distance travelled for food. Origin and destination environment, type of tour, day of week, age, gender, income, ethnicity, vehicle access and obesity status were all significantly related to visiting a grocery store. Home neighborhood environment, day of week, type of tour, gender, income, education level, age, and obesity status were all significantly related to likelihood of visiting a fastfood outlet. Conclusions The present study demonstrated that people travel sizeable distances for food and this distance is related to urban. Results suggest that researchers need to employ different methods to characterize food environments than have been used to assess urban form in studies of physical activity. Food is most often purchased while traveling from locations other

  6. Trip distribution for limited destinations: a case study for grocery shopping trips in the Netherlands

    NARCIS (Netherlands)

    Veenstra, Sander; Thomas, Tom; Tutert, Bas

    2010-01-01

    In this paper, we introduce a new trip distribution model for destinations that are not homogeneously distributed. The model is a gravity model in which the spatial configuration of destinations is incorporated in the modeling process. The performance was tested on a survey with reported grocery sho

  7. Ring aggregation pattern of Human Travel Trips

    CERN Document Server

    Wang, Zi-Yang; Zhu, Peng; Qin, Yong; Jia, Li-Min

    2015-01-01

    Although a lot of attentions have been paid to human mobility, the relationship between travel pattern with city structure is still unclear. Here we probe into this relationship by analyzing the metro passenger trip data.There are two unprecedented findings. One, from the average view a linear law exists between the individual's travel distance with his original distance to city center. The mechanism underlying is a travel pattern we called "ring aggregation", i.e., the daily movement of city passengers is just aggregating to a ring with roughly equal distance to city center.Interestingly, for the round trips the daily travel pattern can be regarded as a switching between the home ring at outer area with the office ring at the inner area. Second, this linear law and ring aggregation pattern seems to be an exclusive characteristic of the metro system. It can not be found in short distance transportation modes, such as bicycle and taxi, neither as multiple transportation modes. This means the ring aggregation p...

  8. Development of Teacher Attitude Scale towards the Field Trip

    Science.gov (United States)

    Tortop, Hasan Said

    2012-01-01

    A field trip is an excursion by group of students with teachers to a place away from classroom such as natural field, science center, and zoo. So, it is an important tool for renewable energy education. This study was carried out to develop a new scale for measuring teacher attitudes towards the field trip. Teacher attitude scale towards the field…

  9. The "Science" Behind a Successful Field Trip to the Zoo

    Science.gov (United States)

    Scott, Catherine Marie; Matthews, Catherine E.

    2011-01-01

    A field trip to the local zoo is often a staple in many elementary school curricula. Many zoos offer free entry to local teachers and their students. Teachers take students on field trips to enrich the curriculum, make connections to what students are learning in school, and provide students with meaningful learning experiences (Kisiel 2007).…

  10. The "Science" Behind a Successful Field Trip to the Zoo

    Science.gov (United States)

    Scott, Catherine Marie; Matthews, Catherine E.

    2011-01-01

    A field trip to the local zoo is often a staple in many elementary school curricula. Many zoos offer free entry to local teachers and their students. Teachers take students on field trips to enrich the curriculum, make connections to what students are learning in school, and provide students with meaningful learning experiences (Kisiel 2007).…

  11. Experimental Evaluation of Field Trips on Instruction in Vocational Agriculture.

    Science.gov (United States)

    McCaslin, Norval L.

    To determine the effect of field trips on student achievement in each of four subject matter areas in vocational agriculture, 12 schools offering approved programs were randomly selected and divided into a treatment group and a control group. Uniform teaching outlines and reference materials were provided to each group. While no field trips were…

  12. Field Trips: A Look at Environmental Effects on Learning.

    Science.gov (United States)

    Falk, John H.

    1983-01-01

    Six studies on school field trip learning are reviewed. Among the findings reported are those indicating that students' perceptions of the novelty of the trip affects what they learn, and that imposed learning will be inhibited in settings where novelty is either extremely great or small. (Author/JN)

  13. Elementary school children's science learning from school field trips

    Science.gov (United States)

    Glick, Marilyn Petty

    This research examines the impact of classroom anchoring activities on elementary school students' science learning from a school field trip. Although there is prior research demonstrating that students can learn science from school field trips, most of this research is descriptive in nature and does not examine the conditions that enhance or facilitate such learning. The current study draws upon research in psychology and education to create an intervention that is designed to enhance what students learn from school science field trips. The intervention comprises of a set of "anchoring" activities that include: (1) Orientation to context, (2) Discussion to activate prior knowledge and generate questions, (3) Use of field notebooks during the field trip to record observations and answer questions generated prior to field trip, (4) Post-visit discussion of what was learned. The effects of the intervention are examined by comparing two groups of students: an intervention group which receives anchoring classroom activities related to their field trip and an equivalent control group which visits the same field trip site for the same duration but does not receive any anchoring classroom activities. Learning of target concepts in both groups was compared using objective pre and posttests. Additionally, a subset of students in each group were interviewed to obtain more detailed descriptive data on what children learned through their field trip.

  14. Valuation of a transfer in a multimodal public transport trip

    NARCIS (Netherlands)

    Schakenbos, R.; La Paix Puello, L.C.; Nijenstein, S.; Geurs, K.T.

    2016-01-01

    Improvement of chain mobility is considered a major issue in public transport use. Transfers within a public transport trip are the least appreciated part of the trip. This research quantifies the experienced transfer disutility of a transfer between BTM and train. The influence of travel time, tran

  15. [Managing health risks of workers in business trip].

