1,776 research outputs found
NF96-277 \u3cem\u3eSetting Up Your Own Business:\u3c/em\u3e Planning Your Insurance Coverage (Revised April 2005)
Among the important business decisions you will make each year are your decisions about insurance. Both the type(s) of insurance you decide to carry and the level of coverage provided through each type of insurance are important. In event of a serious mistake by yourself or your employee, an accident, a natural or man-made disaster, or other similar event, it\u27s likely your insurance coverage is all that will stand between you and a major loss — possibly all that\u27s between you and a bankruptcy. This NebFact informs you how to plan your insurance coverage and includes a form for you to use to list your insurance coverage
Magnetohydrodynamics (MHD) Engineering Test Facility (ETF) 200 MWe power plant. Design Requirements Document (DRD)
A description and the design requirements for the 200 MWe (nominal) net output MHD Engineering Test Facility (ETF) Conceptual Design, are presented. Performance requirements for the plant are identified and process conditions are indicated at interface stations between the major systems comprising the plant. Also included are the description, functions, interfaces and requirements for each of these major systems. The lastest information (1980-1981) from the MHD technology program are integrated with elements of a conventional steam electric power generating plant
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Material analysis using combined elastic recoil detection and Rutherford/enhanced Rutherford backscattering spectrometry
Three complimentary ion beam techniques will be combined in the analysis of oxide and nitride based materials, in particular BN/SiC and La{sub 0.85}Sr{sub 0.15}CoO{sub 3}. These materials can be synthesized over composition ranges which vary the physical and electrical properties, and therefore an accurate measure of the composition profiles is critical for controlling these properties. Elastic Recoil Detection (ERD) revealed the composition of light elements from H to 0, and Rutherford Backscattering Spectrometry (RBS) gave the composition of heavier elements (e.g., Si, Sr, Co and La). Enhanced Rutherford Backscattering Spectrometry (FRBS) complimented these techniques by utilizing enhanced cross-sections, greater than Rutherford, to increase the signal-to-noise ratio for analysis of mid-range elements 0, C, and N. ERD with 24 MeV Si ions gave profiles for H, B, and N in thin films, and 30 MeV Si was able to profile 0 in the top portion of heavier samples. Although 2.8 MeV He RBS worked well for heavier elements, ERBS utilized He ions at 3.5 MeV for N analysis and 8.7 MeV for 0 analysis, because at these energies the cross sections are 2 and 22 times Rutherford, respectively. Also, the depth of analysis was greater with ERBS because of the increased incident energy
Aircraft-based observations and high-resolution simulations of an Icelandic dust storm
The first aircraft-based observations of an Icelandic dust storm are presented. The measurements were carried out over the ocean near Iceland's south coast in February 2007. This dust event occurred in conjunction with an easterly barrier jet of more than 30 m s<sup>−1</sup>. The aircraft measurements show high particle mass mixing ratios in an area of low wind speeds in the wake of Iceland near the coast, decreasing abruptly towards the jet. Simulations from the Weather Research and Forecasting Model coupled with Chemistry (WRF/Chem) indicate that the measured high mass mixing ratios and observed low visibility inside the wake are due to dust transported from Icelandic sand fields towards the ocean. This is confirmed by meteorological station data. Glacial outwash terrains located near the Mýrdalsjökull glacier are among simulated dust sources. Sea salt aerosols produced by the impact of strong winds on the ocean surface started to dominate as the aircraft flew away from Iceland into the jet. The present results support recent studies which suggest that Icelandic deserts should be considered as important dust sources in global and regional climate models
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