Validation of a Contour Method Single-Measurement Uncertainty Estimator

This work validates an analytical single-measurement uncertainty estimator for contour method measurement by comparing it with a first-order uncertainty estimate provided by a repeatability study. The validation was performed on five different specimen types. The specimen types cover a range of geometries, materials, and stress conditions that represent typical structural applications. The specimen types include: an aluminum T-section, a stainless steel plate with a dissimilar metal slot-filled weld, a stainless steel forging, a titanium plate with an electron beam slot-filled weld, and a nickel disk forging. For each specimen, the residual stress was measured using the contour method on replicate specimens to assess measurement precision. The uncertainty associated with each contour method measurement was also calculated using a recently published single-measurement uncertainty estimator. Comparisons were then made between the estimated uncertainty and the demonstrated measurement precision. These results show that the single-measurement analytical uncertainty estimate has good correlation with the demonstrated repeatability. The spatial distributions of estimated uncertainty were found to be similar among the conditions evaluated, with the uncertainty relatively constant in the interior and larger along the boundaries of the measurement plane

An Uncertainty Estimator for Slitting Method Residual Stress Measurements Including the Influence of Regularization

This paper describes the development of a new uncertainty estimator for slitting method residual stress measurements. The new uncertainty estimator accounts for uncertainty in the regularization-based smoothing included in the residual stress calculation procedure, which is called regularization uncertainty. The work describes a means to quantify regularization uncertainty and then, in the context of a numerical experiment, compares estimated uncertainty to known errors. The paper further compares a first-order uncertainty estimate, established by a repeatability experiment, to the new uncertainty estimator and finds good correlation between the two estimates of precision. Furthermore, the work establishes a procedure for automated determination of the regularization parameter value that minimizes total uncertainty. In summary, the work shows that uncertainty in the regularization parameter is a significant contributor to the total uncertainty in slitting method measurements and that the new uncertainty estimator provides a reasonable estimate of single measurement uncertainty

How the “Cop Killer” disappeared: how genre deviation influences uptake in censorship AND Seeing through Panopticon: Lunn’s nature alternative to black metal’s social nihilism

By analyzing the song “Cop Killer” by Ice-T’s heavy metal band Body Count, I explain how genre deviation influences uptake and can leads to less desirable forms of uptake, specifically censorship. AND By exposing panoptic terministic screens, Austin Lunn uses his black metal musical project, Panopticon, to suggest a nature alternative to the control and currency associated with American Christianity and capitalism

Some of my Favorite Things: OpenRefine and BrowZine [slides]

Slides from a presentation on OpenRefine and BrowZine use in libraries. Delivered at the 2015 North Carolina Library Association Biennial Conference in Greensboro, NC

GOKb collaborations: Enhancing knowledge base data through crowdsourcing [slides]

Slides from a presentation on using Global Open Knowledge Base (GOKb) as a compliment to OCLC’s service for managing e-resources for libraries. Delivered April 5, 2016 at the Electronic Resources and Libraries Conference in Austin, TX

In Search of Useful Collection Metadata: Using OpenRefine to Create Accurate, Complete, and Clean Title-level Collection Information

University of North Carolina at Greensboro (UNCG), like many libraries, recently migrated to a new knowledgebase and integrated library system (ILS) and found they had to clean up a great deal of messy serial title list data. In their search for solutions, they discovered the free, open source tool OpenRefine, a software program specifically designed for data normalization, transformation, and cleaning. This article describes the steps that UNCG used to take a publisher's title list file and transform it into a file format usable by their ILS. In doing so, this article will discuss major types of functionality in OpenRefine: downloading the software, importing data correctly, using the interface, transforming data on a column and cell level, exploring and normalizing data, and exporting files out of OpenRefine. At the end of this article, the readers should understand how to use OpenRefine on a basic level and be able to begin to use it on their own data

In search of useful collection metadata: Using OpenRefine to create accurate, complete and clean title-level collection information [slides]

Slides from a presentation on how to utilize OpenRefine to clean up metadata for electronic resources. Delivered March 21, 2016 at the North Carolina Serials Conference in Chapel Hill, NC

Examination of the biobehavioral effects of food insecurity by investigating its relationship to changes in the household food supply and food reward sensitivity

Research has found a paradoxical relationship between food insecurity and increased obesity, which disproportionately affects low-income women. The relationship between food insecurity and obesity is mediated by diet quality where food insecurity has a negative effect on overall diet quality, promoting excess energy intake and subsequent weight gain. Some research indicates that there may also be intra-monthly changes in diet quality and food availability among women in food insecurity. Thus, the goal of this research was to understand the extent by which the availability of a variety of foods, a critical component of food insecurity, occurs at the household level and how it affects dietary intake patterns and liking for palatable foods. The objectives were to: 1) examine associations between food insecurity and monthly changes in variety of food available at the household level, 2) examine associations between food insecurity and changes in diet quality at a monthly level, 3) determine associations between food insecurity and food reward sensitivity using self-reported and brain fMRI scan assessments. A cross-sectional exploratory research study of 13 low-income adult women was conducted to address these objectives. Participants completed two telephone interviews and two brain Magnetic Resonance Imaging (MRI) scans in the beginning and end of month periods based on their typical monthly income cycles. Food insecurity was prevalent among participants (69%). Participants reported a low variety of fresh fruits and vegetables at both interviews, and the variety of these declined from the beginning to the end of month period. Overall diet quality was poor among participants, with an average HEI-2015 score of 45.2 in the beginning of the month and 50.8 in the end of the month compared to the maximum possible score of 100. Analysis of functional MRI (fMRI) results demonstrated the feasibility of using functional neuroimaging techniques to evaluate individual differences in brain activation for palatable and healthy food images among participants. These findings suggest low-income women experience intra-monthly changes in variety of food available in the household and individual diet quality. And, investigations of intra-monthly changes in the home food environment, diet quality, and fMRI activation for visual food stimuli are important for understanding the relationship between food insecurity and obesity among low-income women. This work contributes to a greater understanding of the biobehavioral effects of food insecurity, which influence dietary intake and ultimately nutrition related health outcomes in those experiencing food insecurity

Marketing Electronic Resources at University of North Carolina at Greensboro [slides]

Slides from a presentation on how to improve marketing strategies for library electronic resources. Delivered October 18, 2017 at the North Carolina Library Association Biennial Conference in Winston-Salem, NC