4,029 research outputs found

    The Benefits of Campaign Spending

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    Critics of American politics often say that spending on electoral campaigns harms our democracy. They charge that the money goes for cynical, negative, and misleading advertisements that alienate the public from politics and elections. Political scientists have collected and analyzed data on the connection between campaign spending and civic life. The data bear on several questions at issue in campaign finance debates: Does campaign spending reduce public trust? Does it reduce levels of citizen involvement in or attention to campaigns? Does it lower citizens' knowledge of information relevant to their votes? Who benefits from campaign spending? Studies indicate that campaign spending does not diminish trust, efficacy, and involvement, contrary to what critics charge. Moreover, spending increases public knowledge of the candidates, across essentially all groups in the population. Less spending on campaigns is not likely to increase public trust, involvement, or attention. Implicit or explicit spending limits reduce public knowledge during campaigns. Getting more money into campaigns should, on the whole, be beneficial to American democracy

    Muddy Waters: Allis-Chalmers And The Federal Policy Favoring Labor Arbitration

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    Integrated control of vector-borne diseases of livestock--pyrethroids: panacea or poison?

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    Tick- and tsetse-borne diseases cost Africa approximately US$4-5 billion per year in livestock production-associated losses. The use of pyrethroid-treated cattle to control ticks and tsetse promises to be an increasingly important tool to counter this loss. However, uncontrolled use of this technology might lead to environmental damage, acaricide resistance in tick populations and a possible exacerbation of tick-borne diseases. Recent research to identify, quantify and to develop strategies to avoid these effects are highlighted

    The joint US/UK 1990 epoch world magnetic model

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    A detailed summary of the data used, analyses performed, modeling techniques employed, and results obtained in the course of the 1990 Epoch World Magnetic Modeling effort are given. Also, use and limitations of the GEOMAG algorithm are presented. Charts and tables related to the 1990 World Magnetic Model (WMM-90) for the Earth's main field and secular variation in Mercator and polar stereographic projections are presented along with useful tables of several magnetic field components and their secular variation on a 5-degree worldwide grid

    Modeling kicks from the merger of generic black-hole binaries

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    Recent numerical relativistic results demonstrate that the merger of comparable-mass spinning black holes has a maximum ``recoil kick'' of up to \sim 4000 \kms. However the scaling of these recoil velocities with mass ratio is poorly understood. We present new runs showing that the maximum possible kick perpendicular to the orbital plane does not scale as ∼η2\sim\eta^2 (where η\eta is the symmetric mass ratio), as previously proposed, but is more consistent with ∼η3\sim\eta^3, at least for systems with low orbital precession. We discuss the effect of this dependence on galactic ejection scenarios and retention of intermediate-mass black holes in globular clusters.Comment: 5 pages, 1 figure, 3 tables. Version published in Astrophys. J. Let

    Gaussian tree constraints applied to acoustic linguistic functional data

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    Evolutionary models of languages are usually considered to take the form of trees. With the development of so-called tree constraints the plausibility of the tree model assumptions can be assessed by checking whether the moments of observed variables lie within regions consistent with Gaussian latent tree models. In our linguistic application, the data set comprises acoustic samples (audio recordings) from speakers of five Romance languages or dialects. The aim is to assess these functional data for compatibility with a hereditary tree model at the language level. A novel combination of canonical function analysis (CFA) with a separable covariance structure produces a representative basis for the data. The separable-CFA basis is formed of components which emphasize language differences whilst maintaining the integrity of the observational language-groupings. A previously unexploited Gaussian tree constraint is then applied to component-by-component projections of the data to investigate adherence to an evolutionary tree. The results highlight some aspects of Romance language speech that appear compatible with an evolutionary tree model but indicates that it would be inappropriate to model all features as such

    A neural network simulation package in CLIPS

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    The intrinsic similarity between the firing of a rule and the firing of a neuron has been captured in this research to provide a neural network development system within an existing production system (CLIPS). A very important by-product of this research has been the emergence of an integrated technique of using rule based systems in conjunction with the neural networks to solve complex problems. The systems provides a tool kit for an integrated use of the two techniques and is also extendible to accommodate other AI techniques like the semantic networks, connectionist networks, and even the petri nets. This integrated technique can be very useful in solving complex AI problems
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