Quantitative Assessment of the Health Risk for Livestock When Animal Viruses Are Applied in Human Oncolytic Therapy: A Case Study for Seneca Valley Virus

Some viruses cause tumor regression and can be used to treat cancer patients; these viruses are called oncolytic viruses. To assess whether oncolytic viruses from animal origin excreted by patients pose a health risk for livestock, a quantitative risk assessment (QRA) was performed to estimate the risk for the Dutch pig industry after environmental release of Seneca Valley virus (SVV). The QRA assumed SVV excretion in stool by one cancer patient on Day 1 in the Netherlands, discharge of SVV with treated wastewater into the river Meuse, downstream intake of river water for drinking water production, and consumption of this drinking water by pigs. Dose–response curves for SVV infection and clinical disease in pigs were constructed from experimental data. In the worst scenario (four log₁₀ virus reduction by drinking water treatment and a farm with 10,000 pigs), the infection risk is less than 1% with 95% certainty. The risk of clinical disease is almost seven orders of magnitude lower. Risks may increase proportionally with the numbers of treated patients and days of virus excretion. These data indicate that application of wild‐type oncolytic animal viruses may infect susceptible livestock. A QRA regarding the use of oncolytic animal virus is, therefore, highly recommended. For this, data on excretion by patients, and dose–response parameters for infection and clinical disease in livestock, should be studied.     

National Identity,Globalization and the Discursive Construction of Organizational Identity*

This paper pursues two goals. First, it explores the connections between national identity and organizational globalization within the context of three British organizations' attempts to synchronize their corporate and organizational identities through diversity management initiatives. Second, it teases out the implications of these connections for current theorizing on organizational identity, looking in particular to extend Hatch and Schultz's (Human Relations, 55 (2002) , pp. 989–1018) processual model of image– culture dynamics. Based on a Foucauldian theoretical frame, and a data set comprising 36 in‐depth interviews, we show the complex and highly particular relationships between articulations of Britishness, and corporate, organizational and personal identities. Such complexity is suggestive of the contradictory connections between national and organizational identities, and of the disjointed, discursive and affective characteristics of organizational identity. Our contribution to the study of organizational identity lies in both an illumination of the local discursive dynamics of identity construction at the individual and collective levels, and an assertion of the ontological role of discourse(s) in structuring understandings and expressions of organizational identity.     

Asymptotic Efficiency in Parametric Structural Models with Parameter‐Dependent Support

In certain auction, search, and related models, the boundary of the support of the observed data depends on some of the parameters of interest. For such nonregular models, standard asymptotic distribution theory does not apply. Previous work has focused on characterizing the nonstandard limiting distributions of particular estimators in these models. In contrast, we study the problem of constructing efficient point estimators. We show that the maximum likelihood estimator is generally inefficient, but that the Bayes estimator is efficient according to the local asymptotic minmax criterion for conventional loss functions. We provide intuition for this result using Le Cam's limits of experiments framework.     

The Need for a New Theory of Production in Economics

The article argues that there is a need for a new theory of production economics. The premise is that the only extant theory of production in orthodox discourse depends on the maximising model of human behaviour. Adam Smith's bifurcation of economic theory into the province of self-interest and that of justice also blocked off the potential for germinating a theory of production that would draw on motives other than self-interest. The foundations for such an approach have already been set out by Bray in a neglected study. He suggested that mathematical economics was held back, rather than advanced, by its bondage to static equilibrium analysis.     

THE STRUCTURE OF EXECUTIVE INFORMATION SYSTEMS: AN EXPLORATORY ANALYSIS

This paper reports on a study which attempted to identify the structure of executive information systems and evaluate their relationship to decision making. The study centered on answering the question: “Where and how do senior executives get their decision-making information?” The data, provided by five senior executives, were gathered by a variety of means which included personal interviews, questionnaires, and logs of the executives' incoming-information transactions for a two-week period. Our findings support beliefs that senior executives receive much information from the environment, that informal systems play a role equal to that of formal systems, and that computers do not provide much information directly to an executive. The study also found that internal information is important and that preferred sources and media vary with different decision roles. The authors suggest that the scope of MIS and DSS be broadened to match those information networks managers actually rely on in daily practice.     

OPERATING POLICIES FOR SCHEDULING ASSEMBLED PRODUCTS

This paper describes a simulation study of the relative impact of different operating policies on performance of a hypothetical multistage production system that produces assembled products. The main objective of this study is to examine the impact of operating policy rules on system performance. Several performance criteria, including flow time and earliness and tardiness measures, were used to evaluate system performance. Results show that performance of the production system is significantly influenced by the operating policy rules, although the relative impact of the rules is dependent on the performance measure considered. Interactions between and among policy rules were also found to be important in several cases. Overall, the results indicate that much previous research in non-assembly systems can be generalized to assembly systems. Subject Areas: Scheduling, Material Requirements Planning, and Simulation.     

MODELING DEMAND DURING LEAD TIME*

This paper treats some of the important considerations in constructing an analytical model for the distribution of demand during lead time. It presents a formal model that can be developed along one of two lines. The first has order size and order intensity leading to a compound distribution of period demand, then period demand and lead time giving rise to a compound distribution of demand during lead time. The second has order intensity and lead time giving rise to a compound distribution of lead-time order intensity, then lead-time order intensity and order size leading to a compound distribution of demand during lead time. The paper also condenses the state of the art in a table and proposes some simple classification schemes that could help researchers extend that state of the art.     

Setup Reduction in the Economic Production Quantity Model

We present an analysis of setup cost reduction using the economic production quantity model. The objectives of the paper are to draw conclusions by investigating several classes of setup reduction functions and to provide a general solution procedure. We examine the trade-offs between reduced inventories and increased capital investment and show that given any hypothetical setup cost reduction function, we can determine whether the total relevant cost can be reduced and how the reduction is achieved.