    Science.gov (United States)

    Gevorkian, E V

    2014-01-01

    The article presents data of prospective observation over the risk management system concerning health of international oil and gas company workers in business trips. The management system included training and screening of workers under risk, specific prophylaxis and other measures. The authors described problems of the risk management system implementation, suggested recommendations to control risks connected with business trips.

  16. Gezocht: de beste roofmijt voor Californische trips in roos

    NARCIS (Netherlands)

    Arkesteijn, M.; Pijnakker, J.

    2012-01-01

    De Californische trips, Frankliniella occidentalis, is een van de belangrijkste plagen in de glastuinbouw. De introductie van deze trips dateert van 1984. Het plaaginsect vormt nu een struikelblok voor de verdere uitbreiding van geïntegreerde bestrijding. In roos kan een klein aantal van deze tripse

  17. 14 CFR 380.46 - Charter trip reporting.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 4 2010-01-01 2010-01-01 false Charter trip reporting. 380.46 Section 380.46 Aeronautics and Space OFFICE OF THE SECRETARY, DEPARTMENT OF TRANSPORTATION (AVIATION PROCEEDINGS) SPECIAL REGULATIONS PUBLIC CHARTERS Requirements Applicable to Direct Air Carriers § 380.46 Charter trip...

  18. Development and formability analysis of TRIP seamless steel tube

    Institute of Scientific and Technical Information of China (English)

    Zhang Zicheng; Zhu Fuxian

    2014-01-01

    In this paper, the production technology of transformation induced plasticity (TRIP) steel was first introduced into the steel tube manufacture field to produce the steel tubes with high strength and plasticity. The TRIP seamless steel tubes with the microstructure of ferrite, bainite, retained austenite and a little martensite were successfully fabricated using a cold-drawn steel tube with two-stage heat treatment technique and continu- ous heat treatment process, respectively. The ring tensile test and cold bend test were carried out to study the formability of the newly developed TRIP seamless steel tube. The results showed that the TRIP seamless steel tubes have a good cold formability, and they are available to be used in the tube hydroforming process. In ad- dition, the equipment of continuous heat treatment developed in the current study can be used to produce TRIP steel tube, and it may serve as an important reference for the industrial production of TRIP steel tube.

  19. Harvesting Collective Trend Observations from Large Scale Study Trips

    DEFF Research Database (Denmark)

    Eriksen, Kaare; Ovesen, Nis

    2014-01-01

    To enhance industrial design students’ decoding and understanding of the technological possibilities and the diversity of needs and preferences in different cultures it is not unusual to arrange study trips where such students acquire a broader view to strengthen their professional skills...... and approach, hence linking the design education and the design culture of the surrounding world. To improve the professional learning it is useful, though, to facilitate and organize the trips in a way that involves systematic data collection and reporting. This paper presents a method for facilitating study...... trips for engineering students in architecture & design and the results from crowd-collecting a large amount of trend observations as well as the derived experience from using the method on a large scale study trip. The method has been developed and formalized in relation to study trips with large...

  20. User oriented trajectory search for trip recommendation

    KAUST Repository

    Shang, Shuo

    2012-01-01

    Trajectory sharing and searching have received significant attentions in recent years. In this paper, we propose and investigate a novel problem called User Oriented Trajectory Search (UOTS) for trip recommendation. In contrast to conventional trajectory search by locations (spatial domain only), we consider both spatial and textual domains in the new UOTS query. Given a trajectory data set, the query input contains a set of intended places given by the traveler and a set of textual attributes describing the traveler\\'s preference. If a trajectory is connecting/close to the specified query locations, and the textual attributes of the trajectory are similar to the traveler\\'e preference, it will be recommended to the traveler for reference. This type of queries can bring significant benefits to travelers in many popular applications such as trip planning and recommendation. There are two challenges in the UOTS problem, (i) how to constrain the searching range in two domains and (ii) how to schedule multiple query sources effectively. To overcome the challenges and answer the UOTS query efficiently, a novel collaborative searching approach is developed. Conceptually, the UOTS query processing is conducted in the spatial and textual domains alternately. A pair of upper and lower bounds are devised to constrain the searching range in two domains. In the meantime, a heuristic searching strategy based on priority ranking is adopted for scheduling the multiple query sources, which can further reduce the searching range and enhance the query efficiency notably. Furthermore, the devised collaborative searching approach can be extended to situations where the query locations are ordered. The performance of the proposed UOTS query is verified by extensive experiments based on real and synthetic trajectory data in road networks. © 2012 ACM.

  1. Slovenia and the Census: From the 20. Century Yugoslav Counts to the Register-based Census of 2011

    Directory of Open Access Journals (Sweden)

    Damir Josipovič

    2015-12-01

    Full Text Available The article critically examines censuses in the Republic of Slovenia. Owing to its Yugoslav past, the censuses after 1945 have been closely scrutinized, and the common Yugoslav census methodology had a strong influence on the 1991 and 2002 censuses. The 1991 enumeration was carried out within the Yugoslav state; however the data processing and result publishing was done under the newly independent Slovenian state. The 2002 census was the last census to be carried out using classic door-to-door enumeration, since the 2011 census was completely register-based. The paper explores censuses in Slovenia since 1991, noting numerous changes and controversies. In 2002, in contrast to 1991, the applied definition of the resident population left out some 35,000 people working temporarily abroad. In addition, the 2002 census witnessed the highest ever number of ethnically non-affiliated respondents. An even bigger controversy was related to the erasure of some 30,000 people from the register of permanent residents for failing to apply for Slovenian citizenship after the break-up of Yugoslavia. The article also briefly reviews the difficulty in addressing the status of the constitutional national minorities and other unrecognized former Yugoslav nations in a situation in which specific data on their number, social and economic structure are no longer collected.

