Social and Behavioral Sciences Commons^™

Business Communication And Editing Students’ Evaluations Of Written Error: An Eye-Tracking Study, Matt Baker, Grant Eck, Ana Barraza, Benjamin Duffield

Faculty Publications

Using eye-tracking and interview methods, this study investigates how business communication students and editing students attend to and evaluate writing. Participants reviewed blog posts embedded with errors and judged publication readiness. While both groups visually fixated longer on errors than non-errors, business communication students were more likely to approve error-containing texts for publication. Qualitative data revealed that business communication students prioritized content while editing students prioritized surface-level issues. These findings suggest that disciplinary background informs evaluative standards, even when error-detection behavior is similar. The results carry implications for instruction in business writing and editing, especially concerning collaborative, cross-disciplinary workplace writing.

Ward 5 Asset Mapping Report, Molly Schnoke, Kristen A. Blazek, Jack Yochum, Erika Shinn

All Maxine Goodman Levin School of Urban Affairs Publications

The Center for Economic Development at the Levin College of Public Affairs and Education, Cleveland State University was contracted by Cleveland City Councilperson Richard Starr to provide an accounting of assets and strengths in Cleveland’s Ward 5. The research team conducted interviews with stakeholders throughout the Ward, spoke to residents at community meetings, and conducted a survey of residents to better understand what challenges and opportunities residents and stakeholders felt were important for consideration in the planning of new projects and programs, support for existing services, and to provide guidance to the Councilperson for resource and funding considerations. This work …

Debating Justice, Tom Rozinski

Open Touro Created

2025

This book introduces students to a modified form of Lincoln-Douglas debate that is suitable for use in college philosophy or political science courses. Students will learn how to make good arguments and identify bad ones. They will learn how to structure the affirmative and negative cases in debate and the specific duties of each speech in the debate. There is also a section on preparing for, conducting, and defending against cross-examination. Students learn about four value systems to use in their debates: utilitarianism, libertarianism, Kantian justice, and Rawlsian justice. The text includes two full debates to illustrate how students …

Factors Contributing To Fatalities In Helicopter Emergency Medical Service Accidents, Jenna Korentsides, Joseph R. Keebler, Mihhail Berezovski, Alex Chaparro

Publications

INTRODUCTION: T his study aimed to update and reinforce previous research on helicopter emergency medical service accidents in the United States. By investigating predictors of fatalities after helicopter emergency medical service crashes through the application of machine learning techniques, we updated existing data sets and sought to uncover patterns that traditional analysis might not reveal.

METHODS: Using the National Transportation Safety Board database, the authors analyzed a dataset of 267 helicopter emergency medical service accidents between 1991–2022. We first calculated fatalities odds ratios for each condition. We then plotted geospatial locations of all reported accidents. Finally, we used XGBoost regression …

Characterizing Language Use In Online Accessibility Discussion Forums, Nithiya Venkatraman, Anand Ravi Aiyer, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Discussion forums are one of the favored platforms for knowledge sharing. Given their popularity, copious research exists on understanding the linguistic and behavioral characteristics of forum conversations, so as to inform the design of many downstream applications including discourse visualization, sentiment analysis, and question answering. However, prior investigations have mainly focused on general forums designed primarily for sighted users, and as such the applicability of their findings to dedicated accessibility discussion forums frequented by blind screen reader users remains unanswered. To bridge this knowledge gap and facilitate the development of better-informed assistive technologies for blind people, we investigated language use …

Foundation Models In Bioinformatics, Fei Guo, Renchu Guan, Yaohang Li, Qi Liu, Xiaowo Wang, Can Yang, Jianxin Wang

Computer Science Faculty Publications

With the adoption of foundation models (FMs), artificial intelligence (AI) has become increasingly significant in bioinformatics and has successfully addressed many historical challenges, such as pre-training frameworks, model evaluation and interpretability. FMs demonstrate notable proficiency in managing large-scale, unlabeled datasets, because experimental procedures are costly and labor intensive. In various downstream tasks, FMs have consistently achieved noteworthy results, demonstrating high levels of accuracy in representing biological entities. A new era in computational biology has been ushered in by the application of FMs, focusing on both general and specific biological issues. In this review, we introduce recent advancements in bioinformatics FMs …

