1,155 research outputs found

    Georgia Welfare Leavers Study - Initial Results

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    Funded by the Department of Human Resources, the Georgia State welfare leavers study is tracking families as they leave Temporary Assistance to Needy Families (TANF). Using administrative data combined with the results of a telephone interview, the project monitors the impact of leaving welfare on the individuals, their families and their communities.2 The study includes both single-parent and child-only leavers and, unlike studies in some other states, does include individuals who have returned to the rolls. The response rate for this study approaches 35% and continues to rise as the project makes intensive efforts to locate respondents. Preliminary analyses of administrative data indicate that interview respondents closely resemble individuals whom the project has been unable to interview

    Georgia Welfare Leavers Study - Technical Appendices

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    The following provides an overview of the Georgia State study and compares it to that of leavers studies in other states. While there are similarities, this study differs in several crucial ways from these other studies

    Georgia Welfare Leavers Study - (Life After Welfare) Technical Appendix

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    In this section we review distinguishing features of TANF as implemented in Georgia and describe recent trends in the welfare caseload

    Georgia Welfare Leavers Study - Life After Welfare

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    Funded by the Department of Human Resources, the Georgia State welfare leavers study tracked families as they left Temporary Assistance to Needy Families (TANF).1 Using administrative data combined with the results of a telephone survey, the project monitored the impact of leaving welfare on the individuals and their families. The study includes both single-parent and child-only leavers as well as individuals who have returned to the rolls

    Now Is the Time: Experts vs. the Uninitiated as Future Nominees to the U.S. Court of Appeals for Veterans Claims

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    Two-thirds of judges appointed to the Court of Appeals for Veterans Claims ( CAVC or Court ) could and should be drawn from among lawyers experienced in the U.S. Department of Veterans Affairs ( VA ) benefits claims adjudication system. It is a specialty court, and like other such courts, its judges would benefit from specialized experience. All stakeholders in the claims system and the Court\u27s work, and most importantly, veterans, would benefit from a Court that has appointees steeped in VA law and adjudication

    Manufacturing High-Fidelity Lunar Agglutinate Simulants

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    The lunar regolith is very different from many naturally occurring material on Earth because it forms in the unique, impact-dominated environment of the lunar surface. Lunar regolith is composed of five basic particle types: mineral fragments, pristine crystalline rock fragments, breccia fragments, glasses of various kinds, and agglutinates (glass-bonded aggregates). Agglutinates are abundant in the lunar regolith, especially in mature regoliths where they can be the dominant component.This presentation will discuss the technical feasibility of manufacturing-simulated agglutinate particles that match many of the unique properties of lunar agglutinates

    Now Is the Time: Experts vs. the Uninitiated as Future Nominees to the U.S. Court of Appeals for Veterans Claims

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    Two-thirds of judges appointed to the Court of Appeals for Veterans Claims ( CAVC or Court ) could and should be drawn from among lawyers experienced in the U.S. Department of Veterans Affairs ( VA ) benefits claims adjudication system. It is a specialty court, and like other such courts, its judges would benefit from specialized experience. All stakeholders in the claims system and the Court\u27s work, and most importantly, veterans, would benefit from a Court that has appointees steeped in VA law and adjudication

    Appropriate Simulants are a Requirement for Mars Surface Systems Technology Development

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    To date, there are two simulants for martian regolith: JSC Mars-1A, produced from palagonitic (weathered) basaltic tephra mined from the Pu'u Nene cinder cone in Hawaii [1] by commercial company Orbitec, and Mojave Mars Simulant (MMS), produced from Saddleback Basalt in the western Mojave desert by the Jet Propulsion Laboratory [2]. Until numerous recent orbiters, rovers, and landers were sent to Mars, weathered basalt was surmised to cover every inch of the martian landscape. All missions since Viking have disproven that the entire martian surface is weathered basalt. In fact, the outcrops, features, and surfaces that are significantly different from weathered basalt are too numerous to realistically count. There are gullies, evaporites, sand dunes, lake deposits, hydrothermal deposits, alluvium, etc. that indicate sedimentary and chemical processes. There is no one size fits all simulant. Each unique area requires its own simulant in order to test technologies and hardware, thereby reducing risk

    Usando Teledetección para Identificar la Incidencia de Sedimentos del Canal del Dique en Sistemas Aquaticos Costeros

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    En este estudio de caso, se usó tecnología de teledetección para analizar la distribución espacial de plumas de sedimentos suspendidos del Canal del Dique, Colombia, en el Mar Caribe y cuerpos de agua costeros. Especialmente para distinguir si dichos sedimentos alcanzan las aguas del complejo coralino de Islas del Rosario. Del “Moderate Resolution Imaging Spectroradiometer (MODIS)”, se utilizó el producto de reflectancia de superficie (MOD09GQ) para estimar la reflectancia de la superficie del agua (RSA) como sustituto de la concentración de sedimentos suspendidos. Considerando el valor medio de RSA en el primer trimestre de cada año (el cual corresponde al trimestre más seco del año) se determinó la variación temporal interanual en las Islas del Rosario, en las dos bocas principales del Canal del Dique y en la boca principal del río de donde este se desprende, el Río Magdalena. Complementariamente, se usó teledetección para estimar las tendencias interanuales de precipitación en la cuenca hidrográfica del Río Magdalena y se analizó su posible relación con las tendencias de RSA. La precipitación se estimó usando el producto 3B43 V7 de la misión “Tropical Rainforest Meassuring Mission (TRMM)”. No se detectaron incrementos o decrementos en las tendencias interanuales de RSA en alguno de los sitios durante el periodo de estudio 2001-2014 (p> 0,05), pero se detectaron correlaciones significativas entre las tendencias interanuales en RSA en cada desembocadura de las cuenca hidrográfica (r = 0,57-0,90, p < 0,05) y entre éstas y la variación interanual de precipitación en la cuenca (r = 0,63-0,67, p < 0,05). Se detectaron mayores valores de RSA durante los meses de La Niña en comparación a los meses de El Niño. Con esta tecnología fue posible identificar una intersección espacial entre las plumas de sedimentos del Canal del Dique y el sistema coralino de Islas del Rosario

    Generation of Requirements for Simulant Measurements

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    This TM presents a formal, logical explanation of the parameters selected for the figure of merit (FoM) algorithm. The FoM algorithm is used to evaluate lunar regolith simulant. The objectives, requirements, assumptions, and analysis behind the parameters are provided. A requirement is derived to verify and validate simulant performance versus lunar regolith from NASA s objectives for lunar simulants. This requirement leads to a specification that comparative measurements be taken the same way on the regolith and the simulant. In turn, this leads to a set of nine criteria with which to evaluate comparative measurements. Many of the potential measurements of interest are not defensible under these criteria. For example, many geotechnical properties of interest were not explicitly measured during Apollo and they can only be measured in situ on the Moon. A 2005 workshop identified 32 properties of major interest to users. Virtually all of the properties are tightly constrained, though not predictable, if just four parameters are controlled. Three parameters (composition, size, and shape) are recognized as being definable at the particle level. The fourth parameter (density) is a bulk property. In recent work, a fifth parameter (spectroscopy) has been identified, which will need to be added to future releases of the FoM
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