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Volume 32, Summer 2005 Communication And Theater Association Of Minnesota Journal

Communication and Theater Association of Minnesota Journal

Complete digitized volume (volume 32, Summer 2005) of Communication and Theater Association of Minnesota Journal.

Volume 33, Summer 2006 Communication And Theater Association Of Minnesota Journal

Communication and Theater Association of Minnesota Journal

Complete digitized volume (volume 33) of Communication and Theater Association of Minnesota Journal.

[2021 Winner] Incarceration As A New Age Form Of Slavery For People Of Color And Racism In The United States, Tessa Rosasco

Ethnic Studies Research Paper Award

Throughout the history of the United States, racial disparity has been rampant. This is especially true in relation to the population of people of color imprisoned in the U.S. My paper discusses the racial inequality in America, especially that of African Americans, and how people of color have been unjustly treated in a historically racist and unjust system. Special emphasis has been given to the portrayal of African Americans in the media and how presidential rhetoric and agendas have harmed communities of color.

Aspect-Based Sentiment Analysis Of Movie Reviews, Samuel Onalaja, Eric Romero, Bosang Yun

SMU Data Science Review

This study investigates a comparison of classification models used to determine aspect based separated text sentiment and predict binary sentiments of movie reviews with genre and aspect specific driving factors. To gain a broader classification analysis, five machine and deep learning algorithms were compared: Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), and Recurrent Neural Network Long-Short-Term Memory (RNN LSTM). The various movie aspects that are utilized to separate the sentences are determined through aggregating aspect words from lexicon-base, supervised and unsupervised learning. The driving factors are randomly assigned to various movie aspects and their impact tied to …

Access Barriers To Telehealth, Quynh Chau, Amita Behuria Pathak, Daniel Turner, Jacquelyn Cheun, Carl Noe

SMU Data Science Review

Abstract. Telehealth has long been touted as an efficient and cost-effective way to deliver health care services to patients. The COVID-19 global pandemic hastened the adoption of this technology in the United States. Despite its promises, telehealth as a technology-based model of health service delivery has also highlighted access to care inequities in the form of uneven utilization across various patient demographics. This research uses machine learning and publicly available data sources to describe telehealth utilization based on social determinants of care. The implications of this application can be used to inform health care providers of how to target efforts …

Reading Level Identification Using Natural Language Processing Techniques, William Arnost, Ellen Lull, Joseph Schueder, Joseph Engler

SMU Data Science Review

This paper investigates using the Bidirectional Encoder Representations from Transformers (BERT) algorithm and lexical-syntactic features to measure readability. Readability is important in many disciplines, for functions such as selecting passages for school children, assessing the complexity of publications, and writing documentation. Text at an appropriate reading level will help make communication clear and effective. Readability is primarily measured using well-established statistical methods. Recent advances in Natural Language Processing (NLP) have had mixed success incorporating higher-level text features in a way that consistently beats established metrics. This paper contributes a readability method using a modern transformer technique and compares the results …

Modeling Electric Energy Generation In Ercot During Extreme Weather Events And The Impact Renewable Energy Has On Grid Reliability, Adam R. Ruthford, Bivin Sadler

SMU Data Science Review

This paper shows the inadequacy of current grid backup supplies, their ongoing threat to grid reliability, and the increased risk of customer blackouts. This paper also examines reliability concerns caused by renewable energy sources under more normal operating conditions. This paper seeks to model the impacts of extreme weather on ERCOTs grid. Unusual weather patterns require that the electrical grid operates in conditions outside normal operating parameters. Electrical system demand can spike well above normal levels. At the same time, weather influences can change the operating envelope of electrical generation equipment. The ERCOT grid has changed from its’ traditional mix …

Emotion Integrated Music Recommendation System Using Generative Adversarial Networks, Mrinmoy Bhaumik, Patrica U. Attah, Faizan Javed

