LOUIS University of Alabama in Huntsville
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A rubber-band system for dynamic incentivization of parallelized gamified objectives
With the advent of videogames as the world\u27s first mass-market interactive media, gamification has emerged as the premier way to harness powerful behavior-affecting gamified elements and place them in other contexts, such as education, fitness, and rehabilitation. This transposition, however, ignores a key tenant of user engagement: reward ought to be aligned with effort. Most, if not all, current gamification systems dispatch static reward allocations for their spread of gamified behaviors. In this paper, an alternative is presented: dynamic gamification. This dynamic gamification reads the user\u27s current gamified state for indicators of aptitude, dynamically remaps rewards with a tuneable evaluation algorithm, and works automatically to align user efforts with gamified rewards. A study is conducted in which this alternative is tested against existing practices, and analysis of the resulting data shows that the effort of a dynamic overhead results in changed user behavior without a change in user sentiment
Louis Wain and the Popularization of House Cats in England
Louis Wain (1860-1939) was a British artist who changed the public\u27s perspective of house cats. Wain was an incredibly talented artist who attended the prestigious West London School of Art and went into work as an illustrator. In 1884, he married a woman named Elizabeth Richardson and together they had a house cat named Peter. However, Elizabeth developed breast cancer and passed away shortly after their wedding. In her sickness, Wain drew pictures of Peter to raise her spirits. He used Peter as a muse after her passing, and his art of cats quickly got incredibly popular. Wain illustrated his cats in an anthropomorphic style, giving them large eyes and human clothes. In Wain’s later years, his health quickly deteriorated. He was committed to a mental hospital when he was 63 years old and lived out the rest of his life in various hospitals.https://louis.uah.edu/honors-399/1021/thumbnail.jp
Determining the Properties of a Galaxy Triplet Through Photometric and Spectral Analysis
https://louis.uah.edu/rceu-hcr/1492/thumbnail.jp
Exploring AI in Table Tennis Video Analytics using YOLOv8 Real-Time Object Detection Models
https://louis.uah.edu/rceu-hcr/1507/thumbnail.jp
Exploring Period Changes Due to Accelerations in Pulsating Variable Stars
https://louis.uah.edu/rceu-hcr/1517/thumbnail.jp
The Effect of Media Variations on L. Gasseri and L. rhamnosus Inhibition of Uropathegenic E. coli (UPEC)
https://louis.uah.edu/rceu-hcr/1530/thumbnail.jp
Evaluation of a diabetes program
Type 2 Diabetes Mellitus (T2DM) is a growing health crisis in the United States, affecting millions of people, and is associated with significant morbidity, mortality, and financial burden. Clinical Quality Measures (CQMs), include hemoglobin A1C, blood pressure control, statin use, and annual screening for nephropathy and retinopathy, which all effect patient outcomes and organization performance. A primary care office that serves approximately 11,000 patients in Madison County, Alabama (AL) found several CQMs related to T2DM that fell below the recommended Healthcare Effectiveness Data and Information Set (HEDIS) goal. The National Committee for Quality Assurance (NCQA) developed and maintains a set of performance measures called HEDIS, which recommends a goal of 80% in multiple diabetes CQMs. A Diabetes Program was implemented with the goal of improving diabetes CQMs, improving patient outcomes related to T2DM, and provider compliance to ordering appropriate test and performing appropriate screenings related to T2DM. The program evaluation examined the effectiveness of a Diabetes Program. Key findings and recommendations for sustaining the program and program reproduction have been identified
Development of a constitutive model free method to determine full-field stresses based upon fundamental physics principles
Advances in imaging techniques allow for the determination of full-field displacements and strains during materials testing. However, most analysis techniques rely on strain gages and virtual extensometers instead of utilizing all available full-field data. Those methods that do utilize the full-field strain and displacement measurements, such as Finite Element Model Updating and the Virtual Fields Method, must also rely on a user-defined constitutive material models to relate the stresses and strains. While these methods can provide accurate full-field stresses and insights into complex material behavior in some cases, they are constrained by the fact that they require a pre-selected constitutive model. If the chosen constitutive model is ill-suited for describing the actual material behavior, the resulting stress field derived from the above analyses will be inaccurate. Therefore, the feasibility of developing a new solver method to determine full-field stresses without the use of stress vs. strain constitutive equations is investigated, through the application of basic physics principles and common-sense constraints. Different constitutive-model free solving methods are developed, and evaluated using simulated full-field displacements and strains generated from the finite element analysis software LS-DYNA as input data in order to solve for the full-field stresses. The theoretical full-field stresses from finite element analysis are then compared against the predicted stress fields from each solver to assess the accuracy and feasibility of different methods. The solver method is able to solve simple square specimens under elastic-plastic loading correctly for their full-field stresses. Additionally, it can solve for the full-field stresses of a square specimen with a varying Young’s modulus. However, specimens with more complex geometry are not able to be solved correctly. The applied physics principles and assumptions are reasonable for the complex specimens, but their implementation leads to trivial solutions
Understanding pediatric healthcare access from a Black parental perspective : a qualitative study
In the United States, healthcare access disparities have existed for several years in the African American/Black pediatric population. The District of Columbia ranks first nationally for health insurance coverage; however, African American/Black children have disproportionately experienced barriers to care compared to the District of Columbia’s pediatric population overall. There are current gaps in research that investigate African American/Black pediatric healthcare access from a parental perspective. The purpose of this descriptive phenomenology qualitative study was to explore research gaps by investigating barriers and facilitators to care, and the social determinants of health that impact pediatric healthcare access through the lens of the African American/Black parental lived experiences in the District of Columbia. Overall, participants shared more barriers than facilitators to healthcare access and reported social factors that impacted their children’s healthcare access. Barriers included insurance coverage, transportation, school schedule, wait time, feelings about care, finding a provider, communication, and missed appointments. Facilitators included reminders, financial stability, importance, and navigation. To address barriers to healthcare access and negative social determinants of health, changes to clinical practice guidelines and policy can inform care delivery changes to improve healthcare delivery to improve the quality of healthcare access for this population