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March 2, 2022 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

Women In Stem Fellowship: An Intersectional And Interdisciplinary Approach To Advancing Inclusion In The Sciences, Ina C. Seethaler, Gabriela Perez-Alvarado

Journal of the South Carolina Academy of Science

At our university, women-identified individuals make up 23% of students in STEM fields; less than 15% of them graduate with a STEM degree. Nationally, more than 40% of women who enter a STEM job leave it within fewer than ten years. Gendered issues within STEM industries have been identified, yet we are far from equal opportunities for all genders. In 2018, we—the director of Women’s and Gender Studies (WGS) with colleagues in Math, Computing Sciences, and Chemistry—received a $45,000 grant to create a “Women in STEM Fellowship.” The inclusion of WGS made the fellowship interdisciplinary, intersectional, and informed our decision-making …

Iseeq: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval And Knowledge Graphs, Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin

Publications

Conversational Information Seeking (CIS) is a relatively new research area within conversational AI that attempts to seek information from end-users in order to understand and satisfy users’ needs. If realized, such a system has far-reaching benefits in the real world; for example, a CIS system can assist clinicians in pre-screening or triaging patients in healthcare. A key open sub-problem in CIS that remains unaddressed in the literature is generating Information Seeking Questions (ISQs) based on a short initial query from the end user. To address this open problem, we propose Information SEEking Question generator (ISEEQ), a novel approach for generating …

Functional Differentiation In The Language Network Revealed By Lesion-Symptom Mapping, William Matchin, Alexandra Basilaskos, Dirk-Bart Den-Ouden, Brielle C. Stark, Gregory Hickok, Julius Fridiksson

Faculty Publications

Theories of language organization in the brain commonly posit that different regions underlie distinct linguistic mechanisms. However, such theories have been criticized on the grounds that many neuroimaging studies of language processing find similar effects across regions. Moreover, condition by region interaction effects, which provide the strongest evidence of functional differentiation between regions, have rarely been offered in support of these theories. Here we address this by using lesion-symptom mapping in three large, partially-overlapping groups of aphasia patients with left hemisphere brain damage due to stroke ( N = 121, N = 92, N = 218). We identified multiple measure …

Family History Of Fxtas Is Associated With Age-Related Cognitive-Linguistic Decline Among Mothers With The Fmr1 Premutation, Jessica Klusek, Amanda Fairchild, Carly Moser, Marsha R. Mailick, Angela John Thurman, Leonard Abbeduto

Faculty Publications

BACKGROUND: Women who carry a premutation allele of the FMR1 gene are at increased vulnerability to an array of age-related symptoms and disorders, including age-related decline in select cognitive skills. However, the risk factors for age-related decline are poorly understood, including the potential role of family history and genetic factors. In other forms of pathological aging, early decline in syntactic complexity is observed and predicts the later onset of neurodegenerative disease. To shed light on the earliest signs of degeneration, the present study characterized longitudinal changes in the syntactic complexity of women with the FMR1 premutation across midlife, and associations …

Discursive Incarceration: Black Fragility In A Divided Public Sphere, Meili Steele

Faculty Publications

The expression of fragility has always been a difficult and complex matter for African Americans, for the discourse of mainstream media is set up to both sustain and misrecognize their fragility . Even though the black public sphere split off from the dominant public sphere after the Civil War to enable distinctive forms of expression, the “practiced habits” of which Coates speaks continued working within the structures of the dominant discourse. My essay will analyze the structure of America’s indifference to fragility in six parts. In the first section, I will introduce a normative problematic that can track how the …

Disaggregating Legislative Intent, Jesse M. Cross

Faculty Publications

In statutory interpretation, theorists have long argued that the U.S. Congress is a “they,” not an “it.” Under this view, Congress is plural and nonhierarchical, and so it is incapable of forming a single, institutional intent. Textualists contend that this vision of Congress means interpreters must move away from concerns about intent altogether, and that they instead should speak in the register of textualism and its associated constitutional values, such as notice and congressional incentivization.

However, even if legislators’ intentions never coalesce into an institutional intent, a disaggregated-intent theory of legislation remains possible. Under this theory, statutes are understood as …

Scamle Journal 2022 Full Volume

South Carolina Association for Middle Level Education Journal

No abstract provided.

