An approach for the advanced planning of a reliability demonstration test based on a Bayes procedure

Author(s):  
A. Krolo ◽  
B. Bertsche
2017 ◽  
Vol 2017 (9) ◽  
pp. 3681-3691
Author(s):  
Jackie Veilleux ◽  
Remi Adedapo ◽  
Michelle Paetkau ◽  
Robert Cuthbertson-Black ◽  
Ralph “Rusty” Schroedel ◽  
...  

2016 ◽  
Vol 33 (10) ◽  
pp. 972-976 ◽  
Author(s):  
Sadie P. Hutson

Little is known about the health access and end-of-life (EOL) concerns of persons living with HIV/AIDS (PLWHA) in Appalachia, where religious and cultural values are largely traditional. A qualitative, descriptive study with 9 participants was undertaken to assess EOL care needs among those from South Central Appalachian PLWHA. The focus of the study was to examine subjective data regarding EOL needs assessment related to advanced care planning. Five men and 4 women self-acknowledged a diagnosis of HIV/AIDS and completed a 2-hour face-to-face interview with the nurse researcher. Data were analyzed using qualitative descriptive content analysis methods, including data coding for emergent themes and metaphors. A common metaphor tied content to both struggle and triumph as well as the beauty and ruggedness of the Appalachian region: “Climbing Back up the Mountain.” Rich descriptions of the significance of the metaphor match with stigma as the greatest hurdle to overcome in planning and interacting with others, including health care providers and significant others, about EOL care needs and advanced planning preferences. Further, the metaphor was derived directly from quotes offered by participants. Sources of stigma were often intersecting: the disease itself, associations with “promiscuity,” sexual minority status, illicit drug use, and so on. Strong spiritual images were contrasted with a common avoidance and disdain of organized religion. Findings were used in refining plans for a larger study of EOL care needs and concerns on the population of PLWHA in 2 Southern Appalachian states. Comparison with other research and insights for providers is included.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rujia Bi ◽  
Yan Jiao ◽  
Joan A. Browder

AbstractBycatch in fisheries is a major threat to many seabird species. Understanding and predicting spatiotemporal changes in seabird bycatch from fisheries might be the key to mitigation. Inter-annual spatiotemporal patterns are evident in seabird bycatch of the U.S. Atlantic pelagic longline fishery monitored by the National Marine Fisheries Service Pelagic Observer Program (POP) since 1992. A newly developed fast computing Bayesian approximation method provided the opportunity to use POP data to understand spatiotemporal patterns, including temporal changes in location of seabird bycatch hotspots. A Bayesian model was developed to capture the inherent spatiotemporal structure in seabird bycatch and reduce the bias caused by physical barriers such as coastlines. The model was applied to the logbook data to estimate seabird bycatch for each longline set, and the mid-Atlantic bight and northeast coast were the fishing areas with the highest fleet bycatch estimate. Inter-annual changes in predicted bycatch hotspots were correlated with Gulf Stream meanders, suggesting that predictable patterns in Gulf Stream meanders could enable advanced planning of fishing fleet schedules and areas of operation. The greater the Gulf Stream North Wall index, the more northerly the seabird bycatch hotspot two years later. A simulation study suggested that switching fishing fleets from the hindcasted actual bycatch hotspot to neighboring areas and/or different periods could be an efficient strategy to decrease seabird bycatch while largely maintaining fishers’ benefit.


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