8,675 research outputs found

    Hadron Production in Neutrino-Nucleon Interactions at High Energies

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    The multi-particle production at high energy neutrino- nucleon collisions are investigated through the analysis of the data of the experiment CERN-WA-025 at neutrino energy less than 260GeV and the experiments FNAL-616 and FNAL-701 at energy range 120-250 GeV. The general features of these experiments are used as base to build a hypothetical model that views the reaction by a Feynman diagram of two vertices. The first of which concerns the weak interaction between the neutrino and the quark constituents of the nucleon. At the second vertex, a strong color field is assumed to play the role of particle production, which depend on the momentum transferred from the first vertex. The wave function of the nucleon quarks are determined using the variation method and relevant boundary conditions are applied to calculate the deep inelastic cross sections of the virtual diagram.Comment: 6 pages PDF forma

    Sound Velocity Anomaly at the Mott Transition: application to organic conductors and V2O3

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    Close to the Mott transition, lattice degrees of freedom react to the softening of electron degrees of freedom. This results in a change of lattice spacing, a diverging compressibility and a critical anomaly of the sound velocity. These effects are investigated within a simple model, in the framework of dynamical mean-field theory. The results compare favorably to recent experiments on the layered organic \kappa-(BEDT-TTF)_2Cu[N(CN)_2]Cl conductor . We predict that effects of a similar magnitude are expected for V2O3, despite the much larger value of the elastic modulus of this material.Comment: New discussion of the relation between the sound-velocity and the compressibility has been adde

    Incoherent Transport through Molecules on Silicon in the vicinity of a Dangling Bond

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    We theoretically study the effect of a localized unpaired dangling bond (DB) on occupied molecular orbital conduction through a styrene molecule bonded to a n++ H:Si(001)-(2x1) surface. For molecules relatively far from the DB, we find good agreement with the reported experiment using a model that accounts for the electrostatic contribution of the DB, provided we include some dephasing due to low lying phonon modes. However, for molecules within 10 angstrom to the DB, we have to include electronic contribution as well along with higher dephasing to explain the transport features.Comment: 9 pages, 5 figure

    Learning style tendencies based on fleming’s VARK learning style among TVET students

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    This study aims to identify learning style tendencies based on the Fleming’s VARK learning style of TVET students. This study uses a questionnaire approach to assess TVET students' learning styles based on Fleming’s visual, auditory, writing or reading and kinesthetic learning styles. The study population is technical students of FPTV, UTHM and the selected sample consists of 53 students from various fields namely General Machining (BBA), Welding and Metal Fabrication (BBD), Electrical & Electronics (BBE) and Creative Multimedia (BBF) who took the subject BBD10803 Information Technology in Education at Universiti Tun Hussein Onn Malaysia. The results of this study indicate that the most preferred Fleming’s VARK learning style is a visual learning style

    A guideline for decision-making on business intelligence and customer relationship management among clinics

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    Business intelligence offers the capability to gain insights and perform better in decision-making by using a particular set of technologies and tools. A company's success to a certain extent depends on customers. The complementary of business intelligence and customer relationship management will improve the efficiency of organizations, hence increase productivity and revenue. Most research works on implementation of business intelligence and customer relationship management in organizations commonly concentrate on architecture, framework, and maturity model. The process on how to implement business intelligence and customer relationship management in an organization, especially in smaller domains has not yet been clarified which make some organizations unclear on how to implement business intelligence and customer relationship management. Thus, this study investigates the process involved in the implementation of business intelligence and customer relationship management among clinics. An infographic guideline was developed based on the six process of data mining which is known as Cross Industry Standard Process for Data Mining. Four elements of business intelligence decision-making process which were gather, store, access, and analyze were also included in the process of developing the guideline. Findings from an expert's review show that the increase of Content Validity Index was 0.7, from 0.3 during the first iteration to 1.0 in the second iteration. Therefore, this result is acceptable. The guideline appears to be a useful instrument for practitioners to implement business intelligence and customer relationship management in their clinics, however the process involved in developing the guideline could be improvised from time to time

    Serological survey of catteries for cats infected with feline coronavirus

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    A serological survey on antibodies against feline coronavirus (FCo V) was conducted in four catteries in Klang Valley, Selangor, Malaysia. A total number of 24 cats of various breeds, ages and gender were randomly sampled from each cattery. The level of antibody titers were tested using a dot blot ELISA test kit ImmunofCombʳ, All cats showed a previous exposure to FeCo V. All the cats (100%) sampled from the catteries are infected with the virus. Approximately 42% and 58% of the sampled cats exhibited medium and high positive antibodies titers against FeCoY, respectively. This is the first study conducted in Malaysia to gauge the status of FeCo V antibody titer in cats

    Solitons on compact and noncompact spaces in large noncommutativity

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    We study solutions at the minima of scalar field potentials for Moyal spaces and torii in the large non-commutativity and interprete these solitons in terms of non-BPS D-branes of string theory. We derive a mass spectrum formula linking different D-branes together on quantum torii and suggest that it describes general systems of D-brane bound states extending the D2-D0 one. Then we propose a shape for the effective potential approaching these quasi-stable bound states. We give the gauge symmetries of these systems of branes and show that they depend on the quantum torii representations.Comment: 25 pages, Latex, 1 figure (use epsfig.sty), corrected formul

    Fractal dimension and degree of order in sequential deposition of mixture

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    We present a number models describing the sequential deposition of a mixture of particles whose size distribution is determined by the power-law p(x)αxα1p(x) \sim \alpha x^{\alpha-1}, xlx\leq l . We explicitly obtain the scaling function in the case of random sequential adsorption (RSA) and show that the pattern created in the long time limit becomes scale invariant. This pattern can be described by an unique exponent, the fractal dimension. In addition, we introduce an external tuning parameter beta to describe the correlated sequential deposition of a mixture of particles where the degree of correlation is determined by beta, while beta=0 corresponds to random sequential deposition of mixture. We show that the fractal dimension of the resulting pattern increases as beta increases and reaches a constant non-zero value in the limit β\beta \to \infty when the pattern becomes perfectly ordered or non-random fractals.Comment: 16 pages Latex, Submitted to Phys. Rev.

    Lorentz invariance of entanglement classes in multipartite systems

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    We analyze multipartite entanglement in systems of spin-1/2 particles from a relativistic perspective. General conditions which have to be met for any classification of multipartite entanglement to be Lorentz invariant are derived, which contributes to a physical understanding of entanglement classification. We show that quantum information in a relativistic setting requires the partition of the Hilbert space into particles to be taken seriously. Furthermore, we study exemplary cases and show how the spin and momentum entanglement transforms relativistically in a multipartite setting.Comment: v2: 5 pages, 4 figures, minor changes to main body, journal references update
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