BACKGROUND: Despite advocacy being a crucial role for nurses, its scope is often limited in clinical practice. Although numerous studies have identified barriers to patient advocacy, their recommendations for resolution were unclear.
METHOD: The study employed a constructivist grounded theory methodology, with 13 Saudi Arabian registered nurses, working in critical care, in a tertiary academic teaching hospital. Semi-structured interviews, with broad open-ended questions, and reflective participant journals were used to collect data. All interviews were concurrently analysed and transcribed verbatim.
RESULTS: Gender, culture, education, subjugation, communal patronage, organisational support and repercussions, and role-associated risks were all revealed as factors affecting their ability to act as advocates for critically ill patients.
CONCLUSION: Saudi Arabian ICU nurses in the study believed that advocacy is problematic. Despite attempting to advocate for their patients, they are unable to act to an optimal level, instead choosing avoidance of the potential risks associated with the role, or confrontation, which often had undesirable outcomes. Patient advocacy from a Saudi Arabian nursing perspective is contextually complex, controversial and remains uncertain. Further research is needed to ensure patient safety is supported by nurses as effective advocates.
METHODS: This paper introduces a biological inspired fuzzy adaptive window median filter (FAWMF) which computes the fuzzy membership strength of nucleotides in each slide of window and filters nucleotides based on median filtering with a combination of s-shaped and z-shaped filters. Since coding regions cause 3-base periodicity by an unbalanced nucleotides' distribution producing a relatively high bias for nucleotides' usage, such fundamental characteristic of nucleotides has been exploited in FAWMF to suppress the signal noise.
RESULTS: Along with adaptive response of FAWMF, a strong correlation between median nucleotides and the Π shaped filter was observed which produced enhanced discrimination between coding and non-coding regions contrary to fixed length conventional window filters. The proposed FAWMF attains a significant enhancement in coding regions identification i.e. 40% to 125% as compared to other conventional window filters tested over more than 250 benchmarked and randomly taken DNA datasets of different organisms.
CONCLUSION: This study proves that conventional fixed length window filters applied to DNA signals do not achieve significant results since the nucleotides carry genetic code context. The proposed FAWMF algorithm is adaptive and outperforms significantly to process DNA signal contents. The algorithm applied to variety of DNA datasets produced noteworthy discrimination between coding and non-coding regions contrary to fixed window length conventional filters.