An Analytical Review Of Preprocessing Techniques In Bengali Natural Language Processing, Sovon Chakraborty, Protiva Das, Shakib Mahmud Dipto, Md Aktaruzzaman Pramanik, Jannatun Noor

Computer Science Faculty Publications

Research in Bengali Natural Language Processing (BNLP) is rapidly expanding. Despite being one of the most widely spoken languages in the world, BNLP research remains insufficient, particularly in Bengali speech recognition. The languages rich morphology, agglutinative structure, and diverse dialects make text and speech processing especially challenging. However, these challenges can be addressed with effective preprocessing techniques. Various organizations in Bangladesh and West Bengal are integrating Natural Language Processing (NLP) into their services, but without a thorough understanding of preprocessing, these implementations remain incomplete. Applying proper preprocessing techniques to the Bengali language will serve as a foundation for developing robust …

Not Here, Go There: Analyzing Redirection Patterns On The Web, Kritika Garg, Sawood Alam, Dietrich Ayala, Michele C. Weigle, Michael L. Nelson

Computer Science Faculty Publications

URI redirections are integral to web management, supporting structural changes, SEO optimization, and security. However, their complexities affect usability, SEO performance, and digital preservation. This study analyzed 11 million unique redirecting URIs, following redirections up to 10 hops per URI, to uncover patterns and implications of redirection practices. Our findings revealed that 50% of the URIs terminated successfully, while 50% resulted in errors, including 0.06% exceeding 10 hops. Canonical redirects, such as HTTP to HTTPS transitions, were prevalent, reflecting adherence to SEO best practices. Non-canonical redirects, often involving domain or path changes, highlighted significant web migrations, rebranding, and security risks. …

Position: Benchmarking Is Broken - Don't Let Ai Be Its Own Judge, Zerui Cheng, Stella Wohnig, Ruchika Gupta, Samiul Alam, Tassallah Abdullahi, João Alves Ribeiro, Christian Nielsen-Garcia, Saif Mir, Siran Li, Jason Orender, Seyed Ali Bahrainian, Daniel Kirste, Aaron Gokaslan, Carsten Eickhoff, Pramod Viswanath, Ruben Wolff

Computer Science Faculty Publications

The meteoric rise of Artificial Intelligence (AI), with its rapidly expanding market capitalization, presents both transformative opportunities and critical challenges. Chief among these is the urgent need for a new, unified paradigm for trustworthy evaluation, as current benchmarks increasingly reveal critical vulnerabilities. Issues like data contamination and selective reporting by model developers fuel hype, while inadequate data quality control can lead to biased evaluations that, even if unintentionally, may favor specific approaches. As a flood of participants enters the AI space, this "Wild West" of assessment makes distinguishing genuine progress from exaggerated claims exceptionally difficult. Such ambiguity blurs scientific signals …

The Invisible Influencer In Information Infrastructure, Herbert Van De Sompel, Michael L. Nelson

Computer Science Faculty Publications

The UPS Prototype was a proof-of-concept web portal built in preparation for the Universal Preprint Service Meeting held in October 1999 in Santa Fe, New Mexico. The portal provided search functionality for a set of metadata records that had been aggregated from a range of repositories that hosted preprints, working papers, and technical reports. Every search result was overlaid with a dynamically generated menu, called an SFX-menu, that provided a selection of value-adding links for the described scholarly work. The meeting eventually led to the Open Archives Initiative and its Protocol for Metadata Harvesting (OAI-PMH), which remains widely used in …

Github Repository Complexity Leads To Diminished Web Archive Availability, David Calano, Michael Nelson, Michele Weigle

Computer Science Faculty Publications

Software is often developed using versioned controlled software, such as Git, and hosted on centralized Web hosts, such as GitHub and GitLab. These Web hosted software repositories are made available to users in the form of traditional HTML Web pages for each source file and directory, as well as a presentational home page and various descriptive pages. We examined more than 12,000 Web hosted Git repository project home pages, primarily from GitHub, to measure how well their presentational components are preserved in the Internet Archive, as well as the source trees of the collected GitHub repositories to assess the extent …

Human Perception Of Ai Capabilities At Classifying Perturbed Roadway Signs, Katherine R. Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu

