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JSU ROTC, 2024 Alumni Banquet 8
No full textThe 29th annual ROTC Homecoming Banquet at Jacksonville State University was held September 20, 2024 in the Recreation and Fitness Center. Shown are guests.https://digitalcommons.jsu.edu/rotc_photos/11067/thumbnail.jp
JSU ROTC, 2024 Alumni Banquet 34
No full textThe 29th annual ROTC Homecoming Banquet at Jacksonville State University was held September 20, 2024 in the Recreation and Fitness Center. Shown is CDT Rex Blair, Assistant S3 Operations.https://digitalcommons.jsu.edu/rotc_photos/11093/thumbnail.jp
JSU ROTC, 2024 Alumni Banquet 51
No full textThe 29th annual ROTC Homecoming Banquet at Jacksonville State University was held September 20, 2024 in the Recreation and Fitness Center. Shown Col. Michael Dalesandro makes a presentation to Sydni Taite.https://digitalcommons.jsu.edu/rotc_photos/11110/thumbnail.jp
JSU ROTC, 2024 Alumni Banquet 55
No full textThe 29th annual ROTC Homecoming Banquet at Jacksonville State University was held September 20, 2024 in the Recreation and Fitness Center. Shown Col. Michael Dalesandro makes a presentation to Colby Tillman.https://digitalcommons.jsu.edu/rotc_photos/11114/thumbnail.jp
JSU ROTC, 2024 Alumni Banquet 64
No full textThe 29th annual ROTC Homecoming Banquet at Jacksonville State University was held September 20, 2024 in the Recreation and Fitness Center. Shown LTC Eddie Walker, Professor of Military Science, speaks from the podium.https://digitalcommons.jsu.edu/rotc_photos/11123/thumbnail.jp
Addresses and Speeches by Alabamians: Finding Aid
Full text linkThis collection is comprised of printed copies of speeches and addresses given by Alabamians. The collection was put together by Dr. Alta Millican, Dean of Library Science, Communication and Instructional Media (retired 1986), most probably at the behest of Dr. Ernest Stone, University President at the time, and contains speeches sent to her by Dr. Stone as well as those she collected herself. She labeled them “Important Speeches of Alabamians” and stored them in a vertical file. Dr. Stone referred to them as “Great Speeches by Great Alabamians” and noted in correspondence that the original idea was to laminate or microfilm the speeches in order to make them “available to the public on a restricted basis from now to eternity.
Mystic Krewe of Apollo 47th Anniversary Ball (2024) | Costume Sketch 002
No full textMystic Krewe of Apollo held its 47th Anniversary Ball in 2024. Shown is a costume sketch for King Apollo XLVII. Danny Gallups wore this costume at the event. This item is contained within the Clements drama production materials.https://digitalcommons.jsu.edu/clements_costumes/1484/thumbnail.jp
Controlling the Narrative: The Effects of Media Coverage On Fear of Crime and Socio-political Ideology
Full text linkSeveral decades of study have established an understanding that media have a unique power to influence the perspectives and worldviews of audiences. This phenomenon has been explored through the lenses of Social Learning and Cultivation theory, wherein media appeal to base human tendencies of self-preservation and teaches audiences how to maximize rewards for their actions by acting as a sort of instructor or friendly warning from members of the community. While prior studies have suggested the presence of this effect, little research has been devoted to understanding the ways that this may influence behaviors in viewers. My research seeks to understand how crime-based media affect audiences’ understanding of crime and the criminal justice system by surveying adult American participants about fear of crime and support for strict criminal justice policies in relationship to their crime-based media consumption habits.
