Lines in the sand: Social representations of substance use boundaries in life narratives

This study identifies social representations in interviews about alcohol and substance use in the discourse of 129 young adults, who were interviewed for 2.5 to 3.5 hr each for their life histories and use or nonuse of alcoholic beverages and drugs. Respondents spontaneously delineated their substance use boundaries, creating a continuum of behaviors with boundary points separating acceptable from unacceptable behaviors. They used signaling expressions to indicate go and stop signs and movement along the substance use continuum and reported negotiating substance use boundaries both internally and with peers. A ubiquitous narrative element was the cautionary tale, in which a negative exemplar goes too far with alcohol and/or drugs, providing an example of the possible negative outcomes of transgressing boundaries. In general, the narratives revealed complex relationships to alcohol and other drugs that may be useful in refining messages for more effective communication in prevention and intervention programs

Matchings with externalities and attitudes

Two-sided matchings are an important theoretical tool used to model markets and social interactions. In many real-life problems the utility of an agent is influenced not only by their own choices, but also by the choices that other agents make. Such an influence is called an externality. Whereas fully expressive representations of externalities in matchings require exponential space, in this paper we propose a compact model of externalities, in which the influence of a match on each agent is computed additively. Under this framework, we analyze many-to-many matchings and one-to-one matchings where agents take different attitudes when reasoning about the actions of others. In particular, we study optimistic, neutral and pessimistic attitudes and provide both computational hardness results and polynomial-time algorithms for computing stable outcomes

Efficient computation of the Shapley value for game-theoretic network centrality

The Shapley value—probably the most important normative payoff division scheme in coalitional games—has recently been advocated as a useful measure of centrality in networks. However, although this approach has a variety of real-world applications (including social and organisational networks, biological networks and communication networks), its computational properties have not been widely studied. To date, the only practicable approach to compute Shapley value-based centrality has been via Monte Carlo simulations which are computationally expensive and not guaranteed to give an exact answer. Against this background, this paper presents the first study of the computational aspects of the Shapley value for network centralities. Specifically, we develop exact analytical formulae for Shapley value-based centrality in both weighted and unweighted networks and develop efficient (polynomial time) and exact algorithms based on them. We empirically evaluate these algorithms on two real-life examples (an infrastructure network representing the topology of the Western States Power Grid and a collaboration network from the field of astrophysics) and demonstrate that they deliver significant speedups over the Monte Carlo approach. Fo

Territorial marketing as a tool for building cooperation of local authorities with investors

The aim of the study was to identify, analyze and evaluate the attitude of entrepreneurs towards cooperation and relations with the local government authorities. The study attempted to assess the instruments of territorial marketing in use and their impact on the investment. The study showed that entrepreneurs have mostly negative assessment of local authorities. Among marketing tools, only promotion and advertising activities have been noted in use in surveyed municipalities. Local authorities rest passive when communicating to business – initiative always belongs to entrepreneurs

Estimation of historical groundwater contaminant distribution using the adjoint state method applied to geostatistical inverse modeling

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95609/1/wrcr10022.pd

High resolution measurements of kinetic energy release distributions of neon, argon, and krypton cluster ions using a three sector field mass spectrometer

Using a newly constructed three sector field mass spectrometer (resulting in a BE1E2 field configuration) we have measured the kinetic energy release distributions of neon, argon, and krypton cluster ions. In the present study we used the first two sectors, B and E1, constituting a high resolution mass spectrometer, to select the parent ions in terms of mass, charge, and energy, and studied the decay of those ions in the third field free region. Due to the improved mass resolution we were able to extend earlier studies carried out with a two sector field machine, where an upper size limit arose from the fact that several isotopomers contribute to a decaying parent ion beam when the cluster size exceeds a certain value. Furthermore we developed a new data analysis. It allows us to model also fragment ion peaks that are a superposition of different decay reactions and thus we can determine the average kinetic energy release for all decay reactions of a given cluster ion. In a further step we used these results to determine the binding energies of cluster ions Rg(n) (ngreater than or equal to10) by applying finite heat bath theory. The smaller sizes have not been included in this analysis, because the validity of finite heat bath theory becomes questionable below napproximate to10. The present average kinetic energy releases and binding energies are compared with other experiments and various calculations. (C) 2004 American Institute of Physics