The paradigm compiler: Mapping a functional language for the connection machine

The Paradigm Compiler implements a new approach to compiling programs written in high level languages for execution on highly parallel computers. The general approach is to identify the principal data structures constructed by the program and to map these structures onto the processing elements of the target machine. The mapping is chosen to maximize performance as determined through compile time global analysis of the source program. The source language is Sisal, a functional language designed for scientific computations, and the target language is Paris, the published low level interface to the Connection Machine. The data structures considered are multidimensional arrays whose dimensions are known at compile time. Computations that build such arrays usually offer opportunities for highly parallel execution; they are data parallel. The Connection Machine is an attractive target for these computations, and the parallel for construct of the Sisal language is a convenient high level notation for data parallel algorithms. The principles and organization of the Paradigm Compiler are discussed

Data Mining with Multivariate Kernel Regression Using Information Complexity and the Genetic Algorithm

Kernel density estimation is a data smoothing technique that depends heavily on the bandwidth selection. The current literature has focused on optimal selectors for the univariate case that are primarily data driven. Plug-in and cross validation selectors have recently been extended to the general multivariate case. This dissertation will introduce and develop new and novel techniques for data mining with multivariate kernel density regression using information complexity and the genetic algorithm as a heuristic optimizer to choose the optimal bandwidth and the best predictors in kernel regression models. Simulated and real data will be used to cross validate the optimal bandwidth selectors using information complexity. The genetic algorithm is used in conjunction with information complexity to determine kernel density estimates for variable selection from high dimension multivariate data sets. Kernel regression is also hybridized with the implicit enumeration algorithm to determine the set of independent variables for the global optimal solution using information criteria as the objective function. The results from the genetic algorithm are compared to the optimal solution from the implicit enumeration algorithm and the known global optimal solution from an explicit enumeration of all possible subset models

Contract over Target Baseline (OTB) Effect on Earned Value Management\u27s Cost Performance Index (CPI)

Cost growth is a problem in U.S. Department of Defense (DoD) acquisitions. A particular component of cost growth is a cost overrun or Over Target Baseline (OTB). In 2009, Trahan found that the Gompertz growth curve better predicted program Estimates at Completion (EAC) for OTB contracts. In 2010, Thickstun studied “the relationships between overruns and a variety of factors,” but found OTB occurrences “random” and questioned the benefit of the OTB process (Thickstun, 2010). In this research, we study OTB‟s ability to effect improved program cost performance; we examine OTB‟s effect on the cumulative Cost Performance Index (CPI) slope after an OTB intervention. We find there is no statistically significant change in cumulative CPI slope after OTB. For the data studied, an OTB investment does not significantly improve management‟s ability to earn cost value as reflected in the cumulative CPI slope

An Integrated Precision Production and Environmental Management Analysis of a Kentucky Dairy Farm

This study compares and contrasts the profitability of different dairy management practices through precision livestock farming. Feed analysis and crop yields were simulated. The proposed alternative feeding program demonstrated less manure and nutrient excretions. When mathematical programming model was employed, uniform rate application manifested the highest selected economic values.Management practices, environmental, Environmental Economics and Policy,

Detection of 3-Minute Oscillations in Full-Disk Lyα\alpha Emission During A Solar Flare

In this Letter we report the detection of chromospheric 3-minute oscillations in disk-integrated EUV irradiance observations during a solar flare. A wavelet analysis of detrended Lyman-alpha (from GOES/EUVS) and Lyman continuum (from SDO/EVE) emission from the 2011 February 15 X-class flare (SOL2011-02-15T01:56) revealed a $\sim$3-minute period present during the flare's main phase. The formation temperature of this emission locates this radiation to the flare's chromospheric footpoints, and similar behaviour is found in the SDO/AIA 1600\AA\ and 1700\AA\ channels, which are dominated by chromospheric continuum. The implication is that the chromosphere responds dynamically at its acoustic cutoff frequency to an impulsive injection of energy. Since the 3-minute period was not found at hard X-ray energies (50-100 keV) in RHESSI data we can state that this 3-minute oscillation does not depend on the rate of energization of non-thermal electrons. However, a second period of 120 s found in both hard X-ray and chromospheric emission is consistent with episodic electron energization on 2-minute timescales. Our finding on the 3-minute oscillation suggests that chromospheric mechanical energy should be included in the flare energy budget, and the fluctuations in the Lyman-alpha line may influence the composition and dynamics of planetary atmospheres during periods of high activity.Comment: 6 pages, 5 figures. Accepted for publication in Astrophysics Journal Letter

Recent Developments in the Law of the Sea V: A Synopsis

Each year, as part of the San Diego Law Review\u27s symposium on law of the sea, a student article is dedicated to a synopsis of recent events in the field. The function of such as article is to provide the reader with a broadly circumscribed report of recent developments presented under the topic headings of conservation, fishing, pollution, seabed resources, shipping and sovereignty. This year\u27s compendium covers the period between January 1, 1973 and December 31, 1973. A myriad of sources are represented including the United States Code Congressional and Administrative News, the Environmental Reporter, International Legal Materials, the United Nations Chronicle, the Congressional Record and the New York Times

Quasi-Periodic Pulsations during the Impulsive and Decay phases of an X-class Flare

Quasi-periodic pulsations (QPP) are often observed in X-ray emission from solar flares. To date, it is unclear what their physical origins are. Here, we present a multi-instrument investigation of the nature of QPP during the impulsive and decay phases of the X1.0 flare of 28 October 2013. We focus on the character of the fine structure pulsations evident in the soft X-ray time derivatives and compare this variability with structure across multiple wavelengths including hard X-ray and microwave emission. We find that during the impulsive phase of the flare, high correlations between pulsations in the thermal and non-thermal emissions are seen. A characteristic timescale of ~20s is observed in all channels and a second timescale of ~55s is observed in the non-thermal emissions. Soft X-ray pulsations are seen to persist into the decay phase of this flare, up to 20 minutes after the non-thermal emission has ceased. We find that these decay phase thermal pulsations have very small amplitude and show an increase in characteristic timescale from ~40s up to ~70s. We interpret the bursty nature of the co-existing multi-wavelength QPP during the impulsive phase in terms of episodic particle acceleration and plasma heating. The persistent thermal decay phase QPP are most likely connected with compressive MHD processes in the post-flare loops such as the fast sausage mode or the vertical kink mode.Comment: 7 pages, 4 figures, 1 tabl

Institutional memory: we need a more dynamic understanding of the way institutions remember

Institutional memory is central to the task of governing. But existing understandings of how institutional memory works are too limiting and rooted in an ontological falsehood, argue Jack Corbett, Dennis C. Grube, Heather Lovell, and Rodney Scott. They explain why a more dynamic approach is needed