Computer Science Faculty Publications

Artificial Intelligence (AI) is crucial to numerous functions required for driving automation systems, including the computer vision techniques used to detect the roadway environment and make real-time decisions. However, the images used as inputs to the AI system may be maliciously perturbed, or manipulated, causing the AI system to make an incorrect classification. In this study, we examined humans’ perception of the AI’s computer vision capability of classifying various road sign images, including the original images, images with two different types of malicious attacks, and images that are scrambled randomly at the pixel level. Our results showed that participants rated …

Uncertainty-Aware Deep Learning Framework For Forecasting Coastal Water Level In Virginia Beach, Md Mahmudul Hasan, Malachi Schram, Sridhar Katragadda, Diana Mcspadden, Alisa N. Udomvisawakul, Heather Richter, Frank Liu

Computer Science Faculty Publications

Coastal areas like Virginia Beach, USA, are increasingly vulnerable to flooding. To mitigate the impact of flooding, it is crucial for the City of Virginia Beach to have reliable 72-hour-ahead (3 days) forecasts of water levels at key gauge locations. To support this effort, several sensors have been installed throughout the city to monitor water levels and other environmental parameters such as wind speed, precipitation, and atmospheric pressure. Leveraging sensor data from one of these locations, we developed an uncertainty-aware deep learning model to forecast water levels. We employed deep quantile regression (DQR) to quantify variability in the predictions and …

A Real-Time Approach To Capture Ambient And Focal Attention In Visual Search, Gavindya Jayawardena, Yasith Jayawardana, Yasasi Abeysinghe, Bhanuka Mahanama, Sampath Jayarathna, Jacek Gwizdka

Computer Science Faculty Publications

During visual search, individuals’ attention shifts between ambient and focal states in response to task demands and stimuli. The ambient/focal coefficient K is a statistically validated measure of these states, computed offline from fixation duration and saccade amplitude data. While current methods compute K offline, real-time computation could enable applications such as monitoring user attention, creating attention-adaptive user interfaces, and optimizing graphics rendering. However, real-time computation of K requires stable estimates for the parameters of fixation duration and saccade amplitude distributions. Since these distributions are heavy-tailed, the real-time estimates exhibit high variance and slow convergence. To overcome this, we propose …

A Bibliographic And Topic Modeling Analysis Of The P-Adic Theory Literature Using Latent Dirichlet Allocation, Humberto Llinás, Ismael Gutiérrez, Anselmo Torresblanca, Javier De La Hoz, Brian Llinás

Computer Science Faculty Publications

P-adic analysis, introduced by Kurt Hensel in the early 20th century, has developed into a fundamental area of mathematical research with broad applications in number theory, algebraic geometry, and mathematical physics. This study aims to examine the thematic evolution and scholarly impact of p-adic research through a comprehensive topic modeling and bibliometric analysis. Using classical bibliometric techniques (e.g., performance analysis, co-authorship, and co-citation networks) combined with Latent Dirichlet Allocation (LDA), we analyzed 7388 peer-reviewed documents published between 1965 and 2024. The computational workflow was conducted using R (version 4.4.1) and VOSviewer (version 1.6.20), which enabled the identification of 20 distinct …

From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

Can Llms Beat Humans On Discerning Human-Written And Llm-Generated Science News, Dominik Soós, Meng Jiang, Jian Wu

Computer Science Faculty Publications

Science news is increasingly important in connecting scientists and the public by sharing discoveries and innovations. With the rise of large language models (LLMs), there is potential to automate science news creation, but concerns exist about the quality of LLM-generated news versus human-written news. This paper explores whether LLMs can outperform humans in distinguishing between human-written and LLM-generated news. Inspired by the Chain-of-Thought prompting method, we designed a simple yet effective variant called Guided Few-shot (GFS), which encodes the characteristics of news of two types with examples. Our experiments indicated that GFS with just a single example effectively boosted the …

Coming Back Differently: An Exploratory Case Study Of Near Death Experiences Of Webpages, Lesley Frew, Michael L. Nelson, Michele Weigle

Computer Science Faculty Publications

In this case study, we use web archives to analyze 8,824 webpages that were taken offline and subsequently put back online, thus experiencing a “near death experience.” We enumerate the stages of a webpage’s near death experience, including the change from a successful HTTP status code to non-successful and back, the intermediate stage with markers such as an under construction banner, and an analysis of how the pages came back differently.