SMU Data Science Review

Music can stimulate emotions within us; hence is often called the “language of emotion.” This study explores emotion as an additional feature in generating a playlist with a deep learning model to improve the current music recommendation system. This study will sample emotions from certain subjects for each song in a sample of the data. Since the effect of music on emotion is subjective and is different person to person, this study would need a considerable number of subjects to reduce subjectivity. Due to the limited resources, a portion of the data will be labeled with emotion from subjects and …

Alternative Methods For Deriving Emotion Metrics In The Spotify® Recommendation Algorithm, Ronald M. Sherga Jr., David Wei, Neil Benson, Faizan Javed

SMU Data Science Review

Spotify's® recommendation algorithm tailors music offerings to create a unique listening experience for each user. Though what this recommender does is highly impressive, there is always room for improvement given that these techniques are not fully prescient. This study posits that in addition to creating certain features based on audio analysis, incorporating new features derived from album art color as well as lyrical sentiment analysis may provide additional value to the end user. This team did not find that a significant difference existed between color valence and Spotify® valence; however, all other comparisons resulted in statistically significant difference of means …

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient, …

Fashion, Identity And The Muslim-American Narrative, Shireen Soliman

Artizein: Arts and Teaching Journal

In this pivotal time, assumptions, boundaries, power structures and relationships within society are being reconsidered and reimagined. My research project, “Fashion, Identity and the Muslim- American Narrative” builds off of well-established prior models and responds to this moment. Through this multidisciplinary, multimedia design workshop series geared towards Muslim American female adolescents, we are able to leverage the powerful intersection of design, technology, community, social media and social justice. In this affirming, enlightening space, we use fashion, dress and personal narrative as the springboard and means of exploring the intrinsic connection between social and emotional issues surrounding identity development, social justice …

Do Teachers Know This?, David L. Pike

Artizein: Arts and Teaching Journal

A Communication Arts instructor in a Calgary Technical Institute discovers an opportunity to enlarge his vocation when a student asks him a simple four-word question. Methods of thinking and learning are soon integrated into the communications curriculum, and students, together with their instructors, are invited to develop more and better “TLC” capabilities as they study and practice their chosen disciplines. The article closes by suggesting, given the challenges we’re facing in working, learning, and living well together now, that we ask leaders in our communities and beyond the same question; and to encourage them to expand their leadership roles and …

Aesthetic And Pedagogical Compasses: The Self In Motion, Liora Bresler

Artizein: Arts and Teaching Journal

This is a story of composing and being composed by “Aesthetics and curriculum”, a course I taught for 28 years at the University of Illinois. The course aimed at living with questions, as Rilke famously suggested, rather than seeking ultimate answers; heightened experience, wonder and exploration rather than mastery; creating openings rather than pre-destined knowledge. Tuning inward and outward were complementary processes that supported each other in a dynamic conversation involving artworks, the self, and aesthetic theories. We learned about ourselves in the process of encountering artworks and aesthetic theories, and, in turn, the encounter with our individual selves was …

The Bridge, Bonnie Berkowitz

Artizein: Arts and Teaching Journal

Abstract “The Bridge”

Stories That Mattered: Inspirited Stories and the Unfolding Arts Curriculum as a call for papers for Fall 2021 issue inspired this Art Therapy educator to consider and re-examine past teaching beliefs and practices, to underscore and understand with more clarity, how the dissonance between two styles of a classical Fine Arts and an Art Therapy Education became apparent in an Art Therapy graduate studio course. With a sharing of past experiences and ideology, Berkowitz writes about how the examination of quality and fears, about a fine arts critique and the nonjudgmental art discussion, highlight the need to …

Rocket Learn, Daanesh Ibrahim, Jules Stacy, David Stroud, Yusi Zhang

SMU Data Science Review

Abstract. This paper covers the development, testing, and implementation of Reinforcement Learning methods designed to autonomously learn and optimize Rocket League play. This study aims to analyze and benchmark model frameworks commonly used in Reinforcement Learning applications. These models can be applied to tasks ranging in difficulty from simple to superhumanly complex, and this study will begin with and build upon simple models performing simple tasks. It will result in complex models performing difficult tasks. Models will be allowed to train autonomously on the game using mass parallelization to expedite training times with the goal of maximizing reward function scores. …

