2,773 research outputs found

    Towards business integration as a service 2.0 (BIaaS 2.0)

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    Cloud Computing Business Framework (CCBF) is a framework for designing and implementation of Could Computing solutions. This proposal focuses on how CCBF can help to address linkage in Cloud Computing implementations. This leads to the development of Business Integration as a Service 1.0 (BIaaS 1.0) allowing different services, roles and functionalities to work together in a linkage-oriented framework where the outcome of one service can be input to another, without the need to translate between domains or languages. BIaaS 2.0 aims to allow automation, enhanced security, advanced risk modelling and improved collaboration between processes in BIaaS 1.0. The benefits from adopting BIaaS 1.0 and developing BIaaS 2.0 are illustrated using a case study from the University of Southampton and several collaborators including IBM US. BIaaS 2.0 can work with mainstream technologies such as scientific workflows, and the proposal and demonstration of BIaaS 2.0 will be aimed to certainly benefit industry and academia. © 2011 IEEE

    Pseudo-half-metalicity in the double perovskite Sr2_2CrReO6_6 from density-functional calculations

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    The electronic structure of the spintronic material Sr2_2CrReO6_6 is studied by means of full-potential linear muffin-tin orbital method. Scalar relativistic calculations predict Sr2_2CrReO6_6 to be half-metallic with a magnetic moment of 1 ÎĽB\mu_B. When spin-orbit coupling is included, the half-metallic gap closes into a pseudo-gap, and an unquenched rhenium orbital moment appears, resulting in a significant increase of the total magnetic moment to 1.28 ÎĽB\mu_B. This moment is significantly larger than the experimental moment of 0.9 ÎĽB\mu_B. A possible explanation of this discrepancy is that the anti-site disorder in Sr2_2CrReO6_6 is significantly larger than hitherto assumed.Comment: 3 Pages, 1 figure, 1 Tabl

    Aging and memory properties of topologically frustrated magnets

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    The model 2d kagome system (H3O)Fe3(SO4)2(OH)6 and the 3d pyrochlore Y2Mo2O7 are two well characterized examples of low-disordered frustrated antiferromagnets which rather then condensing into spin liquid have been found to undergo a freezing transition with spin glass-like properties. We explore more deeply the comparison of their properties with those of spin glasses, by the study of characteristic rejuvenation and memory effects in the non-stationary susceptibility. While the pyrochlore shows clear evidence for these non-trivial effects, implying temperature selective aging, that is characteristic of a wide hierarchical distribution of equilibration processes, the kagome system does n not show clearly these effects. Rather, it seems to evolve towards the same final state independently of temperature.Comment: submitted for the proceedings of the 46th MMM conference (Seattle, 2001

    Identification of Clear Text Data Obfuscated Within Active File Slack

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    Obfuscating text on a hard drive can be done by utilizing the slack space of files. Text can be inserted into the area between the end of the file data and the New Technology File System (NTFS) cluster (the smallest drive space allocated to a file) that in which the file is stored, the data is hidden from traditional methods of viewing. If the hard drive is large, how does a digital forensics expert know where to look to find text that has been obfuscated? Searching through a large hard drive could take up a substantial amount of time that the expert possibly could not justify. If the digital forensics expert lacks the knowledge on how to properly search a hard drive for obfuscated clear text using data carving concepts, how will the obfuscated clear text be located on the drive and identified? To address this, an algorithm was proposed and tested, which resulted in the successful identification of clear text data in slack space with a percentage average of 99.31% identified. This algorithm is a reliable form of slack space analysis which can be used in conjunction with other data extraction methods to see the full scope of evidence on a drive

    Theory of quasiparticle spectra for Fe, Co, and Ni: bulk and surface

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    The correlated electronic structure of iron, cobalt and nickel is investigated within the dynamical mean-field theory formalism, using the newly developed full-potential LMTO-based LDA+DMFT code. Detailed analysis of the calculated electron self-energy, density of states and the spectral density are presented for these metals. It has been found that all these elements show strong correlation effects for majority spin electrons, such as strong damping of quasiparticles and formation of a density of states satellite at about -7 eV below the Fermi level. The LDA+DMFT data for fcc nickel and cobalt (111) surfaces and bcc iron (001) surface is also presented. The electron self energy is found to depend strongly on the number of nearest neighbors, and it practically reaches the bulk value already in the second layer from the surface. The dependence of correlation effects on the dimensionality of the problem is also discussed.Comment: 15 pages, 24 figure

    A study of technological literacy in writing programs.

