Few data exist about perceptions regarding the etiology of foodborne illness. Among public health staff throughout Tennessee, the three pathogens most commonly believed to cause foodborne illness in the United States actually account for only 12 % of disease. Fewer than 3 % of respondents correctly identified the leading cause of foodborne illness. In the United States, foodborne infections cause approximately 76 million illnesses each year, accounting for 325,000 hospitalizations and 5,000 deaths (1). Foodborne illness has been estimated to cost as much as $23 billion annually in this country (2). The consequences of such illness can range from transient discomfort to meningitis, congenital malformation, and death (3). Changes in eating habits and food preparation behaviors, globalization of the food supply, aging of the population, and other risk factors may be leading to increasing rates of illness (4,5). Public health and infection control personnel are frequently involved in the identification, investigation, and intervention of foodborne illness outbreaks. In 68 % of reported foodborne outbreaks in the United States, the pathogenic cause is not identified (6). An understanding of likely etiology is important for ensuring appropriate management of illness. There are few published data on the knowledge or perceptions of public health personnel regarding the common causes of foodborne disease.

This paper is intended to serve as a comprehensive introduction to the emerging field concerned with the design and use of ontologies. We observe that disparate backgrounds, languages, tools, and techniques are a major barrier to effective communication among people, organisations, and/or software

Abstract This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration

. With this algorithm, fairing very large surfaces, such as those obtained from volumetric medical data, becomes affordable. By combining this algorithm with surface subdivision methods we obtain a very effective fair surface design technique. We then extend the analysis, and modify the algorithm accordingly

architecture. In order to identify those aspects of the Web that needed improvement and avoid undesirable modifications, a model for the modern Web architecture was needed to guide its design, definition, and deployment. Software architecture research investigates methods for determining how best to partition

Learning general functional dependencies between arbitrary input and output spaces is one of the key challenges in computational intelligence. While recent progress in machine learning has mainly focused on designing flexible and powerful input representations, this paper addresses

We propose a method of constructing concurrent programs in which the synchroni-zation skeleton of the program ~s automatically synthesized from a high-level (branching time) Temporal Logic specification. The synchronization skeleton is an abstraction of the actual program where detail irrelevant

Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass classification is still an ongoing research issue. Several methods have been proposed where typically we construct a multiclass classifier by combining several binary

and include compression, regularization in inverse problems, feature extraction, and more. Recent activity in this field has concentrated mainly on the study of pursuit algorithms that decompose signals with respect to a given dictionary. Designing dictionaries to better fit the above model can be done

The present investigation designs a systematic method for finding the latent roots and the principal axes of a matrix, without reducing the order of the matrix. It is characterized by a wide field of applicability and great accuracy, since the accumulation of rounding errors is avoided, through