  2. Seismic Census Technique for African Elephants

    Science.gov (United States)

    Wood, J. D.; O'Connell-Rodwell, C. E.; Klemperer, S. L.

    2005-12-01

    Large mammal populations are difficult to census and monitor in remote areas. In particular, elephant populations in Central Africa are difficult to census due to dense forest making aerial surveys impractical. Conservation management would be improved by a census technique that was accurate and precise, did not require large efforts in the field, and could record numbers of animals over a period of time. We report a new detection technique that relies on sensing the footfalls of large mammals. Geophones were used to record the footfalls of elephants and other large mammal species at a water hole in Etosha National Park, Namibia. We were able to discriminate between species using the spectral content of their footfalls with an 85% accuracy rate while only using a single geophone. This was done using correlation coefficients comparing the shape of the spectra for various species. An ANOVA found significant differences between these correlation coefficients (F4,1785 = 147.78, P = 0.000). An estimate of the energy created by passing elephants (the area under the amplitude envelope) can be used to estimate the number of elephants passing the geophone. Our best regression line plotting number of elephants versus energy recorded in the geophone explained 55% of the variance in the data. Much of the unexplained variance is due to the variation in distance from the geophone to the passing elephants. By subjecting the recordings to a narrow band-pass filter and using beamforming techniques on array data, we believe that we can control for the variation in distance between animal and geophones, and thus achieve better estimates of the number of animals passing the array. Using 7 pairs of geophones in a linear array, we offset the pairs of time series to correspond with the time delay associated with the signal intersecting the pair of geophones at increments of 2 degrees. The offset time series were then summed and the RMS value calculated. The largest RMS value was then

  3. 75 FR 13484 - Renewal of the Census Advisory Committees on the Race and Ethnic Populations

    Science.gov (United States)

    2010-03-22

    ... Bureau of the Census Renewal of the Census Advisory Committees on the Race and Ethnic Populations AGENCY... Advisory Committee on the African American Population, Census Advisory Committee on the American Indian and Alaska Native Populations, Census Advisory Committee on the Asian Population, Census Advisory...

  4. 76 FR 3081 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Retail Trade...

    Science.gov (United States)

    2011-01-19

    ... Census Bureau Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Retail... commitment during nondecennial census years. The 2012 Economic Census covering the Retail Trade and... Establishments in the Retail Trade and Accommodation and Food Services sectors of the economic census will...

  5. New Mexico Census Tracts, Households by Type (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  6. Harmonizing Aggregate Historical Dutch Census Data: a Flexible Approach

    NARCIS (Netherlands)

    Ashkpour, A.; Meroño-Peñuela, A.; Mandemakers, Kees

    2016-01-01

    Historical censuses are the richest source of statistical data about a nation’s past. These censuses include valuable data about the population characteristics, housing information and socio-economic data. Not only are they taken consistently over time, in our case for almost two centuries, they

  7. New Mexico Census Tracts, Median Age by Sex (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  8. New Mexico Census Tracts, Race and Hispanic Ethnicity (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  9. New Mexico Census Tracts, Housing Vacancy Status (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  10. Data from the 2011 International Piping Plover Census

    Science.gov (United States)

    Elliott-Smith, Elise; Bidwell, Mark; Holland, Amanda E.; Haig, Susan M.

    2015-01-01

    This report provides results from the 2011 International Census of Piping Plovers (Charadrius melodus). Distribution and abundance data for wintering and breeding Piping Plovers are summarized in tabular format. An appendix provides census data for every site surveyed in every state, province, and island. The 2011 winter census resulted in the observation of 3,973 Piping Plovers. Expanded coverage outside of the United States led to the discovery of more than 1,000 Piping Plovers wintering in the Bahamas. The breeding census detected 2,771 birds in Atlantic Canada and the Plains, Prairies, and Great Lakes regions of the United States and Canada. Combining the census count with the U.S. Atlantic “window census” provides a total minimum estimate of 5,723 breeding birds for the species.

  11. The Destiny of Universes After the Big Trip

    CERN Document Server

    Yurov, A V

    2007-01-01

    The big trip can be describe with the help of the Wheeler-DeWitt wave equation ${\\hat H}\\psi(w,a)=0$. The probability to find the universe after big trip in the state with $w=w_0$ will be maximal if $\\partial\\psi(w,a)/\\partial w|_{w=w_0}=0$ for any values of the scale factor $a$. It is shown that this will be the case if and only if $w_0=-1/3$. This fact allows one to suggest that vast majority of universes in multiverse must be in this state after their big trips.

  12. Advanced transportation concept for round-trip space travel

    Science.gov (United States)

    Yen, Chen-Wan L.

    1988-01-01

    A departure from the conventional concept of round-trip space travel is introduced. It is shown that a substantial reduction in the initial load required of the Shuttle or other launch vehicle can be achieved by staging the ascent orbit and leaving fuel for the return trip at each stage of the orbit. Examples of round trips from a low-inclination LEO to a high-inclination LEO and from an LEO to a GEO are used to show the merits of the new concept. Potential problem areas and research needed for the development of an efficient space transportation network are discussed.

  13. REVIEW AND PROSPECT OF HIGH STRENGTH LOW ALLOY TRIP STEEL

    Institute of Scientific and Technical Information of China (English)

    L. Li; P. Wollants; Y.L. He; B.C. De Cooman; X.C. Wei; Z.Y. Xu

    2003-01-01

    Research status of high strength low alloy TRIP (transformation induced plasticity)steels for automobile structural parts is briefly described. Composition and microstructure factors especially the morphology, size and volume fraction of retained austenite,which largely influence the strength and ductility of the steel, are reviewed and discussed one after another. Modelling of the inter-critical annealing and martempering processes as well as the designing of the TRIP steel aided by commercial software are introduced. Some special aspects of the dynamic mechanical properties of TRIP steel are firstly reported.

