25,240 research outputs found

    Inference for mixtures of symmetric distributions

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    This article discusses the problem of estimation of parameters in finite mixtures when the mixture components are assumed to be symmetric and to come from the same location family. We refer to these mixtures as semi-parametric because no additional assumptions other than symmetry are made regarding the parametric form of the component distributions. Because the class of symmetric distributions is so broad, identifiability of parameters is a major issue in these mixtures. We develop a notion of identifiability of finite mixture models, which we call k-identifiability, where k denotes the number of components in the mixture. We give sufficient conditions for k-identifiability of location mixtures of symmetric components when k=2 or 3. We propose a novel distance-based method for estimating the (location and mixing) parameters from a k-identifiable model and establish the strong consistency and asymptotic normality of the estimator. In the specific case of L_2-distance, we show that our estimator generalizes the Hodges--Lehmann estimator. We discuss the numerical implementation of these procedures, along with an empirical estimate of the component distribution, in the two-component case. In comparisons with maximum likelihood estimation assuming normal components, our method produces somewhat higher standard error estimates in the case where the components are truly normal, but dramatically outperforms the normal method when the components are heavy-tailed.Comment: Published at http://dx.doi.org/10.1214/009053606000001118 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Lorentz Violation and Short-Baseline Neutrino Experiments

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    A general discussion is given of signals for broken Lorentz symmetry in short-baseline neutrino experiments. Among the effects that Lorentz violation can introduce are a dependence on energy differing from that of the usual massive-neutrino solution and a dependence on the direction of neutrino propagation. Using the results of the LSND experiment, explicit analysis of the effects of broken Lorentz symmetry yields a nonzero value (3+/-1) x 10^{-19} GeV for a combination of coefficients for Lorentz violation. This lies in the range expected for effects originating from the Planck scale in an underlying unified theory.Comment: 4 pages REVTe

    In vivo imaging of the tonoplast intrinsic protein family in Arabidopsis roots

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    Background: Tonoplast intrinsic proteins (TIPs) are widely used as markers for vacuolar compartments in higher plants. Ten TIP isoforms are encoded by the Arabidopsis genome. For several isoforms, the tissue and cell specific pattern of expression are not known. Results: We generated fluorescent protein fusions to the genomic sequences of all members of the Arabidopsis TIP family whose expression is predicted to occur in root tissues (TIP1;1 and 1;2; TIP2;1, 2;2 and 2;3; TIP4;1) and expressed these fusions, both individually and in selected pairwise combinations, in transgenic Arabidopsis. Analysis by confocal microscopy revealed that TIP distribution varied between different cell layers within the root axis, with extensive co-expression of some TIPs and more restricted expression patterns for other isoforms. TIP isoforms whose expression overlapped appeared to localise to the tonoplast of the central vacuole, vacuolar bulbs and smaller, uncharacterised structures. Conclusion: We have produced a comprehensive atlas of TIP expression in Arabidopsis roots, which reveals novel expression patterns for not previously studied TIPs

    Portable dynamic fundus instrument

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    A portable diagnostic image analysis instrument is disclosed for retinal funduscopy in which an eye fundus image is optically processed by a lens system to a charge coupled device (CCD) which produces recordable and viewable output data and is simultaneously viewable on an electronic view finder. The fundus image is processed to develop a representation of the vessel or vessels from the output data

    Ontario Ministry of Natural Resources South-Central Region Bobwhite Quail Rehabilitation Program

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    Archaeological and historical evidence on status of northern bobwhites (Colinus virginianus) in southern Ontario prior to European settlement is not clear. The bird was documented on the Essex and Kent County prairies at the time of European settlement in the early l700\u27s. Early farmsteading increased available habitat space for quail. That landscape, combined with mild winters in the l 840\u27s, enabled bobwhites to expand their ranges. By the mid-l 850\u27s, bobwhites ranged generally throughout Ontario\u27s tallgrass prairie and savannah communities extending from the Detroit River approximately 300 miles north into Simcoe County, the southeast limit of Georgian Bay, and 400 miles east to Kingston, the eastern limit of Lake Ontario. Bobwhites became a valued upland bird in pioneer Ontario for hunting, viewing and controlling farm garden weed seeds and insects. The detrimental impacts of harsh winters were a major contributor to quail declines from the late l 850\u27s to the l 980\u27s. Additionally, more subtle factors which also contributed detrimental stresses were loss of tallgrass prairie and savannah, intensive agriculture, continued deforestation, urbanization, pesticide use, the taking of wild stock for pen-rearing and the low survival rates of introduced cultured stocks into the wild. In summary, bobwhites in Ontario declined due to the destruction, impairment and fragmentation of wildlife habitat. The population stabilized at low numbers during the early l 980\u27s. Recreational harvesting of the species continued into the l 970\u27s. Gun harvests probably at no time exerted a controlling influence on the quail populations. The harvest diminished to non-existence in the 1980\u27s. The hunting seasons for wild populations were eliminated in the l 990\u27s. People continued to appreciate the bird for recreational viewing and dog training opportunities. In spite of agricultural trends towards less intensive land uses, new emphases on resource and environmental conservation and rehabilitation, as well as milder winters in the l 980\u27s and l 990\u27s, bobwhite numbers have not rebounded in southwest Ontario. Approximately 185 birds in 16 coveys throughout Elgin, Lambton and Middlesex counties were documented in 1990. Although large areas of suitable land are unoccupied by bobwhites, populations remain small, disjunct and isolated. Ontario Ministry of Natural Resources formed partnerships with a number of other governmental agencies, non-governmental organizations and landowners, to initiate the rehabilitation of bobwhite quail in southern Ontario. The Ontario Federation of Anglers and Hunters, their affiliate and individual members, are a key sponsor to this rehabilitation initiative. These groups have participated in an advisory committee, raised funds, and offered volunteer labor, predator control services adjacent to release sites, and professional services. The committee recommended the transfer of wild bobwhites from other North American populations as a means of rehabilitating Ontario populations. The program\u27s goal is to reestablish larger, sustainable populations of quail in southern Ontario to provide recreational viewing and hunting opportunities. It is anticipated that large numbers of urban and rural Ontarians will be pleased with the reestablishment of northern bobwhites and the recreational viewing and hunting benefits they provide. Restoration of quail hunting opportunities will generate economic benefits in Ontario and may be a suitable method for monitoring the grass-shrubland ecotone. Healthy quail populations also have the potential to function as natural control agents for some crop pests