Melody And Memory: Black Language In The Low Country, Dywanna Smith, Kenesha Johnson

South Carolina Association for Middle Level Education Journal

Black Language has historically been marginalized as a broken form of Standard English forcing the speakers of this language to conform and devalue their native tongue. This impact has led to a negative stigma on Black Language and forced Black people to relinquish their cultural literacies. This study reflects on understanding why Black Language must be recognized as a legitimate language. It also illustrates why Black Language should be welcomed into the classroom as it provides a pathway to self-actualization affording Black students the opportunity to self-define and self-validate their existence. Special emphasis is placed on how language impacts adolescent …

The Oswald Review Of Undergraduate Research And Criticism In The Discipline Of English: Volume 24, 2022, Douglas Higbee

The Oswald Review: An International Journal of Undergraduate Research and Criticism in the Discipline of English

No abstract provided.

Milton’S Cardinal Directions Symbolism In Paradise Lost, Micah Gill

The Oswald Review: An International Journal of Undergraduate Research and Criticism in the Discipline of English

No abstract provided.

Automated Detection Of Vaping-Related Tweets On Twitter During The 2019 Evali Outbreak Using Machine Learning Classification, Yang Ren, Dezhi Wu, Avineet Singh, Erin Kasson, Ming Huang, Patricia Cavazos-Rehg

Publications

There are increasingly strict regulations surrounding the purchase and use of combustible tobacco products (i.e., cigarettes); simultaneously, the use of other tobacco products, including e-cigarettes (i.e., vaping products), has dramatically increased. However, public attitudes toward vaping vary widely, and the health effects of vaping are still largely unknown. As a popular social media, Twitter contains rich information shared by users about their behaviors and experiences, including opinions on vaping. It is very challenging to identify vaping-related tweets to source useful information manually. In the current study, we proposed to develop a detection model to accurately identify vaping-related tweets using machine …

Knowledge-Infused Reinforcement Learning, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Virtual health agents (VHAs) have received considerable attention, but the early focus has been on collecting data, helping patients follow generic health guidelines, and providing reminders for clinical appointments. While presenting the collected data and frequency of visits to the clinician is useful, further context and personalization are needed for a VHA to interpret and understand what the data means in clinical terms. This has made their use in managing health limited. Such understanding enables patient empowerment and self-appraisal – i.e., aiding the patient in interpreting the data to understand the changes in the patient’s health conditions, and self-management – …

Fostering A Social And Cultural Literacy Classroom Through An Administrator-Teacher Relationship, Khary S. Fletcher

Theses and Dissertations

The purpose of this study was to examine the impact of the social and cultural instructional process on independent reading. In addition, the purpose of this study was to examine the effect of the administrator-teacher relationship on educational practices in a lab site classroom. Using an action research design, data was collected through pre-study and post-study interviews, a Likert-scale questionnaire, lab site meeting journal reflections, lesson implementation journal reflections, observations captured in fieldnotes, and students’ reading logs. Data was collected for a total of seven weeks during a once per week, hour and a half lab site meeting, one non-observed …

The Impact Of A Global Student Teaching Experience On Preservice Teachers’ Global Competence And Commitment To Culturally Responsive Pedagogy, Eileen Burke Heddy

Theses and Dissertations

Teacher educators in the United States often struggle to develop preservice teachers' cultural and global competence. Research has demonstrated international field experiences' great promise for developing these competencies, but most studies gathered data during or immediately after the students' time abroad. In contrast, this sequential mixed-methods case study involved alumni of the Global Student Teaching (GST) program at The College of New Jersey, which allows teacher candidates to complete half of their full-time student teaching semester abroad in English-speaking international schools. The study utilized a 20-item anonymous survey and interviews with five former students who participated in the program between …

A Risk-Averse Mechanism For Suicidality Assessment On Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur

Publications

Recent studies have shown that social media has increasingly become a platform for users to express suicidal thoughts outside traditional clinical settings. With advances in Natural Language Processing strategies, it is now possible to design automated systems to assess suicide risk. However, such systems may generate uncertain predictions, leading to severe consequences. We hence reformulate suicide risk assessment as a selective prioritized prediction problem over the Columbia Suicide Severity Risk Scale (C-SSRS). We propose SASI, a risk-averse and self-aware transformer-based hierarchical attention classifier, augmented to refrain from making uncertain predictions. We show that SASI is able to refrain from 83% …

