1,787 research outputs found

    Space requirements for pullets and layers on litter

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    UNEVEN growth, cannibalism, weakened resistance to disease, unsanitary conditions and poor production commonly arise from failure to provide sufficient floor, feed and watering space for pullets and layers

    What Can Philosophers Really Learn from Science Journals?

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    Philosophers of science regularly use scientific publications in their research. To make their analyses of the literature more thorough, some have begun to use computational methods from the digital humanities (DH). Yet this creates a tension: it’s become a truism in science studies that the contents of scientific publications do not accurately reflect the complex realities of scientific investigation. In this paper, we outline existing views on how scientific publications fit into the broader picture of science as a system of practices, and find that none of these views exclude articles as valuable sources for philosophical inquiry. Far from ignoring the gap between texts and practice, proper use of DH tools requires, and can even contribute to, our understanding of that gap and its implications

    The Impact of Different Absolute Solar Irradiance Values on Current Climate Model Simulations

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    Simulations of the preindustrial and doubled CO2 climates are made with the GISS Global Climate Middle Atmosphere Model 3 using two different estimates of the absolute solar irradiance value: a higher value measured by solar radiometers in the 1990s and a lower value measured recently by the Solar Radiation and Climate Experiment. Each of the model simulations is adjusted to achieve global energy balance; without this adjustment the difference in irradiance produces a global temperature change of 0.48C, comparable to the cooling estimated for the Maunder Minimum. The results indicate that by altering cloud cover the model properly compensates for the different absolute solar irradiance values on a global level when simulating both preindustrial and doubled CO2 climates. On a regional level, the preindustrial climate simulations and the patterns of change with doubled CO2 concentrations are again remarkably similar, but there are some differences. Using a higher absolute solar irradiance value and the requisite cloud cover affects the model's depictions of high-latitude surface air temperature, sea level pressure, and stratospheric ozone, as well as tropical precipitation. In the climate change experiments it leads to an underestimation of North Atlantic warming, reduced precipitation in the tropical western Pacific, and smaller total ozone growth at high northern latitudes. Although significant, these differences are typically modest compared with the magnitude of the regional changes expected for doubled greenhouse gas concentrations. Nevertheless, the model simulations demonstrate that achieving the highest possible fidelity when simulating regional climate change requires that climate models use as input the most accurate (lower) solar irradiance value

    Filling the intervention gap: service evaluation of an intensive nonsurgical weight management programme for severe and complex obesity

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    Background: Weight management including formula total diet replacement (TDR) is emerging as an effective intervention for severe and complex obesity, particularly with respect to type 2 diabetes (T2DM). However, no prospective audit and service evaluation of such programmes have been reported. Methods: Following initial feasibility piloting, the Counterweight‐Plus programme was commissioned across a variety of healthcare providers. The programme includes: Screening, TDR (formula low energy diet), food reintroduction and weight loss maintenance, all delivered by staff with 8 h of training, in‐service mentoring, ongoing specialist support and access to medical consultant expertise. Anonymised data are returned centrally for clinical evaluation. Results: Up to December 2016, 288 patients commenced the programme. Mean (SD) baseline characteristics were: age 47.5 (12.7) years, weight 128.0 (32.0) kg, body mass index 45.7 (10.1) kg m−2, n = 76 (26.5%) were male and n = 99 (34.5%) had T2DM. On an intention‐to‐treat (ITT) basis, a loss of ≥15 kg at 12 months was achieved by 48 patients, representing 22.1% of all who started and 40% of those who maintained engagement. For complete cases, mean (95% confidence interval) weight loss was 13.3 (12.1–14.4) kg at 3 months, 16.0 (14.4–17.6) kg at 6 months and 14.2 (12.1–16.3) kg at 12 months (all P < 0.001), with losses to follow‐up of 10.8%, 29.3% and 44.2%, respectively. Mean loss at 12 months by ITT analyses was: single imputation –10.5 (9.5) kg, last observation carried forward –10.9 (11.6) kg and baseline observation carried forward –7.9 (11.1) kg. The presence of diabetes had no significant impact on weight change outcomes. Conclusions: This nonsurgical approach is effective for many individuals with severe and complex obesity, representing an option before considering surgery. The results are equally effective in terms of weight loss for people with T2DM

    Monte Carlo simulation of the transmission of measles: Beyond the mass action principle

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    We present a Monte Carlo simulation of the transmission of measles within a population sample during its growing and equilibrium states by introducing two different vaccination schedules of one and two doses. We study the effects of the contact rate per unit time ξ\xi as well as the initial conditions on the persistence of the disease. We found a weak effect of the initial conditions while the disease persists when ξ\xi lies in the range 1/L-10/L (LL being the latent period). Further comparison with existing data, prediction of future epidemics and other estimations of the vaccination efficiency are provided. Finally, we compare our approach to the models using the mass action principle in the first and another epidemic region and found the incidence independent of the number of susceptibles after the epidemic peak while it strongly fluctuates in its growing region. This method can be easily applied to other human, animals and vegetable diseases and includes more complicated parameters.Comment: 15 pages, 4 figures, 1 table, Submitted to Phys.Rev.

    Digital Literature Analysis for Empirical Philosophy of Science

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    Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities (DH), which allow us to analyze large volumes of scientific literature. Here we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships
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