Social and Behavioral Sciences Commons^™

Developing A Coding System To Record Orofacial Movements For Misophonia With Verification From Physiology Data, Rachel P. Sellers

Senior Theses

My thesis aims to develop and evaluate a facial coding system that can quantify facial movements in the context of misophonia. The system uses binary coding to individually quantify and identify each orofacial movement that occurs independent of other movements or artifacts that could interfere with coding data. The system can be used across multiple coders with statistically significant reliability into how orofacial movements are interpreted. The psychophysiological verification study used electromyography to examine the muscle potentiation of the corrugator supercilii and zygomaticus major muscles to map observable facial movement to underlying muscle potentiation. This facial coding system can be …

Breaking The Cycle: Implementing Journal-Based Emotional Regulation Workshops At South Carolina’S Department Of Juvenile Justice, Sarah Hobson

Senior Theses

Incarcerated youth experience disproportionately high rates of trauma exposure, estimated at 70% to 90%, which significantly impacts emotional regulation and behavior, keeping them in a cycle of repeated offense and increased recidivism rates (Branson et al., 2017). Despite the prevalence of these psychological needs, juvenile justice systems often lack consistent, trauma-informed programming that addresses the underlying causes of delinquent behavior. This study examines the implementation and impact of a structured, eight-week trauma-informed journaling intervention conducted as a pilot program within the South Carolina Department of Juvenile Justice. This program was implemented among a small cohort of participants at the Juvenile …

The Digital Divide: Voter Perceptions In The Age Of Social Media, Molly E. Griffin

Senior Theses

This thesis examines how social media shapes voter perceptions of candidate ideology and economic issues, and how these perceptions influence electoral decision-making. As digital platforms increasingly serve as primary sources of political information, exposure to negative content and patterns such as doom-scrolling can affect voters’ understanding of political realities. The study explores how social media reinforces preexisting beliefs, amplifies stereotypes, and creates echo chambers that shape both perceptions and choices in elections. Using survey data on US senators collected during the 2016, 2018, 2020, and 2022 election cycles, the research investigates the mechanisms by which digital media influence voter behavior. …

Enhancing Undergraduate Learning In Physics: The Effects Of Ai-Assisted And Ai-Guided Instruction On Knowledge, Self-Efficacy, And Satisfaction, Stephen Woods

Doctoral Dissertations and Master's Theses

Generative artificial intelligence (AI) tools such as large language models are increasingly used for self-directed learning, yet there is limited experimental evidence on whether they improve learning outcomes and whether theory-informed guidance adds value beyond AI use alone. Prior literature suggests that effective learning depends not only on access to information, but also on how instruction supports attention, working memory, long-term memory, and cognitive load, while also fostering motivational processes such as self-efficacy. Individual differences such as Need for Cognition may also shape how learners engage with cognitively demanding instructional tools such as AI.

The present study examined how different …

Arrival Is Not Access, Emmanuel Asamoah

School of Art, Art History, and Design: Theses and Student Creative Work

This thesis presents a group of sculptures and installations that explore how material, labor, and communication shape unequal access in diasporic life. It questions the common belief that movement, visibility, or relocation automatically leads to stability, care, or belonging. In my experience, arrival does not guarantee access. Using clay, steel and found materials, I create tension between softness and control. Many of these materials are worn and discarded. I cut and rebuild them, leaving marks of strain and repair visible rather than hiding them.

Repetition appears through rows of cast faces and a collection of telephones. These forms suggest shared …

Optometry Associations And The Free Rider Problem Revisited, Matthew Mullis, Joshua Hall, Edgar Orozco

Graduate Student Scholarship

Members of professional associations pay dues to professional associations for a variety of reasons, including lobbying. This can lead to a free-rider problem if non-members enjoy the benefits without paying. Using 2023 data from 30 states, we revisit earlier work on the free-riding problem by analyzing how continuing education requirements, number of optometrists, benefit salience, and legal services affect membership rates. We find no significant relationship between continuing education hours or total optometrists and membership percentages. We introduce two variables measuring selective incentives: salience of advertised benefits and availability of legal services. Legal services exhibit a negative association with membership …

Social Support And Mental Wellbeing Among Veterinary Clinic Employees, Madison Koons

Undergraduate Honors Thesis Projects

Mental wellbeing is a significant concern for veterinary professionals and the subject of much discussion in the veterinary and academic fields. To determine whether social support is an effective protective factor for the mental wellbeing of veterinary professionals, I administered a survey to 879 veterinary clinics in Ohio, with ninety-two responses received for final analysis. The scales assessed mental wellbeing, organizational support, and nonorganizational support. I found organizational support, friends support, and family support to be positively correlated with mental wellbeing. Significant other support was not correlated with mental wellbeing. A linear regression evaluating social support as predictors of mental …

