40 research outputs found
2013-2014, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2013-2014.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1434/thumbnail.jp
2014-2015, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2014-2015.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1433/thumbnail.jp
Plasma in Cancer Treatment
In the last decade, research on cold atmospheric plasma (CAP) has significantly advanced our understanding of the effect of CAP on cancer cells and their potential for cancer treatment. This effect is due to the reactive oxygen and nitrogen species (RONS) created by plasma. This has been demonstrated for different cancer cell lines and the first clinical trials showed promising results. In addition, plasma could be combined with other treatmentsâsuch as immunotherapyâto boost its anticancer activity. The addition of new research tools to study the response of cancer cells to CAPâsuch as 3D in vitro, in ovo, and in vivo models and in silico approachesâas well as the use of -OMICS technologies could aid in unravelling the underlying mechanisms of CAP in cancer treatment. In order to progress towards widespread clinical application of CAP, an integrated study of the multidimensional effect of CAP in cancer treatment is essential. In this book, reviews and original research papers are published that provide new insights into the mechanisms of cold atmospheric plasma in cancer treatment, based on in vitro and in vivo experiments, clinical studies, as well as computer modeling
2011-2012, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2011-2012.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1431/thumbnail.jp
Advanced Magnetic Nanocomposites
This book is a collection of research articles and review articles, which was published in the Special Issue "Advanced Magnetic Nanocomposites: Structural, Physical Properties and Application". This book ââAdvanced Magnetic Nanocomposites: Structural, Physical Properties and Applicationââ discussed recent development on advanced magnetic nanoparticles and nanocomposites with detailed explanation of structural and physical characteristics, and further possible potential application
Biointerface Coatings for Biomaterials and Biomedical Applications
This succinct reprint provides students and researchers the latest studies to the world of surface coatings in biomedical applications. This eBook contains one editorial, one review paper, and 10 research papers. The technology covers vapor phase coating, wet chemistry coating, and plasma spray. The research areas focus on antifouling, anti-corrosion, and tissue engineering. This specific and accessible reprint is the ideal example of surface coatings for students in bioengineering and materials science
2012-2013, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2012-2013.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1432/thumbnail.jp
A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium
When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its Ï parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available
A Statistical Approach to the Alignment of fMRI Data
Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, so the image alignment is necessary. We define a probabilistic model to describe functional alignment. Imposing a prior distribution, as the matrix Fisher Von Mises distribution, of the orthogonal transformation parameter, the anatomical information is embedded in the estimation of the parameters, i.e., penalizing the combination of spatially distant voxels. Real applications show an improvement in the classification and interpretability of the results compared to various functional alignment methods