WorldWideScience

Sample records for va zoodrasi dar

  1. OneVA Pharmacy

    Data.gov (United States)

    Department of Veterans Affairs — The OneVA Pharmacy application design consists of 3 main components: VistA Medication Profile screen, Health Data Record Clinical Data Service (HDR/CDS), and OneVA...

  2. 2013 USGS Lidar: Norfolk (VA)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Laser Mapping Specialist, Inc (LMSI) and The Atlantic Group (Atlantic) provided high accuracy, calibrated multiple return LiDAR for roughly 1,130 square miles around...

  3. VA National Bed Control System

    Data.gov (United States)

    Department of Veterans Affairs — The VA National Bed Control System records the levels of operating, unavailable and authorized beds at each VAMC, and it tracks requests for changes in these levels....

  4. The Geometric-VaR Backtesting Method

    DEFF Research Database (Denmark)

    Wei, Wei; Pelletier, Denis

    2014-01-01

    This paper develops a new test to evaluate Value af Risk (VaR) forecasts. VaR is a standard risk measure widely utilized by financial institutions and regulators, yet estimating VaR is a challenging problem, and popular VaR forecast relies on unrealistic assumptions. Hence, assessing...

  5. Report of VA Medical Training Programs

    Data.gov (United States)

    Department of Veterans Affairs — The Report of VA Medical Training Programs Database is used to track medical center health services trainees and VA physicians serving as faculty. The database also...

  6. Non-VA Hospital System (NVH)

    Data.gov (United States)

    Department of Veterans Affairs — The Veterans Health Administration (VHA) pays for care provided to VA beneficiaries in non-VA hospitals through its contract hospitalization program as mandated by...

  7. 2013 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Tulalip Partnership

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In October 2012, WSI (Watershed Sciences, Inc.) was contracted by the Puget Sound LiDAR Consortium (PSLC)to collect Light Detection and Ranging (LiDAR) data on a...

  8. 2014 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Willapa Valley (Delivery 1)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In January, 2014 WSI, a Quantum Spatial (QSI) company, was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR) data...

  9. 2013 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Saddle Mountain

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In October 2013, WSI, a Quantum Spatial Company (QSI), was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR) data...

  10. 2015 Puget Sound LiDAR Consortium (PSLC) LiDAR: WA DNR Lands (P2)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In June 2014, WSI, a Quantum Spatial Inc. (QSI) company, was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR)...

  11. 2015 Puget Sound LiDAR Consortium (PSLC) LiDAR: WA DNR Lands (P1)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In June 2014, WSI, a Quantum Spatial Inc. (QSI) company, was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR)...

  12. 2009 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Lewis County, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data for the Lewis County survey area for the Puget Sound LiDAR Consortium. This data...

  13. Comparison of outcomes for veterans receiving dialysis care from VA and non-VA providers

    Directory of Open Access Journals (Sweden)

    Wang Virginia

    2013-01-01

    Full Text Available Abstract Background Demand for dialysis treatment exceeds its supply within the Veterans Health Administration (VA, requiring VA to outsource dialysis care by purchasing private sector dialysis for veterans on a fee-for-service basis. It is unclear whether outcomes are similar for veterans receiving dialysis from VA versus non-VA providers. We assessed the extent of chronic dialysis treatment utilization and differences in all-cause hospitalizations and mortality between veterans receiving dialysis from VA versus VA-outsourced providers. Methods We constructed a retrospective cohort of veterans in 2 VA regions who received chronic dialysis treatment financed by VA between January 2007 and December 2008. From VA administrative data, we identified veterans who received outpatient dialysis in (1 VA, (2 VA-outsourced settings, or (3 both (“dual” settings. In adjusted analyses, we used two-part and logistic regression to examine associations between dialysis setting and all-cause hospitalization and mortality one-year from veterans’ baseline dialysis date. Results Of 1,388 veterans, 27% received dialysis exclusively in VA, 47% in VA-outsourced settings, and 25% in dual settings. Overall, half (48% were hospitalized and 12% died. In adjusted analysis, veterans in VA-outsourced settings incurred fewer hospitalizations and shorter hospital stays than users of VA due to favorable selection. Dual-system dialysis patients had lower one-year mortality than veterans receiving VA dialysis. Conclusions VA expenditures for “buying” outsourced dialysis are high and increasing relative to “making” dialysis treatment within its own system. Outcomes comparisons inform future make-or-buy decisions and suggest the need for VA to consider veterans’ access to care, long-term VA savings, and optimal patient outcomes in its placement decisions for dialysis services.

  14. Comparison of outcomes for veterans receiving dialysis care from VA and non-VA providers.

    Science.gov (United States)

    Wang, Virginia; Maciejewski, Matthew L; Patel, Uptal D; Stechuchak, Karen M; Hynes, Denise M; Weinberger, Morris

    2013-01-18

    Demand for dialysis treatment exceeds its supply within the Veterans Health Administration (VA), requiring VA to outsource dialysis care by purchasing private sector dialysis for veterans on a fee-for-service basis. It is unclear whether outcomes are similar for veterans receiving dialysis from VA versus non-VA providers. We assessed the extent of chronic dialysis treatment utilization and differences in all-cause hospitalizations and mortality between veterans receiving dialysis from VA versus VA-outsourced providers. We constructed a retrospective cohort of veterans in 2 VA regions who received chronic dialysis treatment financed by VA between January 2007 and December 2008. From VA administrative data, we identified veterans who received outpatient dialysis in (1) VA, (2) VA-outsourced settings, or (3) both ("dual") settings. In adjusted analyses, we used two-part and logistic regression to examine associations between dialysis setting and all-cause hospitalization and mortality one-year from veterans' baseline dialysis date. Of 1,388 veterans, 27% received dialysis exclusively in VA, 47% in VA-outsourced settings, and 25% in dual settings. Overall, half (48%) were hospitalized and 12% died. In adjusted analysis, veterans in VA-outsourced settings incurred fewer hospitalizations and shorter hospital stays than users of VA due to favorable selection. Dual-system dialysis patients had lower one-year mortality than veterans receiving VA dialysis. VA expenditures for "buying" outsourced dialysis are high and increasing relative to "making" dialysis treatment within its own system. Outcomes comparisons inform future make-or-buy decisions and suggest the need for VA to consider veterans' access to care, long-term VA savings, and optimal patient outcomes in its placement decisions for dialysis services.

  15. Infrastructure Investment Protection with LiDAR

    Science.gov (United States)

    2012-10-15

    The primary goal of this research effort was to explore the wide variety of uses of LiDAR technology and to evaluate their : applicability to NCDOT practices. NCDOT can use this information about LiDAR in determining how and when the : technology can...

  16. Saginaw Bay, MI LiDAR

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME:(NRCS) Saginaw Bay, MI LiDAR LiDAR Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G11PD01254 Woolpert Order...

  17. OneVA EA Vision and Strategy

    Data.gov (United States)

    Department of Veterans Affairs — The outcomes/goals supported by effective use of an EA are: Improved Service Delivery, Functional Integration, Resource Optimization and Authoritative Reference. VA...

  18. Geographic Distribution of VA Expenditures FY 2016

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  19. Geographic Distribution of VA Expenditures FY2010

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  20. Geographic Distribution of VA Expenditures FY2012

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  1. Geographic Distribution of VA Expenditures FY2004

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  2. Geographic Distribution of VA Expenditures FY1998

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  3. Geographic Distribution of VA Expenditures FY2009

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  4. Geographic Distribution of VA Expenditures FY2013

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  5. Geographic Distribution of VA Expenditures FY2002

    Data.gov (United States)

    Department of Veterans Affairs — This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction,...

  6. 2010 VA Information Technologies Agency (VITA)/VA Geographic Information Network (VGIN) Lidar: Eastern Shore, VA (Accomack and Northampton Counties)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Virginia Geographic Information Network (VGIN) contracted with Sanborn to provide LiDAR mapping services for Accomack and Northampton counties on the eastern...

  7. Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR

    Science.gov (United States)

    Reddy, Ashwan D.; Hawbaker, Todd J.; Wurster, F.; Zhu, Zhiliang; Ward, S.; Newcomb, Doug; Murray, R.

    2015-01-01

    Peatlands are a major reservoir of global soil carbon, yet account for just 3% of global land cover. Human impacts like draining can hinder the ability of peatlands to sequester carbon and expose their soils to fire under dry conditions. Estimating soil carbon loss from peat fires can be challenging due to uncertainty about pre-fire surface elevations. This study uses multi-temporal LiDAR to obtain pre- and post-fire elevations and estimate soil carbon loss caused by the 2011 Lateral West fire in the Great Dismal Swamp National Wildlife Refuge, VA, USA. We also determine how LiDAR elevation error affects uncertainty in our carbon loss estimate by randomly perturbing the LiDAR point elevations and recalculating elevation change and carbon loss, iterating this process 1000 times. We calculated a total loss using LiDAR of 1.10 Tg C across the 25 km2 burned area. The fire burned an average of 47 cm deep, equivalent to 44 kg C/m2, a value larger than the 1997 Indonesian peat fires (29 kg C/m2). Carbon loss via the First-Order Fire Effects Model (FOFEM) was estimated to be 0.06 Tg C. Propagating the LiDAR elevation error to the carbon loss estimates, we calculated a standard deviation of 0.00009 Tg C, equivalent to 0.008% of total carbon loss. We conclude that LiDAR elevation error is not a significant contributor to uncertainty in soil carbon loss under severe fire conditions with substantial peat consumption. However, uncertainties may be more substantial when soil elevation loss is of a similar or smaller magnitude than the reported LiDAR error.

  8. Iowa LiDAR Mapping Project

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — This is collection level metadata for LAS and ASCII data files from the statewide Iowa Lidar Project. The Iowa Light Detection and Ranging (LiDAR) Project collects...

  9. USGS Atchafalaya 2 LiDAR

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) dataset is a survey of the Atchafalaya Basin project area. The entire survey area for Atchafalaya encompasses approximately...

  10. Hawaii DAR Dealer Reporting System Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In 2000 January, the Hawaii Division of Aquatic Resources (DAR) implemented a computerized data processing system for fish dealer data collected state-wide. Hawaii...

  11. University of Dar es Salaam Library Journal

    African Journals Online (AJOL)

    University of Dar es Salaam Library Journal. ... PROMOTING ACCESS TO AFRICAN RESEARCH ... These include organization and dissemination of information, library education and training, information technology and its application in ...

  12. Has the VA Become a White Elephant?

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2016-11-01

    Full Text Available No abstract available. Article truncated at 150 words. As I write this Dennis Wagner is publishing a series of articles in the Arizona Republic describing his quest to find out if care at VA hospitals have improved over the last 2 years (1. To begin the article Wagner describes the fable of the King of Siam who presented albino pachyderms to his enemies knowing they would be bankrupted because the cost of food and care outweighed all usefulness. A modern expression derives from this parable: the white elephant. The Department of Veterans Affairs (VA has prided itself on being a leader in healthcare. It is the largest healthcare system in the US, implemented the first electronic medical record, and more than 70 percent of all US doctors have received training in the VA healthcare system (2. This year the VA is celebrating the 70th anniversary of its partnership with US medical schools. Beginning in 1946, the VA partnered ...

  13. KENO-VA-PVM KENO-VA-SM, KENO5A for Parallel Processors

    International Nuclear Information System (INIS)

    Ramon, Javier; Pena, Jorge

    2002-01-01

    1 - Description of program or function: This package contains versions KENO-Va-SM (Shared Memory version) and KENO-Va-PVM (Parallel Virtual Machine version) based on SCALE-4.1. KENO-Va three-dimensional Boltzmann transport equation for neutron multiplying systems. The primary purpose of KENO-Va is to determine k-effective. Other calculated quantities include lifetime and generation time, energy-dependent leakages, energy- and region-dependent absorptions, fissions, fluxes, and fission densities. 2 - Method of solution: KENO-Va employs the Monte Carlo technique

  14. 75 FR 78806 - Agency Information Collection (Create Payment Request for the VA Funding Fee Payment System (VA...

    Science.gov (United States)

    2010-12-16

    ... Payment Request for the VA Funding Fee Payment System (VA FFPS); a Computer Generated Funding Fee Receipt.... 2900-0474.'' SUPPLEMENTARY INFORMATION: Title: Create Payment Request for the VA Funding Fee Payment System (VA FFPS); a Computer Generated Funding Fee Receipt, VA Form 26-8986. OMB Control Number: 2900...

  15. Technology Reference Model (TRM) Reports: VA Category Mapping Report

    Data.gov (United States)

    Department of Veterans Affairs — The One VA Enterprise Architecture (OneVA EA) is a comprehensive picture of the Department of Veterans Affairs' (VA) operations, capabilities and services and the...

  16. Technology Reference Model (TRM) Reports: VA Category Framework Count Report

    Data.gov (United States)

    Department of Veterans Affairs — The One VA Enterprise Architecture (OneVA EA) is a comprehensive picture of the Department of Veterans Affairs' (VA) operations, capabilities and services and the...

  17. VA Veterans Health Administration Access Data

    Data.gov (United States)

    Department of Veterans Affairs — At the Department of Veterans Affairs (VA), our most important mission is to provide the high quality health care and benefits Veterans have earned and deserve —...

  18. VA Personal Health Record Sample Data

    Data.gov (United States)

    Department of Veterans Affairs — My HealtheVet (www.myhealth.va.gov) is a Personal Health Record portal designed to improve the delivery of health care services to Veterans, to promote health and...

  19. Complex Urban LiDAR Data Set

    OpenAIRE

    Jeong, Jinyong; Cho, Younggun; Shin, Young-Sik; Roh, Hyunchul; Kim, Ayoung

    2018-01-01

    This paper presents a Light Detection and Ranging (LiDAR) data set that targets complex urban environments. Urban environments with high-rise buildings and congested traffic pose a significant challenge for many robotics applications. The presented data set is unique in the sense it is able to capture the genuine features of an urban environment (e.g. metropolitan areas, large building complexes and underground parking lots). Data of two-dimensional (2D) and threedimensional (3D) LiDAR, which...

  20. Assessment on Vulnerable Youths Integration to Dar es Salaam ...

    African Journals Online (AJOL)

    Assessment on Vulnerable Youths Integration to Dar es Salaam Solid Waste ... existing municipal solid waste management crisis facing Dar es Salaam City using ... enabling environment of turning rampant solid waste collection a commercial ...

  1. LiDAR data for the Delta Area of California

    Data.gov (United States)

    California Natural Resource Agency — LiDAR data for the Delta Area of California from the California Department of Water Resources. Bare earth grids from LiDAR.This data is in ESRI Grid format with 2...

  2. LiDAR utility for natural resource managers

    Science.gov (United States)

    Andrew Thomas Hudak; Jeffrey Scott Evans; Alistair Mattthew Stuart. Smith

    2009-01-01

    Applications of LiDAR remote sensing are exploding, while moving from the research to the operational realm. Increasingly, natural resource managers are recognizing the tremendous utility of LiDAR-derived information to make improved decisions. This review provides a cross-section of studies, many recent, that demonstrate the relevance of LiDAR across a suite of...

  3. 2012 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Quinault River Watershed, Washington (Delivery 1)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on the Quinault watershed survey area for the Puget Sound LiDAR Consortium. This...

  4. 2014 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Cedar River Watershed (Delivery 2)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In September 2013, WSI, a Quantum Spatial company (QSI), was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR)...

  5. 2014 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Cedar River Watershed (Delivery 1)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In September 2013, WSI, a Quantum Spatial company (QSI), was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR)...

  6. Development of digital subtraction system DAR-1200

    International Nuclear Information System (INIS)

    Kawai, Masumi; Shimizu, Yasumitsu; Ozaki, Takeshi; Sawada, Hiroshi; Uzuyama, Kazuhiro; Nishioka, Hiroyuki

    1989-01-01

    Digital subtraction angiography (DSA) has been of widespread use clinically, and it has attracted considerable attention in angiographic examination today. The merits of Shimadzu high resolution digital subtraction system DAR-1200 are reported in this paper. Furthermore, the principle and clinical usefullness of a new method of DSA called the Peak-Hold DSA are explained especially in details. (author)

  7. Excreta Disposal in Dar-es-salaam

    NARCIS (Netherlands)

    Chaggu, E.; Mashouri, D.; Buuren, van J.C.L.; Sanders, W.T.M.; Lettinga, G.

    2002-01-01

    The sociocultural and socioeconomic situation of sanitation in Dar-es-Salaam (Dsm), Tanzania, was studied with explicit emphasis on pit-latrines. Without considering the sociocultural conditions, the so-called best solution might not be the right one. Therefore, in order to achieve the intended

  8. Orienteerumiskaart vs. LiDAR / Marek Karm

    Index Scriptorium Estoniae

    Karm, Marek

    2012-01-01

    Bakalaureusetööst, mille eesmärk oli võrrelda orienteerumiskaardi reljeefi LiDAR-i andmete põhjal saadava reljeefimudeliga ning leida vastus küsimusele, kas o-kaart võib olla kasulik kooste- või kontrollmaterjal mistahes reljeefimudelile

  9. 2000 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Kitsap Peninsula, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TerraPoint surveyed and created this data for the Puget Sound LiDAR Consortium under contract. The area surveyed is approximately 1,146 square miles and covers part...

  10. 2003 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Snohomish County, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TerraPoint surveyed and created this data for the Puget Sound LiDAR Consortium under contract. The area surveyed is approximately 167 square miles and covers a...

  11. 2011 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Rattlesnake

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on six days between September 15th and November 5th, and from November 6th - 13th,...

  12. 2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: North Puget Sound Lowlands

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Terrapoint collected Light Detection and Ranging (LiDAR) data contributing to the Puget Sound Lowlands project of 2005. Arlington, City of Snohomish, Snohomish...

  13. 2003 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Lewis County, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TerraPoint surveyed and created this data for the Puget Sound LiDAR Consortium under contract. The area surveyed is approximately 100 square miles and covers part of...

  14. 2013 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Nooksack

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In July 2012, WSI (Watershed Sciences, Inc.) was contracted by the Puget Sound LiDARConsortium (PSLC) to collect Light Detection and Ranging (LiDAR) data on a...

  15. 2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Lewis County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Terrapoint collected Light Detection and Ranging (LiDAR) data for the Lewis County project of 2005. The project site covered approximately 223 square miles, divided...

  16. 2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Olympic Peninsula

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Terrapoint collected Light Detection and Ranging (LiDAR) data for the Olympic Peninsula project of 2005, totaling approximately 114.59 sq mi: 24.5 for Clallam...

  17. 2012 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Upper Naches River, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data of the Upper Naches River Valley and Nile Slide area of interest on September 30th,...

  18. 2013 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Entiat

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In October 2012, WSI (Watershed Sciences, Inc.) was contracted by the Puget Sound LiDARConsortium (PSLC) to collect Light Detection and Ranging (LiDAR) data for the...

  19. Do Older Rural and Urban Veterans Experience Different Rates of Unplanned Readmission to VA and Non-VA Hospitals?

    Science.gov (United States)

    Weeks, William B.; Lee, Richard E.; Wallace, Amy E.; West, Alan N.; Bagian, James P.

    2009-01-01

    Context: Unplanned readmission within 30 days of discharge is an indicator of hospital quality. Purpose: We wanted to determine whether older rural veterans who were enrolled in the VA had different rates of unplanned readmission to VA or non-VA hospitals than their urban counterparts. Methods: We used the combined VA/Medicare dataset to examine…

  20. 75 FR 61252 - Proposed Information Collection (Create Payment Request for the VA Funding Fee Payment System (VA...

    Science.gov (United States)

    2010-10-04

    ... Payment Request for the VA Funding Fee Payment System (VA FFPS); A Computer Generated Funding Fee Receipt... Payment Request for the VA Funding Fee Payment System (VA FFPS); A Computer Generated Funding Fee Receipt... information through the Federal Docket Management System (FDMS) at http://www.Regulations.gov or to Nancy J...

  1. 78 FR 59771 - Proposed Information Collection (Create Payment Request for the VA Funding Fee Payment System (VA...

    Science.gov (United States)

    2013-09-27

    ... Payment Request for the VA Funding Fee Payment System (VA FFPS); a Computer Generated Funding Fee Receipt.... Title: Create Payment Request for the VA Funding Fee Payment System (VA FFPS); A Computer Generated... through the Federal Docket Management System (FDMS) at www.Regulations.gov or to Nancy J. Kessinger...

  2. 75 FR 61859 - Proposed Information Collection (Create Payment Request for the VA Funding Fee Payment System (VA...

    Science.gov (United States)

    2010-10-06

    ... Payment Request for the VA Funding Fee Payment System (VA FFPS); A Computer Generated Funding Fee Receipt... Payment Request for the VA Funding Fee Payment System (VA FFPS); A Computer Generated Funding Fee Receipt... information through the Federal Docket Management System (FDMS) at http://www.Regulations.gov or to Nancy J...

  3. VaST: A variability search toolkit

    Science.gov (United States)

    Sokolovsky, K. V.; Lebedev, A. A.

    2018-01-01

    Variability Search Toolkit (VaST) is a software package designed to find variable objects in a series of sky images. It can be run from a script or interactively using its graphical interface. VaST relies on source list matching as opposed to image subtraction. SExtractor is used to generate source lists and perform aperture or PSF-fitting photometry (with PSFEx). Variability indices that characterize scatter and smoothness of a lightcurve are computed for all objects. Candidate variables are identified as objects having high variability index values compared to other objects of similar brightness. The two distinguishing features of VaST are its ability to perform accurate aperture photometry of images obtained with non-linear detectors and handle complex image distortions. The software has been successfully applied to images obtained with telescopes ranging from 0.08 to 2.5 m in diameter equipped with a variety of detectors including CCD, CMOS, MIC and photographic plates. About 1800 variable stars have been discovered with VaST. It is used as a transient detection engine in the New Milky Way (NMW) nova patrol. The code is written in C and can be easily compiled on the majority of UNIX-like systems. VaST is free software available at http://scan.sai.msu.ru/vast/.

  4. Novel Methods for Measuring LiDAR

    Science.gov (United States)

    Ayrey, E.; Hayes, D. J.; Fraver, S.; Weiskittel, A.; Cook, B.; Kershaw, J.

    2017-12-01

    The estimation of forest biometrics from airborne LiDAR data has become invaluable for quantifying forest carbon stocks, forest and wildlife ecology research, and sustainable forest management. The area-based approach is arguably the most common method for developing enhanced forest inventories from LiDAR. It involves taking a series of vertical height measurements of the point cloud, then using those measurements with field measured data to develop predictive models. Unfortunately, there is considerable variation in methodology for collecting point cloud data, which can vary in pulse density, seasonality, canopy penetrability, and instrument specifications. Today there exists a wealth of public LiDAR data, however the variation in acquisition parameters makes forest inventory prediction by traditional means unreliable across the different datasets. The goal of this project is to test a series of novel point cloud measurements developed along a conceptual spectrum of human interpretability, and then to use the best measurements to develop regional enhanced forest inventories on Northern New England's and Atlantic Canada's public LiDAR. Similarly to a field-based inventory, individual tree crowns are being segmented, and summary statistics are being used as covariates. Established competition and structural indices are being generated using each tree's relationship to one another, whilst existing allometric equations are being used to estimate diameter and biomass of each tree measured in the LiDAR. Novel metrics measuring light interception, clusteredness, and rugosity are also being measured as predictors. On the other end of the human interpretability spectrum, convolutional neural networks are being employed to directly measure both the canopy height model, and the point clouds by scanning each using two and three dimensional kernals trained to identify features useful for predicting biological attributes such as biomass. Predictive models will be trained and

  5. The VA mission act: Funding to fail?

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2018-06-01

    Full Text Available No abstract available. Article truncated after 150 words. Yesterday on D-Day, the 74th anniversary of the invasion of Normandy, President Trump signed the VA Mission Act. The law directs the VA to combine a number of existing private-care programs, including the so-called Choice program, which was created in 2014 after veterans died waiting for appointments at the Phoenix VA (1. During the signing Trump touted the new law saying “there has never been anything like this in the history of the VA” and saying that veterans “can go right outside [the VA] to a private doctor”-but can they? Although the bill authorizes private care, it appropriates no money to pay for it. Although a bipartisan plan to fund the expansion is proposed in the House, the White House has been lobbying Republicans to vote the plan down (2. Instead Trump has been asking Congress to pay for veteran’s programs by cutting spending elsewhere (2. We in Arizona are …

  6. Assessing the quality of VA Human Research Protection Programs: VA vs. affiliated University Institutional Review Board.

    Science.gov (United States)

    Tsan, Min-Fu; Nguyen, Yen; Brooks, Robert

    2013-04-01

    We compared the Human Research Protection Program (HRPP) quality indicator data of the Department of Veterans Affairs (VA) facilities using their own VA institutional review boards (IRBs) with those using affiliated university IRBs. From a total of 25 performance metrics, 13 did not demonstrate statistically significant differences, while 12 reached statistically significance differences. Among the 12 with statistically significant differences, facilities using their own VA IRBs performed better on four of the metrics, while facilities using affiliate IRBs performed better on eight. However, the absolute difference was small (0.2-2.7%) in all instances, suggesting that they were of no practical significance. We conclude that it is acceptable for facilities to use their own VA IRBs or affiliated university IRBs as their IRBs of record.

  7. 38 CFR 74.27 - How will VA store information?

    Science.gov (United States)

    2010-07-01

    ... (CONTINUED) VETERANS SMALL BUSINESS REGULATIONS Records Management § 74.27 How will VA store information? VA... examination visits will be scanned onto portable media and fully secured in the Center for Veterans Enterprise...

  8. 77 FR 67063 - VA Directive 0005 on Scientific Integrity

    Science.gov (United States)

    2012-11-08

    ... in multiple areas, including data integrity, ethics, privacy, and human research protections, as well... replace the Association for the Accreditation of Human Research Protection Programs (AAHRPP) with Alion... human research protection programs. VA Response: VA is currently reviewing its accreditation...

  9. Accessing VA Healthcare During Large-Scale Natural Disasters.

    Science.gov (United States)

    Der-Martirosian, Claudia; Pinnock, Laura; Dobalian, Aram

    2017-01-01

    Natural disasters can lead to the closure of medical facilities including the Veterans Affairs (VA), thus impacting access to healthcare for U.S. military veteran VA users. We examined the characteristics of VA patients who reported having difficulty accessing care if their usual source of VA care was closed because of natural disasters. A total of 2,264 veteran VA users living in the U.S. northeast region participated in a 2015 cross-sectional representative survey. The study used VA administrative data in a complex stratified survey design with a multimode approach. A total of 36% of veteran VA users reported having difficulty accessing care elsewhere, negatively impacting the functionally impaired and lower income VA patients.

  10. Troubles continue for the Phoenix VA

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2014-10-01

    Full Text Available No abstract available. Article truncated after 150 words. According to the Joint Commission on the Accreditation of Healthcare Organizations (Joint Commission, JCAHO, an independent organization that reviews hospitals, the Phoenix VA does not comply with U.S. standards for safety, patient care and management (1. The hospital was at the epicenter of the national scandal over the quality of care being afforded to the nation's veterans where the now notorious practice of double-booking patient appointments was first exposed. The hospital's indifferent management provoked congressional investigations that uncovered still more system-wide abuses leading to the removal of the hospital director and the resignation of then VA secretary, Eric Shinseki. The hospital maintains its accreditation but with a follow-up survey in 1-6 months where it must show that it has successfully addressed the 13 identified problems (1. Inspectors who conducted the review in July found that VA employees were unable to report concerns "without retaliatory action from the hospital." Other alarming ...

  11. 2004 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Portland, Oregon

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The all returns ASCII files contain the X,Y,Z values of all the LiDAR returns collected during the survey mission. In addition each return also has a time stamp,...

  12. VA announces aggressive new approach to produce rapid improvements in VA medical centers

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2018-02-01

    Full Text Available No abstract available. Article truncated at 150 words. The U.S. Department of Veterans Affairs (VA announced steps that it is taking as part of an aggressive new approach to produce rapid improvements at VA’s low-performing medical facilities nationwide (1. VA defines its low-performing facilities as those medical centers that receive the lowest score in its Strategic Analytics for Improvement and Learning (SAIL star rating system, or a one-star rating out of five. The SAIL star rating was initiated in 2016 and uses a variety of measures including mortality, length of hospital stay, readmission rates, hospital complications, physician productivity and efficiency. A complete listing of the VA facilities, their star ratings and the metrics used to determine the ratings is available through the end of fiscal year 2017 (2. Based on the latest ratings, the VA currently has 15 one-star facilities including Denver, Loma Linda, and Phoenix in the Southwest (Table 1. Table 1. VA facilities with one-star ratings …

  13. VA Vascular Injury Study (VAVIS): VA-DoD extremity injury outcomes collaboration.

    Science.gov (United States)

    Shireman, Paula K; Rasmussen, Todd E; Jaramillo, Carlos A; Pugh, Mary Jo

    2015-02-03

    Limb injuries comprise 50-60% of U.S. Service member's casualties of wars in Afghanistan and Iraq. Combat-related vascular injuries are present in 12% of this cohort, a rate 5 times higher than in prior wars. Improvements in medical and surgical trauma care, including initial in-theatre limb salvage approaches (IILS) have resulted in improved survival and fewer amputations, however, the long-term outcomes such as morbidity, functional decline, and risk for late amputation of salvaged limbs using current process of care have not been studied. The long-term care of these injured warfighters poses a significant challenge to the Department of Defense (DoD) and Department of Veterans Affairs (VA). The VA Vascular Injury Study (VAVIS): VA-DoD Extremity Injury Outcomes Collaborative, funded by the VA, Health Services Research and Development Service, is a longitudinal cohort study of Veterans with vascular extremity injuries. Enrollment will begin April, 2015 and continue for 3 years. Individuals with a validated extremity vascular injury in the Department of Defense Trauma Registry will be contacted and will complete a set of validated demographic, social, behavioral, and functional status measures during interview and online/ mailed survey. Primary outcome measures will: 1) Compare injury, demographic and geospatial characteristics of patients with IILS and identify late vascular surgery related limb complications and health care utilization in Veterans receiving VA vs. non-VA care, 2) Characterize the preventive services received by individuals with vascular repair and related outcomes, and 3) Describe patient-reported functional outcomes in Veterans with traumatic vascular limb injuries. This study will provide key information about the current process of care for Active Duty Service members and Veterans with polytrauma/vascular injuries at risk for persistent morbidity and late amputation. The results of this study will be the first step for clinicians in VA and

  14. Liquid waste management: The case of Bahir Dar, Ethiopia ...

    African Journals Online (AJOL)

    Background: Human beings pollute the environment with their industrial and domestic wastes. In Bahir Dar Town there is no conventional municipal waste water collection and treatment system. Objective: The aim of this study was to describe the liquid waste disposal practices of the residents of Bahir Dar Town and to ...

  15. Analysis of inflow parameters using LiDARs

    NARCIS (Netherlands)

    Giyanani, A.H.; Bierbooms, W.A.A.M.; Van Bussel, G.J.W.

    2014-01-01

    Remote sensing of the atmospheric variables with the use of LiDAR is a relatively new technique for wind resource assessment and oncoming wind prediction in wind energy. The validation of LiDAR measurements and comparisons with other sensing elements thus, is of high importance for further

  16. 'Dar' + gerund in Ecuadorian Highland Spanish: contact-induced grammaticalization?

    NARCIS (Netherlands)

    Olbertz, H.

    2008-01-01

    The benefactive construction dar + gerund is used in the North Andean region only and is unknown elsewhere in the Spanish-speaking world. Based on the analysis of spontaneous data from Ecuadorian Highland Spanish, this paper provides a linguististic description of dar + gerund and of the social and

  17. 2006 OSIP OGRIP: Upland Counties LiDAR Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2006 OSIP digital LiDAR data was collected during the months of March and May (leaf-off conditions). The LiDAR covers the entire land area of the northern tier...

  18. Assessing LiDAR elevation data for KDOT applications.

    Science.gov (United States)

    2013-02-01

    LiDAR-based elevation surveys are a cost-effective means for mapping topography over large areas. LiDAR : surveys use an airplane-mounted or ground-based laser radar unit to scan terrain. Post-processing techniques are : applied to remove vegetation ...

  19. 48 CFR 853.215-70 - VA Form 10-1170, Application for Furnishing Nursing Home Care to Beneficiaries of VA.

    Science.gov (United States)

    2010-10-01

    ..., Application for Furnishing Nursing Home Care to Beneficiaries of VA. 853.215-70 Section 853.215-70 Federal... 853.215-70 VA Form 10-1170, Application for Furnishing Nursing Home Care to Beneficiaries of VA. VA Form 10-1170, Application for Furnishing Nursing Home Care to Beneficiaries of VA, will be used for...

  20. SlaVaComp Fonts Converter

    Directory of Open Access Journals (Sweden)

    Simon Skilevic

    2013-12-01

    Full Text Available This paper presents a fonts converter that was developed as a part of the Freiburg project on historical corpus linguistics. The tool named SlaVaComp-Konvertierer converts Church Slavonic texts digitized with non-Unicode fonts into the Unicode format without any loss of information contained in the original file and without damage to the original formatting. It is suitable for the conversion of all idiosyncratic fonts—not only Church Slavonic—and therefore can be used not only in Palaeoslavistic, but also in all historical and philological studies.

  1. Medical Student Psychiatry Examination Performance at VA and Non-VA Clerkship Sites

    Science.gov (United States)

    Tucker, Phebe; von Schlageter, Margo Shultes; Park, EunMi; Rosenberg, Emily; Benjamin, Ashley B.; Nawar, Ola

    2009-01-01

    Objective: The authors examined the effects of medical student assignment to U.S. Department of Veterans Affairs (VA) Medical Center inpatient and outpatient psychiatry clerkship sites versus other university and community sites on the performance outcome measure of National Board of Medical Examiners (NBME) subject examination scores. Methods:…

  2. Visionary leadership and the future of VA health system.

    Science.gov (United States)

    Bezold, C; Mayer, E; Dighe, A

    1997-01-01

    As the U.S. Department of Veterans Affairs (VA) makes the change over to Veterans Integrated Service Network (VISNs) the need for new and better leadership is warranted if VA wants to not only survive, but thrive in the emerging twenty-first century healthcare system. VA can prepare for the future and meet the challenges facing them by adopting a system of visionary leadership. The use of scenarios and vision techniques are explained as they relate to VA's efforts to move toward their new system of VISNs. The four scenarios provide snapshots of possible futures for the U.S. healthcare system as well as the possible future role and mission of VA--from VA disappearing to its becoming a premier virtual organization.

  3. Object Classification Using Airborne Multispectral LiDAR Data

    Directory of Open Access Journals (Sweden)

    PAN Suoyan

    2018-02-01

    Full Text Available Airborne multispectral LiDAR system,which obtains surface geometry and spectral data of objects,simultaneously,has become a fast effective,large-scale spatial data acquisition method.Multispectral LiDAR data are characteristics of completeness and consistency of spectrum and spatial geometric information.Support vector machine (SVM,a machine learning method,is capable of classifying objects based on small samples.Therefore,by means of SVM,this paper performs land cover classification using multispectral LiDAR data. First,all independent point cloud with different wavelengths are merged into a single point cloud,where each pixel contains the three-wavelength spectral information.Next,the merged point cloud is converted into range and intensity images.Finally,land-cover classification is performed by means of SVM.All experiments were conducted on the Optech Titan multispectral LiDAR data,containing three individual point cloud collected by 532 nm,1024 nm,and 1550 nm laser beams.Experimental results demonstrate that ①compared to traditional single-wavelength LiDAR data,multispectral LiDAR data provide a promising solution to land use and land cover applications;②SVM is a feasible method for land cover classification of multispectral LiDAR data.

  4. Processing LiDAR Data to Predict Natural Hazards

    Science.gov (United States)

    Fairweather, Ian; Crabtree, Robert; Hager, Stacey

    2008-01-01

    ELF-Base and ELF-Hazards (wherein 'ELF' signifies 'Extract LiDAR Features' and 'LiDAR' signifies 'light detection and ranging') are developmental software modules for processing remote-sensing LiDAR data to identify past natural hazards (principally, landslides) and predict future ones. ELF-Base processes raw LiDAR data, including LiDAR intensity data that are often ignored in other software, to create digital terrain models (DTMs) and digital feature models (DFMs) with sub-meter accuracy. ELF-Hazards fuses raw LiDAR data, data from multispectral and hyperspectral optical images, and DTMs and DFMs generated by ELF-Base to generate hazard risk maps. Advanced algorithms in these software modules include line-enhancement and edge-detection algorithms, surface-characterization algorithms, and algorithms that implement innovative data-fusion techniques. The line-extraction and edge-detection algorithms enable users to locate such features as faults and landslide headwall scarps. Also implemented in this software are improved methodologies for identification and mapping of past landslide events by use of (1) accurate, ELF-derived surface characterizations and (2) three LiDAR/optical-data-fusion techniques: post-classification data fusion, maximum-likelihood estimation modeling, and hierarchical within-class discrimination. This software is expected to enable faster, more accurate forecasting of natural hazards than has previously been possible.

  5. Development of a parallelization method for KENO V.a

    International Nuclear Information System (INIS)

    Basoglu, B.; Bentley, C.; Dunn, M.

    1995-01-01

    The KENO V.a codes is a widely used Monte carlo codes that is part of the SCALE modular codes system for performing standardized computer analysis of nuclear systems for licensing evaluation. In the past few years, attempts have been made to speed up KENO V.a using new generation computers. In this paper we report on the initial development of a parallel version of KENO V.a for the Kendall Square Research supercomputer (KSRI) at ORNL. Investigations thus far have shown that the parallel code provides accurate results with significantly reduced computation times relative to the conventional KENO V.a code

  6. TENSOR MODELING BASED FOR AIRBORNE LiDAR DATA CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    N. Li

    2016-06-01

    Full Text Available Feature selection and description is a key factor in classification of Earth observation data. In this paper a classification method based on tensor decomposition is proposed. First, multiple features are extracted from raw LiDAR point cloud, and raster LiDAR images are derived by accumulating features or the “raw” data attributes. Then, the feature rasters of LiDAR data are stored as a tensor, and tensor decomposition is used to select component features. This tensor representation could keep the initial spatial structure and insure the consideration of the neighborhood. Based on a small number of component features a k nearest neighborhood classification is applied.

  7. LiDAR error estimation with WAsP engineering

    DEFF Research Database (Denmark)

    Bingöl, Ferhat; Mann, Jakob; Foussekis, D.

    2008-01-01

    The LiDAR measurements, vertical wind profile in any height between 10 to 150m, are based on assumption that the measured wind is a product of a homogenous wind. In reality there are many factors affecting the wind on each measurement point which the terrain plays the main role. To model Li......DAR measurements and predict possible error in different wind directions for a certain terrain we have analyzed two experiment data sets from Greece. In both sites LiDAR and met. mast data have been collected and the same conditions are simulated with Riso/DTU software, WAsP Engineering 2.0. Finally measurement...

  8. Comparing Catheter-associated Urinary Tract Infection Prevention Programs Between VA and Non-VA Nursing Homes

    Science.gov (United States)

    Mody, Lona; Greene, M. Todd; Saint, Sanjay; Meddings, Jennifer; Trautner, Barbara W.; Wald, Heidi L.; Crnich, Christopher; Banaszak-Holl, Jane; McNamara, Sara E.; King, Beth J.; Hogikyan, Robert; Edson, Barbara; Krein, Sarah L.

    2018-01-01

    OBJECTIVE The impact of healthcare system integration on infection prevention programs is unknown. Using catheter-associated urinary tract infection (CAUTI) prevention as an example, we hypothesize that U.S. Department of Veterans Affairs (VA) nursing homes have a more robust infection prevention infrastructure due to integration and centralization compared with non-VA nursing homes. SETTING VA and non-VA nursing homes participating in the “AHRQ Safety Program for Long-term Care” collaborative. METHODS Nursing homes provided baseline information about their infection prevention programs to assess strengths and gaps related to CAUTI prevention. RESULTS A total of 353 (71%; 47 VA, 306 non-VA) of 494 nursing homes from 41 states responded. VA nursing homes reported more hours/week devoted to infection prevention-related activities (31 vs. 12 hours, P<.001), and were more likely to have committees that reviewed healthcare-associated infections. Compared with non-VA facilities, a higher percentage of VA nursing homes reported tracking CAUTI rates (94% vs. 66%, P<.001), sharing CAUTI data with leadership (94% vs. 70%, P=.014) and nursing personnel (85% vs. 56%, P=.003). However, fewer VA nursing homes reported having policies for appropriate catheter use (64% vs. 81%, P=.004) and catheter insertion (83% vs. 94%, P=.004). CONCLUSIONS Among nursing homes participating in an AHRQ-funded collaborative, VA and non-VA nursing homes differed in their approach to CAUTI prevention. Best practices from both settings should be applied universally to create an optimal infection prevention program within emerging integrated healthcare systems. PMID:27917728

  9. Elevation - LiDAR Survey Minnehaha Creek, MN Watershed

    Data.gov (United States)

    Army Corps of Engineers, Department of the Army, Department of Defense — LiDAR Bare-Earth Grid - Minnehaha Creek Watershed District. The Minnehaha Creek watershed is located primarily in Hennepin County, Minnesota. The watershed covers...

  10. 2009 PSLC-USGS Topographic LiDAR: Wenatchee

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data of the Wenatchee USGS area of interest (AOI) east of Wenatchee, WA on May 1nd - May...

  11. Intussusception in children seen at Muhimbili National Hospital, Dar ...

    African Journals Online (AJOL)

    Intussusception in children seen at Muhimbili National Hospital, Dar es salaam. ... its magnitude of concern and any seasonal variation in our environment. ... majority of the children present late, >48 hours from the onset of symptoms and ...

  12. Patient Satisfaction At The Muhimbili National Hospital In Dar Es ...

    African Journals Online (AJOL)

    Patient Satisfaction At The Muhimbili National Hospital In Dar Es Salaam, Tanzania. ... staffpatient relationship ethos, in which the patient is a viewed as a customer. Keywords: patient satisfaction, reform, Muhimbili National Hospital, referral ...

  13. LiDAR (Terrain), THURSTON COUNTY, WASHINGTON, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Fugro EarthData Company furnished the collection, processing, and development of LiDAR for 825 square miles in Washington (805 square miles of Thurston County and 20...

  14. VA office of inspector general releases scathing report of Phoenix VA

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2014-08-01

    Full Text Available No abstract available. Article truncated at 150 words. The long-awaited Office of Inspector General’s (OIG report on the Phoenix VA Health Care System (PVAHCS was released on August 27, 2014 (1. The report was scathing in its evaluation of VA practices and leadership. Five questions were investigated: 1.Were there clinically significant delays in care? 2. Did PVAHCS omit the names of veterans waiting for care from its Electronic Wait List (EWL? 3. Were PVAHCS personnel not following established scheduling procedures? 4. Did the PVAHCS culture emphasize goals at the expense of patient care? 5. Are scheduling deficiencies systemic throughout the VA? In each case, the OIG found that the allegations were true. Despite initial denials, the OIG report showed that former PVAHCS director Sharon Helman, associate director Lance Robinson, hospital administration director Brad Curry, chief of staff Darren Deering and other senior executives were aware of delays in care and unofficial wait lists. Perhaps most disturbing is ...

  15. VA Dental Insurance Program--federalism. Direct final rule.

    Science.gov (United States)

    2013-10-22

    The Department of Veterans Affairs (VA) is taking direct final action to amend its regulations related to the VA Dental Insurance Program (VADIP), a pilot program to offer premium-based dental insurance to enrolled veterans and certain survivors and dependents of veterans. Specifically, this rule will add language to clarify the limited preemptive effect of certain criteria in the VADIP regulations.

  16. 76 FR 52230 - Establishment of Class E Airspace; Forest, VA

    Science.gov (United States)

    2011-08-22

    ...-0378; Airspace Docket No. 11-AEA-11] Establishment of Class E Airspace; Forest, VA AGENCY: Federal... at Forest, VA, to accommodate the new Area Navigation (RNAV) Global Positioning System (GPS) Standard... published in the Federal Register a notice of proposed rulemaking to establish Class E airspace at Forest...

  17. ESTIMASI NILAI VaR PORTOFOLIO MENGGUNAKAN FUNGSI ARCHIMEDEAN COPULA

    Directory of Open Access Journals (Sweden)

    AULIA ATIKA PRAWIBTA SUHARTO

    2017-01-01

    Full Text Available Value at Risk explains the magnitude of the worst losses occurred in financial products investments with a certain level of confidence and time interval. The purpose of this study is to estimate the VaR of portfolio using Archimedean Copula family. The methods for calculating the VaR are as follows: (1 calculating the stock return; (2 calculating descriptive statistics of return; (3 checking for the nature of autocorrelation and heteroscedasticity effects on stock return data; (4 checking for the presence of extreme value by using Pareto tail; (5 estimating the parameters of Achimedean Copula family; (6 conducting simulations of Archimedean Copula; (7 estimating the value of the stock portfolio VaR. This study uses the closing price of TLKM and GGRM. At 90% the VaR obtained using Clayton, Gumbel, Frank copulas are 0.9562%, 1.0189%, 0.9827% respectively. At 95% the VaR obtained using Clayton, Gumbel, Frank copulas are 1.2930%, 1.2522%, 1.3152% respectively. At 99% the VaR obtained using Clayton, Gumbel, Frank copulas are 2.0327%, 1.9164%, is 1.8678% respectively. In conclusion estimation of VaR using Clayton copula yields the highest VaR.

  18. Shipborne LiDAR system for coastal change monitoring

    Science.gov (United States)

    Kim, chang hwan; Park, chang hong; Kim, hyun wook; hyuck Kim, won; Lee, myoung hoon; Park, hyeon yeong

    2016-04-01

    Coastal areas, used as human utilization areas like leisure space, medical care, ports and power plants, etc., are regions that are continuously changing and interconnected with oceans and land and the sea level has risen by about 8cm (1.9mm / yr) due to global warming from 1964 year to 2006 year in Korea. Coastal erosion due to sea-level rise has caused the problem of marine ecosystems and loss of tourism resources, etc. Regular monitoring of coastal erosion is essential at key locations with such volatility. But the survey method of land mobile LiDAR (light detection and ranging) system has much time consuming and many restrictions. For effective monitoring beach erosion, KIOST (Korea Institute of Ocean Science & Technology) has constructed a shipborne mobile LiDAR system. The shipborne mobile LiDAR system comprised a land mobile LiDAR (RIEGL LMS-420i), an INS (inertial navigation system, MAGUS Inertial+), a RTKGPS (LEICA GS15 GS25), and a fixed platform. The shipborne mobile LiDAR system is much more effective than a land mobile LiDAR system in the measuring of fore shore areas without shadow zone. Because the vessel with the shipborne mobile LiDAR system is continuously moved along the shoreline, it is possible to efficiently survey a large area in a relatively short time. Effective monitoring of the changes using the constructed shipborne mobile LiDAR system for seriously eroded coastal areas will be able to contribute to coastal erosion management and response.

  19. 38 CFR 1.203 - Information to be reported to VA Police.

