Pollutant Ground Concentrations of Nonneutrally Buoyant Particles

A methodology is suggested for the estimation of the mass density and the cumulative ground deposition of a nonvolatile, nonneutrally buoyant, air pollutant (liquid or solid) released from a polluted column (following an explosion caused during routine operation in, e.g., the chemical industry or due to any kind of hostile act) and deposited on the ground via gravitational settling. In many cases, the deposited mass due to gravitational settling constitutes a significant fraction of the original inventory released from the source. Implementation of the methodology in preliminary risk assessments can serve as an efficient tool for emergency planning for both immediate and long‐term measures such as evacuation and decontamination. The methodology considers, inter alia, an estimation of the critical particle diameter, particle size, and mass distributions along the polluted column. This methodology was developed to apply in rural regions since proper application of relevant meteorological input data can be accomplished mainly for such areas.     

English in French Commercial Advertising: Simultaneity,bivalency, and language boundaries

In recent decades, sociolinguists have begun to challenge the traditional view that multilingualism is fundamentally composed of discrete systems known as ‘languages’. Supporting the assessment that languages are not bounded entities but sociocultural and ideological constructions, this article explores commercial advertisements in France, which are subject to language policies assuming that ‘French’ is easily separable from ‘foreign languages’. Employing the Bakhtinian‐influenced notion of bivalency developed by Woolard (1998), the article argues for a special consideration of mixed‐language advertising in France, rooted not only in linguistic form, but also in the specific contextual tension produced by the socio‐political statuses of French and English. The resulting creativity challenges the monolectal assumptions within French language management, indicating a clash of segregational language ideology with integrational language practices. The article further argues that this language mixing is bidirectional, as advertisements may both erase and emphasise the assumed boundaries between codes.     

A Social Networks Approach to Public Relations on Twitter: Social Mediators and Mediated Public Relations

This study proposes theoretical and practical frameworks to systematically examine mediated public relations in social media spaces. We applied a social network conceptual framework to identify and characterize social mediators that connect the US State Department with its international public. The results showed that social mediators vary in terms of their formality and interdependence. Formal social mediators were primarily US government agencies while informal social mediators were nongovernmental organizations (NGOs) and individuals. Notably, relationships with populations in the Middle East and North Africa were mediated primarily by informal actors, and formal mediators played a key role in connecting the public with everywhere else in the world. Government-related formal mediators and informal social mediators showed similar levels of bilateral relationships. In contrast, news media, the most traditional public relations mediators, were rarely found as social mediators and demonstrated the most unilateral relationships.     

Interval estimation: An information theoretic approach

ABSTRACT

We develop here an alternative information theoretic method of inference of problems in which all of the observed information is in terms of intervals. We focus on the unconditional case in which the observed information is in terms the minimal and maximal values at each period. Given interval data, we infer the joint and marginal distributions of the interval variable and its range. Our inferential procedure is based on entropy maximization subject to multidimensional moment conditions and normalization in which the entropy is defined over discretized intervals. The discretization is based on theory or empirically observed quantities. The number of estimated parameters is independent of the discretization so the level of discretization does not change the fundamental level of complexity of our model. As an example, we apply our method to study the weather pattern for Los Angeles and New York City across the last century.     

Notes on authors

Social network analysis (SNA), a method which can be used to explore networks in various contexts, has received increasing attention. Drawing on the development of European smoke-free policy, this paper explores how a mixed-method approach to SNA can be utilised to investigate a complex policy network. Textual data from public documents, consultation submissions and websites were extracted, converted and analysed using plagiarism detection software and quantitative network analysis and qualitative data from public documents and 35 interviews were thematically analysed. While the quantitative analysis enabled understanding of the network’s structure and components, the qualitative analysis provided in-depth information about specific actors’ positions, relationships and interactions. The paper establishes that SNA is suited to empirically testing and analysing networks in EU policy-making. It contributes to methodological debates about the antagonism between qualitative and quantitative approaches and demonstrates that qualitative and quantitative network analysis can offer a powerful tool for policy analysis.     

Political leaders in the SYMLOG space: Perceptions of right and left wing leaders by right and left wing constituencies

Systematic Multiple Level Observation of Groups (SYMLOG) was applied to studying images of political leaders. Three left wing and three right wing Israeli leaders were evaluated by left and right wing voters along the SYMLOG's three dimensions—friendliness, task orientation, and dominance. It was found that right wing voters rated right wing leaders higher on friendliness and task orientation than left wing leaders. In a similar fashion, left wing voters viewed left wing leaders as more friendly and task-oriented than right wing leaders. Leaders of the right were viewed as more dominant than leaders of the left by left and right wing voters alike. Right and left wing voters assigned different SYMLOG types to right and left wing leaders. The dimension that distinguished between the various images was the dimension of friendliness. Whereas for right wing voters, all images of right wing leaders included a component of friendliness, none of these three images included an accented component of friendliness when rated by left wing voters. In a similar fashion, left wing voters saw two out of the three left wing leaders as including a component of friendliness, whereas none of the three left wing images included this component for right wing voters. Respondents from the right and the left rated their “ideal leader” as reflecting values of “dominance”, “friendliness,” and “task-orientation”. However, respondents saw leaders affiliated with their own political camp as closer to their image of the ideal leader on friendliness and task-orientation than leaders of the opposite political camp. Both right and left wing voters saw all political leaders as equally similar to their image of “ideal leader” on the “dominance” dimension regardless of that leader's political affiliation.     

Computation of the central and noncentral f distributions

Recursion relations suitable for rapid computation are derived for the cumulative distribution of F′ = (X/m)/(Y/n) where X is χ²(λ, m) and Y is independently χ²(n). When n is even no complicated function evaluations are needed. For n odd, a special doubly noncentral t distribution is needed to start the computation. Series representations for this t distribution are given with rigorous bounds on truncation errors. Proper recursion techniques for numerical evaluation of the special functions are given.     

A Small-Sample Estimator for the Sample-Selection Model

A semiparametric estimator for evaluating the parameters of data generated under a sample selection process is developed. This estimator is based on the generalized maximum entropy estimator and performs well for small and ill-posed samples. Theoretical and sampling comparisons with parametric and semiparametric estimators are given. This method and standard ones are applied to three small-sample empirical applications of the wage-participation model for female teenage heads of households, immigrants, and Native Americans.     

Preliminary Evaluation of the Validity and Reliability of the Spanish Version of the Therapeutic Alliance with Clinician (TAC) Questionnaire

As part of a broader study aimed at evaluating perceived alliance with service providers and level of satisfaction with services received, 103 monolingual Spanish speaking Hispanic women were interviewed. Participants were receiving ongoing behavioral health treatment at three different community service provider sites located in the greater New Haven area in Connecticut. These sites included a community health center (n = 40), a community behavioral health center (n = 40), and a faith-based agency (n = 23). As part of this study, the English version of the Therapeutic Alliance with Clinician (TAC) questionnaire was translated into Spanish and administered to our sample of Hispanic women. Results on the psychometric properties of the Spanish version of the TAC are presented in this article.