Problems Integrating O.D. Theory, Research, and Practice in A Small Organization

John E. Oliver, Jr., is an Associate Professor of Management at Valdosta Slate College, Valdosta, Georgia

Meteorological Interactive Data Display System (MID

A project has been implemented to fabricate, deliver, and install a Meteorological Interactive Data Display System (MIDDS) at the United States Air Force\u27s (USAF) Cape Canaveral Forecast Facility (CCFF), Cape Canaveral AFS (CCAFS), Florida. The MIDDS system will ingest special mesoscale meteorological data sources; merge them together into a gridded data base composed of satellite, radar, and conventional meteorological observations; integrate the data into forms where they can be displayed alone or in conjunction with correlative data; and then display the required meteorological information quickly and easily for use by the CCFF forecasters. The MIDDS, a joint NASA and AF project, will significantly improve current capabilities, particularly during Space Shuttle landings where improved 0-3 hour mesoscale forecasts are required

Paper Session I-A - Starlab Overview

Stariab, a test bed designed to be flown on NASA\u27s Space Shuttle, will be used to conduct a series of acquisition, tracking, and pointing (ATP) experiments that are relevant to the Strategic Defense Initiative (SDI) Mission. In the primary experiment, Stariab will acquire, track, and precisely point a laser beam at an instrumented 4-stage booster rocket known as Starbird. Simultaneously, booster plume data will be collected at a variety of wavelengths and at resolutions never before achieved in space. Stariab will also be used to demonstrate advanced adaptive optics techniques using a booster plume source, rapid optical retargeting, and laser communications from space to below the ocean\u27s surface. In addition, Stariab will be used to collect data on earthspace backgrounds and on adaptive optics systems used to compensate for atmospheric turbulence

Managing media uncertainty: exploring multiple futures with multiple strategies

The UK Media Industry operates in a highly turbulent environment, and one that is primarily characterised by rapid changes in digital technologies and the threat of new competitive entrants (Kung 2008; Doyle, 2013; Oliver, 2013). Similarly, new digital technologies have dis-intermediated value chains (Barwise and Picard, 2012) and changed the dynamics of the industry to the extent that traditional broadcast media companies no longer act as the sole intermediaries of mediated content. Indeed, innovative Internet Protocal TV (IPTV), Web TV and streaming services provided by the likes BT Vision, YouTube and Amazon Prime are making significant in-roads into traditional audience market share, particularly amongst the younger demographic. This type of competitive environment makes it difficult for media executives who are responsible for planning and executing Corporate Level Strategy. This in turn places increased scrutiny on the strategic planning tools that are used to undertake a rational and comprehensive analysis of the competitive dynamics and inform strategy formulation. This paper will present empirical findings and reflections on a scenario planning project that sought to develop a long-term Corporate Level Strategy for YouTube. As such, it is positioned within the ‘Strategy as Practice’ (Whittington, 1996; Jarzabkowski & Kaplan, 2015) domain as it combines academics with an interest in the practice of media management, with media practitioners. This view of media strategy focuses on the ‘doing of strategy’ and is particularly interested in the methods and tools that executives use to develop their media organisation’s strategy. As such, this paper presents empirical findings and reflections on a scenario planning project with media industry practitioners who sought to develop a long-term Corporate Level Strategy in the most uncertain of media environments. The use of Scenario Planning as a management tool is apt, since Oliver (2013) found it to be ‘Power Tool’ in the management of UK media firms due to the high levels of usage and satisfaction that companies were reporting

Vertex-element models for anisotropic growth of elongated plant organs

New tools are required to address the challenge of relating plant hormone levels, hormone responses, wall biochemistry and wall mechanical properties to organ-scale growth. Current vertex-based models (applied in other contexts) can be unsuitable for simulating the growth of elongated organs such as roots because of the large aspect ratio of the cells, and these models fail to capture the mechanical properties of cell walls in sufficient detail. We describe a vertex-element model which resolves individual cells and includes anisotropic non-linear viscoelastic mechanical properties of cell walls and cell division whilst still being computationally efficient. We show that detailed consideration of the cell walls in the plane of a 2D simulation is necessary when cells have large aspect ratio, such as those in the root elongation zone of Arabidopsis thaliana, in order to avoid anomalous transverse swelling. We explore how differences in the mechanical properties of cells across an organ can result in bending and how cellulose microfibril orientation affects macroscale growth. We also demonstrate that the model can be used to simulate growth on realistic geometries, for example that of the primary root apex, using moderate computational resources. The model shows how macroscopic root shape can be sensitive to fine-scale cellular geometries

Hybrid vertex-midline modelling of elongated plant organs

We describe a method for the simulation of the growth of elongated plant organs, such as seedling roots. By combining a midline representation of the organ on a tissue scale and a vertex-based representation on the cell scale, we obtain a multiscale method, which is able to both simulate organ growth and incorporate cell-scale processes. Equations for the evolution of the midline are obtained, which depend on the cell-wall properties of individual cells through appropriate averages over the vertex-based representation. The evolution of the organ midline is used to deform the cellular-scale representation. This permits the investigation of the regulation of organ growth through the cell-scale transport of the plant hormone auxin. The utility of this method is demonstrated in simulating the early stages of the response of a root to gravity, using a vertex-based template acquired from confocal imaging. Asymmetries in the concentrations of auxin between the upper and lower sides of the root lead to bending of the root midline, reflecting a gravitropic response

Protected gates for topological quantum field theories

We study restrictions on locality-preserving unitary logical gates for topological quantum codes in two spatial dimensions. A locality-preserving operation is one which maps local operators to local operators --- for example, a constant-depth quantum circuit of geometrically local gates, or evolution for a constant time governed by a geometrically-local bounded-strength Hamiltonian. Locality-preserving logical gates of topological codes are intrinsically fault tolerant because spatially localized errors remain localized, and hence sufficiently dilute errors remain correctable. By invoking general properties of two-dimensional topological field theories, we find that the locality-preserving logical gates are severely limited for codes which admit non-abelian anyons; in particular, there are no locality-preserving logical gates on the torus or the sphere with M punctures if the braiding of anyons is computationally universal. Furthermore, for Ising anyons on the M-punctured sphere, locality-preserving gates must be elements of the logical Pauli group. We derive these results by relating logical gates of a topological code to automorphisms of the Verlinde algebra of the corresponding anyon model, and by requiring the logical gates to be compatible with basis changes in the logical Hilbert space arising from local F-moves and the mapping class group.Comment: 50 pages, many figures, v3: updated to match published versio