2,057 research outputs found

    Incarceration, Relationships, and Belonging: Insights into the Experiences of Two Male Youth Recently Released from Custody Facilities

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    This paper explores the family, school, and community experiences of two male youth who had recently been released from custody facilities and how these experiences contributed to their sense of belonging and self-esteem. Addressing the limited literature on self-esteem and belonging of young men who had been incarcerated, the exploratory study considers key themes of trust, family, friendships, and perceptions of belonging and self-esteem which emerge from interviews and guided journal writing sessions. A key finding is that alternative literacy programs, such as journal writing, provide mechanisms to engage young men in building their self-esteem and sense of belonging. The paper concludes with recommendations for teachers, community program facilitators, and social workers to support marginalized youth after having been released from incarceration as they re-enter family and community life

    A review of user interface adaption in current semantic web browsers

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    The semantic web is an example of an innumerable corpus because it contains innumerable subjects expressed using innumerable ontologies. This paper reviews current semantic web browsers to see if they can adaptively show meaningful data presentations to users. The paper also seeks to discover if current semantic web browsers provide a rich enough set of capabilities for future user interface work to be built upon

    Radiative Corrections to Chargino Production with Polarized Beams

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    We show that radiative corrections to chargino production in electron-positron annihilation with polarized beams can be large especially in the case of right handed electrons. In addition, there is some dependency on the squark masses that allows us to extract information about the squark spectrum from the chargino production.Comment: 4 pages, including 4 figures. Talk given at Linear Collider Workshop 2000--LCWS, Fermilab, Chicago, October 24-28, 200

    Non-universal Z' from SO(10) GUTs with vector-like family and the origin of neutrino masses

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    A Zâ€ČZ' gauge boson with mass around the (few) TeV scale is a popular example of physics beyond the Standard Model (SM) and can be a fascinating remnant of a Grand Unified Theory (GUT). Recently, Zâ€ČZ' models with non-universal couplings to the SM fermions due to extra vector-like states have received attention as potential explanations of the present RKR_K, RK∗R_{K^{\ast}} anomalies; this includes GUT model proposals based on the SO(10)\mathrm{SO}(10) group. In this paper we further develop GUT models with a flavour non-universal low scale Zâ€ČZ' and clarify several outstanding issues within them. First, we successfully incorporate a realistic neutrino sector (with linear and/or inverse low scale seesaw mechanism), which was so far a missing ingredient. Second, we investigate in detail their compatibility with the RKR_K, RK∗R_{K^{\ast}} anomalies; we find that the anomalies do not have a consistent explanation within such models. Third, we demonstrate that these models have other compelling phenomenological features; we study the correlations between the flavour violating processes of Ό→3e\mu\to 3e and ÎŒ\mu-ee conversion in a muonic atom, showing how a GUT imprint could manifest itself in experiments.Comment: Revised version, published in NPB. New material, general conclusions unchanged. 30 pages, 4 figures, 2 table

    Radiatively Corrected Chargino Pair Production at LEP2

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    One-loop radiative corrections to the production cross section of a pair of light charginos in e+e- colliders are calculated within the MSSM. Top and bottom quarks and squarks are considered in the loops, and they are renormalized using the MS-bar scheme. If the center of mass energy is equal to 192 GeV, positive corrections typically of 10% to 15% are found when the squark mass parameters are equal to 1 TeV.Comment: 6 pages, including 5 figures. Latex. Talk given by M.A.D. at the International Workshop "Beyond the Standard Model: From Theory to Experiment", 13--17 October 1997, Valencia, Spai

    Issues in knowledge representation to support maintainability: A case study in scientific data preparation

