25,534 research outputs found

    The Use of Graduated Scenarios to Facilitate the Learning of Complex and Difficult-to-describe Concepts

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    There are many complex concepts in higher education learning that are difficult to convey to learners in words. Some examples are reflective learning, critical thinking, clinical reasoning; processes of evaluation (e.g. in art and design subjects) and professional practice (eg teaching itself). These are important concepts that evade straight forward uses of language that might explain how to ‘do’ them and how then to ‘do them better’ or at a ‘deeper level’ and so on. This paper explores a method that has been developed to facilitate the learning of such concepts - the graduated scenario technique. The paper describes the initial development of the method with respect to the concept of reflective learning. Graduated scenarios are based on two practices – firstly, the use of examples and demonstrations that show learners – in this case - how to write reflectively. Secondly they demonstrate the characteristics of deep reflection as opposed to superficial and descriptive reflection. This demonstration is made explicit at the end of the exercise, in a framework for,– in this case, reflective learning. The assumption is made that better quality learning emanates from deeper reflection (eg Hatton and Smith, 1995). The paper goes on to discuss the application of the graduated scenario technique to critical thinking. It then moves to a more generic approach, considering why such the technique appears to be helpful - and it provides examples of other areas of learning in which the it could be used

    Normal Approximation in Large Network Models

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    We develop a methodology for proving central limit theorems in network models with strategic interactions and homophilous agents. Since data often consists of observations on a single large network, we consider an asymptotic framework in which the network size tends to infinity. In the presence of strategic interactions, network moments are generally complex functions of components, where a node's component consists of all alters to which it is directly or indirectly connected. We find that a modification of "exponential stabilization" conditions from the stochastic geometry literature provides a useful formulation of weak dependence for moments of this type. We establish a CLT for a network moments satisfying stabilization and provide a methodology for deriving primitive sufficient conditions for stabilization using results in branching process theory. We apply the methodology to static and dynamic models of network formation

    On Generalized Monopole Spherical Harmonics and the Wave Equation of a Charged Massive Kerr Black Hole

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    We find linearly independent solutions of the Goncharov-Firsova equation in the case of a massive complex scalar field on a Kerr black hole. The solutions generalize, in some sense, the classical monopole spherical harmonic solutions previously studied in the massless cases.Comment: Accepted for publication, Mod. Phys. Lett. A. 13 pages, including reference

    A chequered renaissance: the evolution of Maori society, 1984-2004

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    This article traces aspects of the evolution of Maori society in the two decades following the Hui Taumata in 1984. Issues of language, political and self-determination, and Treaty settlements are explored for their contribution to this evolution

    Are All Scale Economies in Banking Elusive or Illusive: Evidence Obtained by Incorporating Capital Structure and Risk Taking into Models of Bank Production

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    This paper explores how to incorporate banks' capital structure and risk-taking into models of production. In doing so, the paper bridges the gulf between (1) the banking literature that studies moral hazard effects of bank regulation without considering the underlying microeconomics of production and (2) the literature that uses dual profit and cost functions to study the microeconomics of bank production without explicitly considering how banks' production decisions influence their riskiness. Various production models that differ in how they account for capital structure and in the objectives they impute to bank managers -- cost minimization versus value maximization -- are estimated using U.S. data on highest-level bank holding companies. Modeling the bank's objective as value maximization conveniently incorporates both market-priced risk and expected cash flow into managers' ranking and choice of production plans. Estimated scale economies are found to depend critically on how banks' capital structure and risk-taking is modeled. In particular, when equity capital, in addition to debt, is included in the production model and cost is computed from the value-maximizing expansion path rather than the cost-minimizing path, banks are found to have large scale economies that increase with size. Moreover, better diversification is associated with larger scale economies while increased risk-taking and inefficient risk-taking are associated with smaller scale economies.