From Philosophy To Nlu: Evolving Definitions Of Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

Humans Vs. Llms On Open Domain Scientific Claim Verification: A Baseline Study, Benjamin Curtis, Stefania Dzhaman, Matthew Maisonave, Jian Wu

Computer Science Faculty Publications

Verifying scientific claims is challenging for the general public because most people lack domain knowledge. Manual verification by subject domain experts is accurate, but it is obviously not scalable to meet the rising number of scientific claims on the Web. Whether the emerging large language models and large reasoning models can be used for scientific claim verification, and how their performances compare to humans, are still research questions. To this end, we developed a new benchmark MSVEC2 that consists of 138 claims from credible fact verification websites and science news outlets. Two tasks were given to both human and LLM …

Self-Awareness And Self-Efficacy In The Novice Professional Phase Of Marriage And Family Therapists After Person Of The Therapist Training, A Comparative Survey, Rubio Betsabé

Dissertations

The study focuses on examining the influence of person-of-the-therapist or self-of-the-therapist training on therapists’ self-reports of self-awareness (as a conscious awareness of one’s internal states and interactions with others) and self-efficacy (perceived beliefs in personal capabilities to perform in ways that give control over events that affect their lives) at the novice professional stage of their career. The study will examine the experiences reported by mental health providers actively providing clinical care by utilizing a survey design focusing on person of the therapist connecting through alumni lists and online solicitation. This research adds to the current literature by using a …

What Works In Telehealth Play Therapy? An Appreciative Heuristic Inquiry, Veronica Ann Ball

Dissertations

With the onset of coronavirus disease 2019 (COVID-19) in the United States in March 2020 (World Health Organization, 2020), professional counselors providing traditional in-person play therapy found themselves in a quandary regarding the delivery of services during a global pandemic (Evans, 2022; Mitchell, 2020; Whaibeh et al., 2020). Online counseling proffered a means to prevent the disruption of services, respond to the need for emerging counseling services, and comply with social restrictions (Evans, 2022). Prior to the pandemic, telehealth play therapy was used sparingly (Haslam & Harris, 2011; Smith et al., 2021), and many child-serving mental health professionals lacked training …

What About The Children? An Exploration Of Family Counselors' Play Therapy Training And Preparedness To Integrate Children Into Family Counseling, Patricia J. Walker Monical

Dissertations

Children are an important part of families, yet family counselor education programs often do not incorporate training for including children in family counseling. At some point in their careers, family counselors and therapists will encounter clients who have children 3–12 years old. The problem is that since these professionals often receive little to no training in play therapy and thus do not typically include young children in family therapy, these younger family members are often overlooked. Research has confirmed that, due to a lack of sufficient training and supervision in play therapy, many family therapists report feeling unprepared to work …

The Effects Of A Spiritually Intergrated Trauma Healing Program On Ptsd Symptoms And Spiritual Well-Being In Nigeria, Emily Hervey

Faculty Publications - Doctor of Psychology (PsyD) Program

Post-traumatic stress disorder (PTSD) has been identified as a significant concern worldwide, but very few spiritually oriented programs to address trauma have been tested in low to middle-income countries. This study evaluated the effectiveness of a faith-based, community-centered program in reducing PTSD symptoms and enhancing spiritual well-being. The program is designed for the participants’ well-being, while also equipping them to help their community in a form of task sharing. A total of 98 Nigerians participated in six five-day workshops, half in the capital city and half in areas farther north, where conflict was more common. The Posttraumatic Stress Disorder Checklist …

Natural Disasters, Psychosocial Distress, Psychological Flexibility, And Satisfaction With Life, Rodger K. Bufford, Javeen Skoubo, Kenneth Logan, Aundrea Paxton

Faculty Publications - Doctor of Psychology (PsyD) Program

Although common, natural disasters (NDs) remain little studied, and their aggregate psychological impact is unknown. No aggregate measure of ND exposure could be located. This study reports the development and preliminary validation of the Natural Disaster Scale (NDS). In a sample of 131 US adults, disaster exposure was measured for NDs, for childhood and adult human disasters, for psychological flexibility, and for social support. Criteria included general distress, simple and complex PTSD, and life satisfaction. The NDS showed good internal consistency. Eleven of thirteen items loaded on a single factor. After controlling demographic factors, social support, and psychological flexibility, the …

