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Search Results: 1 - 10 of 32857 matches for " John Hogan "
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Selling Politics? How the Traits of Salespeople Manifest Themselves in Irish Politicians  [PDF]
Dónal ó Mearáin, Roger Sherlock, John Hogan
Open Journal of Political Science (OJPS) , 2013, DOI: 10.4236/ojps.2013.34024
Abstract:

This article seeks to uncover if some of the traits most associated with salespeople manifested themselves in the activities of candidates in the constituency of Dún Laoghaire during the 2007 Irish general election. Such a finding would suggest that just as political parties have looked to the marketing profession for their lead in developing political marketing, politicians are looking to, and adopting the traits of those in the sales profession. This would point to the traits that the modern politician must possess in order to get and remain elected. It would also raise significant questions in terms of how candidates present themselves to the electorate, as well as how they go about campaigning and formulating policy.

Contraction analysis of switched Filippov systems via regularization
Davide Fiore,S. John Hogan,Mario di Bernardo
Computer Science , 2015,
Abstract: In this paper we study incremental stability and convergence of switched (bimodal) Filippov systems via contraction analysis. In particular, we use regularization to derive sufficient conditions for convergence of any two trajectories of the Filippov system between each other within some region of interest. By using results on regularization of switched dynamical systems, we obtain conditions to ensure the Filippov system is contracting: namely that both modes of the system should be contracting and that the difference of the two modes evaluated at the switching manifold $\Sigma$ should verify an additional condition. Significantly, our conditions hold independent of the dynamics that are imposed on $\Sigma$. We then apply these conditions to the study of different classes of Filippov system including piecewise affine (PWA) systems, relay feedback systems and piecewise smooth (PWS) systems. We show that the conditions allow the system to be studied in metrics other than the Euclidean norm. The theoretical results are illustrated by numerical simulations on a set of representative examples that confirm their effectiveness and ease of application.
Simulation methods to estimate design power: an overview for applied research
Benjamin F Arnold, Daniel R Hogan, John M Colford, Alan E Hubbard
BMC Medical Research Methodology , 2011, DOI: 10.1186/1471-2288-11-94
Abstract: We review an approach to estimate study power for individual- or cluster-randomized designs using computer simulation. This flexible approach arises naturally from the model used to derive conventional power equations, but extends those methods to accommodate arbitrarily complex designs. The method is universally applicable to a broad range of designs and outcomes, and we present the material in a way that is approachable for quantitative, applied researchers. We illustrate the method using two examples (one simple, one complex) based on sanitation and nutritional interventions to improve child growth.We first show how simulation reproduces conventional power estimates for simple randomized designs over a broad range of sample scenarios to familiarize the reader with the approach. We then demonstrate how to extend the simulation approach to more complex designs. Finally, we discuss extensions to the examples in the article, and provide computer code to efficiently run the example simulations in both R and Stata.Simulation methods offer a flexible option to estimate statistical power for standard and non-traditional study designs and parameters of interest. The approach we have described is universally applicable for evaluating study designs used in epidemiologic and social science research.Estimating the sample size and statistical power for a study is an integral part of study design and has profound consequences for the cost and statistical precision of a study. There exist analytic (closed-form) power equations for simple designs such as parallel randomized trials with treatment assigned at the individual level or cluster (group) level [1]. Statisticians have also derived equations to estimate power for more complex designs, such as designs with two levels of correlation [2] or designs with two levels of correlation, multiple treatments and attrition [3]. The advantage of using an equation to estimate power for study designs is that the approach is fast and easy
Calf health from birth to weaning. III. housing and management of calf pneumonia
Ingrid Lorenz, Bernadette Earley, John Gilmore, Ian Hogan, Emer Kennedy, Simon J More
Irish Veterinary Journal , 2011, DOI: 10.1186/2046-0481-64-14
