Contextual classification of multispectral image data: Approximate algorithm

An approximation to a classification algorithm incorporating spatial context information in a general, statistical manner is presented which is computationally less intensive. Classifications that are nearly as accurate are produced

Marine resources and ocean surveys

Application of ERTS-1 remotely sensed multispectral imagery to marine resources and oceanic observations and surveys - Conferenc

Non-acute Care Clinical for BSN Students Chronic Illness Care and Diabetes Self-management Support

Baccalaureate nursing (BSN) programs work toward ensuring that curricula are current and relevant for the existing and evolving health care environment, health and illness trends, and care delivery systems. To this end this Systems Change Project (SCP) addresses an identified curricular gap between the traditional clinical experience of BSN students related to care of individuals with chronic illness and the predominant environment in which chronic illness care occurs. A non-acute care clinical experience was integrated into the junior year adult and chronicity clinical course of the Bethel University nursing program. The clinical experience was delivered through virtual simulation and focused on the registered nurse (RN) role in chronic illness self-management support with an emphasis on diabetes. Confirmation of the need for this and motivation to implement this SCP was provided through The future of nursing: Leading change, advancing health (IOM, 2011) coupled with the lack of documentation in the literature regarding of this type of learning experience in BSN programs. The SCP was supported through a dual theoretical framework of adult learning theory and adaption theory while being further bolstered by standards of care in self-management support and simulation development. Project evaluation data reveal the effectiveness of the simulation and provide recommendations for future practice and scholarship

Contextual classification of multispectral image data

There are no author-identified significant results in this report

Results of Recent Geological Work in Madison County

It is intended in this paper to state briefly some of the geological features of Madison County as observed during the past summer. For a more detailed description, reference may be made to the complete report in the next volume of the \u27\u27Iowa Geological Survey