    Science.gov (United States)

    2010-07-01

    ... reported to VA Police. 1.203 Section 1.203 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS... be reported to VA Police. Information about actual or possible violations of criminal laws related to... occurs on VA premises, will be reported by VA management officials to the VA police component with...

  20. Home Health Care and Patterns of Subsequent VA and Medicare Health Care Utilization for Veterans

    Science.gov (United States)

    Van Houtven, Courtney Harold; Jeffreys, Amy S.; Coffman, Cynthia J.

    2008-01-01

    Purpose: The Veterans Affairs or VA health care system is in the process of significantly expanding home health care (HOC) nationwide. We describe VA HHC use in 2003 for all VA HHC users from 2002; we examine whether VA utilization across a broad spectrum of services differed for a sample of VA HHC users and their propensity-score-matched…

  1. VaR Methodology Application for Banking Currency Portfolios

    Directory of Open Access Journals (Sweden)

    Daniel Armeanu

    2007-02-01

    Full Text Available VaR has become the standard measure that financial analysts use to quantify market risk. VaR measures can have many applications, such as in risk management, to evaluate the performance of risk takers and for regulatory requirements, and hence it is very important to develop methodologies that provide accurate estimates. In particular, the Basel Committee on Banking Supervision at the Bank for International Settlements imposes to financial institutions such as banks and investment firms to meet capital requirements based on VaR estimates. In this paper we determine VaR for a banking currency portfolio and respect rules of National Bank of Romania regarding VaR report.

  2. Upgrading transmission lines with aerial LiDAR technology

    Energy Technology Data Exchange (ETDEWEB)

    Koop, J.E. [Manitoba Hydro, Winnipeg, MB (Canada)

    2003-04-01

    LiDAR (Light Detection and Ranging) technology is described as an example of techniques used by hydro companies to increase their capacity with existing plants, and within tight budget constraints. LiDAR was chosen by Manitoba Hydro primarily because LiDAR's data collection method offers very fast turn-around time from collection to delivery, and most importantly because of LiDAR's highly accurate ability to map terrain and wire catenary shape in every span. The article describes a case study of the 'Nip and Tuck' method of wire re-tensioning based on LiDAR data, which was used by Manitoba Hydro to create a computer model of Saskatchewan Hydro's transmission line capacity on its 138 kV transmission line between Saskatoon and North Battleford. The model was needed to analyze the existing line conditions in an effort to minimize cascading failures on the 40-year old line. Using the 'Nip and Tuck' technology in combination with LiDAR, SaskPower engineers were able to complete the required modifications to raise transmission wire operating temperatures on the 135 km long line to 66 degree C in only 36 days, and at a cost that was 80 per cent less than the cost would have been using conventional techniques ($232,000 instead of the estimated $1.25 million).

  3. 2012-2013 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Hoh River Watershed, Washington (Deliveries 1 and 2)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on the Hoh River watershed survey area for the Puget Sound LiDAR Consortium and the...

  4. 2006 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Eastern Washington and River Corridors

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data in eastern Washington, eastern Oregon, and southern Canada in October and November,...

  5. 2012 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Chehalis River Watershed Area, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data for the Chehalis River Watershed study area on January 28th, February 2nd-7th,...

  6. 2002 Puget Sound LiDAR Consortium (PSLC) Unclassified Topographic LiDAR: Puget Sound Lowlands Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TerraPoint surveyed and created this data for the Puget Sound LiDAR Consortium under contract. The area surveyed is approximately 730 square miles and covers the...

  7. 1000-kVA arc power supply

    International Nuclear Information System (INIS)

    Wright, R.E.; Barber, G.C.; Ponte, N.S.

    1979-01-01

    Because of ever-increasing power demands for the development of the Oak Ridge duoPIGatron ion source, a continuous-duty arc power supply was constructed for the Medium Energy Test Facility (METF) to furnish power for the plasma generator of experimental ion sources. The power supply utilizes 12-pulse rectification with half-wave switching in a delta and wye full-wave bridge that may be connected in series or parallel. It will deliver 340 V dc, 2500 A to an ion source when series connected and 170 V dc, 5000 A when paralleled connected. Silicon-controlled rectifiers (SCR) in each rectifier bridge can be switched for pulses as short as 10 ms through continuous duty. The filter section that reduces the ripple in the output consists of an inductor-to-capacitor (L-C) filter to smooth the 720-Hz pulses. The power transformer serves as an isolation transformer allowing the secondary to be elevated to the accelerating potential of the ion source. The dc output level is controlled with a 1000-kVA auto transformer connected to the primary of the power transformer. All elevated voltages and currents are monitored at ground potential with an optical telemetry system. This paper describes the power supply in detail, including block diagrams, component specifications, and waveforms when supplying power to an ion source

  8. COPD, COOP and BREATH at the VA

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2011-02-01

    Full Text Available No abstract available. Article truncated at 150 words. The February 2011 Pulmonary Journal Club reviews a study by Rice and colleagues (1 of high-risk COPD patients (click here for Pulmonary Journal Club. This review was authored by Kevin Park who also authored an ACP Journal Club review (2. In Rice’s study a single educational session, an individualized care plan, and monthly case-manager telephone calls, resulted in a 41% decrease in hospitalizations and emergency room visits and a nonsignficant trend toward decreased mortality.Rice’s study was supported and conducted in the Veterans Integrated Service Network (VISN 23 (Minnesota, Iowa, Nebraska and the Dakotas. The COPD patients in this study were recruited and followed primarily using the VA computer system. The study represents a potential model of data-based management leading to improved patient outcomes. The authors; Robert Petzel MD, then VISN 23 Director (now Veterans Healthcare Administration Undersecretary; and Janet Murphy, then VISN Primary Care Service Line CEO (now VISN …

  9. 76 FR 40453 - Agency Information Collection (Application for VA Education Benefits) Activity Under OMB Review

    Science.gov (United States)

    2011-07-08

    ... (Application for VA Education Benefits) Activity Under OMB Review AGENCY: Veterans Benefits Administration... Education Benefits, VA Form 22-1990. b. Application for Family Member to Use Transferred Benefits, VA Form 22-1990E. [[Page 40454

  10. VA INFORMATION SYSTEMS: Computer Security Weaknesses Persist at the Veterans Health Administration

    National Research Council Canada - National Science Library

    2000-01-01

    .... To determine the status of computer security within VHA, we (1) evaluated information system general controls at the VA Maryland Health Cafe System, the New Mexico VA Health Care System, and the VA North Texas Health Care System and (2...

  11. LiDAR Vegetation Investigation and Signature Analysis System (LVISA)

    Science.gov (United States)

    Höfle, Bernhard; Koenig, Kristina; Griesbaum, Luisa; Kiefer, Andreas; Hämmerle, Martin; Eitel, Jan; Koma, Zsófia

    2015-04-01

    Our physical environment undergoes constant changes in space and time with strongly varying triggers, frequencies, and magnitudes. Monitoring these environmental changes is crucial to improve our scientific understanding of complex human-environmental interactions and helps us to respond to environmental change by adaptation or mitigation. The three-dimensional (3D) description of the Earth surface features and the detailed monitoring of surface processes using 3D spatial data have gained increasing attention within the last decades, such as in climate change research (e.g., glacier retreat), carbon sequestration (e.g., forest biomass monitoring), precision agriculture and natural hazard management. In all those areas, 3D data have helped to improve our process understanding by allowing quantifying the structural properties of earth surface features and their changes over time. This advancement has been fostered by technological developments and increased availability of 3D sensing systems. In particular, LiDAR (light detection and ranging) technology, also referred to as laser scanning, has made significant progress and has evolved into an operational tool in environmental research and geosciences. The main result of LiDAR measurements is a highly spatially resolved 3D point cloud. Each point within the LiDAR point cloud has a XYZ coordinate associated with it and often additional information such as the strength of the returned backscatter. The point cloud provided by LiDAR contains rich geospatial, structural, and potentially biochemical information about the surveyed objects. To deal with the inherently unorganized datasets and the large data volume (frequently millions of XYZ coordinates) of LiDAR datasets, a multitude of algorithms for automatic 3D object detection (e.g., of single trees) and physical surface description (e.g., biomass) have been developed. However, so far the exchange of datasets and approaches (i.e., extraction algorithms) among LiDAR users

  12. A Study on Factors Affecting Airborne LiDAR Penetration

    Directory of Open Access Journals (Sweden)

    Wei-Chen Hsu

    2015-01-01

    Full Text Available This study uses data from different periods, areas and parameters of airborne LiDAR (light detection and ranging surveys to understand the factors that influence airborne LiDAR penetration rate. A discussion is presented on the relationships between these factors and LiDAR penetration rate. The results show that the flight height above ground level (AGL does not have any relationship with the penetration rate. There are some factors that should have larger influence. For example, the laser is affected by a wet ground surface by reducing the number of return echoes. The field of view (FOV has a slightly negative correlation with the penetration rate, which indicates that the laser incidence angle close to zero should achieve the best penetration. The vegetation cover rate also shows a negative correlation with the penetration rate, thus bare ground and reduced vegetation in the aftermath of a typhoon also cause high penetration rate. More return echoes could be extracted from the full-waveform system, thereby effectively improving the penetration rate. This study shows that full-waveform LiDAR is an effective method for increasing the number of surface reflected echoes. This study suggests avoiding LiDAR survey employment directly following precipitation to prevent laser echo reduction.

  13. Waveform LiDAR across forest biomass gradients

    Science.gov (United States)

    Montesano, P. M.; Nelson, R. F.; Dubayah, R.; Sun, G.; Ranson, J.

    2011-12-01

    Detailed information on the quantity and distribution of aboveground biomass (AGB) is needed to understand how it varies across space and changes over time. Waveform LiDAR data is routinely used to derive the heights of scattering elements in each illuminated footprint, and the vertical structure of vegetation is related to AGB. Changes in LiDAR waveforms across vegetation structure gradients can demonstrate instrument sensitivity to land cover transitions. A close examination of LiDAR waveforms in footprints across a forest gradient can provide new insight into the relationship of vegetation structure and forest AGB. In this study we use field measurements of individual trees within Laser Vegetation Imaging Sensor (LVIS) footprints along transects crossing forest to non-forest gradients to examine changes in LVIS waveform characteristics at sites with low (field AGB measurements to original and adjusted LVIS waveforms to detect the forest AGB interval along a forest - non-forest transition in which the LVIS waveform lose the ability to discern differences in AGB. Our results help identify the lower end the forest biomass range that a ~20m footprint waveform LiDAR can detect, which can help infer accumulation of biomass after disturbances and during forest expansion, and which can guide the use of LiDAR within a multi-sensor fusion biomass mapping approach.

  14. SlaVaComp: Konvertierungstool (= SlaVaComp Fonts Converter

    Directory of Open Access Journals (Sweden)

    Simon Skilevic

    2013-12-01

    Full Text Available Der vorliegende Beitrag informiert über ein Tool, das im Rahmen eines Freiburger Projekts zur historischen Korpuslinguistik entwickelt wurde und dazu dient, kirchenslavische Texte, die ohne Einsatz von Unicode digitalisiert wurden, ohne Verlust von Information bzw. Formatierung ins Unicode-Format zu überführen. Das Tool heißt SlaVaComp-Konvertierer. Es eignet sich für die Konvertierung aller idiosynkratischen Fonts und kann somit nicht nur in der Paläoslavistik, sondern in allen historisch arbeitenden Philologien eingesetzt werden. ____________________ This paper presents a fonts converter that was developed as a part of the Freiburg project on historical corpus linguistics. The tool named SlaVaComp-Konvertierer converts Church Slavonic texts digitized with non-Unicode fonts into the Unicode format without any loss of information contained in the original file and without damage to the original formatting. It is suitable for the conversion of all idiosyncratic fonts—not only Church Slavonic—and therefore can be used not only in Palaeoslavistic, but also in all historical and philological studies.

  15. An academic-VA partnership: Student interprofessional teams integrated with VA PACT teams.

    Science.gov (United States)

    Swenty, Constance L; Schaar, Gina L; Butler, Ryan M

    2016-12-01

    Veterans are challenged with multiple unique healthcare issues related to their military service environment. Likewise, health care providers must understand the special concerns associated with military conflict and recognize how the veteran's care can be optimized by interprofessional care delivery. Little is taught didactically or clinically that supports nursing students in addressing the unique issues of the veteran or the student's need to work collaboratively with allied health team members to enhance the veteran's care. Because of limited exposure to the veteran's special conditions, nursing students who may seek a career with the veteran population often face challenges in rendering appropriate care. The VA offers an invaluable opportunity for health profession students to collaborate with VA interprofessional Patient Aligned Care Teams (PACT) ultimately optimizing veteran health outcomes. This academic partnership, that implements an interprofessional model, will prepare students to better embrace the veteran population. This article describes the immersion of health profession students in interprofessional collaborative practice (IPCP) using PACT team principles which ultimately promotes the students' ability to link theory content to patient care delivery. Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Maximum power per VA control of vector controlled interior ...

    Indian Academy of Sciences (India)

    Thakur Sumeet Singh

    2018-04-11

    Apr 11, 2018 ... Department of Electrical Engineering, Indian Institute of Technology Delhi, New ... The MPVA operation allows maximum-utilization of the drive-system. ... Permanent magnet motor; unity power factor; maximum VA utilization; ...

  17. VA Enterprise Design Patterns - 5.1 (Mobility) Mobile

    Data.gov (United States)

    Department of Veterans Affairs — First of a set of guidance documents that establish the architectural foundation for mobile computing in the VA. This document outlines the enterprise capabilities...

  18. VA Enterprise Design Patters - 2.5 (Enterprise Architecture)

    Data.gov (United States)

    Department of Veterans Affairs — Enterprise architectural guidelines and constraints that provide references to the use of enterprise capabilities that will enable the VA to access and exchange data...

  19. Whistle-blower accuses VA inspector general of a "whitewash"

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2014-09-01

    Full Text Available No abstract available. Article truncated after 150 words. Yesterday, Dr. Sam Foote, the initial whistle-blower at the Phoenix VA, criticized the Department of Veterans Affairs inspector general's (VAOIG report on delays in healthcare at the Phoenix VA at a hearing before the House Committee of Veterans Affairs (1,2. Foote accused the VAOIG of minimizing bad patient outcomes and deliberately confusing readers, downplaying the impact of delayed health care at Phoenix VA facilities. "At its best, this report is a whitewash. At its worst, it is a feeble attempt at a cover-up," said Foote. Foote earlier this year revealed that as many as 40 Phoenix patients died while awaiting care and that the Phoenix VA maintained secret waiting lists while under-reporting patient wait times for appointments. His disclosures triggered the national VA scandal. Richard Griffin, the acting VAOIG, said that nearly 300 patients died while on backlogged wait lists in the Phoenix VA Health Care System, a much higher ...

  20. Adolescent Girls with illegally Induced Abortion in Dar es Salaam

    DEFF Research Database (Denmark)

    Rasch, V; Silberschmidt, Margrethe; Mchumvu, Y

    2000-01-01

    that gave them the right to seek family planning services and in practice these services are not being provided. There is a need for youth-friendly family planning services and to make abortion safe and legal, in order to reduce unwanted pregnancies and abortion-related complications and deaths among......This article reports on a study of induced abortion among adolescent girls in Dar es Salaam, Tanzania, who were admitted to a district hospital in Dar es Salaam because of an illegally induced abortion in 1997. In the quantitative part of the study, 197 teenage girls (aged 14-19) were asked...

  1. Raster Vs. Point Cloud LiDAR Data Classification

    Science.gov (United States)

    El-Ashmawy, N.; Shaker, A.

    2014-09-01

    Airborne Laser Scanning systems with light detection and ranging (LiDAR) technology is one of the fast and accurate 3D point data acquisition techniques. Generating accurate digital terrain and/or surface models (DTM/DSM) is the main application of collecting LiDAR range data. Recently, LiDAR range and intensity data have been used for land cover classification applications. Data range and Intensity, (strength of the backscattered signals measured by the LiDAR systems), are affected by the flying height, the ground elevation, scanning angle and the physical characteristics of the objects surface. These effects may lead to uneven distribution of point cloud or some gaps that may affect the classification process. Researchers have investigated the conversion of LiDAR range point data to raster image for terrain modelling. Interpolation techniques have been used to achieve the best representation of surfaces, and to fill the gaps between the LiDAR footprints. Interpolation methods are also investigated to generate LiDAR range and intensity image data for land cover classification applications. In this paper, different approach has been followed to classifying the LiDAR data (range and intensity) for land cover mapping. The methodology relies on the classification of the point cloud data based on their range and intensity and then converted the classified points into raster image. The gaps in the data are filled based on the classes of the nearest neighbour. Land cover maps are produced using two approaches using: (a) the conventional raster image data based on point interpolation; and (b) the proposed point data classification. A study area covering an urban district in Burnaby, British Colombia, Canada, is selected to compare the results of the two approaches. Five different land cover classes can be distinguished in that area: buildings, roads and parking areas, trees, low vegetation (grass), and bare soil. The results show that an improvement of around 10 % in the

  2. 2004 Federal Emergency Management Agency (FEMA) Bare Earth Topographic LiDAR: Connecticut River

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. The LiDAR files were converted from .PTS format to LAS...

  3. 2007 US Army Corps of Engineers (USACE), Jacksonville District US Virgin Islands LiDAR

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This Light Detection and Ranging (LiDAR) bare-earth classified LAS dataset is a topographic survey conducted for the USACE USVI LiDAR Project. These data were...

  4. 2011 U.S. Geological Survey (USGS) Topographic LiDAR: Louisiana Region 1

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: Louisiana Region 1 LiDAR ARRA Task Order LiDAR Data Acquisition and Processing Production Task- Vermillion, Iberia, St. Mary, Terrebonne, and Lafourche...

  5. 2011 U.S. Geological Survey (USGS) Topographic LiDAR: Louisiana Region 2

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: Louisiana Region 2 LiDAR ARRA Task Order LiDAR Data Acquisition and Processing Production Task- Orleans, Plaquemines, St. Bernard, St. Tammany Parishes,...

  6. 75 FR 9277 - Proposed Information Collection (VA National Rehabilitation Special Events, Event Registration...

    Science.gov (United States)

    2010-03-01

    ... Sports Clinic Application, VA Form 0924--233 hours. b. National Veterans Wheelchair Games Application, VA.... National Veterans TEE Tournament Application, VA Form 0927--133 hours. e. National Veterans Summer Sports... Form 0929--67 hours. OMB Control Number: 2900-New (VA Form 0924). Type of Review: Existing collection...

  7. Study on environmental test technology of LiDAR used for vehicle

    Science.gov (United States)

    Wang, Yi; Yang, Jianfeng; Ou, Yong

    2018-03-01

    With the development of intelligent driving, the LiDAR used for vehicle plays an important role in it, in some extent LiDAR is the key factor of intelligent driving. And environmental adaptability is one critical factor of quality, it relates success or failure of LiDAR. This article discusses about the environment and its effects on LiDAR used for vehicle, it includes analysis of any possible environment that vehicle experiences, and environmental test design.

  8. Relationship between LiDAR-derived forest canopy height and Landsat images

    Science.gov (United States)

    Cristina Pascual; Antonio Garcia-Abril; Warren B. Cohen; Susana. Martin-Fernandez

    2010-01-01

    The mean and standard deviation (SD) of light detection and ranging (LiDAR)-derived canopy height are related to forest structure. However, LiDAR data typically cover a limited area and have a high economic cost compared with satellite optical imagery. Optical images may be required to extrapolate LiDAR height measurements across a broad landscape. Different spectral...

  9. Demystifying LiDAR technologies for temperate rainforest in the Pacific Northwest

    Science.gov (United States)

    Rhonda Mazza; Demetrios Gatziolis

    2013-01-01

    Light detection and ranging (LiDAR), also known as airborne laser scanning, is a rapidly emerging technology for remote sensing. Used to help map, monitor, and assess natural resources, LiDAR data were first embraced by forestry professionals in Scandinavia as a tool for conducting forest inventories in the mid to late 1990s. Thus early LiDAR theory and applications...

  10. A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments

    Science.gov (United States)

    Jeffrey S. Evans; Andrew T. Hudak

    2007-01-01

    One prerequisite to the use of light detection and ranging (LiDAR) across disciplines is differentiating ground from nonground returns. The objective was to automatically and objectively classify points within unclassified LiDAR point clouds, with few model parameters and minimal postprocessing. Presented is an automated method for classifying LiDAR returns as ground...

  11. Tree filtering for high density airborne LiDAR data

    NARCIS (Netherlands)

    Abd Rahman, M.Z.; Gorte, B.G.H.

    2008-01-01

    A high resolution Airborne LiDAR data creates better opportunity for an individual tree measurement and provides valuable results for more precise forest inventory. This paper presents tree filtering approach that able to separate dominant tree and undergrowth vegetation. The results can be used for

  12. Feeding Dar es Salaam: a symbiotic food system perspective

    NARCIS (Netherlands)

    Wegerif, Marc C.A.

    2017-01-01

    This thesis is a sociological analysis of the agri-food system that feeds most of the over four and a half million residents of the fast-growing city of Dar es Salaam in Tanzania. It is based on qualitative research that has generated a picture of the food system that supplies the important foods

  13. Coastal Marine Pollution in Dar es Salaam (Tanzania) relative to ...

    African Journals Online (AJOL)

    Pollution surveys were undertaken during 2007 and 2008 in the coastal marine environment of Dar es Salaam and the remote Ras Dege Creek. The objective was to determine the levels of microbial contamination, heavy metals and persistent organic pollutants and compare these with the recommended environmental ...

  14. Aloe; Beyond use as cosmetics | Pili | Dar Es Salaam Medical ...

    African Journals Online (AJOL)

    Dar Es Salaam Medical Students' Journal. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 15, No 1 (2008) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register. Aloe; Beyond use as cosmetics. K Pili. Abstract.

  15. Dar es Salaam City and Challenges in Solid Waste Management ...

    African Journals Online (AJOL)

    The focus of this paper is on challenges facing solid waste management in. Manzese and Sinza wards, in Dar es Salaam city. In this paper different ways of generating, disposing waste and the associated problems are surveyed. About 102 people were interviewed. Different methods were employed in data collection which ...

  16. Nitrogen concentration estimation with hyperspectral LiDAR

    Directory of Open Access Journals (Sweden)

    O. Nevalainen

    2013-10-01

    Full Text Available Agricultural lands have strong impact on global carbon dynamics and nitrogen availability. Monitoring changes in agricultural lands require more efficient and accurate methods. The first prototype of a full waveform hyperspectral Light Detection and Ranging (LiDAR instrument has been developed at the Finnish Geodetic Institute (FGI. The instrument efficiently combines the benefits of passive and active remote sensing sensors. It is able to produce 3D point clouds with spectral information included for every point which offers great potential in the field of remote sensing of environment. This study investigates the performance of the hyperspectral LiDAR instrument in nitrogen estimation. The investigation was conducted by finding vegetation indices sensitive to nitrogen concentration using hyperspectral LiDAR data and validating their performance in nitrogen estimation. The nitrogen estimation was performed by calculating 28 published vegetation indices to ten oat samples grown in different fertilization conditions. Reference data was acquired by laboratory nitrogen concentration analysis. The performance of the indices in nitrogen estimation was determined by linear regression and leave-one-out cross-validation. The results indicate that the hyperspectral LiDAR instrument holds a good capability to estimate plant biochemical parameters such as nitrogen concentration. The instrument holds much potential in various environmental applications and provides a significant improvement to the remote sensing of environment.

  17. Engineering geological mapping of Dar es Salaam city, Tanzania ...

    African Journals Online (AJOL)

    Two basic maps were prepared, namely, geomorphological and geological map depicts the spatial extent of the Neogene geological formations. Three distinct sandstone terraces could be distinguished in Dar es Salaam region at 0-15 m and 30 – 40 m above sea level. The terraces comprised sandstones fringed by coral ...

  18. San Clemente Island Baseline LiDAR Mapping Final Report

    Science.gov (United States)

    2016-12-01

    full-waveform LiDAR (Riegl® Q680i), a hyperspectral sensor (Specim AISA EAGLE), an SLR camera, and supporting instruments for geolocation and...manual editing would be necessary for detailed gully identification. Figure 12. Extensive gully erosion on the southwest part of San Clemente. Figure 13

  19. Heavy Metals and Organic Pollutants in Sediments of Dar es ...

    African Journals Online (AJOL)

    The Florida criteria (MacDonald 1993) for assessment of pollution of tropical marine sediments was adopted in oredr to evaluate the extent of pollution in Dar es Salaam harbour sediments. The Florida criteria is one of the established references for sediment quality assessment. Heavy metals that had concentrations above ...

  20. Knowledge, Attitude and Practice of Commercial Drivers in Dar es ...

    African Journals Online (AJOL)

    Purpose: The objective of this study was, first, to assess the knowledge, attitude and practice of commercial drivers in Dar es Salaam with regard to medicines that impair driving, and second, to evaluate the adequacy of antihistamine label information. Methods: Drivers were interviewed using a questionnaire after obtaining ...

  1. Liquid waste management: The case of Bahir Dar, Ethiopia

    African Journals Online (AJOL)

    admin

    liquid waste management practices of the community; to assess the .... Logistic regression was performed to assess the impact of a number of factors on the .... the ever-growing Bahir Dar Town with modern buildings using flush toilets will ...

  2. Community violence in Dar es Salaam, Tanzania: A mixed methods ...

    African Journals Online (AJOL)

    Most homicide deaths in Dar es Salaam, Tanzania (DSM) are a result of violence arising from within the community. This type of violence is commonly called, by perpetrators and victims, “mob justice”. Unilateral non-state collective violence can take four forms: lynching, vigilantism, rioting, and terrorism. The purpose of this ...

  3. Quantifying Ladder Fuels: A New Approach Using LiDAR

    Science.gov (United States)

    Heather Kramer; Brandon Collins; Maggi Kelly; Scott Stephens

    2014-01-01

    We investigated the relationship between LiDAR and ladder fuels in the northern Sierra Nevada, California USA. Ladder fuels are often targeted in hazardous fuel reduction treatments due to their role in propagating fire from the forest floor to tree crowns. Despite their importance, ladder fuels are difficult to quantify. One common approach is to calculate canopy base...

  4. Aggression; a Paradoxical pathology of the mind | Kitapondya | Dar ...

    African Journals Online (AJOL)

    Dar Es Salaam Medical Students' Journal. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 15, No 1 (2008) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register. Aggression; a Paradoxical pathology of the mind.

  5. Accessibility, Congestion and Travel Delays in Dar es Salaam

    DEFF Research Database (Denmark)

    Melbye, Dea Christine; Møller-Jensen, Lasse; Andreasen, Manja Hoppe

    2015-01-01

    on to present a review of research into travel speed levels and congestion in Dar es Salaam. A set of city-wide maps of accessibility and delay levels are constructed based on available speed data and road network data obtained from the OpenStreetMap project and the findings are discussed with respect...

  6. 2011 USGS Topographic LiDAR: Suwannee River Expansion

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — USGS Task Order No. G10PD00236 USGS Contract No. G10PC00093 The Light Detection and Ranging (LiDAR) dataset is a survey of the Suwannee River Expansion in...

  7. A Role for Myosin Va in Human Cytomegalovirus Nuclear Egress.

    Science.gov (United States)

    Wilkie, Adrian R; Sharma, Mayuri; Pesola, Jean M; Ericsson, Maria; Fernandez, Rosio; Coen, Donald M

    2018-03-15

    Herpesviruses replicate and package their genomes into capsids in replication compartments within the nuclear interior. Capsids then move to the inner nuclear membrane for envelopment and release into the cytoplasm in a process called nuclear egress. We previously found that nuclear F-actin is induced upon infection with the betaherpesvirus human cytomegalovirus (HCMV) and is important for nuclear egress and capsid localization away from replication compartment-like inclusions toward the nuclear rim. Despite these and related findings, it has not been shown that any specific motor protein is involved in herpesvirus nuclear egress. In this study, we have investigated whether the host motor protein, myosin Va, could be fulfilling this role. Using immunofluorescence microscopy and coimmunoprecipitation, we observed associations between a nuclear population of myosin Va and the viral major capsid protein, with both concentrating at the periphery of replication compartments. Immunoelectron microscopy showed that nearly 40% of assembled nuclear capsids associate with myosin Va. We also found that myosin Va and major capsid protein colocalize with nuclear F-actin. Importantly, antagonism of myosin Va with RNA interference or a dominant negative mutant revealed that myosin Va is important for the efficient production of infectious virus, capsid accumulation in the cytoplasm, and capsid localization away from replication compartment-like inclusions toward the nuclear rim. Our results lead us to suggest a working model whereby human cytomegalovirus capsids associate with myosin Va for movement from replication compartments to the nuclear periphery during nuclear egress. IMPORTANCE Little is known regarding how newly assembled and packaged herpesvirus capsids move from the nuclear interior to the periphery during nuclear egress. While it has been proposed that an actomyosin-based mechanism facilitates intranuclear movement of alphaherpesvirus capsids, a functional role for

  8. Patient deaths blamed on long waits at the Phoenix VA

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2014-04-01

    Full Text Available No abstract available. Article truncated at 150 words. This morning the lead article in the Arizona Republic was a report blaming as many as 40 deaths at the Phoenix VA on long waits (1. Yesterday, Rep. Jeff Miller, the chairman of the House Committee on Veterans Affairs, held a hearing titled “A Continued Assessment of Delays in VA Medical Care and Preventable Veteran Deaths.” “It appears as though there could be as many as 40 veterans whose deaths could be related to delays in care,” Miller announced to a stunned audience. The committee has spent months investigating patient-care scandals and allegations at VA facilities in Pittsburgh, Atlanta, Miami and other cities. said that dozens of VA hospital patients in Phoenix may have died while awaiting medical care. He went on to say that staff investigators have evidence that the Phoenix VA Health Care System keeps two sets of records to conceal prolonged waits that patients must endure for ...

  9. A Decade Remote Sensing River Bathymetry with the Experimental Advanced Airborne Research LiDAR

    Science.gov (United States)

    Kinzel, P. J.; Legleiter, C. J.; Nelson, J. M.; Skinner, K.

    2012-12-01

    Since 2002, the first generation of the Experimental Advanced Airborne Research LiDAR (EAARL-A) sensor has been deployed for mapping rivers and streams. We present and summarize the results of comparisons between ground truth surveys and bathymetry collected by the EAARL-A sensor in a suite of rivers across the United States. These comparisons include reaches on the Platte River (NE), Boise and Deadwood Rivers (ID), Blue and Colorado Rivers (CO), Klamath and Trinity Rivers (CA), and the Shenandoah River (VA). In addition to diverse channel morphologies (braided, single thread, and meandering) these rivers possess a variety of substrates (sand, gravel, and bedrock) and a wide range of optical characteristics which influence the attenuation and scattering of laser energy through the water column. Root mean square errors between ground truth elevations and those measured by the EAARL-A ranged from 0.15-m in rivers with relatively low turbidity and highly reflective sandy bottoms to over 0.5-m in turbid rivers with less reflective substrates. Mapping accuracy with the EAARL-A has proved challenging in pools where bottom returns are either absent in waveforms or are of such low intensity that they are treated as noise by waveform processing algorithms. Resolving bathymetry in shallow depths where near surface and bottom returns are typically convolved also presents difficulties for waveform processing routines. The results of these evaluations provide an empirical framework to discuss the capabilities and limitations of the EAARL-A sensor as well as previous generations of post-processing software for extracting bathymetry from complex waveforms. These experiences and field studies not only provide benchmarks for the evaluation of the next generation of bathymetric LiDARs for use in river mapping, but also highlight the importance of developing and standardizing more rigorous methods to characterize substrate reflectance and in-situ optical properties at study sites

  10. VA's National PTSD Brain Bank: a National Resource for Research.

    Science.gov (United States)

    Friedman, Matthew J; Huber, Bertrand R; Brady, Christopher B; Ursano, Robert J; Benedek, David M; Kowall, Neil W; McKee, Ann C

    2017-08-25

    The National PTSD Brain Bank (NPBB) is a brain tissue biorepository established to support research on the causes, progression, and treatment of PTSD. It is a six-part consortium led by VA's National Center for PTSD with participating sites at VA medical centers in Boston, MA; Durham, NC; Miami, FL; West Haven, CT; and White River Junction, VT along with the Uniformed Services University of Health Sciences. It is also well integrated with VA's Boston-based brain banks that focus on Alzheimer's disease, ALS, chronic traumatic encephalopathy, and other neurological disorders. This article describes the organization and operations of NPBB with specific attention to: tissue acquisition, tissue processing, diagnostic assessment, maintenance of a confidential data biorepository, adherence to ethical standards, governance, accomplishments to date, and future challenges. Established in 2014, NPBB has already acquired and distributed brain tissue to support research on how PTSD affects brain structure and function.

  11. Poststroke Rehabilitation and Restorative Care Utilization: A Comparison Between VA Community Living Centers and VA-contracted Community Nursing Homes.

    Science.gov (United States)

    Jia, Huanguang; Pei, Qinglin; Sullivan, Charles T; Cowper Ripley, Diane C; Wu, Samuel S; Bates, Barbara E; Vogel, W Bruce; Bidelspach, Douglas E; Wang, Xinping; Hoffman, Nannette

    2016-03-01

    Effective poststroke rehabilitation care can speed patient recovery and minimize patient functional disabilities. Veterans affairs (VA) community living centers (CLCs) and VA-contracted community nursing homes (CNHs) are the 2 major sources of institutional long-term care for Veterans with stroke receiving care under VA auspices. This study compares rehabilitation therapy and restorative nursing care among Veterans residing in VA CLCs versus those Veterans in VA-contracted CNHs. Retrospective observational. All Veterans diagnosed with stroke, newly admitted to the CLCs or CNHs during the study period who completed at least 2 Minimum Data Set assessments postadmission. The outcomes were numbers of days for rehabilitation therapy and restorative nursing care received by the Veterans during their stays in CLCs or CNHs as documented in the Minimum Data Set databases. For rehabilitation therapy, the CLC Veterans had lower user rates (75.2% vs. 76.4%, P=0.078) and fewer observed therapy days (4.9 vs. 6.4, Pcare, CLC Veterans had higher user rates (33.5% vs. 30.6%, Pcare days (9.4 vs. 5.9, Pcare (coefficient=5.48±0.37, Pcare both before and after risk adjustment.

  12. Diversity arrays technology (DArT) markers in apple for genetic linkage maps

    OpenAIRE

    Schouten, H.J.; Weg, van de, W.E.; Carling, J.; Khan, S.A.; McKay, S.J.; Kaauwen, van, M.P.W.

    2012-01-01

    Diversity Arrays Technology (DArT) provides a high-throughput whole-genome genotyping platform for the detection and scoring of hundreds of polymorphic loci without any need for prior sequence information. The work presented here details the development and performance of a DArT genotyping array for apple. This is the first paper on DArT in horticultural trees. Genetic mapping of DArT markers in two mapping populations and their integration with other marker types showed that DArT is a powerf...

  13. Diversity arrays technology (DArT) markers in apple for genetic linkage maps

    OpenAIRE

    Schouten, Henk J.; van de Weg, W. Eric; Carling, Jason; Khan, Sabaz Ali; McKay, Steven J.; van Kaauwen, Martijn P. W.; Wittenberg, Alexander H. J.; Koehorst-van Putten, Herma J. J.; Noordijk, Yolanda; Gao, Zhongshan; Rees, D. Jasper G.; Van Dyk, Maria M.; Jaccoud, Damian; Considine, Michael J.; Kilian, Andrzej

    2011-01-01

    Diversity Arrays Technology (DArT) provides a high-throughput whole-genome genotyping platform for the detection and scoring of hundreds of polymorphic loci without any need for prior sequence information. The work presented here details the development and performance of a DArT genotyping array for apple. This is the first paper on DArT in horticultural trees. Genetic mapping of DArT markers in two mapping populations and their integration with other marker types showed that DArT is a powerf...

  14. VA Telemedicine: An Analysis of Cost and Time Savings.

    Science.gov (United States)

    Russo, Jack E; McCool, Ryan R; Davies, Louise

    2016-03-01

    The Veterans Affairs (VA) healthcare system provides beneficiary travel reimbursement ("travel pay") to qualifying patients for traveling to appointments. Travel pay is a large expense for the VA and hence the U.S. Government, projected to cost nearly $1 billion in 2015. Telemedicine in the VA system has the potential to save money by reducing patient travel and thus the amount of travel pay disbursed. In this study, we quantify this savings and also report trends in VA telemedicine volumes over time. All telemedicine visits based at the VA Hospital in White River Junction, VT between 2005 and 2013 were reviewed (5,695 visits). Travel distance and time saved as a result of telemedicine were calculated. Clinical volume in the mental health department, which has had the longest participation in telemedicine, was analyzed. Telemedicine resulted in an average travel savings of 145 miles and 142 min per visit. This led to an average travel payment savings of $18,555 per year. Telemedicine volume grew significantly over the study period such that by the final year the travel pay savings had increased to $63,804, or about 3.5% of the total travel pay disbursement for that year. The number of mental health telemedicine visits rose over the study period but remained small relative to the number of face-to-face visits. A higher proportion of telemedicine visits involved new patients. Telemedicine at the VA saves travel distance and time, although the reduction in travel payments remains modest at current telemedicine volumes.

  15. 2005 Mississippi Merged LiDAR Data (2005 LiDAR data merged with 2005 Post-Katrina LiDAR data to create a bare-earth product for flood plain mapping in coastal Mississippi).

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Pre- and post-hurricane Katrina LiDAR datasets of Hancock, Harrison, and Jackson Counties, MS, were merged into a seamless coverage by URS. The pre-Katrina LiDAR...

  16. The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0.

    Directory of Open Access Journals (Sweden)

    Erin K Nichols

    2018-01-01

    Full Text Available Verbal autopsy (VA is a practical method for determining probable causes of death at the population level in places where systems for medical certification of cause of death are weak. VA methods suitable for use in routine settings, such as civil registration and vital statistics (CRVS systems, have developed rapidly in the last decade. These developments have been part of a growing global momentum to strengthen CRVS systems in low-income countries. With this momentum have come pressure for continued research and development of VA methods and the need for a single standard VA instrument on which multiple automated diagnostic methods can be developed.In 2016, partners harmonized a WHO VA standard instrument that fully incorporates the indicators necessary to run currently available automated diagnostic algorithms. The WHO 2016 VA instrument, together with validated approaches to analyzing VA data, offers countries solutions to improving information about patterns of cause-specific mortality. This VA instrument offers the opportunity to harmonize the automated diagnostic algorithms in the future.Despite all improvements in design and technology, VA is only recommended where medical certification of cause of death is not possible. The method can nevertheless provide sufficient information to guide public health priorities in communities in which physician certification of deaths is largely unavailable. The WHO 2016 VA instrument, together with validated approaches to analyzing VA data, offers countries solutions to improving information about patterns of cause-specific mortality.

  17. Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures

    Directory of Open Access Journals (Sweden)

    Tan Zhou

    2017-12-01

    Full Text Available A plethora of information contained in full-waveform (FW Light Detection and Ranging (LiDAR data offers prospects for characterizing vegetation structures. This study aims to investigate the capacity of FW LiDAR data alone for tree species identification through the integration of waveform metrics with machine learning methods and Bayesian inference. Specifically, we first conducted automatic tree segmentation based on the waveform-based canopy height model (CHM using three approaches including TreeVaW, watershed algorithms and the combination of TreeVaW and watershed (TW algorithms. Subsequently, the Random forests (RF and Conditional inference forests (CF models were employed to identify important tree-level waveform metrics derived from three distinct sources, such as raw waveforms, composite waveforms, the waveform-based point cloud and the combined variables from these three sources. Further, we discriminated tree (gray pine, blue oak, interior live oak and shrub species through the RF, CF and Bayesian multinomial logistic regression (BMLR using important waveform metrics identified in this study. Results of the tree segmentation demonstrated that the TW algorithms outperformed other algorithms for delineating individual tree crowns. The CF model overcomes waveform metrics selection bias caused by the RF model which favors correlated metrics and enhances the accuracy of subsequent classification. We also found that composite waveforms are more informative than raw waveforms and waveform-based point cloud for characterizing tree species in our study area. Both classical machine learning methods (the RF and CF and the BMLR generated satisfactory average overall accuracy (74% for the RF, 77% for the CF and 81% for the BMLR and the BMLR slightly outperformed the other two methods. However, these three methods suffered from low individual classification accuracy for the blue oak which is prone to being misclassified as the interior live oak due

  18. Real-time computational photon-counting LiDAR

    Science.gov (United States)

    Edgar, Matthew; Johnson, Steven; Phillips, David; Padgett, Miles

    2018-03-01

    The availability of compact, low-cost, and high-speed MEMS-based spatial light modulators has generated widespread interest in alternative sampling strategies for imaging systems utilizing single-pixel detectors. The development of compressed sensing schemes for real-time computational imaging may have promising commercial applications for high-performance detectors, where the availability of focal plane arrays is expensive or otherwise limited. We discuss the research and development of a prototype light detection and ranging (LiDAR) system via direct time of flight, which utilizes a single high-sensitivity photon-counting detector and fast-timing electronics to recover millimeter accuracy three-dimensional images in real time. The development of low-cost real time computational LiDAR systems could have importance for applications in security, defense, and autonomous vehicles.

  19. 78 FR 62441 - VA Dental Insurance Program-Federalism

    Science.gov (United States)

    2013-10-22

    ...--Federalism AGENCY: Department of Veterans Affairs. ACTION: Direct final rule. SUMMARY: The Department of... that they are submitted in response to ``RIN 2900-AO85-VA Dental Insurance Program-- Federalism... add preemption language in accordance with the discussion above. Executive Order 13132, Federalism...

  20. 78 FR 63143 - VA Dental Insurance Program-Federalism

    Science.gov (United States)

    2013-10-23

    ...--Federalism AGENCY: Department of Veterans Affairs. ACTION: Proposed rule. SUMMARY: The Department of Veterans... that they are submitted in response to ``RIN 2900-AO86-VA Dental Insurance Program-- Federalism... Order 13132, Federalism Section 6(c) of Executive Order 13132 (entitled ``Federalism'') requires an...

  1. VA Library Service--Today's look at Tomorrow's Library.

    Science.gov (United States)

    Veterans Administration, Washington, DC.

    The Conference Poceedings are divided into three broad topics: systems planning, audiovisuals in biomedical communication, and automation and networking. Speakers from within the Veterans Administration (VA), from the National Medical Audiovisual Center, and the Lister Hill National Center for Biomedical Communications, National Library of…

  2. What does Shulkin's firing mean for the VA?

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2018-03-01

    Full Text Available No abstract available. Article truncated at 150 words. David Shulkin MD, Secretary for Veterans Affairs (VA was finally fired by President Donald Trump ending long speculation (1. Trump nominated his personal physician, Ronny Jackson MD, to fill Shulkin’s post. The day after his firing, Shulkin criticized his firing in a NY Times op-ed claiming pro-privatization factions within the Trump administration led to his ouster (2. “They saw me as an obstacle to privatization who had to be removed,” Dr. Shulkin wrote. “That is because I am convinced that privatization is a political issue aimed at rewarding select people and companies with profits, even if it undermines care for veterans.” Former Secretary Shulkin’s tenure at the VA has had several controversies. First, as undersecretary of Veterans Healthcare and later as secretary money appropriated to the VA to obtain private care under the Veterans Access, Choice, and Accountability Acts of 2014 and the VA Choice and Quality Employment Act of …

  3. A Browning process : The case of Dar es Salaam city

    OpenAIRE

    Mng'ong'o, Othmar Simtali

    2005-01-01

    The study is about how green spaces and structures of Dar es Salaam city, quantitatively and qualitatively, are browning out. It also tries to explore the different reasons behind the browning tendency, and what it means to the function of the city and to the daily form of life of the inhabitants. Finally there is a discussion about how to counteract the tendency by involving the inhabitants in planning procedures following the communicative approach to planning. The main investigations have ...

  4. Rockfall hazard analysis using LiDAR and spatial modeling

    Science.gov (United States)

    Lan, Hengxing; Martin, C. Derek; Zhou, Chenghu; Lim, Chang Ho

    2010-05-01

    Rockfalls have been significant geohazards along the Canadian Class 1 Railways (CN Rail and CP Rail) since their construction in the late 1800s. These rockfalls cause damage to infrastructure, interruption of business, and environmental impacts, and their occurrence varies both spatially and temporally. The proactive management of these rockfall hazards requires enabling technologies. This paper discusses a hazard assessment strategy for rockfalls along a section of a Canadian railway using LiDAR and spatial modeling. LiDAR provides accurate topographical information of the source area of rockfalls and along their paths. Spatial modeling was conducted using Rockfall Analyst, a three dimensional extension to GIS, to determine the characteristics of the rockfalls in terms of travel distance, velocity and energy. Historical rockfall records were used to calibrate the physical characteristics of the rockfall processes. The results based on a high-resolution digital elevation model from a LiDAR dataset were compared with those based on a coarse digital elevation model. A comprehensive methodology for rockfall hazard assessment is proposed which takes into account the characteristics of source areas, the physical processes of rockfalls and the spatial attribution of their frequency and energy.

  5. LiDAR observation of the flow structure in typhoons

    Science.gov (United States)

    Wu, Yu-Ting; Hsuan, Chung-Yao; Lin, Ta-Hui

    2015-04-01

    Taiwan is subject to 3.4 landfall typhoons each year in average, generally occurring in the third quarter of every year (July-September). Understanding of boundary-layer turbulence characteristics of a typhoon is needed to ensure the safety of both onshore and offshore wind turbines used for power generation. In this study, a floating LiDAR (Light Detection and Ranging) was deployed in a harbor to collect data of wind turbulence, atmospheric pressure, and temperature in three typhoon events (Matmo typhoon, Soulik typhoon, Trami typhoon). Data collected from the floating LiDAR and from meteorological stations located at Taipei, Taichung and Kaohsiung are adopted to analyse the wind turbulence characteristics in the three typhoon events. The measurement results show that the maximum 10-min average wind speed measured with the floating LiDAR is up to 24 m/s at a height of 200 m. Compared with other normal days, the turbulence intensity is lower in the three typhoon events where the wind speed has a rapid increase. Changes of wind direction take place clearly as the typhoons cross Taiwan from East to West. Within the crossing intervals, the vertical momentum flux is observed to have a significant pattern with both upward and downward propagating waves which are relevant to the flow structure of the typhoons.

  6. 76 FR 79067 - Payment or Reimbursement for Emergency Treatment Furnished by Non-VA Providers in Non-VA...

    Science.gov (United States)

    2011-12-21

    ... DEPARTMENT OF VETERANS AFFAIRS 38 CFR Part 17 RIN 2900-AN49 Payment or Reimbursement for Emergency..., authorize the Secretary of Veterans Affairs to reimburse eligible veterans for costs related to non-VA.... Specifically, section 1725 authorizes reimbursement for emergency treatment for eligible veterans with...

  7. 75 FR 33216 - Payment or Reimbursement for Emergency Treatment Furnished by Non-VA Providers in Non-VA...