  14. Census Analysis: A Look at HCC Credit Students Based on the 1980 Census. Research Report Number 30.

    Science.gov (United States)

    Nespoli, Lawrence A.; Radcliffe, Susan K.

    A study was conducted by Howard Community College (HCC) to identify the geographic make-up of HCC credit students and to examine importance factors influencing college attendance. Using census software, data on 93.4% of HCC's 1980 credit students (N=4,013) were compared with 1980 census data on Howard County to determine participation rates for…

  15. Peer Pressure Road Trip 2012 - A Report

    Science.gov (United States)

    Popnoe, Olivia

    2012-10-01

    Each year since 2005 the Angelo State University SPS ``Peer Pressure Team'' has travelled for a week in May to promote physics and other sciences for grades K-12. This year, the Peer Pressure Team visited schools in West Texas and New Mexico. This was the first year the team has traveled outside of Texas, inspired by the SPS 2012 theme ``Physics Beyond Borders.'' The purpose of the Road Tours is to encourage an interest in science in children in grades K-12 and give experience in presenting and explaining physics to the undergraduate volunteers. The schools attended are carefully selected based on socioeconomic need and an underrepresentation in physics, as well as other sciences. During this week, the Peer Pressure Team saw about 1,500 students over 10 shows. Surveys were given to teachers post-demonstration to have students complete and return so the Team could gauge the effectiveness of the outreach program. In addition, the surveys allow the Team to determine which demonstrations had the most impact. We present the details of this year's road trip with the results and analysis of the survey data.

  16. The twelve dimensional super (2+2)-brane

    CERN Document Server

    Hewson, S F

    1996-01-01

    We discuss supersymmetry in twelve dimensions and present a covariant supersymmetric action for a brane with worldsheet signature (2,2), called a super (2+2)-brane, propagating in the osp(64,12) superspace. This superspace is explicitly constructed, and is trivial in the sense that the spinorial part is a trivial bundle over spacetime, unlike the twisted superspace of usual Poincare supersymmetry. For consistency, it is necessary to take a projection of the superspace. This is the same as the projection required for worldvolume supersymmetry. Upon compactification of this superspace, a torsion is naturally introduced and we produce the membrane and type IIB string actions in 11 and 10 dimensional Minkowski spacetimes. In addition, the compactification of the twelve dimensional supersymmetry algebra produces the correct algebras for these theories, including central charges. These considerations thus give the type IIB string and M-theory a single twelve dimensional origin.

  17. You Can't Reach for the Stars if You are Tripping Over the Ground! (Preventing Slips, Trips, and Falls)

    Science.gov (United States)

    Miller, Darcy; Raysich, Mark; Kirkland, Mary

    2016-01-01

    Although there are very few mishaps related to ground, vehicle or payload processing at the Kennedy Space Center (KSC), employees have experienced a significant number of injuries due to slips, trips, and falls outside of performing flight processing operations. Slips, trips, and falls are major causes of occupational injuries at KSC, the National Aeronautics and Space Administration (NASA), and in general industry. To help KSC employees avoid these injuries, and allow them to be fully productive, KSC launched an initiative in 2013 to reduce slips, trips, and falls. This initiative is based on a four-part model focusing on DATA analysis, HAZARD awareness, PREVENTIVE methods, and BALANCE.

  18. Refuge Trip Report for White River National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report covers the refuge trip to White River National Wildlife River to assess the potential of increasing the quantity and quality waterfowl wintering...

  19. Hawaii Longline Fishery Trip Expenditure (2004 to present)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a time-series dataset of trip expenditure data for the Hawaii-based longline fleet for the period August 2004 to present. The data collection includes 10...

  20. Astronaut Neil Armstrong studies rock samples during geological field trip

    Science.gov (United States)

    1969-01-01

    Astronaut Neil Armstrong, commander of the Apollo 11 lunar landing mission, studies rock samples during a geological field trip to the Quitman Mountains area near the Fort Quitman ruins in far west Texas.

  1. Understanding Social Learning Behaviors via a Virtual Field Trip

    National Research Council Canada - National Science Library

    Xin Bai; Joanne Lavin

    2014-01-01

    This is a multidisciplinary study investigating how a virtual rather than face-to-face field trip can be conducted in a real-world setting and how students respond to such a social learning opportunity...

  2. Trip report : Alamosa and Monte Vista National Wildlife Refuges

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report is a summary a trip to Alamosa National Wildlife Refuge and Monte Vista National Wildlife Refuge in 1991, and focuses on the hydrology and soil habitat...

  3. [August 1992 trip report : Kirwin NWR and Rainwater Basin WMD

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This trip report evaluates the current years farming and grazing results for Kirwin National Wildlife Refuge and Rainwater Basin Wetland Management District.

  4. Reducing Carbon Emissions from Shopping Trips: Evidence from China

    National Research Council Canada - National Science Library

    Jing Li; Pingyu Zhang; Kevin Lo; Meng Guo; Mark Wang

    2015-01-01

      With rising income and the emergence of modern shopping centers in urban China, shopping trips by private car becomes more and more common, leading to higher carbon emissions in the transport sector...

  5. Trip to Fish Springs - August 21, 22, 1959

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document discusses field survey results from several trips to Fish Springs National Wildlife Refuge in August 1959. The following topics are outlined; water...

