Deployable reflector antenna performance optimization using automated surface correction and array-feed compensation

Methods for increasing the electromagnetic (EM) performance of reflectors with rough surfaces were tested and evaluated. First, one quadrant of the 15-meter hoop-column antenna was retrofitted with computer-driven and controlled motors to allow automated adjustment of the reflector surface. The surface errors, measured with metric photogrammetry, were used in a previously verified computer code to calculate control motor adjustments. With this system, a rough antenna surface (rms of approximately 0.180 inch) was corrected in two iterations to approximately the structural surface smoothness limit of 0.060 inch rms. The antenna pattern and gain improved significantly as a result of these surface adjustments. The EM performance was evaluated with a computer program for distorted reflector antennas which had been previously verified with experimental data. Next, the effects of the surface distortions were compensated for in computer simulations by superimposing excitation from an array feed to maximize antenna performance relative to an undistorted reflector. Results showed that a 61-element array could produce EM performance improvements equal to surface adjustments. When both mechanical surface adjustment and feed compensation techniques were applied, the equivalent operating frequency increased from approximately 6 to 18 GHz

THE LACK OF A PROFIT MOTIVE FOR RANCHING: IMPLICATIONS FOR POLICY ANALYSIS

The economic impact of changing land-use policies has traditionally been estimated using the standard economic model of profit maximization. Ranchers are assumed to maximize profit and to adjust production strategies so as to continue maximizing profit with altered policies. Yet, nearly 30 years of research and observation have shown that family, tradition, and the desirable way of life are the most important factors in the ranch purchase decision - not profit. Ranch buyers want an investment they can touch, feel, and enjoy, and they historically have been willing to accept relatively low returns from the livestock production. Profit maximization appears to be an inadequate model for explaining rancher behavior, describing grazing land use, and estimating the impacts of altered public land policies. In this paper, we investigate the relative importance of livestock production income and desirable lifestyle attributes in determining the market value of western ranches, and we explore what this means for economic models and policy analysis.Agricultural and Food Policy, Land Economics/Use,

Personal Meaning Mapping as a Tool to Uncover Learning from an Out-of-doors Free-choice Learning Garden

Garden-based learning (GBL), a form of outdoor education contextualized and framed within unpredictable and real-world learning environments, is ideally suited to the teaching of science. However, the vast majority of GBL educational research has utilized a cognitive and positivist research paradigm, one that artificially restricts the investigative lens. The goal of the larger project from which this paper was drawn was to develop a better understanding of how youth perceived a garden experience. This paper shares the affordances and constraints of the constructivist framework utilized and the primary measurement tool, Person Meaning Mapping (PMM). Despite some inherent limitations, the PMM methodology enabled important insights that enhanced understandings of the effects of GBL

After Regions: what next for local enterprise partnerships?

Standing out as an oddity in comparison to the convergence of policy across EU nations whereby the merits of regional apparatus – however defined – for administering development support appear to be accepted, the UK Government has abandoned England’s experiment with regionalism. Under the banner of localism, providing the thinnest of masks for swingeing public expenditure cuts, sub-national development activity (encompassing planning, regeneration, infrastructure development, enterprise support and spatial leadership) is in the throes of considerable economic shifts, policy flux and institutional upheaval (Ward & Hardy, 2012). This article attempts to address some of the questions posed in The regional lacuna: a preliminary map of the transition from Regional Development Agencies to Local Economic Partnerships (Pugalis, 2011) and helps to advance some of the points relating to the emerging sub-national development landscape published in recent issues of Regions (e.g. Bailey, 2011). The purpose is to take stock of policy developments underway by means of a post-regional sub-national review in order to outline the future development trajectory of Local Enterprise Partnerships

Too Many Hurdles: Barriers to Receiving SNAP Put Childrens Health at Risk

Summary of Findings

LIHEAP Stabilizes Family Housing and Protects Children's Health

The heating and cooling season presents special challenges for our nation's low-income families. With limited resources, many are challenged to manage the seasonal spike in utility expenses, facing decisions about whether to pay the rent, keep the lights and heat on, or buy enough groceries to get through the end of the month. We know that each of these decisions will have significant implications for the health of their youngest children. Unfortunately, these tough choices are all too common this winter as the nation experiences increases in energy prices, unusually cold weather, and continued high unemployment

SLoMo: automated site localization of modifications from ETD/ECD mass spectra

Recently, software has become available to automate localization of phosphorylation sites from CID data and to assign associated confidence scores. We present an algorithm, SLoMo (Site Localization of Modifications), which extends this capability to ETD/ECD mass spectra. Furthermore, SLoMo caters for both high and low resolution data and allows for site-localization of any UniMod post-translational modification. SLoMo accepts input data from a variety of formats (e.g., Sequest, OMSSA). We validate SLoMo with high and low resolution ETD, ECD, and CID data