    Science.gov (United States)

    2010-06-11

    ... health care services for veterans).'' Proposed Sec. 17.121(a) would establish the clinical decision maker... practice to utilize the services of health care professionals, such as nurses, for purposes of clinical review. For this reason, establishing the clinical decision maker as a ``designated VA clinician'' would...

  8. 78 FR 77204 - Proposed Information Collection (VA National Veterans Sports Programs and Special Event Surveys...

    Science.gov (United States)

    2013-12-20

    ... AGENCY: Office of Public & Intergovernmental Affairs, Department of Veterans Affairs. ACTION: Notice. SUMMARY: The Office of Public Affairs (OPA), Department of Veterans Affairs (VA), is announcing an... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-NEW] Proposed Information Collection (VA...

  9. 48 CFR 852.219-71 - VA mentor-protégé program.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false VA mentor-protégÃ....219-71 VA mentor-protégé program. As prescribed in 819.7115(a), insert the following clause: VA Mentor-Protégé Program (DEC 2009) (a) Large businesses are encouraged to participate in the VA Mentor-Protégé...

  10. 38 CFR 26.7 - VA environmental decision making and documents.

    Science.gov (United States)

    2010-07-01

    ... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false VA environmental decision making and documents. 26.7 Section 26.7 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) ENVIRONMENTAL EFFECTS OF THE DEPARTMENT OF VETERANS AFFAIRS (VA) ACTIONS § 26.7 VA environmental decision making and document...

  11. 76 FR 24570 - Proposed Information Collection (Application for VA Education Benefits) Activity; Comment Request

    Science.gov (United States)

    2011-05-02

    ... (Application for VA Education Benefits) Activity; Comment Request AGENCY: Veterans Benefits Administration, Department of Veterans Affairs. ACTION: Notice. SUMMARY: The Veterans Benefits Administration (VBA... Under the Montgomery GI Bill, VA Form 22-1990E. c. Application for VA Education Benefits Under the...

  12. 78 FR 18425 - Proposed Information Collection VA Police Officer Pre-Employment Screening Checklist); Comment...

    Science.gov (United States)

    2013-03-26

    ... techniques or the use of other forms of information technology. Title: VA Police Officer Pre-Employment... Police Officer Pre-Employment Screening Checklist); Comment Request AGENCY: Office of Operations... approved collection. Abstract: VA personnel complete VA Form 0120 to document pre- employment history and...

  13. 48 CFR 852.219-9 - VA Small business subcontracting plan minimum requirements.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false VA Small business... Provisions and Clauses 852.219-9 VA Small business subcontracting plan minimum requirements. As prescribed in subpart 819.709, insert the following clause: VA Small Business Subcontracting Plan Minimum Requirements...

  14. 76 FR 71920 - Payment for Home Health Services and Hospice Care by Non-VA Providers

    Science.gov (United States)

    2011-11-21

    ... concerning the billing methodology for non-VA providers of home health services and hospice care. The proposed rulemaking would include home health services and hospice care under the VA regulation governing... to ``RIN 2900-AN98--Payment for home health and services and hospice care by non-VA providers...

  15. 78 FR 56271 - FY 2014-2020 Draft VA Strategic Plan

    Science.gov (United States)

    2013-09-12

    ... DEPARTMENT OF VETERANS AFFAIRS FY 2014-2020 Draft VA Strategic Plan AGENCY: Department of Veterans... Affairs (VA) is announcing the availability of the FY 2014-2020 Draft VA Strategic Plan (Strategic Plan... Act of 2010 (GPRAMA) (Pub. L. 111-352). The Strategic Plan provides the Department's long-term...

  16. 78 FR 76412 - Agency Information Collection (VA National Rehabilitation Special Events, Event Registration...

    Science.gov (United States)

    2013-12-17

    ... INFORMATION: Titles: a. National Disabled Veterans Winter Sports Clinic Application, VA Form 0924a, c, d and..., c, e. j. Voluntary Service Application, VA Form 0927f. k. National Veterans Summer sports Clinic... Festival Event Application, VA0929a, b, c, d, e, f, g, h. Type of Review: Revision of an already approved...

  17. Development of a regional LiDAR field plot strategy for Oregon and Washington

    Science.gov (United States)

    Arvind Bhuta; Leah Rathbun

    2015-01-01

    The National Forest System (NFS) Pacific Northwest Region (R6) has been flying LiDAR on a per project basis. Additional field data was also collected in situ to many of these LiDAR projects to aid in the development of predictive models and estimate values which are unattainable through LiDAR data alone (e.g. species composition, tree volume, and downed woody material...

  18. VaR: Exchange Rate Risk and Jump Risk

    Directory of Open Access Journals (Sweden)

    Fen-Ying Chen

    2010-01-01

    Full Text Available Incorporating the Poisson jumps and exchange rate risk, this paper provides an analytical VaR to manage market risk of international portfolios over the subprime mortgage crisis. There are some properties in the model. First, different from past studies in portfolios valued only in one currency, this model considers portfolios not only with jumps but also with exchange rate risk, that is vital for investors in highly integrated global financial markets. Second, in general, the analytical VaR solution is more accurate than historical simulations in terms of backtesting and Christoffersen's independence test (1998 for small portfolios and large portfolios. In other words, the proposed model is reliable not only for a portfolio on specific stocks but also for a large portfolio. Third, the model can be regarded as the extension of that of Kupiec (1999 and Chen and Liao (2009.

  19. QCD sum-rules for V-A spectral functions

    International Nuclear Information System (INIS)

    Chakrabarti, J.; Mathur, V.S.

    1980-01-01

    The Borel transformation technique of Shifman et al is used to obtain QCD sum-rules for V-A spectral functions. In contrast to the situation in the original Weinberg sum-rules and those of Bernard et al, the problem of saturating the sum-rules by low lying resonances is brought under control. Furthermore, the present sum-rules, on saturation, directly determine useful phenomenological parameters

  20. CoVaCS: a consensus variant calling system.

    Science.gov (United States)

    Chiara, Matteo; Gioiosa, Silvia; Chillemi, Giovanni; D'Antonio, Mattia; Flati, Tiziano; Picardi, Ernesto; Zambelli, Federico; Horner, David Stephen; Pesole, Graziano; Castrignanò, Tiziana

    2018-02-05

    The advent and ongoing development of next generation sequencing technologies (NGS) has led to a rapid increase in the rate of human genome re-sequencing data, paving the way for personalized genomics and precision medicine. The body of genome resequencing data is progressively increasing underlining the need for accurate and time-effective bioinformatics systems for genotyping - a crucial prerequisite for identification of candidate causal mutations in diagnostic screens. Here we present CoVaCS, a fully automated, highly accurate system with a web based graphical interface for genotyping and variant annotation. Extensive tests on a gold standard benchmark data-set -the NA12878 Illumina platinum genome- confirm that call-sets based on our consensus strategy are completely in line with those attained by similar command line based approaches, and far more accurate than call-sets from any individual tool. Importantly our system exhibits better sensitivity and higher specificity than equivalent commercial software. CoVaCS offers optimized pipelines integrating state of the art tools for variant calling and annotation for whole genome sequencing (WGS), whole-exome sequencing (WES) and target-gene sequencing (TGS) data. The system is currently hosted at Cineca, and offers the speed of a HPC computing facility, a crucial consideration when large numbers of samples must be analysed. Importantly, all the analyses are performed automatically allowing high reproducibility of the results. As such, we believe that CoVaCS can be a valuable tool for the analysis of human genome resequencing studies. CoVaCS is available at: https://bioinformatics.cineca.it/covacs .

  1. Validation of KENO V.a: Comparison with critical experiments

    International Nuclear Information System (INIS)

    Jordan, W.C.; Landers, N.F.; Petrie, L.M.

    1986-12-01

    Section 1 of this report documents the validation of KENO V.a against 258 critical experiments. Experiments considered were primarily high or low enriched uranium systems. The results indicate that the KENO V.a Monte Carlo Criticality Program accurately calculates a broad range of critical experiments. A substantial number of the calculations showed a positive or negative bias in excess of 1 1/2% in k-effective (k/sub eff/). Classes of criticals which show a bias include 3% enriched green blocks, highly enriched uranyl fluoride slab arrays, and highly enriched uranyl nitrate arrays. If these biases are properly taken into account, the KENO V.a code can be used with confidence for the design and criticality safety analysis of uranium-containing systems. Sections 2 of this report documents the results of investigation into the cause of the bias observed in Sect. 1. The results of this study indicate that the bias seen in Sect. 1 is caused by code bias, cross-section bias, reporting bias, and modeling bias. There is evidence that many of the experiments used in this validation and in previous validations are not adequately documented. The uncertainty in the experimental parameters overshadows bias caused by the code and cross sections and prohibits code validation to better than about 1% in k/sub eff/. 48 refs., 19 figs., 19 tabs

  2. Vectorization of the KENO V.a criticality safety code

    International Nuclear Information System (INIS)

    Hollenbach, D.F.; Dodds, H.L.; Petrie, L.M.

    1991-01-01

    The development of the vector processor, which is used in the current generation of supercomputers and is beginning to be used in workstations, provides the potential for dramatic speed-up for codes that are able to process data as vectors. Unfortunately, the stochastic nature of Monte Carlo codes prevents the old scalar version of these codes from taking advantage of the vector processors. New Monte Carlo algorithms that process all the histories undergoing the same event as a batch are required. Recently, new vectorized Monte Carlo codes have been developed that show significant speed-ups when compared to the scalar version of themselves or equivalent codes. This paper discusses the vectorization of an already existing and widely used criticality safety code, KENO V.a All the changes made to KENO V.a are transparent to the user making it possible to upgrade from the standard scalar version of KENO V.a to the vectorized version without learning a new code

  3. Peregrinaciones parisinas: Rubén Darío

    Directory of Open Access Journals (Sweden)

    Beatriz Colombi

    1996-11-01

    Full Text Available Hacia 1900 se nuclea en París un grupo de corresponsales latinoamericanos conformando una suerte de enclave que reúne a figuras como Rubén Darío, Manuel Ugarte, Amado Nervo o Enrique Gómez Carrillo. Desde sus respectivas columnas estos cronistas construyen imágenes del mundo moderno atravesadas por el conflicto de pertenencia y marginalidad respecto al mismo. Este trabajo analiza las entregas que Rubén Darío escribe para La Nación de Buenos Aires durante la Feria Internacional de Paris de 1900, en relación con su contexto discursivo. En la enunciación de estas crónicas se alternan pasajes donde prima la superficialidad de la crónica elegante parisina con otras secciones argumentativas que dan cuenta de los desplazamientos de este sujeto entre el 'chroniqueur' y el intelectual que interviene -con la autoridad que le otorga su liderazgo estético- en el campo de los sucesos políticos, desmoronando cualquier 'fetichización' del espectáculo. Darío trama en su crónica la línea 'ondulante' de su prosa de artista con la línea 'informativa' de su tarea de diarista, imponiendo una marca 'modern style' a su escritura, que privilegia imágenes donde se fusionan elementos de ámbitos dispares; también se contamina de la retórica del acontecimiento moderno, en una hibridez propia del efecto sumativo de ese vasto mercado. Las crónicas, reunidas luego en Peregrinaciones de 1901, señalan también el pasaje entre el gran mercado cultural y el pequeño mercado estético, en una posición anfibia propia de esta textualidad

  4. Feeding Dar es Salaam: a symbiotic food system perspective

    OpenAIRE

    Wegerif, Marc C.A.

    2017-01-01

    This thesis is a sociological analysis of the agri-food system that feeds most of the over four and a half million residents of the fast-growing city of Dar es Salaam in Tanzania. It is based on qualitative research that has generated a picture of the food system that supplies the important foods for the majority of residents of the city. The research took an actor orientated approach and started from urban eaters and then followed the food back through retailers, processors and transporters ...

  5. Performance testing of LiDAR exploitation software

    Science.gov (United States)

    Varela-González, M.; González-Jorge, H.; Riveiro, B.; Arias, P.

    2013-04-01

    Mobile LiDAR systems are being used widely in recent years for many applications in the field of geoscience. One of most important limitations of this technology is the large computational requirements involved in data processing. Several software solutions for data processing are available in the market, but users are often unknown about the methodologies to verify their performance accurately. In this work a methodology for LiDAR software performance testing is presented and six different suites are studied: QT Modeler, AutoCAD Civil 3D, Mars 7, Fledermaus, Carlson and TopoDOT (all of them in x64). Results depict as QTModeler, TopoDOT and AutoCAD Civil 3D allow the loading of large datasets, while Fledermaus, Mars7 and Carlson do not achieve these powerful performance. AutoCAD Civil 3D needs large loading time in comparison with the most powerful softwares such as QTModeler and TopoDOT. Carlson suite depicts the poorest results among all the softwares under study, where point clouds larger than 5 million points cannot be loaded and loading time is very large in comparison with the other suites even for the smaller datasets. AutoCAD Civil 3D, Carlson and TopoDOT show more threads than other softwares like QTModeler, Mars7 and Fledermaus.

  6. VA Health Care: VA Spends Millions on Post-Traumatic Stress Disorder Research and Incorporates Research Outcomes into Guidelines and Policy for Post-Traumatic Stress Disorder Services

    Science.gov (United States)

    2011-01-01

    post - traumatic stress disorder ( PTSD ) and...Veterans Affairs (VA) Intramural Post - Traumatic Stress Disorder ( PTSD ) Research Funding and VA’s Medical and Prosthetic Research Appropriation...Table 6: Department of Veterans Affairs (VA) Research Centers and Programs That Conduct or Support Post - Traumatic Stress Disorder ( PTSD ) Research

  7. 2011-2013 Indiana Statewide Imagery and LiDAR Program: Lake Michigan Watershed Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Indiana's Statewide LiDAR data is produced at 1.5-meter average post spacing for all 92 Indiana Counties covering more than 36,420 square miles. New LiDAR data was...

  8. Diversity arrays technology (DArT) markers in apple for genetic linkage maps

    NARCIS (Netherlands)

    Schouten, H.J.; Weg, van de W.E.; Carling, J.; Khan, S.A.; McKay, S.J.; Kaauwen, van M.P.W.

    2012-01-01

    Diversity Arrays Technology (DArT) provides a high-throughput whole-genome genotyping platform for the detection and scoring of hundreds of polymorphic loci without any need for prior sequence information. The work presented here details the development and performance of a DArT genotyping array for

  9. Investigating assumptions of crown archetypes for modelling LiDAR returns

    NARCIS (Netherlands)

    Calders, K.; Lewis, P.; Disney, M.; Verbesselt, J.; Herold, M.

    2013-01-01

    LiDAR has the potential to derive canopy structural information such as tree height and leaf area index (LAI), via models of the LiDAR signal. Such models often make assumptions regarding crown shape to simplify parameter retrieval and crown archetypes are typically assumed to contain a turbid

  10. Anti-diabetic drugs in the private and public sector in Dar es Salaam ...

    African Journals Online (AJOL)

    Objectives: To compare availability, cost, affordability and sources of anti-diabetic drugs between private and public health facilities in Dar es Salaam, Tanzania. Design: Cross sectional descriptive study. Setting: Diabetic clinics in private and public health facilities in Dar es Salaam, Tanzania. Subjects: Eighty patients ...

  11. Wayne and Washtenaw Counties 1.0 PPSM LiDAR

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: Wayne and Washtenaw Counties 1.0 PPSM LiDAR LiDAR Data Acquisition and Processing Production Task USGS CONTRACT: 07CRCN0006 TASK ORDER NUMBER: G09PD00300...

  12. Status and prospects for LiDAR remote sensing of forested ecosystems

    Science.gov (United States)

    M. A. Wulder; N. C. Coops; A. T. Hudak; F. Morsdorf; R. Nelson; G. Newnham; M. Vastaranta

    2013-01-01

    The science associated with the use of airborne and satellite Light Detection and Ranging (LiDAR) to remotely sense forest structure has rapidly progressed over the past decade. LiDAR has evolved from being a poorly understood, potentially useful tool to an operational technology in a little over a decade, and these instruments have become a major success story in...

  13. 47 CFR 25.401 - Satellite DARS applications subject to competitive bidding.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 2 2010-10-01 2010-10-01 false Satellite DARS applications subject to competitive bidding. 25.401 Section 25.401 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES SATELLITE COMMUNICATIONS Competitive Bidding Procedures for DARS § 25.401...

  14. Remote sensing of Sonoran Desert vegetation structure and phenology with ground-based LiDAR

    Science.gov (United States)

    Sankey, Joel B.; Munson, Seth M.; Webb, Robert H.; Wallace, Cynthia S.A.; Duran, Cesar M.

    2015-01-01

    Long-term vegetation monitoring efforts have become increasingly important for understanding ecosystem response to global change. Many traditional methods for monitoring can be infrequent and limited in scope. Ground-based LiDAR is one remote sensing method that offers a clear advancement to monitor vegetation dynamics at high spatial and temporal resolution. We determined the effectiveness of LiDAR to detect intra-annual variability in vegetation structure at a long-term Sonoran Desert monitoring plot dominated by cacti, deciduous and evergreen shrubs. Monthly repeat LiDAR scans of perennial plant canopies over the course of one year had high precision. LiDAR measurements of canopy height and area were accurate with respect to total station survey measurements of individual plants. We found an increase in the number of LiDAR vegetation returns following the wet North American Monsoon season. This intra-annual variability in vegetation structure detected by LiDAR was attributable to a drought deciduous shrub Ambrosia deltoidea, whereas the evergreen shrub Larrea tridentata and cactus Opuntia engelmannii had low variability. Benefits of using LiDAR over traditional methods to census desert plants are more rapid, consistent, and cost-effective data acquisition in a high-resolution, 3-dimensional context. We conclude that repeat LiDAR measurements can be an effective method for documenting ecosystem response to desert climatology and drought over short time intervals and at detailed-local spatial scale.

  15. Flood Modeling Using a Synthesis of Multi-Platform LiDAR Data

    Directory of Open Access Journals (Sweden)

    Ryan M. Csontos

    2013-09-01

    Full Text Available This study examined the utility of a high resolution ground-based (mobile and terrestrial Light Detection and Ranging (LiDAR dataset (0.2 m point-spacing supplemented with a coarser resolution airborne LiDAR dataset (5 m point-spacing for use in a flood inundation analysis. The techniques for combining multi-platform LiDAR data into a composite dataset in the form of a triangulated irregular network (TIN are described, and quantitative comparisons were made to a TIN generated solely from the airborne LiDAR dataset. For example, a maximum land surface elevation difference of 1.677 m and a mean difference of 0.178 m were calculated between the datasets based on sample points. Utilizing the composite and airborne LiDAR-derived TINs, a flood inundation comparison was completed using a one-dimensional steady flow hydraulic modeling analysis. Quantitative comparisons of the water surface profiles and depth grids indicated an underestimation of flooding extent, volume, and maximum flood height using the airborne LiDAR data alone. A 35% increase in maximum flood height was observed using the composite LiDAR dataset. In addition, the extents of the water surface profiles generated from the two datasets were found to be statistically significantly different. The urban and mountainous characteristics of the study area as well as the density (file size of the high resolution ground based LiDAR data presented both opportunities and challenges for flood modeling analyses.

  16. University of Dar es Salaam Library Journal - Vol 9, No 1 (2007)

    African Journals Online (AJOL)

    Gender Analysis Of Electronic Information Resource Use: The Case Of The University Of Dar Es Salaam, Tanzania · EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT DOWNLOAD FULL ... A Bibliometric Study Of Research On Dar Es Salaam Region: 1980 To 2003 · EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  17. Airborne LiDAR reflective linear feature extraction for strip adjustment and horizontal accuracy determination.

    Science.gov (United States)

    2009-02-01

    ODOT's Office of Aerial Engineering (OAE) has been using an Opetch 30/70 ALTM airborne LiDAR system for about four years. The introduction of LiDAR technology was a major development towards improving the mapping operations. The overall experiences a...

  18. Jean Lafitte 2013, 1.0 Meter LiDAR, Classified point cloud

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) dataset is a survey of the Jean Lafitte,G13PD00214, 1.0 Meter LiDAR Survey Area in south of New Orleans and encompasses 77...

  19. The Typology of Female Sex Workers in Dar-es-Salaam ...

    African Journals Online (AJOL)

    Objective: To establish the categories of female sex workers in Dar es Salaam. Methods: We conducted in depth-interviews with 32 female sex workers (FSWs) in five geographic areas of Dar-es-Salaam known to be the primary residential and working places, three local government leaders in three of the five areas known ...

  20. Epidemiological Studies on Bovine Mastitis in Smallholder Dairy Herds in the Dar es Salaam Region, Tanzania

    NARCIS (Netherlands)

    Kivaria, F.M.

    2006-01-01

    Recently the number of milking cows has increased substantially in the Dar es Salaam region due to an increasing demand for fresh milk in this densely populated urban centre. It is estimated that there are 1,765 smallholder dairy herds with 8,233 improved dairy animals in and around the Dar es

  1. Mapping of landslides under dense vegetation cover using object - oriented analysis and LiDAR derivatives

    NARCIS (Netherlands)

    Van Den Eeckhout, Miet; Kerle, N.; Hervas, Javier; Supper, Robert; Margottini, C.; Canuti, P.; Sassa, K.

    2013-01-01

    Light Detection and Ranging (LiDAR) and its wide range of derivative products have become a powerful tool in landslide research, particularly for landslide identification and landslide inventory mapping. In contrast to the many studies that use expert-based analysis of LiDAR derivatives to identify

  2. Comparisons between field- and LiDAR-based measures of stand structrual complexity

    Science.gov (United States)

    Van R. Kane; Robert J. McGaughey; Jonathan D. Bakker; Rolf F. Gersonde; James A. Lutz; Jerry F. Franklin

    2010-01-01

    Forest structure, as measured by the physical arrangement of trees and their crowns, is a fundamental attribute of forest ecosystems that changes as forests progress through successional stages. We examined whether LiDAR data could be used to directly assess the successional stage of forests by determining the degree to which the LiDAR data would show the same relative...

  3. Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys

    Science.gov (United States)

    Andrew T. Hudak; Eva K. Strand; Lee A. Vierling; John C. Byrne; Jan U. H. Eitel; Sebastian Martinuzzi; Michael J. Falkowski

    2012-01-01

    Sound forest policy and management decisions to mitigate rising atmospheric CO2 depend upon accurate methodologies to quantify forest carbon pools and fluxes over large tracts of land. LiDAR remote sensing is a rapidly evolving technology for quantifying aboveground biomass and thereby carbon pools; however, little work has evaluated the efficacy of repeat LiDAR...

  4. FY12 St Johns River Water Management LiDAR Survey: Putnam (FL)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) dataset is a survey of the FY12 St Johns River Water Management LiDAR Survey, project area in north-central Florida and...

  5. Using satellite and airborne LiDAR to model woodpecker habitat occupancy at the landscape scale

    Science.gov (United States)

    Lee A. Vierling; Kerri T. Vierling; Patrick Adam; Andrew T. Hudak

    2013-01-01

    Incorporating vertical vegetation structure into models of animal distributions can improve understanding of the patterns and processes governing habitat selection. LiDAR can provide such structural information, but these data are typically collected via aircraft and thus are limited in spatial extent. Our objective was to explore the utility of satellite-based LiDAR...

  6. Registration of vehicle based panoramic image and LiDAR point cloud

    Science.gov (United States)

    Chen, Changjun; Cao, Liang; Xie, Hong; Zhuo, Xiangyu

    2013-10-01

    Higher quality surface information would be got when data from optical images and LiDAR were integrated, owing to the fact that optical images and LiDAR point cloud have unique characteristics that make them preferable in many applications. While most previous works focus on registration of pinhole perspective cameras to 2D or 3D LiDAR data. In this paper, a method for the registration of vehicle based panoramic image and LiDAR point cloud is proposed. Using the translation among panoramic image, single CCD image, laser scanner and Position and Orientation System (POS) along with the GPS/IMU data, precise co-registration between the panoramic image and the LiDAR point cloud in the world system is achieved. Results are presented under a real world data set collected by a new developed Mobile Mapping System (MMS) integrated with a high resolution panoramic camera, two laser scanners and a POS.

  7. Building capacity in VA to provide emergency gynecology services for women.

    Science.gov (United States)

    Cordasco, Kristina M; Huynh, Alexis K; Zephyrin, Laurie; Hamilton, Alison B; Lau-Herzberg, Amy E; Kessler, Chad S; Yano, Elizabeth M

    2015-04-01

    Visits to Veterans Administration (VA) emergency departments (EDs) are increasingly being made by women. A 2011 national inventory of VA emergency services for women revealed that many EDs have gaps in their resources and processes for gynecologic emergency care. To guide VA in addressing these gaps, we sought to understand factors acting as facilitators and/or barriers to improving VA ED capacity for, and quality of, emergency gynecology care. Semistructured interviews with VA emergency and women's health key informants. ED directors/providers (n=14), ED nurse managers (n=13), and Women Veteran Program Managers (n=13) in 13 VA facilities. Leadership, staff, space, demand, funding, policies, and community were noted as important factors influencing VA EDs building capacity and improving emergency gynecologic care for women Veterans. These factors are intertwined and cross multiple organizational levels so that each ED's capacity is a reflection not only of its own factors, but also those of its local medical center and non-VA community context as well as VA regional and national trends and policies. Policies and quality improvement initiatives aimed at building VA's emergency gynecologic services for women need to be multifactorial and aimed at multiple organizational levels. Policies need to be flexible to account for wide variations across EDs and their medical center and community contexts. Approaches that build and encourage local leadership engagement, such as evidence-based quality improvement methodology, are likely to be most effective.

  8. Canopy wake measurements using multiple scanning wind LiDARs

    Science.gov (United States)

    Markfort, C. D.; Carbajo Fuertes, F.; Iungo, V.; Stefan, H. G.; Porte-Agel, F.

    2014-12-01

    Canopy wakes have been shown, in controlled wind tunnel experiments, to significantly affect the fluxes of momentum, heat and other scalars at the land and water surface over distances of ˜O(1 km), see Markfort et al. (EFM, 2013). However, there are currently no measurements of the velocity field downwind of a full-scale forest canopy. Point-based anemometer measurements of wake turbulence provide limited insight into the extent and details of the wake structure, whereas scanning Doppler wind LiDARs can provide information on how the wake evolves in space and varies over time. For the first time, we present measurements of the velocity field in the wake of a tall patch of forest canopy. The patch consists of two uniform rows of 40-meter tall deciduous, plane trees, which border either side of the Allée de Dorigny, near the EPFL campus. The canopy is approximately 250 m long, and it is approximately 40 m wide, along the direction of the wind. A challenge faced while making field measurements is that the wind rarely intersects a canopy normal to the edge. The resulting wake flow may be deflected relative to the mean inflow. Using multiple LiDARs, we measure the evolution of the wake due to an oblique wind blowing over the canopy. One LiDAR is positioned directly downwind of the canopy to measure the flow along the mean wind direction and the other is positioned near the canopy to evaluate the transversal component of the wind and how it varies with downwind distance from the canopy. Preliminary results show that the open trunk space near the base of the canopy results in a surface jet that can be detected just downwind of the canopy and farther downwind dissipates as it mixes with the wake flow above. A time-varying recirculation zone can be detected by the periodic reversal of the velocity near the surface, downwind of the canopy. The implications of canopy wakes for measurement and modeling of surface fluxes will be discussed.

  9. Can reported VaR be used as an indicator of the volatility of share prices? Evidence from UK banks.

    OpenAIRE

    Ou, Shian Kao

    2006-01-01

    Value at Risk (VaR) is used as an indicator to measure the risks contained in a firm. With the uprising development of VaR theory and computational techniques, the VaR is nowadays adopted by banks and reported in annual reports. Since the method to calculate VaR is questioned, and the reported VaR can not be thoroughly audited, this paper attempts to find the relationship between the reported VaR and the volatility of share price for UK listed banks. This paper reviews literature about VaR an...

  10. V.A. Gorodtsov and Kazan: tour 1920

    Directory of Open Access Journals (Sweden)

    Kuzminykh Sergey V.

    2014-12-01

    Full Text Available A fragment of an archival document is published, that is connected to the September 8-12, 1920, stay in Kazan of V.A. Gorodtsov, who headed the Archaeological Subdepartment with the Museum Department of the RSFSR People’s Commissariat for Education, in the framework of his inspecting tour around the towns of the Volga and Urals region. The document is a diary, and its entries reflect information about the tour and its results that had not been exhaustively reflected in official documentation. It narrates about meetings, polemic exchanges, Gorodtsov’s addresses to scientists and the public, his impressions of the archaeological investigations in the regions, and the state of the museums and collections. V.A. Gorodtsov’s encounters and personal contacts with B.F. Adler, N.F. Katanov, M.G. Hudyakov and other researchers had played a positive role in archaeology development in the Volga-Kama region during the hardest times after the revolution.

  11. Building Contour Extraction Based on LiDAR Point Cloud

    Directory of Open Access Journals (Sweden)

    Zhang Xu-Qing

    2017-01-01

    Full Text Available This paper presents a new method for solving the problem of utilizing the LiDAR data to extract the building contour line. For detection of the edge points between the building test points by using the least squares fitting to get the edge line of buildings and give the weight determining of the building of edge line slope depend on the length of the edge line. And then get the weighted mean of the positive and negative slope of the building edge line. Based on the structure of the adjacent edge perpendicular hypothesis, regularization processing to extract the edge of the skeleton line perpendicular. The experiments show that the extracted building edges have the good accuracy and have the good applicability in complex urban areas.

  12. Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania.

    Science.gov (United States)

    Dongus, Stefan; Nyika, Dickson; Kannady, Khadija; Mtasiwa, Deo; Mshinda, Hassan; Gosoniu, Laura; Drescher, Axel W; Fillinger, Ulrike; Tanner, Marcel; Killeen, Gerry F; Castro, Marcia C

    2009-05-01

    A cross-sectional survey of agricultural areas, combined with routinely monitored mosquito larval information, was conducted in urban Dar es Salaam, Tanzania, to investigate how agricultural and geographical features may influence the presence of Anopheles larvae. Data were integrated into a geographical information systems framework, and predictors of the presence of Anopheles larvae in farming areas were assessed using multivariate logistic regression with independent random effects. It was found that more than 5% of the study area (total size 16.8 km2) was used for farming in backyard gardens and larger open spaces. The proportion of habitats containing Anopheles larvae was 1.7 times higher in agricultural areas compared to other areas (95% confidence interval = 1.56-1.92). Significant geographic predictors of the presence of Anopheles larvae in gardens included location in lowland areas, proximity to river, and relatively impermeable soils. Agriculture-related predictors comprised specific seedbed types, mid-sized gardens, irrigation by wells, as well as cultivation of sugar cane or leafy vegetables. Negative predictors included small garden size, irrigation by tap water, rainfed production and cultivation of leguminous crops or fruit trees. Although there was an increased chance of finding Anopheles larvae in agricultural sites, it was found that breeding sites originated by urban agriculture account for less than a fifth of all breeding sites of malaria vectors in Dar es Salaam. It is suggested that strategies comprising an integrated malaria control effort in malaria-endemic African cities include participatory involvement of farmers by planting shade trees near larval habitats.

  13. Delineation of peatland lagg boundaries from airborne LiDAR

    Science.gov (United States)

    Langlois, Melanie N.; Richardson, Murray C.; Price, Jonathan S.

    2017-09-01

    In Canada, peatlands are the most common type of wetland, but boundary delineation in peatland complexes has received little attention in the scientific literature. Typically, peatland boundaries are mapped as crisp, absolute features, and the transitional lagg zone—the ecotone found between a raised bog and the surrounding mineral land—is often overlooked. In this study, we aim (1) to advance existing approaches for detecting and locating laggs and lagg boundaries using airborne LiDAR surveys and (2) to describe the spatial distribution of laggs around raised bog peatlands. Two contrasting spatial analytical approaches for lagg detection were tested using five LiDAR-derived topographic and vegetation indices: topography, vegetation height, topographic wetness index, the standard deviation of the vegetation's height (as a proxy for the complexity of the vegetation's structure), and local indices of elevation variance. Using a dissimilarity approach (edge-detection, split-moving window analysis), no one variable accurately depicted both the lagg-mineral land and bog-lagg boundaries. Some indicators were better at predicting the bog-lagg boundary (i.e., vegetation height) and others at finding the lagg-mineral land boundary (i.e., topography). Dissimilarity analysis reinforces the usefulness of derived variables (e.g., wetness indices) in locating laggs, especially for those with weak topographic and vegetation gradients. When the lagg was confined between the bog and the adjacent upland, it took a linear form, parallel to the peatland's edge and was easier to predict. When the adjacent mineral land was flat or sloping away from the peatland, the lagg was discontinuous and intermittent and more difficult to predict.

  14. Characteristics Associated With Utilization of VA and Non-VA Care Among Iraq and Afghanistan Veterans With Post-Traumatic Stress Disorder.

    Science.gov (United States)

    Finley, Erin P; Mader, Michael; Bollinger, Mary J; Haro, Elizabeth K; Garcia, Hector A; Huynh, Alexis K; Pugh, Jacqueline A; Pugh, Mary Jo

    2017-11-01

    Post-traumatic stress disorder (PTSD) affects nearly one-fifth of Iraq and Afghanistan Veterans (IAV). The Department of Veterans Affairs (VA) has invested in making evidence-based psychotherapies for PTSD available at every VA facility nationwide; however, an unknown number of veterans opt to receive care in the community rather than with VA. We compared PTSD care utilization patterns among Texas IAV with PTSD, an ethnically, geographically, and economically diverse group. To identify IAV in Texas with service-connected disability for PTSD, we used a crosswalk of VA administrative data from the Operation Enduring Freedom/Operation Iraqi Freedom Roster and service-connected disability data from the Veterans Benefits Administration. We then surveyed a random sample of 1,128 veterans from the cohort, stratified by sex, rurality, and past use/nonuse of any VA care. Respondents were classified into current utilization groups (VA only, non-VA only, dual care, and no professional PTSD treatment) on the basis of reported PTSD care in the prior 12 months. Responses were weighted to account for sample stratification and for response rate within each strata. Utilization group characteristics were compared to the population mean using the one sample Z-test for proportions, or the t-test for means. A multinomial logistic regression model was used to identify survey variables significantly associated with current utilization group. 249 IAV completed the survey (28.4% response rate). Respondents reported receiving PTSD care: in the VA only (58.3%); in military or community-based settings (including private practitioners) (non-VA only, 8.7%); and in both VA and non-VA settings (dual care, 14.5%). The remainder (18.5%) reported no professional PTSD care in the prior year. Veterans ineligible for Department of Defense care, uncomfortable talking about their problems, and opposed to medication were more likely to receive non-VA care only, whereas those with lower household income

  15. KENO V.a Primer: A Primer for Criticality Calculations with SCALE/KENO V.a Using CSPAN for Input

    International Nuclear Information System (INIS)

    Busch, R.D.

    2003-01-01

    The SCALE (Standardized Computer Analyses for Licensing Evaluation) computer software system developed at Oak Ridge National Laboratory (ORNL) is widely used and accepted around the world for criticality safety analyses. The well-known KENO V.a three-dimensional Monte Carlo criticality computer code is the primary criticality safety analysis tool in SCALE. The KENO V.a primer is designed to help a new user understand and use the SCALE/KENO V.a Monte Carlo code for nuclear criticality safety analyses. It assumes that the user has a college education in a technical field. There is no assumption of familiarity with Monte Carlo codes in general or with SCALE/KENO V.a in particular. The primer is designed to teach by example, with each example illustrating two or three features of SCALE/KENO V.a that are useful in criticality analyses. The primer is based on SCALE 4.4a, which includes the Criticality Safety Processor for Analysis (CSPAN) input processor for Windows personal computers (PCs). A second edition of the primer, which uses the new KENO Visual Editor, is currently under development at ORNL and is planned for publication in late 2003. Each example in this first edition of the primer uses CSPAN to provide the framework for data input. Starting with a Quickstart section, the primer gives an overview of the basic requirements for SCALE/KENO V.a input and allows the user to quickly run a simple criticality problem with SCALE/KENO V.a. The sections that follow Quickstart include a list of basic objectives at the beginning that identifies the goal of the section and the individual SCALE/KENO V.a features which are covered in detail in the example problems in that section. Upon completion of the primer, a new user should be comfortable using CSPAN to set up criticality problems in SCALE/KENO V.a

  16. Job satisfaction and burnout among VA and community mental health workers.

    Science.gov (United States)

    Salyers, Michelle P; Rollins, Angela L; Kelly, Yu-Fan; Lysaker, Paul H; Williams, Jane R

    2013-03-01

    Building on two independent studies, we compared burnout and job satisfaction of 66 VA staff and 86 community mental health center staff in the same city. VA staff reported significantly greater job satisfaction and accomplishment, less emotional exhaustion and lower likelihood of leaving their job. Sources of work satisfaction were similar (primarily working with clients, helping/witnessing change). VA staff reported fewer challenges with job-related aspects (e.g. flexibility, pay) but more challenges with administration. Community mental health administrators and policymakers may need to address job-related concerns (e.g. pay) whereas VA administrators may focus on reducing, and helping workers navigate, administrative policies.

  17. Helman defends decision to pull VA sponsorship of Veterans day parade

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2013-04-01

    Full Text Available No abstract available. Article truncated after 150 words. Sharon Helman, Phoenix VA Director, defended her decision to cancel VA sponsorship of the annual Phoenix Veterans Day Parade in a 4/10/13 email to VA employees. Helman said that VA sponsorship was cancelled because of “…priorities in the organization (specifically access, and heightened awareness over liability concerns which VA Legal Counsel brought forward”. She concluded her letter by warning “… that all media inquiries should be forwarded to Paul Coupaud, Acting Public Affairs Officer”. VA officials initially said fear of litigation prompted the review of VA support. Last year, a float carrying wounded Veterans in a Midland, Texas, parade collided with a freight train, killing four and injuring 17. Crash victims and their families filed lawsuits in Texas against Union Pacific Railroad and the float owner. The VA was not a defendant, and the VA has not issued any national directives on liability as a result of the tragedy.In…

  18. Important LiDAR metrics for discriminating forest tree species in Central Europe

    Science.gov (United States)

    Shi, Yifang; Wang, Tiejun; Skidmore, Andrew K.; Heurich, Marco

    2018-03-01

    Numerous airborne LiDAR-derived metrics have been proposed for classifying tree species. Yet an in-depth ecological and biological understanding of the significance of these metrics for tree species mapping remains largely unexplored. In this paper, we evaluated the performance of 37 frequently used LiDAR metrics derived under leaf-on and leaf-off conditions, respectively, for discriminating six different tree species in a natural forest in Germany. We firstly assessed the correlation between these metrics. Then we applied a Random Forest algorithm to classify the tree species and evaluated the importance of the LiDAR metrics. Finally, we identified the most important LiDAR metrics and tested their robustness and transferability. Our results indicated that about 60% of LiDAR metrics were highly correlated to each other (|r| > 0.7). There was no statistically significant difference in tree species mapping accuracy between the use of leaf-on and leaf-off LiDAR metrics. However, combining leaf-on and leaf-off LiDAR metrics significantly increased the overall accuracy from 58.2% (leaf-on) and 62.0% (leaf-off) to 66.5% as well as the kappa coefficient from 0.47 (leaf-on) and 0.51 (leaf-off) to 0.58. Radiometric features, especially intensity related metrics, provided more consistent and significant contributions than geometric features for tree species discrimination. Specifically, the mean intensity of first-or-single returns as well as the mean value of echo width were identified as the most robust LiDAR metrics for tree species discrimination. These results indicate that metrics derived from airborne LiDAR data, especially radiometric metrics, can aid in discriminating tree species in a mixed temperate forest, and represent candidate metrics for tree species classification and monitoring in Central Europe.

  19. Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR.

    Science.gov (United States)

    Brede, Benjamin; Lau, Alvaro; Bartholomeus, Harm M; Kooistra, Lammert

    2017-10-17

    In recent years, LIght Detection And Ranging (LiDAR) and especially Terrestrial Laser Scanning (TLS) systems have shown the potential to revolutionise forest structural characterisation by providing unprecedented 3D data. However, manned Airborne Laser Scanning (ALS) requires costly campaigns and produces relatively low point density, while TLS is labour intense and time demanding. Unmanned Aerial Vehicle (UAV)-borne laser scanning can be the way in between. In this study, we present first results and experiences with the RIEGL RiCOPTER with VUX ® -1UAV ALS system and compare it with the well tested RIEGL VZ-400 TLS system. We scanned the same forest plots with both systems over the course of two days. We derived Digital Terrain Model (DTMs), Digital Surface Model (DSMs) and finally Canopy Height Model (CHMs) from the resulting point clouds. ALS CHMs were on average 11.5 c m higher in five plots with different canopy conditions. This showed that TLS could not always detect the top of canopy. Moreover, we extracted trunk segments of 58 trees for ALS and TLS simultaneously, of which 39 could be used to model Diameter at Breast Height (DBH). ALS DBH showed a high agreement with TLS DBH with a correlation coefficient of 0.98 and root mean square error of 4.24 c m . We conclude that RiCOPTER has the potential to perform comparable to TLS for estimating forest canopy height and DBH under the studied forest conditions. Further research should be directed to testing UAV-borne LiDAR for explicit 3D modelling of whole trees to estimate tree volume and subsequently Above-Ground Biomass (AGB).

  20. Mapping river bathymetry with a small footprint green LiDAR: Applications and challenges

    Science.gov (United States)

    Kinzel, Paul J.; Legleiter, Carl; Nelson, Jonathan M.

    2013-01-01

    Airborne bathymetric Light Detection And Ranging (LiDAR) systems designed for coastal and marine surveys are increasingly sought after for high-resolution mapping of fluvial systems. To evaluate the potential utility of bathymetric LiDAR for applications of this kind, we compared detailed surveys collected using wading and sonar techniques with measurements from the United States Geological Survey’s hybrid topographic⁄ bathymetric Experimental Advanced Airborne Research LiDAR (EAARL). These comparisons, based upon data collected from the Trinity and Klamath Rivers, California, and the Colorado River, Colorado, demonstrated

  1. In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR

    OpenAIRE

    Shangpeng Sun; Changying Li; Andrew H. Paterson

    2017-01-01

    A LiDAR-based high-throughput phenotyping (HTP) system was developed for cotton plant phenotyping in the field. The HTP system consists of a 2D LiDAR and an RTK-GPS mounted on a high clearance tractor. The LiDAR scanned three rows of cotton plots simultaneously from the top and the RTK-GPS was used to provide the spatial coordinates of the point cloud during data collection. Configuration parameters of the system were optimized to ensure the best data quality. A height profile for each plot w...

  2. Genetic linkage mapping in an F2 perennial ryegrass population using DArT markers

    DEFF Research Database (Denmark)

    Tomaszewski, Céline; Byrne, Stephen; Foito, Alexandra

    2012-01-01

    Perennial ryegrass is the principal forage grass species used in temperate agriculture. In recent years, significant efforts have been made to develop molecular marker strategies to allow cost-effective characterization of a large number of loci simultaneously. One such strategy involves using DAr......T markers, and a DArT array has recently been developed for the Lolium-Festuca complex. In this study, we report the first use of the DArTFest array to generate a genetic linkage map based on 326 markers in a Lolium perenne F2 population, consisting of 325 genotypes. For proof of concept, the map was used...

  3. 4D Near Real-Time Environmental Monitoring Using Highly Temporal LiDAR

    Science.gov (United States)

    Höfle, Bernhard; Canli, Ekrem; Schmitz, Evelyn; Crommelinck, Sophie; Hoffmeister, Dirk; Glade, Thomas

    2016-04-01

    The last decade has witnessed extensive applications of 3D environmental monitoring with the LiDAR technology, also referred to as laser scanning. Although several automatic methods were developed to extract environmental parameters from LiDAR point clouds, only little research has focused on highly multitemporal near real-time LiDAR (4D-LiDAR) for environmental monitoring. Large potential of applying 4D-LiDAR is given for landscape objects with high and varying rates of change (e.g. plant growth) and also for phenomena with sudden unpredictable changes (e.g. geomorphological processes). In this presentation we will report on the most recent findings of the research projects 4DEMON (http://uni-heidelberg.de/4demon) and NoeSLIDE (https://geomorph.univie.ac.at/forschung/projekte/aktuell/noeslide/). The method development in both projects is based on two real-world use cases: i) Surface parameter derivation of agricultural crops (e.g. crop height) and ii) change detection of landslides. Both projects exploit the "full history" contained in the LiDAR point cloud time series. One crucial initial step of 4D-LiDAR analysis is the co-registration over time, 3D-georeferencing and time-dependent quality assessment of the LiDAR point cloud time series. Due to the high amount of datasets (e.g. one full LiDAR scan per day), the procedure needs to be performed fully automatically. Furthermore, the online near real-time 4D monitoring system requires to set triggers that can detect removal or moving of tie reflectors (used for co-registration) or the scanner itself. This guarantees long-term data acquisition with high quality. We will present results from a georeferencing experiment for 4D-LiDAR monitoring, which performs benchmarking of co-registration, 3D-georeferencing and also fully automatic detection of events (e.g. removal/moving of reflectors or scanner). Secondly, we will show our empirical findings of an ongoing permanent LiDAR observation of a landslide (Gresten

  4. Green infrastructure for flood risk management in Dar es Salaam and Copenhagen

    DEFF Research Database (Denmark)

    Mguni, Patience; Herslund, Lise Byskov; Jensen, Marina Bergen

    2015-01-01

    , a comparison of the opportunities and barriers to the implementation of SUDS in Dar es Salaam and Copenhagen is presented. The results indicate that a bottom-up approach in Dar es Salaam is important, with the community level taking the lead, while in Copenhagen the top-down approach currently employed......The risk of flooding in urban areas could be better approached by complementing conventional sewer systems with sustainable urban drainage systems (SUDS) for storm-water management. This may be the case for developing world cities like Dar es Salaam with incomplete sewer services, as well as cities...

  5. Fireworks algorithm for mean-VaR/CVaR models

    Science.gov (United States)

    Zhang, Tingting; Liu, Zhifeng

    2017-10-01

    Intelligent algorithms have been widely applied to portfolio optimization problems. In this paper, we introduce a novel intelligent algorithm, named fireworks algorithm, to solve the mean-VaR/CVaR model for the first time. The results show that, compared with the classical genetic algorithm, fireworks algorithm not only improves the optimization accuracy and the optimization speed, but also makes the optimal solution more stable. We repeat our experiments at different confidence levels and different degrees of risk aversion, and the results are robust. It suggests that fireworks algorithm has more advantages than genetic algorithm in solving the portfolio optimization problem, and it is feasible and promising to apply it into this field.

  6. The SAPPHIRE and 50 MT projects at BWXT, Lynchburg, VA

    International Nuclear Information System (INIS)

    Thiele, R.; Horn, B.; Coates, C.W.; Stainback, J.R.

