Lindsay Pettus- William Richardson Davie Research Papers - Accession 1656

This collection consists of material that documents the research interest of David Lindsay Pettus in the life, contributions, and continuing legacy of William Richardson Davie. Major General William Richardson Davie (1756-1820) was born in England settled in the Waxhaw region near Lancaster, SC as a boy. He would later serve in the Revolutionary War against the British and after the war rose to prominence as a lawyer. He would then serve in the North Carolina House of Common and as was elected as the 10th Governor of the state. He is also credited with the founding of the University of North Carolina. After he retired from public life, Davie moved to his estate (Tivoli) in Chester County, SC where he died in 1820. The collection includes correspondence, clippings, articles, copies of land grants, plats, photographs, postcards, wills, maps, and various legal documents that details Davie’s legacy.https://digitalcommons.winthrop.edu/manuscriptcollection_findingaids/2655/thumbnail.jp

Work in Progress: How Real is Student Engagement in using Virtual Laboratories

Laboratory classes are an integral part of engineering education, but they are resource intensive and can also impose significant logistical constraints upon the curriculum. One option to reduce these burdens is the use of virtual laboratories where students do not interact with real hardware, but rather with computer simulations of laboratory equipment. A key issue in virtual laboratories is the issue of the authenticity of the learning experience. It is imperative that the students interact with these laboratories in a way that is reflective of the hardware being simulated. However, there is the potential for students to lose sight of the underlying hardware, and instead get caught up in the "computer game-ness" of the experience. The degree to which students are engaged in the type of cognitive processes used by practicing engineers is critical to how they construct their learning within the virtual laboratory, and as such can dramatically impact the overall learning outcomes of the class. This WIP paper presents a multi-site study investigation into these outcomes involving four different virtual laboratories at four different universities

The development of a model of behaviour analysis in a residential service for children with autism

Taylaughlan House is a Fife Council social work residential resource and it currently provides full-time placements for three children who have a diagnosis of autism and display extremely challenging behaviour. Two of these children attend full-time education at a local special needs school. Taylaughlan House consists of two adjoining houses

Glycosaminoglycan profiles of repair tissue formed following autologous chondrocyte implantation differ from control cartilage

Currently, autologous chondrocyte implantation (ACI) is the most commonly used cell-based therapy for the treatment of isolated femoral condyle lesions of the knee. A small number of centres performing ACI have reported encouraging long-term clinical results, but there is currently a lack of quantitative and qualitative biochemical data regarding the nature of the repair tissue. Glycosaminoglycan (GAG) structure influences physiological function and is likely to be important in the long-term stability of the repair tissue. The objective of this study was to use fluorophore-assisted carbohydrate electrophoresis (FACE) to both quantitatively and qualitatively analyse the GAG composition of repair tissue biopsies and compare them with age-matched cadaveric controls. We used immunohistochemistry to provide a baseline reference for comparison. Biopsies were taken from eight patients (22 to 52 years old) 1 year after ACI treatment and from four cadavers (20 to 50 years old). FACE quantitatively profiled the GAGs in as little as 5 μg of cartilage. The pattern and intensity of immunostaining were generally comparable with the data obtained with FACE. In the ACI repair tissue, there was a twofold reduction in chondroitin sulphate and keratan sulphate compared with age-matched control cartilage. By contrast, there was an increase in hyaluronan with significantly shorter chondroitin sulphate chains and less chondroitin 6-sulphate in repair tissue than control cartilage. The composition of the repair tissue thus is not identical to mature articular cartilage

Changes in Body Composition Following In-Season Training in Division I Football Athletes