  6. Customer satisfaction with individual shopping trip experiences in grocery retailing

    DEFF Research Database (Denmark)

    Esbjerg, Lars; Grunert, Klaus G; Jensen, Birger Boutrup

    on individual shopping trips is a prerequisite for developing customer loyalty. However, there is surprisingly little research focusing on satisfaction with individual shopping trips. On the contrary, satisfaction is normally conceptualised and studied as an overall evaluation of a given retailer based on all...... mechanisms may be at work than in other retail settings such as themed flagship stores, which are visited less regularly and are oriented more towards creating hedonic shopping experiences. This paper develops a conceptual framework for analysing customer satisfaction with individual shopping trip...... experiences in grocery retailing. The framework makes at least two important contributions to the literature. First, it focuses on customer satisfaction with individual shopping trips whereas previous research and theoretical frameworks have addressed either overall satisfaction with the retailer, service...

  7. [Febuary 1987 trip report : Kirwin National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This trip report from February 2426, 1987 reviews the grazing treatments on various units, the wildlife production goals, and maps of units for Kirwin National...

  8. Prediction of the mechanical behaviour of TRIP steel

    NARCIS (Netherlands)

    Perdahcioglu, Emin Semih; Geijselaers, Hubertus J.M.; Tekkaya, A.E.; Hirt, G.

    2011-01-01

    TRIP steel typically contains four different phases, ferrite, bainite, austenite and martensite. During deformation the metastable retained austenite tends to transform to stable martensite. The accompanying transformation strain has a beneficial effect on the ductility of the steel during forming.

  9. American Samoa Longline Fishery Trip Expenditure (2006 to present)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a time-series dataset for trip expenditure data for the American Samoa-based longline fleet from August 2006 to present. The dataset includes 10 variable...

  10. Alcoholics anonymous and other twelve-step programs in recovery.

    Science.gov (United States)

    Detar, D Todd

    2011-03-01

    Recovery is a new way of life for many patients; a life without substances to alter their moods but with a major change improving the physical, psychological, and emotional stability with improved overall health outcomes. The Twelve Steps of the Alcoholics Anonymous (AA) are the foundation of the AA, describing both the necessary actions and the spiritual basis for the recovery program of the AA. The Twelve Steps of the AA provide a structure for which a patient with alcoholism may turn for an answer to their problem of alcohol use, abuse, or dependence. Copyright © 2011 Elsevier Inc. All rights reserved.

  11. Accommodation of the spinal cat to a tripping perturbation

    Directory of Open Access Journals (Sweden)

    Hui eZhong

    2012-05-01

    Full Text Available Adult cats with a complete spinal cord transection at T12-T13 can relearn over a period of days-to-weeks how to generate full weight-bearing stepping on a treadmill or standing ability if trained specifically for that task. In the present study, we assessed short-term (msec-min adaptations by repetitively imposing a mechanical perturbation on the hindlimb of chronic spinal cats by placing a rod in the path of the leg during the swing phase to trigger a tripping response. The kinematics and EMG were recorded during control (10 steps, trip (1 to 60 steps with various patterns and then release (without any tripping stimulus, 10 to 20 steps sequences. Our data show that the activation patterns and kinematics of the hindlimb in the step cycle immediately following the initial trip (mechanosensory stimulation of the dorsal surface of the paw was modified in a way that increased the probability of avoiding the obstacle in the subsequent step. This indicates that the spinal sensorimotor circuitry reprogrammed the trajectory of the swing following a perturbation prior to the initiation of the swing phase of the subsequent step, in effect attempting to avoid the re-occurrence of the perturbation. The average height of the release steps was elevated compared to control regardless of the pattern and the length of the trip sequences. In addition, the average impact force on the tripping rod tended to be lower with repeated exposure to the tripping stimulus. EMG recordings suggest that the semitendinosus, a primary knee flexor, was a major contributor to the adaptive tripping response. These results demonstrate that the lumbosacral locomotor circuitry can modulate the activation patterns of the hindlimb motor pools within the time frame of single step in a manner that tends to minimize repeated perturbations. Furthermore, these adaptations remained evident for a number of steps after removal of the mechanosensory stimulation.

  12. 2006年Trip-Hop专辑回顾之三

    Institute of Scientific and Technical Information of China (English)

    高尔吉亚

    2007-01-01

    @@ Artist: Antrabata Title:Elephant Reveries Label: Self-Released Date: 2006 My Rating:★★★★ 当最近几年英国本土的Trip-Hop热潮慢慢褪去时,邻居法国那边却开始涌现出一大批地下的Trip-Hop乐队,Antrabata就是其中之一.

  13. Language Travel or Language Tourism: Have Educational Trips Changed So Much?

    Science.gov (United States)

    Laborda, Jesus Garcia

    2007-01-01

    This article points out the changes in organization, students and language learning that language trips, as contrasted with educational trips (of which language trips are a subgroup) have gone through in the last years. The article emphasizes the need to differentiate between language trips and language tourism based on issues of additional…

  14. 41 CFR 302-5.2 - What is the purpose of the househunting trip expenses allowance?

    Science.gov (United States)

    2010-07-01

    ... the househunting trip expenses allowance? 302-5.2 Section 302-5.2 Public Contracts and Property...) ALLOWANCES FOR SUBSISTENCE AND TRANSPORTATION EXPENSES 5-ALLOWANCE FOR HOUSEHUNTING TRIP EXPENSES Employee's Allowance For Househunting Trip Expenses § 302-5.2 What is the purpose of the househunting trip expenses...

  15. 75 FR 29678 - Fisheries of the Northeastern United States; Northeast Multispecies Fishery; Reductions to Trip...

    Science.gov (United States)

    2010-05-27

    ... United States; Northeast Multispecies Fishery; Reductions to Trip Limits for Five Groundfish Stocks... limits: 5,000 lb (2,268.0 kg) per trip for GB winter flounder; and 2,500 lb (1,134.0 kg) per trip for GB..., NMFS (Regional Administrator) to increase or decrease the trip limits for vessels in the common pool to...