    2001-01-01

    Full text: When the SAPPHIRE project for the down-blending of HEU material of Khazak origin was initiated in 1996 at BWX Technologies (BWXT) formally Babcock and Wilcox in Lynchburg, VA and the Agency was requested to apply its specially designed safeguards measures to the process with a view to provide assurance to the international community that down-blending had actually taken place as stipulated in the USA-Khazak agreement a learning process was initiated from this effort culminating in the current 50 MT downblending process at the same facility with BWXT, the USA Authorities, and the Agency as partners in this technologically advanced enterprise aimed at the downgrading of a substantial quantity of weapons grade material. In the present paper an overview is provided of the road leading to an effective, and mutually agreeable safeguards approach for carrying out verifications in the sensitive environment of a facility devoted to HEU uranium processing. (author)

  7. Archetypal Analysis of "Almalek and Albrahmh” from Kalila va Demna

    Directory of Open Access Journals (Sweden)

    Ali Noori

    2016-12-01

    Full Text Available Archetype Theory, has been raised from Carl Gustav Young’s Psychoanalytical School. Young knows mental images and Sediments and Hereditary information which there are in the collective unconscious as Archetype. In other word, archetype is general type of repeated experiences and behaviors of human forefathers which rooted in collective unconscious. the most important Archetypes are "Anima"," Animus", "old wise man", "shadow", "mask", "rebirth" ,and "self" and "individuality". Kalila va Demna is the book which is full of allegorical stories, which because of their mythical aspect, are researchable from Archetypal Analytic criticism. One of this stories which Archetypal color is Dominant in it, is "Almalek and Albrahmh” from 16th chapter of Kalila va Demna. In this study, some archetypes such as "shadow", "Anima", "mask", "old wise man", " self " and "individuality" in the story of "Almalek and Albrahmh" from sixteenth chapter of book, has been analyzed. Since either this tale because of being legendary, and consisting of series of dreams – which have given it mythical, symbolic and interpretable nature – has capacity for archetypal analysis, or archetypal approach has high capacity and power to analyze such narrations. The story was investigated on mentioned view, and it was found that king Heblar which has stricken to a kind of Psychosis, Finds its way into the subconscious through dreams and After a confrontation with his anima, under guidance of old wise meets his self (true self and reach to his individuality and Is rescued from distress. It can be said that the king starts his path of the individual process with a dream.  He, in the bigining of the story, with the help of Iran Dokht and at the end of the story, with the help of minister is released of grief and psychosis.

  8. Development of a continuous energy version of KENO V.a

    International Nuclear Information System (INIS)

    Dunn, M.E.; Bentley, C.L.; Goluoglu, S.; Paschal, L.S.; Dodds, H.L.

    1997-01-01

    KENO V.a is a multigroup Monte Carlo code that solves the Boltzmann transport equation and is used extensively in the nuclear criticality safety community to calculate the effective multiplication factor k eff of systems containing fissile material. Because of the smaller amount of disk storage and CPU time required in calculations, multigroup approaches have been preferred over continuous energy (point) approaches in the past to solve the transport equation. With the advent of high-performance computers, storage and CPU limitations are less restrictive, thereby making continuous energy methods viable for transport calculations. Moreover, continuous energy methods avoid many of the assumptions and approximations inherent in multigroup methods. Because a continuous energy version of KENO V.a does not exist, the objective of the work is to develop a new version of KENO V.a that utilizes continuous energy cross sections. Currently, a point cross-section library, which is based on a raw continuous energy cross-section library such as ENDF/B-V is not available for implementation in KENO V.a; however, point cross-section libraries are available for MCNP, another widely used Monte Carlo transport code. Since MCNP cross sections are based on ENDF data and are readily available, a new version of KENO V.a named PKENO V.a has been developed that performs the random walk using MCNP cross sections. To utilize point cross sections, extensive modifications have been made to KENO V.a. At this point in the research, testing of the code is underway. In particular, PKENO V.a, KENO V.a, and MCNP have been used to model nine critical experiments and one subcritical problem. The results obtained with PKENO V.a are in excellent agreement with MCNP, KENO V.a, and experiments

  9. 2006-2008 PAMAP LiDAR Data of Pennsylvania (Northern Counties)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset consists of classified LiDAR (Light Detection and Ranging) elevation points produced by the PAMAP Program. PAMAP data are organized into blocks, which...

  10. 2009 Federal Emergency Management Agency (FEMA) Topographic LiDAR: Fort Kent, Maine

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Camp Dresser McKee Inc. contracted with Sanborn Map Company to provide LiDAR mapping services for Fort Kent, Maine. Utilizing multi-return systems, Light Detection...

  11. Identification of four Drosophila allatostatins as the cognate ligands for the Drosophila orphan receptor DAR-2

    DEFF Research Database (Denmark)

    Lenz, C; Williamson, M; Hansen, G N

    2001-01-01

    The allatostatins are generally inhibitory insect neuropeptides. The Drosophila orphan receptor DAR-2 is a G-protein-coupled receptor, having 47% amino acid residue identity with another Drosophila receptor, DAR-1 (which is also called dros. GPCR, or DGR) that was previously shown...... to be the receptor for an intrinsic Drosophila A-type (cockroach-type) allatostatin. Here, we have permanently expressed DAR-2 in CHO cells and found that it is the cognate receptor for four Drosophila A-type allatostatins, the drostatins-A1 to -A4. Of all the drostatins, drostatin-A4 (Thr...... weakly in the brain. The Drosophila larval gut also contains about 20-30 endocrine cells, expressing the gene for the drostatins-A1 to -A4. We suggest, therefore, that DAR-2 mediates an allatostatin (drostatin)-induced inhibition of gut motility. This is the first report on the permanent and functional...

  12. Case of rhesus antigen weak D type 4.2. (DAR category detection

    Directory of Open Access Journals (Sweden)

    L. L. Golovkina

    2015-01-01

    Full Text Available Serological methods of Rhesus antigens identification in humans cannot identify D-antigen variants. In this article the serological characteristics of Rhesus antigen D weak type 4.2. (Category DAR are described.

  13. 2006 Florida LiDAR: Escambia, Santa Rosa, and Walton Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — ESCAMBIA: The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Escambia County, Florida. These data were produced for Dewberry and...

  14. I Pulmonary aspergilloma: A 15 years experience in Dar es Salaam ...

    African Journals Online (AJOL)

    College of Health Sciences,P 0 Box 65001, Dar es Salaam, Tanzania. Email address: ... esisting lung cavity by a fungus of the genus aspergillus forming ... is a national referral and teaching hospital with a ... Thus, preoperative evaluation and.

  15. LiDAR and DTM Data from Tapajos National Forest in Para, Brazil, 2008

    Data.gov (United States)

    National Aeronautics and Space Administration — This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the Tapajos National Forest in Belterra municipality, Para, Brazil...

  16. 2010 U.S. Geological Survey (USGS) Topographic LiDAR: San Francisco Bay, California

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The primary purpose of this project was to develop a consistent and accurate surface elevation dataset derived from high-accuracy Light Detection and Ranging (LiDAR)...

  17. CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014

    Data.gov (United States)

    National Aeronautics and Space Administration — This data set provides high-resolution LiDAR point cloud data collected during surveys over mangrove forests in the Zambezi River Delta in Mozambique in May 2014....

  18. 2011 Federal Emergency Management Agency (FEMA) Topographic LiDAR: Quinnipiac River Watershed, Connecticut

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Quinnipiac AOI consists of one 443 square mile area. Ground Control is collected throughout the AOI for use in the processing of LiDAR data to ensure data...

  19. 2007 Lake County Board of County Commissioners Topographic LiDAR: Lake County, Florida

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata document describes the LiDAR point data in LAS format produced by Kucera covering the project area of Lake County, FL. The data produced is...

  20. 2007 Southwest Florida Water Management District (SWFWMD) LiDAR: Hillsborough/Little Manatee Districts

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — EarthData International collected ADS-50 derived LiDAR over a portion of Hillsborough and Manatee Counties with a one meter post spacing. The period of collection...

  1. 2007 Southwest Florida Water Management District (SWFWMD) LiDAR: Hernando County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is one component of a digital terrain model (DTM) for the Southwest Florida Water Management Districts FY2006 Digital Orthophoto (B089) and LiDAR...

  2. 2006-2008 PAMAP LiDAR Data of Pennsylvania (Southern Counties)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset consists of classified LiDAR (Light Detection and Ranging) elevation points produced by the PAMAP Program. Additional information is available at the...

  3. LiDAR-derived Vegetation Canopy Structure, Great Smoky Mountains National Park, 2011

    Data.gov (United States)

    National Aeronautics and Space Administration — This dataset provides multiple-return LiDAR-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park (GSMNP)....

  4. Managing pre-eclampsia and eclampsia in Dar es Salaam public ...

    African Journals Online (AJOL)

    Managing pre-eclampsia and eclampsia in Dar es Salaam public health facilities: A focus on equipment, supplies, ... Tanzania Medical Journal ... A checklist was used to assess availability of equipment, supplies and drugs, and a structured ...

  5. 2009 National Renewable Energy Laboratory/Boston Redevelopment Authority Topographic LiDAR: Boston, Massachusetts

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Alliance for Sustainable Energy, LLC contracted with Sanborn to provide LiDAR mapping services for the Boston area. Utilizing multi-return systems, Light...

  6. 2010 U.S. Geological Survey Topographic LiDAR: Atchafalaya Basin, Louisiana

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) dataset is a survey of the Atchafalaya Basin in south-central Louisiana. The entire survey area encompasses 981 square miles....

  7. 2012 USACE Post Sandy Topographic LiDAR: Rhode Island and Massachusetts Coast

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This topographic elevation point data derived from multiple return light detection and ranging (LiDAR) represents 354.272 square miles of coastline for Rhode Island...

  8. 2008 Northwest Florida Water Management District (NWFWMD) LiDAR: Inland Okaloosa County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This Light Detection and Ranging (LiDAR) LAS dataset is a survey of inland Okaloosa County, Florida not covered in the 2008 Florida Department of Emergency...

  9. LiDAR Relative Reflectivity Surface (2011) for the St. Thomas East End Reserve, St. Thomas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This image represents a LiDAR (Light Detection & Ranging) 0.3x0.3 meter resolution relative seafloor reflectivity surface for the St. Thomas East End Reserve...

  10. Surface characteristics modeling and performance evaluation of urban building materials using LiDAR data.

    Science.gov (United States)

    Li, Xiaolu; Liang, Yu

    2015-05-20

    Analysis of light detection and ranging (LiDAR) intensity data to extract surface features is of great interest in remote sensing research. One potential application of LiDAR intensity data is target classification. A new bidirectional reflectance distribution function (BRDF) model is derived for target characterization of rough and smooth surfaces. Based on the geometry of our coaxial full-waveform LiDAR system, the integration method is improved through coordinate transformation to establish the relationship between the BRDF model and intensity data of LiDAR. A series of experiments using typical urban building materials are implemented to validate the proposed BRDF model and integration method. The fitting results show that three parameters extracted from the proposed BRDF model can distinguish the urban building materials from perspectives of roughness, specular reflectance, and diffuse reflectance. A comprehensive analysis of these parameters will help characterize surface features in a physically rigorous manner.

  11. 76 FR 38302 - Safety Zone; Cape Charles Fireworks, Cape Charles Harbor, Cape Charles, VA

    Science.gov (United States)

    2011-06-30

    ... the Town of Cape Charles will sponsor a fireworks display on the shoreline of the navigable waters of...-AA00 Safety Zone; Cape Charles Fireworks, Cape Charles Harbor, Cape Charles, VA AGENCY: Coast Guard... navigable waters of Cape Charles City Harbor in Cape Charles, VA in support of the Fourth of July Fireworks...

  12. 76 FR 27970 - Safety Zone; Cape Charles Fireworks, Cape Charles Harbor, Cape Charles, VA.

    Science.gov (United States)

    2011-05-13

    ... Charles will sponsor a fireworks display on the shoreline of the navigable waters of Cape Charles City...[deg]01'30'' W (NAD 1983). This safety zone will be established in the vicinity of Cape Charles, VA...-AA00 Safety Zone; Cape Charles Fireworks, Cape Charles Harbor, Cape Charles, VA. AGENCY: Coast Guard...

  13. 77 FR 29929 - Safety Zone; Town of Cape Charles Fireworks, Cape Charles Harbor, Cape Charles, VA

    Science.gov (United States)

    2012-05-21

    ... section of this notice. Basis and Purpose On July 4, 2012 the Town of Cape Charles will sponsor a...-AA00 Safety Zone; Town of Cape Charles Fireworks, Cape Charles Harbor, Cape Charles, VA AGENCY: Coast... temporary safety zone on the waters of Cape Charles City Harbor in Cape Charles, VA in support of the Fourth...

  14. 77 FR 60746 - Proposed Information Collection (VA/DOD Joint Disability Evaluation Board Claim) Activity...

    Science.gov (United States)

    2012-10-04

    ... burden of the collection of information on respondents, including through the use of automated collection techniques or the use of other forms of information technology. Title: VA/DOD Joint Disability Evaluation... War on Terror Heroes, VA and the Department of Defense (DOD) have agreed to develop a joint process in...

  15. 76 FR 44288 - Establishment of Class E Airspace; New Market, VA

    Science.gov (United States)

    2011-07-25

    ...-380; Airspace Docket No. 11-AEA-12] Establishment of Class E Airspace; New Market, VA AGENCY: Federal... proposes to establish Class E Airspace at New Market, VA, to accommodate the additional airspace needed for the Standard Instrument Approach Procedures developed for New Market Airport. This action would...

  16. 38 CFR 1.9 - Description, use, and display of VA seal and flag.

    Science.gov (United States)

    2010-07-01

    ... stars represent the five branches of military service. The crossed flags represent our nation's history... employees. (D) Official VA signs. (E) Official publications or graphics issued by and attributed to VA, or...) Souvenir or novelty items. (iii) Toys or commercial gifts or premiums. (iv) Letterhead design, except on...

  17. 78 FR 31840 - Safety Zone; USO Patriotic Festival Air Show, Atlantic Ocean; Virginia Beach, VA

    Science.gov (United States)

    2013-05-28

    ...-AA00 Safety Zone; USO Patriotic Festival Air Show, Atlantic Ocean; Virginia Beach, VA AGENCY: Coast... provide for the safety of life on navigable waters during the USO Patriotic Festival Air Show. This action... Patriotic Festival Air Show, Atlantic Ocean; Virginia Beach, VA. (a) Regulated Area. The following area is a...

  18. 77 FR 74279 - Agency Information Collection (VA/DOD Joint Disability Evaluation Board Claim): Activity under...

    Science.gov (United States)

    2012-12-13

    ... Joint Disability Evaluation Board Claim): Activity under OMB Review AGENCY: Veterans Benefits... . Please refer to ``OMB Control No. 2900-0704.'' SUPPLEMENTARY INFORMATION: Title: VA/DOD Joint Disability Evaluation Board Claim, VA Form 21- 0819. OMB Control Number: 2900-0704. Type of Review: Extension of a...

  19. 75 FR 25321 - Agency Information Collection (VA National Rehabilitation Special Events, Event Registration...

    Science.gov (United States)

    2010-05-07

    ... Winter Sports Clinic Application, VA Form 0924a series. b. National Veterans Wheelchair Games Application.... National Veterans TEE Tournament Application, VA Form 0927a series. e. National Veterans Summer Sports... Form 0929a series. Type of Review: Existing collection in use without an OMB control number. Abstract...

  20. 48 CFR 853.236-70 - VA Form 10-6298, Architect-Engineer Fee Proposal.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false VA Form 10-6298, Architect-Engineer Fee Proposal. 853.236-70 Section 853.236-70 Federal Acquisition Regulations System DEPARTMENT OF...-Engineer Fee Proposal. VA Form 10-6298, Architect-Engineer Fee Proposal, shall be used as prescribed in 836...

  1. A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?

    NARCIS (Netherlands)

    C-L. Chang (Chia-Lin); J.A. Jiménez-Martín (Juan-Ángel); E. Maasoumi (Esfandiar); M.J. McAleer (Michael); T. Pérez-Amaral (Teodosio)

    2015-01-01

    markdownabstract__Abstract__ The Basel Committee on Banking Supervision (BCBS) (2013) recently proposed shifting the quantitative risk metrics system from Value-at-Risk (VaR) to Expected Shortfall (ES). The BCBS (2013) noted that “a number of weaknesses have been identified with using VaR for

  2. 38 CFR 3.2130 - Will VA accept a signature by mark or thumbprint?

    Science.gov (United States)

    2010-07-01

    ... signature by mark or thumbprint? 3.2130 Section 3.2130 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF... of This Title General § 3.2130 Will VA accept a signature by mark or thumbprint? VA will accept signatures by mark or thumbprint if: (a) They are witnessed by two people who sign their names and give their...

  3. Conformational determination of [Leu]enkephalin based on theoretical and experimental VA and VCD spectral analyses

    DEFF Research Database (Denmark)

    Abdali, Salim; Jalkanen, Karl J.; Cao, X.

    2004-01-01

    Conformational determination of [Leu]enkephalin in DMSO-d6 is carried out using VA and VCD spectral analyses. Conformational energies, vibrational frequencies and VA and VCD intensities are calculated using DFT at B3LYP/6-31G* level of theory. Comparison between the measured spectra...

  4. 38 CFR 74.26 - What types of business information will VA collect?

    Science.gov (United States)

    2010-07-01

    ... VETERANS AFFAIRS (CONTINUED) VETERANS SMALL BUSINESS REGULATIONS Records Management § 74.26 What types of business information will VA collect? VA will examine a variety of business records. See § 74.12, “What is... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false What types of business...

  5. 77 FR 21158 - VA Directive 0005 on Scientific Integrity: Availability for Review and Comment

    Science.gov (United States)

    2012-04-09

    ... Draft VA Directive 0005 on Scientific Integrity: [square] Fosters a culture of transparency, integrity, and ethical behavior in the development and application of scientific and technological findings in VA... information from inappropriate political or commercial influence; [square] Ensures that selection and...

  6. 48 CFR 803.7000 - Display of the VA Hotline poster.

    Science.gov (United States)

    2010-10-01

    ... poster. 803.7000 Section 803.7000 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS... Improper Business Practices 803.7000 Display of the VA Hotline poster. (a) Under the circumstances described in paragraph (b) of this section, a contractor must display prominently a VA Hotline poster...

  7. 76 FR 27381 - Proposed Information Collection (Notice of Waiver of VA Compensation or Pension To Receive...

    Science.gov (United States)

    2011-05-11

    ... waive VA benefits for the number of days equal to the number of days in which they received training pay... of Waiver of VA Compensation or Pension To Receive Military Pay and Allowances) Activity; Comment... currently approved collection, and allow 60 days for public comment in response to the notice. This notice...

  8. 78 FR 66265 - Drawbridge Operation Regulation; Elizabeth River, Eastern Branch, Norfolk, VA

    Science.gov (United States)

    2013-11-05

    ... Operation Regulation; Elizabeth River, Eastern Branch, Norfolk, VA AGENCY: Coast Guard, DHS. ACTION: Notice... Elizabeth River Eastern Branch, mile 1.1, at Norfolk, VA. This deviation is necessary to facilitate... maintenance. The Norfolk Southern 5 railroad Bridge, at mile 1.1, across the Elizabeth River (Eastern Branch...

  9. 78 FR 55777 - Proposed Information Collection (VA, National Veterans Sports Programs and Special Events, Event...

    Science.gov (United States)

    2013-09-11

    ... techniques or the use of other forms of information technology. Titles: a. National Disabled Veterans Winter... Form 0928h. m. Surfing Personnel Application, VA Form 0928i. n. Venue Personnel Application, VA Form... Creative Arts Festival, National Veterans TEE Tournament, National Disabled Veterans Winter Sports Clinic...

  10. Comparing VA and private sector healthcare costs for end-stage renal disease.

    Science.gov (United States)

    Hynes, Denise M; Stroupe, Kevin T; Fischer, Michael J; Reda, Domenic J; Manning, Willard; Browning, Margaret M; Huo, Zhiping; Saban, Karen; Kaufman, James S

    2012-02-01

    Healthcare for end-stage renal disease (ESRD) is intensive, expensive, and provided in both the public and private sector. Using a societal perspective, we examined healthcare costs and health outcomes for Department of Veterans Affairs (VA) ESRD patients comparing those who received hemodialysis care at VA versus private sector facilities. Dialysis patients were recruited from 8 VA medical centers from 2001 through 2003 and followed for 12 months in a prospective cohort study. Patient demographics, clinical characteristics, quality of life, healthcare use, and cost data were collected. Healthcare data included utilization (VA), claims (Medicare), and patient self-report. Costs included VA calculated costs, Medicare dialysis facility reports and reimbursement rates, and patient self-report. Multivariable regression was used to compare costs between patients receiving dialysis at VA versus private sector facilities. The cohort comprised 334 patients: 170 patients in the VA dialysis group and 164 patients in the private sector group. The VA dialysis group had more comorbidities at baseline, outpatient and emergency visits, prescriptions, and longer hospital stays; they also had more conservative anemia management and lower baseline urea reduction ratio (67% vs. 72%; Pprivate sector dialysis group (Pprivate sector settings is critical in informing health policy options for patients with complex chronic illnesses such as ESRD.

  11. 75 FR 34934 - Safety Zone; Fireworks for the Virginia Lake Festival, Buggs Island Lake, Clarksville, VA

    Science.gov (United States)

    2010-06-21

    ...-AA00 Safety Zone; Fireworks for the Virginia Lake Festival, Buggs Island Lake, Clarksville, VA AGENCY... Fireworks for the Virginia Lake Festival event. This action is intended to restrict vessel traffic movement... Virginia Lake Festival, Buggs Island Lake, Clarksville, VA (a) Regulated Area. The following area is a...

  12. Urban Classification Techniques Using the Fusion of LiDAR and Spectral Data

    Science.gov (United States)

    2012-09-01

    37 D. MASK CREATION .......................................................................................39 viii 1. LiDAR-based Masks...in Quick Terrain Modeler 2. WorldView-2 The image used in this project was collected by WorldView-2 on November 8, 2011 at Zulu time 19:34:42...OBSERVATIONS A. PROCESS OVERVIEW The focus of this thesis was to create a robust technique for fusing LiDAR and spectral imagery for creation of a

  13. Sexual behaviours and associated factors among students at Bahir Dar University: a cross sectional study

    OpenAIRE

    Mulu, Wondemagegn; Yimer, Mulat; Abera, Bayeh

    2014-01-01

    Background Sexual behaviour is the core of sexuality matters in adolescents and youths. Their modest or dynamic behaviour vulnerable them to risky sexual behaviours. In Ethiopia, there is scarcity of multicentered representative data on sexual behaviours in students to have a national picture at higher education. This study therefore conducted to assess sexual behaviours and associated factors at Bahir Dar University, Ethiopia. Methods A cross sectional study was conducted among Bahir Dar Uni...

  14. Synergy of VSWIR and LiDAR for Ecosystem Structure, Biomass, and Canopy Diversity

    Science.gov (United States)

    Cook, Bruce D.; Asner, Gregory P.

    2010-01-01

    This slide presentation reviews the use of Visible ShortWave InfraRed (VSWIR) Imaging Spectrometer and LiDAR to study ecosystem structure, biomass and canopy diversity. It is shown that the biophysical data from LiDAR and biochemical information from hyperspectral remote sensing provides complementary data for: (1) describing spatial patterns of vegetation and biodiversity, (2) characterizing relationships between ecosystem form and function, and (3) detecting natural and human induced change that affects the biogeochemical cycles.

  15. Modeling marbled murrelet (Brachyramphus marmoratus) habitat using LiDAR-derived canopy data

    Science.gov (United States)

    Hagar, Joan C.; Eskelson, Bianca N.I.; Haggerty, Patricia K.; Nelson, S. Kim; Vesely, David G.

    2014-01-01

    LiDAR (Light Detection And Ranging) is an emerging remote-sensing tool that can provide fine-scale data describing vertical complexity of vegetation relevant to species that are responsive to forest structure. We used LiDAR data to estimate occupancy probability for the federally threatened marbled murrelet (Brachyramphus marmoratus) in the Oregon Coast Range of the United States. Our goal was to address the need identified in the Recovery Plan for a more accurate estimate of the availability of nesting habitat by developing occupancy maps based on refined measures of nest-strand structure. We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District, and canopy metrics calculated from discrete return airborne LiDAR data, to fit a logistic regression model predicting the probability of occupancy. Our final model for stand-level occupancy included distance to coast, and 5 LiDAR-derived variables describing canopy structure. With an area under the curve value (AUC) of 0.74, this model had acceptable discrimination and fair agreement (Cohen's κ = 0.24), especially considering that all sites in our sample were regarded by managers as potential habitat. The LiDAR model provided better discrimination between occupied and unoccupied sites than did a model using variables derived from Gradient Nearest Neighbor maps that were previously reported as important predictors of murrelet occupancy (AUC = 0.64, κ = 0.12). We also evaluated LiDAR metrics at 11 known murrelet nest sites. Two LiDAR-derived variables accurately discriminated nest sites from random sites (average AUC = 0.91). LiDAR provided a means of quantifying 3-dimensional canopy structure with variables that are ecologically relevant to murrelet nesting habitat, and have not been as accurately quantified by other mensuration methods.

  16. ASTER GDEM validation using LiDAR data over coastal regions of Greenland

    DEFF Research Database (Denmark)

    Hvidegaard, Sine Munk; Sørensen, Louise Sandberg; Forsberg, René

    2011-01-01

    Elevation data from airborne Light Detection and Ranging (LiDAR) campaigns are used in an attempt to evaluate the accuracy of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) global digital elevation model (GDEM) in Greenland. The LiDAR elevation data set is characterized...... of Greenland and the effect of the number of scenes used to generate the ASTER GDEM as well as relief are associated with the GDEM accuracy....

  17. Getting the most neutrinos out of IsoDAR

    Energy Technology Data Exchange (ETDEWEB)

    Ciuffoli, Emilio; Zhao, Fengyi; Deliyergiyev, Maksym [CAS, Institute of Modern Physics, Lanzhou (China); Mohammed, Hosam; Evslin, Jarah [CAS, Institute of Modern Physics, Lanzhou (China); University of the Chinese Academy of Sciences, Beijing (China)

    2017-12-15

    Several experimental collaborations worldwide intend to test sterile neutrino models by measuring the disappearance of antineutrinos produced via isotope decay at rest (IsoDAR). The most advanced of these proposals have very similar setups, in which a proton beam strikes a target yielding neutrons which are absorbed by a high isotopic purity {sup 7}Li converter, yielding {sup 8}Li whose resulting decay yields the antineutrinos. In this note, we use FLUKA and GEANT4 simulations to investigate three proposed modifications of this standard proposal. In the first, the {sup 7}Li is replaced with {sup 7}Li compounds including a deuterium moderator. In the second, a gap is placed between the target and the converter to reduce the neutron bounce-back. Finally, we consider cooling the converter with liquid nitrogen. We find that these modifications can increase the antineutrino yield by as much as 50%. The first also substantially reduces the quantity of high purity {sup 7}Li which is needed. (orig.)

  18. (Women’s Readings of Parvaz- Dar- Hobab

    Directory of Open Access Journals (Sweden)

    Jamal Mohammadi

    2008-07-01

    Full Text Available This research is an attempt to explain how audiences read and decode the dominant or preferred reading of television soap operas ( here, one of them named : Parvaz Dar Hobab . The main problem of this research is that in what way TV soap operas prefer or make dominant some meanings, ideas and values and how audiences interpret and decode these meanings and ideas and values. From this viewpoint, a soap opera is an articulation constructed of different, and sometimes contrast, elements which are unified around a nodal point. In other words, a television soap opera is an articulatory discourse which is constructed through some technical, social and ideological codes by hegemonic system. In a TV soap opera, as a discourse, some ideas and meanings are preferred over the others. The question is that how social subjects, who have an objective position in the social structure, read and decode these dominant ideas and meanings? In this research, in the first part we have used the semilogical- structuralist method to explain the preferred reading of TV soap operas, and in the second part we used focused group interview to study women readings. To mention one of the conclusions of this research, we can say that this soap opera attempts to hide that social nihilism which is the main factor of addiction. Most of the audiences have an oppositional reading of this problem.

  19. MODEL NON LINIER GARCH (NGARCH UNTUK MENGESTIMASI NILAI VALUE at RISK (VaR PADA IHSG

    Directory of Open Access Journals (Sweden)

    I KOMANG TRY BAYU MAHENDRA

    2015-06-01

    Full Text Available In investment, risk measurement is important. One of risk measure is Value at Risk (VaR. There are many methods that can be used to estimate risk based on VaR framework. One of them Non Linier GARCH (NGARCH model. In this research, determination of VaR used NGARCH model. NGARCH model allowed for asymetric behaviour in the volatility such that “good news” or positive return and “bad news” or negative return. Based on calculations of VaR, the higher of the confidence level and the longer the investment period, the risk was greater. Determination of VaR using NGARCH model was less than GARCH model.

  20. Empirical analysis on future-cash arbitrage risk with portfolio VaR

    Science.gov (United States)

    Chen, Rongda; Li, Cong; Wang, Weijin; Wang, Ze

    2014-03-01

    This paper constructs the positive arbitrage position by alternating the spot index with Chinese Exchange Traded Fund (ETF) portfolio and estimating the arbitrage-free interval of futures with the latest trade data. Then, an improved Delta-normal method was used, which replaces the simple linear correlation coefficient with tail dependence correlation coefficient, to measure VaR (Value-at-risk) of the arbitrage position. Analysis of VaR implies that the risk of future-cash arbitrage is less than that of investing completely in either futures or spot market. Then according to the compositional VaR and the marginal VaR, we should increase the futures position and decrease the spot position appropriately to minimize the VaR, which can minimize risk subject to certain revenues.

  1. Advances in animal ecology from 3D ecosystem mapping with LiDAR

    Science.gov (United States)

    Davies, A.; Asner, G. P.

    2015-12-01

    The advent and recent advances of Light Detection and Ranging (LiDAR) have enabled accurate measurement of 3D ecosystem structure. Although the use of LiDAR data is widespread in vegetation science, it has only recently (3D ecosystem structure for animals. We reviewed the studies to date that have used LiDAR in animal ecology, synthesising the insights gained. Structural heterogeneity is most conducive to increased animal richness and abundance, and increased complexity of vertical vegetation structure is more positively influential than traditionally measured canopy cover, which produces mixed results. However, different taxonomic groups interact with a variety of 3D canopy traits and some groups with 3D topography. LiDAR technology can be applied to animal ecology studies in a wide variety of environments to answer an impressive array of questions. Drawing on case studies from vastly different groups, termites and lions, we further demonstrate the applicability of LiDAR and highlight new understanding, ranging from habitat preference to predator-prey interactions, that would not have been possible from studies restricted to field based methods. We conclude with discussion of how future studies will benefit by using LiDAR to consider 3D habitat effects in a wider variety of ecosystems and with more taxa to develop a better understanding of animal dynamics.

  2. The application of LiDAR to investigate foredune morphology and vegetation

    Science.gov (United States)

    Doyle, Thomas B.; Woodroffe, Colin D.

    2018-02-01

    LiDAR (Light Detection and Ranging) has been used to investigate coastal landform morphology, evolution, and change for almost a decade. Repeated airborne LiDAR surveys can provide the scientific community with significant observations of how shorelines have evolved, which may then enable forecasts of future patterns of change. However, there have been few studies that have considered the application of this new technology to the specific study of foredune morphology and vegetation. The accuracy and appropriateness of airborne LiDAR needs to be assessed, particularly where the density of vegetation may obscure the underlying topography, prior to interpreting derived geomorphic features. This study: i) tests the vertical accuracy of airborne LiDAR in 37 foredune systems along the coast of south-eastern Australia, and ii) demonstrates that it can be used to describe foredune morphology and vegetation in considerable detail. There was a strong correlation between the remotely-sensed LiDAR-derived elevation and field topographic and vegetation surveys (R2 = 0.96). A protocol for obtaining foredune geomorphic and botanical parameters is described. It enables widespread biogeomorphic characterisation along coasts for which LiDAR data is available, which can benefit both coastal managers and researchers alike.

  3. An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

    Directory of Open Access Journals (Sweden)

    Wuming Zhang

    2016-06-01

    Full Text Available Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs from airborne LiDAR (light detection and ranging data. However, most filtering algorithms need to carefully set up a number of complicated parameters to achieve high accuracy. In this paper, we present a new filtering method which only needs a few easy-to-set integer and Boolean parameters. Within the proposed approach, a LiDAR point cloud is inverted, and then a rigid cloth is used to cover the inverted surface. By analyzing the interactions between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be determined to generate an approximation of the ground surface. Finally, the ground points can be extracted from the LiDAR point cloud by comparing the original LiDAR points and the generated surface. Benchmark datasets provided by ISPRS (International Society for Photogrammetry and Remote Sensing working Group III/3 are used to validate the proposed filtering method, and the experimental results yield an average total error of 4.58%, which is comparable with most of the state-of-the-art filtering algorithms. The proposed easy-to-use filtering method may help the users without much experience to use LiDAR data and related technology in their own applications more easily.

  4. Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria

    Science.gov (United States)

    Peterson, Rachel; Gundlapalli, Adi V.; Metraux, Stephen; Carter, Marjorie E.; Palmer, Miland; Redd, Andrew; Samore, Matthew H.; Fargo, Jamison D.

    2015-01-01

    Researchers at the U.S. Department of Veterans Affairs (VA) have used administrative criteria to identify homelessness among U.S. Veterans. Our objective was to explore the use of these codes in VA health care facilities. We examined VA health records (2002-2012) of Veterans recently separated from the military and identified as homeless using VA conventional identification criteria (ICD-9-CM code V60.0, VA specific codes for homeless services), plus closely allied V60 codes indicating housing instability. Logistic regression analyses examined differences between Veterans who received these codes. Health care services and co-morbidities were analyzed in the 90 days post-identification of homelessness. VA conventional criteria identified 21,021 homeless Veterans from Operations Enduring Freedom, Iraqi Freedom, and New Dawn (rate 2.5%). Adding allied V60 codes increased that to 31,260 (rate 3.3%). While certain demographic differences were noted, Veterans identified as homeless using conventional or allied codes were similar with regards to utilization of homeless, mental health, and substance abuse services, as well as co-morbidities. Differences were noted in the pattern of usage of homelessness-related diagnostic codes in VA facilities nation-wide. Creating an official VA case definition for homelessness, which would include additional ICD-9-CM and other administrative codes for VA homeless services, would likely allow improved identification of homeless and at-risk Veterans. This also presents an opportunity for encouraging uniformity in applying these codes in VA facilities nationwide as well as in other large health care organizations. PMID:26172386

  5. Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria.

    Directory of Open Access Journals (Sweden)

    Rachel Peterson

    Full Text Available Researchers at the U.S. Department of Veterans Affairs (VA have used administrative criteria to identify homelessness among U.S. Veterans. Our objective was to explore the use of these codes in VA health care facilities. We examined VA health records (2002-2012 of Veterans recently separated from the military and identified as homeless using VA conventional identification criteria (ICD-9-CM code V60.0, VA specific codes for homeless services, plus closely allied V60 codes indicating housing instability. Logistic regression analyses examined differences between Veterans who received these codes. Health care services and co-morbidities were analyzed in the 90 days post-identification of homelessness. VA conventional criteria identified 21,021 homeless Veterans from Operations Enduring Freedom, Iraqi Freedom, and New Dawn (rate 2.5%. Adding allied V60 codes increased that to 31,260 (rate 3.3%. While certain demographic differences were noted, Veterans identified as homeless using conventional or allied codes were similar with regards to utilization of homeless, mental health, and substance abuse services, as well as co-morbidities. Differences were noted in the pattern of usage of homelessness-related diagnostic codes in VA facilities nation-wide. Creating an official VA case definition for homelessness, which would include additional ICD-9-CM and other administrative codes for VA homeless services, would likely allow improved identification of homeless and at-risk Veterans. This also presents an opportunity for encouraging uniformity in applying these codes in VA facilities nationwide as well as in other large health care organizations.

  6. Continuation of Iranshahri Thoughts in Kalileh va Demne

    Directory of Open Access Journals (Sweden)

    Bijan Zahirinav

    2010-10-01

    Full Text Available In this essay, Iranshahri’s thoughts such as ideal king, divine charisma, togetherness of religion and kingdom, justice, truth etc in kalileh va Demneh are investigated. In Kalileh and Demneh, kingdom is a divine gift and the king is at the center of the state affairs. Therefore, affection and kindness must be imprinted on his forehead, otherwise he would be a devilish creature who disturbs governing orders of the universe. He must metaphysically be supported in the circus of governmental affairs, and this is possible only by divine charisma. Such a king must be decorated with justice ornament, so that every body does his best in his own special class and approaches the salvation of soul. The king must also be decorated with accomplishments such as battle assistance and with virtues such as religion assistance. He must strengthen the social connection by “truth”. Basically, without truth life has no harmony because falsehood diverts life form its regular direction. But finally, with the dominance of divine forces over devilish ones, utopia, which is a secure place for releasing from disorder and injustice is proven to be true. Therefore, we conclude that Kalileh and Demneh has a contribution to the continuation of Iranshahri’s thoughts and also to the historical and cultural continuation of Iran in transition to the Islamic period.

  7. Methods for estimating and comparing VA outpatient drug benefits with the private sector.

    Science.gov (United States)

    Render, Marta L; Nowak, John; Hammond, Emmett K; Roselle, Gary

    2003-06-01

    To estimate and compare Veterans Health Administration (VA) expenditures for outpatient pharmaceuticals for veterans at six VA facilities with hypothetical private sector costs. Using the VA Pharmacy Benefits Management Strategic Health Care Group (PBM) database, we extracted data for all dispensed outpatient prescriptions from the six study sites over federal fiscal year 1999. After extensive data validation, we converted prescriptions to the same units and merged relevant VA pricing information by National Drug Code to Redbook listed average wholesale price and the Medicaid maximal allowable charge, where available. We added total VA drug expenditures to personnel cost from the pharmacy portion of that medical center's cost distribution report. Hypothetical private sector payments were $200.8 million compared with an aggregate VA budget of $118.8 million. Using National Drug Code numbers, 97% of all items dispensed from the six facilities were matched to private sector price data. Nonmatched pharmaceuticals were largely generic over-the-counter pain relievers and commodities like alcohol swabs. The most commonly prescribed medications reflect the diseases and complaints of an older male population: pain, cardiovascular problems, diabetes, and depression or other psychiatric disorders. Use of the VA PBM database permits researchers to merge expenditure and prescription data to patient diagnoses and sentinel events. A critical element in its use is creating similar units among the systems. Such data sets permit a deeper view of the variability in drug expenditures, an important sector of health care whose inflation has been disproportionate to that of the economy and even health care.

  8. Flexural Stiffness of Myosin Va Subdomains as Measured from Tethered Particle Motion

    Science.gov (United States)

    Michalek, Arthur J.; Kennedy, Guy G.; Warshaw, David M.; Ali, M. Yusuf

    2015-01-01

    Myosin Va (MyoVa) is a processive molecular motor involved in intracellular cargo transport on the actin cytoskeleton. The motor's processivity and ability to navigate actin intersections are believed to be governed by the stiffness of various parts of the motor's structure. Specifically, changes in calcium may regulate motor processivity by altering the motor's lever arm stiffness and thus its interhead communication. In order to measure the flexural stiffness of MyoVa subdomains, we use tethered particle microscopy, which relates the Brownian motion of fluorescent quantum dots, which are attached to various single- and double-headed MyoVa constructs bound to actin in rigor, to the motor's flexural stiffness. Based on these measurements, the MyoVa lever arm and coiled-coil rod domain have comparable flexural stiffness (0.034 pN/nm). Upon addition of calcium, the lever arm stiffness is reduced 40% as a result of calmodulins potentially dissociating from the lever arm. In addition, the flexural stiffness of the full-length MyoVa construct is an order of magnitude less stiff than both a single lever arm and the coiled-coil rod. This suggests that the MyoVa lever arm-rod junction provides a flexible hinge that would allow the motor to maneuver cargo through the complex intracellular actin network. PMID:26770194

  9. NASA Fluid Lensing & MiDAR: Next-Generation Remote Sensing Technologies for Aquatic Remote Sensing

    Science.gov (United States)

    Chirayath, Ved

    2018-01-01

    We present two recent instrument technology developments at NASA, Fluid Lensing and MiDAR, and their application to remote sensing of Earth's aquatic systems. Fluid Lensing is the first remote sensing technology capable of imaging through ocean waves in 3D at sub-cm resolutions. MiDAR is a next-generation active hyperspectral remote sensing and optical communications instrument capable of active fluid lensing. Fluid Lensing has been used to provide 3D multispectral imagery of shallow marine systems from unmanned aerial vehicles (UAVs, or drones), including coral reefs in American Samoa and stromatolite reefs in Hamelin Pool, Western Australia. MiDAR is being deployed on aircraft and underwater remotely operated vehicles (ROVs) to enable a new method for remote sensing of living and nonliving structures in extreme environments. MiDAR images targets with high-intensity narrowband structured optical radiation to measure an objectâ€"TM"s non-linear spectral reflectance, image through fluid interfaces such as ocean waves with active fluid lensing, and simultaneously transmit high-bandwidth data. As an active instrument, MiDAR is capable of remotely sensing reflectance at the centimeter (cm) spatial scale with a signal-to-noise ratio (SNR) multiple orders of magnitude higher than passive airborne and spaceborne remote sensing systems with significantly reduced integration time. This allows for rapid video-frame-rate hyperspectral sensing into the far ultraviolet and VNIR wavelengths. Previously, MiDAR was developed into a TRL 2 laboratory instrument capable of imaging in thirty-two narrowband channels across the VNIR spectrum (400-950nm). Recently, MiDAR UV was raised to TRL4 and expanded to include five ultraviolet bands from 280-400nm, permitting UV remote sensing capabilities in UV A, B, and C bands and enabling mineral identification and stimulated fluorescence measurements of organic proteins and compounds, such as green fluorescent proteins in terrestrial and

  10. Independent evaluation of the SNODAS snow depth product using regional scale LiDAR-derived measurements

    Science.gov (United States)

    Hedrick, A.; Marshall, H.-P.; Winstral, A.; Elder, K.; Yueh, S.; Cline, D.

    2014-06-01

    Repeated Light Detection and Ranging (LiDAR) surveys are quickly becoming the de facto method for measuring spatial variability of montane snowpacks at high resolution. This study examines the potential of a 750 km2 LiDAR-derived dataset of snow depths, collected during the 2007 northern Colorado Cold Lands Processes Experiment (CLPX-2), as a validation source for an operational hydrologic snow model. The SNOw Data Assimilation System (SNODAS) model framework, operated by the US National Weather Service, combines a physically-based energy-and-mass-balance snow model with satellite, airborne and automated ground-based observations to provide daily estimates of snowpack properties at nominally 1 km resolution over the coterminous United States. Independent validation data is scarce due to the assimilating nature of SNODAS, compelling the need for an independent validation dataset with substantial geographic coverage. Within twelve distinctive 500 m × 500 m study areas located throughout the survey swath, ground crews performed approximately 600 manual snow depth measurements during each of the CLPX-2 LiDAR acquisitions. This supplied a dataset for constraining the uncertainty of upscaled LiDAR estimates of snow depth at the 1 km SNODAS resolution, resulting in a root-mean-square difference of 13 cm. Upscaled LiDAR snow depths were then compared to the SNODAS-estimates over the entire study area for the dates of the LiDAR flights. The remotely-sensed snow depths provided a more spatially continuous comparison dataset and agreed more closely to the model estimates than that of the in situ measurements alone. Finally, the results revealed three distinct areas where the differences between LiDAR observations and SNODAS estimates were most drastic, suggesting natural processes specific to these regions as causal influences on model uncertainty.

  11. Parallel Landscape Driven Data Reduction & Spatial Interpolation Algorithm for Big LiDAR Data

    Directory of Open Access Journals (Sweden)

    Rahil Sharma

    2016-06-01

    Full Text Available Airborne Light Detection and Ranging (LiDAR topographic data provide highly accurate digital terrain information, which is used widely in applications like creating flood insurance rate maps, forest and tree studies, coastal change mapping, soil and landscape classification, 3D urban modeling, river bank management, agricultural crop studies, etc. In this paper, we focus mainly on the use of LiDAR data in terrain modeling/Digital Elevation Model (DEM generation. Technological advancements in building LiDAR sensors have enabled highly accurate and highly dense LiDAR point clouds, which have made possible high resolution modeling of terrain surfaces. However, high density data result in massive data volumes, which pose computing issues. Computational time required for dissemination, processing and storage of these data is directly proportional to the volume of the data. We describe a novel technique based on the slope map of the terrain, which addresses the challenging problem in the area of spatial data analysis, of reducing this dense LiDAR data without sacrificing its accuracy. To the best of our knowledge, this is the first ever landscape-driven data reduction algorithm. We also perform an empirical study, which shows that there is no significant loss in accuracy for the DEM generated from a 52% reduced LiDAR dataset generated by our algorithm, compared to the DEM generated from an original, complete LiDAR dataset. For the accuracy of our statistical analysis, we perform Root Mean Square Error (RMSE comparing all of the grid points of the original DEM to the DEM generated by reduced data, instead of comparing a few random control points. Besides, our multi-core data reduction algorithm is highly scalable. We also describe a modified parallel Inverse Distance Weighted (IDW spatial interpolation method and show that the DEMs it generates are time-efficient and have better accuracy than the one’s generated by the traditional IDW method.

  12. Effects of inspired CO2, hyperventilation, and time on VA/Q inequality in the dog

    Science.gov (United States)

    Tsukimoto, K.; Arcos, J. P.; Schaffartzik, W.; Wagner, P. D.; West, J. B.

    1992-01-01

    In a recent study by Tsukimoto et al. (J. Appl. Physiol. 68: 2488-2493, 1990), CO2 inhalation appeared to reduce the size of the high ventilation-perfusion ratio (VA/Q) mode commonly observed in anesthetized mechanically air-ventilated dogs. In that study, large tidal volumes (VT) were used during CO2 inhalation to preserve normocapnia. To separate the influences of CO2 and high VT on the VA/Q distribution in the present study, we examined the effect of inspired CO2 on the high VA/Q mode using eight mechanically ventilated dogs (4 given CO2, 4 controls). The VA/Q distribution was measured first with normal VT and then with increased VT. In the CO2 group at high VT, data were collected before, during, and after CO2 inhalation. With normal VT, there was no difference in the size of the high VA/Q mode between groups [10.5 +/- 3.5% (SE) of ventilation in the CO2 group, 11.8 +/- 5.2% in the control group]. Unexpectedly, the size of the high VA/Q mode decreased similarly in both groups over time, independently of the inspired PCO2, at a rate similar to the fall in cardiac output over time. The reduction in the high VA/Q mode together with a simultaneous increase in alveolar dead space (estimated by the difference between inert gas dead space and Fowler dead space) suggests that poorly perfused high VA/Q areas became unperfused over time. A possible mechanism is that elevated alveolar pressure and decreased cardiac output eliminate blood flow from corner vessels in nondependent high VA/Q regions.

  13. Optimizing variable radius plot size and LiDAR resolution to model standing volume in conifer forests

    Science.gov (United States)

    Ram Kumar Deo; Robert E. Froese; Michael J. Falkowski; Andrew T. Hudak

    2016-01-01

    The conventional approach to LiDAR-based forest inventory modeling depends on field sample data from fixed-radius plots (FRP). Because FRP sampling is cost intensive, combining variable-radius plot (VRP) sampling and LiDAR data has the potential to improve inventory efficiency. The overarching goal of this study was to evaluate the integration of LiDAR and VRP data....