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    Scientific data preparation is the process of extracting usable scientific data from raw instrument data. This task involves noise detection (and subsequent noise classification and flagging or removal), extracting data from compressed forms, and construction of derivative or aggregate data (e.g. spectral densities or running averages). A software system called PIPE provides intelligent assistance to users developing scientific data preparation plans using a programming language called Master Plumber. PIPE provides this assistance capability by using a process description to create a dependency model of the scientific data preparation plan. This dependency model can then be used to verify syntactic and semantic constraints on processing steps to perform limited plan validation. PIPE also provides capabilities for using this model to assist in debugging faulty data preparation plans. In this case, the process model is used to focus the developer's attention upon those processing steps and data elements that were used in computing the faulty output values. Finally, the dependency model of a plan can be used to perform plan optimization and runtime estimation. These capabilities allow scientists to spend less time developing data preparation procedures and more time on scientific analysis tasks. Because the scientific data processing modules (called fittings) evolve to match scientists' needs, issues regarding maintainability are of prime importance in PIPE. This paper describes the PIPE system and describes how issues in maintainability affected the knowledge representation used in PIPE to capture knowledge about the behavior of fittings

    Invariant approach to CP in family symmetry models

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    We propose the use of basis invariants, valid for any choice of CP transformation, as a powerful approach to studying specific models of CP violation in the presence of discrete family symmetries. We illustrate the virtues of this approach for examples based on A4A_4 and Δ(27)\Delta(27) family symmetries. For A4A_4, we show how to elegantly obtain several known results in the literature. In Δ(27)\Delta(27) we use the invariant approach to identify how explicit (rather than spontaneous) CP violation arises, which is geometrical in nature, i.e. persisting for arbitrary couplings in the Lagrangian.Comment: 4 pages plus references. v2: to be published in PR

    Intelligent assistance in scientific data preparation

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    Scientific data preparation is the process of extracting usable scientific data from raw instrument data. This task involves noise detection (and subsequent noise classification and flagging or removal), extracting data from compressed forms, and construction of derivative or aggregate data (e.g. spectral densities or running averages). A software system called PIPE provides intelligent assistance to users developing scientific data preparation plans using a programming language called Master Plumber. PIPE provides this assistance capability by using a process description to create a dependency model of the scientific data preparation plan. This dependency model can then be used to verify syntactic and semantic constraints on processing steps to perform limited plan validation. PIPE also provides capabilities for using this model to assist in debugging faulty data preparation plans. In this case, the process model is used to focus the developer's attention upon those processing steps and data elements that were used in computing the faulty output values. Finally, the dependency model of a plan can be used to perform plan optimization and run time estimation. These capabilities allow scientists to spend less time developing data preparation procedures and more time on scientific analysis tasks

    The tension between fire risk and carbon storage: evaluating U.S. carbon and fire management strategies through ecosystem models

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    Fire risk and carbon storage are related environmental issues because fire reduction results in carbon storage through the buildup of woody vegetation, and stored carbon is a fuel for fires. The sustainability of the U.S. carbon sink and the extent of fire activity in the next 100 yr depend in part on the type and effectiveness of fire reduction employed. Previous studies have bracketed the range of dynamics from continued fire reduction to the complete failure of fire reduction activities. To improve these estimates, it is necessary to explicitly account for fire reduction in terrestrial models. A new fire reduction submodel that estimates the spatiotemporal pattern of reduction across the United States was developed using gridded data on biomass, climate, land-use, population, and economic factors. To the authors’ knowledge, it is the first large-scale, gridded fire model that explicitly accounts for fire reduction. The model was calibrated to 1° × 1° burned area statistics [Global Burnt Area 2000 Project (GBA-2000)] and compared favorably to three important diagnostics. The model was then implemented in a spatially explicit ecosystem model and used to analyze 1620 scenarios of future fire risk and fire reduction strategies. Under scenarios of climate change and urbanization, burned area and carbon emissions both increased in scenarios where fire reduction efforts were not adjusted to match new patterns of fire risk. Fuel reducing management strategies reduced burned area and fire risk, but also limited carbon storage. These results suggest that to promote carbon storage and minimize fire risk in the future, fire reduction efforts will need to be increased and spatially adjusted and will need to employ a mixture of fuel-reducing and non-fuel-reducing strategies
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