4,000 research outputs found

    Special studies of AROD system concepts and designs

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    Signal processing techniques for range and range rate measurements in airborne range and orbit determinatio

    Exact Solution for the Time Evolution of Network Rewiring Models

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    We consider the rewiring of a bipartite graph using a mixture of random and preferential attachment. The full mean field equations for the degree distribution and its generating function are given. The exact solution of these equations for all finite parameter values at any time is found in terms of standard functions. It is demonstrated that these solutions are an excellent fit to numerical simulations of the model. We discuss the relationship between our model and several others in the literature including examples of Urn, Backgammon, and Balls-in-Boxes models, the Watts and Strogatz rewiring problem and some models of zero range processes. Our model is also equivalent to those used in various applications including cultural transmission, family name and gene frequencies, glasses, and wealth distributions. Finally some Voter models and an example of a Minority game also show features described by our model.Comment: This version contains a few footnotes not in published Phys.Rev.E versio

    Young Lives and Imagined Futures: Insights from Archived Data

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    On 15th November 2010, Timescapes and the UK Data Archive (UKDA) hosted a seminar ‘Young Lives and Imagined Futures: Analysing and Re-Analysing Narrative Data on Young Lives.’ The seminar investigated data on young people’s orientationto their future lives. In addition to engaging with time and young lives, the seminar also explored methodologies for primary and secondary analysis of historical and contemporary datasets. In this working paper we bring together two papers from this event: Graham Crow and Dawn Lyon’s ‘Turning points in work and family life in the imagined futures of young people on Sheppey in 1978’ and Mandy Winterton and Sarah Irwin’s ‘Youngsters’ expectations and context: secondary analysis and interpretation’. These papers are significant together because they both draw on secondary analysis projects, constructing new insight from archived data collected by others and for other purposes. These two papers draw heavily on similar kinds of data to explore young people’s lives and imagined futures, although in very different ways. Yet it is worth noting that they were never pre-designed to sit so readily side by side. There was no discussion between the authors at any point. It was entirely fortuitous that they offered, by the extent of their similarities and difference, stimulating insight about the possibilities of qualitative secondary analysis when placed side by side. Before introducing these two papers, we provide some insight into the context of the day. We can only map below the nature and diversity of the research that was presented and cannot do justice here to the complexity and richness of the research that was offered

    A Virtual Classroom Via Dataconferencing: A Multi-Institutional Experience

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    This paper presents the experience of five faculty from four universities who are co-developing and team teaching courses using the world-wide web (WWW). In particular two novel power engineering courses, Flexible Control of Transmission Systems and Flexible Control of Distribuction Systems, introduce the student to the application of power electronic-based controllers, known specifically as flexible AC transmission systems (FACTS) controllers, to enhance the performance of the transmission and distribution systems in an electric power system. In order to leverage faculty expertise in the various topics included in each course, a unique partnership was formed among five faculty from the following universities: University of Arkansas, Kansas State University, University of Missouri--Rolla and Purdue University. In order to achieve the most effective presentation, in the presence of geographical, cost, time and technology constraints, the co-developers decided to pursue various distance learning strategies to link the four universities together in a live interactive virtual classroom utilizing dataconferencing software and the WWW. In this paper we address the trials and tribulations of our experience. In particular, we discuss the use of video tape technology by mail, the use of live audio and video via an integrated service digital network (ISDN) approach, and lastly, dataconferencing software in conjunction with telephone conferencing. Each of these alternative methodologies are examined in detail and are compared and contrasted from a cost and pedagogical point of view based on our experience

    Collaborative Distance Education in Power Engineering

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    This paper presents a perspective on offering shared-courses, or courses simultaneously offered at two or more universities via various distance educational frameworks. Over a three year duration, two senior/graduate level courses were jointly developed and offered to the students at the University of Missouri--Rolla, the University of Arkansas, Kansas State University, and Purdue University. This paper discusses the various distance educational technologies including two-way audio/visual via ISDN line, video-tapes, and web-based conferencing. Both instructor and student reactions to these mediums are included. Pedagogical methods appropriate for these mediums are outlined. The paper concludes with recommendations and strategies for engineering institutions who would like to course-share with other universities and industry

    A Multi-Institutional Cooperative Approach to Power Engineering Education

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    This paper describes the multi-institutional cooperative effort between the University of Missouri--Rolla, Kansas State University, and the University of Arkansas to develop two new courses in flexible power system control

    Charged State of a Spherical Plasma in Vacuum

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    The stationary state of a spherically symmetric plasma configuration is investigated in the limit of immobile ions and weak collisions. Configurations with small radii are positively charged as a significant fraction of the electron population evaporates during the equilibration process, leaving behind an electron distribution function with an energy cutoff. Such charged plasma configurations are of interest for the study of Coulomb explosions and ion acceleration from small clusters irradiated by ultraintense laser pulses and for the investigation of ion bunches propagation in a plasma

    Finite-size scaling of the error threshold transition in finite population

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    The error threshold transition in a stochastic (i.e. finite population) version of the quasispecies model of molecular evolution is studied using finite-size scaling. For the single-sharp-peak replication landscape, the deterministic model exhibits a first-order transition at Q=Qc=1/aQ=Q_c=1/a, where Q% Q is the probability of exact replication of a molecule of length L→∞L \to \infty, and aa is the selective advantage of the master string. For sufficiently large population size, NN, we show that in the critical region the characteristic time for the vanishing of the master strings from the population is described very well by the scaling assumption \tau = N^{1/2} f_a \left [ \left (Q - Q_c) N^{1/2} \right ] , where faf_a is an aa-dependent scaling function.Comment: 8 pages, 3 ps figures. submitted to J. Phys.

    The statistical mechanics of a polygenic characterunder stabilizing selection, mutation and drift

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    By exploiting an analogy between population genetics and statistical mechanics, we study the evolution of a polygenic trait under stabilizing selection, mutation, and genetic drift. This requires us to track only four macroscopic variables, instead of the distribution of all the allele frequencies that influence the trait. These macroscopic variables are the expectations of: the trait mean and its square, the genetic variance, and of a measure of heterozygosity, and are derived from a generating function that is in turn derived by maximizing an entropy measure. These four macroscopics are enough to accurately describe the dynamics of the trait mean and of its genetic variance (and in principle of any other quantity). Unlike previous approaches that were based on an infinite series of moments or cumulants, which had to be truncated arbitrarily, our calculations provide a well-defined approximation procedure. We apply the framework to abrupt and gradual changes in the optimum, as well as to changes in the strength of stabilizing selection. Our approximations are surprisingly accurate, even for systems with as few as 5 loci. We find that when the effects of drift are included, the expected genetic variance is hardly altered by directional selection, even though it fluctuates in any particular instance. We also find hysteresis, showing that even after averaging over the microscopic variables, the macroscopic trajectories retain a memory of the underlying genetic states.Comment: 35 pages, 8 figure
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