  16. 41 CFR 302-5.4 - Who is not eligible for a househunting trip expenses allowance?

    Science.gov (United States)

    2010-07-01

    ... a househunting trip expenses allowance? 302-5.4 Section 302-5.4 Public Contracts and Property...) ALLOWANCES FOR SUBSISTENCE AND TRANSPORTATION EXPENSES 5-ALLOWANCE FOR HOUSEHUNTING TRIP EXPENSES Employee's Allowance For Househunting Trip Expenses § 302-5.4 Who is not eligible for a househunting trip expenses...

  17. A Field Trip without Buses: Connecting Your Students to Scientists through a Virtual Visit

    Science.gov (United States)

    Adedokun, Omolola; Parker, Loran Carleton; Loizzo, Jamie; Burgess, Wilella; Robinson, J. Paul

    2011-01-01

    One school offers zipTrips as an alternative to actual field trips taken outside of school. ZipTrips are web- and broadcast-delivered electronic field trips that include online videos, lesson plans, and a live, 45-minute interactive program consisting of four core components: an in-studio audience, live interaction with scientists, prerecorded…

  18. 76 FR 30035 - Fisheries of the Northeastern United States; Northeast Multispecies Fishery; Trip Limit Increase...

    Science.gov (United States)

    2011-05-24

    ... Northeastern United States; Northeast Multispecies Fishery; Trip Limit Increase for the Common Pool Fishery...), Commerce. ACTION: Temporary rule; inseason adjustment of trip limit. SUMMARY: NMFS increases the trip limit... Regional Administrator (RA) to adjust the trip limits for common pool vessels in order to optimize the...

  19. 41 CFR 302-5.12 - When must my househunting trip be completed?

    Science.gov (United States)

    2010-07-01

    ... househunting trip be completed? 302-5.12 Section 302-5.12 Public Contracts and Property Management Federal... SUBSISTENCE AND TRANSPORTATION EXPENSES 5-ALLOWANCE FOR HOUSEHUNTING TRIP EXPENSES Employee's Allowance For Househunting Trip Expenses § 302-5.12 When must my househunting trip be completed? You and/or your spouse must...

  20. 41 CFR 302-5.3 - Am I eligible for a househunting trip expenses allowance?

    Science.gov (United States)

    2010-07-01

    ... househunting trip expenses allowance? 302-5.3 Section 302-5.3 Public Contracts and Property Management Federal... SUBSISTENCE AND TRANSPORTATION EXPENSES 5-ALLOWANCE FOR HOUSEHUNTING TRIP EXPENSES Employee's Allowance For Househunting Trip Expenses § 302-5.3 Am I eligible for a househunting trip expenses allowance? You are eligible...

  1. 78 FR 54194 - Fisheries of the Northeastern United States; Northeast Multispecies Fishery; Trip Limit...

    Science.gov (United States)

    2013-09-03

    ... Northeastern United States; Northeast Multispecies Fishery; Trip Limit Adjustments for the Common Pool Fishery... percent of its Gulf of Maine (GOM) haddock allocation of 2 mt. Despite a trip limit reduction for SNE/MA... overharvest, the trip limit for SNE/MA winter flounder is reduced to 300 lb (136.1 kg) per trip, and the GOM...

  2. 41 CFR 302-5.7 - Who may travel on a househunting trip at Government expense?

    Science.gov (United States)

    2010-07-01

    ... househunting trip at Government expense? 302-5.7 Section 302-5.7 Public Contracts and Property Management... SUBSISTENCE AND TRANSPORTATION EXPENSES 5-ALLOWANCE FOR HOUSEHUNTING TRIP EXPENSES Employee's Allowance For Househunting Trip Expenses § 302-5.7 Who may travel on a househunting trip at Government expense? Only you and...

  3. Development and formability analysis of TRIP seamless steel tube

    Institute of Scientific and Technical Information of China (English)

    Zhang Zicheng; Zhu Fuxian

    2014-01-01

    In this paper,the production technology of transformation induced plasticity (TRIP) steel was first introduced into the steel tube manufacture field to produce the steel tubes with high strength and plasticity. The TRIP seamless steel tubes with the microstructure of ferrite,bainite,retained austenite and a little martensite were successfully fabricated using a cold-drawn steel tube with two-stage heat treatment technique and continu-ous heat treatment process,respectively. The ring tensile test and cold bend test were carried out to study the formability of the newly developed TRIP seamless steel tube. The results showed that the TRIP seamless steel tubes have a good cold formability,and they are available to be used in the tube hydroforming process. In ad-dition,the equipment of continuous heat treatment developed in the current study can be used to produce TRIP steel tube,and it may serve as an important reference for the industrial production of TRIP steel tube.

  4. Tripping Effects on the Friction Factor in Turbulent Pipe Flows

    Science.gov (United States)

    Al-Salaymeh, A.; Bayoumi, O. A.; Durst, F.; Gad-El-Hak, M.

    2004-11-01

    Tripping devices are usually installed at the entrance of laboratory-scale pipe test sections to obtain a fully developed turbulent flow sooner. The tripping of laminar flow to induce turbulence can be carried out in different ways, such as using cylindrical wires, sand papers, well-organized tape letters, fences, etc. Claims of tripping effects have been made periodically since the classical experiments of Nikuradse (1932), which covered a significant range of Reynolds numbers. NikuradseÂ's data have become the metric by which theories are established, and have also been the subject of intense scrutiny. Several subsequent experiments reported friction factors as much as 5% lower than those measured by Nikuradse, and the authors of those reports attributed the difference to tripping effects. In the present study, measurements with and without ring tripping devices of different blocking areas of 10%, 20%, 30% and 40% have been carried out to determine the effect of entrance condition on the developing flow field in pipes. Along with pressure drop measurements to compute the skin friction, both Pitot tube and hot-wire anemometry measurements have been used to accurately determine the mean velocity profile over the working test section at different Reynolds numbers in the range of 1× 10^5--4.5 × 10^5. The results we obtained suggest that the tripping technique has an insignificant effect on the wall friction factor, in agreement with Nikuradse's original data.