I performed two multiple regression analyses to measure how these aspects of thought were influenced by participants’ weekly crime-based media consumption. I found that watching news media had a negative relationship with both fear of crime and support for strict crime policies, while fictional crime-based media did have a positive relationship with crime policy support. Results suggest that outside factors such as political ideology may have a stronger impact on fear of crime and crime policy support than media habits
Predictive Analysis of Health Risk Indicators Using Machine Learning Models and Classification
No full textIn this research project, we aim to perform predictive analysis on the Diabetes Health Indicators Dataset. This dataset contains healthcare statistics and lifestyle survey information about individuals, along with their diagnosis of diabetes. The dataset consists of 27 features, including demographics, lab test results, and survey responses in which the target variable for classification is the health status of each patient, categorized as having diabetes, being pre-diabetic, or being healthy. To conduct predictive analysis on this dataset, we will explore various machine learning algorithms suitable for both categorical and integer feature types. We will preprocess the data by handling missing values, encoding categorical variables, and scaling numerical features if necessary. For the classification task, we will evaluate the performance of algorithms such as logistic regression, decision trees, random forests, and outlosupport vector machines. We will use appropriate evaluation metrics such as accuracy, precision, recall, and F1-score to assess the performance of each model by utilizing both Microsoft machine learning studio as well as the coding language R to perform our analysis. To enhance the predictive power of our models, we may also consider feature selection techniques to identify the most relevant features for classification. This will help in reducing dimensionality and improving model efficiency. The results of the predictive analysis provide insights into the factors that contribute to diabetes and pre-diabetes, and help in identifying individuals at risk. This information can be utilized for preventive healthcare interventions and personalized treatment strategies. Overall, this research project aims to leverage the Diabetes Health Indicators Dataset to develop accurate predictive models for classifying individuals\u27 health status based on various demographic, lab test, and survey features. The findings of this study have the potential to contribute to the field of healthcare analytics and improve patient care and management.https://digitalcommons.jsu.edu/ce_jsustudentsymp_2024/1049/thumbnail.jp
Competitive Anxiety and Injury Risk for Collegiate Athletes: A Critically Appraised Topic
No full textContext: Competitive anxiety is an athlete\u27s negative emotional reaction when their self-esteem is threatened due to a competition/task that is perceived as unattainable. Competitive anxiety affects athletes at all levels. Specially, collegiate athletes face numerous obstacles that may increase their risk for competitive anxiety. Collegiate athletes with competitive anxiety are at a greater risk for injury. Therefore, the purpose of this critically appraised topic is to examine the relationship of injury occurrence and competitive anxiety in collegiate athletes.
Methods: A computerized search was conducted in October 2023. The search terms used were “collegiate”, “athletes\u27\u27, “anxiety”, “competitive”, “performance”, “preseason”, “injury”, “risk”, and “incidence”. Electronic databases used were Sport Discus, Medline, CINAHL, and Google Scholar. Inclusion criteria included articles from the year 2000 until present, written in the English language, and peer reviewed journals. Articles excluded contained high school and professional athletes and athletes that had previous injury history. The research was appraised using the STROBE. One author independently reviewed the studies, scored each paper, and reviewed the completed appraisals to come to a consensus on the study quality.
Results: The literature search retrieved 60 total articles and 56 were excluded based on the exclusion criteria, resulting in four studies. The results of three articles demonstrated a correlation between competitive anxiety and an increased risk for injury, with one article showing no relationship. Therefore, competitive anxiety has increased among collegiate athletes due to various obstacles relating to a collegiate lifestyle. The added stress of entering college, competing for a starting position, and academics play a significant role. Twenty-one percent of 615 collegiate athletes scored at risk for anxiety and 28.8% of 958 reported preseason anxiety symptoms. In addition to collegiate lifestyle changes, injuries are prevalent in collegiate sports with an athlete averaging two injuries during a competitive season. Approximately 52.8% of 597 injuries athletes reported anxiety concerns before the injury occurred. Collegiate athletes with anxiety demonstrated a significantly higher injury incidence rate compared to collegiate athletes with no competitive anxiety symptoms: 38.9 vs 16.3 per 10,000 athletic events. Furthermore, seeking treatment is a concern among collegiate athletes. One in five athletes admit having anxiety concerns, but only 50% seek treatment. Overall, the evidence demonstrates a correlation between competitive anxiety and increased risk for injury among collegiate athletes.
Conclusions: The aspect of competitive anxiety creates an environment conducive for injury. With the transition from high school to college, collegiate athletes are faced with numerous obstacles, which makes them more susceptible for anxiety development. Overcoming barriers that athletes face and proper screening will assist athletes to seek proper treatment. Future research should examine the effectiveness of preseason screening and coping strategies that will help reduce anxiety before competition.https://digitalcommons.jsu.edu/ce_jsustudentsymp_2024/1039/thumbnail.jp