Machine Learning Approach To Distinguish Ulcerative Colitis And Crohn’S Disease Using Smote (Synthetic Minority Oversampling Technique) Methods, Kris Ghimire, Walter Lai, Yasser Omar, Thad Schwebke, Jamie Vo

SMU Data Science Review

Irritable Bowel Disease (IBD) affects a sizable portion of the US population, causing symptoms such as vomiting, abdominal pain, and diarrhea. Despite the disease’s prevalence, the precise cause is not fully understood. This study consists of endoscopic and histological data from patients diagnosed with IBD and a control population for reference. The machine learning models' focus is to classify patients into IBD types. Several models were analyzed, including decision trees, logistic regression, and k-nearest neighbors. In addition, various methods of SMOTE were applied to determine the most effective transformation and ensuring that the dataset is balanced. The best model with …

Qualitative Leveraging Natural Language Processing To Establish Judge Incrimination Statistics To Educate Voters In Re-Elections, Aurian Ghaemmaghami, Paul Huggins, Grace Lang, Julia Layne, Robert Slater

SMU Data Science Review

The prevalence of data has given consumers the power to make informed choices based off reviews, ratings, and descriptive statistics. However, when a local judge is coming up for re-election there is not any available data that aids voters in making data-driven decision on their vote. Currently court docket data is stored in text or PDFs with very little uniformity. Scaling the collection of this information could prove to be complicated and tiresome. There is a demand for an automated, intelligent system that can extract and organize useful information from the datasets. This paper covers the process of web scraping …

Librarians Don’T Use Google!: Breaking Stereotypes And Myths About Smart Searching, Nora B. Wood, Dhy Edwardsberry

Urban Library Journal

Students often assume that librarians sit with their noses stuck in dusty volumes all day. These same students are typically surprised to learn that many librarians actually work extensively with online resources and are adept at navigating websites and databases to uncover the best information. What comes as even more of a surprise? Learning that librarians rely heavily on Google to conduct thorough and credible research.

In this article, the authors will discuss how they helped break this librarian stereotype and turned the tables on preconceived notions of how to conduct smart research using Google for a group of undergraduate …

Promoting Professional Development Through Appreciative Inquiry: Aiding The Transition Of College Student Employees As Emerging Professionals, Juleane Johnson

M.A. in Higher Education Leadership: Action Research Projects

The purpose of this action research study aimed to identify how to better promote and support the transition as emerging professionals and elevate the professional development capacity of Sixth College Residence Life at the University of California, San Diego. The primary research question guiding these endeavors is: What role do I/our office play in the transition of student employees to emerging professionals? The secondary question is: How can I/our office collaborate to elevate professional development practices and capacity? Research participants took part through virtual interviews, virtual focus groups, and the completion of an online survey. The significance of my efforts …

Florida Frontiers Radio Program #447, Dr. Ben Brotemarkle, Florida Historical Society

Florida Frontiers Radio Transcripts

SEGMENTS | Seminole Cheyenne Kippenberger | Florida Negro Farm Cooperative Extension Service | Groveland Four Exonerated

Digital Pulpit: A Thematic Analysis Of Evangelical Leaders’ Statements On Twitter In The Two Weeks Following The January 6 Capitol Riot, Everett Belle Kirkman

Honors Theses

White evangelicals overwhelmingly supported Donald Trump in the 2016 presidential election. According to the Pew Research Center, 81% voted for him. That support baffled pundits at first but held up throughout his presidency. By the time the 2020 election season was ramping up, White evangelicals who supported Trump held more tightly to their beliefs, many taking to social media to convey their opinions. Since the U.S. Capitol riot on January 6, 2021, over 600 outspoken Trump supporters have been arrested and charged for inciting violence in dispute of election results. This research is a thematic content analysis of the statements …