  5. Hybrid intelligent monironing systems for thermal power plant trips

    Science.gov (United States)

    Barsoum, Nader; Ismail, Firas Basim

    2012-11-01

    Steam boiler is one of the main equipment in thermal power plants. If the steam boiler trips it may lead to entire shutdown of the plant, which is economically burdensome. Early boiler trips monitoring is crucial to maintain normal and safe operational conditions. In the present work two artificial intelligent monitoring systems specialized in boiler trips have been proposed and coded within the MATLAB environment. The training and validation of the two systems has been performed using real operational data captured from the plant control system of selected power plant. An integrated plant data preparation framework for seven boiler trips with related operational variables has been proposed for IMSs data analysis. The first IMS represents the use of pure Artificial Neural Network system for boiler trip detection. All seven boiler trips under consideration have been detected by IMSs before or at the same time of the plant control system. The second IMS represents the use of Genetic Algorithms and Artificial Neural Networks as a hybrid intelligent system. A slightly lower root mean square error was observed in the second system which reveals that the hybrid intelligent system performed better than the pure neural network system. Also, the optimal selection of the most influencing variables performed successfully by the hybrid intelligent system.

  6. [The need to develop demographic census systems for Latin America].

    Science.gov (United States)

    Silva, A

    1987-01-01

    The author presents the case for developing new software packages specifically designed to process population census information for Latin America. The focus is on the problems faced by developing countries in handling vast amounts of data in an efficient way. First, the basic methods of census data processing are discussed, then brief descriptions of some of the available software are included. Finally, ways in which data processing programs could be geared toward and utilized for improving the accuracy of Latin American censuses in the 1990s are proposed.

  7. User Oriented Trajectory Search for Trip Recommendation

    KAUST Repository

    Ding, Ruogu

    2012-09-08

    Trajectory sharing and searching have received significant attention in recent years. In this thesis, we propose and investigate the methods to find and recommend the best trajectory to the traveler, and mainly focus on a novel technique named User Oriented Trajectory Search (UOTS) query processing. In contrast to conventional trajectory search by locations (spatial domain only), we consider both spatial and textual domains in the new UOTS query. Given a trajectory data set, the query input contains a set of intended places given by the traveler and a set of textual attributes describing the traveler’s preference. If a trajectory is connecting/close to the specified query locations, and the textual attributes of the trajectory are similar to the traveler’s preference, it will be recommended to the traveler. This type of queries can enable many popular applications such as trip planning and recommendation. There are two challenges in UOTS query processing, (i) how to constrain the searching range in two domains and (ii) how to schedule multiple query sources effectively. To overcome the challenges and answer the UOTS query efficiently, a novel collaborative searching approach is developed. Conceptually, the UOTS query processing is conducted in the spatial and textual domains alternately. A pair of upper and lower bounds are devised to constrain the searching range in two domains. In the meantime, a heuristic searching strategy based on priority ranking is adopted for scheduling the multiple query sources, which can further reduce the searching range and enhance the query efficiency notably. Furthermore, the devised collaborative searching approach can be extended to situations where the query locations are or- dered. Extensive experiments are conducted on both real and synthetic trajectory data in road networks. Our approach is verified to be effective in reducing both CPU time and disk I/O time.

  8. User Oriented Trajectory Search for Trip Recommendation

    KAUST Repository

    Ding, Ruogu

    2012-07-08

    Trajectory sharing and searching have received significant attention in recent years. In this thesis, we propose and investigate the methods to find and recommend the best trajectory to the traveler, and mainly focus on a novel technique named User Oriented Trajectory Search (UOTS) query processing. In contrast to conventional trajectory search by locations (spatial domain only), we consider both spatial and textual domains in the new UOTS query. Given a trajectory data set, the query input contains a set of intended places given by the traveler and a set of textual attributes describing the traveler’s preference. If a trajectory is connecting/close to the specified query locations, and the textual attributes of the trajectory are similar to the traveler’s preference, it will be recommended to the traveler. This type of queries can enable many popular applications such as trip planning and recommendation. There are two challenges in UOTS query processing, (i) how to constrain the searching range in two domains and (ii) how to schedule multiple query sources effectively. To overcome the challenges and answer the UOTS query efficiently, a novel collaborative searching approach is developed. Conceptually, the UOTS query processing is conducted in the spatial and textual domains alternately. A pair of upper and lower bounds are devised to constrain the searching range in two domains. In the meantime, a heuristic searching strategy based on priority ranking is adopted for scheduling the multiple query sources, which can further reduce the searching range and enhance the query efficiency notably. Furthermore, the devised collaborative searching approach can be extended to situations where the query locations are ordered. Extensive experiments are conducted on both real and synthetic trajectory data in road networks. Our approach is verified to be effective in reducing both CPU time and disk I/O time.

  9. Immersive, interactive virtual field trips promote learning

    Science.gov (United States)

    Bruce, G.; Mead, C.; Buxner, S.; Taylor, W.; Semken, S. C.; Anbar, A. D.; Sundstrom, J.