    Monte Carlo cluster algorithm for fluid phase transitions in highly size-asymmetrical binary mixtures

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    Highly size-asymmetrical fluid mixtures arise in a variety of physical contexts, notably in suspensions of colloidal particles to which much smaller particles have been added in the form of polymers or nanoparticles. Conventional schemes for simulating models of such systems are hamstrung by the difficulty of relaxing the large species in the presence of the small one. Here we describe how the rejection-free geometrical cluster algorithm (GCA) of Liu and Luijten [Phys. Rev. Lett 92, 035504 (2004)] can be embedded within a restricted Gibbs ensemble to facilitate efficient and accurate studies of fluid phase behavior of highly size-asymmetrical mixtures. After providing a detailed description of the algorithm, we summarize the bespoke analysis techniques of Ashton et al. [J. Chem. Phys. 132, 074111 (2010)] that permit accurate estimates of coexisting densities and critical-point parameters. We apply our methods to study the liquid--vapor phase diagram of a particular mixture of Lennard-Jones particles having a 10:1 size ratio. As the reservoir volume fraction of small particles is increased in the range 0--5%, the critical temperature decreases by approximately 50%, while the critical density drops by some 30%. These trends imply that in our system, adding small particles decreases the net attraction between large particles, a situation that contrasts with hard-sphere mixtures where an attractive depletion force occurs.Comment: 11 pages, 10 figure

    Big Data, Big Knowledge: Big Data for Personalized Healthcare.

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    The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients. But in practice no model is ever entirely phenomenological or entirely mechanistic. We propose in this position paper that big data analytics can be successfully combined with VPH technologies to produce robust and effective in silico medicine solutions. In order to do this, big data technologies must be further developed to cope with some specific requirements that emerge from this application. Such requirements are: working with sensitive data; analytics of complex and heterogeneous data spaces, including nontextual information; distributed data management under security and performance constraints; specialized analytics to integrate bioinformatics and systems biology information with clinical observations at tissue, organ and organisms scales; and specialized analytics to define the "physiological envelope" during the daily life of each patient. These domain-specific requirements suggest a need for targeted funding, in which big data technologies for in silico medicine becomes the research priority

    A census of massive stars in NGC 346. Stellar parameters and rotational velocities

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    Spectroscopy for 247 stars towards the young cluster NGC 346 in the Small Magellanic Cloud has been combined with that for 116 targets from the VLT-FLAMES Survey of Massive Stars. Spectral classification yields a sample of 47 O-type and 287 B-type spectra, while radial-velocity variations and/or spectral multiplicity have been used to identify 45 candidate single-lined systems, 17 double-lined systems, and one triple-lined system. Atmospheric parameters (Teff_eff and loggg) and projected rotational velocities (vev_esinii) have been estimated using TLUSTY model atmospheres; independent estimates of vev_esinii were also obtained using a Fourier Transform method. Luminosities have been inferred from stellar apparent magnitudes and used in conjunction with the Teff_eff and vev_esinii estimates to constrain stellar masses and ages using the BONNSAI package. We find that targets towards the inner region of NGC 346 have higher median masses and projected rotational velocities, together with smaller median ages than the rest of the sample. There appears to be a population of very young targets with ages of less than 2 Myr, which have presumably all formed within the cluster. The more massive targets are found to have lower vev_esinii consistent with previous studies. No significant evidence is found for differences with metallicity in the stellar rotational velocities of early-type stars, although the targets in the SMC may rotate faster than those in young Galactic clusters. The rotational velocity distribution for single non-supergiant B-type stars is inferred and implies that a significant number have low rotational velocity (\simeq10\% with vev_e<40 km/s), together with a peak in the probability distribution at vev_e \simeq300 km/s. Larger projected rotational velocity estimates have been found for our Be-type sample and imply that most have rotational velocities between 200-450 km/s.Comment: Accepted by A&
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