Kris Brickman, M.D. Interview For The Boonshoft School Of Medicine 50th Anniversary Oral History Project, Kris Brickman, Kristen Dilger

Boonshoft 50th Anniversary Oral History Project

Kristen Dilger interviews Kirs Brickman, a graduate of the Boonshoft School of Medicine and Chief Physician Executive at the University of Toledo at the time of the interview. Part of the class of 1983, Brickman discusses his collegiate career, including why he chose Wright State University's new medical college and talks about what it was like attending the college. He talks about the challenges and processes of attending a new medical college, and how attending the Wright State University Boonshoft School of Medicine assisted him in his early career.

Healthcare Associated Infections: A Benchmark Study, Neal Ziedan

MSN Capstone Projects

When it comes to hospital-acquired infections, whether the hospital has implemented best-practice infection control measures, whether it has introduced best practice infection control measures, or whether it will be held vicariously liable for negligent or intentional failures by staff to follow the infection control measures in place, is the determining factor. If a hospital and its administrators fail to develop or implement best practice infection control methods, resulting in patient harm, they may be held directly liable. Patients may be held vicariously liable if hospital employees fail to comply with infection control measures implemented by the hospital during the course …

Utilization Of Non-Verbal Language In Engine Room Training, Emi Yutaka, Muramatsu Nagisa

International Maritime Lecturers' Association (IMLA) 2021 Joint Conference With IMEC32, ICERS15 and INSLC21

The Engine control room in a vessel is covered with a soundproof wall. Therefore, crews can not communicate with each other with normal voices. Therefore, crews in the engine room communicated with colleagues by hand signals instead of loud voices in the noisy space when there was no control room yet in a vessel. An example of a hand signal that Japanese crews used to use in the past was putting your right hand into your left armpit, which means “measure”. One of the advantages of hand signals is that they are a useful communication tool in such a noisy …

Gsu Hosts Annual Holiday Party, Office Of Marketing And Communications

Newsroom

Governors State University (GSU) celebrated the holidays with its Annual Holiday Party Dec. 10, marking the first time the in-person event was held since 2019.

Growth In Confidence And Search For Belonging: A Case Study Of Muslim Student Experience At An American College, Amir Duric

Muslim Student Life

The broader perception of Muslim Student Association (MSA) in the wider society is not always positive. It is often viewed as a conservative organization where all members need to be a specific type of Muslim to fit in or a political space influenced by a foreign group or ideology. Because of this I studied the group, and my findings challenge this view drawing from the semester-long fieldwork, participant observations, and four in-depth interviews with MSA members at Salt City University (SCU). Data collected shows how the group and its members and the broader Muslim community on campus made Muslim students …

2021-12-10_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays and Fridays.

Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Care) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …

Alumna Returns As New Director Of Dietetics Program, Reese Colaluca

University of Mississippi News

Ellen Ossorio brings energy, experience to help guide students to their career paths

What Does Masculinity Have To Do With It? The Roles Of Fathers In The Socialization Of Children’S Emotions And Emotion Regulation, Kathryn Cherry

Dissertations

Emotion regulation skills are important in a variety of domains throughout the lifespan, including psychological, social, academic, and occupational functioning. Research on children’s emotion regulation skill development often examines the family, exploring caregiver approaches to emotion socialization. However, this research has predominantly been conducted with mothers. Fathering is of particular interest to children’s emotional development for a variety of reasons, including the role of traditional Western masculine norms in gendered differences in emotion expression and regulation techniques. Fathers’ conformity with masculine norms and difficulty with emotion regulation have potential to impact their emotion socialization practices, and therefore relate to their …

Pittsburg State University Commencement, December 2021, Pittsburg State University

Commencement, 1903-Present

Program of undergraduate and graduate commencement exercises at Pittsburg State University on December 10, 2021.