An Application of System Health Management Theory for a Simple Sun Pointed Space Vehicle

2012 ◽  
Author(s):  
Kyle Fox ◽  
Laurie Thiel
Author(s):  
Vestina Vainauskienė ◽  
Rimgailė Vaitkienė

The non-development of the concept of patient knowledge empowerment for disease self-management and the non-development of the theory of patient knowledge empowerment in patients with chronic diseases, cause methodological inconsistency of patient empowerment theory and does not provide a methodological basis to present patient knowledge empowerment preconditions. Therefore, the aim of the present integrative review was to synthesize and critically analyze the patient knowledge enablers distinguished in the public health management theory, the knowledge sharing enablers presented in the knowledge management theory and to integrate them by providing a comprehensive framework of patient knowledge enablers. To implement the purpose of the study, in answering the study question of what patient knowledge empowerments are and across which levels of patient knowledge empowerment they operate, an integrative review approach was applied as proposed by Cronin and George. A screening process resulted in a final sample of 78 papers published in open access, peer-review journals in the fields of public health management and knowledge management theories. Based on the results of the study, the Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease Framework was created. It revealed that it is important to look at patient knowledge empowerment as a pathway across the empowerment levels through which both knowledge enablers identified in public health management theory and knowledge sharing enablers singled out in knowledge management theory operate. The integration of these two perspectives across patient empowerment levels uncovers a holistic framework for patient knowledge empowerment.


2007 ◽  
Vol 347 ◽  
pp. 57-66 ◽  
Author(s):  
Alexander Tessler

Two finite-element-based, full-field computational methods and algorithms for use in Structural Health Management (SHM) systems are reviewed. Their versatility, robustness, and computational efficiency make them well suited for real-time, large-scale space vehicle, structures, and habitat applications. The methods may be effectively employed to enable real-time processing of sensing information, specifically for identifying three-dimensional deformed structural shapes as well as the internal loads. In addition, they may be used in conjunction with evolutionary algorithms to design optimally distributed sensors. These computational tools have demonstrated substantial promise for utilization in future SHM systems.


2018 ◽  
Vol 11 (2) ◽  
pp. 4-5
Author(s):  
David Briggs

In recent years much has been made of the need to effectively translate knowledge developed through research into health systems practice. [1] Literature suggests that the acceptance of research findings would be more likely if the research were achieved and disseminated into practice where it occurs in a more collaborative alignment of researchers and practitioners.....


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