An assessment of two decades of contaminant monitoring in the Nation’s Coastal Zone.

Executive Summary: Information found in this report covers the years 1986 through 2005. Mussel Watch began monitoring a suite of trace metals and organic contaminants such as DDT, PCBs and PAHs. Through time additional chemicals were added, and today approximately 140 analytes are monitored. The Mussel Watch Program is the longest running estuarine and coastal pollutant monitoring effort conducted in the United States that is national in scope each year. Hundreds of scientific journal articles and technical reports based on Mussel Watch data have been written; however, this report is the first that presents local, regional and national findings across all years in a Quick Reference format, suitable for use by policy makers, scientists, resource managers and the general public. Pollution often starts at the local scale where high concentrations point to a specific source of contamination, yet some contaminants such as PCBs are atmospherically transported across regional and national scales, resulting in contamination far from their origin. Findings presented here showed few national trends for trace metals and decreasing trends for most organic contaminants; however, a wide variety of trends, both increasing and decreasing, emerge at regional and local levels. For most organic contaminants, trends have resulted from state and federal regulation. The highest concentrations for both metal and organic contaminants are found near urban and industrial areas. In addition to monitoring throughout the nation’s coastal shores and Great Lakes, Mussel Watch samples are stored in a specimen bank so that trends can be determined retrospectively for new and emerging contaminants of concern. For example, there is heightened awareness of a group of flame retardants that are finding their way into the marine environment. These compounds, known as polybrominated diphenyl ethers (PBDEs), are now being studied using historic samples from the specimen bank and current samples to determine their spatial distribution. We will continue to use this kind of investigation to assess new contaminant threats. We hope you find this document to be valuable, and that you continue to look towards the Mussel Watch Program for information on the condition of your coastal waters. (PDF contains 118 pages

On Automated Message Processing in Electronic Commerce and Work Support Systems: Speech Act Theory and Expressive Felicity

Electronic messaging, whether in an office environment or for electronic commerce, is normally carried out in natural language, even when supported by information systems. For a variety of reasons, it would be useful if electronic messaging systems could have semantic access to, that is, access to the meanings and contents of, the messages they process. Given that natural language understanding is not a practicable alternative, there remain three approaches to delivering systems with semantic access: electronic data interchange (EDI), tagged messages, and the development of a formal language for business communication (FLBC). We favor the latter approach. In this article we compare and contrast these three approaches, present a theoretical basis for an FLBC (using speech act theory), and describe a prototype implementation

Message Management Systems: Concepts, Motivations, and Strategic Effects

This paper motivates the need for system-level message management software. It begins by considering information flows in the workplace as a source of potential gains in efficiency. We next investigate work-flow automation and electronic data interchange (EDI) as indicative of current technologies applied to work processes and message management. Having described current technology and our vision of work processes, we propose an alternative, general-purpose, software technology for supporting application-to-application communication. Problems of EDI, of process-to-process communication, and of describing information items are discussed in terms of the communication problems they present. We then justify the need for this kind of software and layout the criteria (or plausibility conditions) for evaluating a proposal for this sort of system software. The use of a formal communication language is proposed as a common solution to these problems. This proposal is examined in the context of the EDI problem, in order to demonstrate how the proposal might work in practice. Practical benefits of the proposal are discussed that highlight the impact such a technology might have on business practices. The proposed solution is measured against the plausibility conditions presented earlier in the paper; it is found to be sufficient in some cases and in need of further investigation in others. We then discuss the industrial-organizational implications of the availability of such a technology, and hypothesize that it would affect the number and form of cooperative business relationships as well as their scope and depth. We also hypothesize that it would provide advantages to those firms that quickly adopt the technology

Learning the Designer's Preferences to Drive Evolution

This paper presents the Designer Preference Model, a data-driven solution that pursues to learn from user generated data in a Quality-Diversity Mixed-Initiative Co-Creativity (QD MI-CC) tool, with the aims of modelling the user's design style to better assess the tool's procedurally generated content with respect to that user's preferences. Through this approach, we aim for increasing the user's agency over the generated content in a way that neither stalls the user-tool reciprocal stimuli loop nor fatigues the user with periodical suggestion handpicking. We describe the details of this novel solution, as well as its implementation in the MI-CC tool the Evolutionary Dungeon Designer. We present and discuss our findings out of the initial tests carried out, spotting the open challenges for this combined line of research that integrates MI-CC with Procedural Content Generation through Machine Learning.Comment: 16 pages, Accepted and to appear in proceedings of the 23rd European Conference on the Applications of Evolutionary and bio-inspired Computation, EvoApplications 202

Applying Well-being Assessment for Service Design

Service design is transformative when it has a measurable, even optimizing, positive affect on human well-being. Any prospect for such felicitous outcomes, however, requires accurate assessment or measurement of well-being in and for target populations. Such assessment raises two immediate issues: conceptualization (How should well-being be conceptually operationalized?) and measurement (Given an operationalization of well-being, how can it be measured?). We begin to explore and address both questions in this paper by reviewing existing conceptualizations of well-being and then by describing the relevance of well-being measurement (and it methodologies) which are presently available

Crossing the Line: Evidence for the Categorization Theory of Spatial Voting

Bølstad and Dinas (2017) propose a model of spatial voting, based on social identity theory, that suggests supporting a candidate/policy on the other side of the ideological spectrum has a disutility that is not accounted for by common spatial models. Unfortunately, the data they use cannot speak directly to whether the disutility arises because individuals perceive their ideology as a social identity. We present the results of an experimental study that measures the norm against crossing the ideological spectrum; tests the cost of doing so, controlling for spatial effects; and demonstrates that this cost increases with the salience and strength of identity norms. By demonstrating the norm mechanism for the disutility of crossing the ideological spectrum, we provide strong support for B&D\u27s model