2,477 research outputs found

    Dynamic Metabolism Modeling as a Decision-Support Tool for Urban Water Utilities Applied to the Upstream of the Water System in Oslo, Norway

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    AbstractThe paper presents, first, the ‘Dynamic Metabolism Model’ (DMM), developed by the authors, followed by an application to the city of Oslo, capital city of Norway. The time period considered for the analysis is 2013-2043. The external factors impacting decision-making and interventions are talked about in brief, and some realistic scenarios revolving around these factors are drawn up for testing, after consultation with officials at the Oslo Water and Wastewater Works. Possible interventions that the utility intends to set in motion on the upstream are defined and numerically interpreted for incorporation into the DMM

    Microwave Spectroscopy

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    Contains reports on nine research projects.United States Department of Energy (Contract DA36-039-sc-73014

    Urban water system metabolism assessment using WaterMet2 model

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    12th International Conference on Computing and Control for the Water Industry, CCWI2013, 2013-09-06, 2013-09-09, Perugia, ItalyThis paper presents a new "WaterMet2" model for integrated modelling of an urban water system (UWS). The model is able to quantify the principal water flows and other main fluxes in the UWS. The UWS in WaterMet2 is characterised using four different spatial scales (indoor area, local area, subcatchment and system area) and a daily temporal resolution. The main subsystems in WaterMet2 include water supply, water demand, wastewater and cyclic water recovery. The WaterMet2 is demonstrated here through modelling of the urban water system of Oslo city in Norway. Given a fast population growth, WaterMet2 analyses a range of alternative intervention strategies including 'business as usual', addition of new water resources, increased rehabilitation rates and water demand schemes to improve the performance of the Oslo UWS. The resulting five intervention strategies were compared with respect to some major UWS performance profiles quantified by the WaterMet2 model and expert's opinions. The results demonstrate how an integrated modelling approach can assist planners in defining a better intervention strategy in the future.This work was carried out as part of the ‘TRansition to Urban water Services of Tomorrow’ (TRUST) project. The authors wish to acknowledge the European Commission for funding TRUST project in the 7th Framework Programme under Grant Agreement No. 265122

    Microwave Spectroscopy

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    Contains reports on four research projects

    Microwave Spectroscopy

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    Contains reports on nine research projects.Contract DA36-039-sc-7301

    Mass equidistribution of Hilbert modular eigenforms

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    Let F be a totally real number field, and let f traverse a sequence of non-dihedral holomorphic eigencuspforms on GL(2)/F of weight (k_1,...,k_n), trivial central character and full level. We show that the mass of f equidistributes on the Hilbert modular variety as max(k_1,...,k_n) tends to infinity. Our result answers affirmatively a natural analogue of a conjecture of Rudnick and Sarnak (1994). Our proof generalizes the argument of Holowinsky-Soundararajan (2008) who established the case F = Q. The essential difficulty in doing so is to adapt Holowinsky's bounds for the Weyl periods of the equidistribution problem in terms of manageable shifted convolution sums of Fourier coefficients to the case of a number field with nontrivial unit group.Comment: 40 pages; typos corrected, nearly accepted for

    Analysis of a mutant population in groundnut

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    Fifty three mutants derived from Dharwad Early Runner (DER), a true breeding variant from a cross between two Valencia varieties of groundnut were evaluated for taxonomic, productivity and quality traits for assessing its suitability to ascertain marker-trait association. Mutants were confirmed for subspecific changes. Sixteen independent mutants shared common taxonomic shift from DER type to that of ssp. hypogaea var. hypogaea. Seventeen and nine mutants showed taxonomic shift to ssp. fastigiata var. fastigiata and ssp. fastigiata var. vulgaris, respectively. Four mutants had a shift from var. fastigiata to var. vulgaris. Significant shifts both in positive and negative direction were observed for most of the productivity and quality traits along with resistance to late leaf spot and rust. Since these mutants are derived from a common source (Dharwad Early Runner), those contrasting for any trait are expected to differ for a small genomic region. Role of transposons being significant in groundnut mutations, genotyping such mutants with transposon-specific markers might reveal marker-trait associations useful for groundnut improvement

    Statics and dynamics of domain patterns in hexagonal-orthorhombic ferroelastics

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    We study the statics and the dynamics of domain patterns in proper hexagonal-orthorhombic ferroelastics; these patterns are of particular interest because they provide a rare physical realization of disclinations in crystals. Both our static and dynamical theories are based entirely on classical, nonlinear elasticity theory; we use the minimal theory consistent with stability, symmetry and ability to explain qualitatively the observed patterns. After scaling, the only parameters of the static theory are a temperature variable and a stiffness variable. For moderate to large stiffness, our static results show nested stars, unnested stars, fans and other nodes, triangular and trapezoidal regions of trapped hexagonal phase, etc observed in electron microscopy of Ta4N and Mg-Cd alloys, and also in lead orthovanadate (which is trigonal-monoclinic); we even find imperfections in some nodes, like those observed. For small stiffness, we find patterns like those observed in the mineral Mg-cordierite. Our dynamical studies of growth and relaxation show the formation of these static patterns, and also transitory structures such as 12-armed bursts, streamers and striations which are also seen experimentally. The major aspects of the growth-relaxation process are quite unlike those in systems with conventional order parameters, for it is inherently nonlocal; for example, the changes from one snapshot to the next are not predictable by inspection.Comment: 9 pages, 3 figures (1 b&w, 2 colour); animations may be viewed at http://huron.physics.utoronto.ca/~curnoe/sim.htm

    The subconvexity problem for \GL_{2}

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    Generalizing and unifying prior results, we solve the subconvexity problem for the LL-functions of \GL_{1} and \GL_{2} automorphic representations over a fixed number field, uniformly in all aspects. A novel feature of the present method is the softness of our arguments; this is largely due to a consistent use of canonically normalized period relations, such as those supplied by the work of Waldspurger and Ichino--Ikeda.Comment: Almost final version to appear in Publ. Math IHES. References updated

    MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware

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    Neurophysiological studies are typically conducted in laboratories with limited ecological validity, scalability, and generalizability of findings. This is a significant challenge for the development of brain-computer interfaces (BCIs), which ultimately need to function in unsupervised settings on consumer-grade hardware. We introduce MYND: A framework that couples consumer-grade recording hardware with an easy-to-use application for the unsupervised evaluation of BCI control strategies. Subjects are guided through experiment selection, hardware fitting, recording, and data upload in order to self-administer multi-day studies that include neurophysiological recordings and questionnaires. As a use case, we evaluate two BCI control strategies ("Positive memories" and "Music imagery") in a realistic scenario by combining MYND with a four-channel electroencephalogram (EEG). Thirty subjects recorded 70.4 hours of EEG data with the system at home. The median headset fitting time was 25.9 seconds, and a median signal quality of 90.2% was retained during recordings.Neural activity in both control strategies could be decoded with an average offline accuracy of 68.5% and 64.0% across all days. The repeated unsupervised execution of the same strategy affected performance, which could be tackled by implementing feedback to let subjects switch between strategies or devise new strategies with the platform.Comment: 9 pages, 5 figures. Submitted to PNAS. Minor revisio
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