Ksat: Knowledge-Infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

Publications

Domain-specific language understanding requires integrating multiple pieces of relevant contextual information. For example, we see both suicide and depression related behavior (multiple contexts) in the text “I have a gun and feel pretty bad about my life, and it wouldn’t be the worst thing if I didn’t wake up tomorrow”. Domain specificity in self-attention architectures is handled by fine-tuning on excerpts from relevant domain specific resources (datasets and external knowledge - medical textbook chapters on mental health diagnosis related to suicide and depression). We propose a modified self-attention architecture Knowledge infused Self Attention Transformer (KSAT) that achieves the integration of …

Wise Causal Models: Wisdom Infused Semantics Enhanced Causal Models - A Study In Suicidality Diagnosis, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Sanjay Chandrasekar, Amit Sheth

Publications

The COVID-19 Pandemic has highlighted the gap between the number of mental health care seekers and care providers. Netizens have taken to internet-based platforms such as Reddit to express their experiences. Mental illness diagnosis processes have clinically accepted causal interpretations and semantics. Curiously, mental illness diagnosis accuracy is low relative to similar well-studied illnesses. Motivated by this discrepancy, we propose Wisdom Infused Semantics Enhanced (WISE) causal models, inspired by the wisdom of the crowd idea that learns from a collective agreement among causal models and their semantics for mental illness diagnoses. We use suicidality diagnosis task descriptions, datasets, and baseline …

Introduction: The Alabama Conference On Medieval & Renaissance Scottish Literature: Reframing And Mediation, Tricia A. Mcelroy, David Parkinson

Studies in Scottish Literature

Introduces the broader theme of the 16th International Conference on Medieval & Renaissance Scottish Language and Literature, held at the University of Alabama in 2021, and comments briefly on the four papers that follow.

Douglas Young, Hellenist, Ward Briggs

Studies in Scottish Literature

A reassessment of the Scottish writer Douglas Young's career as classicist, poet, translator, and teacher, tracing the centrality to his achievement of his commitment to Greek literature and classical scholarship.

‘Co-Ainm Na Taca Seo An-Uiridh’: Dugald Macnicol’S Caribbean Lament For Argyll, Nigel Leask, Peadar Ó Muircheartaigh

Studies in Scottish Literature

This article examines a Gaelic song written in 1816 in St. Lucia by a Scottish Gaelic-speaking army officer from Argyll, Dugald MacNicol (1791-1844), sketching MacNicol's life and military career in the Caribbean, in the Royal West Indian Rangers and later in the 1st Royals (Royal Scots Regiment), placing the song in relation to other Gaelic poems of emigration and exile, and printing a newly-edited text of MacNicol's song alongside the authors' English translation.

Protocol For Escitalopram And Language Intervention For Subacute Aphasia (Elisa): A Randomized, Double Blind, Placebo-Controlled Trial, Melissa D. Stockbridge, Julius Fridriksson, Souvik Sen, Leonardo Bonilha

Faculty Publications

In this forthcoming multicenter, prospective, randomized, double-blind placebo-controlled trial, we will investigate the augmentative effects of a selective serotonin reuptake inhibitor, escitalopram, on language therapy in individuals with post-stroke aphasia. We hypothesize that, when combined with language therapy, daily escitalopram will result in greater improvement than placebo in an untrained picture naming task (Philadelphia Naming Test short form) administered one week after the end of language therapy. We also will examine whether escitalopram's effect on language is independent of its effect on depression, varies with lesion location, or is associated with increased functional connectivity within the left hemisphere. Finally, we …

Defining And Detecting Toxicity On Social Media: Context And Knowledge Are Key, Amit Sheth, Valerie Shalin, Ugur Kursuncu

Publications

As the role of online platforms has become increasingly prominent for communication, toxic behaviors, such as cyberbullying and harassment, have been rampant in the last decade. On the other hand, online toxicity is multi-dimensional and sensitive in nature, which makes its detection challenging. As the impact of exposure to online toxicity can lead to serious implications for individuals and communities, reliable models and algorithms are required for detecting and understanding such communications. In this paper We define toxicity to provide a foundation drawing social theories. Then, we provide an approach that identifies multiple dimensions of toxicity and incorporates explicit knowledge …

Isolating The White Matter Circuitry Of The Dorsal Language Stream: Connectome-Symptom Mapping In Stroke Induced Aphasia, Vatche Baboyan, Alexandra Basilaskos, Grigori Yourganov, Chris Rorden, Leonardo Bonilha, Julius Fridiksson, Gregory Hickok