Bibliometric And Visualisation Analysis Of Biomass Burning Research In Thailand (1997-2024), Weerachon Sawangproh, Arika Bridhikitti

Applied Environmental Research

Biomass burning is a major driver of air pollution and climate-related impacts in Thailand, but a national-level synthesis of research efforts is lacking. This study conducts a comprehensive bibliometric and qualitative review of 256 peer-reviewed publications from 1997–2024, using Scopus-indexeddata to explore research trends, thematic patterns, and existing gaps. The analysis reveals a strong emphasis on atmospheric chemistry, air quality modeling, and remote sensing, which collectively account for more than 60% of the research landscape.Studies frequently focus on pollutants such as PM2.5,PAHs, carbon monoxide, and heavy metals, with biomass burning identified as a dominant source, especiallyduring the dry season in …

Quantifying Biodiversity In The Absence Of Taxonomic Data: A Study Of Thailand’S Economic Development Zones, Nikorn Mahawan, Wanpen Charoentrakulpeeti

Applied Environmental Research

The biodiversity status measures the ecological capacity of a given area. However, biodiversity assessments in developing countries are limited by the absence of taxonomic data on plants and animals. By developing methods to evaluate biodiversity via alternative data, it is now possible to quantify the ecological carrying capacity in areas where taxonomic data are lacking. The relationship between forest ecosystem health and biodiversity values can be used to estimate biodiversity values by considering the proportions of different land use types that are associated with forest ecosystem abundance. The biodiversity value of the area can be assessed by adding the abundance …

Low-Temperature Catalytic Oxidation Of White Spirit Vapor In Air By Binary Oxides Of Feo-Mnox Supported On Oms-2 Material, Ngo Quoc Nguyen, Pham Duy Quang, Nguyen Ha Nhu, Le Thi Van Anh, Nguyen Thi Thuy, Vo Thanh Hang, Le Van Thang, Nguyen Thi Le Lien, Nguyen Trung Thanh, Nguyen Nhat Huy

Applied Environmental Research

In this work, catalysts of iron and manganese oxides supported on OMS-2 were prepared and applied to remove white spirit (WS) in air. Among the fabricated catalysts, the FeO-MnOx/OMS-2 catalyst with a surface Fe+Mn loading of 15% (Fe:Mn = 6:4) exhibited the highest catalytic performance, achieving a high WS removal efficiency of 97.91% at 200 °C. The catalyst retained the cryptomelane-type tunnel structure of OMS-2 and possessed enhanced redox activity due to the synergistic interaction between surface Fe and Mn species. The physico-chemical properties were characterized via BET, EDS, FTIR, XRD, and SEM. The suitable conditions for WS oxidation were …

Spatial And Temporal Dynamics Of Water Use Efficiency And Climate Influence In The Central Highlands Of Vietnam Via Satellite Time Series, Thi Nguyen Quang, Hoang Van Hung

Applied Environmental Research

This study investigates the spatial and temporal patterns of water use efficiency (WUE) anomalies across the Central Highlands of Vietnam from 2001–2024 via MODIS time series data, with a focus on seasonal differences and climatic drivers. The results revealed pronounced interannual and spatial variability in the WUE, with significant improvements observed during 2004, 2015, and 2021–2024 and substantial declines during 2005–2008, 2010–2013, and 2016–2017, which coincided with major drought events in the region. Seasonal analysis indicated that WUE was lower during the early dry season and peaked during the postmonsoon months (October–November), reflecting the interplay between water availability and vegetation …

Using A Water Quality Index To Assess The Impacts Of Heavy Metals Contamination For Sustainable Water Management: A Case Study Of The Bang Pakong River, Thailand, Khin Yadana Soe, Pokchat Chutivisut, Wilailuk Niyommaneerat

Applied Environmental Research

Anthropogenic activities such as improper waste disposal, excessive fertilizer use, and industrial effluents cause heavy metal contamination in water, soil, and the atmosphere. Herein, the water quality index (WQI) was used to characterize heavy metal (i.e., cadmium (Cd), arsenic (As), and mercury (Hg)) contamination in the Bang Pakong River, Thailand. Specifically, water samples were collected during the dry season from four stations along the river from 2012–2022. The heavy metal concentrations in the samples were analyzed via atomic absorption spectrophotometry, and WQI values were calculated on the basis of standard water quality parameters. At the four sampling stations, high As …