    Time, Place, Space, Technology and Corporate Real Estate Strategy

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    Few corporations take a strategic approach to managing real estate. This survey finds that corporate real estate managers and service providers in Australia, Hong Kong, the United Kingdom and the United States continue to fulfill a traditional transactional role within their organizations. Real estate is not cooperating with other parts of the organization to provide their companies with flexibility that could increase competitiveness. While the use of technology is growing, real estate managers remain uncertain about its role in their future. Corporate real estate managers believe that to be effective in the future they will need strategic planning skills and business knowledge.

    Are scale economies in banking elusive or illusive? Evidence obtained by incorporating capital structure and risk-taking into models of bank production.

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    This paper explores how to incorporate banks' capital structure and risk-taking into models of production. In doing so, the paper bridges the gulf between (1) the banking literature that studies moral hazard effects of bank regulation without considering the underlying microeconomics of production and (2) the literature that uses dual profit and cost functions to study the microeconomics of bank production without explicitly considering how banks' production decisions influence their riskiness. ; Various production models that differ in how they account for capital structure and in the objectives they impute to bank managers--cost minimization versus value maximization--are estimated using U.S. data on highest-level bank holding companies. Modeling the banks' objective as value maximization conveniently incorporates both market-priced risk and expected cash flow into managers' ranking and choice of production plans. ; Estimated scale economies are found to depend critically on how banks' capital structure and risk-taking is modeled. In particular, when equity capital, in addition to debt, is included in the production model and cost is computed from the value-maximizing expansion path rather than the cost-minimizing path, banks are found to have large scale economies that increase with size. Moreover, better diversification is associated with larger scale economies while increased risk-taking and inefficient risk-taking are associated with smaller scale economies.Bank capital ; Bank supervision ; Production (Economic theory)

    Arkansas Wheat Cultivar Performance Tests 2018-2019

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    Wheat cultivar performance tests are conducted each year in Ark- ansas by the University of Arkansas System Division of Agriculture’s Arkansas Agricultural Experiment Station, Department of Crop, Soil and Environmental Sciences. The tests provide information to companies developing cultivars and marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating cultivar recommendations for small-grain producers. The tests are conducted at the Northeast Research and Extension Center at Keiser, the Vegetable Substation near Kibler, the Lon Mann Cotton Research Station near Marianna, the Newport Extension Center near Newport, the Rohwer Research Station near Rohwer, the Pine Tree Research Station near Colt, and the Hope Research and Extension Center. In addition, entries are evaluated in a stripe rust (Puccinia striiformis f.sp. tritici) inoculated nursery in Fayetteville and a Fusarium head blight (FHB) inoculated nursery in Newport and Fayetteville. Specific location and cultural practice information accompany each table

    Arkansas Wheat Cultivar Performance Tests 2016-2017

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    Wheat cultivar performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture’s Arkansas Agricultural Experiment Station, Department of Crop, Soil and Environmental Sciences. The tests provide information to companies developing cultivars and marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating cultivar recommendations for small-grain producers

    Cislunar Navigation Techniques and Navigation Performance Optimization

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    Nova-C is a lunar lander developed by the private company Intuitive Machines to deliver commercial payloads to the Moon. The IM-1 mission set for 2023 will launch and land the Nova-C near the Moon\u27s south pole. In this research, various navigation techniques are explored to determine the lander\u27s position and velocity during key segments. This process is studied for key mission events including trajectory correction maneuvers (TCMs), lunar orbit insertion (LOI), and descent orbit insertion (DOI). Each mission segment, referred to as an Orbit Determination Segment (OD), is analyzed with three different navigation techniques: Monte Carlo Analysis, Linear Covariance Analysis, and Dilution of Precision Analysis. The results are matched against each other to validate consistency. The quicker navigation techniques, specifically Linear Covariance and Dilution of Precision, are implemented into a genetic algorithm to determine optimal ground station tracking schedules. Said optimal schedules are optimal with respect to various objectives, including final position errors and operational costs. Operational costs and navigation errors are combined to form a new metric, referred to as Nav-Dollars, that analyzes the trade off between real costs and estimation performance
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