Global ETD Search

421	Development of Cell Penetrating Bax Inhibiting Peptides (BIP) Gomez, Jose A. 23 January 2010 (has links) No description available. Biomedical Research Cellular Biology Pharmacology R2) Cytosolic IFN&947 R2 antiapoptotic protein Bcl-2 family of proteins Interferon gamma (IFN&947 ) Cell Penetrating Pepta-Peptides (CPP5)
422	Better imaging for landmine detection : an exploration of 3D full-wave inversion for ground-penetrating radar Watson, Francis Maurice January 2016 (has links) Humanitarian clearance of minefields is most often carried out by hand, conventionally using a a metal detector and a probe. Detection is a very slow process, as every piece of detected metal must treated as if it were a landmine and carefully probed and excavated, while many of them are not. The process can be safely sped up by use of Ground-Penetrating Radar (GPR) to image the subsurface, to verify metal detection results and safely ignore any objects which could not possibly be a landmine. In this thesis, we explore the possibility of using Full Wave Inversion (FWI) to improve GPR imaging for landmine detection. Posing the imaging task as FWI means solving the large-scale, non-linear and ill-posed optimisation problem of determining the physical parameters of the subsurface (such as electrical permittivity) which would best reproduce the data. This thesis begins by giving an overview of all the mathematical and implementational aspects of FWI, so as to provide an informative text for both mathematicians (perhaps already familiar with other inverse problems) wanting to contribute to the mine detection problem, as well as a wider engineering audience (perhaps already working on GPR or mine detection) interested in the mathematical study of inverse problems and FWI.We present the first numerical 3D FWI results for GPR, and consider only surface measurements from small-scale arrays as these are suitable for our application. The FWI problem requires an accurate forward model to simulate GPR data, for which we use a hybrid finite-element boundary-integral solver utilising first order curl-conforming N\'d\'{e}lec (edge) elements. We present a novel `line search' type algorithm which prioritises inversion of some target parameters in a region of interest (ROI), with the update outside of the area defined implicitly as a function of the target parameters. This is particularly applicable to the mine detection problem, in which we wish to know more about some detected metallic objects, but are not interested in the surrounding medium. We may need to resolve the surrounding area though, in order to account for the target being obscured and multiple scattering in a highly cluttered subsurface. We focus particularly on spatial sensitivity of the inverse problem, using both a singular value decomposition to analyse the Jacobian matrix, as well as an asymptotic expansion involving polarization tensors describing the perturbation of electric field due to small objects. The latter allows us to extend the current theory of sensitivity in for acoustic FWI, based on the Born approximation, to better understand how polarization plays a role in the 3D electromagnetic inverse problem. Based on this asymptotic approximation, we derive a novel approximation to the diagonals of the Hessian matrix which can be used to pre-condition the GPR FWI problem. 621.384
423	Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds Roy, Samapriya 12 March 2014 (has links) Indiana University-Purdue University Indianapolis (IUPUI) / The primary objective of this research involves mapping out and validating the existence of sub surface drainage tiles in a given cropland using Remote Sensing and GIS methodologies. The process is dependent on soil edge differentiation found in lighter versus darker IR reflectance values from tiled vs. untiled soils patches. Data is collected from various sources and a primary classifier is created using secondary field variables such as soil type, topography and land Use and land cover (LULC). The classifier mask reduces computational time and allows application of various filtering algorithms for detection of edges. The filtered image allows an efficient feature recognition platform allowing the tile drains to be better identified. User defined methods and natural vision based methodologies are also developed or adopted as novel techniques for edge detection. The generated results are validated with field data sets which were established using Ground Penetration Radar (GPR) studies. Overlay efficiency is calculated for each methodology along with omission and commission errors. This comparison yields adaptable and efficient edge detection techniques which can be used for similar areas allowing further development of the tile detection process. Remote Sensing, GIS Hydrology -- Data processing Drainage -- Research -- Analysis Ground penetrating radar Ecohydrology Orthophotomaps Landforms -- Measurement Vector analysis Spatial analysis (Statistics) Remote sensing -- Data processing Image processing -- Maps
424	Development and Validation of Novel Polymer-based DNA Delivery Systems for Effective and Affordable Non-viral Gene Therapies Zhang, Jun 23 May 2022 (has links) No description available. Animal Diseases Biochemistry Biology Biomedical Engineering Biomedical Research Cellular Biology Developmental Biology Engineering Environmental Health Health Health Sciences Immunology Materials Science Medicine Molecular Biology Molecules Nanoscience Nanotechnology Neurobiology Neurology Neurosciences Organic Chemistry Pharmaceuticals Pharmacy Sciences Polymer Chemistry Polymers Public Health Toxicology Therapy Virology gene therapy gene delivery DNA delivery polymer non-viral nonviral therapeutic polyethylenimine PEI in vitro in vivo C2C12 muscle muscular M17 neuro neural brain transfection cell penetrating peptide neurodegenerative Alzheimer Parkinson prion PrP N1 C1 amyloid-β Aβ Tau α-synuclein αSyn α-cleavage ADAM8 pscAAV

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