6,916 research outputs found

    Supersymmetric Chern-Simons Theory and Supersymmetric Quantum Hall Liquid

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    We develop a supersymmetric extension of Chern-Simons theory and Chern-Simons-Landau-Ginzburg theory for supersymmetric quantum Hall liquid. Supersymmetric counterparts of topological and gauge structures peculiar to the Chern-Simons theory are inspected in the supersymmetric Chern-Simons theory. We also explore an effective field theoretical description for the supersymmetric quantum Hall liquid. The key observation is the the charge-flux duality. Based on the duality, we derive a dual supersymmetric Chern-Simons-Landau-Ginzburg theory, and discuss physical properties of the topological excitations in supersymmetric quantum Hall liquid.Comment: 12 pages, no figures, published version in PR

    Self-erecting reflector Patent

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    Antenna design with self erecting mesh reflecto

    Early embryology of the mouse as studied by transplantation of ova

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    Ecology of Plant Distribution on the Salt-Deserts of Utah

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    The reciprocal effects of vegetation and soils have long been a subject of speculation and conjecture. In the management of any natural land area the problem of interpreting vegetational expression is especially important. The effects of native vegetation on soils and the effects of the soil on the vegetation have been studied and observed for many years. The arid-desert range lands have been studied and observed for many years. The arid-desert range lands have been studied least and as a result are not well understood. As human populations increase there will be additional need for agricultural production, and these lands may be put to higher use, perhaps even to irrigated crop production. Basic to increasing the productivity of these lands is an understanding of the vegetation they are now supporting, what they supported prior to their use by domestic livestock, and why the present vegetation grows to the exclusion of other vegetation types

    Work and Leisure

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    Teachers\u27 Perceptions of the Role of Teacher-Parent Partnerships That Best Benefit Students in a Parochial College Preparatory High School

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    Abstract Current research on teacher–parent partnerships has increasingly focused on early childhood education. This transcendental phenomenological study expanded and extended the understanding of effective teacher–parent partnerships in secondary education at a parochial college preparatory high school. According to Bronfenbrenner’s bioecological systems theory (BST), academic growth and development in late adolescents are impacted by the overlapping systems of influence: the microsystem, mesosystem, exosystem, macrosystem, and chronosystem. The purpose of this qualitative study was to identify secondary educators’ perceptions of teacher–parent partnerships that best benefit students. Faculty at a parochial college preparatory high school were asked about their perceptions of parental involvement in teacher–parent partnerships and the competencies or skills needed for effective teacher–parent partnerships. Differences between new and veteran teachers’ perceptions of parental involvement in teacher–parent partnerships were examined. Study findings indicated that teachers perceive teacher–parent partnerships as an essential component of students’ college preparatory academic development and that communication and collaboration are vital to the success of these partnerships. Consequently, school initiatives, programs, and practices need to encourage teachers in developing and sustaining teacher–parent partnerships that will promote a sense of belonging while also engaging and supporting students in their academic growth and development. Keywords: teacher-parent, partnerships, parochial, private, college preparatory, secondary educatio

    An expert system for project controls in construction management

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    In this paper, I describe an expert project control system for construction management. The purpose of the project is to develop methods and strategies for expert system based planning, scheduling, chronicling and analysis for construction management. Planning defines the actions required to accomplish a goal? scheduling links the plan into a frame of time? chronicling is monitoring job performance and analysis defines reevaluation of the plan as conditions change. Conditions are modeled as constraints and will be coded as rules. As conditions change, constraints must be dynamically modified by the system to accommodate the changes. The research is a combination of three related areas: a. Domain dependent hierarchical planning techniques. b. Model-based planning/scheduling techniques developed for the job-shop environment. c. Expert construction planning/scheduling techniques

    Estimating Wettability of Rock Fracture Surfaces from Contact Angle and Roughness Measurements

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    Estimates of wettability are important for modeling multi-phase flow and transport in the subsurface. This study investigates the wettability of rock fracture surfaces through contact angle measurements and surface roughness characterization. Droplet diameter and advancing contact angle were determined at 0.5s intervals for ~90s on flat polished disks of Burlington Limestone, Crossville Sandstone, Mancos Shale, Sierra White Granite, Vermilion Bay Granite (2 types), and Westerly Granite using a Krüss DSA 30 Drop Shape Analyzer. The droplet diameter and advancing contact angle data sets were nonlinearly regressed against time using two different two-parameter models. The resulting parameter estimates were used to compute the apparent equilibrium contact angle, θe, for each disk following droplet diameter stabilization. Estimates of θe ranged from 37.2° for Mancos Shale to 75.6° for Burlington Limestone. Analysis of variance indicated statistically significant differences in θe between the rock types at the 95% confidence level. Height maps for fractured surfaces of these rocks were made using a Phenom Pro X SEM and analyzed for Wenzel roughness factor and fractal dimension using multi-image variography. The Mancos Shale and Crossville Sandstone were found to be fractal, both having a mean fractal dimension of 2.16. The Wenzel roughness factor was found to increase with increasing length scale. Mean Wenzel roughness factors for the 200 to 600 μm fields were found to have significant differences between rock types. Using the Wenzel roughness factor and contact angle results in the Wenzel model, four of the rock types were found to have a rough surface contact angle of 0°, indicating complete wettability; the Burlington Limestone, Mancos Shale, and Westerly Granite had contact angles greater than zero but less than their contact angles for flat polished surfaces. This is, to the best of our knowledge, the first time the Wenzel model has been used to quantify rough surface contact angles for rocks. The transient analysis employed in this study also permits a more meaningful estimate of the equilibrium contact angle for polished rock surfaces, rather than taking the initial value or averaging over time as is frequently done

    SMP: A solid modeling program

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    A prototype solid modeling program, SMP, developed by CSC for Langley Research Center (LaRC) is documented in this paper. The SMP software is employed by the System and Experiments Branch (SEB) of the Space Systems Division (SSD) for preliminary space station design, but is intended as a general purpose tool. The SMP document provides details concerning: the basic geometric modeling primitives and associated operators, the data representation scheme utilized to structure the geometric model, the available commands for both editing and displaying the solid model, the interactive user interface and the input/output interfaces to external software, and the utility of the package in the LaRC computing environment. The document is sufficiently detailed to serve both as a user's guide and reference manual

    Predicting Protein Structure Using Parallel Genetic Algorithms

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    The protein folding problem is a biochemistry Grand Challenge problem. The challenge is to reliably predict natural three-dimensional structures of polypeptides. Genetic algorithms (GAs) are robust, semi-optimal search techniques modeling natural evolutionary processes. Fast messy GAs (fmGAs) are variants of messy GAs that reduce the exponential time complexity to polynomial. This investigation evaluates the merits of parallel SGAs and fmGAs for minimizing the potential energy of a pentapeptide, (Met)-enkephalin. AFIT\u27s energy model is compared to a similar model in a commercial package called QUANTA. Differences between the two models are identified and resolved to enhance GAs\u27 abilities to correctly fold molecules. The steps required to unify the behavior of the two implementations is presented. The effectiveness of SGAs while minimizing the potential energy of (Met)-enkephalin is shown to be highly dependent on the choice of population size and mutation rate. It is also demonstrated that choosing parameters from the Schaffer\u27s proposed guidelines cause SGAs to realize near-optimal performance on this particular application. Parallel SGAs are capable of finding near-optimal conformations of (Met)-enkephalin. Parallel fmGAS should ultimately find better solutions in less time. The experiments performed in this investigation determine limitations of parallel SGAs and fmGAs applied to polypeptide energy minimization
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