  14. Geotechnical applications of LiDAR pertaining to geomechanical evaluation and hazard identification

    Science.gov (United States)

    Lato, Matthew J.

    Natural hazards related to ground movement that directly affect the safety of motorists and highway infrastructure include, but are not limited to, rockfalls, rockslides, debris flows, and landslides. This thesis specifically deals with the evaluation of rockfall hazards through the evaluation of LiDAR data. Light Detection And Ranging (LiDAR) is an imaging technology that can be used to delineate and evaluate geomechanically-controlled hazards. LiDAR has been adopted to conduct hazard evaluations pertaining to rockfall, rock-avalanches, debris flows, and landslides. Characteristics of LiDAR surveying, such as rapid data acquisition rates, mobile data collection, and high data densities, pose problems to traditional CAD or GIS-based mapping methods. New analyses methods, including tools specifically oriented to geomechanical analyses, are needed. The research completed in this thesis supports development of new methods, including improved survey techniques, innovative software workflows, and processing algorithms to aid in the detection and evaluation of geomechanically controlled rockfall hazards. The scientific research conducted between the years of 2006-2010, as presented in this thesis, are divided into five chapters, each of which has been published by or is under review by an international journal. The five research foci are: (i) geomechanical feature extraction and analysis using LiDAR data in active mining environments; (ii) engineered monitoring of rockfall hazards along transportation corridors: using mobile terrestrial LiDAR; (iii) optimization of LiDAR scanning and processing for automated structural evaluation of discontinuities in rockmasses; (iv) location orientation bias when using static LiDAR data for geomechanical analysis; and (v) evaluating roadside rockmasses for rockfall hazards from LiDAR data: optimizing data collection and processing protocols. The research conducted pertaining to this thesis has direct and significant implications with

  15. Analysis of VaR on Stock Investing%股票投资的风险价值VaR分析

    Institute of Scientific and Technical Information of China (English)

    张江红; 唐泉

    2011-01-01

    VaR is a tool to measure financial risk,which is supported and recognized by the international financial community in recent years.For equity portfolios consisting of different market factors or different financial instruments,VaR can reliably evaluate the market risks.In the paper the basic principle and calculation of VaR is introduced,the company stock value at risk has been analyzed using normal method,which company has issued convertible bond and stock.Meanwhile the affect that the issuance of convertible bond to the underlying stock fluctuation has been taken into account in order to provide reference for the different types of investors.%VaR是近年来受到国际金融界广泛支持和认可的一种度量金融风险的工具.对于不同市场因子和不同金融工具的投资组合,VaR可以相对可靠地衡量其市场风险.本文介绍了VaR的基本原理和计算方法,并用正态分布对发行有可转债的上市公司股票的风险价值进行分析,考虑了可转债的发行对标的股票波动的影响,以期为资本市场不同类型的投资者在进行资本投资前估计风险提供参考.

  16. Development of LiDAR measurements for the German offshore test site

    International Nuclear Information System (INIS)

    Rettenmeier, A; Kuehn, M; Waechter, M; Rahm, S; Mellinghoff, H; Siegmeier, B; Reeder, L

    2008-01-01

    The paper introduces the content of the recently started joint research project 'Development of LiDAR measurements for the German Offshore Test Site' which has the objective to support other research projects at the German offshore test site 'alpha ventus'. The project has started before the erection of the offshore wind farm and one aim is to give recommendations concerning LiDAR technology useable for offshore measurement campaigns and data analysis. The work is organized in four work packages. The work package LiDAR technology deals with the specification, acquisition and calibration of a commercial LiDAR system for the measurement campaigns. Power curve measurements are dedicated to power curve assessment with ground-based LiDAR using standard statistical methods. Additionally, it deals with the development of new methods for the measurement of non-steady short-term power curves. Wind field research aims at the development of wake loading simulation methods of wind turbines and the exploration of loading control strategies and nacelle-based wind field measurement techniques. Finally, dissemination of results to the industry takes place in work package Technology transfer

  17. In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR

    Directory of Open Access Journals (Sweden)

    Shangpeng Sun

    2017-04-01

    Full Text Available A LiDAR-based high-throughput phenotyping (HTP system was developed for cotton plant phenotyping in the field. The HTP system consists of a 2D LiDAR and an RTK-GPS mounted on a high clearance tractor. The LiDAR scanned three rows of cotton plots simultaneously from the top and the RTK-GPS was used to provide the spatial coordinates of the point cloud during data collection. Configuration parameters of the system were optimized to ensure the best data quality. A height profile for each plot was extracted from the dense three dimensional point clouds; then the maximum height and height distribution of each plot were derived. In lab tests, single plants were scanned by LiDAR using 0.5° angular resolution and results showed an R2 value of 1.00 (RMSE = 3.46 mm in comparison to manual measurements. In field tests using the same angular resolution; the LiDAR-based HTP system achieved average R2 values of 0.98 (RMSE = 65 mm for cotton plot height estimation; compared to manual measurements. This HTP system is particularly useful for large field application because it provides highly accurate measurements; and the efficiency is greatly improved compared to similar studies using the side view scan.

  18. Development and mapping of DArT markers within the Festuca - Lolium complex

    Science.gov (United States)

    Kopecký, David; Bartoš, Jan; Lukaszewski, Adam J; Baird, James H; Černoch, Vladimír; Kölliker, Roland; Rognli, Odd Arne; Blois, Helene; Caig, Vanessa; Lübberstedt, Thomas; Studer, Bruno; Shaw, Paul; Doležel, Jaroslav; Kilian, Andrzej

    2009-01-01

    Background Grasses are among the most important and widely cultivated plants on Earth. They provide high quality fodder for livestock, are used for turf and amenity purposes, and play a fundamental role in environment protection. Among cultivated grasses, species within the Festuca-Lolium complex predominate, especially in temperate regions. To facilitate high-throughput genome profiling and genetic mapping within the complex, we have developed a Diversity Arrays Technology (DArT) array for five grass species: F. pratensis, F. arundinacea, F. glaucescens, L. perenne and L. multiflorum. Results The DArTFest array contains 7680 probes derived from methyl-filtered genomic representations. In a first marker discovery experiment performed on 40 genotypes from each species (with the exception of F. glaucescens for which only 7 genotypes were used), we identified 3884 polymorphic markers. The number of DArT markers identified in every single genotype varied from 821 to 1852. To test the usefulness of DArTFest array for physical mapping, DArT markers were assigned to each of the seven chromosomes of F. pratensis using single chromosome substitution lines while recombinants of F. pratensis chromosome 3 were used to allocate the markers to seven chromosome bins. Conclusion The resources developed in this project will facilitate the development of genetic maps in Festuca and Lolium, the analysis on genetic diversity, and the monitoring of the genomic constitution of the Festuca × Lolium hybrids. They will also enable marker-assisted selection for multiple traits or for specific genome regions. PMID:19832973

  19. Specular and diffuse object extraction from a LiDAR derived Digital Surface Model (DSM)

    International Nuclear Information System (INIS)

    Saraf, N M; Hamid, J R A; Kamaruddin, M H

    2014-01-01

    This paper intents to investigate the indifferent behaviour quantitatively of target objects of interest due to specular and diffuse reflectivity based on generated LiDAR DSM of the study site in Ampang, Kuala Lumpur. The LiDAR data to be used was initially checked for its reliability and accuracy. The point cloud LiDAR data was converted to raster to allow grid analysis of the next process of generating the DSM and DTM. Filtering and masking were made removing the features of interest (i.e. building and tree) and other unwanted above surface features. A normalised DSM and object segmentation approach were conducted on the trees and buildings separately. Error assessment and findings attained were highlighted and documented. The result of LiDAR verification certified that the data is reliable and useable. The RMSE obtained is within the tolerance value of horizontal and vertical accuracy (x, y, z) i.e. 0.159 m, 0.211 m 0.091 m respectively. Building extraction inclusive of roof top based on slope and contour analysis undertaken indicate the capability of the approach while single tree extraction through aspect analysis appears to preserve the accuracy of the extraction accordingly. The paper has evaluated the suitable methods of extracting non-ground features and the effective segmentation of the LiDAR data

  20. The Extraction of Vegetation Points from LiDAR Using 3D Fractal Dimension Analyses

    Directory of Open Access Journals (Sweden)

    Haiquan Yang

    2015-08-01

    Full Text Available Light Detection and Ranging (LiDAR, a high-precision technique used for acquiring three-dimensional (3D surface information, is widely used to study surface vegetation information. Moreover, the extraction of a vegetation point set from the LiDAR point cloud is a basic starting-point for vegetation information analysis, and an important part of its further processing. To extract the vegetation point set completely and to describe the different spatial morphological characteristics of various features in a LiDAR point cloud, we have used 3D fractal dimensions. We discovered that every feature has its own distinctive 3D fractal dimension interval. Based on the 3D fractal dimensions of tall trees, we propose a new method for the extraction of vegetation using airborne LiDAR. According to this method, target features can be distinguished based on their morphological characteristics. The non-ground points acquired by filtering are processed by region growing segmentation and the morphological characteristics are evaluated by 3D fractal dimensions to determine the features required for the determination of the point set for tall trees. Avon, New York, USA was selected as the study area to test the method and the result proves the method’s efficiency. Thus, this approach is feasible. Additionally, the method uses the 3D coordinate properties of the LiDAR point cloud and does not require additional information, such as return intensity, giving it a larger scope of application.

  1. Localized Segment Based Processing for Automatic Building Extraction from LiDAR Data

    Science.gov (United States)

    Parida, G.; Rajan, K. S.

    2017-05-01

    The current methods of object segmentation and extraction and classification of aerial LiDAR data is manual and tedious task. This work proposes a technique for object segmentation out of LiDAR data. A bottom-up geometric rule based approach was used initially to devise a way to segment buildings out of the LiDAR datasets. For curved wall surfaces, comparison of localized surface normals was done to segment buildings. The algorithm has been applied to both synthetic datasets as well as real world dataset of Vaihingen, Germany. Preliminary results show successful segmentation of the buildings objects from a given scene in case of synthetic datasets and promissory results in case of real world data. The advantages of the proposed work is non-dependence on any other form of data required except LiDAR. It is an unsupervised method of building segmentation, thus requires no model training as seen in supervised techniques. It focuses on extracting the walls of the buildings to construct the footprint, rather than focussing on roof. The focus on extracting the wall to reconstruct the buildings from a LiDAR scene is crux of the method proposed. The current segmentation approach can be used to get 2D footprints of the buildings, with further scope to generate 3D models. Thus, the proposed method can be used as a tool to get footprints of buildings in urban landscapes, helping in urban planning and the smart cities endeavour.

  2. LOCALIZED SEGMENT BASED PROCESSING FOR AUTOMATIC BUILDING EXTRACTION FROM LiDAR DATA

    Directory of Open Access Journals (Sweden)

    G. Parida

    2017-05-01

    Full Text Available The current methods of object segmentation and extraction and classification of aerial LiDAR data is manual and tedious task. This work proposes a technique for object segmentation out of LiDAR data. A bottom-up geometric rule based approach was used initially to devise a way to segment buildings out of the LiDAR datasets. For curved wall surfaces, comparison of localized surface normals was done to segment buildings. The algorithm has been applied to both synthetic datasets as well as real world dataset of Vaihingen, Germany. Preliminary results show successful segmentation of the buildings objects from a given scene in case of synthetic datasets and promissory results in case of real world data. The advantages of the proposed work is non-dependence on any other form of data required except LiDAR. It is an unsupervised method of building segmentation, thus requires no model training as seen in supervised techniques. It focuses on extracting the walls of the buildings to construct the footprint, rather than focussing on roof. The focus on extracting the wall to reconstruct the buildings from a LiDAR scene is crux of the method proposed. The current segmentation approach can be used to get 2D footprints of the buildings, with further scope to generate 3D models. Thus, the proposed method can be used as a tool to get footprints of buildings in urban landscapes, helping in urban planning and the smart cities endeavour.

  3. Performance Assessment of High Resolution Airborne Full Waveform LiDAR for Shallow River Bathymetry

    Directory of Open Access Journals (Sweden)

    Zhigang Pan

    2015-04-01

    Full Text Available We evaluate the performance of full waveform LiDAR decomposition algorithms with a high-resolution single band airborne LiDAR bathymetry system in shallow rivers. A continuous wavelet transformation (CWT is proposed and applied in two fluvial environments, and the results are compared to existing echo retrieval methods. LiDAR water depths are also compared to independent field measurements. In both clear and turbid water, the CWT algorithm outperforms the other methods if only green LiDAR observations are available. However, both the definition of the water surface, and the turbidity of the water significantly influence the performance of the LiDAR bathymetry observations. The results suggest that there is no single best full waveform processing algorithm for all bathymetric situations. Overall, the optimal processing strategies resulted in a determination of water depths with a 6 cm mean at 14 cm standard deviation for clear water, and a 16 cm mean and 27 cm standard deviation in more turbid water.

  4. Using LiDAR to as a Potential Method for Detection Plastics in Water

    Science.gov (United States)

    Lee, G.; Neal, A.; Mielke, R.; Bookhagen, B.

    2010-12-01

    We conducted a series of experiments using Light Detection and Range (LiDAR) technology as an innovative way to detect the presence of plastics in water. The purpose of this study was to determine if LiDAR technology is a feasible, non-intrusive alternative to dredging in the ocean to determine the amount of plastics in the ocean. We used a tripod mounted RIEGL LMS-Z420i terrestrial LiDAR 3-D scanner and the associated operating software RiSCAN Pro. The terrestrial LiDAR is an optical remote sensing technology that measures the reflection of near infared light to find the range of a distant target that is most commonly used to create high precision digital elevation models of terrestrial surfaces. In theory, water should absorb the near infared light, while the plastics should reflect the light. The experiments consisted of different scale models of plastic pellets in water, ranging from a small plastic dish to a large tank to test the range of the LiDAR in different salt and fresh water mediums.

  5. Validation of KENO V.a for the Portsmouth Gaseous Diffusion Plant

    International Nuclear Information System (INIS)

    Felsher, H.D.; Fentiman, A.W.; Tayloe, R.W.; D'Aquila, D.

    1992-01-01

    At the Portsmouth Gaseous Diffusion Plant, KENO V.a is used to make criticality calculations for complex configurations and a wide range of 235 U enrichments. It is essential that the calculated critical conditions either accurately reflect the true critical state or that the bias from the true critical conditions are well known. Accordingly, a study has been initiated to validate KENO V.a over the ranges of parameters expected to be used when modeling equipment and processes at Portsmouth. Preliminary results of that study are reported in this paper. The ultimate goal of this study is to identify a set of data from existing critical experiments that will exercise all KENO V.a parameters commonly used by Portsmouth's criticality safety personnel. A second goal is to identify a relatively small subset of those experiments that may be run frequently to ensure that KENO V.a provides consistent results

  6. ESTIMATING RISK ON THE CAPITAL MARKET WITH VaR METHOD

    Directory of Open Access Journals (Sweden)

    Sinisa Bogdan

    2015-06-01

    Full Text Available The two basic questions that every investor tries to answer before investment are questions about predicting return and risk. Risk and return are generally considered two positively correlated sizes, during the growth of risk it is expected increase of return to compensate the higher risk. The quantification of risk in the capital market represents the current topic since occurrence of securities. Together with estimated future returns it represents starting point of any investment. In this study it is described the history of the emergence of VaR methods, usefulness in assessing the risks of financial assets. Three main Value at Risk (VaR methodologies are decribed and explained in detail: historical method, parametric method and Monte Carlo method. After the theoretical review of VaR methods it is estimated risk of liquid stocks and portfolio from the Croatian capital market with historical and parametric VaR method, after which the results were compared and explained.

  7. Comparison of historically simulated VaR: Evidence from oil prices

    International Nuclear Information System (INIS)

    Costello, Alexandra; Asem, Ebenezer; Gardner, Eldon

    2008-01-01

    Cabedo and Moya [Cabedo, J.D., Moya, I., 2003. Estimating oil price 'Value at Risk' using the historical simulation approach. Energy Economics 25, 239-253] find that ARMA with historical simulation delivers VaR forecasts that are superior to those from GARCH. We compare the ARMA with historical simulation to the semi-parametric GARCH model proposed by Barone-Adesi et al. [Barone-Adesi, G., Giannopoulos, K., Vosper, L., 1999. VaR without correlations for portfolios of derivative securities. Journal of Futures Markets 19 (5), 583-602]. The results suggest that the semi-parametric GARCH model generates VaR forecasts that are superior to the VaR forecasts from the ARMA with historical simulation. This is due to the fact that GARCH captures volatility clustering. Our findings suggest that Cabedo and Moya's conclusion is mainly driven by the normal distributional assumption imposed on the future risk structure in the GARCH model. (author)

  8. 77 FR 12647 - Fund Availability Under VA's Homeless Providers Grant and Per Diem Program

    Science.gov (United States)

    2012-03-01

    ... women veterans with or without the care of dependent children. 2. Funding Priority 2--VA is offering the... homeless veterans (i.e., veterans who are not incarcerated but are involved in the criminal justice system...

  9. Electronic Health Records: DOD's and VA's Sharing of Information Could Benefit from Improved Management

    National Research Council Canada - National Science Library

    2009-01-01

    ...) and the Department of Veterans Affairs (VA) are required to accelerate the exchange of health information between the departments and to develop systems or capabilities that allow for interoperability...

  10. VA Construction: Improved Processes Needed to Monitor Contract Modifications, Develop Schedules, and Estimate Costs

    Science.gov (United States)

    2017-03-01

    the Handbook.36 VA headquarters officials told us that regional CFM offices monitor change- order - processing time frames for projects in their...visited collected different types of data on change orders. Because VA lacks the data on the change order processing timeframes required by the Handbook...goals of processing change orders in a timelier manner, especially given our previous findings that change- order - processing time frames caused

  11. Feasibility and acceptability of interventions to delay gun access in VA mental health settings.

    Science.gov (United States)

    Walters, Heather; Kulkarni, Madhur; Forman, Jane; Roeder, Kathryn; Travis, Jamie; Valenstein, Marcia

    2012-01-01

    The majority of VA patient suicides are completed with firearms. Interventions that delay patients' gun access during high-risk periods may reduce suicide, but may not be acceptable to VA stakeholders or may be challenging to implement. Using qualitative methods, stakeholders' perceptions about gun safety and interventions to delay gun access during high-risk periods were explored. Ten focus groups and four individual interviews were conducted with key stakeholders, including VA mental health patients, mental health clinicians, family members and VA facility leaders (N=60). Transcripts were consensus-coded by two independent coders, and structured summaries were developed and reviewed using a consensus process. All stakeholder groups indicated that VA health system providers had a role in increasing patient safety and emphasized the need for providers to address gun access with their at-risk patients. However, VA mental health patients and clinicians reported limited discussion regarding gun access in VA mental health settings during routine care. Most, although not all, patients and clinicians indicated that routine screening for gun access was acceptable, with several noting that it was more acceptable for mental health patients. Most participants suggested that family and friends be involved in reducing gun access, but expressed concerns about potential family member safety. Participants generally found distribution of trigger locks acceptable, but were skeptical about its effectiveness. Involving Veteran Service Organizations or other individuals in temporarily holding guns during high-risk periods was acceptable to many participants but only with numerous caveats. Patients, clinicians and family members consider the VA health system to have a legitimate role in addressing gun safety. Several measures to delay gun access during high-risk periods for suicide were seen as acceptable and feasible if implemented thoughtfully. Published by Elsevier Inc.

  12. 46 CFR 7.55 - Cape Henry, VA to Cape Fear, NC.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 1 2010-10-01 2010-10-01 false Cape Henry, VA to Cape Fear, NC. 7.55 Section 7.55 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY PROCEDURES APPLICABLE TO THE PUBLIC BOUNDARY LINES Atlantic Coast § 7.55 Cape Henry, VA to Cape Fear, NC. (a) A line drawn from Rudee Inlet Jetty Light “2” to...

  13. 46 CFR 7.45 - Cape Henlopen, DE to Cape Charles, VA.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 1 2010-10-01 2010-10-01 false Cape Henlopen, DE to Cape Charles, VA. 7.45 Section 7.45... Atlantic Coast § 7.45 Cape Henlopen, DE to Cape Charles, VA. (a) A line drawn from the easternmost extremity of Indian River Inlet North Jetty to latitude 38°36.5′ N. longitude 75°02.8′ W. (Indian River...

  14. Employment status, employment functioning, and barriers to employment among VA primary care patients.

    Science.gov (United States)

    Zivin, Kara; Yosef, Matheos; Levine, Debra S; Abraham, Kristen M; Miller, Erin M; Henry, Jennifer; Nelson, C Beau; Pfeiffer, Paul N; Sripada, Rebecca K; Harrod, Molly; Valenstein, Marcia

    2016-03-15

    Prior research found lower employment rates among working-aged patients who use the VA than among non-Veterans or Veterans who do not use the VA, with the lowest reported employment rates among VA patients with mental disorders. This study assessed employment status, employment functioning, and barriers to employment among VA patients treated in primary care settings, and examined how depression and anxiety were associated with these outcomes. The sample included 287 VA patients treated in primary care in a large Midwestern VA Medical Center. Bivariate and multivariable analyses were conducted examining associations between socio-demographic and clinical predictors of six employment domains, including: employment status, job search self-efficacy, work performance, concerns about job loss among employed Veterans, and employment barriers and likelihood of job seeking among not employed Veterans. 54% of respondents were employed, 36% were not employed, and 10% were economically inactive. In adjusted analyses, participants with depression or anxiety (43%) were less likely to be employed, had lower job search self-efficacy, had lower levels of work performance, and reported more employment barriers. Depression and anxiety were not associated with perceived likelihood of job loss among employed or likelihood of job seeking among not employed. Single VA primary care clinic; cross-sectional study. Employment rates are low among working-aged VA primary care patients, particularly those with mental health conditions. Offering primary care interventions to patients that address mental health issues, job search self-efficacy, and work performance may be important in improving health, work, and economic outcomes. Published by Elsevier B.V.

  15. VA Disability Benefits: Additional Planning Would Enhance Efforts to Improve the Timeliness of Appeals Decisions

    Science.gov (United States)

    2017-03-01

    must manually review and correct most incoming cases due to issues with labeling, mismatched dates, and missing files. Via an internal study, VA...individuals acclimate to their jobs —and factored this into the modeling assumptions used to project the number of Board staff needed. More...Needed to Promote Increased User Satisfaction . GAO-15-582 (Washington, D.C.: September 1, 2015). Page 29 GAO-17-234 VA Disability

  16. Determinants of acceptance of cervical cancer screening in Dar es Salaam, Tanzania

    DEFF Research Database (Denmark)

    Kahesa, Crispin; Kjaer, Susanne; Mwaiselage, Julius

    2012-01-01

    to accept screening in comparison with women who had five or more children (ORs 3.21). Finally, knowledge of cervical cancer and awareness of the existing screening program were also associated with increased acceptance rates (ORs of 5.90 and 4.20). CONCLUSION: There are identifiable subgroups where...... cervical cancer screening can be increased in Dar es Salaam. Special attention should be paid to women of low education and women of high parity. In addition, knowledge and awareness raising campaigns that goes hand in hand with culturally acceptable screening services will likely lead to an increased......ABSTRACT: OBJECTIVE: To describe how demographic characteristics and knowledge of cervical cancer influence screening acceptance among women living in Dar es Salaam, Tanzania. METHODS: Multistage cluster sampling was carried out in 45 randomly selected streets in Dar es Salaam. Women between...

  17. PERHITUNGAN VaR PORTOFOLIO SAHAM MENGGUNAKAN DATA HISTORIS DAN DATA SIMULASI MONTE CARLO

    Directory of Open Access Journals (Sweden)

    WAYAN ARTHINI

    2012-09-01

    Full Text Available Value at Risk (VaR is the maximum potential loss on a portfolio based on the probability at a certain time.  In this research, portfolio VaR values calculated from historical data and Monte Carlo simulation data. Historical data is processed so as to obtain stock returns, variance, correlation coefficient, and variance-covariance matrix, then the method of Markowitz sought proportion of each stock fund, and portfolio risk and return portfolio. The data was then simulated by Monte Carlo simulation, Exact Monte Carlo Simulation and Expected Monte Carlo Simulation. Exact Monte Carlo simulation have same returns and standard deviation  with historical data, while the Expected Monte Carlo Simulation satistic calculation similar to historical data. The results of this research is the portfolio VaR  with time horizon T=1, T=10, T=22 and the confidence level of 95 %, values obtained VaR between historical data and Monte Carlo simulation data with the method exact and expected. Value of VaR from both Monte Carlo simulation is greater than VaR historical data.

  18. VaRank: a simple and powerful tool for ranking genetic variants

    Directory of Open Access Journals (Sweden)

    Véronique Geoffroy

    2015-03-01

    Full Text Available Background. Most genetic disorders are caused by single nucleotide variations (SNVs or small insertion/deletions (indels. High throughput sequencing has broadened the catalogue of human variation, including common polymorphisms, rare variations or disease causing mutations. However, identifying one variation among hundreds or thousands of others is still a complex task for biologists, geneticists and clinicians.Results. We have developed VaRank, a command-line tool for the ranking of genetic variants detected by high-throughput sequencing. VaRank scores and prioritizes variants annotated either by Alamut Batch or SnpEff. A barcode allows users to quickly view the presence/absence of variants (with homozygote/heterozygote status in analyzed samples. VaRank supports the commonly used VCF input format for variants analysis thus allowing it to be easily integrated into NGS bioinformatics analysis pipelines. VaRank has been successfully applied to disease-gene identification as well as to molecular diagnostics setup for several hundred patients.Conclusions. VaRank is implemented in Tcl/Tk, a scripting language which is platform-independent but has been tested only on Unix environment. The source code is available under the GNU GPL, and together with sample data and detailed documentation can be downloaded from http://www.lbgi.fr/VaRank/.

  19. Semi-nonparametric VaR forecasts for hedge funds during the recent crisis

    Science.gov (United States)

    Del Brio, Esther B.; Mora-Valencia, Andrés; Perote, Javier

    2014-05-01

    The need to provide accurate value-at-risk (VaR) forecasting measures has triggered an important literature in econophysics. Although these accurate VaR models and methodologies are particularly demanded for hedge fund managers, there exist few articles specifically devoted to implement new techniques in hedge fund returns VaR forecasting. This article advances in these issues by comparing the performance of risk measures based on parametric distributions (the normal, Student’s t and skewed-t), semi-nonparametric (SNP) methodologies based on Gram-Charlier (GC) series and the extreme value theory (EVT) approach. Our results show that normal-, Student’s t- and Skewed t- based methodologies fail to forecast hedge fund VaR, whilst SNP and EVT approaches accurately success on it. We extend these results to the multivariate framework by providing an explicit formula for the GC copula and its density that encompasses the Gaussian copula and accounts for non-linear dependences. We show that the VaR obtained by the meta GC accurately captures portfolio risk and outperforms regulatory VaR estimates obtained through the meta Gaussian and Student’s t distributions.

  20. Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data

    Energy Technology Data Exchange (ETDEWEB)

    Danny L. Anderson

    2012-05-01

    Detailed hydrographic feature extraction from high-resolution light detection and ranging (LiDAR) data is investigated. Methods for quantitatively evaluating and comparing such extractions are presented, including the use of sinuosity and longitudinal root-mean-square-error (LRMSE). These metrics are then used to quantitatively compare stream networks in two studies. The first study examines the effect of raster cell size on watershed boundaries and stream networks delineated from LiDAR-derived digital elevation models (DEMs). The study confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes generally yielded better stream network delineations, based on sinuosity and LRMSE. The second study demonstrates a new method of delineating a stream directly from LiDAR point clouds, without the intermediate step of deriving a DEM. Direct use of LiDAR point clouds could improve efficiency and accuracy of hydrographic feature extractions. The direct delineation method developed herein and termed “mDn”, is an extension of the D8 method that has been used for several decades with gridded raster data. The method divides the region around a starting point into sectors, using the LiDAR data points within each sector to determine an average slope, and selecting the sector with the greatest downward slope to determine the direction of flow. An mDn delineation was compared with a traditional grid-based delineation, using TauDEM, and other readily available, common stream data sets. Although, the TauDEM delineation yielded a sinuosity that more closely matches the reference, the mDn delineation yielded a sinuosity that was higher than either the TauDEM method or the existing published stream delineations. Furthermore, stream delineation using the mDn method yielded the smallest LRMSE.

  1. Portable and Airborne Small Footprint LiDAR: Forest Canopy Structure Estimation of Fire Managed Plots

    Directory of Open Access Journals (Sweden)

    Claudia M.C.S. Listopad

    2011-06-01

    Full Text Available This study used an affordable ground-based portable LiDAR system to provide an understanding of the structural differences between old-growth and secondary-growth Southeastern pine. It provided insight into the strengths and weaknesses in the structural determination of portable systems in contrast to airborne LiDAR systems. Portable LiDAR height profiles and derived metrics and indices (e.g., canopy cover, canopy height were compared among plots with different fire frequency and fire season treatments within secondary forest and old growth plots. The treatments consisted of transitional season fire with four different return intervals: 1-yr, 2-yr, 3-yr fire return intervals, and fire suppressed plots. The remaining secondary plots were treated using a 2-yr late dormant season fire cycle. The old growth plots were treated using a 2-yr growing season fire cycle. Airborne and portable LiDAR derived canopy cover were consistent throughout the plots, with significantly higher canopy cover values found in 3-yr and fire suppressed plots. Portable LiDAR height profile and metrics presented a higher sensitivity in capturing subcanopy elements than the airborne system, particularly in dense canopy plots. The 3-dimensional structures of the secondary plots with varying fire return intervals were dramatically different to old-growth plots, where a symmetrical distribution with clear recruitment was visible. Portable LiDAR, even though limited to finer spatial scales and specific biases, is a low-cost investment with clear value for the management of forest canopy structure.

  2. Diversity arrays technology (DArT) markers in apple for genetic linkage maps.

    Science.gov (United States)

    Schouten, Henk J; van de Weg, W Eric; Carling, Jason; Khan, Sabaz Ali; McKay, Steven J; van Kaauwen, Martijn P W; Wittenberg, Alexander H J; Koehorst-van Putten, Herma J J; Noordijk, Yolanda; Gao, Zhongshan; Rees, D Jasper G; Van Dyk, Maria M; Jaccoud, Damian; Considine, Michael J; Kilian, Andrzej

    2012-03-01

    Diversity Arrays Technology (DArT) provides a high-throughput whole-genome genotyping platform for the detection and scoring of hundreds of polymorphic loci without any need for prior sequence information. The work presented here details the development and performance of a DArT genotyping array for apple. This is the first paper on DArT in horticultural trees. Genetic mapping of DArT markers in two mapping populations and their integration with other marker types showed that DArT is a powerful high-throughput method for obtaining accurate and reproducible marker data, despite the low cost per data point. This method appears to be suitable for aligning the genetic maps of different segregating populations. The standard complexity reduction method, based on the methylation-sensitive PstI restriction enzyme, resulted in a high frequency of markers, although there was 52-54% redundancy due to the repeated sampling of highly similar sequences. Sequencing of the marker clones showed that they are significantly enriched for low-copy, genic regions. The genome coverage using the standard method was 55-76%. For improved genome coverage, an alternative complexity reduction method was examined, which resulted in less redundancy and additional segregating markers. The DArT markers proved to be of high quality and were very suitable for genetic mapping at low cost for the apple, providing moderate genome coverage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-011-9579-5) contains supplementary material, which is available to authorized users.

  3. Synchronous Adversarial Feature Learning for LiDAR based Loop Closure Detection

    OpenAIRE

    Yin, Peng; He, Yuqing; Xu, Lingyun; Peng, Yan; Han, Jianda; Xu, Weiliang

    2018-01-01

    Loop Closure Detection (LCD) is the essential module in the simultaneous localization and mapping (SLAM) task. In the current appearance-based SLAM methods, the visual inputs are usually affected by illumination, appearance and viewpoints changes. Comparing to the visual inputs, with the active property, light detection and ranging (LiDAR) based point-cloud inputs are invariant to the illumination and appearance changes. In this paper, we extract 3D voxel maps and 2D top view maps from LiDAR ...

  4. Evaluating UAV and LiDAR Retrieval of Snow Depth in a Coniferous Forest in Arizona

    Science.gov (United States)

    Van Leeuwen, W. J. D.; Broxton, P.; Biederman, J. A.

    2017-12-01

    Remote sensing of snow depth and cover in forested environments is challenging. Trees interfere with the remote sensing of snowpack below the canopy and cause large variations in the spatial distribution of the snowpack itself (e.g. between below canopy environments to shaded gaps to open clearings). The distribution of trees and topographic variation make it challenging to monitor the snowpack with in-situ observations. Airborne LiDAR has improved our ability to monitor snowpack over large areas in montane and forested environments because of its high sampling rate and ability to penetrate the canopy. However, these LiDAR flights can be too expensive and time-consuming to process, making it hard to use them for real-time snow monitoring. In this research, we evaluate Structure from Motion (SfM) as an alternative to Airborne LiDAR to generate high-resolution snow depth data in forested environments. This past winter, we conducted a snow field campaign over Arizona's Mogollon Rim where we acquired aerial LiDAR, multi-angle aerial photography from a UAV, and extensive field observations of snow depth at two sites. LiDAR and SFM derived snow depth maps were generated by comparing "snow-on" and "snow-off" LiDAR and SfM data. The SfM- and LiDAR-generated snow depth maps were similar at a site with fewer trees, though there were more discrepancies at a site with more trees. Both compared reasonably well with the field observations at the sparser forested site, with poorer agreement at the denser forested site. Finally, although the SfM produced point clouds with much higher point densities than the aerial LiDAR, the SfM was not able to produce meaningful snow depth estimates directly underneath trees and had trouble in areas with deep shadows. Based on these findings, we are optimizing our UAV data acquisition strategies for this upcoming field season. We are using these data, along with high-resolution hydrological modeling, to gain a better understanding of how

  5. MKENO-DAR: a direct angular representation Monte Carlo code for criticality safety analysis

    International Nuclear Information System (INIS)

    Naito, Yoshitaka; Komuro, Yuichi; Tsunoo, Yukiyasu; Nakayama, Mitsuo.

    1984-03-01

    Improving the Monte Carlo code MULTI-KENO, the MKENO-DAR (Direct Angular Representation) code has been developed for criticality safety analysis in detail. A function was added to MULTI-KENO for representing anisotropic scattering strictly. With this function, the scattering angle of neutron is determined not by the average scattering angle μ-bar of the Pl Legendre polynomial but by the random work operation using probability distribution function produced with the higher order Legendre polynomials. This code is avilable for the FACOM-M380 computer. This report is a computer code manual for MKENO-DAR. (author)

  6. Coastal and tidal landform detection from high resolution topobathymetric LiDAR data

    DEFF Research Database (Denmark)

    Andersen, Mikkel S.; Al-Hamdani, Zyad K.; Steinbacher, Frank

    -resolution mapping of these land-water transition zones. We have carried out topobathymetric LiDAR surveys in the Knudedyb tidal inlet system, a coastal environment in the Danish Wadden Sea which is part of the Wadden Sea National Park and UNESCO World Heritage. Detailed digital elevation models (DEMs) with a grid...... to tides. Furthermore, we demonstrate the potential of morphometric analysis on high-resolution topobathymetric LiDAR data for automatic identification, characterisation and classification of different landforms present in coastal land-water transition zones. Acknowledgements This work was funded...

  7. Numerical modeling of the airflow around a forest edge using LiDAR-derived forest heigths

    DEFF Research Database (Denmark)

    Boudreault, Louis-Etienne; Dellwik, Ebba; Bechmann, Andreas

    A 3D methodology to quantify the effect of forests on the mean wind flow field is presented. The methodology is based on the treatment of forest raw data of light detection and ranging (LiDAR) scans, and a computational fluid dynamics (CFD) method based on a Reynolds-averaged Navier-Stokes (Ra......NS) approach using the k−e turbulence model with a corresponding canopy model. The example site investigated is a forest edge located on the Falster island in Denmark, where a measurement campaign was conducted. The LiDAR scans are used in order to obtain the forest heights, which served as input...

  8. Validation of the high-throughput marker technology DArT using the model plant Arabidopsis thaliana

    NARCIS (Netherlands)

    Wittenberg, A.H.J.; Lee, van der T.A.J.; Cayla, C.; Kilian, A.; Visser, R.G.F.; Schouten, H.J.

    2005-01-01

    Diversity Arrays Technology (DArT) is a microarray-based DNA marker technique for genome-wide discovery and genotyping of genetic variation. DArT allows simultaneous scoring of hundreds of restriction site based polymorphisms between genotypes and does not require DNA sequence information or

  9. Remote Sensing of Sonoran Desert Vegetation Structure and Phenology with Ground-Based LiDAR

    Directory of Open Access Journals (Sweden)

    Joel B. Sankey

    2014-12-01

    Full Text Available Long-term vegetation monitoring efforts have become increasingly important for understanding ecosystem response to global change. Many traditional methods for monitoring can be infrequent and limited in scope. Ground-based LiDAR is one remote sensing method that offers a clear advancement to monitor vegetation dynamics at high spatial and temporal resolution. We determined the effectiveness of LiDAR to detect intra-annual variability in vegetation structure at a long-term Sonoran Desert monitoring plot dominated by cacti, deciduous and evergreen shrubs. Monthly repeat LiDAR scans of perennial plant canopies over the course of one year had high precision. LiDAR measurements of canopy height and area were accurate with respect to total station survey measurements of individual plants. We found an increase in the number of LiDAR vegetation returns following the wet North American Monsoon season. This intra-annual variability in vegetation structure detected by LiDAR was attributable to a drought deciduous shrub Ambrosia deltoidea, whereas the evergreen shrub Larrea tridentata and cactus Opuntia engelmannii had low variability. Benefits of using LiDAR over traditional methods to census desert plants are more rapid, consistent, and cost-effective data acquisition in a high-resolution, 3-dimensional context. We conclude that repeat LiDAR measurements can be an effective method for documenting ecosystem response to desert climatology and drought over short time intervals and at detailed-local spatial scale.

  10. Comparing LiDAR-Generated to ground- surveyed channel cross-sectional profiles in a forested mountain stream

    Science.gov (United States)

    Brian C. Dietterick; Russell White; Ryan Hilburn

    2012-01-01

    Airborne Light Detection and Ranging (LiDAR) holds promise to provide an alternative to traditional ground-based survey methods for stream channel characterization and some change detection purposes, even under challenging landscape conditions. This study compared channel characteristics measured at 53 ground-surveyed and LiDAR-derived crosssectional profiles located...

  11. Prevalence of teeth with untreated dental trauma among nursery and primary school pupils in Dar es Salaam, Tanzania.

    NARCIS (Netherlands)

    Kahabuka, F.K.; Plasschaert, A.J.M.; Hof, M.A. van 't

    2001-01-01

    The aim of this study was to investigate the prevalence of teeth with untreated dental trauma among children aged 4-15 years in Dar es Salaam, Tanzania. A sample of 4524 children from three districts of different socio-economic status in the Dar es Salaam area was examined for signs of dental trauma

  12. Carbazole-based copolymers via direct arylation polymerization (DArP) for Suzuki-convergent polymer solar cell performance

    DEFF Research Database (Denmark)

    Gobalasingham, Nemal S.; Ekiz, Seyma; Pankow, Robert M.

    2017-01-01

    Although direct arylation polymerization (DArP) has recently emerged as an alternative to traditional cross-coupling methods like Suzuki polymerization, the evaluation of DArP polymers in practical applications like polymer solar cells (PSCs) is limited. Because even the presence of minute...

  13. Airborne LiDAR reflective linear feature extraction for strip adjustment and horizontal accuracy determination : executive summary.

    Science.gov (United States)

    2009-02-01

    The Office of Aerial Engineering (OAE) has been : using an Optech 30/70 ALTM airborne LiDAR system : for about four years. The introduction of LiDAR : technology was a major development towards : improving the mapping operations, and the overall : ex...

  14. Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey

    Science.gov (United States)

    Lei Wang; Andrew G. Birt; Charles W. Lafon; David M. Cairns; Robert N. Coulson; Maria D. Tchakerian; Weimin Xi; Sorin C. Popescu; James M. Guldin

    2013-01-01

    Small Footprint LiDAR (Light Detection And Ranging) has been proposed as an effective tool for measuring detailed biophysical characteristics of forests over broad spatial scales. However, by itself LiDAR yields only a sample of the true 3D structure of a forest. In order to extract useful forestry relevant information, this data must be interpreted using mathematical...

  15. Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories

    Science.gov (United States)

    Wade T. Tinkham; Alistair M. S. Smith; Chad Hoffman; Andrew T. Hudak; Michael J. Falkowski; Mark E. Swanson; Paul E. Gessler

    2012-01-01

    Light detection and ranging, or LiDAR, effectively produces products spatially characterizing both terrain and vegetation structure; however, development and use of those products has outpaced our understanding of the errors within them. LiDAR's ability to capture three-dimensional structure has led to interest in conducting or augmenting forest inventories with...

  16. Registration of Aerial Optical Images with LiDAR Data Using the Closest Point Principle and Collinearity Equations.

    Science.gov (United States)

    Huang, Rongyong; Zheng, Shunyi; Hu, Kun

    2018-06-01

    Registration of large-scale optical images with airborne LiDAR data is the basis of the integration of photogrammetry and LiDAR. However, geometric misalignments still exist between some aerial optical images and airborne LiDAR point clouds. To eliminate such misalignments, we extended a method for registering close-range optical images with terrestrial LiDAR data to a variety of large-scale aerial optical images and airborne LiDAR data. The fundamental principle is to minimize the distances from the photogrammetric matching points to the terrestrial LiDAR data surface. Except for the satisfactory efficiency of about 79 s per 6732 × 8984 image, the experimental results also show that the unit weighted root mean square (RMS) of the image points is able to reach a sub-pixel level (0.45 to 0.62 pixel), and the actual horizontal and vertical accuracy can be greatly improved to a high level of 1/4⁻1/2 (0.17⁻0.27 m) and 1/8⁻1/4 (0.10⁻0.15 m) of the average LiDAR point distance respectively. Finally, the method is proved to be more accurate, feasible, efficient, and practical in variety of large-scale aerial optical image and LiDAR data.

  17. VA/Q distribution during heavy exercise and recovery in humans: implications for pulmonary edema

    Science.gov (United States)

    Schaffartzik, W.; Poole, D. C.; Derion, T.; Tsukimoto, K.; Hogan, M. C.; Arcos, J. P.; Bebout, D. E.; Wagner, P. D.

    1992-01-01

    Ventilation-perfusion (VA/Q) inequality has been shown to increase with exercise. Potential mechanisms for this increase include nonuniform pulmonary vasoconstriction, ventilatory time constant inequality, reduced large airway gas mixing, and development of interstitial pulmonary edema. We hypothesized that persistence of VA/Q mismatch after ventilation and cardiac output subside during recovery would be consistent with edema; however, rapid resolution would suggest mechanisms related to changes in ventilation and blood flow per se. Thirteen healthy males performed near-maximal cycle ergometry at an inspiratory PO2 of 91 Torr (because hypoxia accentuates VA/Q mismatch on exercise). Cardiorespiratory variables and inert gas elimination patterns were measured at rest, during exercise, and between 2 and 30 min of recovery. Two profiles of VA/Q distribution behavior emerged during heavy exercise: in group 1 an increase in VA/Q mismatch (log SDQ of 0.35 +/- 0.02 at rest and 0.44 +/- 0.02 at exercise; P less than 0.05, n = 7) and in group 2 no change in VA/Q mismatch (n = 6). There were no differences in anthropometric data, work rate, O2 uptake, or ventilation during heavy exercise between groups. Group 1 demonstrated significantly greater VA/Q inequality, lower vital capacity, and higher forced expiratory flow at 25-75% of forced vital capacity for the first 20 min during recovery than group 2. Cardiac index was higher in group 1 both during heavy exercise and 4 and 6 min postexercise. However, both ventilation and cardiac output returned toward baseline values more rapidly than did VA/Q relationships. Arterial pH was lower in group 1 during exercise and recovery. We conclude that greater VA/Q inequality in group 1 and its persistence during recovery are consistent with the hypothesis that edema occurs and contributes to the increase in VA/Q inequality during exercise. This is supported by observation of greater blood flows and acidosis and, presumably therefore

  18. Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase two, volume 3 : advanced consideration in LiDAR technology for bridge evaluation.

    Science.gov (United States)

    2012-03-01

    This report describes Phase Two enhancement of terrestrial LiDAR scanning for bridge damage : evaluation that was initially developed in Phase One. Considering the spatial and reflectivity : information contained in LiDAR scans, two detection algorit...

  19. Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 3 : use of scanning LiDAR in structural evaluation of bridges.

    Science.gov (United States)

    2009-12-01

    This volume introduces several applications of remote bridge inspection technologies studied in : this Integrated Remote Sensing and Visualization (IRSV) study using ground-based LiDAR : systems. In particular, the application of terrestrial LiDAR fo...

  20. KML-Based Access and Visualization of High Resolution LiDAR Topography

    Science.gov (United States)

    Crosby, C. J.; Blair, J. L.; Nandigam, V.; Memon, A.; Baru, C.; Arrowsmith, J. R.

    2008-12-01

    Over the past decade, there has been dramatic growth in the acquisition of LiDAR (Light Detection And Ranging) high-resolution topographic data for earth science studies. Capable of providing digital elevation models (DEMs) more than an order of magnitude higher resolution than those currently available, LiDAR data allow earth scientists to study the processes that contribute to landscape evolution at resolutions not previously possible yet essential for their appropriate representation. These datasets also have significant implications for earth science education and outreach because they provide an accurate representation of landforms and geologic hazards. Unfortunately, the massive volume of data produced by LiDAR mapping technology can be a barrier to their use. To make these data available to a larger user community, we have been exploring the use of Keyhole Markup Language (KML) and Google Earth to provide access to LiDAR data products and visualizations. LiDAR digital elevation models are typically delivered in a tiled format that lends itself well to a KML-based distribution system. For LiDAR datasets hosted in the GEON OpenTopography Portal (www.opentopography.org) we have developed KML files that show the extent of available LiDAR DEMs and provide direct access to the data products. Users interact with these KML files to explore the extent of the available data and are able to select DEMs that correspond to their area of interest. Selection of a tile loads a download that the user can then save locally for analysis in their software of choice. The GEON topography system also has tools available that allow users to generate custom DEMs from LiDAR point cloud data. This system is powerful because it enables users to access massive volumes of raw LiDAR data and to produce DEM products that are optimized to their science applications. We have developed a web service that converts the custom DEM models produced by the system to a hillshade that is delivered to

  1. Interaction of blood coagulation factor Va with phospholipid vesicles examined by using lipophilic photoreagents

    International Nuclear Information System (INIS)

    Krieg, U.C.; Isaacs, B.S.; Yemul, S.S.; Esmon, C.T.; Bayley, H.; Johnson, A.E.

