7,691 research outputs found

    Productive Efficiency in Water Usage: An Analysis of Differences among Farm Types and Sizes in Georgia

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    In Georgia, the price of irrigation water is equal to the cost of extraction, including pumping and diversion, storage, treatment, and delivery costs. These water-pricing conditions are repeated in locales around the world. In lieu of established water markets, water use and its efficient use are driven more by farm-level characteristics and management strategies than by the resource price. The purpose of the research presented herein is to examine what factors guide Georgia farmers’ water use decisions. Using data envelopment analysis (DEA) to calculate technical water use efficiency scores, a second step Tobit model is estimated to determine the effect of farm type and farm size. A farms’ use of conservation tillage or organic farming positively affected their water use efficiency, while farms of smaller size or solely owned were more inefficient in water use.technical/productive water use efficiency, organic agriculture, DEA, Production Economics, Productivity Analysis, Resource /Energy Economics and Policy,

    Community Reinvestment Act and Its Impact on Bank Mergers

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    Community Reinvestment Act and Its Impact on Bank Mergers

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    Wet spinning fibres from imogolite and carbon nanotubes

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    As 1D materials with high intrinsic strength and stiffness, nanotubes are promising building blocks for the next generation of fibres in structural composites. This thesis explores wet spinning techniques for assembling macroscale fibres from nanotubes. Carbon nanotubes (CNTs) are an obvious target material to compete with commercial carbon fibres, based on their excellent intrinsic mechanical properties and low density, alongside high electrical conductivity for multifunctional applications. However, studying CNT materials is challenging due to their intrinsically high optical absorbance and low X-ray scattering cross-section, as well as the dispersity of typical feedstocks in both size and helicity. Imogolite nanotubes (INTs) are an inorganic analogue that offers an opportunity to observe the assembly of nanotubes into fibres using both polarised optical microscopy (POM) and X-ray scattering (XRS). In contrast to CNTs, INTs are optically transparent and can be synthesised at low temperature to provide feedstocks that are uniform in structure and diameter. In this work, the first known pure INT fibres have been produced and used to understand the nanotube wet spinning process. In situ POM demonstrated that in cylindrical spinnerets the spinning dope undergoes plug flow with inhomogeneous alignment due to the shear thinning nature of the solutions. The use of a tapered spinneret enables good alignment of the spinning dope, due to the induced extensional flow. Using this information, CNT fibres were spun from reduced CNT solutions and the wet spinning process was refined using a combination of in situ observation and statistical experimental design. The dissolution of negatively-charged CNTs (nanotubides) was examined both from a theoretical perspective and experimentally to identify the key conditions required to obtain homogeneous spinning dopes. The optimal dissolution depended upon both degree of charging and effective stirring. The optimised CNT dope was then wet spun using a variety of coagulating systems to identify the accessible process window and optimum parameters for spinning from these reactive charged solutions. Further improvement of the CNT fibre properties is predicted to arise through the use of higher aspect ratio CNT feedstocks. However, challenges still remain in the liquid phase processing of longer CNTs. In order to create CNT fibres competitive with commercial CFs, future research should focus on how to process these longer feedstocks following the guidance in this thesis.Open Acces

    Consolidated fuel reprossing program: The implications of force reflection for teleoperation in space

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    Previous research on teleoperator force feedback is reviewed and results of a testing program which assessed the impact of force reflection on teleoperator task performance are reported. Force relection is a type of force feedback in which the forces acting on the remote portion of the teleoperator are displayed to the operator by back-driving the master controller. The testing program compared three force reflection levels: 4 to 1 (four units of force on the slave produce one unit of force at the master controller), 1 to 1, and infinity to 1 (no force reflection). Time required to complete tasks, rate of occurrence of errors, the maximum force applied to tasks components, and variability in forces applied to components during completion of representative remote handling tasks were used as dependent variables. Operators exhibited lower error rates, lower peak forces, and more consistent application of forces using force relection than they did without it. These data support the hypothesis that force reflection provides useful information for teleoperator users. The earlier literature and the results of the experiment are discussed in terms of their implications for space based teleoperator systems. The discussion described the impact of force reflection on task completion performance and task strategies, as suggested by the literature. It is important to understand the trade-offs involved in using telerobotic systems with and without force reflection

    Realism in Bret Harte

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    Thesis (M.A.)--Boston Universit

    A Theory of Cramer-Rao Bounds for Constrained Parametric Models

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    A simple expression for the Cram'er-Rao bound (CRB) is presented for the scenario of estimating parameters θ\theta that are required to satisfy a differentiable constraint function f(θ)f(\theta). A proof of this constrained CRB (CCRB) is provided using the implicit function theorem, and the encompassing theory of the CCRB is proven in a similar manner. This theory includes connecting the CCRB to notions of identifiability of constrained parameters; the linear model under a linear constraint; the constrained maximum likelihood problem, it's asymptotic properties and the method of scoring with constraints; and hypothesis testing. The value of the tools developed in this theory are then presented in the communications context for the convolutive mixture model and the calibrated array model
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