Weather Rescue At Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships, Praveen Teleti, Ed Hawkins, Clive Wilkinson

Research Collection College of Integrative Studies

Ship logbooks represent a critical source of historical meteorological data, providing valuable observations of barometric pressure, air temperature, sea surface temperature, wind force and direction, and other variables. Substantial quantities of these records are unavailable to climate science as they have not yet been transcribed. We present ‘Weather Rescue at Sea’, a citizen-science project which transcribed millions of weather observations contained in 19th Century UK Royal Navy ship logbooks. We describe the logbook structure and weather observation-taking instructions and discuss significant challenges with the translation of handwritten text into accurate data due to errors arising from ambiguous handwriting, historical terminology, …

Advancing The Understanding Of Palliative Care In Singapore: Knowledge, Attitudes, Receptiveness, And The Moderating Role Of Media Information-Seeking Preferences, Su Lin Yeo, Angel Lee, Raymond Han Lip Ng, May O. Lwin, Yumin Lin

Research Collection Lee Kong Chian School Of Business

Introduction: Despite the growing demand for palliative care, this specialized medical care remains severely underutilized, with almost 50% of countries worldwide lacking access. Given that misperceptions and stigma continue to hinder progress in healthcare policy, this study aims to examine the relationships between palliative care knowledge, attitudes, and receptiveness to better understand how public health communication can enhance awareness and understanding of the topic in Singapore. Applying the adapted knowledge-attitude-practice (KAP) model, it further extends theory by examining the moderating role of media information-seeking between knowledge and receptiveness.Methods: Mixed-mode surveys involving 1,226 participants (926 online and 300 in-person respondents), representing …

Think First, Chatgpt Later: Guiding Human-Ai Collaboration For Learning Gains In Independent Human Creativity, Sarah Shi Hui Wong, Sophia Xuefei Qiu

Research Collection School of Social Sciences

Generative artificial intelligence (AI) tools such as ChatGPT can boost creative performance, but do these boosts translate into learning gains? This study examined whether the benefits of ChatGPT for creativity persist even when its assistance is removed, and how people can effectively use ChatGPT to enhance their learning and independent creativity. University students (N = 196) solved a creative product improvement task either independently (human-only group) or using ChatGPT freely (general-AI group) or using ChatGPT in a guided way (regulated-AI group). Specifically, the regulated-AI group used a novel “think first, ChatGPT later” approach—they first generated their own ideas, then collaborated …

The Citizen And The Smart City: A Global Comparison Of Institutional Logics, Tim Bunnell, Zachary Spicer, Byron Miller, Teresa Abbruzzese, Paolo Cardullo, Sangwon Chae, I-Chun Catherine Chang, Greig Charnock, Ming-Kuang Chung, Kwon Heo, Sue-Ching Jou, Andrew Karvonen, Olga Kordas, Kong, Lily, Ramon Ribera-Fumaz, Haeran Shin, Orlando Woods

Research Collection College of Integrative Studies

Crucial urbanists’ placement of smart city initiatives in Western Europe or North America mostly on the “low” rungs of participatory ladders or scaffolds does not mean that smart urban development necessarily connotes democracy-eroding neoliberalization everywhere. This article offers a more globally variegated and dynamic understanding of the relationship between citizens and smart cities. We apply an institutional logics framework to the citizen-smart city nexus in seven cities spanning three world regions, considering the interplay of citizen-centric logics with techno-innovation-oriented and bureaucratic/managerial logics. Appreciating contextually specific institutional orders helps to explain why similar initiatives and intentions yield different outcomes across time …

High-Resolution Monitoring Of Intra-Seasonal Agricultural Drought Using Sentinel-2 And Machine Learning Across Bimodal Growing Seasons In Kenya, S. Mohammad Mirmazloumi, Harison Kipkulei, Rose Waswa, Tobias Landmann, Tom Dienya, Maximilian Schwarz, Fabrizio Ramoino, Clément Albergel, Gohar Ghazaryan

All Peer-Reviewed Publications

Drought presents significant challenges to agriculture, threatening food security and livelihoods, across many regions. In Kenya, recurrent droughts across diverse agro-ecological zones emphasize the urgent need for reliable and scalable drought assessment methods. Although drought assessment with various datasets has been carried out for this region, many of them often use course or moderate resolution data. This study uses high-resolution Sentinel-2 observations and machine learning to monitor intra-seasonal crop conditions and assess drought impacts across bimodal growing seasons. Using pixel-based supervised random forest models trained with multiple vegetation indices as input, we classify croplands into drought-affected and unaffected areas. The …