    1987-01-01

    Two different lipophilic photoreagents, [ 3 H]adamantane diazirine and 3-(trifluoromethyl)-3-(m-[ 125 I]iodophenyl)diazirine (TID), have been utilized to examine the interactions of blood coagulation factor Va with calcium, prothrombin, factor Xa, and, in particular, phospholipid vesicles. With each of these structurally dissimilar reagents, the extent of photolabeling of factor Va was greater when the protein was bound to a membrane surface than when it was free in solution. Specifically, the covalent photoreaction with Vl, the smaller subunit of factor Va, was 2-fold higher in the presence of phosphatidylcholine/phosphatidylserine (PC/PS, 3:1) vesicles, to which factor Va binds, than in the presence of 100% PC vesicles, to which the protein does not bind. However, the magnitude of the PC/PS-dependent photolabeling was much less than has been observed previously with integral membrane proteins. It therefore appears that the binding of factor Va to the membrane surface exposes Vl to the lipid core of the bilayer, but that only a small portion of the Vl polypeptide is exposed to, or embedded in, the bilayer core. Addition of either prothrombin or active-site-blocked factor Xa to PC/PS-bound factor Va had little effect on the photolabeling of Vl with TID, but reduced substantially the covalent labeling of Vh, the larger subunit of factor Va. This indicates that prothrombin and factor Xa each cover nonpolar surfaces on Vh when the macromolecules associate on the PC/PS surface. It therefore seems likely that the formation of the prothrombinase complex involves a direct interaction between Vh and factor Xa and between Vh and prothrombin.(ABSTRACT TRUNCATED AT 250 WORDS)

  2. Electroencephalogram (EEG spectral features discriminate between Alzheimer’s (AD and Vascular dementia (VaD

    Directory of Open Access Journals (Sweden)

    Emanuel eNeto

    2015-02-01

    Full Text Available Alzheimer’s disease (AD and vascular dementia (VaD present with similar clinical symptoms of cognitive decline, but the underlying pathophysiological mechanisms differ. To determine whether clinical electroencephalography (EEG can provide information relevant to discriminate between these diagnoses, we used quantitative EEG analysis to compare the spectra between non-medicated patients with AD (n=77 and VaD (n=77 and healthy elderly normal controls (NC (n=77. We use curve-fitting with a combination of a power loss and Gaussian function to model the averaged resting-state spectra of each EEG channel extracting six parameters. We assessed the performance of our model and tested the extracted parameters for group differentiation. We performed regression analysis in a MANCOVA with group, age, gender, and number of epochs as predictors and further explored the topographical group differences with pair-wise contrasts. Significant topographical differences between the groups were found in several of the extracted features. Both AD and VaD groups showed increased delta power when compared to NC, whereas the AD patients showed a decrease in alpha power for occipital and temporal regions when compared with NC. The VaD patients had higher alpha power than NC and AD. The AD and VaD groups showed slowing of the alpha rhythm. Variability of the alpha frequency was wider for both AD and VaD groups. There was a general decrease in beta power for both AD and VaD. The proposed model is a useful to parameterize spectra which allowed extracting relevant clinical EEG key features that move towards simple and interpretable diagnostic criteria.

  3. Topiramate Protects Pericytes from Glucotoxicity: Role for Mitochondrial CA VA in Cerebromicrovascular Disease in Diabetes.

    Science.gov (United States)

    Patrick, Ping; Price, Tulin O; Diogo, Ana L; Sheibani, Nader; Banks, William A; Shah, Gul N

    Hyperglycemia in diabetes mellitus causes oxidative stress and pericyte depletion from the microvasculature of the brain thus leading to the Blood-Brain Barrier (BBB) disruption. The compromised BBB exposes the brain to circulating substances, resulting in neurotoxicity and neuronal cell death. The decline in pericyte numbers in diabetic mouse brain and pericyte apoptosis in high glucose cultures are caused by excess superoxide produced during enhanced respiration (mitochondrial oxidative metabolism of glucose). Superoxide is precursor to all Reactive Oxygen Species (ROS) which, in turn, cause oxidative stress. The rate of respiration and thus the ROS production is regulated by mitochondrial carbonic anhydrases (mCA) VA and VB, the two isoforms expressed in the mitochondria. Inhibition of both mCA: decreases the oxidative stress and restores the pericyte numbers in diabetic brain; and reduces high glucose-induced respiration, ROS, oxidative stress, and apoptosis in cultured brain pericytes. However, the individual role of the two isoforms has not been established. To investigate the contribution of mCA VA in ROS production and apoptosis, a mCA VA overexpressing brain pericyte cell line was engineered. These cells were exposed to high glucose and analyzed for the changes in ROS and apoptosis. Overexpression of mCA VA significantly increased pericyte ROS and apoptosis. Inhibition of mCA VA with topiramate prevented increases both in glucose-induced ROS and pericyte death. These results demonstrate, for the first time, that mCA VA regulates the rate of pericyte respiration. These findings identify mCA VA as a novel and specific therapeutic target to protect the cerebromicrovascular bed in diabetes.

  4. Interpersonal Conflicts and Styles of Managing Conflicts among Students at Bahir Dar University, Ethiopia

    Science.gov (United States)

    Bazezew, Arega; Neka, Mulugeta

    2017-01-01

    Interpersonal conflict happens everywhere and at any time and is inherent in all societies. However, the methods of managing such conflict are quite different from one organisation to the other. The general objective of the study was to assess interpersonal conflicts and styles of managing conflicts among students at Bahir Dar University.…

  5. 2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (Pennsylvania)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Fugro EarthData, Inc. (Fugro) was tasked by the U.S. Geological Survey (USGS) to plan, acquire, process, and produce derivative products of LiDAR data at a nominal...

  6. Automatic extraction of pavement markings on streets from point cloud data of mobile LiDAR

    International Nuclear Information System (INIS)

    Gao, Yang; Zhong, Ruofei; Liu, Xianlin; Tang, Tao; Wang, Liuzhao

    2017-01-01

    Pavement markings provide an important foundation as they help to keep roads users safe. Accurate and comprehensive information about pavement markings assists the road regulators and is useful in developing driverless technology. Mobile light detection and ranging (LiDAR) systems offer new opportunities to collect and process accurate pavement markings’ information. Mobile LiDAR systems can directly obtain the three-dimensional (3D) coordinates of an object, thus defining spatial data and the intensity of (3D) objects in a fast and efficient way. The RGB attribute information of data points can be obtained based on the panoramic camera in the system. In this paper, we present a novel method process to automatically extract pavement markings using multiple attribute information of the laser scanning point cloud from the mobile LiDAR data. This method process utilizes a differential grayscale of RGB color, laser pulse reflection intensity, and the differential intensity to identify and extract pavement markings. We utilized point cloud density to remove the noise and used morphological operations to eliminate the errors. In the application, we tested our method process on different sections of roads in Beijing, China, and Buffalo, NY, USA. The results indicated that both correctness ( p ) and completeness ( r ) were higher than 90%. The method process of this research can be applied to extract pavement markings from huge point cloud data produced by mobile LiDAR. (paper)

  7. The Dar es Salaam Seascape: A Case Study of an Environmental ...

    African Journals Online (AJOL)

    These pressures have resulted in substantial negative environmental state changes, e.g., habitat loss and degradation, biodiversity loss and disturbance of food webs, and coastal erosion/accretion. Thus, the Dar es Salaam seascape has become an environmental “hotspot” of degradation, with consequent negative ...

  8. LiDAR Relative Reflectivity Surface (2011) for Coral Bay, St. John

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This image represents a LiDAR (Light Detection & Ranging) 0.3x0.3 meter resolution relative seafloor reflectivity surface for Coral Bay, St. John in the U.S....

  9. International Journal of Arts and Humanities(IJAH) Bahir Dar- Ethiopia

    African Journals Online (AJOL)

    DrNneka

    International Journal of Arts and Humanities(IJAH). Bahir Dar- Ethiopia. Vol. 5(2), S/No 17, April, ... Commission's accreditation exercise on personnel in the business education programmes of the universities in the South-east .... education personnel in universities. Method. The study adopted descriptive survey design.

  10. Linking rainforest ecophysiology and microclimate through fusion of airborne LiDAR and hyperspectral imagery

    Science.gov (United States)

    Eben N. Broadbent; Angélica M. Almeyda Zambrano; Gregory P. Asner; Christopher B. Field; Brad E. Rosenheim; Ty Kennedy-Bowdoin; David E. Knapp; David Burke; Christian Giardina; Susan Cordell

    2014-01-01

    We develop and validate a high-resolution three-dimensional model of light and air temperature for a tropical forest interior in Hawaii along an elevation gradient varying greatly in structure but maintaining a consistent species composition. Our microclimate models integrate high-resolution airborne waveform light detection and ranging data (LiDAR) and hyperspectral...

  11. Examining conifer canopy structural complexity across forest ages and elevations with LiDAR data

    Science.gov (United States)

    Van R. Kane; Jonathan D. Bakker; Robert J. McGaughey; James A. Lutz; Rolf F. Gersonde; Jerry F. Franklin

    2010-01-01

    LiDAR measurements of canopy structure can be used to classify forest stands into structural stages to study spatial patterns of canopy structure, identify habitat, or plan management actions. A key assumption in this process is that differences in canopy structure based on forest age and elevation are consistent with predictions from models of stand development. Three...

  12. Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology

    Science.gov (United States)

    Chase, Arlen F.; Fisher, Christopher T.; Leisz, Stephen J.; Weishampel, John F.

    2012-01-01

    The application of light detection and ranging (LiDAR), a laser-based remote-sensing technology that is capable of penetrating overlying vegetation and forest canopies, is generating a fundamental shift in Mesoamerican archaeology and has the potential to transform research in forested areas world-wide. Much as radiocarbon dating that half a century ago moved archaeology forward by grounding archaeological remains in time, LiDAR is proving to be a catalyst for an improved spatial understanding of the past. With LiDAR, ancient societies can be contextualized within a fully defined landscape. Interpretations about the scale and organization of densely forested sites no longer are constrained by sample size, as they were when mapping required laborious on-ground survey. The ability to articulate ancient landscapes fully permits a better understanding of the complexity of ancient Mesoamerican urbanism and also aids in modern conservation efforts. The importance of this geospatial innovation is demonstrated with newly acquired LiDAR data from the archaeological sites of Caracol, Cayo, Belize and Angamuco, Michoacán, Mexico. These data illustrate the potential of technology to act as a catalytic enabler of rapid transformational change in archaeological research and interpretation and also underscore the value of on-the-ground archaeological investigation in validating and contextualizing results. PMID:22802623

  13. 2002 Maryland Department of Natural Resources LiDAR: Worcester County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Light Detection and Ranging (LiDAR) is a method of locating objects on the ground using aerial-borne equipment. It is similar to RADAR or SONAR in that the two-way...

  14. Multispectral LiDAR Data for Land Cover Classification of Urban Areas

    Directory of Open Access Journals (Sweden)

    Salem Morsy

    2017-04-01

    Full Text Available Airborne Light Detection And Ranging (LiDAR systems usually operate at a monochromatic wavelength measuring the range and the strength of the reflected energy (intensity from objects. Recently, multispectral LiDAR sensors, which acquire data at different wavelengths, have emerged. This allows for recording of a diversity of spectral reflectance from objects. In this context, we aim to investigate the use of multispectral LiDAR data in land cover classification using two different techniques. The first is image-based classification, where intensity and height images are created from LiDAR points and then a maximum likelihood classifier is applied. The second is point-based classification, where ground filtering and Normalized Difference Vegetation Indices (NDVIs computation are conducted. A dataset of an urban area located in Oshawa, Ontario, Canada, is classified into four classes: buildings, trees, roads and grass. An overall accuracy of up to 89.9% and 92.7% is achieved from image classification and 3D point classification, respectively. A radiometric correction model is also applied to the intensity data in order to remove the attenuation due to the system distortion and terrain height variation. The classification process is then repeated, and the results demonstrate that there are no significant improvements achieved in the overall accuracy.

  15. Analysis of airborne LiDAR surveys to quantify the characteristic morphologies of northern forested wetlands

    Science.gov (United States)

    Murray C. Richardson; Carl P. J. Mitchell; Brian A. Branfireun; Randall K. Kolka

    2010-01-01

    A new technique for quantifying the geomorphic form of northern forested wetlands from airborne LiDAR surveys is introduced, demonstrating the unprecedented ability to characterize the geomorphic form of northern forested wetlands using high-resolution digital topography. Two quantitative indices are presented, including the lagg width index (LWI) which objectively...

  16. Development of DArT-based PCR markers for selecting drought-tolerant spring barley.

    Science.gov (United States)

    Fiust, Anna; Rapacz, Marcin; Wójcik-Jagła, Magdalena; Tyrka, Mirosław

    2015-08-01

    The tolerance of spring barley (Hordeum vulgare L.) cultivars to spring drought is an important agronomic trait affecting crop yield and quality in Poland. Therefore, breeders require new molecular markers to select plants with lower spring drought susceptibility. With the advent of genomic selection technology, simple molecular tools may still be applicable to screen material for markers of the most important traits and in-depth genome scanning. In previous studies, diversity arrays technology (DArT)-based genetic maps were constructed for F2 populations of Polish fodder and malt barley elite breeding lines, and 15 and 18 quantitative trait loci (QTLs) related to spring drought tolerance were identified, respectively. In this paper, we show the results of a conversion of 30 DArT markers corresponding to 11 QTLs into simple sequence repeat (SSR) and sequence tagged site (STS) markers. Twenty-two polymorphic markers were obtained, including 13 DArT-based SSRs. Additionally, 31 SSR markers, located in close proximity to the DArT markers, were selected from the GrainGenes database and tested. Further analyses of 24 advanced breeding lines with different drought tolerances confirmed that five out of the 30 converted markers, as well as three out of the 31 additional SSR markers, were effective in marker-assisted selection for drought tolerance. The possible function of clones related to these markers in drought tolerance is discussed.

  17. Child Labour in Urban Agriculture: The Case of Dar es Salaam, Tanzania.

    Science.gov (United States)

    Mlozi, Malongo R. S.

    1995-01-01

    Urban agriculture in Dar es Salaam was found to use child labor of both children with parents of higher and lower socioeconomic status (SES). Discusses policy implications and calls for the education of parents of lower SES not to expect an economic contribution from their children's labor, and the education of children about their rights. (LZ)

  18. How Children Living in Poor Areas of Dar Es Salaam, Tanzania Perceive Their Own Multiple Intelligences

    Science.gov (United States)

    Dixon, Pauline; Humble, Steve; Chan, David W.

    2016-01-01

    This study was carried out with 1,857 poor children from 17 schools, living in low-income areas of Dar Es Salaam, Tanzania. All children took the "Student Multiple Intelligences Profile" (SMIP) questionnaire as part of a bigger project that gathered data around concepts and beliefs of talent. This paper sets out two aims, first to…

  19. Genetics and Human Agency: Comment on Dar-Nimrod and Heine (2011)

    Science.gov (United States)

    Turkheimer, Eric

    2011-01-01

    Dar-Nimrod and Heine (2011) decried genetic essentialism without denying the importance of genetics in the genesis of human behavior, and although I agree on both counts, a deeper issue remains unaddressed: how should we adjust our cognitions about our own behavior in light of genetic influence, or is it perhaps not necessary to take genetics into…

  20. 2012-2013 U.S. Geological Survey LiDAR: Territory of Guam

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Territory of Guam, LiDAR Task G11PD01189 This task order is for production of surface model products of The Territory of Guam. The models are produced from data...

  1. Patterns and correlates of solid waste disposal practices in Dar es ...

    African Journals Online (AJOL)

    This study examines the patterns and correlations of solid waste disposal practices among households in urbanized and populated Dar es Salaam city in Tanzania. The Tanzanian Household Budget Survey (HBS) data covering many households' characteristics was used. Multinomial Logit (MNL) model was applied to ...

  2. Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR

    NARCIS (Netherlands)

    Nevalainen, O.; Hakala, T.; Suomalainen, J.M.; Mäkipää, R.; Peltoniemi, M.; Krooks, A.; Kaasalainen, S.

    2014-01-01

    We propose an empirical method for nondestructive estimation of chlorophyll in tree canopies. The first prototype of a full waveform hyperspectral LiDAR instrument has been developed by the Finnish Geodetic Institute (FGI). The instrument efficiently combines the benefits of passive and active

  3. Key events and their effects on cycling behaviour in Dar-es-Salaam : abstract + powerpoint

    NARCIS (Netherlands)

    Nkurunziza, A.; Zuidgeest, M.H.P.; Brussel, M.J.G.; van Maarseveen, M.F.A.M.

    2012-01-01

    The paper explores key events and investigates their effects on cycling behaviour in the city of Dar-es-Salaam, Tanzania. The objective of the study is to identify specific key events during a person’s life course with a significant effect on change of travel behaviour towards cycling in relation to

  4. LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

    Science.gov (United States)

    Chad Babcock; Andrew O. Finley; John B. Bradford; Randy Kolka; Richard Birdsey; Michael G. Ryan

    2015-01-01

    Many studies and production inventory systems have shown the utility of coupling covariates derived from Light Detection and Ranging (LiDAR) data with forest variables measured on georeferenced inventory plots through regression models. The objective of this study was to propose and assess the use of a Bayesian hierarchical modeling framework that accommodates both...

  5. Pit Latrine Emptying Behavior and Demand for Sanitation Services in Dar Es Salaam, Tanzania

    Directory of Open Access Journals (Sweden)

    Marion W. Jenkins

    2015-02-01

    Full Text Available Pit latrines are the main form of sanitation in unplanned areas in many rapidly growing developing cities. Understanding demand for pit latrine fecal sludge management (FSM services in these communities is important for designing demand-responsive sanitation services and policies to improve public health. We examine latrine emptying knowledge, attitudes, behavior, trends and rates of safe/unsafe emptying, and measure demand for a new hygienic latrine emptying service in unplanned communities in Dar Es Salaam (Dar, Tanzania, using data from a cross-sectional survey at 662 residential properties in 35 unplanned sub-wards across Dar, where 97% had pit latrines. A picture emerges of expensive and poor FSM service options for latrine owners, resulting in widespread fecal sludge exposure that is likely to increase unless addressed. Households delay emptying as long as possible, use full pits beyond what is safe, face high costs even for unhygienic emptying, and resort to unsafe practices like ‘flooding out’. We measured strong interest in and willingness to pay (WTP for the new pit emptying service at 96% of residences; 57% were WTP ≥U.S. $17 to remove ≥200 L of sludge. Emerging policy recommendations for safe FSM in unplanned urban communities in Dar and elsewhere are discussed.

  6. 2010 U.S. Geological Survey (USGS) Topographic LiDAR: Mobile Bay, AL

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — USGS Contract: G10PC00026 Task Order Number: G10PD00578 LiDAR was collected at a nominal pulse spacing of 2.0 meters for a 700 square mile area to the east of Mobile...

  7. The effect of El Nino on trypanosome infection in cattle in Dar es ...

    African Journals Online (AJOL)

    A retrospective study was carried out to assess the effect of El Nino on trypanosome infection in cattle. Trypanosome infection was monitored in free grazing dairy cattle before and after El Nino in Dar es Salaam. The study involved 49 smallholder dairy herds with a total of 570 dairy cattle. Trypanosomes were identified by ...

  8. A comparison of two open source LiDAR surface classification algorithms

    Science.gov (United States)

    With the progression of LiDAR (Light Detection and Ranging) towards a mainstream resource management tool, it has become necessary to understand how best to process and analyze the data. While most ground surface identification algorithms remain proprietary and have high purchase costs; a few are op...

  9. Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network

    Directory of Open Access Journals (Sweden)

    Hasan Asy’ari Arief

    2018-06-01

    Full Text Available Inspired by the success of deep learning techniques in dense-label prediction and the increasing availability of high precision airborne light detection and ranging (LiDAR data, we present a research process that compares a collection of well-proven semantic segmentation architectures based on the deep learning approach. Our investigation concludes with the proposition of some novel deep learning architectures for generating detailed land resource maps by employing a semantic segmentation approach. The contribution of our work is threefold. (1 First, we implement the multiclass version of the intersection-over-union (IoU loss function that contributes to handling highly imbalanced datasets and preventing overfitting. (2 Thereafter, we propose a novel deep learning architecture integrating the deep atrous network architecture with the stochastic depth approach for speeding up the learning process, and impose a regularization effect. (3 Finally, we introduce an early fusion deep layer that combines image-based and LiDAR-derived features. In a benchmark study carried out using the Follo 2014 LiDAR data and the NIBIO AR5 land resources dataset, we compare our proposals to other deep learning architectures. A quantitative comparison shows that our best proposal provides more than 5% relative improvement in terms of mean intersection-over-union over the atrous network, providing a basis for a more frequent and improved use of LiDAR data for automatic land cover segmentation.

  10. planning for the automation of the university of dar es salaam library

    African Journals Online (AJOL)

    The paper examines the planning process for the automation of the University of Dar es Salaam Library. The planning phases described include the preparation phase, planning for implementation and database construction. The major issues during the preparation phase are the discussion on the context of automation, ...

  11. Mapping snags and understory shrubs for LiDAR based assessment of wildlife habitat suitability

    Science.gov (United States)

    Sebastian Martinuzzi; Lee A. Vierling; William A. Gould; Michael J. Falkowski; Jeffrey S. Evans; Andrew T. Hudak; Kerri T. Vierling

    2009-01-01

    The lack of maps depicting forest three-dimensional structure, particularly as pertaining to snags and understory shrub species distribution, is a major limitation for managing wildlife habitat in forests. Developing new techniques to remotely map snags and understory shrubs is therefore an important need. To address this, we first evaluated the use of LiDAR data for...

  12. Real-time surveillance system for marine environment based on HLIF LiDAR

    Science.gov (United States)

    Babichenko, Sergey; Sobolev, Innokenti; Aleksejev, Valeri; Sõro, Oliver

    2017-10-01

    The operational monitoring of the risk areas of marine environment requires cost-effective solutions. One of the options is the use of sensor networks based on fixed installations and moving platforms (coastal boats, supply-, cargo-, and passenger vessels). Such network allows to gather environmental data in time and space with direct links to operational activities in the controlled area for further environmental risk assessment. Among many remote sensing techniques the LiDAR (Light Detection And Ranging) based on Light Induced Fluorescence (LIF) is the tool of direct assessment of water quality variations caused by chemical pollution, colored dissolved organic matter, and phytoplankton composition. The Hyperspectral LIF (HLIF) LiDAR acquires comprehensive LIF spectra and analyses them by spectral pattern recognition technique to detect and classify the substances in water remotely. Combined use of HLIF LiDARs with Real-Time Data Management System (RTDMS) provides the economically effective solution for the regular monitoring in the controlled area. OCEAN VISUALS in cooperation with LDI INNOVATION has developed Oil in Water Locator (OWL™) with RTDMS (OWL MAP™) based on HLIF LiDAR technique. This is a novel technical solution for monitoring of marine environment providing continuous unattended operations. OWL™ has been extensively tested on board of various vessels in the North Sea, Norwegian Sea, Barents Sea, Baltic Sea and Caribbean Sea. This paper describes the technology features, the results of its operational use in 2014-2017, and outlook for the technology development.

  13. Multispectral LiDAR Data for Land Cover Classification of Urban Areas.

    Science.gov (United States)

    Morsy, Salem; Shaker, Ahmed; El-Rabbany, Ahmed

    2017-04-26

    Airborne Light Detection And Ranging (LiDAR) systems usually operate at a monochromatic wavelength measuring the range and the strength of the reflected energy (intensity) from objects. Recently, multispectral LiDAR sensors, which acquire data at different wavelengths, have emerged. This allows for recording of a diversity of spectral reflectance from objects. In this context, we aim to investigate the use of multispectral LiDAR data in land cover classification using two different techniques. The first is image-based classification, where intensity and height images are created from LiDAR points and then a maximum likelihood classifier is applied. The second is point-based classification, where ground filtering and Normalized Difference Vegetation Indices (NDVIs) computation are conducted. A dataset of an urban area located in Oshawa, Ontario, Canada, is classified into four classes: buildings, trees, roads and grass. An overall accuracy of up to 89.9% and 92.7% is achieved from image classification and 3D point classification, respectively. A radiometric correction model is also applied to the intensity data in order to remove the attenuation due to the system distortion and terrain height variation. The classification process is then repeated, and the results demonstrate that there are no significant improvements achieved in the overall accuracy.

  14. Heavy metal contamination in agricultural soils and water in Dar es ...

    African Journals Online (AJOL)

    USER

    Department of Environmental Science and Management, Ardhi University, P. O. Box 35176, Dar es Salaam, Tanzania. Accepted 20 ... opportunities, demand for food, proximity to markets and ... serious environmental and public health effects. One of ... concentrations they can lead to poisoning (Cambra et al.,. 1999).

  15. Hyperspectral and LiDAR remote sensing of fire fuels in Hawaii Volcanoes National Park.

    Science.gov (United States)

    Varga, Timothy A; Asner, Gregory P

    2008-04-01

    Alien invasive grasses threaten to transform Hawaiian ecosystems through the alteration of ecosystem dynamics, especially the creation or intensification of a fire cycle. Across sub-montane ecosystems of Hawaii Volcanoes National Park on Hawaii Island, we quantified fine fuels and fire spread potential of invasive grasses using a combination of airborne hyperspectral and light detection and ranging (LiDAR) measurements. Across a gradient from forest to savanna to shrubland, automated mixture analysis of hyperspectral data provided spatially explicit fractional cover estimates of photosynthetic vegetation, non-photosynthetic vegetation, and bare substrate and shade. Small-footprint LiDAR provided measurements of vegetation height along this gradient of ecosystems. Through the fusion of hyperspectral and LiDAR data, a new fire fuel index (FFI) was developed to model the three-dimensional volume of grass fuels. Regionally, savanna ecosystems had the highest volumes of fire fuels, averaging 20% across the ecosystem and frequently filling all of the three-dimensional space represented by each image pixel. The forest and shrubland ecosystems had lower FFI values, averaging 4.4% and 8.4%, respectively. The results indicate that the fusion of hyperspectral and LiDAR remote sensing can provide unique information on the three-dimensional properties of ecosystems, their flammability, and the potential for fire spread.

  16. Modeling commuter preferences for the proposed bus rapid transit in Dar-es-Salaam

    NARCIS (Netherlands)

    Nkurunziza, A.; Zuidgeest, M.H.P.; Brussel, M.J.G.; van Maarseveen, M.F.A.M.

    2012-01-01

    The paper analyzes individual commuter preferences towards the proposed bus rapid transit (BRT) system in Dar-es-Salaam, Tanzania. The objective of the survey was to identify how commuters perceive and value the proposed BRT service quality attributes. A stated preference survey of potential users

  17. A LiDAR method of canopy structure retrieval for wind modeling of heterogeneous forests

    DEFF Research Database (Denmark)

    Boudreault, Louis-Etienne; Bechmann, Andreas; Taryainen, Lasse

    2015-01-01

    and this information is required for each grid point in the three-dimensional computational domain. By using raw data from aerial LiDAR scans together with the Beer-Lambert law, we propose and test a method to calculate and grid highly variable and realistic frontal area density input. An extensive comparison...

  18. Effect of Tree Phenology on LiDAR Measurement of Mediterranean Forest Structure

    Directory of Open Access Journals (Sweden)

    William Simonson

    2018-04-01

    Full Text Available Retrieval of forest biophysical properties using airborne LiDAR is known to differ between leaf-on and leaf-off states of deciduous trees, but much less is understood about the within-season effects of leafing phenology. Here, we compare two LiDAR surveys separated by just six weeks in spring, in order to assess whether LiDAR variables were influenced by canopy changes in Mediterranean mixed-oak woodlands at this time of year. Maximum and, to a slightly lesser extent, mean heights were consistently measured, whether for the evergreen cork oak (Quercus suber or semi-deciduous Algerian oak (Q. canariensis woodlands. Estimates of the standard deviation and skewness of height differed more strongly, especially for Algerian oaks which experienced considerable leaf expansion in the time period covered. Our demonstration of which variables are more or less affected by spring-time leafing phenology has important implications for analyses of both canopy and sub-canopy vegetation layers from LiDAR surveys.

  19. Automatic extraction of pavement markings on streets from point cloud data of mobile LiDAR

    Science.gov (United States)

    Gao, Yang; Zhong, Ruofei; Tang, Tao; Wang, Liuzhao; Liu, Xianlin

    2017-08-01

    Pavement markings provide an important foundation as they help to keep roads users safe. Accurate and comprehensive information about pavement markings assists the road regulators and is useful in developing driverless technology. Mobile light detection and ranging (LiDAR) systems offer new opportunities to collect and process accurate pavement markings’ information. Mobile LiDAR systems can directly obtain the three-dimensional (3D) coordinates of an object, thus defining spatial data and the intensity of (3D) objects in a fast and efficient way. The RGB attribute information of data points can be obtained based on the panoramic camera in the system. In this paper, we present a novel method process to automatically extract pavement markings using multiple attribute information of the laser scanning point cloud from the mobile LiDAR data. This method process utilizes a differential grayscale of RGB color, laser pulse reflection intensity, and the differential intensity to identify and extract pavement markings. We utilized point cloud density to remove the noise and used morphological operations to eliminate the errors. In the application, we tested our method process on different sections of roads in Beijing, China, and Buffalo, NY, USA. The results indicated that both correctness (p) and completeness (r) were higher than 90%. The method process of this research can be applied to extract pavement markings from huge point cloud data produced by mobile LiDAR.

  20. Assessment of Ploidy and Genome Constitution of Some Musa balbisiana Cultivars using DArT Markers

    Czech Academy of Sciences Publication Activity Database

    Sales, E. K.; Butardo, N. G.; Paniagua, H. G.; Jansen, H.; Doležel, Jaroslav

    2011-01-01

    Roč. 36, č. 1 (2011), s. 11-18 ISSN 0115-463X Institutional research plan: CEZ:AV0Z50380511 Keywords : DArT * genome * Musa balbisiana Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 0.075, year: 2011 http://home.ueb.cas.cz/publikace/2011_Sales_PHILIPPINE_JOURNAL_OF_CROP_SCIENCE_11.pdf

  1. Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology.

    Science.gov (United States)

    Chase, Arlen F; Chase, Diane Z; Fisher, Christopher T; Leisz, Stephen J; Weishampel, John F

    2012-08-07

    The application of light detection and ranging (LiDAR), a laser-based remote-sensing technology that is capable of penetrating overlying vegetation and forest canopies, is generating a fundamental shift in Mesoamerican archaeology and has the potential to transform research in forested areas world-wide. Much as radiocarbon dating that half a century ago moved archaeology forward by grounding archaeological remains in time, LiDAR is proving to be a catalyst for an improved spatial understanding of the past. With LiDAR, ancient societies can be contextualized within a fully defined landscape. Interpretations about the scale and organization of densely forested sites no longer are constrained by sample size, as they were when mapping required laborious on-ground survey. The ability to articulate ancient landscapes fully permits a better understanding of the complexity of ancient Mesoamerican urbanism and also aids in modern conservation efforts. The importance of this geospatial innovation is demonstrated with newly acquired LiDAR data from the archaeological sites of Caracol, Cayo, Belize and Angamuco, Michoacán, Mexico. These data illustrate the potential of technology to act as a catalytic enabler of rapid transformational change in archaeological research and interpretation and also underscore the value of on-the-ground archaeological investigation in validating and contextualizing results.

  2. Generalised small signal analysis of a DAR /Double Avalanche Region/ IMPATT diode

    Science.gov (United States)

    Datta, D. N.; Pal, B. B.

    1982-06-01

    A generalized small signal analysis of a DAR IMPATT diode is carried out using recent values of ionization rates and saturated drift velocities of electrons and holes for Si and GaAs taking both the drift and the diffusion of charge carriers into account. The results show similar discrete negative conductance frequency bands separated by positive conductance frequency bands for an asymmetrical structure as in the ideal case (Som et al., 1974), establishing that the harmonically related frequencies can be avoided in the Si DAR IMPATT diode. In contrast to the ideal case, however, the symmetrical DAR IMPATT here also exhibits finite negative conductance. The GaAs DAR IMPATT shows variations of negative conductance that are similar to those in Si at high frequencies (in the mm wave range); at the low frequency side (less than 1 GHz), however, the IMPATT gives uniform negative conductances unlike Si where the negative conductance comes only at higher frequencies. Consideration is given in the calculations to thin depletion layers (0.8, 1, and 2 microns) to show the usefulness of the device in the mm wave range.

  3. 2006 Federal Emergency Management Agency (FEMA) Topographic LiDAR: Cumberland and York Counties, Maine

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In the fall of 2006, Sanborn Map Company was contracted by Camp Dresser McKee, Inc (CDM) to execute a LiDAR (Light Detection and Ranging) survey campaign in the...

  4. 2009 U.S. Geological Survey (USGS) Topographic LiDAR: Androscoggin County, Maine

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — USGS Contract Number: G10PC00026 USGS Task Order: G10PD01737 LiDAR was collected at a 1.0 points per square meter (1.0m GSD) for the county of Androscoggin, Maine...

  5. A comparison of two open source LiDAR surface classification algorithms

    Science.gov (United States)

    Wade T. Tinkham; Hongyu Huang; Alistair M.S. Smith; Rupesh Shrestha; Michael J. Falkowski; Andrew T. Hudak; Timothy E. Link; Nancy F. Glenn; Danny G. Marks

    2011-01-01

    With the progression of LiDAR (Light Detection and Ranging) towards a mainstream resource management tool, it has become necessary to understand how best to process and analyze the data. While most ground surface identification algorithms remain proprietary and have high purchase costs; a few are openly available, free to use, and are supported by published results....

  6. Line-Based Registration of Panoramic Images and LiDAR Point Clouds for Mobile Mapping

    Directory of Open Access Journals (Sweden)

    Tingting Cui

    2016-12-01

    Full Text Available For multi-sensor integrated systems, such as the mobile mapping system (MMS, data fusion at sensor-level, i.e., the 2D-3D registration between an optical camera and LiDAR, is a prerequisite for higher level fusion and further applications. This paper proposes a line-based registration method for panoramic images and a LiDAR point cloud collected by a MMS. We first introduce the system configuration and specification, including the coordinate systems of the MMS, the 3D LiDAR scanners, and the two panoramic camera models. We then establish the line-based transformation model for the panoramic camera. Finally, the proposed registration method is evaluated for two types of camera models by visual inspection and quantitative comparison. The results demonstrate that the line-based registration method can significantly improve the alignment of the panoramic image and the LiDAR datasets under either the ideal spherical or the rigorous panoramic camera model, with the latter being more reliable.

  7. Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR

    NARCIS (Netherlands)

    Calders, K.; Armston, J.; Newnham, G.; Herold, M.; Goodwin, N.

    2014-01-01

    The vertical distribution of plant constituents is a key parameter to describe vegetation structure and influences several processes, such as radiation interception, growth and habitat. Terrestrial laser scanning (TLS), also referred to as terrestrial LiDAR, has the potential to measure the canopy

  8. LiDAR Relative Reflectivity Surface (2011) for Fish Bay, St. John

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This image represents a LiDAR (Light Detection & Ranging) 0.3x0.3 meter resolution relative seafloor reflectivity surface for Fish Bay, St. John in the U.S....

  9. The Application of VaR Method to Risk Evaluation of Bank Loans%VaR方法在银行贷款风险评估中的应用

    Institute of Scientific and Technical Information of China (English)

    邹新月

    2005-01-01

    Value-at-Risk model developed recently is a mathemetical medol to measure and monitor market risk. The article focuses on discussing calculate procedure and calculate method about applying VaR means for the bank loan risk in evaluation, we make clear differentiate both the Bank for International Settlements draw credit risk reserve and VaR means calculate bank loan risk value, find VaR means in application practicality value and extensity perspective in our bank loan risk for evaluation

  10. Using Satellite and Airborne LiDAR to Model Woodpecker Habitat Occupancy at the Landscape Scale

    Science.gov (United States)

    Vierling, Lee A.; Vierling, Kerri T.; Adam, Patrick; Hudak, Andrew T.

    2013-01-01

    Incorporating vertical vegetation structure into models of animal distributions can improve understanding of the patterns and processes governing habitat selection. LiDAR can provide such structural information, but these data are typically collected via aircraft and thus are limited in spatial extent. Our objective was to explore the utility of satellite-based LiDAR data from the Geoscience Laser Altimeter System (GLAS) relative to airborne-based LiDAR to model the north Idaho breeding distribution of a forest-dependent ecosystem engineer, the Red-naped sapsucker (Sphyrapicus nuchalis). GLAS data occurred within ca. 64 m diameter ellipses spaced a minimum of 172 m apart, and all occupancy analyses were confined to this grain scale. Using a hierarchical approach, we modeled Red-naped sapsucker occupancy as a function of LiDAR metrics derived from both platforms. Occupancy models based on satellite data were weak, possibly because the data within the GLAS ellipse did not fully represent habitat characteristics important for this species. The most important structural variables influencing Red-naped Sapsucker breeding site selection based on airborne LiDAR data included foliage height diversity, the distance between major strata in the canopy vertical profile, and the vegetation density near the ground. These characteristics are consistent with the diversity of foraging activities exhibited by this species. To our knowledge, this study represents the first to examine the utility of satellite-based LiDAR to model animal distributions. The large area of each GLAS ellipse and the non-contiguous nature of GLAS data may pose significant challenges for wildlife distribution modeling; nevertheless these data can provide useful information on ecosystem vertical structure, particularly in areas of gentle terrain. Additional work is thus warranted to utilize LiDAR datasets collected from both airborne and past and future satellite platforms (e.g. GLAS, and the planned IceSAT2

  11. Application of LiDAR to hydrologic flux estimation in Australian eucalypt forests (Invited)

    Science.gov (United States)

    Lane, P. N.; Mitchell, P. J.; Jaskierniak, D.; Hawthorne, S. N.; Griebel, A.

    2013-12-01

    The potential of LiDAR in ecohydrology is significant as characterising catchment vegetation is crucial to accurate estimation of evapotranspiration (ET). While this may be done at large scales for model parameterisation, stand-scale applications are equally appropriate where traditional methods of measurement of LAI or sapwood areas are time consuming and reliant on assumptions of representative sampling. This is particularly challenging in mountain forests where aspect, soil properties and energy budgets can vary significantly, reflected in the vegetation or where there are changes in the spatial distribution of structural attributes following disturbance. Recent research has investigated the spatial distribution of ET in a eucalypt forest in SE Australia using plot-scale sapflow, interception and forest floor ET measurements. LiDAR was used scale up these measurements. LiDAR (0.16 m scanner footprint) canopy indices were correlated via stepwise regression with 4 water use scalars: basal area (BA), sapwood area (SA), leaf area index (LAI) and canopy coverage (C), with Hmed, Hmean, H80, H95 the best predictors. Combining these indices with empirical relationships between SA and BA, and SA and transpiration (T), and inventory plot 'ground truthing' transpiration was estimated across the 1.3 km2 catchment. Interception was scaled via the Gash model with LiDAR derived inputs. The up-scaling showed a significant variability in the spatial distribution of ET, related to the distribution of SA. The use of LiDAR meant scaling could be achieved at an appropriate spatial scale (20 x 20 m) to the measurements. The second example is the use of airborne LiDAR in developing growth forest models for hydrologic modeling. LiDAR indices were used to stratify multilayered forests using mixed-effect models with a wide range of theoretical distribution functions. When combined with historical plot-scale inventory data we show demonstrated improved growth modeling over traditional

  12. In aftermath of financial investigation Phoenix VA employee demoted after her testimony

    Directory of Open Access Journals (Sweden)

    Robbins RA

    2013-03-01

    Full Text Available No abstract available. Article truncated after 150 words. A previous Southwest Journal of Pulmonary and Critical Care Journal editorial commented on fiscal mismanagement at the Department of Veterans Affairs (VA Medical Center in Phoenix (1. Now Paula Pedene, the former Phoenix VA public affairs officer, claims she was demoted for testimony she gave to the VA Inspector General’s Office (OIG regarding that investigation (2. In 2011, the OIG investigated the Phoenix VA for excess spending on private care of patients (3. The report blamed systemic failures for controls so weak that $56 million in medical fees were paid during 2010 without adequate review. The report particularly focused on one clinician assigned by the Chief of Staff to review hundreds of requests per week and the intensive care unit physicians for transferring patients to chronic ventilator units (1,3. After the investigation, the director and one of the associate directors left the VA and the chief of staff was promoted …

  13. Value at risk (VaR in uncertainty: Analysis with parametric method and black & scholes simulations

    Directory of Open Access Journals (Sweden)

    Humberto Banda Ortiz

    2014-07-01

    Full Text Available VaR is the most accepted risk measure worldwide and the leading reference in any risk management assessment. However, its methodology has important limitations which makes it unreliable in contexts of crisis or high uncertainty. For this reason, the aim of this work is to test the VaR accuracy when is employed in contexts of volatility, for which we compare the VaR outcomes in scenarios of both stability and uncertainty, using the parametric method and a historical simulation based on data generated with the Black & Scholes model. VaR main objective is the prediction of the highest expected loss for any given portfolio, but even when it is considered a useful tool for risk management under conditions of markets stability, we found that it is substantially inaccurate in contexts of crisis or high uncertainty. In addition, we found that the Black & Scholes simulations lead to underestimate the expected losses, in comparison with the parametric method and we also found that those disparities increase substantially in times of crisis. In the first section of this work we present a brief context of risk management in finance. In section II we present the existent literature relative to the VaR concept, its methods and applications. In section III we describe the methodology and assumptions used in this work. Section IV is dedicated to expose the findings. And finally, in Section V we present our conclusions.

  14. Continuous-energy version of KENO V.a for criticality safety applications

    International Nuclear Information System (INIS)

    Dunn, Michael E.; Greene, N. Maurice; Petrie, Lester M.

    2003-01-01

    KENO V.a is a multigroup Monte Carlo code that solves the Boltzmann transport equation and is used extensively in the criticality safety community to calculate the effective multiplication factor of systems with fissionable material. In this work, a continuous-energy or pointwise version of KENO V.a has been developed by first designing a new continuous-energy cross-section format and then by developing the appropriate Monte Carlo transport procedures to sample the new cross-section format. In order to generate pointwise cross sections for a test library, a series of cross-section processing modules were developed and used to process 50 ENDF/B-6 Release 7 nuclides for the test library. Once the cross-section processing procedures were in place, a continuous-energy version of KENO V.a was developed and tested by calculating 21 critical benchmark experiments. The point KENO-calculated results for the 21 benchmarks are in agreement with calculated results obtained with the multigroup version of KENO V.a using the 238-group ENDF/B-5 and 199-group ENDF/B-6 Release 3 libraries. Based on the calculated results with the prototypic cross-section library, a continuous-energy version of the KENO V.a code has been successfully developed and demonstrated for modeling systems with fissionable material. (author)

  15. Effectiveness of Expanded Implementation of STAR-VA for Managing Dementia-Related Behaviors Among Veterans.

    Science.gov (United States)

    Karel, Michele J; Teri, Linda; McConnell, Eleanor; Visnic, Stephanie; Karlin, Bradley E

    2016-02-01

    Nonpharmacological, psychosocial approaches are first-line treatments for managing behavioral symptoms in dementia, but they can be challenging to implement in long-term care settings. The Veterans Health Administration implemented STAR-VA, an interdisciplinary behavioral approach for managing challenging dementia-related behaviors in its Community Living Center (CLCs, nursing home care) settings. This study describes how the program was implemented and provides an evaluation of Veteran clinical outcomes and staff feedback on the intervention. One mental health professional and registered nurse team from 17 CLCs completed STAR-VA training, which entailed an experiential workshop followed by 6 months of expert consultation as they worked with their teams to implement STAR-VA with Veterans identified to have challenging dementia-related behaviors. The frequency and severity of target behaviors and symptoms of depression, anxiety, and agitation were evaluated at baseline and at intervention completion. Staff provided feedback regarding STAR-VA feasibility and impact. Seventy-one Veterans completed the intervention. Behaviors clustered into 6 types: care refusal or resistance, agitation, aggression, vocalization, wandering, and other. Frequency and severity of target behaviors and symptoms of depression, anxiety, and agitation all significantly decreased, with overall effect sizes of 1 or greater. Staff rated both benefits for Veterans and program feasibility favorably. This evaluation supports the feasibility and effectiveness of STAR-VA, an interdisciplinary, behavioral intervention for managing challenging behaviors among residents with dementia in CLCs. Published by Oxford University Press on behalf of the Gerontological Society of America 2015.

  16. Isolation and characterization of specific bacteriophage Va1 to Vibrio alginolyticus

    Directory of Open Access Journals (Sweden)

    Carla Fernández Espinel

    2017-04-01

    Full Text Available Vibrio alginolyticus is associated with diseases in aquaculture. The misuse of antibiotics has led to the search for alternatives in the treatment of bacterial diseases, among them the application of bacteriophages that infect and destroy bacteria selectively. In this way, a highly lytic V. alginolyticus bacteriophage, termed Va1, was isolated, with the aim to evaluate its physical chemical parameters. For this purpose, different temperature, pH, chloroform exposure and host range conditions were evaluated. The temperature stability of phage Va1 showed higher titers at 20 and 30 °C decreasing from 40 °C. With respect to pH, the highest titers for the bacteriophage were between 5 and 8, and chloroform exposure reduced viability of the Va1 phage by 25%. The one-step curve determined that the latency period and the burst size were 20 minutes and 192 PFU / infective center respectively. Under the transmission electron microscope, the Va1 phage showed an icosahedral head and a non-contractile tail, belonging to the Podoviridae family. In conclusion, Va1 phage presents potential characteristics for use in phage therapy.

  17. Testing popular VaR models in EU new member and candidate states

    Directory of Open Access Journals (Sweden)

    Saša Žiković

    2007-12-01

    Full Text Available The impact of allowing banks to calculate their capital requirement based on their internal VaR models, and the impact of regulation changes on banks in transitional countries has not been well studied. This paper examines whether VaR models that are created and suited for developed markets apply to the volatile stock markets of EU new member and candidate states (Bulgaria, Romania, Croatia and Turkey. Nine popular VaR models are tested on five stock indexes from EU new member and candidate states. Backtesting results show that VaR models commonly used in developed stock markets are not well suited for measuring market risk in these markets. Presented findings bear very important implications that have to be addressed by regulators and risk practitioners operating in EU new member andcandidate states. Risk managers have to start thinking outside the frames set by their parent companies or else investors present in these markets may find themselves in serious trouble, dealing with losses that they have not been expecting. National regulators have to take into consideration that simplistic VaR models that are widely used in some developed countries are not well suited for these illiquid and developing stock markets.

