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DTB 069 Anthony S Stiell 4-11-2023
Get PDFIn this interview, Anthony Stiell is interviewed by Channing Evans, Malayshia Dunnigan, and Killian Day at the Marx Library at the University of South Alabama. Mr. Stiell describes his experiences growing up Down the Bay, including businesses that operated in the community, and shares some of his experiences attending St. Peter Claver Elementary. He discusses the sense of community that he experienced Down the Bay, and ruminates on the impacts and dynamics of urban renewal in relation to how the community and the neighborhood have changed over time
DTB 092 Jonathan Nickles 8-11-2023
Get PDFIn this interview, Jonathan Nickles is interviewed by Alisha Palmer over Zoom about his memories of the Down the Bay community. Mr. Nickles describes the house he grew up in, and discusses the neighborhood, including local businesses and landmarks and the cultural and social dynamics that they fostered. He also talks about some of the celebrities and famous figures who originated Down the Bay, including athletes and entertainers. Mr. Nickles reflects on the impacts of I-10 and urban renewal, and discusses changes he has seen in the neighborhood after that time
DTB 098 James Gavin 8-24-2023
Get PDFIn this interview, James Gavin is interviewed by Alisha Palmer on Zoom about his memories of growing up in the Down the Bay community. Dr. Gavin describes the house and neighborhood he grew up in, exploring the family dynamics of the former and the social and cultural dynamics of the latter. He shares some of his family history, also connecting it to foodways and other aspects of life Down the Bay. Dr. Gavin recalls some of the games that children played in his youth, and describes his educational experiences, as well as his involvement in the Civil Rights Movement in Mobile under the leadership of Rev. William Milton Smith of AME Zion Church. Toward the end of the interview, Dr. Gavin discusses his medical career, and recites excerpts of poems by James Weldon Johnson and Paul Lawrence Dunbar
Bone Die
Get PDFThis bone die was found at the South Royal Street Site near downtown Mobile during excavations for the I-10 Mobile River Bridge Archaeological Project. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc. This project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department.https://jagworks.southalabama.edu/cas-videos_artifact-highlights/1004/thumbnail.jp
Owen Farley Pitcher
Get PDFThis Owen Farley pitcher was found at the Virginia Street Site near downtown Mobile during excavations for the I-10 Mobile River Bridge Archaeological Project. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc. This project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department.https://jagworks.southalabama.edu/cas-videos_artifact-highlights/1012/thumbnail.jp
From Training to Adoption: A Study of Technology Adoption After Video-Editing Training in Higher Education
Get PDFBased on the Technology Acceptance Model (TAM) (Davis et al., 1989), this research examines the variables of perceived usefulness and perceived ease of use as predictors of video creation usage after software training. To gain a comprehensive understanding of the technology adoption process, the study also employed the Learning Adoption Trajectory Model (LATM) (Sherry et al., 2000), to explore how faculty and staff progress through different stages of technology adoption. Furthermore, the study examined whether the barrier of time, value to the department, and priority played a role in predicting the technology\u27s usage.
The study employed a mixed-design approach, with a quantitatively dominant design and a concurrent, sequential collection of qualitative data. The qualitative section used a nonexperimental cross-sectional design based on responses to open-ended questions in the survey questionnaire and interviews. Following a four-week training course in Camtasia, a video-editing software technology, participants were surveyed to assess their utilization of the software subsequent to the training. Because training cohorts ranged from March 2021 to September 2022, participants were surveyed anywhere from four to eighteen months after their training. A total of 63 participants completed the survey for this study. In addition, data from partially completed surveys were included in the analyses, resulting n a total of 78 responses. Furthermore, I conducted seven interviews to supplement the survey data.
The findings of the study suggest that perceived usefulness significantly predicted participant usage of the software, while perceived ease of use did not after controlling for usefulness. Moreover, out of the three barriers, the results indicated that value to the department was the most significant predictor of participants\u27 future intention to use Camtasia, compared to the barrier of time and priority. The LATM model offered insights into the different stages of adoption, revealing that most faculty and staff were in the early stages of adoption. The analysis also indicated that the stage was a predictor of the number of projects created per semester, but not necessarily future intention of use. this suggested that participants in higher stages of adoption created more projects, but it did not necessarily have an effect on the future intention to use Camtasia.