Reasoning On Time-Series For Financial Technical Analysis, Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Technical Analysis. This task is challenging as it switches between domains: the stock price inputs and outputs lie in the time-series domain, while the reasoning step should be in natural language. In this work, we introduce Verbal Technical Analysis (VTA), a novel framework that combine verbal and latent reasoning to produce stock time-series forecasts that are both accurate and interpretable. To reason over time-series, we convert stock price data into textual annotations and …

Genuinely Unbalanced Spatial Panel Data Models: Fixed Effects M-Estimation And Inference, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider spatial panel data models with genuine unbalancedness arising from the non-presence of some spatial units in certain time periods. General M-estimation methods are proposed for model estimation, which take into account the estimation of the incidental fixed effects parameters and allow for spatiotemporal heteroskedasticity and high-order time-varying spatial effects. Corrected plug-in methods are proposed for standard error estimation. The proposed estimation and inference methods are rigorously studied for their asymptotic properties and finite sample performance. An application to China’s provincial FDI inflows shows that properly accounting for genuine unbalancedness uncovers significant positive spatial spillovers that are masked when …

Computational Analysis Of Immigration Discourse And Political Polarization: Evidence From U.S. Political Podcasts During The 2024 Presidential Election, Reishiro Kawakami , ‘26

Senior Theses, Projects, and Awards

This study examines how immigration is discussed across the U.S. political podcast ecosystem during the 2024 presidential election cycle, with a focus on differences across the political spectrum. While prior research on immigration attitudes has relied heavily on survey data, this study shifts attention to naturally occurring political communication by analyzing large-scale podcast transcripts. Drawing on a novel dataset of over 48,500 episodes (approximately 40,000 hours of audio) from the top 100 political podcasts ranked on Election Day, this paper combines keyword search, topic modeling, and sentiment analysis to investigate both the thematic structure and emotional tone of immigration discourse. …

Jfl Insider: A Newsletter To Keep You In The Know, Liberty University

Jerry Falwell Library Newsletter

No abstract provided.

Sequencing Dengue Control Policy In Singapore: An Evolutionary Perspective For Policy Design, Ishani Mukherjee, Panchali Guha

Research Collection School of Social Sciences

About half the global population is now at risk of contracting dengue, a mosquito-borne viral infection that can cause severe morbidity and fatalities. Effective dengue control depends on controlling the mosquito vector, but finding the right mix of vector control policies has proved challenging. Using a content analysis of 208 Hansard records from parliamentary proceedings in Singapore, where dengue outbreaks have significantly increased in both frequency and magnitude since the early 1990s, we trace the processual evolution of Singapore’s anti-dengue policy mix from 1960 to 2023 and conclude that the evolution of dengue control policies is consistent with a customized …

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

Unraveling The Intractable Trilemma In Urban Weather And Climate Modeling, Peiyuan Li, Ashish Sharma, Rao Kotamarthi, Alberto Martilli, Subimal Ghosh, Cristina Negri, Scott Collis, Lee Chapman, Fei Chen, Luis M. A. Bettencourt, Winston T. L. Chow

Research Collection College of Integrative Studies

Urban weather and climate modeling is constrained by the highly heterogeneous and dynamic nature of cities. It exhibits a persistent trilemma between spatial granularity, spatiotemporal coverage, and physical interpretability. We articulate this challenge and propose a hybrid framework that integrates physics -based models, urban observations, and machine learning. Framing urban modeling as an integration problem across methods and scales, we provide a structured guide for next -generation, decision -relevant urban climate capabilities.

Precision Or Invasion? Mapping The Personalization Paradox, Shyamala N. Chalakudi, Gnana Bharathy

Journal of Applied Marketing Theory

AI-driven personalization has transformed consumer engagement, yet existing research offers no systematic way to determine when personalization shifts from helpful to intrusive. Current research and models explain privacy concerns or expectancy violations but do not measure the point at which personalization triggers user discomfort, creating the personalization paradox. This study introduces the Discomfort Threshold Assessment & Measurement (DTAM) framework, a conceptual model that identifies and evaluates this threshold by integrating Dual Process Theory, Expectation Violation Theory, and Privacy Calculus Theory. DTAM distinguishes between affective discomfort reactance and cognitive discomfort reactance and outlines how these constructs could, in future empirical studies, …

A Market Of Care Skills: Profiting From Professional Education And Practice, Yasmin Y. Ortiga

Research Collection School of Social Sciences

Who profits from the commodification of care and how does such accumulation occur? Focusing on the case of the nursing care market, this paper shows how professional schools and local hospitals within source nations like the Philippines profit from nurses seeking the credentials to qualify for jobs overseas. While existing studies show how nursing skills are exploited and undervalued, this paper argues that it is the process of skilling itself that allows for the accumulation of profit, regardless of whether nurses leave their origin countries to work abroad. This study reveals how global care economies are tightly linked to local …

