[en] The authors have determined the neutron spin structure function g₁ⁿ over the range 0.03 (le) x (le) 0.6 at an average Q² of 2(GeV/c)² by measuring the asymmetry in deep inelastic scattering of polarized electrons from a polarized ³He target. The experiment was performed at SLAC and used energies between 19 and 26 GeV. The neutron asymmetry turned out to be small and negative, and the integral of the neutron spin structure function is ∫₀¹g₁ⁿ(x)dx = -0.024 ± 0.006(stat.) ± 0.008(syst.). Combined with the current available worldwide proton data, this result confirmed the Bjorken sum rule at 10% level, once high-order perturbative QCD corrections are taken into account. The Ellis-Jaffe sum rule for the neutron predicts ∫₀¹ g₁ⁿ(x)dx = -0.010 ± 0.012, roughly consistent with their result

[en] In computing the dynamic response of a connected system with multiple components having dissimilar damping characteristics, which is often referred to as nonclassically damped system such as nuclear power plant piping systems supported by stiff structures, one needs to define the system-level damping based upon the damping information of components. This is frequently done in practice using approximate methods expressed as composite modal damping with weighting functions. However, when the difference in damping among components is substantial, the composite modal damping may become inappropriate in the characterization of the damping behavior of such systems. In recent years, several new methods have emerged with the expectation that they could produce more exact system-level damping for a group of nonclassically damped structures which are comprised of components that possess classical modal damping. In this paper, an overview is presented to examine these methods in the light of their theoretical basis, the technical merits, and practical applications. To this end, a synthesis method is described, which was shown to reduce to the other methods in the literature

[en] Separation of uranium from fission products by homogeneous liquid-liquid extraction of uranium from one molar nitric acid solution with addition of ferric nitrate as salting-out reagent, into propylene carbonate has been performed. Uranium(VI) was quantitatively extracted into propylene carbonate from an aqueous medium of 0.5 g/l Fe(NO₃)₃ 9H₂O and 1 M HNO₃ at 99 C, then quantitatively stripped from the organic phase with 0.1 M sodium carbonate at pH 9. Final separation of uranium(VI) was obtained by extracting uranium(VI) into 0.1 M dibenzoyl methane in propylene carbonate using the homogeneous technique at pH 7. Precipitation of ferric hydroxide affords efficient decontamination from significant fission products. The representative fission product elements, molybdenum, strontium, ruthenium, zirconium, and cerium, remained in the aqueous solution after after extracting uranium(VI) into propylene carbonate to an extent grater than 97%; i.e., less than three percent of the respective elements were found in the carbonate stripping solution. After the final separation step, the extraction of uranyl ion into propylene carbonate containing dibenzoly methane, these fission product elements were not longer detectable. Ten percent of the original concentration of iodide was found in the carbonate stripping solution. However, it was removed in the final separation step. This uranium extraction method can be applied as a practical method for separating uranium from fission products to recover the uranium from spent fuel elements. The capacity of ferric hydroxide for adsorption of fission products and the ability to convert to the somewhat refractory ferric oxide also promises convenience for long term storage

[en] It is difficult to overstate the reach and influence of the literature on economic and economic policy uncertainty over the last decade (www.policyuncertainty.com). On-going research relates uncertainty to macroeconomic phenomena such as inflation and GDP growth, microeconomic issues concerning firmlevel investment and export market entry and exit, and finance considerations like corporate strategy and equity returns. In this paper, we address one surprisingly under-researched topic: what is the forecasting performance of economic uncertainty measures? We examine both in-sample and out-of-sample forecasting, both real and financial outcome variables, sub-sample stability, and real-time considerations. Our measures of uncertainty include U.S. Economic Policy Uncertainty (Baker, Bloom, & Davis, 2016), U.S. macroeconomic uncertainty (Jurado, Ludvigson, & Ng, 2015), and U.S. financial uncertainty (Ludvigson, Ma, & Ng, in press). We begin by showing that there is substantial explanatory power both in-sample and out-of-sample over the 128 outcome variables in the McCracken and Ng (2016) data set. Next, we document that uncertainty sometimes has additional predictive content over the widely-used excess bond premium (Gilchrist & Zakrajsek, 2012) and the Chicago Fed’s National Financial Conditions Index (NFCI).

[en] Disclosed is a series of improved chelating agents and the chelates formed from these agents, which are highly effective upon both injection and oral administration. Several of the most effective are of low toxicity. These chelating agents incorporate within their structure 3-hydroxy-2-pyridinone (3,2-HOPO) moieties with a substituted carbamoyl group ortho to the hydroxy group of the hydroxypyridinone ring. The electron-withdrawing carbamoyl group increases the acidity, as well as the chemical stability towards oxidation and reduction, of the hydroxypyridinones. In the metal complexes of the chelating agents, the amide protons form very strong hydrogen bonds with the adjacent HOPO oxygen donor, making these complexes very stable at physiological conditions. The terminal N-substituents provide a certain degree of lipophilicity to the 3,2-HOPO, increasing oral activity. 2 figs

[en] A comprehensive benchmark program was developed by Brookhaven National Laboratory (BNL) to perform an evaluation of state-of-the-art methods and computer programs for performing seismic analyses of coupled systems with non-classical damping. The program, which was sponsored by the US Nuclear Regulatory Commission (NRC), was designed to address various aspects of application and limitations of these state-of-the-art analysis methods to typical coupled nuclear power plant (NPP) structures with non-classical damping, and was carried out through analyses of a set of representative benchmark problems. One objective was to examine the applicability of various analysis methods to problems with different dynamic characteristics unique to coupled systems. The examination was performed using parametric variations for three simple benchmark models. This paper presents the comparisons and evaluation of the program participants' results to the BNL exact solutions for the applicable ranges of modeling dynamic characteristic parameters

No abstract available

No abstract available

No abstract available

[en] A NRC-BNL benchmark program for evaluation of state-of-the-art analysis methods and computer programs for seismic analysis of coupled structures with non-classical damping is described. The program includes a series of benchmarking problems designed to investigate various aspects of complexities, applications and limitations associated with methods for analysis of non-classically damped structures. Discussions are provided on the benchmarking process, benchmark structural models, and the evaluation approach, as well as benchmarking ground rules. It is expected that the findings and insights, as well as recommendations from this program will be useful in developing new acceptance criteria and providing guidance for future regulatory activities involving licensing applications of these alternate methods to coupled systems