2,929 research outputs found

    FollowMe: A Bigraphical Approach

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    In this paper we illustrate the use of modelling techniques using bigraphs to specify and refine elementary aspects of the FollowMe framework. This framework provides the seamless migration of bi-directional user interfaces for users as they navigate between zones within an intelligent environment

    Towards FollowMe User Profiles for Macro Intelligent Environments

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    We envision an Ambient Intelligent Environment as an environment with technology embedded within the framework of that environment to help enhance an users experience in that environment. Existing implementations , while working effectively, are themselves an expensive and time consuming investment. Applying the same expertise to an environment on a monolithic scale is very inefficient, and thus, will require a different approach. In this paper, we present this problem, propose theoretical solutions that would solve this problem, with the guise of experimentally verifying and comparing these approaches, as well as a formal method to model the entire scenario

    A unified approach to linking experimental, statistical and computational analysis of spike train data

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    A fundamental issue in neuroscience is how to identify the multiple biophysical mechanisms through which neurons generate observed patterns of spiking activity. In previous work, we proposed a method for linking observed patterns of spiking activity to specific biophysical mechanisms based on a state space modeling framework and a sequential Monte Carlo, or particle filter, estimation algorithm. We have shown, in simulation, that this approach is able to identify a space of simple biophysical models that were consistent with observed spiking data (and included the model that generated the data), but have yet to demonstrate the application of the method to identify realistic currents from real spike train data. Here, we apply the particle filter to spiking data recorded from rat layer V cortical neurons, and correctly identify the dynamics of an slow, intrinsic current. The underlying intrinsic current is successfully identified in four distinct neurons, even though the cells exhibit two distinct classes of spiking activity: regular spiking and bursting. This approach – linking statistical, computational, and experimental neuroscience – provides an effective technique to constrain detailed biophysical models to specific mechanisms consistent with observed spike train data.Published versio

    Individual animal tests for ovine Johne's disease.

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    Routine diagnostic tests for ovine paratuberculosis have poor sensitivity in the early stages of the disease, and transmission often occurs before detection. Currently there are no tests to accurately confirm early infection in individual sheep. Such tests are required to provide trading opportunities for producers who may have valuable stock at low risk of infection. Surgical biopsy is one means of disease detection using relatively sensitive laboratory procedures, but was unproven. 77 sheep grazing on a heavily infected farm were examined at 12, 18 and 24 months of age by histopathology and culture of biopsied ileum and mesenteric lymph nodes. Results from biopsy were compared to those from routine tests (ELISA, AGID, IFN-γ, skin testing, faecal culture and direct PCR) applied at six-monthly intervals, and to necropsy findings at three years of age. A total of 170 biopsies were performed without serious complications, and the samples collected were adequate for culture and histological assessment of paratuberculosis. Overall, 36% of sheep were shown to be uninfected at 3 years of age. Of these, 16 were uninfected at all sampling times and 11 sheep had recovered. (ie. They had been infected at an earlier sampling.) The remaining 64% of sheep were classified at necropsy as infected. Biopsy was consistently the most sensitive nonlethal technique for identification of infected sheep, although even at 36 months it detected only 2/3 of infected sheep. It may be useful as an additional tool in the management for individual valuable sheep from infected stud flocks

    The value of preventing malaria in Tembien, Ethiopia

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    The authors measure the monetary value households place on preventing malaria in Tembien, Tigray Region, Ethiopia. They estimate a household demand function for a hypothetical malaria vaccine and compute the value of preventing malaria as the household's maximum willingness to pay to provide vaccines for all family members. They contrast willingness to pay with the traditional costs of illness (medical costs and time lost because of malaria). Their results indicate that the value of preventing malaria with vaccines is about US36ahouseholdayear,orabout15percentofimputedannualhouseholdincome.Thisis,onaverage,abouttwoorthreetimestheexpectedhouseholdcostofillness.Despitethegreatbenefitsfrompreventingmalaria,thefactthatvaccinedemandispriceinelasticsuggeststhatitwillbedifficulttoachievesignificantmarketpenetrationunlessthevaccineissubsidized.Theauthorsobtainsimilarresultsforinsecticide−treatedbednets.Theirestimatesofhouseholddemandfunctionsforbednetssuggestthatatapricethatmightpermitcostrecovery(US36 a household a year, or about 15 percent of imputed annual household income. This is, on average, about two or three times the expected household cost of illness. Despite the great benefits from preventing malaria, the fact that vaccine demand is price inelastic suggests that it will be difficult to achieve significant market penetration unless the vaccine is subsidized. The authors obtain similar results for insecticide-treated bed nets. Their estimates of household demand functions for bed nets suggest that at a price that might permit cost recovery (US6 a bed net), only a third of the population of a 200-person village would sleep under bed nets.Early Child and Children's Health,Public Health Promotion,Disease Control&Prevention,Health Monitoring&Evaluation,Economic Theory&Research,Health Monitoring&Evaluation,Economic Theory&Research,Climate Change,Environmental Economics&Policies,Early Child and Children's Health

    Calculating Optimum Daily Gain for Wintering Replacement Beef Heifers

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    Research has demonstrated that weight of the yearling heifer is an important factor affecting puberty and initiation of the reproductive cycle. Work at several institutions including South Dakota State has demonstrated that rate of gain from weaning to start of the breeding season influences the proportion of heifers that settle. The objective of this project was to provide the producer with an easy way of calculating this desired rate of growth

    Preweaning and Postweaning Performance of Crossbred Calves--0, 1 or 2 Ralgro Implants

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    The preweaning performance of 221 steer and heifer calves given differing numbers of Ralgro implants was evaluated. The steer and heifer calves given one implant had an additional 23 and 33 lb weaning weight compared to those receiving no implant. No additional response was shown by steer calves receiving a second implant 100 days after the first was given. Average daily gains during the 105-day growing period were not significantly faster than those receiving two implants during the 103-day finishing phase. This work supports other studies indicating that implanting calves at weaning time is an economical management practice. The work further indicates to feeders that calfhood implants have little or no effect on subsequent performance in the feedlot

    Feedlot Performance of Growing Steer Calves on a High Roughage Ration Supplemented with a High Bypass or an All Natural Protein Supplement

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    This study was undertaken to compare a urea-based protein supplement containing meat and bone meal and dehydrated alfalfa as the primary by-pass protein source to a protein supplement containing soybean meal and sunflower meal as the protein sources
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