  18. Cloning, Characterization, and Functional Investigation of VaHAESA from Vitis amurensis Inoculated with Plasmopara viticola

    Directory of Open Access Journals (Sweden)

    Shaoli Liu

    2018-04-01

    Full Text Available Plant pattern recognition receptors (PRRs are essential for immune responses and establishing symbiosis. Plants detect invaders via the recognition of pathogen-associated molecular patterns (PAMPs by PRRs. This phenomenon is termed PAMP-triggered immunity (PTI. We investigated disease resistance in Vitis amurensis to identify PRRs that are important for resistance against downy mildew, analyzed the PRRs that were upregulated by incompatible Plasmopara viticola infection, and cloned the full-length cDNA of the VaHAESA gene. We then analyzed the structure, subcellular localization, and relative disease resistance of VaHAESA. VaHAESA and PRR-receptor-like kinase 5 (RLK5 are highly similar, belonging to the leucine-rich repeat (LRR-RLK family and localizing to the plasma membrane. The expression of PRR genes changed after the inoculation of V. amurensis with compatible and incompatible P. viticola; during early disease development, transiently transformed V. vinifera plants expressing VaHAESA were more resistant to pathogens than those transformed with the empty vector and untransformed controls, potentially due to increased H2O2, NO, and callose levels in the transformants. Furthermore, transgenic Arabidopsis thaliana showed upregulated expression of genes related to the PTI pathway and improved disease resistance. These results show that VaHAESA is a positive regulator of resistance against downy mildew in grapevines.

  19. Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR

    Directory of Open Access Journals (Sweden)

    Vincenzo Giannico

    2016-04-01

    Full Text Available Assessing forest stand conditions in urban and peri-urban areas is essential to support ecosystem service planning and management, as most of the ecosystem services provided are a consequence of forest stand characteristics. However, collecting data for assessing forest stand conditions is time consuming and labor intensive. A plausible approach for addressing this issue is to establish a relationship between in situ measurements of stand characteristics and data from airborne laser scanning (LiDAR. In this study we assessed forest stand volume and above-ground biomass (AGB in a broadleaved urban forest, using a combination of LiDAR-derived metrics, which takes the form of a forest allometric model. We tested various methods for extracting proxies of basal area (BA and mean stand height (H from the LiDAR point-cloud distribution and evaluated the performance of different models in estimating forest stand volume and AGB. The best predictors for both models were the scale parameters of the Weibull distribution of all returns (except the first (proxy of BA and the 95th percentile of the distribution of all first returns (proxy of H. The R2 were 0.81 (p < 0.01 for the stand volume model and 0.77 (p < 0.01 for the AGB model with a RMSE of 23.66 m3·ha−1 (23.3% and 19.59 Mg·ha−1 (23.9%, respectively. We found that a combination of two LiDAR-derived variables (i.e., proxy of BA and proxy of H, which take the form of a forest allometric model, can be used to estimate stand volume and above-ground biomass in broadleaved urban forest areas. Our results can be compared to other studies conducted using LiDAR in broadleaved forests with similar methods.

  20. Development and mapping of DArT markers within the Festuca - Lolium complex

    Directory of Open Access Journals (Sweden)

    Studer Bruno

    2009-10-01

    Full Text Available Abstract Background Grasses are among the most important and widely cultivated plants on Earth. They provide high quality fodder for livestock, are used for turf and amenity purposes, and play a fundamental role in environment protection. Among cultivated grasses, species within the Festuca-Lolium complex predominate, especially in temperate regions. To facilitate high-throughput genome profiling and genetic mapping within the complex, we have developed a Diversity Arrays Technology (DArT array for five grass species: F. pratensis, F. arundinacea, F. glaucescens, L. perenne and L. multiflorum. Results The DArTFest array contains 7680 probes derived from methyl-filtered genomic representations. In a first marker discovery experiment performed on 40 genotypes from each species (with the exception of F. glaucescens for which only 7 genotypes were used, we identified 3884 polymorphic markers. The number of DArT markers identified in every single genotype varied from 821 to 1852. To test the usefulness of DArTFest array for physical mapping, DArT markers were assigned to each of the seven chromosomes of F. pratensis using single chromosome substitution lines while recombinants of F. pratensis chromosome 3 were used to allocate the markers to seven chromosome bins. Conclusion The resources developed in this project will facilitate the development of genetic maps in Festuca and Lolium, the analysis on genetic diversity, and the monitoring of the genomic constitution of the Festuca × Lolium hybrids. They will also enable marker-assisted selection for multiple traits or for specific genome regions.

  1. BUILDING DAMAGE ASSESSMENT AFTER EARTHQUAKE USING POST-EVENT LiDAR DATA

    Directory of Open Access Journals (Sweden)

    H. Rastiveis

    2015-12-01

    Full Text Available After an earthquake, damage assessment plays an important role in leading rescue team to help people and decrease the number of mortality. Damage map is a map that demonstrates collapsed buildings with their degree of damage. With this map, finding destructive buildings can be quickly possible. In this paper, we propose an algorithm for automatic damage map generation after an earthquake using post-event LiDAR Data and pre-event vector map. The framework of the proposed approach has four main steps. To find the location of all buildings on LiDAR data, in the first step, LiDAR data and vector map are registered by using a few number of ground control points. Then, building layer, selected from vector map, are mapped on the LiDAR data and all pixels which belong to the buildings are extracted. After that, through a powerful classifier all the extracted pixels are classified into three classes of “debris”, “intact building” and “unclassified”. Since textural information make better difference between “debris” and “intact building” classes, different textural features are applied during the classification. After that, damage degree for each candidate building is estimated based on the relation between the numbers of pixels labelled as “debris” class to the whole building area. Calculating the damage degree for each candidate building, finally, building damage map is generated. To evaluate the ability proposed method in generating damage map, a data set from Port-au-Prince, Haiti’s capital after the 2010 Haiti earthquake was used. In this case, after calculating of all buildings in the test area using the proposed method, the results were compared to the damage degree which estimated through visual interpretation of post-event satellite image. Obtained results were proved the reliability of the proposed method in damage map generation using LiDAR data.

  2. Object-oriented identification of forested landslides with derivatives of single pulse LiDAR data

    Science.gov (United States)

    Van Den Eeckhaut, Miet; Kerle, Norman; Poesen, Jean; Hervás, Javier

    2012-11-01

    In contrast to the many studies that use expert-based analysis of LiDAR derivatives for landslide mapping in forested terrain, only few studies have attempted to develop (semi-)automatic methods for extracting landslides from LiDAR derivatives. While all these studies are pixel-based, it has not yet been tested whether object-oriented analysis (OOA) could be an alternative. This study investigates the potential of OOA using only single-pulse LiDAR derivatives, such as slope gradient, roughness and curvature to map landslides. More specifically, the focus is on both LiDAR data segmentation and classification of slow-moving landslides in densely vegetated areas, where spectral data do not allow accurate landslide identification. A multistage procedure has been developed and tested in the Flemish Ardennes (Belgium). The procedure consists of (1) image binarization and multiresolution segmentation, (2) classification of landslide parts (main scarps and landslide body segments) and non-landslide features (i.e. earth banks and cropland fields) with supervised support vector machines at the appropriate scale, (3) delineation of landslide flanks, (4) growing of a landslide body starting from its main scarp, and (5) final cleaning of the inventory map. The results obtained show that OOA using LiDAR derivatives allows recognition and characterization of profound morphologic properties of forested deep-seated landslides on soil-covered hillslopes, because more than 90% of the main scarps and 70% of the landslide bodies of an expert-based inventory were accurately identified with OOA. For mountainous areas with bedrock, on the other hand, creation of a transferable model is expected to be more difficult.

  3. Applying a weighted random forests method to extract karst sinkholes from LiDAR data

    Science.gov (United States)

    Zhu, Junfeng; Pierskalla, William P.

    2016-02-01

    Detailed mapping of sinkholes provides critical information for mitigating sinkhole hazards and understanding groundwater and surface water interactions in karst terrains. LiDAR (Light Detection and Ranging) measures the earth's surface in high-resolution and high-density and has shown great potentials to drastically improve locating and delineating sinkholes. However, processing LiDAR data to extract sinkholes requires separating sinkholes from other depressions, which can be laborious because of the sheer number of the depressions commonly generated from LiDAR data. In this study, we applied the random forests, a machine learning method, to automatically separate sinkholes from other depressions in a karst region in central Kentucky. The sinkhole-extraction random forest was grown on a training dataset built from an area where LiDAR-derived depressions were manually classified through a visual inspection and field verification process. Based on the geometry of depressions, as well as natural and human factors related to sinkholes, 11 parameters were selected as predictive variables to form the dataset. Because the training dataset was imbalanced with the majority of depressions being non-sinkholes, a weighted random forests method was used to improve the accuracy of predicting sinkholes. The weighted random forest achieved an average accuracy of 89.95% for the training dataset, demonstrating that the random forest can be an effective sinkhole classifier. Testing of the random forest in another area, however, resulted in moderate success with an average accuracy rate of 73.96%. This study suggests that an automatic sinkhole extraction procedure like the random forest classifier can significantly reduce time and labor costs and makes its more tractable to map sinkholes using LiDAR data for large areas. However, the random forests method cannot totally replace manual procedures, such as visual inspection and field verification.

  4. A DArT marker genetic map of perennial ryegrass (Lolium perenne L.) integrated with detailed comparative mapping information; comparison with existing DArT marker genetic maps of Lolium perenne, L. multiflorum and Festuca pratensis.

    Science.gov (United States)

    King, Julie; Thomas, Ann; James, Caron; King, Ian; Armstead, Ian

    2013-07-03

    Ryegrasses and fescues (genera, Lolium and Festuca) are species of forage and turf grasses which are used widely in agricultural and amenity situations. They are classified within the sub-family Pooideae and so are closely related to Brachypodium distachyon, wheat, barley, rye and oats. Recently, a DArT array has been developed which can be used in generating marker and mapping information for ryegrasses and fescues. This represents a potential common marker set for ryegrass and fescue researchers which can be linked through to comparative genomic information for the grasses. A F2 perennial ryegrass genetic map was developed consisting of 7 linkage groups defined by 1316 markers and deriving a total map length of 683 cM. The marker set included 866 DArT and 315 gene sequence-based markers. Comparison with previous DArT mapping studies in perennial and Italian ryegrass (L. multiflorum) identified 87 and 105 DArT markers in common, respectively, of which 94% and 87% mapped to homoeologous linkage groups. A similar comparison with meadow fescue (F. pratensis) identified only 28 DArT markers in common, of which c. 50% mapped to non-homoelogous linkage groups. In L. perenne, the genetic distance spanned by the DArT markers encompassed the majority of the regions that could be described in terms of comparative genomic relationships with rice, Brachypodium distachyon, and Sorghum bicolor. DArT markers are likely to be a useful common marker resource for ryegrasses and fescues, though the success in aligning different populations through the mapping of common markers will be influenced by degrees of population interrelatedness. The detailed mapping of DArT and gene-based markers in this study potentially allows comparative relationships to be derived in future mapping populations characterised using solely DArT markers.

  5. Military and Veteran Support: DOD and VA Programs That Address the Effects of Combat and Transition to Civilian Life

    Science.gov (United States)

    2014-11-01

    servicemembers to civilian life. For its part, VA’s agency priority goals are to (1) ensure access to VA benefits and services, (2) eliminate the disability...transfer their benefits to dependents. VA – Veterans Benefit Administration ( VBA ) Spinal Cord Injury and Disorders Centers Disability; Physical...who are temporarily residing in a home owned by a family member to help adapt the home to meet his or her special needs. VA - VBA Yellow Ribbon

  6. 48 CFR 852.219-72 - Evaluation factor for participation in the VA mentor-protégé program.

    Science.gov (United States)

    2010-10-01

    ... participation in the VA mentor-protégé program. 852.219-72 Section 852.219-72 Federal Acquisition Regulations... Texts of Provisions and Clauses 852.219-72 Evaluation factor for participation in the VA mentor-protégé... the VA Mentor-Protégé Program (DEC2009) This solicitation contains an evaluation factor or sub-factor...

  7. Computing Conditional VaR using Time-varying CopulasComputing Conditional VaR using Time-varying Copulas

    Directory of Open Access Journals (Sweden)

    Beatriz Vaz de Melo Mendes

    2005-12-01

    Full Text Available It is now widespread the use of Value-at-Risk (VaR as a canonical measure at risk. Most accurate VaR measures make use of some volatility model such as GARCH-type models. However, the pattern of volatility dynamic of a portfolio follows from the (univariate behavior of the risk assets, as well as from the type and strength of the associations among them. Moreover, the dependence structure among the components may change conditionally t past observations. Some papers have attempted to model this characteristic by assuming a multivariate GARCH model, or by considering the conditional correlation coefficient, or by incorporating some possibility for switches in regimes. In this paper we address this problem using time-varying copulas. Our modeling strategy allows for the margins to follow some FIGARCH type model while the copula dependence structure changes over time.

  8. Development and validation of the Dimensional Anhedonia Rating Scale (DARS) in a community sample and individuals with major depression.

    Science.gov (United States)

    Rizvi, Sakina J; Quilty, Lena C; Sproule, Beth A; Cyriac, Anna; Michael Bagby, R; Kennedy, Sidney H

    2015-09-30

    Anhedonia, a core symptom of Major Depressive Disorder (MDD), is predictive of antidepressant non-response. In contrast to the definition of anhedonia as a "loss of pleasure", neuropsychological studies provide evidence for multiple facets of hedonic function. The aim of the current study was to develop and validate the Dimensional Anhedonia Rating Scale (DARS), a dynamic scale that measures desire, motivation, effort and consummatory pleasure across hedonic domains. Following item selection procedures and reliability testing using data from community participants (N=229) (Study 1), the 17-item scale was validated in an online study with community participants (N=150) (Study 2). The DARS was also validated in unipolar or bipolar depressed patients (n=52) and controls (n=50) (Study 3). Principal components analysis of the 17-item DARS revealed a 4-component structure mapping onto the domains of anhedonia: hobbies, food/drink, social activities, and sensory experience. Reliability of the DARS subscales was high across studies (Cronbach's α=0.75-0.92). The DARS also demonstrated good convergent and divergent validity. Hierarchical regression analysis revealed the DARS showed additional utility over the Snaith-Hamilton Pleasure Scale (SHAPS) in predicting reward function and distinguishing MDD subgroups. These studies provide support for the reliability and validity of the DARS. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  9. LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter.

    Science.gov (United States)

    Liu, Wanli

    2017-03-08

    The time delay calibration between Light Detection and Ranging (LiDAR) and Inertial Measurement Units (IMUs) is an essential prerequisite for its applications. However, the correspondences between LiDAR and IMU measurements are usually unknown, and thus cannot be computed directly for the time delay calibration. In order to solve the problem of LiDAR-IMU time delay calibration, this paper presents a fusion method based on iterative closest point (ICP) and iterated sigma point Kalman filter (ISPKF), which combines the advantages of ICP and ISPKF. The ICP algorithm can precisely determine the unknown transformation between LiDAR-IMU; and the ISPKF algorithm can optimally estimate the time delay calibration parameters. First of all, the coordinate transformation from the LiDAR frame to the IMU frame is realized. Second, the measurement model and time delay error model of LiDAR and IMU are established. Third, the methodology of the ICP and ISPKF procedure is presented for LiDAR-IMU time delay calibration. Experimental results are presented that validate the proposed method and demonstrate the time delay error can be accurately calibrated.

  10. Improving low-relief coastal LiDAR DEMs with hydro-conditioning of fine-scale and artificial drainages

    Directory of Open Access Journals (Sweden)

    Thomas Richard Allen

    2015-11-01

    Full Text Available Improvements in Light Detection and Ranging (LiDAR technology and spatial analysis of high-resolution digital elevation models (DEMs have advanced the accuracy and diversity of applications for coastal hazards and natural resources management. This article presents a concise synthesis of LiDAR analysis for coastal flooding and management applications in low-relief coastal plains and a case study demonstration of a new, efficient drainage mapping algorithm. The impetus for these LiDAR applications follows historic flooding from Hurricane Floyd in 1999, after which the State of North Carolina and the Federal Emergency Management Agency undertook extensive LiDAR data acquisition and technological developments for high-resolution floodplain mapping. An efficient algorithm is outlined for hydro-conditioning bare earth LiDAR DEMs using available US Geological Survey National Hydrography Dataset canal and ditch vectors. The methodology is illustrated in Moyock, North Carolina, for refinement of hydro-conditioning by combines pre-existing bare earth DEMs with spatial analysis of LiDAR point clouds in segmented and buffered ditch and canal networks. The methodology produces improved maps of fine-scale drainage, reduced omission of areal flood inundation, and subwatershed delineations that typify heavily ditched and canalled drainage areas. These preliminary results illustrate the capability of the technique to improve the representation of ditches in DEMs as well as subsequent flow and inundation modeling that could spur further research on low-relief coastal LiDAR applications.

  11. Darüşşifas Where Music Threapy was Practiced During Anatolian Seljuks and Ottomans

    Directory of Open Access Journals (Sweden)

    Gülşen Erdal

    2013-03-01

    Full Text Available AbstractMusic therapy, one of the oldest treatment methods known, dates back to thousands of years. Turks’ using music therapy practices in hospitals -Ottoman and Seljuk hospitals- built with appropriate acoustic in the treatment of mental disorders, utilizing the books which included the researches done by scientists such as İbni Sina, Razî, Farabî, Hasan Şuurî and in Gevrekzade Hasan Efendi in music therapy and improving music therapy practices exemplarily in the period of Ottomans and Seljukians is assessed as the first serious music therapy practices. Darüşşifa is one of the names given to medical and educational establishments which give people health service depending on practice and observation and treated patients in Turkish and Islamic world. Turks started various reconstruction activities following their settlement in Anatolia. Within a short period, they built several types of artifacts such as; caravansaries, madrasahs, mosques, darüşşifas. In Seljukian and Ottoman darüşşifas, medical subjects were taught according to researches and scientific principals, and surgeons were educated at medical madrasahs as well. Medical health care service was provided in those places. In this study, of darüşşifas where music therapy was practised the ones surviving today and having importance have been analyzed so as to emphasize how curative power of art history and music was used by Turkish people centuries ago. From this point of view, Kayseri Gevher Nesibe Tıp Medresesi (Medical madrasah (1206, Divriği Ulu Camii ve Darüşşifası (Mosque and Hospital (1228, Amasya Darüşşifası (1309, Fatih Darüşşifası (1470 Edirne Sultan II. Bayezid Darüşşifası (1488, Süleymaniye Tıp Medresesi and Şifahanesi (Medical Madrasah and Hospital (1556 have been examined in this study as the featured ones among the institutions where music therapy was practised.ÖzetMüziğin insanlar üzerinde bıraktığı psikolojik ve fiziksel etki

  12. VA Dental Insurance Program--federalism. Direct final rule; confirmation of effective date.

    Science.gov (United States)

    2014-03-20

    The Department of Veterans Affairs (VA) published a direct final rule in the Federal Register on October 22, 2013, amending its regulations related to the VA Dental Insurance Program (VADIP), a pilot program to offer premium-based dental insurance to enrolled veterans and certain survivors and dependents of veterans. Specifically, this rule adds language to clarify the limited preemptive effect of certain criteria in the VADIP regulations. VA received no comments concerning this rule or its companion substantially identical proposed rule published in the Federal Register on October 23, 2013. This document confirms that the direct final rule became effective on December 23, 2013. In a companion document in this issue of the Federal Register, we are withdrawing as unnecessary the proposed rule.

  13. LIFE JOURNEY: MEDICAL AND SCIENTIFIC WORK OF PROFESSOR V.A. SOKOLOV

    Directory of Open Access Journals (Sweden)

    P. A. Ivanov

    2017-01-01

    Full Text Available The article is dedicated to doctor of medicine, professor V.A. Sokolov. In 2017 he celebrates his eightieth birthday. Professor V.A. .Sokolov is one of the founders of polytrauma treatment in USSR and Russia. For a long time he had been heading polytrauma department at the N.V. Sklifosovsky Research Institute for Emergency Medicine. Due to his work, algorithms of life sustaining and recovery of serious patients were developed. Professor V.A. Sokolov is the author of 6 monographies and about 300 periodical papers. Besides, he is the holder of 32 patents. Some of his inventions were popularized and manufactured. He had been leading active scientific work, which resulted in 6 doctoral dissertations and 15 candidate theses. The staff of N.V. Sklifosovsky Research Institute for Emergency Medicine congratulates on the anniversary.

  14. Waves from the Sun: to the 100th anniversary of V.A. Troitskaya's birth

    Science.gov (United States)

    Guglielmi, Anatol; Potapov, Alexander

    2017-09-01

    It has been one hundred years since the birth of the outstanding scientist Professor V.A. Troitskaya. Her remarkable achievements in solar-terrestrial physics are widely known. For many years, Valeria A. Troitskaya was the President of the International Association of Geomagnetism and Aeronomy. This article deals with only one aspect of the multifaceted creative activity of V.A. Troitskaya. It relates to the problem of sources of ultra-low frequency (ULF) electromagnetic oscillations and waves outside Earth’s magnetosphere. We were fortunate to work under the leadership of V.A. Troitskaya on this problem. In this paper, we briefly describe the history from the emergence of the idea of the extramagnetospheric origin of dayside permanent ULF oscillations in the late 1960s to the modern quest made by ground and satellite means for ULF waves excited by solar surface oscillations propagating in the interplanetary medium and reaching Earth.

  15. The Burr X Pareto Distribution: Properties, Applications and VaR Estimation

    Directory of Open Access Journals (Sweden)

    Mustafa Ç. Korkmaz

    2017-12-01

    Full Text Available In this paper, a new three-parameter Pareto distribution is introduced and studied. We discuss various mathematical and statistical properties of the new model. Some estimation methods of the model parameters are performed. Moreover, the peaks-over-threshold method is used to estimate Value-at-Risk (VaR by means of the proposed distribution. We compare the distribution with a few other models to show its versatility in modelling data with heavy tails. VaR estimation with the Burr X Pareto distribution is presented using time series data, and the new model could be considered as an alternative VaR model against the generalized Pareto model for financial institutions.

  16. EFFECTS OF VARIOUS SOIL ENVIRONMENTAL STRESSES ON THE OCCURRENCE, DISTRIBUTION AND EFFECTIVENESS OF VA MYCORRHIZAE

    Directory of Open Access Journals (Sweden)

    A.G. KHAN

    1995-01-01

    Full Text Available The vesicular - arbuscular (VA mycorrhizal fungi are geographically ubiquitous soil inhabitants and form universal symbiotic relationship with plants from every phylum. These fungi link host plants with host soils and their biota in the mycorrhizosphere and play an important role in plant health, productivity and soil structure. Although VA mycorrhizal fungi do not show any host specificity, there is increasing evidence that various climatic and edaphic environmental factors such as land use and management practices, physical, chemical and biological properties of host soils and host plant characteristics influence their occurrence, taxonomic distribution and effectiveness. The interaction of these factors with vesicular-arbuscular mycorrhizae (VAM is poorly understood except in a few cases. It is now very clear that VA mycorrhizal associations are ecologically significant factors that require more attention than previously accorded. This paper discusses the occurrence, distribution and significance of VAM in environmentally stressed soil conditions that limit plant growth such as drought, waterlogging and salinity.

  17. Poincare group, SU(3) and V-A in leptonic decay

    International Nuclear Information System (INIS)

    Boehm, A.

    1975-07-01

    From as few assumptions as possible about the relations between the Poincare group, the particle classifying SU(3) and V-A we derive properties of the K/sub l 3 / and K/sub L 2 / decays. From the assumed relation between SU(3) and the Poincare group and the first class condition it follows that the formfactor ratio Xi of K/sub l 3 / decay is Xi = --0.57, and that a value of Xi = 0 is in disagreement with very general and well accepted theoretical assumptions. Assuming universality of V-A, the Cabibbo suppression is derived from the relations between SU(3) and V-A as a consequence of the brokenness of SU(3). (U.S.)

  18. VA Disability Compensation and Money Spent on Substance Use Among Homeless Veterans: A Controversial Association.

    Science.gov (United States)

    Tsai, Jack; Rosenheck, Robert A

    2015-06-01

    There has long been concern that public support payments are used to support addictive behaviors. This study examined the amount of money homeless veterans spend on alcohol and drugs and the association between public support income, including VA disability compensation, and expenditures on alcohol and drugs. Data were from 1,160 veterans from 19 sites on entry into the Housing and Urban Development-Veterans Affairs Supportive Housing program. Descriptive statistics and nonparametric analyses were conducted. About 33% of veterans reported spending money on alcohol and 22% reported spending money on drugs in the past month. No significant association was found between public support income, VA disability compensation, and money spent on alcohol and drugs. A substantial proportion of homeless veterans spend some income on alcohol and drugs, but disability income, including VA compensation, does not seem to be related to substance use or money spent on addictive substances.

  19. Information Technology: DOD and VA Have Increased Their Sharing of Health Information, but Further Actions Are Needed

    National Research Council Canada - National Science Library

    Melvin, Valerie C

    2008-01-01

    ...) and the Department of Veterans Affairs (VA) to accelerate the exchange of health information between the departments and to develop systems or capabilities that allow for full interoperability...

  20. Rapid, high-resolution measurement of leaf area and leaf orientation using terrestrial LiDAR scanning data

    International Nuclear Information System (INIS)

    Bailey, Brian N; Mahaffee, Walter F

    2017-01-01

    The rapid evolution of high performance computing technology has allowed for the development of extremely detailed models of the urban and natural environment. Although models can now represent sub-meter-scale variability in environmental geometry, model users are often unable to specify the geometry of real domains at this scale given available measurements. An emerging technology in this field has been the use of terrestrial LiDAR scanning data to rapidly measure the three-dimensional geometry of trees, such as the distribution of leaf area. However, current LiDAR methods suffer from the limitation that they require detailed knowledge of leaf orientation in order to translate projected leaf area into actual leaf area. Common methods for measuring leaf orientation are often tedious or inaccurate, which places constraints on the LiDAR measurement technique. This work presents a new method to simultaneously measure leaf orientation and leaf area within an arbitrarily defined volume using terrestrial LiDAR data. The novelty of the method lies in the direct measurement of the fraction of projected leaf area G from the LiDAR data which is required to relate projected leaf area to total leaf area, and in the new way in which radiation transfer theory is used to calculate leaf area from the LiDAR data. The method was validated by comparing LiDAR-measured leaf area to (1) ‘synthetic’ or computer-generated LiDAR data where the exact area was known, and (2) direct measurements of leaf area in the field using destructive sampling. Overall, agreement between the LiDAR and reference measurements was very good, showing a normalized root-mean-squared-error of about 15% for the synthetic tests, and 13% in the field. (paper)

  1. Malaria epidemiology in the Pakaanóva (Wari') Indians, Brazilian Amazon.

    Science.gov (United States)

    Sá, D Ribeiro; Souza-Santos, R; Escobar, A L; Coimbra, C E A

    2005-04-01

    This paper reports the results of a longitudinal study of malaria incidence (1998-2002) among the Pakaanóva (Wari') Indians, Brazilian southwest Amazon region, based on data routinely gathered by Brazilian National Health Foundation outposts network in conjunction with the Indian health service. Malaria is present yearlong in the Pakaanóva. Statistically significant differences between seasons or months were not noticed. A total of 1933 cases of malaria were diagnosed in the Pakaanóva during this period. The P. vivax / P. falciparum ratio was 3.4. P. vivax accounted for 76.5% of the cases. Infections with P. malariae were not recorded. Incidence rates did not differ by sex. Most malaria cases were reported in children < 10 years old (45%). About one fourth of all cases were diagnosed on women 10-40 years old. An entomological survey carried out at two Pakaanóva villages yielded a total of 3.232 specimens of anophelines. Anopheles darlingi predominated (94.4%). Most specimens were captured outdoors and peak activity hours were noted at early evening and just before sunrise. It was observed that Pakaanóva cultural practices may facilitate outdoor exposure of individuals of both sexes and all age groups during peak hours of mosquito activities (e.g., coming to the river early in the morning for bathing or to draw water, fishing, engaging in hunting camps, etc). In a context in which anophelines are ubiquitous and predominantly exophilic, and humans of both sexes and all ages are prone to outdoor activities during peak mosquito activity hours, malaria is likely to remain endemic in the Pakaanóva, thus requiring the development of alternative control strategies that are culturally and ecologically sensitive.

  2. BMP-2 Overexpression Augments Vascular Smooth Muscle Cell Motility by Upregulating Myosin Va via Erk Signaling

    Directory of Open Access Journals (Sweden)

    Ming Zhang

    2014-01-01

    Full Text Available Background. The disruption of physiologic vascular smooth muscle cell (VSMC migration initiates atherosclerosis development. The biochemical mechanisms leading to dysfunctional VSMC motility remain unknown. Recently, cytokine BMP-2 has been implicated in various vascular physiologic and pathologic processes. However, whether BMP-2 has any effect upon VSMC motility, or by what manner, has never been investigated. Methods. VSMCs were adenovirally transfected to genetically overexpress BMP-2. VSMC motility was detected by modified Boyden chamber assay, confocal time-lapse video assay, and a colony wounding assay. Gene chip array and RT-PCR were employed to identify genes potentially regulated by BMP-2. Western blot and real-time PCR detected the expression of myosin Va and the phosphorylation of extracellular signal-regulated kinases 1/2 (Erk1/2. Immunofluorescence analysis revealed myosin Va expression locale. Intracellular Ca2+ oscillations were recorded. Results. VSMC migration was augmented in VSMCs overexpressing BMP-2 in a dose-dependent manner. siRNA-mediated knockdown of myosin Va inhibited VSMC motility. Both myosin Va mRNA and protein expression significantly increased after BMP-2 administration and were inhibited by Erk1/2 inhibitor U0126. BMP-2 induced Ca2+ oscillations, generated largely by a “cytosolic oscillator”. Conclusion. BMP-2 significantly increased VSMCs migration and myosin Va expression, via the Erk signaling pathway and intracellular Ca2+ oscillations. We provide additional insight into the pathophysiology of atherosclerosis, and inhibition of BMP-2-induced myosin Va expression may represent a potential therapeutic strategy.

  3. Validity testing and neuropsychology practice in the VA healthcare system: results from recent practitioner survey (.).

    Science.gov (United States)

    Young, J Christopher; Roper, Brad L; Arentsen, Timothy J

    2016-05-01

    A survey of neuropsychologists in the Veterans Health Administration examined symptom/performance validity test (SPVT) practices and estimated base rates for patient response bias. Invitations were emailed to 387 psychologists employed within the Veterans Affairs (VA), identified as likely practicing neuropsychologists, resulting in 172 respondents (44.4% response rate). Practice areas varied, with 72% at least partially practicing in general neuropsychology clinics and 43% conducting VA disability exams. Mean estimated failure rates were 23.0% for clinical outpatient, 12.9% for inpatient, and 39.4% for disability exams. Failure rates were the highest for mTBI and PTSD referrals. Failure rates were positively correlated with the number of cases seen and frequency and number of SPVT use. Respondents disagreed regarding whether one (45%) or two (47%) failures are required to establish patient response bias, with those administering more measures employing the more stringent criterion. Frequency of the use of specific SPVTs is reported. Base rate estimates for SPVT failure in VA disability exams are comparable to those in other medicolegal settings. However, failure in routine clinical exams is much higher in the VA than in other settings, possibly reflecting the hybrid nature of the VA's role in both healthcare and disability determination. Generally speaking, VA neuropsychologists use SPVTs frequently and eschew pejorative terms to describe their failure. Practitioners who require only one SPVT failure to establish response bias may overclassify patients. Those who use few or no SPVTs may fail to identify response bias. Additional clinical and theoretical implications are discussed.

  4. Kritika važećeg i prijedlog novog pravnog uređenja vađenja i uklanjanja podrtina i potonulih stvari

    Directory of Open Access Journals (Sweden)

    Vesna Skorupan Wolff

    2012-12-01

    Full Text Available Glavni cilj rada je ponuditi i prikazati rješenja koja predstavljaju prijedlog novog pravnog uređenja instituta vađenja i uklanjanja podrtina i potonulih stvari. Prije toga, autorice u radu prikazuju genezu pravnih izvora u povijesti i ranijem domaćem zakonodavstvu te proučavaju sva relevantna pitanja i sve odredbe važećeg Pomorskog zakonika (u nastavku PZ o ovoj materiji. Analizira se značenje i uporaba pojedinih izraza, sistematizacija zakonske građe unutar strukture zakona te sadržaj i domašaj pojedinih odredbi. Autorice preispituju razinu usklađenosti pozitivnog PZ-a sa suvremenom međunarodnom regulativom u ovom području. Ukazuje se na važne probleme koji mogu nastati zbog manjkavosti odredbi pozitivnog PZ-a i nepostojanja sustavne regulacije svih relevantnih pitanja koja se mogu pojaviti u praksi. U okviru istraživanja provodi se i poredbena analiza ovih instituta u drugim nacionalnim zakonodavstvima. Predložena zakonska rješenja odlikuju se cjelovitošću i sustavnošću u normiranju svih relevantnih pitanja. Uređivanje ovih instituta specijalnim odredbama pružit će viši stupanj pravne sigurnosti te viši stupanj sigurnosti plovidbe Jadranom, zaštite okoliša, njegovih prirodnih bogatstava i drugih povezanih interesa.

  5. Multi-component wind measurements of wind turbine wakes performed with three LiDARs

    Science.gov (United States)

    Iungo, G. V.; Wu, Y.-T.; Porté-Agel, F.

    2012-04-01

    Field measurements of the wake flow produced from the interaction between atmospheric boundary layer and a wind turbine are performed with three wind LiDARs. The tested wind turbine is a 2 MW Enercon E-70 located in Collonges, Switzerland. First, accuracy of mean values and frequency resolution of the wind measurements are surveyed as a function of the number of laser rays emitted for each measurement. Indeed, measurements performed with one single ray allow maximizing sampling frequency, thus characterizing wake turbulence. On the other hand, if the number of emitted rays is increased accuracy of mean wind is increased due to the longer sampling period. Subsequently, two-dimensional measurements with a single LiDAR are carried out over vertical sections of the wind turbine wake and mean wake flow is obtained by averaging 2D measurements consecutively performed. The high spatial resolution of the used LiDAR allows characterizing in details velocity defect present in the central part of the wake and its downstream recovery. Single LiDAR measurements are also performed by staring the laser beam at fixed directions for a sampling period of about ten minutes and maximizing the sampling frequency in order to characterize wake turbulence. From these tests wind fluctuation peaks are detected in the wind turbine wake at blade top-tip height for different downstream locations. The magnitude of these turbulence peaks is generally reduced by moving downstream. This increased turbulence level at blade top-tip height observed for a real wind turbine has been already detected from previous wind tunnel tests and Large Eddy simulations, thus confirming the presence of a source of dangerous fatigue loads for following wind turbines within a wind farm. Furthermore, the proper characterization of wind fluctuations through LiDAR measurements is proved by the detection of the inertial subrange from spectral analysis of these velocity signals. Finally, simultaneous measurements with two

  6. Quantifying spatial distribution of snow depth errors from LiDAR using Random Forests

    Science.gov (United States)

    Tinkham, W.; Smith, A. M.; Marshall, H.; Link, T. E.; Falkowski, M. J.; Winstral, A. H.

    2013-12-01

    There is increasing need to characterize the distribution of snow in complex terrain using remote sensing approaches, especially in isolated mountainous regions that are often water-limited, the principal source of terrestrial freshwater, and sensitive to climatic shifts and variations. We apply intensive topographic surveys, multi-temporal LiDAR, and Random Forest modeling to quantify snow volume and characterize associated errors across seven land cover types in a semi-arid mountainous catchment at a 1 and 4 m spatial resolution. The LiDAR-based estimates of both snow-off surface topology and snow depths were validated against ground-based measurements across the catchment. Comparison of LiDAR-derived snow depths to manual snow depth surveys revealed that LiDAR based estimates were more accurate in areas of low lying vegetation such as shrubs (RMSE = 0.14 m) as compared to areas consisting of tree cover (RMSE = 0.20-0.35 m). The highest errors were found along the edge of conifer forests (RMSE = 0.35 m), however a second conifer transect outside the catchment had much lower errors (RMSE = 0.21 m). This difference is attributed to the wind exposure of the first site that led to highly variable snow depths at short spatial distances. The Random Forest modeled errors deviated from the field measured errors with a RMSE of 0.09-0.34 m across the different cover types. Results show that snow drifts, which are important for maintaining spring and summer stream flows and establishing and sustaining water-limited plant species, contained 30 × 5-6% of the snow volume while only occupying 10% of the catchment area similar to findings by prior physically-based modeling approaches. This study demonstrates the potential utility of combining multi-temporal LiDAR with Random Forest modeling to quantify the distribution of snow depth with a reasonable degree of accuracy. Future work could explore the utility of Terrestrial LiDAR Scanners to produce validation of snow-on surface

  7. Modelling vertical error in LiDAR-derived digital elevation models

    Science.gov (United States)

    Aguilar, Fernando J.; Mills, Jon P.; Delgado, Jorge; Aguilar, Manuel A.; Negreiros, J. G.; Pérez, José L.

    2010-01-01

    A hybrid theoretical-empirical model has been developed for modelling the error in LiDAR-derived digital elevation models (DEMs) of non-open terrain. The theoretical component seeks to model the propagation of the sample data error (SDE), i.e. the error from light detection and ranging (LiDAR) data capture of ground sampled points in open terrain, towards interpolated points. The interpolation methods used for infilling gaps may produce a non-negligible error that is referred to as gridding error. In this case, interpolation is performed using an inverse distance weighting (IDW) method with the local support of the five closest neighbours, although it would be possible to utilize other interpolation methods. The empirical component refers to what is known as "information loss". This is the error purely due to modelling the continuous terrain surface from only a discrete number of points plus the error arising from the interpolation process. The SDE must be previously calculated from a suitable number of check points located in open terrain and assumes that the LiDAR point density was sufficiently high to neglect the gridding error. For model calibration, data for 29 study sites, 200×200 m in size, belonging to different areas around Almeria province, south-east Spain, were acquired by means of stereo photogrammetric methods. The developed methodology was validated against two different LiDAR datasets. The first dataset used was an Ordnance Survey (OS) LiDAR survey carried out over a region of Bristol in the UK. The second dataset was an area located at Gador mountain range, south of Almería province, Spain. Both terrain slope and sampling density were incorporated in the empirical component through the calibration phase, resulting in a very good agreement between predicted and observed data (R2 = 0.9856 ; p reasonably good fit to the predicted errors. Even better results were achieved in the more rugged morphology of the Gador mountain range dataset. The findings

  8. 2007 Oregon Department of Geology and Mineral Industries (DoGAMI) LiDAR: Northwest Oregon and Portland Metro Area

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data for the Oregon Department of Geology and Mineral Industries (DoGAMI) and the Oregon...

  9. IsoDAR@KamLAND: A Conceptual Design Report for the Technical Facility

    CERN Document Server

    Abs, M; Alonso, J R; Axani, S; Barletta, W A; Barlow, R; Bartoszek, L; Bungau, A; Calabretta, L; Calanna, A; Campo, D; Castro, G; Celona, L; Collin, G H; Conrad, J M; Gammino, S; Johnson, R; Karagiorgi, G; Kayser, S; Kleeven, W; Kolano, A; Labrecque, F; Loinaz, W A; Minervini, J; Moulai, M H; Okuno, H; Owen, H; Papavassiliou, V; Shaevitz, M H; Shimizu, I; Shokair, T M; Sorensen, K F; Spitz, J; Toups, M; Vagins, M; Van Bibber, K; Wascko, M O; Winklehner, D; Winslow, L A; Yang, J J

    2015-01-01

    This conceptual design report describes the technical facility for the IsoDAR electron-antineutrino source at KamLAND. The IsoDAR source will allow an impressive program of neutrino oscillation and electroweak physics to be performed at KamLAND. This report provides information on the physics case, the conceptual design for the subsystems, alternative designs considered, specifics of installation at KamLAND, and identified needs for future development. We discuss the risks we have identified and our approach to mitigating those risks with this design. A substantial portion of the conceptual design is based on three years of experimental efforts and on industry experience. This report also includes information on the conventional facilities.

  10. Wind Predictions Upstream Wind Turbines from a LiDAR Database

    Directory of Open Access Journals (Sweden)

    Soledad Le Clainche

    2018-03-01

    Full Text Available This article presents a new method to predict the wind velocity upstream a horizontal axis wind turbine from a set of light detection and ranging (LiDAR measurements. The method uses higher order dynamic mode decomposition (HODMD to construct a reduced order model (ROM that can be extrapolated in space. LiDAR measurements have been carried out upstream a wind turbine at six different planes perpendicular to the wind turbine axis. This new HODMD-based ROM predicts with high accuracy the wind velocity during a timespan of 24 h in a plane of measurements that is more than 225 m far away from the wind turbine. Moreover, the technique introduced is general and obtained with an almost negligible computational cost. This fact makes it possible to extend its application to both vertical axis wind turbines and real-time operation.

  11. Automated Extraction of 3D Trees from Mobile LiDAR Point Clouds

    Directory of Open Access Journals (Sweden)

    Y. Yu

    2014-06-01

    Full Text Available This paper presents an automated algorithm for extracting 3D trees directly from 3D mobile light detection and ranging (LiDAR data. To reduce both computational and spatial complexities, ground points are first filtered out from a raw 3D point cloud via blockbased elevation filtering. Off-ground points are then grouped into clusters representing individual objects through Euclidean distance clustering and voxel-based normalized cut segmentation. Finally, a model-driven method is proposed to achieve the extraction of 3D trees based on a pairwise 3D shape descriptor. The proposed algorithm is tested using a set of mobile LiDAR point clouds acquired by a RIEGL VMX-450 system. The results demonstrate the feasibility and effectiveness of the proposed algorithm.

  12. Comparative study of building footprint estimation methods from LiDAR point clouds

    Science.gov (United States)

    Rozas, E.; Rivera, F. F.; Cabaleiro, J. C.; Pena, T. F.; Vilariño, D. L.

    2017-10-01

    Building area calculation from LiDAR points is still a difficult task with no clear solution. Their different characteristics, such as shape or size, have made the process too complex to automate. However, several algorithms and techniques have been used in order to obtain an approximated hull. 3D-building reconstruction or urban planning are examples of important applications that benefit of accurate building footprint estimations. In this paper, we have carried out a study of accuracy in the estimation of the footprint of buildings from LiDAR points. The analysis focuses on the processing steps following the object recognition and classification, assuming that labeling of building points have been previously performed. Then, we perform an in-depth analysis of the influence of the point density over the accuracy of the building area estimation. In addition, a set of buildings with different size and shape were manually classified, in such a way that they can be used as benchmark.

  13. High resolution, topobathymetric LiDAR coastal zone characterization in Denmark

    DEFF Research Database (Denmark)

    Steinbacher, Frank; Baran, Ramona; Andersen, Mikkel S.

    2016-01-01

    Coastal and tidal environments are valuable ecosystems, which, however, are under pressure in many areas around the world due to globalization and/or climate change. Detailed mapping of these environments is required in order to manage the coastal zone in a sustainable way. However, historically...... locations with different environmental settings. We demonstrate the potential of using airborne topobathymetric LiDAR for seamless mapping of land-water transition zones in challenging coastal environments, e.g. in an environment with high water column turbidity and continuously varying water levels due...... these transition zones between land and water are difficult or even impossible to map and investigate in high spatial resolution due to the challenging environmental conditions. The new generation of airborne topobathymetric light detection and ranging (LiDAR) potentially enables full-coverage and high...

  14. Remote measurement of surface roughness, surface reflectance, and body reflectance with LiDAR.

    Science.gov (United States)

    Li, Xiaolu; Liang, Yu

    2015-10-20

    Light detection and ranging (LiDAR) intensity data are attracting increasing attention because of the great potential for use of such data in a variety of remote sensing applications. To fully investigate the data potential for target classification and identification, we carried out a series of experiments with typical urban building materials and employed our reconstructed built-in-lab LiDAR system. Received intensity data were analyzed on the basis of the derived bidirectional reflectance distribution function (BRDF) model and the established integration method. With an improved fitting algorithm, parameters involved in the BRDF model can be obtained to depict the surface characteristics. One of these parameters related to surface roughness was converted to a most used roughness parameter, the arithmetical mean deviation of the roughness profile (Ra), which can be used to validate the feasibility of the BRDF model in surface characterizations and performance evaluations.

  15. 78 FR 44881 - Drawbridge Operation Regulation; York River, Between Yorktown and Gloucester Point, VA

    Science.gov (United States)

    2013-07-25

    ... deviation from the operating schedule that governs the operation of the Coleman Memorial Bridge (US 17/George P. Coleman Memorial Swing Bridge) across the York River, mile 7.0, between Gloucester Point and Yorktown, VA. This deviation is necessary to facilitate maintenance work on the moveable spans on the...

  16. 77 FR 76451 - Designation for the West Sacramento, CA; Frankfort, IN; and Richmond, VA Areas.

    Science.gov (United States)

    2012-12-28

    ... DEPARTMENT OF AGRICULTURE Grain Inspection, Packers and Stockyards Administration Designation for the West Sacramento, CA; Frankfort, IN; and Richmond, VA Areas. AGENCY: Grain Inspection, Packers and...-Agri West Sacramento, CA(916) 374-9700.. 1/1/2013 12/31/2015 Frankfort Frankfort, IN(765) 258-3624...

  17. Comparison of historically simulated VaR: Evidence from oil prices

    Energy Technology Data Exchange (ETDEWEB)

    Costello, Alexandra [Seminole Canada Energy, Calgary, AB (Canada); Asem, Ebenezer; Gardner, Eldon [Faculty of Management, University of Lethbridge, Lethbridge, AB (Canada)

    2008-09-15

    Cabedo and Moya [Cabedo, J.D., Moya, I., 2003. Estimating oil price 'Value at Risk' using the historical simulation approach. Energy Economics 25, 239-253] find that ARMA with historical simulation delivers VaR forecasts that are superior to those from GARCH. We compare the ARMA with historical simulation to the semi-parametric GARCH model proposed by Barone-Adesi et al. [Barone-Adesi, G., Giannopoulos, K., Vosper, L., 1999. VaR without correlations for portfolios of derivative securities. Journal of Futures Markets 19 (5), 583-602]. The results suggest that the semi-parametric GARCH model generates VaR forecasts that are superior to the VaR forecasts from the ARMA with historical simulation. This is due to the fact that GARCH captures volatility clustering. Our findings suggest that Cabedo and Moya's conclusion is mainly driven by the normal distributional assumption imposed on the future risk structure in the GARCH model. (author)

  18. 77 FR 6587 - Startek USA, Inc. Alexandria, LA; Startek USA, Inc., Collinsville, VA; Amended Certification...

    Science.gov (United States)

    2012-02-08

    ... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-75,089; TA-W-75,089A] Startek USA, Inc. Alexandria, LA; Startek USA, Inc., Collinsville, VA; Amended Certification Regarding Eligibility... for Worker Adjustment Assistance on January 26, 2011, applicable to workers of StarTek USA, Inc...