To summarize, this study offers valuable insights into the predictors of technology usage among higher education faculty and staff. Specifically, the findings underscore the significance of a person\u27s perception of usefulness and the departmental perceived value of technology, in relation to their intention to use it in the future. Furthermore, LATM offered a useful framework for understanding the different stages of adoption and the predictors of project creation. This information can be used to inform instructional design and training strategies that effectively support faculty and staff in adopting technology.
This study offers practical implications for enhancing the adoption of technology in higher education settings. By understanding the factors that influence technology adoption, instructional designers and trainers can develop effective strategies to facilitated technology adoption and improve teaching and learning outcomes
Epileptic Seizure Classification Using Image-Based Data Representation
Get PDFEpilepsy is a recurrence of seizures caused by a disorder of the brain in over 3.4 million people nationwide. Some people are able to predict their seizures based off prodrome, which is an early sign or symptom that usually resembles mood changes or a euphoric feeling even days to an hour before occurrence. Consequently, the natural instincts of the body to react to an upcoming attack lends credence to the existence of a pre-ictal state that precedes seizure episodes. Physicians and researchers have thus sought for an automated approach for predicting or detecting seizures.
In this research, we evaluate the image-based representation of EEG as a basis for classification and training of machine learning algorithms. We explore only the raw EEG data for images in lossless image file formats, though there are other forms including symbolized and noise-filtered that can be explored. Furthermore, we evaluate different color mapping schemes (symbolized, default, chromatic, and binned) that assign EEG data values to Red-Green-Blue (RGB) pixel values. We report the performance of machine learning algorithms such as Random Forest to accurately classify EEG-based images as either event (with a seizure) or non-event (without a seizure)
Examining NDUFAB1 Expression in Head and Neck Squamous Cell Carcinoma
Get PDFHead and neck squamous cell carcinoma (HNSCC) accounts for around 4% of all cancers in the USA. HNSCC includes cancers of the oral cavity, oropharynx, nasopharynx, hypopharynx, and larynx. Reprogramming of mitochondrial metabolism has been known to promote oncogenesis. NDUFAB1, a nuclear encoded subunit of respiratory complex I (RCI) in the inner mitochondrial membrane, is abundantly expressed at the mRNA level in HNSCC patients. Based on this finding, we hypothesize that NDUFAB1 protein expression is high in HNSCC and that NDUFAB1 expression predicts a poor prognosis in HNSCC patients. We determined NDUFAB1 expression in HNSCC using immunohistochemistry and pathology guided digital imaging and used this data, along with patients’ cancer stage, tumor grade, age, sex, and survival to determine HNSCC outcome. The results showed a statistically significant increase in NDUFAB1 protein expression in cancer tissues compared to normal controls. There was also a statistically significant correlation between NDUFAB1 expression in normal tissues and progressive clinical stage and tumor grade, along with patients’ age. However, there was a statistically insignificant association between NDUFAB1 expression and the patients’ sex and survival, as well as between clinical stages and tumor grades
Medical School Watercooler Newsletter - June 1, 2023
Get PDFThis is the June 1, 2023 edition of the Frederick P. Whiddon College of Medicine\u27s newsletter - Watercooler.
Contents include: Whiddon college of medicine grieves passing of first chair of pharmacology Residents and fellows present at annual academic exposition Meet a Med Student: Kelly Blacksher Sehgal earns national citation for critical care medicine contribution
Medical School Watercooler Newsletter - April 27, 2023
Get PDFThis is the April 27, 2023 edition of the Frederick P. Whiddon College of Medicine\u27s newsletter - Watercooler.
Contents include: Surgeons publish chapter in \u27Operative Techniques in Surgery\u27 textbook Ph. D. student selected for Alzheimer\u27s association ambassador program Alumni Spotlight: Olivia Means, M.D., pens children\u27s boo