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A Comparative Analysis of NF-κB1 Gene Regulatory Sequence Methylation in Normotensive and Hypertensive Kenyans
Full text linkAccounting for the majority of deaths worldwide, non-communicable diseases (NCDs) present the greatest health challenge of the twenty-first century. Specifically, cardiovascular diseases (CVDs) exceed all other NCDs in annual deaths and especially affect low- and middle-income countries (LMICs). Hypertension, being the primary risk factor for CVD, affects over 75% of adults in LMICs due to inadequate health care and preventative measures. Additionally, epigenetic modifications of DNA are important mechanisms that regulate gene expression; DNA methylation, in particular, affects cytosine residues in cytosine-phosphate-guanine (CpG) islands on regulatory sequences. Previous research in our laboratory analyzed percent methylation at 8 different CpG islands in intron 1 of the NF-κB1 gene. As a result, this study further investigates the hypothesis that hypomethylated regulatory sequences of the NF-κB1 gene allows for greater transcriptional activity, resulting in a sustained inflammatory response and ultimately leading to hypertension. Results from this study showed that there may be increased percent methylation in normotensive/elevated versus hypertensive Kenyans (3.09% ± 0.47% and 2.43% ± 0.43%, respectively) when eight CpG sites of intron 1 were analyzed (n=20). In addition, Pearson\u27s correlation showed that 23 pairs of CpG sites in the target sequence were positively associated with percent methylation. Moreover, results depicted statistical significance in predictive ability in 5 CpG sites for systolic blood pressure (SBP) and 6 CpG sites for diastolic blood pressure (DBP)
Joan Browning with Lorene Flanders Pre-presentation Welcome Photo 3
No full textPhoto of Joan Browning and Lorene Flanders, USA Libraries Director, before presentation.https://jagworks.southalabama.edu/freedom-rider-browning_photos/1002/thumbnail.jp
Joan Browning Presentation Photo 2
No full textMs. Browning speaking during her presentation at the University of South Alabama. The photo shows an image of her presentation slide with her and her beloved pet dog.https://jagworks.southalabama.edu/freedom-rider-browning_photos/1004/thumbnail.jp
Working to Achieve Flow
Full text linkThis paper is a thesis for the body of work I created over the last 3 years called Working To Achieve Flow. In the following pages, I will discuss what inspired me to create this body of work, which entailed personal reflection on my own mental health and how it affects my art practice. I will also go over who my influences are: Eva Hesse, Willem De Kooning, and Jenny Saville. Each of these artists inspires me to think about my work in different ways, which has helped me develop into the artist I am today. Finally, I will break down the methodology I used in my process for this body of work
Down the Bay Oral History Project Newsletter - Winter 2025
Full text linkPublic newsletter sharing information about progress and discoveries during the Down The Bay Project
USA Archaeology Museum Newsletter - February 2025
Full text linkIn this edition of the museum\u27s newsletter; USA Archaeology Museum Spring Semester Exhibition: INTO LIGHT Project Alabama Alabama Archaeological Society, Southwest Chapter: The Archaeology of France on the Gulf Coast Lecture Series Upcoming Free and Mostly Online Talks Legacies of Slavery & the Shared History of the South Laissez Les Bons Temp Rouler Museum Spring Break Closure Giving to the Archaeology Museu
Application of Graph Neural Networks on Phase Space Graphs for Cybersecurity
No full textNon-linear phase space analysis may be used to represent time-series data as graph data with transitions between states in the time domain. By studying these transitions, we can predict anomalies within the system. Previous research has demonstrated success in learning from phase graphs for malware and seizure detection. These solutions either require extracting global features or converting the graph into an image for convolutional neural networks (CNNs), which adds a layer of complexity and limits the size and potential expressiveness of a graph. To sidestep current limitations, this study proposed Graph Neural Networks (GNNs) for analyzing phase graphs. GNNs do not limit graph complexity, nor require the upfront calculation of global or local features. This study utilizes this approach on two cybersecurity datasets: the well-known Canadian Institute for Cybersecurity Intrusion Detection System (CICIDS) 2017 dataset of network activity and a power usage dataset for rootkit detection. Findings have revealed GNNs can be used successfully with phase space graphs, that the type of GNN does impact the classification accuracy, and that variance in parameters for the phase space graph also may impact the classification accuracy
Episode 3 - Community
No full textThis third episode in the series focuses on the ways that oral history narrators described the sense of community Down the Bay, and the institutions and practices that generated and maintained that sense of community. The students engage with these stories by sharing some of their own reflections about their own communities.
What Happened Down the Bay? is a podcast created by University of South Alabama students in summer 2025, through the Jean O’Connor-Snyder Internship Program (JOIP) funded by the David Mathews Center for Public Life. Down the Bay is a historic Black neighborhood south of downtown Mobile, Alabama, and this podcast explores the history of Down the Bay as community members have related it through oral history interviews. In preparation for the internship, students participated in an oral history seminar with Drs. Ryan Morini and David Messenger, working with interviews from the Down the Bay Oral History Project collection at the McCall Library before meeting with elders from the community and recording new interviews for the collection. The podcast combines clips from the archived interviews with students’ reflections on how their own home communities and experiences relate to those that people describe from Down the Bay
Taxonomy of Endophytic Fungi associated with Vallisneria neotropicalis
No full textThis study presents the first comprehensive taxonomic and ecological investigation of endophytic fungi (EF) associated with the submerged aquatic macrophyte Vallisneria neotropicalis in the southern United States. Over a 12 month period, from April 2023 to March 2024, leaf samples were collected from two distinct sites in Mobile Bay, Alabama a disturbed, brackish Causeway location and a cleaner, less impacted site at Meaher State Park. Using culture dependent methods, a total of 257 fungal endophytes were isolated from 1,200 leaf segments. All isolates belonged to the phylum Ascomycota, distributed across 3 classes, 6 orders, 10 families, and 19 taxa. The community was numerically dominated by the genera Penicillium (46.1% of isolates, 8 species) and Trichoderma (28.1%), with Penicillium chrysogenum as the most abundant species. Diversity indices indicated a community of moderate richness (Shannon Wiener H′ = 2.32; Simpson’s 1 D = 0.847) and high evenness (E = 0.79), consistent with patterns of specialized, lower diversity fungal assemblages previously observed in other Vallisneria species. A strong vertical gradient was observed within leaves, with the middle (47.3%) and bottom (42.9%) segments harboring significantly more isolates than the top segment