Aspirational Eating: Class anxiety and the Rise of Food in Popular Culture

This dissertation focuses on four pillars in the popular discourse about food 1) sophistication, 2) thinness, 3) purity, and 4) cosmopolitanism. The collective emergence of these four pillars in mainstream U.S. culture in the 1980s has been called the American “food revolution.” The prevailing explanation for the food revolution is a progressive narrative I refer to as the “culinary enlightenment thesis.” According to that thesis, the four pillars represent a unified gestalt that resulted from the inevitable forward march of progress in agricultural technologies, nutritional science, global trade, and liberal multiculturalism. I show that the four pillars are neither a unified gestalt nor a new phenomenon. Instead, they represent conflicting and competing ideals that were also mainstream preoccupations between 1880 and 1920. At the turn of the twentieth century, gourmet cooking, slimming diets, natural and “Pure Foods,” and international cuisines first became popular in the U.S. primarily among urban middle-class women, who served as national taste leaders. Furthermore, I analyze how recent mass media discourses and texts, including representations of President Obama, the Grey Poupon Rolls Royce advertising campaign, NBC's hit reality series “The Biggest Loser,” and critically-acclaimed films like Ratatouille (Pixar 2007) Sideways (Fox Searchlight 2004) construct, negotiate with, and reinforce the four pillars of “enlightened” eating. My central argument is that rather than representing a true enlightenment, the food revolution serves as a compensatory form of class mobility for the American middle class during periods of income stagnation and high inequality. Food has been used to define social classes since the emergence of capitalism, but aspirational eating, or the use of food as a means of performing and embodying the “good life” is a quintessentially middle-class practice that emerged in Anglo-American culture in the eighteenth century. Its changing manifestations reflect the shifting nature of middle-class status anxieties. Since the 1980s, as middle class has struggled to maintain their material advantages over the lower classes, the cultural capital represented by food has become a central technology of creating class distinctions and one of the primary ways that many Americans have of aspiring to the “good life.”Ph.D.American CultureUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/86292/4/smargot_1.pd

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

Few-shot relation classification seeks to classify incoming query instances after meeting only few support instances. This ability is gained by training with large amount of in-domain annotated data. In this paper, we tackle an even harder problem by further limiting the amount of data available at training time. We propose a few-shot learning framework for relation classification, which is particularly powerful when the training data is very small. In this framework, models not only strive to classify query instances, but also seek underlying knowledge about the support instances to obtain better instance representations. The framework also includes a method for aggregating cross-domain knowledge into models by open-source task enrichment. Additionally, we construct a brand new dataset: the TinyRel-CM dataset, a few-shot relation classification dataset in health domain with purposely small training data and challenging relation classes. Experimental results demonstrate that our framework brings performance gains for most underlying classification models, outperforms the state-of-the-art results given small training data, and achieves competitive results with sufficiently large training data

Prospectus, September 3, 2003

https://spark.parkland.edu/prospectus_2003/1019/thumbnail.jp

University of Missouri- St. Louis Comprehensive School Safety Initiative (UMSL CSSI)

View the website for this project here: https://www.umsl.edu/ccj/research/cssi.htm

Detecting SARS-CoV-2 variants with SNP genotyping.

Tracking genetic variations from positive SARS-CoV-2 samples yields crucial information about the number of variants circulating in an outbreak and the possible lines of transmission but sequencing every positive SARS-CoV-2 sample would be prohibitively costly for population-scale test and trace operations. Genotyping is a rapid, high-throughput and low-cost alternative for screening positive SARS-CoV-2 samples in many settings. We have designed a SNP identification pipeline to identify genetic variation using sequenced SARS-CoV-2 samples. Our pipeline identifies a minimal marker panel that can define distinct genotypes. To evaluate the system, we developed a genotyping panel to detect variants-identified from SARS-CoV-2 sequences surveyed between March and May 2020 and tested this on 50 stored qRT-PCR positive SARS-CoV-2 clinical samples that had been collected across the South West of the UK in April 2020. The 50 samples split into 15 distinct genotypes and there was a 61.9% probability that any two randomly chosen samples from our set of 50 would have a distinct genotype. In a high throughput laboratory, qRT-PCR positive samples pooled into 384-well plates could be screened with a marker panel at a cost of < £1.50 per sample. Our results demonstrate the usefulness of a SNP genotyping panel to provide a rapid, cost-effective, and reliable way to monitor SARS-CoV-2 variants circulating in an outbreak. Our analysis pipeline is publicly available and will allow for marker panels to be updated periodically as viral genotypes arise or disappear from circulation

Detecting SARS-CoV-2 variants with SNP genotyping.

