293 research outputs found

    Nitrogen fertiliser management with zone characterisation in grazed pasture systems

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    Spatial information is frequently used for managing arable crops. The idea of developing management zones is often to enable accurate fertiliser supply for local crop needs. This helps avoid excessive introduction of nutrients, such as nitrogen, into the environment, and also to reduce fertiliser costs. Despite the success of this concept in arable farming, it is a poorly adopted practice for the management of grazed pastures. Grazed pasture systems have an additional level of complexity compared to monoculture, annual crops. Pastures are typically perennial in nature with short intervals between harvests (by a grazing animal) and therefore require fertiliser applications to maintain biomass production. Additionally, pastures often consist of two or more desirable plant species and the distribution of waste from livestock results in many small patches of very high nutrient content. We propose a concept to create management zones of grazed dairy pastures, using the spatial attributes of pasture paddocks. The target will be to identify zones of most likely high nitrogen availability and use this information to estimate the required local fertiliser target. The spatial information required for this approach may include: soil variation, irrigation, animal density, slope, farm infrastructure (i.e troughs and shelter) and previous pasture growth. Using a geographical information system, the spatial information for an area can be utilised to create map layers. These layers can then be spatially related and zones for the application of varying amounts of fertiliser can be developed at the sub-paddock scale. We are in theprocess of deriving response curves for N-ramps on selected paddocks in NZ and Australia which have sufficient spatial variability of the mentioned site characteristics. We undertook a theoretical feasibility study to compare both uniform and variable nitrogen fertiliser application as an initial investigation of the potential benefit of zone management. The integrated result (value of feed –cost of fertiliser –cost of environmental impact) of applying nitrogen variably across a paddock of dynamic soil using a non-linear response function was slightly lower than for uniform application. It is expected however, that increased understanding of spatial variables in pastures will increase the benefits of zone management

    Book Reviews

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    CLINICAL RESEARCH FOR ALL Cyril Maxwell Cambridge Medical Publications Ltd. (1973) Price £2.85pA COMPANION TO MEDICAL STUDIES Editors-in-Chief: R. Massmore and J. S. Robson Vol. 3, parts 1 and Oxford; Blackwell Scientific Publication- £11.50 each part (£8.00 paper-back)CHEMOTAXIS AND INFLAMMATION P.C. Wilkinson Churchill Livingstone 1974. £4.00THOMSON'S CONCISE MEDICAL DICTIONARY William A.R. Thomson, M.D. Churchill Livingstone, 1973. £1.80CLINICAL EXAMINATION Editor, J.G. Macleod: Edinburgh: Churchill Livingstone. £4.2

    Upon the existence of short-time approximations of any polynomial order for the computation of density matrices by path integral methods

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    In this article, I provide significant mathematical evidence in support of the existence of short-time approximations of any polynomial order for the computation of density matrices of physical systems described by arbitrarily smooth and bounded from below potentials. While for Theorem 2, which is ``experimental'', I only provide a ``physicist's'' proof, I believe the present development is mathematically sound. As a verification, I explicitly construct two short-time approximations to the density matrix having convergence orders 3 and 4, respectively. Furthermore, in the Appendix, I derive the convergence constant for the trapezoidal Trotter path integral technique. The convergence orders and constants are then verified by numerical simulations. While the two short-time approximations constructed are of sure interest to physicists and chemists involved in Monte Carlo path integral simulations, the present article is also aimed at the mathematical community, who might find the results interesting and worth exploring. I conclude the paper by discussing the implications of the present findings with respect to the solvability of the dynamical sign problem appearing in real-time Feynman path integral simulations.Comment: 19 pages, 4 figures; the discrete short-time approximations are now treated as independent from their continuous version; new examples of discrete short-time approximations of order three and four are given; a new appendix containing a short review on Brownian motion has been added; also, some additional explanations are provided here and there; this is the last version; to appear in Phys. Rev.

    Sum rules via large deviations

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    International audienceIn the theory of orthogonal polynomials, sum rules are remarkable relationships between a functional defined on a subset of all probability measures involving the reverse Kullback-Leibler divergence with respect to a particular distribution and recursion coefficients related to the orthogonal polynomial construction. Killip and Simon (Killip and Simon (2003)) have given a revival interest to this subject by showing a quite surprising sum rule for measures dominating the semicircular distribution on [−2, 2]. This sum rule includes a contribution of the atomic part of the measure away from [−2, 2]. In this paper, we recover this sum rule by using probabilistic tools on random matrices. Furthermore, we obtain new (up to our knowledge) magic sum rules for the reverse Kullback-Leibler divergence with respect to the Marchenko-Pastur or Kesten-McKay distributions. As in the semicircular case, these formulas include a contribution of the atomic part appearing away from the support of the reference measure

    Adaptation of anaerobic cultures of Escherichia coliK-12 in response to environmental trimethylamine-N-oxide