Abstract: Calfhood diseases have a major impact on the economic viability of cattle operations, due to the direct costs of calf losses and treatment and the long-term effects on performance [1]. Furthermore, calf health was prioritised as one of the most important animal health issues facing the Irish livestock industry in a recent expert Policy Delphi study conducted on behalf of Animal Health Ireland (AHI [2]. As part of ongoing AHI work, a group of experts was commissioned to provide evidence-based advice on calf health and disease management to Irish farmers, agricultural advisers and veterinary practitioners. As an initial step, a review series on calf health from birth to weaning has been developed, specifically to provide a scientific evidence base to underpin advisory tools on calf health, and to identify gaps in current knowledge to be filled with targeted research. Even though the envisaged output will be specific for Irish husbandry systems, the scope of the reviews should make them useful for the same purpose elsewhere. The reviews cover both suckler and dairy calf management. However, due to the differences in the nature of these systems, some topics will deal mainly or exclusively with either dairy or suckler calves.This paper is the last in a three part review series, which collectively focuses on calf health from birth to weaning. The first and second parts focus on general aspects of disease prevention [3] and the management of diarrhoea [4] in pre-weaned calves, respectively. In the current paper, we review housing and ventilation as well as prevention and management of pneumonia in recently weaned suckler calves and young dairy calves. There is a very distinct difference in the epidemiology of pneumonia of suckler calves and dairy calves. Most of the risk factors for pneumonia in young dairy calves are identical with what has been discussed in the first paper of this series [3], whereas additional risk factors for suckler calves will be discussed here.Calve
Bayesian Biosurveillance of Disease Outbreaks
Gregory F. Cooper,Denver Dash,John Levander,Weng-Keen Wong,William Hogan,Michael Wagner
Computer Science , 2012,
Abstract: Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal patterns of a non-contagious disease (respiratory anthrax infection) in a population of people. The number of parameters in such a network can become enormous, if not carefully managed. Also, inference needs to be performed in real time as population data stream in. We describe techniques we have applied to address both the modeling and inference challenges. A key contribution of this paper is the explication of assumptions and techniques that are sufficient to allow the scaling of Bayesian network modeling and inference to millions of nodes for real-time surveillance applications. The results reported here provide a proof-of-concept that Bayesian networks can serve as the foundation of a system that effectively performs Bayesian biosurveillance of disease outbreaks.
Towards a Networks-of-Networks Framework for Cyber Security
Mahantesh Halappanavar,Sutanay Choudhury,Emilie Hogan,Peter Hui,John R. Johnson,Indrajit Ray,Lawrence Holder
Computer Science , 2013,
Abstract: Networks-of-networks (NoN) is a graph-theoretic model of interdependent networks that have distinct dynamics at each network (layer). By adding special edges to represent relationships between nodes in different layers, NoN provides a unified mechanism to study interdependent systems intertwined in a complex relationship. While NoN based models have been proposed for cyber-physical systems, in this position paper we build towards a three-layered NoN model for an enterprise cyber system. Each layer captures a different facet of a cyber system. We present in-depth discussion for four major graph- theoretic applications to demonstrate how the three-layered NoN model can be leveraged for continuous system monitoring and mission assurance.
Agency, political economy, and the transnational democratic ideal
Brendan Hogan
Ethics & Global Politics , 2010, DOI: 10.3402/egp.v3i1.4852
Abstract:
CPT Results from KTeV
Hogan Nguyen
Physics , 2001,
Abstract: I present several preliminary measurements from KTeV of the fundamental neutral kaon parameters, and their implications for CPT violation. A new limit is given on the sidereal time dependence of $\phi_{+-}$. The results are based on data collected in 1996-97.
Quantum Geometry in the Lab
Craig Hogan
Physics , 2013,
Abstract: Standard particle theory is based on quantized matter embedded in a classical geometry. Here, a complementary model is proposed, based on classical matter -- massive bodies, without quantum properties -- embedded in a quantum geometry. It does not describe elementary particles, but may be a better, fully consistent quantum description for position states in laboratory-scale systems. Gravitational theory suggests that the geometrical quantum system has an information density of about one qubit per Planck length squared. If so, the model here predicts that the quantum uncertainty of geometry creates a new form of noise in the position of massive bodies, detectable by interferometers.
Quantum Geometry and Interferometry
Craig Hogan
Physics , 2012,
Abstract: All existing experimental results are currently interpreted using classical geometry. However, there are theoretical reasons to suspect that at a deeper level, geometry emerges as an approximate macroscopic behavior of a quantum system at the Planck scale. If directions in emergent quantum geometry do not commute, new quantum-geometrical degrees of freedom can produce detectable macroscopic deviations from classicality: spatially coherent, transverse position indeterminacy between any pair of world lines, with a displacement amplitude much larger than the Planck length. Positions of separate bodies are entangled with each other, and undergo quantum-geometrical fluctuations that are not describable as metric fluctuations or gravitational waves. These fluctuations can either be cleanly identified or ruled out using interferometers. A Planck-precision test of the classical coherence of space-time on a laboratory scale is now underway at Fermilab.
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