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Occupational hazards for dairy plant workers include contact with bioaerosols emitted during the production process, contact with raw milk, or with animals in the case of small home-based milk processing plants. Dairy plant workers can be exposed to biological agents, such as bacteria, fungi and viruses, which are responsible for various diseases and adverse health outcomes. Therefore, reliable risk assessment and appropriate preventive measures are key to occupational hazard prevention among this group of workers.

Knowledge management has recently received considerable attention in the computer information systems community and is continuously gaining interest from industry, enterprises and government. As we move towards building knowledge organizations, knowledge management in combination with information management will play a fundamental role towards the success of transforming individual knowledge into organizational knowledge. In this framework, this paper discusses the key concepts of human-computer interaction in knowledge management, identifies new challenges of knowledge management for Web-based business and proposes a ""user agent architecture"" for knowledge management in e-learning environments. User agents use artificial neural network technology and can be used in various e-learning or e-training environments, in order to provide them with means of managing information stored, filtering content and enabling better knowledge adoption on behalf of their users.

The article of record as published may be located at http://dx.doi.org/10.1002/sys.21216 ; Prior to deploying human-robot teams on military missions, system designers need to understand how design decisions affect team performance. This paper describes a multiagent simulation model that captures both team coordination and human-robot interaction. The purpose of the model is to evaluate proposed team designs in uncertain Military Operations in Urban Terrain (MOUT) scenarios and determine which design factors are most critical to team performance. The simulation model is intended to be a tool in the systems engineering iterations of proposing designs, testing them, and then evaluating them during the conceptual design phase. To illustrate the model's usefulness for this purpose, a fractional factorial design of experiments is conducted to evaluate team design factors and the two-factor interaction between controllable factors and noise factors that described the environment and robot reliability. The experimental results suggest that (1) larger teams have more robust performance over the noise factors, (2) robot reliability is critical to the formation of human-robot teams, and (3) high centralization of decision-making authority created communication bottlenecks at the commander in large teams. This work contributes to the agent-based modeling of teams, and to understanding how the U.S. Army can attain its goal of greater utilization of robots in future military operations. ; Contract grant sponsor: U.S. Army Research Laboratory through the University of Central Florida and was accomplished under Cooperative Agreement Number W911NF-06-2-0041.