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    Systematic analyses of transcriptional and metabolic changes occurring when Escherichia coliK-12 switches from fermentative growth to anaerobic respiratory growth with trimethylamine-N-oxide (TMAO) as the terminal electron acceptor revealed: (i) the induction of torCAD, but not genes encoding alternative TMAO reductases; (ii) transient expression of frmRAB, encoding formaldehyde dehydrogenase; and (iii) downregulation of copper resistance genes. Simultaneous inference of 167 transcription factor (TF) activities implied that transcriptional re-programming was mediated by 20 TFs, including the transient inactivation of the two-component system ArcBA; a prediction validated by direct measurement of phosphorylated ArcA. Induction of frmRAB, detection of dimethylamine in culture medium and formaldehyde production when cell-free extracts were incubated with TMAO suggested the presence of TMAO demethylase activity. Accordingly, the viability of an frmRAB mutant was compromised upon exposure to TMAO. Downregulation of genes involved in copper resistance could be accounted for by TMAO inhibition of Cu(II) reduction. The simplest interpretation of the data is that during adaptation to the presence of environmental TMAO, anaerobic fermentative cultures of E.coli respond by activating the TorTSR regulatory system with consequent induction of TMAO reductase activity, resulting in net oxidation of menaquinone and inhibition of Cu(II) reduction, responses that are sensed by ArcBA and CusRS respectively

    Bayesian Strong Gravitational-Lens Modeling on Adaptive Grids: Objective Detection of Mass Substructure in Galaxies

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    We introduce a new adaptive and fully Bayesian grid-based method to model strong gravitational lenses with extended images. The primary goal of this method is to quantify the level of luminous and dark-mass substructure in massive galaxies, through their effect on highly-magnified arcs and Einstein rings. The method is adaptive on the source plane, where a Delaunay tessellation is defined according to the lens mapping of a regular grid onto the source plane. The Bayesian penalty function allows us to recover the best non-linear potential-model parameters and/or a grid-based potential correction and to objectively quantify the level of regularization for both the source and the potential. In addition, we implement a Nested-Sampling technique to quantify the errors on all non-linear mass model parameters -- ... -- and allow an objective ranking of different potential models in terms of the marginalized evidence. In particular, we are interested in comparing very smooth lens mass models with ones that contain mass-substructures. The algorithm has been tested on a range of simulated data sets, created from a model of a realistic lens system. One of the lens systems is characterized by a smooth potential with a power-law density profile, twelve include a NFW dark-matter substructure of different masses and at different positions and one contains two NFW dark substructures with the same mass but with different positions. Reconstruction of the source and of the lens potential for all of these systems shows the method is able, in a realistic scenario, to identify perturbations with masses >=10^7 solar mass when located on the Einstein ring. For positions both inside and outside of the ring, masses of at least 10^9 solar mass are required (...).Comment: 21 pages, 15 figures, 4 tables; accepted for publication in MNRA

    Effect Of Gender On T-Cell Proliferative Responses To Myelin Proteolipid Protein Antigens In Patients With Multiple Sclerosis And Controls

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    Multiple sclerosis (MS) is an inflammatory demyelinating disorder of the central nervous system. Gender influences both susceptibility to MS, with the disease being more common in women, and the clinical course of disease, with an increased proportion of males developing the primary progressive form of the disease. The basis for these differences may include genetic and immunological factors, and the immunological differences between men and women may be influenced by the effects of the sex hormones. Over several years we have collected blood from MS patients and controls, and measured T-cell responses to myelin proteolipid protein (PLP) and myelin basic protein (MBP) and have shown increased responses to PLP in MS patients compared to healthy controls and patients with other neurological diseases. In the present study we analyzed data from over 500 individuals, to determine whether there are differences between males and females in their responses to PLP and MBP. We found that there was higher frequency of increased T-cell reactivity to immunodominant PLP peptides in women than in men, particularly in non-MS individuals. We suggest that this may be relevant to the higher prevalence of MS in women

    Validation of graft and standard liver size predictions in right liver living donor liver transplantation

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    Purpose: To assess the accuracy of a formula derived from 159 living liver donors to estimate the liver size of a normal subject: standard liver weight (g) = 218 + body weight (kg) × 12.3 + 51 (if male). Standard liver volume (SLV) is attained by a conversion factor of 1.19 mL/g. Methods: The total liver volume (TLV) of each of the subsequent consecutive 126 living liver donors was determined using the right liver graft weight (RGW) on the back table, right/left liver volume ratio on computed tomography, and the conversion factor. The estimated right liver graft weight (ERGW) was determined by the right liver volume on computed tomography (CT) and the conversion factor. SLV and ERGW were compared with TLV and RGW, respectively, by paired sample t test. Results: Donor characteristics of both series were similar. SLV and TLV were 1,099.6 ± 139.6 and 1,108.5 ± 175.2 mL, respectively, (R 2 = 0.476) (p = 0.435). The difference between SLV and TLV was only -8.9 ± 128.2 mL (-1.0 ± 11.7%). ERGW and RGW were 601.5 ± 104.1 and 597.1 ± 102.2 g, respectively (R 2 = 0.781) (p = 0.332). The conversion factor from liver weight to volume for this series was 1.20 mL/g. The difference between ERGW and RGW was 4.3 ± 49.8 g (0.3 ± 8.8%). ERGW was smaller than RGW for over 10% (range 0.21-40.66 g) in 18 of the 126 donors. None had the underestimation of RGW by over 20%. Conclusion: SLV and graft weight estimations were accurate using the formula and conversion factor. © 2011 The Author(s).published_or_final_versionSpringer Open Choice, 21 Feb 201
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