24,090 research outputs found

    MACHINERY COSTS AND INFLATION

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    This article addresses (1) the differences in machinery cost estimating techniques, particularly for depreciation and opportunity cost, and (2) the necessary modifications in cost estimating techniques to account for the changing monetary base under inflation. The conditions under which capital budgeting and traditional budgeting differ are examined on a before tax and after tax basis, with and without inflation. The variations in cost estimates depending upon techniques, and with and without inflation, are compared.Agricultural Finance,

    Small World Graphs by the iterated "My Friends are Your Friends'' Principle

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    We study graphs obtained by successive creation and destruction of edges into small neighborhoods of the vertices. Starting with a circle graph of large diameter we obtain small world graphs with logarithmic diameter, high clustering coefficients and a fat tail distribution for the degree. Only local edge formation processes are involved and no preferential attachment was used. Furthermore we found an interesting phase transition with respect to the initial conditions.Comment: Latex, 12 pages with 10 figure

    INCORPORATING SAFETY-FIRST CONSTRAINTS IN LINEAR PROGRAMMING PRODUCTION MODELS

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    A recent survey indicated that many procedures view risk in a safety-first context. Traditional methods used to impose safety-first constraints in optimization models have often been difficult to implement. This is particularly true when endogenous decisions affect the distribution of the chance-constrained random variable. This paper presents a method whereby probabilistic constraints can be easily imposed upon finitely discrete random variables. The procedure uses a linear version of the lower partial moment stochastic inequality. The resulting solutions are somewhat conservative but are less so than the results using the previously published mean income-absolute deviation stochastic inequality.Production Economics, Research Methods/ Statistical Methods,

    Hardcore classification: identifying play styles in social games using network analysis

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    In the social network of a web-based online game, all players are not equal. Through network analysis, we show that the community of players in a online social game is an example of a scale free small world network and that the growth of the player-base obeys a power law. The community is centred around a minority group of ``hardcore" players who define the social environment for the game, and without whom the social network would collapse. Methods are discussed for identifying this critically important subset of players automatically through analysing social behaviours within the game

    PERFORMANCE OF RISK-INCOME MODELS OUTSIDE THE ORIGINAL DATA SET

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    Selected risk programming solutions (i.e., profit maximization, Target-MOTAD, and MOTAD) are tested in an economic environment outside the data set from which they were developed. Specifically, solutions are derived from either a longer 10-year (1965-74) or shorter 6-year estimation period (1969-74), and then, they are tested for consistent risk-income characteristics over a later 10-year period (1975-84). Risk solutions estimated from earlier periods perform well in the later test period in spite of different economic conditions between time periods. However, favorable performance may be related to the specific example used in this analysis. Further testing for other farm situations is needed before general conclusions can be reached.Risk and Uncertainty,

    Functional centrality in graphs

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    In this paper we introduce the functional centrality as a generalization of the subgraph centrality. We propose a general method for characterizing nodes in the graph according to the number of closed walks starting and ending at the node. Closed walks are appropriately weighted according to the topological features that we need to measure

    A measurement of the cosmic ray elements C to Fe in the two energy intervals 0.5-2.0 GeV/n and 20-60 GeV/n

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    The study of the cosmic ray abundances beyond 20 GeV/n provides additional information on the propagation and containment of the cosmic rays in the galaxy. Since the average amount of interstellar material traversed by cosmic rays decreases as its energy increases, the source composition undergoes less distortion in this higher energy region. However, data over a wide energy range is necessary to study propagation parameters. Some measurements of some of the primary cosmic ray abundance ratios at both low (near 2 GeV/n) and high (above 20 GeV/n) energy are given and compared to the predictions of the leaky box mode. In particular, the integrated values (above 23.7 GeV/n) for the more abundant cosmic ray elements in the interval C through Fe and the differential flux for carbon, oxygen, and the Ne, Mg, Si group are presented. Limited statistics prevented the inclusion of the odd Z elements

    The lowest singlet-triplet excitation energy of BN: a converged coupled cluster perspective

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    The notoriously small X3Πa1Σ+X ^3\Pi-a ^1\Sigma^+ excitation energy of the BN diatomic has been calculated using high-order coupled cluster methods. Convergence has been established in both the 1-particle basis set and the coupled cluster expansion. Explicit inclusion of connected quadruple excitations T^4\hat{T}_4 is required for even semiquantitative agreement with the limit value, while connected quintuple excitations T^5\hat{T}_5 still have an effect of about 60 cm1^{-1}. Still higher excitations only account for about 10 cm1^{-1}. Inclusion of inner-shell correlation further reduces TeT_e by about 60 cm1^{-1} at the CCSDT, and 85 cm1^{-1} at the CCSDTQ level. Our best estimate, TeT_e=183±\pm40 cm1^{-1}, is in excellent agreement with earlier calculations and experiment, albeit with a smaller (and conservative) uncertainty. The dissociation energy of BN(X3ΠX ^3\Pi) is DeD_e=105.74±\pm0.16 kcal/mol and D0D_0=103.57±\pm0.16 kcal/mol.Comment: J. Chem. Phys., in pres

    Thermodynamic limit of the first-order phase transition in the Kuramoto model

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    In the Kuramoto model, a uniform distribution of the natural frequencies leads to a first-order (i.e., discontinuous) phase transition from incoherence to synchronization, at the critical coupling parameter KcK_c. We obtain the asymptotic dependence of the order parameter above criticality: rrc(KKc)2/3r-r_c \propto (K-K_c)^{2/3}. For a finite population, we demonstrate that the population size NN may be included into a self-consistency equation relating rr and KK in the synchronized state. We analyze the convergence to the thermodynamic limit of two alternative schemes to set the natural frequencies. Other frequency distributions different from the uniform one are also considered.Comment: 6 page
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