1,093 research outputs found

    Identification-based Diagnosis of Rainfall ¿Stream Flow Data: the Tinderry Catchment

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    System identification tools, such as transfer function (TF) model structure identification, recursive estimation, time-varying parameter (TVP) estimation and assessment of data information, are used to evaluate the quality of rainfall-stream flow data from the Tinderry catchment (ACT, Australia) and the timevarying behaviour of the rainfall-stream flow dynamics. For the catchment, given the wide range and the abrupt changes of the single input-single output transfer functions describing different periods or events, we conclude that further investigation of (i) local rainfall effects, (ii) time-varying time delays (travelling time), (iii) time-varying residence times related to the base flow and (iv) occurrence of negative residues is needed. Periods with high and low data information content, for further use in effective parameter estimation procedures, are clearly indicated by the analysis

    Research mentoring: Suggestions and encouragement from a reflection exercise

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    Supervisors direct people, but mentors are valued and trusted advisors. Recently, the author took a course in supervising postgraduate research, which included surveying the literature as well as discussions with colleagues who have various levels of experience in research supervision. Through this exercise, some basic ideas for best practices in research mentoring became clear, particularly for those in professions without a strong history of research and therefore lacking in trained research supervisors. The concept of mentoring, rather than just supervision, gained focus. Three main categories can be identified within the realm of research mentorship: choose your candidate wisely, be diligent, and be nurturing. The purpose of this commentary is to identify methods of supervision of graduate research degree (masters/doctorate level) candidates that may enhance the process, as well as improve the chances of completion, and to encourage academics to learn the techniques of high-quality supervision with a goal of becoming mentors. Additionally, it is hoped that this commentary may encourage students and colleagues without advanced degrees to consider pursuing them; this, in turn would likely lead to more opportunities for supervision, as well as help to create links with other academic and clinical institutions

    The Debye-Waller Factor in solid 3He and 4He

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    The Debye-Waller factor and the mean-squared displacement from lattice sites for solid 3He and 4He were calculated with Path Integral Monte Carlo at temperatures between 5 K and 35 K, and densities between 38 nm^(-3) and 67 nm^(-3). It was found that the mean-squared displacement exhibits finite-size scaling consistent with a crossover between the quantum and classical limits of N^(-2/3) and N^(-1/3), respectively. The temperature dependence appears to be T^3, different than expected from harmonic theory. An anisotropic k^4 term was also observed in the Debye-Waller factor, indicating the presence of non-Gaussian corrections to the density distribution around lattice sites. Our results, extrapolated to the thermodynamic limit, agree well with recent values from scattering experiments.Comment: 5 figure

    Probing R-violating top quark decays at the NLC

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    We examine the possibility of observing exotic top quark decays via RR-Parity violating SUSY interactions in e+e−e^+e^- collisions at \sqrt{s = 500 GeV. We present cross-sections for ttˉt\bar t production followed by the subsequent decay of either the tt or t‾\overline{t} via the RR-Parity violating interaction while the other undergoes the SM decay. We discuss kinematic cuts that allow the exotic SUSY decays to be detected over standard model backgrounds. Discovery limits for RR-Parity violating couplings in the top sector are presented assuming an integrated luminosity of 100fb−1100 fb^{-1}.Comment: 9 LaTeX pages, 3 PS figure

    Maximising the impact of qualitative research in feasibility studies for randomised controlled trials: guidance for researchers

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    Feasibility studies are increasingly undertaken in preparation for randomised controlled trials in order to explore uncertainties and enable trialists to optimise the intervention or the conduct of the trial. Qualitative research can be used to examine and address key uncertainties prior to a full trial. We present guidance that researchers, research funders and reviewers may wish to consider when assessing or undertaking qualitative research within feasibility studies for randomised controlled trials. The guidance consists of 16 items within five domains: research questions, data collection, analysis, teamwork and reporting. Appropriate and well conducted qualitative research can make an important contribution to feasibility studies for randomised controlled trials. This guidance may help researchers to consider the full range of contributions that qualitative research can make in relation to their particular trial. The guidance may also help researchers and others to reflect on the utility of such qualitative research in practice, so that trial teams can decide when and how best to use these approaches in future studies

    Phase Transitions of Hard Disks in External Periodic Potentials: A Monte Carlo Study

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    The nature of freezing and melting transitions for a system of hard disks in a spatially periodic external potential is studied using extensive Monte Carlo simulations. Detailed finite size scaling analysis of various thermodynamic quantities like the order parameter, its cumulants etc. are used to map the phase diagram of the system for various values of the density and the amplitude of the external potential. We find clear indication of a re-entrant liquid phase over a significant region of the parameter space. Our simulations therefore show that the system of hard disks behaves in a fashion similar to charge stabilized colloids which are known to undergo an initial freezing, followed by a re-melting transition as the amplitude of the imposed, modulating field produced by crossed laser beams is steadily increased. Detailed analysis of our data shows several features consistent with a recent dislocation unbinding theory of laser induced melting.Comment: 36 pages, 16 figure

    Crystallization of a classical two-dimensional electron system: Positional and orientational orders

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    Crystallization of a classical two-dimensional one-component plasma (electrons interacting with the Coulomb repulsion in a uniform neutralizing positive background) is investigated with a molecular dynamics simulation. The positional and the orientational correlation functions are calculated for the first time. We have found an indication that the solid phase has a quasi-long-range (power-law) positional order along with a long-range orientational order. This indicates that, although the long-range Coulomb interaction is outside the scope of Mermin's theorem, the absence of ordinary crystalline order at finite temperatures applies to the electron system as well. The `hexatic' phase, which is predicted between the liquid and the solid phases by the Kosterlitz-Thouless-Halperin-Nelson-Young theory, is also discussed.Comment: 3 pages, 4 figures; Corrected typos; Double columne

    Physical Model for Plaque Action in the Tooth-Plaque-Saliva System

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    A physical model describing the interrelationships of demineralization, remineralization, plaque thickness, glucose levels, and plaque enzymatic activity was presented. Selection of constants and variations of the parameters were kept in the range of possible in vivo situations. The results of calculations were discussed and correlated with the results of in vivo studies.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66483/2/10.1177_00220345700490013001.pd

    Electronics Letters

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    The optimal refined instrumental variable method for the estimation of the Box-Jenkins (BJ) model is modified so that it functions as an optimal filter and state-estimation algorithm. In contrast to the previously developed minimal and non-minimal state-space (NMSS) forms for an Auto-Regressive Moving Average with eXogenous variables (ARMAX) model, the new algorithm requires the introduction of a novel extended NMSS form. This facilitates representation of the more general noise component of the BJ model. The approach can be used for adaptive filtering and state variable feedback control
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