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    This dissertation empirically studies computer-assisted writing administration as a site of agency for social change by inquiring how writing program administrators (WPAs) use their agency and power when developing and maintaining computer-mediated spaces (CM) or computer-assisted instruction (CAI). This study asks, What are the results when individual agency meets technological literacy in the academic workplace? Numerous articles have examined WPAs as agents of social change (R. Miller, C. Selfe, M. Pemberton); few have used empirical data as their grounds. To date, no articles have examined the WPA\u27s agency with technological literacy in computer-mediated environments. This study utilizes triangulated and multi-modal research methods including site observations as well as interviews and email surveys with WPAs, students, technicians, and non-departmental stakeholders. The study assumes that WPAs act as administrative agents who use their agency to move beyond the role of functionaries such as boss compositionists (Sledd in Harris, 2000) or academic bureaucrats (R. Miller, 1988). Special features of this dissertation include original primary data on WPA decision-making, education, compensation. Preliminary data show the following: WPAs report using their agency when managing technology use for departments and institutions; 70 percent of WPAs report that their technological literacy affords them power in their departments; 70 percent of WPAs state that their technological literacy has improved their relations with students; most WPAs receive little compensation for their technological skills other than salary; and search and screen committees increasingly require technology proficiency of their writing faculty. WPAs should take into consideration managerial trends: faculty who resist CAI professional development because they are in the retirement track arguments that position CAI as a Technology vs. X false dilemma ( We can support either labor and people or technology ); assumptions that link technology with democracy and unexamined grand social narratives; and the conflation of technological literacy with critical technological literacy This data suggests that job skills and intellectual contributions of WPAs who work with CAI are not fully recognized and compensated in departments and contribute to a rise in invisible labor. The dissertation includes the following chapters: (I) Introduction: Shoulders to Stand On and the Work Already Done in Computer-Mediated Writing; (II) The Discourse on Technological Literacy: A Bakhtinian Reading of the National Infrastructure Initiative; (III) What WPAs Say about Their Work as a Site of Agency; (IV) Results from Online Survey of WPAs and Technological Literacy; and (V) Conclusion and Supplementary Materials

    Toward Perfection: Kapellasite, Cu3Zn(OH)6Cl2, a New Model S = 1/2 Kagome Antiferromagnet

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    The search for the resonating valence bond (RVB) state continues to underpin many areas of condensed matter research. The RVB is made from the dimerisation of spins on different sites into fluctuating singlets, and was proposed by Anderson to be the reference state from which the transition to BCS superconductivity occurs. Little is known about the state experimentally, due to the scarcity of model materials. Theoretical work has put forward the S = 1/2 kagome antiferromagnet (KAFM) as a good candidate for the realization of the RVB state. In this paper we introduce a new model system, the S = 1/2 KAFM Kapellasite, Cu3Zn(OH)6Cl2. We show that its crystal structure is a good approximation to a 2-dimensional kagome antiferromagnet and that susceptibility data indicate a collapse of the magnetic moment below T = 25 K that is compatible with the spins condensing into the non-magnetic RVB state.Comment: Communication, 3 pages, 3 figure

    Crystal-field splittings in CeX (X= N, P, As, Sb, Bi) compounds

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    The unusual and interesting physical properties of rare earth intemetallic compounds have their origin in the combination of strongly correlated 4f states and their hybridization with the conduction electron sea, which gives rise to their complex low temperature Kondo behavior. In particular, Ce compounds are very sensitive to the crystalline and chemical environment, as compared to other rare earth systems. The interaction of the 4f state with the conduction band plays an important role in the determination of the different magnetic, structural and transport properties of these systems. Among the cerium compounds, those of the type CeX, which crystallize in the rock salt structure, exhibit extremely unusual magnetic properties. By making use of the mixed LDA-NCA calculation technique we analyse the crystal-field splittings of CeX compounds (X=N, P, As, Sb, Bi). The obtained ab-initio hybridization functions are taken as imputs to calculate the crystal-field splittings within NCA (non crossing approximation) and the tendencies are contrasted with experiments. KEY WORDS: Highly correlated systems, crystal fields, p-electron.Comment: 8 pages, 2 figure

    A principal components approach to parent-to-newborn body composition associations in South India

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    Background: size at birth is influenced by environmental factors, like maternal nutrition and parity, and by genes. Birth weight is a composite measure, encompassing bone, fat and lean mass. These may have different determinants. The main purpose of this paper was to use anthropometry and principal components analysis (PCA) to describe maternal and newborn body composition, and associations between them, in an Indian population. We also compared maternal and paternal measurements (body mass index (BMI) and height) as predictors of newborn body composition.Methods: weight, height, head and mid-arm circumferences, skinfold thicknesses and external pelvic diameters were measured at 30 ± 2 weeks gestation in 571 pregnant women attending the antenatal clinic of the Holdsworth Memorial Hospital, Mysore, India. Paternal height and weight were also measured. At birth, detailed neonatal anthropometry was performed. Unrotated and varimax rotated PCA was applied to the maternal and neonatal measurements.Results: rotated PCA reduced maternal measurements to 4 independent components (fat, pelvis, height and muscle) and neonatal measurements to 3 components (trunk+head, fat, and leg length). An SD increase in maternal fat was associated with a 0.16 SD increase (?) in neonatal fat (p < 0.001, adjusted for gestation, maternal parity, newborn sex and socio-economic status). Maternal pelvis, height and (for male babies) muscle predicted neonatal trunk+head (? = 0. 09 SD; p = 0.017, ? = 0.12 SD; p = 0.006 and ? = 0.27 SD; p < 0.001). In the mother-baby and father-baby comparison, maternal BMI predicted neonatal fat (? = 0.20 SD; p < 0.001) and neonatal trunk+head (? = 0.15 SD; p = 0.001). Both maternal (? = 0.12 SD; p = 0.002) and paternal height (? = 0.09 SD; p = 0.030) predicted neonatal trunk+head but the associations became weak and statistically non-significant in multivariate analysis. Only paternal height predicted neonatal leg length (? = 0.15 SD; p = 0.003).Conclusion: principal components analysis is a useful method to describe neonatal body composition and its determinants. Newborn adiposity is related to maternal nutritional status and parity, while newborn length is genetically determined. Further research is needed to understand mechanisms linking maternal pelvic size to fetal growth and the determinants and implications of the components (trunk v leg length) of fetal skeletal growt
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