The controlled delivery of hydrogen sulfide for the preservation of heart tissue

Gemstone Team Organ Storage and Hibernation

Preservation in a growing city: a consideration of conservation districts for Washington, D.C. neighborhoods

Master final project submitted to the faculty of the Historic Preservation Program of the School of Architecture, Planning, and Preservation of the University of Maryland, College Park, in partial fulfillment of the requirements for the degree of Master of Historic Preservation, 2013.

Preservation through Access: Minimal Processing at the Heinz History Center

Presentation from the MARAC conference in Roanoke, VA on October 7–10, 2015. S8 - Minimal Processing and Preservation: Friends or Foes?

Preservation Selection at Special Collections in Performing Arts

Presented to the Preservation Section, Society of American Archivists, 2016 Annual Conference, Atlanta, Georgia.

Breaking through the Margins: Pushing Sociopolitical Boundaries Through Historic Preservation

“Breaking through the Margins: Pushing Sociopolitical Boundaries Through Historic Preservation” explores the ways in which contemporary grassroots organizations are adapting historic preservation methods to protect African American heritage in communities that are on the brink of erasure. This project emerges from an eighteen-month longitudinal study of three African American preservation organizations—one in College Park, Maryland and two in Houston, Texas—where gentrification or suburban sprawl has all but decimated the physical landscape of their communities. Grassroots preservationists in Lakeland (College Park, Maryland), St. John Baptist Church (Missouri City, Texas), and Freedmen’s Town (Houston, Texas) are involved in pushing back against preservation practices that do not, or tend not, to take into consideration the narratives of African American communities. I argue, these organizations practice a form of preservation that provides immediate and lasting effects for communities hovering at the margins. This dissertation seeks to outline some of the major methodological approaches taken by Lakeland, St. John, and Freedmen’s Town. The preservation efforts put forth by the grassroots organizations in these communities faithfully work to remind us that history without preservation is lost. In taking on the critical work of pursuing social justice, these grassroots organizations are breaking through the margins of society using historic preservation as their medium.

Texture-Detail Preservation Measurement in Camera Phones: An Updated Approach

Recent advances in mobile phone cameras have poised them to take over compact hand-held cameras as the consumer’s preferred camera option. Along with advances in the number of pixels, motion blur removal, face-tracking, and noise reduction algorithms have significant roles in the internal processing of the devices. An undesired effect of severe noise reduction is the loss of texture (i.e. low-contrast fine details) of the original scene. Current established methods for resolution measurement fail to accurately portray the texture loss incurred in a camera system. The development of an accurate objective method to identify the texture preservation or texture reproduction capability of a camera device is important in this regard. The ‘Dead Leaves’ target has been used extensively as a method to measure the modulation transfer function (MTF) of cameras that employ highly non-linear noise-reduction methods. This stochastic model consists of a series of overlapping circles with radii r distributed as r−3, and having uniformly distributed gray level, which gives an accurate model of occlusion in a natural setting and hence mimics a natural scene. This target can be used to model the texture transfer through a camera system when a natural scene is captured. In the first part of our study we identify various factors that affect the MTF measured using the ‘Dead Leaves’ chart. These include variations in illumination, distance, exposure time and ISO sensitivity among others. We discuss the main differences of this method with the existing resolution measurement techniques and identify the advantages. In the second part of this study, we propose an improvement to the current texture MTF measurement algorithm. High frequency residual noise in the processed image contains the same frequency content as fine texture detail, and is sometimes reported as such, thereby leading to inaccurate results. A wavelet thresholding based denoising technique is utilized for modeling the noise present in the final captured image. This updated noise model is then used for calculating an accurate texture MTF. We present comparative results for both algorithms under various image capture conditions.