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- Member of: ASU Electronic Theses and Dissertations
- Member of: Artivate: A Journal of Entrepreneurship in the Arts
- Member of: Master of Healthcare Innovation Capstone Collection

Working toward changing the language and leadership of healthcare to improve patient responsibility and decrease preventable disease.

The value of the RNS4PTS website is to provide transparency by supplying information that those who work in the medical field have to those who do not.

Vision Statement: Our patients deserve the best continuity of care possible. With that said, our nurses should effectively communicate patient information with our physicians in order to ensure the best treatment for acute condition changes in order to prevent hospital readmissions.
This presentation explains the role of skilled nursing facilities in the reduction of hospital readmissions.

"In attempts to reduce nosocomial infections, the focus of PPE is shifted to include patient protection.
This innovation project will help lead the healthcare organization to better health deliver and better service because it will prevent transmission of nosocomial infections between patients via hospital staff. Patients with HAI’s tend to have a longer duration hospital stay as well as more costs. Likewise, current healthcare reform restricts reimbursements for treatments associated with nosocomial infections. By minimizing these costly infections, the healthcare organization will be able to realize a greater profit."


This study addresses the problem of particle image segmentation by measuring the similarity between a sampled region and an adjacent region, based on Bhattacharyya distance and an image feature extraction technique that uses distribution of local binary patterns and pattern contrasts. A boundary smoothing process is developed to improve the accuracy of the segmentation. The novel particle image segmentation algorithm is tested using four different cases of particle image velocimetry (PIV) images. The obtained experimental results of segmentations provide partitioning of the objects within 10 percent error rate. Ground-truth segmentation data, which are manually segmented image from each case, are used to calculate the error rate of the segmentations.

Here, this research extends that exploratory work in an effort to determine if hfg of aqueous nanofluids can be manipulated, i.e., increased or decreased, by the addition of graphite or silver nanoparticles. Our results to date indicate that hfg can be substantially impacted, by up to ± 30% depending on the type of nanoparticle. Moreover, this dissertation reports further experiments with changing surface area based on volume fraction (0.005% to 2%) and various nanoparticle sizes to investigate the mechanisms for hfg modification in aqueous graphite and silver nanofluids. This research also investigates thermophysical properties, i.e., density and surface tension in aqueous nanofluids to support the experimental results of hfg based on the Clausius - Clapeyron equation. This theoretical investigation agrees well with the experimental results. Furthermore, this research investigates the hfg change of aqueous nanofluids with nanoscale studies in terms of melting of silver nanoparticles and hydrophobic interactions of graphite nanofluid. As a result, the entropy change due to those mechanisms could be a main cause of the changes of hfg in silver and graphite nanofluids.
Finally, applying the latent heat results of graphite and silver nanofluids to an actual solar thermal system to identify enhanced performance with a Rankine cycle is suggested to show that the tunable latent heat of vaporization in nanofluilds could be beneficial for real-world solar thermal applications with improved efficiency.