Faculty Publications

The application of �� 1 -regularized machine learning models to high-dimensional connectomes offers a promising methodology to assess clinical-anatomical correlations in humans. Here, we integrate the connectome-based lesion-symptom mapping framework with sparse partial least squares regression (sPLS-R) to isolate elements of the connectome associated with speech repetition deficits. By mapping over 2,500 connections of the structural connectome in a cohort of 71 stroke-induced cases of aphasia presenting with varying left-hemisphere lesions and repetition impairment, sPLS-R was trained on 50 subjects to algorithmically identify connectomic features on the basis of their predictive value. The highest ranking features were subsequently used to …

Writing Skills Development For Graduate Studies And Career Readiness In Science And Aging Fields: A Case Study Approach, Amanda Stafford Mcrell, Betty L. White, Sue E. Levkoff

Faculty and Staff Publications

Increasing the number of racially and ethnically underrepresented students who pursue scientific graduate studies in programs focusing on science and aging offers an opportunity to increase the number of aging specialists while simultaneously promoting diversity in the research labor market and supporting new ideas. This case study aims to better understand how students participating in an academic preparatory program experience a writing class contextualized within (1) students' writing background and (2) students' future ambitions related to science and aging. The individually-tailored writing class was taught as a critical component of a comprehensive educational program that targets underrepresented racial and ethnic …

Language Variation In The Writing Of African American Students: 6 Factors Predicting Reading Achievement, Lisa Fitton Ph.D., Lakeisha Johnson, Carla Wood, Christopher Schatschneider, Sara A. Hart

Faculty Publications

Purpose

This study aims to examine the predictive relation between measures obtained from African American students' written narrative language samples and reading achievement, as measured by standardized academic assessments.

Method

Written language samples were elicited from 207 African American students in Grades 1–8. The samples were examined for morphosyntactic variations from standardized written Generalized American English (GAE). These variations were categorized as either (a) specific to African American English (AAE) or (b) neutral across AAE and standardized written GAE (i.e., considered ungrammatical both in AAE and in standardized written GAE). Structural equation modeling was employed to then examine the predictive …

Revealing Public Opinion Towards Covid-19 Vaccines With Twitter Data In The United States: Spatiotemporal Perspective, Tao Hu, Siqin Wang, Wei Luo, Mengxi Zhang, Xiao Huang, Yingwei Yan, Regina Liu, Kelly Ly, Viraj Kacker, Bing She, Zhenlong Li

Faculty Publications

Background: The COVID-19 pandemic has imposed a large, initially uncontrollable, public health crisis both in the United States and across the world, with experts looking to vaccines as the ultimate mechanism of defense. The development and deployment of COVID-19 vaccines have been rapidly advancing via global efforts. Hence, it is crucial for governments, public health officials, and policy makers to understand public attitudes and opinions towards vaccines, such that effective interventions and educational campaigns can be designed to promote vaccine acceptance.

Objective:The aim of this study was to investigate public opinion and perception on COVID-19 vaccines in the United …

Framing Of And Attention To Covid-19 On Twitter: Thematic Analysis Of Hashtags, Iman Tahamtan, Devendra Potnis, Ehsan Mohammadi, Laura E. Miller, Vandana Singh

Faculty Publications

Background: Although past research has focused on COVID-19–related frames in the news media, such research may not accurately capture and represent the perspectives of people from diverse backgrounds. Additionally, research on the public attention to COVID-19 as reflected through frames on social media is scarce.

Objective: This study identified the frames about the COVID-19 pandemic in the public discourse on Twitter, which voices diverse opinions. This study also investigated the amount of public attention to those frames on Twitter.

Methods: We collected 22 trending hashtags related to COVID-19 in the United States and 694,582 tweets written in English containing these …

October 6, 2021 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

Declaring, Exploring, Instructing, And (Wait For It) Joking: Tonal Variation In Majority Opinions, Lisa A. Eichhorn

Faculty Publications

British literary critic I.A. Richards once defined “tone” as a literary speaker’s attitude toward his or her listener. Borrowing that definition, this article posits that the genre of the majority judicial opinion leaves more room for tonal variation than many scholars have previously theorized. The article first elaborates on the concept of “tone,” distinguishing it from “voice” and “style.” It then reviews the existing scholarship on tone in legal writing and describes the specific dynamics of tone in majority opinions. At that point, the article closely analyzes tonal variation in two 2020 Supreme Court opinions: the majority opinion in Chiafalo …