Examining The Well-Being And Ill-Being Correlates Of Prioritizing Positivity And Investigating Ses As A Moderator, Lahnna I. Catalino, William Tov, Madeline Q. Hoorn

Research Collection School of Social Sciences

Prioritizing positivity is the tendency to use positive emotions as a key criterion to structure daily life. Research shows that prioritizing positivity is associated with better psychological health. However, none of this research was preregistered and prioritizing positivity’s links with ill-being remain understudied. In five preregistered studies (Sample A: n = 388, Sample B: n = 214, Sample C: n = 301, Sample D: n = 290, Sample E: n = 453), we found that prioritizing positivity was associated with more well-being (positive emotions, satisfaction, meaning), less ill-being (negative emotions, depressive symptoms, anxiety), and more hypomania, a mixed construct. We …

Exploring The Effect Of Counterstereotype And Perspective Taking In Reducing Bias And Promoting Empathy In Police, Sydney C. Timmer-Murillo, Keara Kangas, Nakia Gordon

Psychology Faculty Research and Publications

Racism in policing continues to be a serious issue in the United States (U.S.). While most efforts to reduce racism, focus on changing implicit (i.e., nonconscious) racial biases, other factors may also influence behavior. Intergroup emotion theory posits that emotions, especially empathy, may play a powerful role in changing behavior. In this study, using community-based participatory research design we created and tested a virtual reality (VR) experience designed to reduce implicit racial bias through perspective taking and counter-stereotypical information. Fifty-six police officers from a large city took part in the study. They completed questionnaires and an implicit association task (IAT) …

The Anchor: April 2026, Hope College

The Anchor: 2026

The Anchor began in 1887 and was first issued weekly in 1914. Covering national and campus news alike, Hope College’s student-run newspaper has grown over the years to encompass over two-dozen editors, reporters, and staff. For much of The Anchor's history, the latest issue was distributed across campus each Wednesday throughout the academic school year (with few exceptions). In recent years The Anchor moved to monthly print issues and a more frequently updated website. The Anchor is now published in print twice per academic semester. Occasionally, the volume and/or issue numbering is irregular.

Promoting Methane Reductions Through Behavioural Nudges And Informational Boosts: A Field Choice Experiment In Japanese Rice Farming, Shengyi Du, Katsuya Tanaka, Hiroki Sasaki, Tetsuya Horie, Shinya Horie

Center for Public Service Publications and Reports

Agricultural methane emissions represent a significant contributor to global climate change, with irrigated rice cultivation beingone of the primary sources. Despite the availability of effective mitigation technologies, their adoption often remains limited dueto behavioural and institutional constraints. Water management practice that extends drainage periods during cultivation cancurb methane emissions from irrigated rice at low cost, yet uptake among Japanese farmers remains modest. We surveyed 2219rice producers in Shiga Prefecture using a labelled choice experiment that embedded two behavioural nudges (social norm andloss aversion) and one informational boost (knowledge enhancement), presented with or without a reminder. Farmers most fa-voured a 7-day …

The Annual Daf Report 2025: Updated Analysis Memo, H. Daniel Heist, Danielle Vance-Mcmullen, Jeff Williams, Genevieve G. Shaker, Rachel M. Sumsion

Research, Reports, and Publications

No abstract provided.

What We Hear Shapes What We Fear: Public Discourse As A Determinant Of Health, Amanda L. Almond

Open Educational Resources

This resource presents a structured assignment designed for undergraduate health psychology and interdisciplinary courses. Students systematically collect and analyze public discourse as a determinant of health using a shared dataset, followed by instructor-led synthesis and application of scientific reasoning.

The assignment emphasizes mechanism-based explanation, including how communication environments shape stress, perception, and health behavior. A second phase explicitly integrates the scientific method, guiding students to evaluate claims, distinguish correlation from causation, and consider what evidence would be required to test observed patterns.

This assignment was developed and implemented in a Hispanic-Serving Institution during Spring 2026, in response to real-time conditions …

Dairy Cows And Doughnut Holes: The Class Politics Of Municipal Boundaries And Logistics Land Use In Inland Southern California, Anthony Rumbos-Perez , ‘26

Senior Theses, Projects, and Awards

No abstract provided.

Transforming Wood, Transforming Bodies: Craft Work, Addiction Recovery, And Regional History At An Appalachian Guitar Factory, Eva Murillo , ‘26

Senior Theses, Projects, and Awards

No abstract provided.

A Medical Home: How Pediatrics Challenges Systemic Barriers Through Relationships And Time., Doris Serrano , ‘26

Senior Theses, Projects, and Awards

No abstract provided.