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DTB 106 Lois Eastman & Dorothy Holt 6-18-2024
Get PDFIn this interview, Butch Holmes is interviewed by Ryan Morini on Zoom about growing up in the Down the Bay community. Mr. Holmes discusses his family history and the boundaries of Down the Bay, and describes the neighborhood as he experienced it, sharing a number of stories about the games that he and his friends played. He also discusses racism and segregation in Mobile, and reflects on the changes he’s seen in the neighborhood. He mentions a number of other individuals who lived in the community in the course of the interview
J.A.W.S. Fest Jazzy Poetry - May 7, 2024
No full textWelcome to Poetry Night with JAWS Fest, where creativity meets culture in an unforgettable evening of spoken word and artistic expression! JAWS Fest celebrates Jazz, Art, Writers, and the vibrant culture of the South, bringing together talented poets from across the region for a night of captivating performances. Join us as we delve into the depths of human emotion, explore powerful narratives, and celebrate the beauty of language through poetry. From heartfelt verses to thought-provoking spoken word, each poet brings a unique voice and perspective to the stage, promising an evening filled with inspiration and connection. Whether you\u27re a poetry enthusiast or simply curious about the art form, Poetry Night with JAWS Fest offers an enriching experience for all. Don\u27t miss out on this opportunity to witness local talent shine and be moved by the power of words.https://jagworks.southalabama.edu/jaws-poetry_2024/1000/thumbnail.jp
AI-Accelerated Smartwatch for Blood Glucose Estimation
No full textDiabetes Mellitus (DM) refers to a set of metabolic disorders which are generally characterized by an inability to produce or use insulin, a hormone which enables the metabolization of glucose in the blood. Blood glucose (BG) levels are an important health indicator in the management of DM. Conventional methods of measuring BG use direct blood samples and electrochemical analysis. While accurate, these ‘invasive’ methods can cause discomfort, tissue damage, and pose a risk of infection for the patient. Developing a truly ‘noninvasive’ method of measuring or approximating BG has grown increasingly relevant as technology advances and cases of DM continue to rise. In particular, recently, AI-empowered techniques have shown promising results in BG prediction. However, existing techniques are costly and usually need support from the internet, smart phones, or a backend server/cloud. This thesis designs, develops, and prototypes an AI-empowered wearable device (WD) which combines two methodologies for estimating BG and explores the validity of having such estimations performed on a purely edge-based device. The BG estimation methods explored for this device are photoplethysmography (PPG) and breath acetone measurement, with an AI model used to make estimations based on this data
The Art of Medicine: Healing the Heart, Body and Soul
Get PDFIn this session, we will explore the various ways in which literary, visual, and performing arts serve within medical communities to create meaning and understanding from the profound human experiences associated with illness, healing, and health. We will discuss the relationship between the creative arts, reflective practice, and professional identity. Furthermore, we will demonstrate how the creative arts can be effectively utilized to promote reflective practice
Mindful Sketchbooking
No full textThis interactive workshop explores how keeping a sketchbook can be a powerful tool for mindfulness and well-being. By combining creativity with intention, participants will learn how sketching—whether through doodles, abstract shapes, or detailed drawings—can enhance mental clarity, reduce stress, and cultivate self-awareness. No prior artistic experience is required; this space is for anyone looking to connect with their inner creativity and nurture their emotional health in a supportive, non-judgmental environment. All supplies will be provided
AHS 019 John Mattson 6-6-2024
Get PDFIn this recording, Amber Smith-Fillingim interviews John Mattson about his experience as an Alpha Hall resident in the 1980s. He highlights various activities that took place on campus, like intramural sports, movie nights, pie-eating contests, and the Dorm Olympics. Mr. Mattson recalls that the Alpha Halls had their own school bus to transport students to events like basketball games. He notes serving on the Alpha Student Government and being a Resident Advisor during his time as a student. Mattson and Fillingim also compare how the university has changed over the years in countless ways
Evolution of Medical Ethics During the American Civil War
Get PDFThis thesis will explore the relationship between medical ethics and the American Civil War through a microhistorical approach. This includes analyzing the ways in which the physician-patient relationship was conducted and which medical practices were deemed ethical and by whom. Changes that occurred in medical ethics during the war will be analyzed and explained.
Testing for the Significance of Generational Differences on Opinions of Nuclear Power
Get PDFDifferent generations have different experiences from each other depending on the circumstances of the world they were raised in. As a result, different generations have different views of different controversial topics, and there are few topics as controversial as nuclear power. Throughout its history, it has been seen as both the solution to our energy problems, as well as a threat to the safety of life as we know it. This project aims to see if such a difference exists, and if so, what factors would be most influential in creating this difference? Would the past mistakes and catastrophes shape the views of newer generations? Or have the pressures and challenges of the modern era made people more amenable to the concept of nuclear power? We went about this by designing a survey to investigate variables we believe would affect a different generation’s views on nuclear power and then built a model to see if such views would change a person\u27s opinions on nuclear power.
In our findings, we found that there were significant differences between Gen Z and the Baby Bomers. Particularly on matters of nuclear abolishment. It appears that even though Baby Boomers on average are more supportive than Gen Z towards nuclear power they are also more likely to advocate for its abolishment. While Gen Z, despite being less supportive of nuclear power, viewed abolishing the industry as an extreme scenario with over half saying they were against it. Cumulatively both generations had the economy as the factor most likely to sway their stance on nuclear power
Not Everybody that Walks Around a College Campus Who Plays Football is Okay: Qualitatively Exploring Mental Health in Collegiate Male Football Athletes
No full textDiscussions of mental health are increasing in today\u27s culture. Looking at specific demographics helps us understand their mental capacity. Collegiate football players are a severely understudied group. Focusing on them will allow us to understand the constant high-pressure situations.https://jagworks.southalabama.edu/honors_college_posters/1006/thumbnail.jp
Melting Point Predictions of Thermally Stable Ionic Liquids using a Machine Learning Approach
Get PDFThermally robust ionic liquids hold promise as high-temperature solvents, heat transfer fluids, and high-performance lubricants. These ionic liquids, inspired by thermoplastics like PEEK and PES, incorporate peraryl functional groups that lend them high thermal stability, however they often have melting points greater than 100 °C. A broad liquid range is usually desirable in most applications, so finding thermally robust ILs with lower melting points would significantly enhance their applicability. In this study, machine learning models are developed to make predictions of melting points for these thermally stable ionic liquids using a process called quantitative structure-property relationships (QSPR). The methodology used to model these ionic liquids was adapted from a previous study that examined multiple different machine learning techniques in depth. Modeling was performed on the large and diverse set of 929 ionic liquids from this study, then on a set of 53 thermally stable ionic liquids, then on the combined data set. The performance of each model was evaluated using 10-fold cross validation and the calculation of Q2, which measures the predictive capacity of the model. This cross validation only considered the predictions of thermally stable ionic liquids since that is the overall intent of the modelling. From this cross validation, it was found that the model trained on both sets of data and had no outliers removed showed the greatest predictive capability (with a Q2 of .677) for thermally stable ionic liquids. This model is then used to predict ionic liquids from the thermally stable family with low melting points.https://jagworks.southalabama.edu/honors_college_posters/1013/thumbnail.jp