Tracking genetic variations from positive SARS-CoV-2 samples yields crucial information about the number of variants circulating in an outbreak and the possible lines of transmission but sequencing every positive SARS-CoV-2 sample would be prohibitively costly for population-scale test and trace operations. Genotyping is a rapid, high-throughput and low-cost alternative for screening positive SARS-CoV-2 samples in many settings. We have designed a SNP identification pipeline to identify genetic variation using sequenced SARS-CoV-2 samples. Our pipeline identifies a minimal marker panel that can define distinct genotypes. To evaluate the system, we developed a genotyping panel to detect variants-identified from SARS-CoV-2 sequences surveyed between March and May 2020 and tested this on 50 stored qRT-PCR positive SARS-CoV-2 clinical samples that had been collected across the South West of the UK in April 2020. The 50 samples split into 15 distinct genotypes and there was a 61.9% probability that any two randomly chosen samples from our set of 50 would have a distinct genotype. In a high throughput laboratory, qRT-PCR positive samples pooled into 384-well plates could be screened with a marker panel at a cost of < £1.50 per sample. Our results demonstrate the usefulness of a SNP genotyping panel to provide a rapid, cost-effective, and reliable way to monitor SARS-CoV-2 variants circulating in an outbreak. Our analysis pipeline is publicly available and will allow for marker panels to be updated periodically as viral genotypes arise or disappear from circulation

Impact of Surgical Timing on Neurological Outcomes for Spinal Arachnoid Cyst: A Single Institution Series

Objective Spinal arachnoid cysts (SACs) are rare lesions that often present with back pain and myelopathy. There is a paucity of literature evaluating the impact of surgical timing on neurological outcomes for primary SAC management. To compare long-term neurological outcomes in patients who were managed differently and to understand natural progression of SAC. Methods We conducted a retrospective analysis of adult patients treated for SAC at our institution from 2010 to 2021, stratified into 3 groups (conservative management only, surgical management, or conservative followed by surgical management). Study outcome measures were neurological outcomes as measured by modified McCormick Neurologic Scale (MNS), postoperative complications, and cyst recurrence. Nonparametric analysis was performed to evaluate differences between groups for selected endpoints. Results Thirty-six patients with SAC were identified. Eighteen patients were managed surgically. The remaining 18 patients were managed conservatively with outpatient serial imaging, 7 of whom (38.9%) ultimately underwent surgical treatment due to neurological decline. Most common presenting symptoms included back pain (50.0%), extremity weakness (36.1%), and numbness/paresthesia (36.1%). Initial/preoperative (p = 0.017) and 1-year postoperative (p = 0.006) MNS were significantly different between the 3 groups, but not at 6 weeks or 6 months postoperatively (p > 0.05). Additionally, at 1 year, there was no difference in MNS between patients managed surgically and those managed conservatively but ultimately underwent surgery (p > 0.99). Conclusion Delayed surgical intervention in minimally symptomatic patients does not seem to result in worse long-term neurofunctional outcomes. At 1 year, postoperative MNS were significantly higher in both surgical groups, when compared to the conservative group highlighting worsening clinical picture regardless of preoperative observational status

Neurologic Outcomes for Adult Spinal Cord Ependymomas Stratified by Tumor Location: A Retrospective Cohort Study and 2-Year Outlook

Determine whether craniocaudal spinal cord tumor location affects long-term neurologic outcomes in adults diagnosed with spinal ependymomas (SE). A retrospective cohort analysis of patients aged ≥ 18 years who underwent surgical resection for SE over a ten-year period was conducted. Tumor location was classified as cervical, thoracic, or lumbar/conus. Primary endpoints were post-operative McCormick Neurologic Scale (MNS) scores at \u3c 3 days, 6 weeks, 1 year, and 2 years. One-way ANOVA was performed to detect significant differences in MNS scores between tumor locations. Twenty-eight patients were identified. The average age was 44.2 ± 15.4 years. Sixteen were male, and 13 were female. There were 10 cervical-predominant SEs, 13 thoracic-predominant SEs, and 5 lumbar/conus-predominant SEs. No significant differences were observed in pre-operative MNS scores between tumor locations (p = 0.73). One-way ANOVA testing demonstrated statistically significant differences in post-operative MNS scores between tumor locations at \u3c 3 days (p = 0.03), 6 weeks (p = 0.009), and 1 year (p = 0.003); however, no significant difference was observed between post-operative MNS scores at 2 years (p = 0.13). The mean MNS score for patients with thoracic SEs were higher at all follow-up time points. Tumors arising in the thoracic SE are associated with worse post-operative neurologic outcomes in comparison to SEs arising in other spinal regions. This is likely multifactorial in etiology, owing to both anatomical differences including spinal cord volume as well as variations in tumor characteristics. No significant differences in 2-year MNS scores were observed, suggesting that patients ultimately recover from neurological insult sustained at the time of surgery