  19. Choosing Expected Shortfall Over VaR in Basel III Using Stochastic Dominance

    NARCIS (Netherlands)

    C-L. Chang (Chia-Lin); J.A. Jiménez-Martín (Juan-Ángel); E. Maasoumi (Esfandiar); M.J. McAleer (Michael); T. Pérez-Amaral (Teodosio)

    2016-01-01

    textabstractWe compare Value at Risk (VaR) and Expected Shortfall (ES) following a Stochastic Dominance (SD) approach frequently used to order distributions in terms of welfare and in portfolio selection. Basel Committee on Banking Supervision (BCBS) recommends bank risk managers to shift the

  20. 76 FR 34248 - Equestrian Stables at Meadowood Special Recreation Management Area, VA; Information Sharing Meeting

    Science.gov (United States)

    2011-06-13

    ...), located in Lorton, VA, and collect comments, suggestions and ideas from the public pertaining to the... individual during normal business hours. The FIRS is available 24 hours a day, 7 days a week, to leave a message or question with the above individual. You will receive a reply during normal business hours...

  1. Le CERN va devoir supprimer quelques 600 postes d'ici a 2007

    CERN Multimedia

    2002-01-01

    "Le Laboratoire europeen pour la physique des particules (CERN) qui procede actuellement a la construction du LHC (Large Hadron Collider) , le plus grand accelerateur de particules du monde, va devoir supprimer, comme cela avait ete evoque en juin, quelques 600 postes d'ici a 2007" (1 paragraph).

  2. Le CERN va supprimer 600 postes d'ici a 2007

    CERN Multimedia

    2002-01-01

    "Le Laboratoire europeen pour la physique des particules (CERN), qui doit economiser quelque 340 millions d'euros jusqu'en 2008, va reduire ses effectifs de 600 postes d'ici a 2007, a annonce jeudi son porte-parole, James Gillies" (1/2/ page).

  3. 75 FR 60171 - Proposed Information Collection (Credit Underwriting Standards and Procedures for Processing VA...

    Science.gov (United States)

    2010-09-29

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0521] Proposed Information Collection (Credit Underwriting Standards and Procedures for Processing VA Guaranteed Loans) Activity: Comment Request AGENCY... comment on the proposed collection of certain information by the agency. Under the Paperwork Reduction Act...

  4. 78 FR 60379 - Proposed Information Collection (Credit Underwriting Standards and Procedures for Processing VA...

    Science.gov (United States)

    2013-10-01

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0521] Proposed Information Collection (Credit Underwriting Standards and Procedures for Processing VA Guaranteed Loans) Activity: Comment Request AGENCY... comment on the proposed collection of certain information by the agency. Under the Paperwork Reduction Act...

  5. 75 FR 76082 - Agency Information Collection (Credit Underwriting Standards and Procedures for Processing VA...

    Science.gov (United States)

    2010-12-07

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0521] Agency Information Collection (Credit Underwriting Standards and Procedures for Processing VA Guaranteed Loans) Activity Under OMB Review AGENCY... information abstracted below to the Office of Management and Budget (OMB) for review and comment. The PRA...

  6. 76 FR 48204 - Fund Availability Under VA's Homeless Providers Grant and Per Diem Program

    Science.gov (United States)

    2011-08-08

    ... programs addressing emotional, social, spiritual, and generative needs. Terminally Ill (1) Help... optimize reintegration such as life-skills education, recreational activities, and follow up case..., and medication education. Through this NOFA, VA seeks to renew the FY 2009 previous grant and per diem...

  7. 75 FR 52989 - Specialty Minerals, Inc., Franklin, VA; Notice of Negative Determination Regarding Application...

    Science.gov (United States)

    2010-08-30

    ... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-74,057] Specialty Minerals, Inc., Franklin, VA; Notice of Negative Determination Regarding Application for Reconsideration By applications dated July 9, 2010 and July 16, 2010 (filed by a company official and a worker, respectively...

  8. 77 FR 70805 - Presquile National Wildlife Refuge, Chesterfield County, VA; Final Comprehensive Conservation...

    Science.gov (United States)

    2012-11-27

    .... Mail: Andy Hofmann, Project Leader, Eastern Virginia Rivers NWR Complex, U.S. Fish and Wildlife Service, P.O. Box 1030, 335 Wilna Road, Warsaw, VA 22572. Fax: Attention: Andy Hofmann, 804-333-1470. In-Person Viewing or Pickup: Call Andy Hofmann, Project Leader, at 804-333-1470 extension 112 during regular...

  9. VA Health Care: Processes to Evaluate, Implement, and Monitor Organizational Structure Changes Needed

    Science.gov (United States)

    2016-09-01

    their families , such as medallions and markers for headstones that signify veterans’ service. Page 3 GAO-16-803 VHA Organizational ... Research Oversight, and Chief Nursing Page 8 GAO-16-803 VHA Organizational Structure Officer. Also, the Chief Financial Officer and...VA HEALTH CARE Processes to Evaluate, Implement, and Monitor Organizational Structure Changes Needed Report to

  10. Non-intubated recovery from refractory cardiogenic shock on percutaneous VA-extracorporeal membrane oxygenation

    NARCIS (Netherlands)

    van Houte, J; Donker, D W; Wagenaar, L J; Slootweg, A P; Kirkels, J H; van Dijk, D

    We report on the use of percutaneous femoral veno-arterial extracorporeal membrane oxygenation (VA-ECMO) in a fully awake, non-intubated and spontaneously breathing patient suffering from acute, severe and refractory cardiogenic shock due to a (sub)acute anterior myocardial infarction. Intensified

  11. 38 CFR 74.25 - What types of personally identifiable information will VA collect?

    Science.gov (United States)

    2010-07-01

    ... DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) VETERANS SMALL BUSINESS REGULATIONS Records Management § 74.25 What types of personally identifiable information will VA collect? In order to establish owner... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false What types of personally...

  12. 77 FR 1716 - James River National Wildlife Refuge, Prince George County, VA

    Science.gov (United States)

    2012-01-11

    ... River National Wildlife Refuge, Prince George County, VA AGENCY: Fish and Wildlife Service, Interior... (the refuge, NWR), which is located in Prince George County, Virginia. We provide this notice in... River NWR, in Prince George County, Virginia. This notice complies with our CCP policy to advise other...

  13. Intra-Operative Indocyanine Green-Videoangiography (ICG-VA) in ...

    African Journals Online (AJOL)

    Methods: Fifteen consecutive patients with anterior circulation aneurysms who underwent craniotomy and clipping of the aneurysms were included in this study. Intraoperative ICG-VA was performed in all cases after exposure of the aneurysm and the branches in the vicinity of the aneurysm or the parent vessel before ...

  14. 76 FR 582 - Elizabeth Hartwell Mason Neck National Wildlife Refuge, Fairfax County, VA, and Featherstone...

    Science.gov (United States)

    2011-01-05

    ...] Elizabeth Hartwell Mason Neck National Wildlife Refuge, Fairfax County, VA, and Featherstone National... comprehensive conservation plan and the environmental assessment (CCP/EA) for Elizabeth Hartwell Mason Neck (Mason Neck) National Wildlife Refuge (NWR) and Featherstone NWR for a 45-day public review and comment...

  15. 76 FR 59153 - Elizabeth Hartwell Mason Neck National Wildlife Refuge, Fairfax County, VA, and Featherstone...

    Science.gov (United States)

    2011-09-23

    ...] Elizabeth Hartwell Mason Neck National Wildlife Refuge, Fairfax County, VA, and Featherstone National... plan (CCP) and finding of no significant impact (FONSI) for Elizabeth Hartwell Mason Neck (Mason Neck...: Download a copy of the document at http://www.fws.gov/northeast/planning/MasonNeck_Featherstone/ccphome...

  16. 33 CFR 80.505 - Cape Henlopen, DE to Cape Charles, VA.

    Science.gov (United States)

    2010-07-01

    ... to Cape Charles, VA. (a) A line drawn from the seaward extremity of Indian River Inlet North Jetty to Indian River Inlet South Jetty Light. (b) A line drawn from Ocean City Inlet Light 6, 225° true across... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Cape Henlopen, DE to Cape Charles...

  17. 78 FR 27882 - VA Veteran-Owned Small Business (VOSB) Verification Guidelines

    Science.gov (United States)

    2013-05-13

    ... Verification Self-Assessment Tool that walks the veteran through the regulation and how it applies to the...) Verification Guidelines AGENCY: Department of Veterans Affairs. ACTION: Advanced notice of proposed rulemaking... regulations governing the Department of Veterans Affairs (VA) Veteran-Owned Small Business (VOSB) Verification...

  18. 75 FR 28295 - Parkdale Mills (Formerly Hanesbrands, Inc.) Galax, VA; Notice of Affirmative Determination...

    Science.gov (United States)

    2010-05-20

    ... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-72,695] Parkdale Mills (Formerly Hanesbrands, Inc.) Galax, VA; Notice of Affirmative Determination Regarding Application for Reconsideration By application dated February 2, 2010, petitioners requested administrative reconsideration of the negative...

  19. 77 FR 19975 - VA Acquisition Regulation: Simplified Acquisition Procedures for Health-Care Resources (Section...

    Science.gov (United States)

    2012-04-03

    ... to which technology, economic conditions, or other factors have changed in the area affected by the... comments on factors described in the Supplementary Information. DATES: Comments must be received by VA on... (003A2A), Office of Acquisition, Logistics and Construction, Department of Veterans Affairs, 810 Vermont...

  20. The VA and VCD spectra of various isotopomers of L-alanine in aqueous solution

    DEFF Research Database (Denmark)

    Abdali, Salim; Jalkanen, Karl J.; Bohr, Henrik

    2002-01-01

    Density functional theory (DFT) at the Becke 3LYP level has been used to calculate the vibrational absorption (VA) and vibrational circular dichroism (VCD) spectra of various deuterated species Of L-alanine. The effect of replacing the methine hydrogen, CH1, the methyl group, CH3, and both...

  1. 77 FR 70708 - VA Acquisition Regulation: Electronic Submission of Payment Requests

    Science.gov (United States)

    2012-11-27

    ... electronic data interchange (EDI) formats; or (3) another electronic form as prescribed by the contract....fsc.va.gov/einvoice.asp .); or, (b) A system that conforms to the X12 electronic data interchange (EDI... Institute (ANSI). The X12 EDI Web site ( http://www.x12.org ) includes additional information on EDI 810 and...

  2. Study of cancer cell lines with Fourier transform infrared (FTIR)/vibrational absorption (VA) spectroscopy

    DEFF Research Database (Denmark)

    Uceda Otero, E. P.; Eliel, G. S. N.; Fonseca, E. J. S.

    2013-01-01

    In this work we have used Fourier transform infrared (FTIR) / vibrational absorption (VA) spectroscopy to study two cancer cell lines: the Henrietta Lacks (HeLa) human cervix carcinoma and 5637 human bladder carcinoma cell lines. Our goal is to experimentally investigate biochemical changes...

  3. Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance

    NARCIS (Netherlands)

    C-L. Chang (Chia-Lin); J.A. Jiménez-Martín (Juan-Ángel); E. Maasoumi (Esfandiar); M.J. McAleer (Michael)

    2015-01-01

    textabstractBank risk managers follow the Basel Committee on Banking Supervision (BCBS) recommendations that recently proposed shifting the quantitative risk metrics system from Value-at-Risk (VaR) to Expected Shortfall (ES). The Basel Committee on Banking Supervision (2013, p. 3) noted that: “a

  4. 76 FR 70345 - Drawbridge Operation Regulations; Elizabeth River, Eastern Branch, Norfolk, VA

    Science.gov (United States)

    2011-11-14

    ... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 117 [Docket No. USCG-2011-1022] Drawbridge Operation Regulations; Elizabeth River, Eastern Branch, Norfolk, VA AGENCY: Coast Guard, DHS. ACTION: Notice... periodic maintenance. The Norfolk Southern 5 Bridge, at mile 1.1, across the Elizabeth River (Eastern...

  5. Forecasting VaR and ES of stock index portfolio: A Vine copula method

    Science.gov (United States)

    Zhang, Bangzheng; Wei, Yu; Yu, Jiang; Lai, Xiaodong; Peng, Zhenfeng

    2014-12-01

    Risk measurement has both theoretical and practical significance in risk management. Using daily sample of 10 international stock indices, firstly this paper models the internal structures among different stock markets with C-Vine, D-Vine and R-Vine copula models. Secondly, the Value-at-Risk (VaR) and Expected Shortfall (ES) of the international stock markets portfolio are forecasted using Monte Carlo method based on the estimated dependence of different Vine copulas. Finally, the accuracy of VaR and ES measurements obtained from different statistical models are evaluated by UC, IND, CC and Posterior analysis. The empirical results show that the VaR forecasts at the quantile levels of 0.9, 0.95, 0.975 and 0.99 with three kinds of Vine copula models are sufficiently accurate. Several traditional methods, such as historical simulation, mean-variance and DCC-GARCH models, fail to pass the CC backtesting. The Vine copula methods can accurately forecast the ES of the portfolio on the base of VaR measurement, and D-Vine copula model is superior to other Vine copulas.

  6. VA Health Care: Improved Monitoring Needed for Effective Oversight of Care for Women Veterans

    Science.gov (United States)

    2016-12-01

    Congressional Requesters December 2016 GAO-17-52 United States Government Accountability Office United States Government Accountability Office...VHA officials said not all facilities require onsite gynecologists and facilities may authorize gynecological services from non-VA providers. They...including previously closed combat positions, which could contribute to the increase in the women veteran population. See GAO, Military Personnel: DOD Is

  7. 76 FR 26607 - Safety Zone; Air Power Over Hampton Roads, Back River, Hampton, VA

    Science.gov (United States)

    2011-05-09

    ...-AA00 Safety Zone; Air Power Over Hampton Roads, Back River, Hampton, VA AGENCY: Coast Guard, DHS... the safety of life on navigable waters during the Air Power Over Hampton Roads Air Show. This action... Division Chief, Sector Hampton Roads, Coast Guard; telephone 757-668- 5581, e-mail [email protected

  8. 77 FR 33089 - OPSAIL 2012 Virginia, Port of Hampton Roads, VA

    Science.gov (United States)

    2012-06-05

    ...] RIN 1625-AA00, AA08, AA11 OPSAIL 2012 Virginia, Port of Hampton Roads, VA AGENCY: Coast Guard, DHS... of Hampton Roads, Virginia for Operation Sail (OPSAIL) 2012 Virginia activities. This regulation is..., Hampton Roads, the James River and Elizabeth River. DATES: This rule is effective from June 6, 2012 to...

  9. 77 FR 19957 - OPSAIL 2012 Virginia, Port of Hampton Roads, VA

    Science.gov (United States)

    2012-04-03

    ...-0174] RIN 1625-AA00, AA01, AA08, AA11, AA87 OPSAIL 2012 Virginia, Port of Hampton Roads, VA AGENCY... temporary regulations in the Port of Hampton Roads, Virginia for Operation Sail (OPSAIL) 2012 Virginia... portions of Chesapeake Bay, Hampton Roads, the James River and Elizabeth River. DATES: Comments and related...

  10. 75 FR 30782 - Reorganization/Expansion of Foreign-Trade Zone 20; Hampton Roads, VA, Area

    Science.gov (United States)

    2010-06-02

    ... DEPARTMENT OF COMMERCE Foreign-Trade Zones Board [Order No. 1683] Reorganization/Expansion of Foreign-Trade Zone 20; Hampton Roads, VA, Area Pursuant to its authority under the Foreign-Trade Zones Act...) in the Hampton Roads, Virginia, area within the Norfolk Customs and Border Protection port of entry...

  11. 76 FR 44279 - Radio Broadcasting Services; Clinchco, VA, and Coal Run, KY

    Science.gov (United States)

    2011-07-25

    ...] Radio Broadcasting Services; Clinchco, VA, and Coal Run, KY AGENCY: Federal Communications Commission... Station WPKE-FM, Coal Run Kentucky, from Channel 276A to Channel 221C3. DATES: Effective August 1, 2011... 221C3 at Coal Run, Kentucky, are 37-23-57 NL and 82-23-42 WL, and for Channel 276A at Clinchco, Virginia...

  12. 38 CFR 17.96 - Medication prescribed by non-VA physicians.

    Science.gov (United States)

    2010-07-01

    ... AFFAIRS MEDICAL Outpatient Treatment § 17.96 Medication prescribed by non-VA physicians. Any prescription... and medicines ordered by a private or non-Department of Veterans Affairs doctor of medicine or doctor of osteopathy duly licensed to practice in the jurisdiction where the prescription is written, shall...

  13. 38 CFR 17.1000 - Payment or reimbursement for emergency services for nonservice-connected conditions in non-VA...

    Science.gov (United States)

    2010-07-01

    ... for emergency services for nonservice-connected conditions in non-VA facilities. 17.1000 Section 17.1000 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Payment Or Reimbursement for Emergency Services for Nonservice-Connected Conditions in Non-Va Facilities § 17.1000 Payment...

  14. 75 FR 44720 - Safety Zone; Live-Fire Gun Exercise, M/V Del Monte, James River, VA

    Science.gov (United States)

    2010-07-29

    ... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 165 [Docket No. USCG-2010-0585] RIN 1625-AA00 Safety Zone; Live-Fire Gun Exercise, M/V Del Monte, James River, VA AGENCY: Coast Guard, DHS... follows: Sec. 165.T05-0585 Safety Zone; Live-Fire Gun Exercise, M/V Del Monte, James River, VA (a...

  15. A configurational and conformational study of aframodial and its diasteriomers via experimental and theoretical VA and VCD spectroscopies

    DEFF Research Database (Denmark)

    Jalkanen, Karl J.; Gale, J.D.; Lassen, Peter Rygaard

    2008-01-01

    In this work we present the experimental and theoretical vibrational absorption (VA) and the theoretical vibrational circular dichroism (VCD) spectra for aframodial. In addition, we present the theoretical VA and VCD spectra for the diasteriomers of aframodial. Aframodial has four chiral centers ...

  16. 76 FR 44086 - Agency Information Collection (Notice of Waiver of VA Compensation or Pension To Receive Military...

    Science.gov (United States)

    2011-07-22

    ... number of days equal to the number of days in which they received training pay. An agency may not conduct... of Waiver of VA Compensation or Pension To Receive Military Pay and Allowances) Activity Under OMB....'' SUPPLEMENTARY INFORMATION: Title: Notice of Waiver of VA Compensation or Pension to Receive Military Pay and...

  17. True Orthophoto Generation from Aerial Frame Images and LiDAR Data: An Update

    Directory of Open Access Journals (Sweden)

    Hamid Gharibi

    2018-04-01

    Full Text Available Image spectral and Light Detection and Ranging (LiDAR positional information can be related through the orthophoto generation process. Orthophotos have a uniform scale and represent all objects in their correct planimetric locations. However, orthophotos generated using conventional methods suffer from an artifact known as the double-mapping effect that occurs in areas occluded by tall objects. The double-mapping problem can be resolved through the commonly known true orthophoto generation procedure, in which an occlusion detection process is incorporated. This paper presents a review of occlusion detection methods, from which three techniques are compared and analyzed using experimental results. The paper also describes a framework for true orthophoto production based on an angle-based occlusion detection method. To improve the performance of the angle-based technique, two modifications to this method are introduced. These modifications, which aim at resolving false visibilities reported within the angle-based occlusion detection process, are referred to as occlusion extension and radial section overlap. A weighted averaging approach is also proposed to mitigate the seamline effect and spectral dissimilarity that may appear in true orthophoto mosaics. Moreover, true orthophotos generated from high-resolution aerial images and high-density LiDAR data using the updated version of angle-based methodology are illustrated for two urban study areas. To investigate the potential of image matching techniques in producing true orthophotos and point clouds, a comparison between the LiDAR-based and image-matching-based true orthophotos and digital surface models (DSMs for an urban study area is also presented in this paper. Among the investigated occlusion detection methods, the angle-based technique demonstrated a better performance in terms of output and running time. The LiDAR-based true orthophotos and DSMs showed higher qualities compared to their

  18. Intestinal Parasitic Infections in Bahir Dar and Risk Factors for Transmission

    OpenAIRE

    Erko, Berhanu; Medhin, Girmay; Birrie, Hailu

    1995-01-01

    A study of intestinal parasites and assessment of transmission factors were made in Bahir Dar town, northwestern Ethiopia. Out of 528 children examined by formolether concentration method over 95 % were found to harbour one or more intestinal parasites. Human behaviour and poor sanitary conditions appeared to be responsible for the transmission of geohelminths, faeco-orally transmitted amoebae and water-related schistosome parasites. Health education is suggested to play a vital role in the c...

  19. LiDAR Scan Matching Aided Inertial Navigation System in GNSS-Denied Environments

    OpenAIRE

    Tang, Jian; Chen, Yuwei; Niu, Xiaoji; Wang, Li; Chen, Liang; Liu, Jingbin; Shi, Chuang; Hyyppä, Juha

    2015-01-01

    A new scan that matches an aided Inertial Navigation System (INS) with a low-cost LiDAR is proposed as an alternative to GNSS-based navigation systems in GNSS-degraded or -denied environments such as indoor areas, dense forests, or urban canyons. In these areas, INS-based Dead Reckoning (DR) and Simultaneous Localization and Mapping (SLAM) technologies are normally used to estimate positions as separate tools. However, there are critical implementation problems with each standalone system. Th...

  20. Flying Under the LiDAR: Relating Forest Structure to Bat Community Diversity

    Science.gov (United States)

    Swanson, A. C.; Weishampel, J. F.

    2015-12-01

    Bats are important to many ecological processes such as pollination, insect (and by proxy, disease) control, and seed dispersal and can be used to monitor ecosystem health. However, they are facing unprecedented extinction risks from habitat degradation as well as pressures from pathogens (e.g., white-nose syndrome) and wind turbines. LiDAR allows ecologists to measure structural variables of forested landscapes with increased precision and accuracy at broader spatial scales than previously possible. This study used airborne LiDAR to classify forest habitat/canopy structure at the Ordway-Swisher Biological Station (OSBS) in north central Florida. LiDAR data were acquired by the NEON airborne observation platform in summer 2014. OSBS consists of open-canopy pine savannas, closed-canopy hardwood hammocks, and seasonally wet prairies. Multiple forest structural parameters (e.g., mean, maximum, and standard deviation of height returns) were derived from LiDAR point clouds using the USDA software program FUSION. K-means clustering was used to segregate each 5x5 m raster across the ~3765 ha OSBS area into six different clusters based on the derived canopy metrics. Cluster averages for maximum, mean, and standard deviation of return heights ranged from 0 to 19.4 m, 0 to 15.3 m, and 0 to 3.0 m, respectively. To determine the relationships among these landscape-canopy features and bat species diversity and abundances, AnaBat II bat detectors were deployed from May to September in 2015 stratified by these distinct clusters. Bat calls were recorded from sunset to sunrise during each sampling period. Species were identified using AnalookW. A statistical regression model selection approach was performed in order to evaluate how forest attributes such as understory clutter, open regions, open and closed canopy, etc. influence bat communities. This knowledge provides a deeper understanding of habitat-species interactions to better manage survival of these species.

  1. Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR

    Science.gov (United States)

    Chen, Tao; Zhang, Pei Zhen; Liu, Jing; Li, Chuan You; Ren, Zhi Kun; Hudnut, Kenneth W.

    2014-01-01

    High-precision and high-resolution topography are the fundamental data for active fault research. Light detection and ranging (LiDAR) presents a new approach to build detailed digital elevation models effectively. We take the Haiyuan fault in Gansu Province as an example of how LiDAR data may be used to improve the study of active faults and the risk assessment of related hazards. In the eastern segment of the Haiyuan fault, the Shaomayin site has been comprehensively investigated in previous research because of its exemplary tectonic topographic features. Based on unprecedented LiDAR data, the horizontal and vertical coseismic offsets at the Shaomayin site are described. The measured horizontal value is about 8.6 m, and the vertical value is about 0.8 m. Using prior dating ages sampled from the same location, we estimate the horizontal slip rate as 4.0 ± 1.0 mm/a with high confidence and define that the lower bound of the vertical slip rate is 0.4 ± 0.1 mm/a since the Holocene. LiDAR data can repeat the measurements of field work on quantifying offsets of tectonic landform features quite well. The offset landforms are visualized on an office computer workstation easily, and specialized software may be used to obtain displacement quantitatively. By combining precious chronological results, the fundamental link between fault activity and large earthquakes is better recognized, as well as the potential risk for future earthquake hazards.

  2. NASA Goddards LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager

    Science.gov (United States)

    Cook, Bruce D.; Corp, Lawrence A.; Nelson, Ross F.; Middleton, Elizabeth M.; Morton, Douglas C.; McCorkel, Joel T.; Masek, Jeffrey G.; Ranson, Kenneth J.; Ly, Vuong; Montesano, Paul M.

    2013-01-01

    The combination of LiDAR and optical remotely sensed data provides unique information about ecosystem structure and function. Here, we describe the development, validation and application of a new airborne system that integrates commercial off the shelf LiDAR hyperspectral and thermal components in a compact, lightweight and portable system. Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) airborne imager is a unique system that permits simultaneous measurements of vegetation structure, foliar spectra and surface temperatures at very high spatial resolution (approximately 1 m) on a wide range of airborne platforms. The complementary nature of LiDAR, optical and thermal data provide an analytical framework for the development of new algorithms to map plant species composition, plant functional types, biodiversity, biomass and carbon stocks, and plant growth. In addition, G-LiHT data enhance our ability to validate data from existing satellite missions and support NASA Earth Science research. G-LiHT's data processing and distribution system is designed to give scientists open access to both low- and high-level data products (http://gliht.gsfc.nasa.gov), which will stimulate the community development of synergistic data fusion algorithms. G-LiHT has been used to collect more than 6,500 km2 of data for NASA-sponsored studies across a broad range of ecoregions in the USA and Mexico. In this paper, we document G-LiHT design considerations, physical specifications, instrument performance and calibration and acquisition parameters. In addition, we describe the data processing system and higher-level data products that are freely distributed under NASA's Data and Information policy.

  3. Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory

    Science.gov (United States)

    Junttila, Virpi; Finley, Andrew O.; Bradford, John B.; Kauranne, Tuomo

    2013-01-01

    Recently airborne Light Detection And Ranging (LiDAR) has emerged as a highly accurate remote sensing modality to be used in operational scale forest inventories. Inventories conducted with the help of LiDAR are most often model-based, i.e. they use variables derived from LiDAR point clouds as the predictive variables that are to be calibrated using field plots. The measurement of the necessary field plots is a time-consuming and statistically sensitive process. Because of this, current practice often presumes hundreds of plots to be collected. But since these plots are only used to calibrate regression models, it should be possible to minimize the number of plots needed by carefully selecting the plots to be measured. In the current study, we compare several systematic and random methods for calibration plot selection, with the specific aim that they be used in LiDAR based regression models for forest parameters, especially above-ground biomass. The primary criteria compared are based on both spatial representativity as well as on their coverage of the variability of the forest features measured. In the former case, it is important also to take into account spatial auto-correlation between the plots. The results indicate that choosing the plots in a way that ensures ample coverage of both spatial and feature space variability improves the performance of the corresponding models, and that adequate coverage of the variability in the feature space is the most important condition that should be met by the set of plots collected.

  4. Evaluation of Landslide Mapping Techniques and LiDAR-based Conditioning Factors

    Science.gov (United States)

    Mahalingam, R.; Olsen, M. J.

    2014-12-01

    Landslides are a major geohazard, which result in significant human, infrastructure, and economic losses. Landslide susceptibility mapping can help communities to plan and prepare for these damaging events. Mapping landslide susceptible locations using GIS and remote sensing techniques is gaining popularity in the past three decades. These efforts use a wide variety of procedures and consider a wide range of factors. Unfortunately, each study is often completed differently and independently of others. Further, the quality of the datasets used varies in terms of source, data collection, and generation, which can propagate errors or inconsistencies into the resulting output maps. Light detection and ranging (LiDAR) has proved to have higher accuracy in representing the continuous topographic surface, which can help minimize this uncertainty. The primary objectives of this paper are to investigate the applicability and performance of terrain factors in landslide hazard mapping, determine if LiDAR-derived datasets (slope, slope roughness, terrain roughness, stream power index and compound topographic index) can be used for predictive mapping without data representing other common landslide conditioning factors, and evaluate the differences in landslide susceptibility mapping using widely-used statistical approaches. The aforementioned factors were used to produce landslide susceptibility maps for a 140 km2 study area in northwest Oregon using six representative techniques: frequency ratio, weights of evidence, logistic regression, discriminant analysis, artificial neural network, and support vector machine. Most notably, the research showed an advantage in selecting fewer critical conditioning factors. The most reliable factors all could be derived from a single LiDAR DEM, reducing the need for laborious and costly data gathering. Most of the six techniques showed similar statistical results; however, ANN showed less accuracy for predictive mapping. Keywords : LiDAR

  5. LiDAR-based Prediction of Arthropod Abundance at the Southern Slopes of Mt. Kilimanjaro

    Science.gov (United States)

    Ziegler, Alice

    2017-04-01

    LiDAR (Light Detection And Ranging) is a remote sensing technology that offers high-resolution three-dimensional information about the covered area. These three-dimensional datasets were used in this work to derive structural parameters of the vegetation to predict the abundance of eight different arthropod assemblages with several models. For the model training of each arthropod assemblage, different versions (extent, filters) of the LiDAR datasets were provided and evaluated. Furthermore the importance of each of the LiDAR-derived structural parameters for each model was calculated. The best input dataset and structural parameters were used for the prediction of the abundance of arthropod assemblages. The analyses of the prediction results across seven different landuse types and the eight arthropod assemblages exposed, that for the arthropod assemblages, LiDAR-based predictions were in general best feasible for "Orthoptera" (average R2 (coefficient of determination) over all landuses: 0.14), even though the predictions for the other arthropod assemblages reached values of the same magnitude. It was also found that the landuse type "disturbed forest" showed the best results (average R2 over all assemblages: 0.20), whereas "home garden" was the least predictable (average R2 over all assemblages: 0.04). Differenciated by arthropod-landuse pairs, the results showed distinct differences and the R2 values diverged clearly. It was shown, that when model settings were optimized for only one arthropod taxa, values for R2 could reach values up to 0.55 ("Orthoptera" in "disturbed forest"). The analysis of the importance of each structural parameter for the prediction revealed that about one third of the 18 used parameters were always among the most important ones for the prediction of all assemblages. This strong ranking of parameters implied that focus for further research needs to be put on the selection of predictor variables.

  6. Use of LiDAR to Assist in Delineating Waters of the United States, Including Wetlands

    Science.gov (United States)

    2014-03-01

    components: a mounting platform, a laser and scanning mirror, an inertial measurement unit (IMU), a global positioning system (GPS) antenna and...including but not limited to TIFF, ASC , IMG, and KML files or compressed as a KMZ file. These files are quickly imported and viewed using GIS such as...sediment transport processes and hydraulics. Sedimentology 56:2024–2043. Hogg, A., and J. Holland. 2008. An evaluation of DEMs derived from LiDAR

  7. 3D turbulence measurements in inhomogeneous boundary layers with three wind LiDARs

    Science.gov (United States)

    Carbajo Fuertes, Fernando; Valerio Iungo, Giacomo; Porté-Agel, Fernando

    2014-05-01

    One of the most challenging tasks in atmospheric anemometry is obtaining reliable turbulence measurements of inhomogeneous boundary layers at heights or in locations where is not possible or convenient to install tower-based measurement systems, e.g. mountainous terrain, cities, wind farms, etc. Wind LiDARs are being extensively used for the measurement of averaged vertical wind profiles, but they can only successfully accomplish this task under the limiting conditions of flat terrain and horizontally homogeneous flow. Moreover, it has been shown that common scanning strategies introduce large systematic errors in turbulence measurements, regardless of the characteristics of the flow addressed. From the point of view of research, there exist a variety of techniques and scanning strategies to estimate different turbulence quantities but most of them rely in the combination of raw measurements with atmospheric models. Most of those models are only valid under the assumption of horizontal homogeneity. The limitations stated above can be overcome by a new triple LiDAR technique which uses simultaneous measurements from three intersecting Doppler wind LiDARs. It allows for the reconstruction of the three-dimensional velocity vector in time as well as local velocity gradients without the need of any turbulence model and with minimal assumptions [EGU2013-9670]. The triple LiDAR technique has been applied to the study of the flow over the campus of EPFL in Lausanne (Switzerland). The results show the potential of the technique for the measurement of turbulence in highly complex boundary layer flows. The technique is particularly useful for micrometeorology and wind engineering studies.

  8. Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

    OpenAIRE

    Dengsheng Lu; Qi Chen; Guangxing Wang; Emilio Moran; Mateus Batistella; Maozhen Zhang; Gaia Vaglio Laurin; David Saah

    2012-01-01

    Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations. On the other hand, forest biomass uncertainty analysis research has only recently obtained sufficient attention due to the difficulty in collecting reference data. This paper provides a brief overview of current forest biomass estimation methods using both TM and LiDAR data. A case study is then presented that demonst...

  9. ÉTUDE DE CAS — Dar es-Salaam, Tanzanie : Assurer la sécurité ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    20 déc. 2010 ... En l'absence de services suffisants, les citadins sont passés maîtres dans l'art de « se débrouiller » et d'improviser. Par la force des choses, Dar es-Salaam, ou Dar, est devenue une ville ..... Urban agriculture: Growing food in our cities. City dwellers have been growing their own food for millennia.

  10. Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters.

    Science.gov (United States)

    Luo, Shezhou; Chen, Jing M; Wang, Cheng; Xi, Xiaohuan; Zeng, Hongcheng; Peng, Dailiang; Li, Dong

    2016-05-30

    Vegetation leaf area index (LAI), height, and aboveground biomass are key biophysical parameters. Corn is an important and globally distributed crop, and reliable estimations of these parameters are essential for corn yield forecasting, health monitoring and ecosystem modeling. Light Detection and Ranging (LiDAR) is considered an effective technology for estimating vegetation biophysical parameters. However, the estimation accuracies of these parameters are affected by multiple factors. In this study, we first estimated corn LAI, height and biomass (R2 = 0.80, 0.874 and 0.838, respectively) using the original LiDAR data (7.32 points/m2), and the results showed that LiDAR data could accurately estimate these biophysical parameters. Second, comprehensive research was conducted on the effects of LiDAR point density, sampling size and height threshold on the estimation accuracy of LAI, height and biomass. Our findings indicated that LiDAR point density had an important effect on the estimation accuracy for vegetation biophysical parameters, however, high point density did not always produce highly accurate estimates, and reduced point density could deliver reasonable estimation results. Furthermore, the results showed that sampling size and height threshold were additional key factors that affect the estimation accuracy of biophysical parameters. Therefore, the optimal sampling size and the height threshold should be determined to improve the estimation accuracy of biophysical parameters. Our results also implied that a higher LiDAR point density, larger sampling size and height threshold were required to obtain accurate corn LAI estimation when compared with height and biomass estimations. In general, our results provide valuable guidance for LiDAR data acquisition and estimation of vegetation biophysical parameters using LiDAR data.

  11. Utilizing LiDAR Datasets From Experimental Watersheds to Advance Ecohydrological Understanding in Seasonally Snow-Covered Forests

    Science.gov (United States)

    Harpold, A. A.; Broxton, P. D.; Guo, Q.; Barlage, M. J.; Gochis, D. J.

    2014-12-01

    The Western U.S. is strongly reliant on snowmelt from forested areas for ecosystem services and downstream populations. The ability to manage water resources from snow-covered forests faces major challenges from drought, disturbance, and regional changes in climate. An exciting avenue for improving ecohydrological process understanding is Light Detection and Ranging (LiDAR) because the technology simultaneously observes topography, forest properties, and snow/ice at high-resolution (100 km2). The availability and quality of LiDAR datasets is increasing rapidly, however they remain under-utilized for process-based ecohydrology investigations. This presentation will illustrate how LiDAR datasets from the Critical Zone Observatory (CZO) network have been applied to advance ecohydrological understanding through direct empirical analysis, as well as model parameterization and verification. Direct analysis of the datasets has proved fruitful for pre- and post-disturbance snow distribution estimates and interpreting in-situ snow depth measurements across sites. In addition, we illustrate the potential value of LiDAR to parameterize and verify of physical models with two examples. First, we use LiDAR to parameterize a land surface model, Noah multi-parameterization (Noah-MP), to investigate the sensitivity of modeled water and energy fluxes to high-resolution forest information. Second, we present a Snow Physics and Laser Mapping (SnowPALM) model that is parameterized with LiDAR information at its native 1-m scale. Both modeling studies demonstrate the value of LiDAR for representing processes with greater fidelity. More importantly, the increased model fidelity led to different estimates of water and energy fluxes at larger, watershed scales. Creating a network of experimental watersheds with LiDAR datasets offers the potential to test theories and models in previously unexplored ways.

  12. Motion field estimation for a dynamic scene using a 3D LiDAR.

    Science.gov (United States)

    Li, Qingquan; Zhang, Liang; Mao, Qingzhou; Zou, Qin; Zhang, Pin; Feng, Shaojun; Ochieng, Washington

    2014-09-09

    This paper proposes a novel motion field estimation method based on a 3D light detection and ranging (LiDAR) sensor for motion sensing for intelligent driverless vehicles and active collision avoidance systems. Unlike multiple target tracking methods, which estimate the motion state of detected targets, such as cars and pedestrians, motion field estimation regards the whole scene as a motion field in which each little element has its own motion state. Compared to multiple target tracking, segmentation errors and data association errors have much less significance in motion field estimation, making it more accurate and robust. This paper presents an intact 3D LiDAR-based motion field estimation method, including pre-processing, a theoretical framework for the motion field estimation problem and practical solutions. The 3D LiDAR measurements are first projected to small-scale polar grids, and then, after data association and Kalman filtering, the motion state of every moving grid is estimated. To reduce computing time, a fast data association algorithm is proposed. Furthermore, considering the spatial correlation of motion among neighboring grids, a novel spatial-smoothing algorithm is also presented to optimize the motion field. The experimental results using several data sets captured in different cities indicate that the proposed motion field estimation is able to run in real-time and performs robustly and effectively.

  13. Motion Field Estimation for a Dynamic Scene Using a 3D LiDAR

    Directory of Open Access Journals (Sweden)

    Qingquan Li

    2014-09-01

    Full Text Available This paper proposes a novel motion field estimation method based on a 3D light detection and ranging (LiDAR sensor for motion sensing for intelligent driverless vehicles and active collision avoidance systems. Unlike multiple target tracking methods, which estimate the motion state of detected targets, such as cars and pedestrians, motion field estimation regards the whole scene as a motion field in which each little element has its own motion state. Compared to multiple target tracking, segmentation errors and data association errors have much less significance in motion field estimation, making it more accurate and robust. This paper presents an intact 3D LiDAR-based motion field estimation method, including pre-processing, a theoretical framework for the motion field estimation problem and practical solutions. The 3D LiDAR measurements are first projected to small-scale polar grids, and then, after data association and Kalman filtering, the motion state of every moving grid is estimated. To reduce computing time, a fast data association algorithm is proposed. Furthermore, considering the spatial correlation of motion among neighboring grids, a novel spatial-smoothing algorithm is also presented to optimize the motion field. The experimental results using several data sets captured in different cities indicate that the proposed motion field estimation is able to run in real-time and performs robustly and effectively.

  14. Automated method for measuring the extent of selective logging damage with airborne LiDAR data

    Science.gov (United States)

    Melendy, L.; Hagen, S. C.; Sullivan, F. B.; Pearson, T. R. H.; Walker, S. M.; Ellis, P.; Kustiyo; Sambodo, Ari Katmoko; Roswintiarti, O.; Hanson, M. A.; Klassen, A. W.; Palace, M. W.; Braswell, B. H.; Delgado, G. M.

    2018-05-01

    Selective logging has an impact on the global carbon cycle, as well as on the forest micro-climate, and longer-term changes in erosion, soil and nutrient cycling, and fire susceptibility. Our ability to quantify these impacts is dependent on methods and tools that accurately identify the extent and features of logging activity. LiDAR-based measurements of these features offers significant promise. Here, we present a set of algorithms for automated detection and mapping of critical features associated with logging - roads/decks, skid trails, and gaps - using commercial airborne LiDAR data as input. The automated algorithm was applied to commercial LiDAR data collected over two logging concessions in Kalimantan, Indonesia in 2014. The algorithm results were compared to measurements of the logging features collected in the field soon after logging was complete. The automated algorithm-mapped road/deck and skid trail features match closely with features measured in the field, with agreement levels ranging from 69% to 99% when adjusting for GPS location error. The algorithm performed most poorly with gaps, which, by their nature, are variable due to the unpredictable impact of tree fall versus the linear and regular features directly created by mechanical means. Overall, the automated algorithm performs well and offers significant promise as a generalizable tool useful to efficiently and accurately capture the effects of selective logging, including the potential to distinguish reduced impact logging from conventional logging.

  15. Phylogenetic Relationships between Four Salix L. Species Based on DArT Markers

    Directory of Open Access Journals (Sweden)

    Jerzy A. Przyborowski

    2013-12-01

    Full Text Available The objectives of this study were to evaluate the usefulness of DArT markers in genotypic identification of willow species and describe genetic relationships between four willow species: Salix viminalis, S. purpurea, S. alba and S. triandra. The experimental plant material comprised 53 willow genotypes of these four species, which are popularly grown in Poland. DArT markers seem to identify Salix species with a high degree of accuracy. As a result, the examined species were divided into four distinct groups which corresponded to the four analyzed species. In our study, we observed that S. triandra was very different genetically from the other species, including S. alba which is generally classified into the same subgenus of Salix. The above corroborates the findings of other authors who relied on molecular methods to reveal that the classification of S. triandra to the subgenus Salix was erroneous. The Principal Coordinate Analysis (PCoA and the neighbor-joining dendrogram also confirmed the clear division of the studied willow genotypes into four clusters corresponding to individual species. This confirmed the usefulness of DArT markers in taxonomic analyses and identification of willow species.

  16. The OptD-multi method in LiDAR processing

    International Nuclear Information System (INIS)

    Błaszczak-Bąk, Wioleta; Sobieraj-Żłobińska, Anna; Kowalik, Michał

    2017-01-01

    New and constantly developing technology for acquiring spatial data, such as LiDAR (light detection and ranging), is a source for large volume of data. However, such amount of data is not always needed for developing the most popular LiDAR products: digital terrain model (DTM) or digital surface model. Therefore, in many cases, the number of contained points are reduced in the pre-processing stage. The degree of reduction is determined by the algorithm used, which should enable the user to obtain a dataset appropriate and optimal for the planned purpose. The aim of this article is to propose a new Optimum Dataset method (OptD method) in the processing of LiDAR point clouds. The OptD method can reduce the number of points in a dataset for the specified optimization criteria concerning the characteristics of generated DTM. The OptD method can be used in two variants: OptD-single (one criterion for optimization) and OptD-multi (two or more optimization criteria). The OptD-single method has been thoroughly tested and presented by Błaszczak-Bąk (2016 Acta Geodyn. Geomater . 13/4 379–86). In this paper the authors discussed the OptD-multi method. (paper)

  17. High-Density LiDAR Mapping of the Ancient City of Mayapán

    Directory of Open Access Journals (Sweden)

    Timothy Hare

    2014-09-01

    Full Text Available A 2013 survey of a 40 square kilometer area surrounding Mayapán, Yucatan, Mexico used high-density LiDAR data to map prehispanic architecture and related natural features. Most of the area is covered by low canopy dense forest vegetation over karstic hilly terrain that impedes full coverage archaeological survey. We used LiDAR at 40 laser points per square meter to generate a bare earth digital elevation model (DEM. Results were evaluated with comparisons to previously mapped areas and with traditional archaeological survey methods for 38 settlement clusters outside of the city wall. Ground checking employed full coverage survey of selected 500 m grid squares, as well as documentation of the chronology and detail of new public and domestic settlement features and cenotes. Results identify the full extent of continued, contemporary Postclassic settlement (A.D. 1150–1450 outside of the city wall to at least 500 meters to the east, north, and west. New data also reveal an extensive modified landscape of terraformed residential hills, rejolladas, and dense settlement dating from Preclassic through Classic Periods. The LiDAR data also allow for the identification of rooms, benches, and stone property walls and lanes within the city.

  18. Shift work and sleep disorder among textile mill workers in Bahir Dar, northwest Ethiopia.

    Science.gov (United States)

    Abebe, Y; Fantahun, M

    1999-07-01

    To assess the length and quality of sleep among shift workers at Bahir Dar textile mill. A cross sectional study using structured questionnaire that contained sociodemographic variables, duration of work, work schedule, number of sleeping hours, sleep disorders, and associated reasons for such disorders. A textile mill in Bahir Dar, northwest Ethiopia. Three-hundred ninety four random sample of production workers of the mill. Sleep disorders, and the impact of external and home environment on sleep. The mean duration of work in the factory was 25.4 +/- 7.1 years. Ninety-seven per cent of the study population work in a rotating eight hourly shift system. The mean number of hours a worker sleeps after a worked shift was 5.1 +/- 2.3. Two hundred thirty (58.4%) claimed to experience a sleep disorder. Sleep disturbance was significantly associated with rotating shift work, external environmental noise, and working in the spinning department. The majority of the workers in Bahir Dar textile mill experienced sleep disturbances as detailed in the study methodology.

  19. AN EFFICIENT METHOD FOR AUTOMATIC ROAD EXTRACTION BASED ON MULTIPLE FEATURES FROM LiDAR DATA

    Directory of Open Access Journals (Sweden)

    Y. Li

    2016-06-01

    Full Text Available The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D points with less occlusions and smaller shadows. The elevation information and surface roughness are distinguishing features to separate roads. However, LiDAR data has some disadvantages are not beneficial to object extraction, such as the irregular distribution of point clouds and lack of clear edges of roads. For these problems, this paper proposes an automatic road centerlines extraction method which has three major steps: (1 road center point detection based on multiple feature spatial clustering for separating road points from ground points, (2 local principal component analysis with least squares fitting for extracting the primitives of road centerlines, and (3 hierarchical grouping for connecting primitives into complete roads network. Compared with MTH (consist of Mean shift algorithm, Tensor voting, and Hough transform proposed in our previous article, this method greatly reduced the computational cost. To evaluate the proposed method, the Vaihingen data set, a benchmark testing data provided by ISPRS for “Urban Classification and 3D Building Reconstruction” project, was selected. The experimental results show that our method achieve the same performance by less time in road extraction using LiDAR data.

  20. An Efficient Method for Automatic Road Extraction Based on Multiple Features from LiDAR Data

    Science.gov (United States)

    Li, Y.; Hu, X.; Guan, H.; Liu, P.

    2016-06-01

    The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D) points with less occlusions and smaller shadows. The elevation information and surface roughness are distinguishing features to separate roads. However, LiDAR data has some disadvantages are not beneficial to object extraction, such as the irregular distribution of point clouds and lack of clear edges of roads. For these problems, this paper proposes an automatic road centerlines extraction method which has three major steps: (1) road center point detection based on multiple feature spatial clustering for separating road points from ground points, (2) local principal component analysis with least squares fitting for extracting the primitives of road centerlines, and (3) hierarchical grouping for connecting primitives into complete roads network. Compared with MTH (consist of Mean shift algorithm, Tensor voting, and Hough transform) proposed in our previous article, this method greatly reduced the computational cost. To evaluate the proposed method, the Vaihingen data set, a benchmark testing data provided by ISPRS for "Urban Classification and 3D Building Reconstruction" project, was selected. The experimental results show that our method achieve the same performance by less time in road extraction using LiDAR data.