    2016-12-01

    We are assessing the educational effectiveness of a new type of immersive virtual field trip (iVFT) that we are developing, grounded in active, inquiry-based learning, and accessible via web browsers. To this end, we collected data from five high school AP biology classes (n = 153) that were assigned an iVFT lesson focused on life and environment during the Ediacaran time period, 550 million years ago. Students explore a series of fossil beds using high resolution imagery and video acquired during a field expedition to the Nilpena site in the Flinders Ranges, South Australia. They first encounter an immersive spherical image, which orients them to the area. Then, they identify fossils in the iVFT, using a dichotomous key. Finally, they explore an interactive simulation of this ancient ecosystem. The average time spent on the experience was approximately two hours. The learning objective is for students to be able to describe the Ediacaran ecosystem preserved in the rocks at Nilpena. To assess this outcome, we administered identical pre- and post-lesson quizzes to students. Results showed a statistically significant improvement on the six-item quiz with a normalized gain of 0.96 (pre-lesson mean: 2.4, post-lesson mean: 5.9, p students demonstrated an increase in score or maintained a perfect score. The pre-lesson scores are close to what would be expected from guessing, so these results represent a substantial growth in understanding. These findings encourage the use of iVFT-based learning experiences in education (an evolving suite is publicly available at http://vft.asu.edu). In the future, we will explore in more detail which aspects of the experience provide greatest educational benefit, and the effectiveness in teaching scientific reasoning skills in addition to content knowledge. To answer these questions, we will supplement content-based questions with mixed-methods data including interviews.

  10. The strong coupling regime of twelve flavors QCD

    NARCIS (Netherlands)

    Silva, Tiago Nunes da; Pallante, Elisabetta

    2012-01-01

    We summarize the results recently reported in Ref.[1] [A. Deuzeman, M.P. Lombardo, T. Nunes da Silva and E. Pallante,"The bulk transition of QCD with twelve flavors and the role of improvement"] for the SU(3) gauge theory with Nf=12 fundamental flavors, and we add some numerical evidence and theoret

  11. EFFORTS Technical annex for the twelve month progress report

    DEFF Research Database (Denmark)

    Andreasen, Jan Lasson; Eriksen, Morten; Thomas christensen, Thomas Vennick;

    The present report is documentation for the work carried out at DTU during the second year of project activity. The report describes the work completed by DTU in general as well as on the active sub-tasks within materials properties, friction modelling and physical modelling, over the last twelve...

  12. Human Evolution in Science Textbooks from Twelve Different Countries

    Science.gov (United States)

    Quessada, Marie-Pierre; Clement, Pierre; Oerke, Britta; Valente, Adriana

    2008-01-01

    What kinds of images of human beings illustrate human evolution in school textbooks? A comparison between the textbooks of eighteen different countries (twelve European countries and six non-European countries) was attempted. In six countries (Algeria, Malta, Morocco, Mozambique, Portugal, and Tunisia), we did not find any chapter on the topic of…

  13. Bibliography of Spanish Materials for Students, Grades Seven through Twelve.

    Science.gov (United States)

    California State Dept. of Education, Sacramento.

    This annotated bibliography of Spanish materials for students in grades seven through twelve is divided into the following categories: (1) Art, Drama, Music, and Poetry; (2) Books in Series; (3) Culture; (4) Dictionaries and Encyclopedias; (5) Literature; (6) Mathematics; (7) Physical Education, Health, and Recreation; (8) Reading and Language…

  14. Socio-economic determinants of tourism trips by Jambi residents

    Directory of Open Access Journals (Sweden)

    Hardiani Hardiani

    2017-06-01

    Full Text Available Abstrak Penelitian ini bertujuan untuk menganalisis: 1 karakteristik perjalanan penduduk di Provinsi Jambi baik untuk tujuan wisata maupun tujuan lainnya; 2 karakteristik penduduk yang melakukan perjalanan wisata di Provinsi Jambi; 3 Faktor-faktor sosial ekonomi yang mempengaruhi perjalanan wisata penduduk di Provinsi Jambi. Data bersumber dari “raw data” SUSENAS Tahun 2015 Provinsi Jambi. Untuk menganalisis karakteristik perjalanan penduduk, dan karakteristik individu wisatawan dilakukan secara deskriptif. Untuk menganalisis faktor-faktor yang mempengaruhi perjalanan wisata penduduk digunakan model regresi binary logistik. Hasil penelitian menemukan: 1. Aktivitas perjalanan penduduk di Provinsi Jambi masih relatif rendah. Hanya 14,14 persen dari total penduduk yang pernah melakukan perjalanan dalam enam bulan terakhir; 2  Selain rendahnya aktivitas perjalanan tersebut, aktivitas perjalanan untuk wisata juga masih relatif terbatas. Hanya 17,79 persen total penduduk yang melakukan perjalanan untuk berwisata; 3 Objek tujuan wisata penduduk Provinsi Jambi didominasi objek wisata yang ada di Provinsi Jambi sendiri, selain objek wisata yang ada di provinsi-provinsi berdekatan yaitu Sumatera Selatan, Sumatera Barat dan Bengkulu; 4. Perjalanan wisata penduduk didominasi oleh perjalanan wisata keluarga, sehingga relatif didominasi oleh anak-anak dan orang tua; 5 Faktor-faktor sosial ekonomi yang berpengaruh nyata terhadap perjalanan wisata penduduk adalah umur, pendidikan dan status dalam keluarga. Selain itu, terdapat perbedaan probabilita perjalanan penduduk untuk wisata antara kabupaten/kota di Provinsi Jambi. Kata Kunci: objek wisata, wisata keluarga, perjalanan wisata    Abstract This study aims to analyze: 1 characteristics of trips generated by Jambi residents both for tourism purposes or other purposes; 2 characteristics of Jambi residents going on a tourism trip; 3 Socio-economic factors affecting tourism trips generated by Jambi

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