This paper reviews recent advances in non-invasive blood pressure monitoring and highlights the added value of a novel algorithm-based blood pressure sensor which uses machine-learning techniques to extract blood pressure values from the shape of the pulse waveform. We report results from preliminary studies on a range of patient populations and discuss the accuracy and limitations of this capacitive-based technology and its potential application in hospitals and communities.

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This paper addresses limitations of community-based resource management by examining Korean fishing communities making the transition into tourism. It challenges local-centered views of resource management implemented through a homogeneous, cooperative, and self-reliant community. Local communities more often than not consist of diverse groups, demonstrate internal political dynamics, and need external resources in times of crisis. Utilizing three case studies of depressed Korean fishing communities, the author emphasizes the significance of external linkages, and concludes that existing community-based resource management is not adequate to the task of transition.