Strength and conditioning programs for football athletes tend to focus on maintaining gains from off-seasoning training. Due to a significant decrease in time spent in the weight room relative to the amount of work on the field, various morphological adaptations may occur. PURPOSE: The purpose of this study was to examine the changes in body composition following in-season training in Division I (DI) athletes. METHODS: Fifteen DI football athletes (mean ± sd; age, 20 ± 2 years; height, 189.6 ± 11.6 cm; weight, 114.1 ± 19.5 kg) completed two separate visits to the Human Performance Laboratory immediately before and after in-season training. Using the Jackson and Pollock (1978) 7-site skinfold prediction equation for 18-61 yr male athletes, each athlete’s body density could be calculated and then percent body fat estimated using the Siri Equation to further classify the athlete. A Lange Skinfold Caliper was used to assess both preseason and postseason measures. Each individual was instructed to relax and not hold tension while measures were being taken on the right side of their body. Paired samples t-test were used to compare pre and post measures of body composition (i.e. % body fat). RESULTS: The results from a dependent t-test revealed a significant difference between preseason and postseason body fat percentage (15.12 ± 4.89% vs 13.98 ± 4.63%; t14 = 3.167; p \u3c 0.01), as well as a significant difference between weight (250.98 ± 43.09lbs vs 242.05 ± 42.32lbs; t14= 3.77; p\u3c 0.01). Post-hoc effect sizes indicate that between differences were large preseason for changes in body fat (d= 1.39) and weight (d= 9.16). CONCLUSION: A large effect size suggests that there are meaningful differences between the values. The strength and conditioning program that the athletes were a part of has effectiveness that kept muscle size and strength throughout the season while losing excess body fat

Evaluating the role of a galanin enhancer genotype on a range of metabolic, depressive and addictive phenotypes

Funded by •ERC. Grant Number: 284167 •NIH. Grant Number: 1RO1DK0921127-01 •NWO. Grant Numbers: 463-06-001, 451-04-034Peer reviewedPublisher PD

Screening for Alzheimer’s Disease in Vermont Primary Care Practice

Introduction: • Alzheimer’s Disease (AD) is a form of progressive dementia that affects 5.3 million Americans and is the sixth leading cause of death in the US. • Age is a major risk factor for disease , and 1 in 8 Americans over 65 can expect to develop AD. • The U.S. healthcare system spends $172 billion/year on patients with AD and dementia, more than half of the Medicare budget. This cost is estimated to increase to over$1 trillion by 2050. • In 2003, the US Preventative Services Task Force (USPSTF) concluded that screening older adults for dementia is ineffective due to insufficient means of preventing or slowing its progression. • In 2011, the National Institute on Aging published new diagnostic criteria for AD. • In accordance with these guidelines the Centers for Medicare and Medicaid Services released rules for the new Annual Wellness Visit that include the detection of cognitive impairment. • Our goal was to identify the attitudes and practices of primary care physicians (PCPs) in Vermont (VT) related to screening for AD and dementia.https://scholarworks.uvm.edu/comphp_gallery/1063/thumbnail.jp

Imputation of Ordinal Outcomes: A Comparison of Approaches in Traumatic Brain Injury.

Loss to follow-up and missing outcomes data are important issues for longitudinal observational studies and clinical trials in traumatic brain injury. One popular solution to missing 6-month outcomes has been to use the last observation carried forward (LOCF). The purpose of the current study was to compare the performance of model-based single-imputation methods with that of the LOCF approach. We hypothesized that model-based methods would perform better as they potentially make better use of available outcome data. The Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study (n = 4509) included longitudinal outcome collection at 2 weeks, 3 months, 6 months, and 12 months post-injury; a total of 8185 Glasgow Outcome Scale extended (GOSe) observations were included in the database. We compared single imputation of 6-month outcomes using LOCF, a multiple imputation (MI) panel imputation, a mixed-effect model, a Gaussian process regression, and a multi-state model. Model performance was assessed via cross-validation on the subset of individuals with a valid GOSe value within 180 ± 14 days post-injury (n = 1083). All models were fit on the entire available data after removing the 180 ± 14 days post-injury observations from the respective test fold. The LOCF method showed lower accuracy (i.e., poorer agreement between imputed and observed values) than model-based methods of imputation, and showed a strong negative bias (i.e., it imputed lower than observed outcomes). Accuracy and bias for the model-based approaches were similar to one another, with the multi-state model having the best overall performance. All methods of imputation showed variation across different outcome categories, with better performance for more frequent outcomes. We conclude that model-based methods of single imputation have substantial performance advantages over LOCF, in addition to providing more complete outcome data