Digital Commons Network^™

The Pluralistic Natural Capital Values Of A Tropical City, Adrienne Grêt-Regamey, Justine Saunders, Peter Edwards, Daniel Richards, Jahson I. Alemu, Natasha Bhatia, Roman Carrasco, Zuzana Drillet, Tze Kwan Fung, Yan Feng Leon Gaw, Wanggi Jaung, Andrea Law, Rachel Ai Ting Leong, Aikeen Youu Ming Lim, Mahyar Masoudi, Yudhishthra Nathan, Rachel Rui Ying Oh, Wen Ting Ooi, Fairul Edros Ahmad Shaikh Shaikh, Xiao Ping Song, Claudia L.Y. Tan, Puay Yok Tan, Sergio Wicki, Lynn-Wei Wong, Yanyun Yan, Erik Yando, Alex Thiam Koon Yee, Jingyuan Zhang, Daniel A. Friess

Biological Sciences Faculty Publications

Nature in cities is essential for human well-being. Quantifying and valuing the goods and services provided by nature to city dwellers is missing in tropical contexts. Yet, as cities worldwide face similar challenges, understanding the services provided by tropical urban ecosystems becomes imperative for effective management. Here, we present the first Natural Capital Assessment of a tropical city, unveiling three critical insights. Firstly, we demonstrate the vital reliance of a developed tropical city on nature, particularly for climate change mitigation through regulating services. Secondly, we identify intact natural areas as Singapore’s most valuable assets, stressing the significance of the quality …

Low Salinities Impair Heat Tolerance And Alter Reproductive Traits With No Implications For Survival In A Marine Annelid From Coastal Habitats, Gabrielle Newton, Gloria Massamba-N'Siala

Biological Sciences Faculty Publications

Climate change is expected to intensify salinity and temperature fluctuations in estuarine and coastal habitats. However, the impact of salinity variation on ectotherms’ thermal tolerance remains underexplored, limiting our understanding of the interplay between these stressors. This study investigated salinity-dependent changes in life history traits (survival, growth rate, fecundity, and egg size) over a 33-day exposure to a salinity gradient (12, 17, 22, 27, 32, 35, 40, 45, 50) in the marine annelid Ophryotrocha labronica. Individuals that survived the salinity treatments were assessed for their upper and lower thermal tolerance limits. Female individuals, the target of the study, exhibited …

Hair Growth Rate Estimation In North American Ursids, Jennifer H. Stern, Karyn D. Rode, Craig A. Stricker, Sheriden Ploof, Cindy L. J. Roberts, Celess Edinger, Mary Humbyrd, Nate Wagner, Megan A. Owen, John P. Whiteman, Thea Bechshoft, Brent White, Kristin L. Laidre

Biological Sciences Faculty Publications

The feeding ecology of wildlife populations has important implications for individual health, population productivity and distribution patterns. For ursids (bears), food resources and feeding behaviour primarily affect population dynamics via effects on cub production and survival. Much of what is known about the feeding ecology of bears is based on analyses of tissues collected from capture-based research efforts, harvested animals or non-invasive approaches. However, inference about diet from hair has been limited by a lack of quantitative data on the timing of the moult and hair growth rates. We conducted a study to develop and test two methods of quantifying …

Investigations Of Conjugate Heat Transfer And Fluid Flow In Partitioned Porous Cavity Using Darcy-Forchheimer Model: Finite Element-Based Computations, Nasir Yasin, Shafee Ahmad, Muhammad Umair, Zahir Shah, Narcisa Vrinceanu, Ghadah Alhawael

Mathematics & Statistics Faculty Publications

The conjugate heat transfer and fluid flow has vast applications in thermal engineering, particularly for cooling in thermal devices, and automobile engines. This study investigates conjugate heat transfer in 2D enclosures, featuring thin solid fins attached to a porous bottom wall. The porous medium is considered isotropic and homogeneous by the Darcy-Forchheimer model, with fluid phases in local thermal equilibrium. The boundary conditions at the porous fluid interface ensure continuity of the velocities, stresses, temperature, and heat flux. The phenomenon is mathematically modelled by obtaining a set of partial differential equations. The finite element method (FEM) is used to perform …

The Sisu Of It All: Authentic Application Of Vital Skills, Samantha Hull

STEMPS Faculty Publications

The article focuses on the integration of multiliteracy and media literacy within the Finnish education system and the role of school librarians in supporting this initiative. Multiliteracy is defined as the ability to obtain, combine, modify, produce, present, and evaluate information across various contexts and tools, fostering critical thinking and learning skills. The Finnish national curriculum emphasizes collaboration between classroom teachers and librarians to enhance educational experiences, with public libraries serving as vital partners in promoting lifelong learning. The article highlights the importance of creating authentic learning environments where students can practice real-world skills, ultimately preparing them to be engaged …

Differences In Motivation For Biology Learning: A Measurement Invariance Testing And Latent Mean Comparison Approach, Ting Dai, Kuan Xing, Avi Kaplan, Jennifer G. Cromley, Kyle R. Mara, Tony Perez

STEMPS Faculty Publications

Educational and psychological research often involves comparing motivation across groups. It is critical to ensure that observed differences in motivation are true variations by group, not due to measurement biases. With a diverse sample of undergraduate students (N = 2200), this study measured internal consistency and gathered validity evidence based on the internal structure of five motivation scales. To compare motivation for biology between groups of undergraduate students, this study tested for measurement scalar invariance by group and, accordingly, conducted latent factor mean comparisons to understand true group differences. On average, female students held lower expectancy beliefs and self-efficacy …

Editorial: Ai's Impact On Higher Education: Transforming Research, Teaching, And Learning, Alyse Jordan, Ashley L. Dockens, Natalia Anastasia Pierson, Xinyue Ren

STEMPS Faculty Publications

[Introduction] This Research Topic provides a comprehensive examination of how artificial intelligence (AI) is transforming higher education. The collected studies reveal several interconnected themes that illuminate both the opportunities and challenges of AI integration in academic settings. This editorial summarizes these themes and articulates their significance for the future of higher education.

Integrating Satellite-Based Precipitation Analysis: A Case Study In Norfolk, Virginia, Imiya M. Chathuranika, Dalya Ismael

Engineering Technology Faculty Publications

In many developing cities, the scarcity of adequate observed precipitation stations, due to constraints such as limited space, urban growth, and maintenance challenges, compromises data reliability. This study explores the use of satellite-based precipitation products (SbPPs) as a solution to supplement missing data over the long term, thereby enabling more accurate environmental analysis and decision-making. Specifically, the effectiveness of SbPPs in Norfolk, Virginia, is assessed by comparing them with observed precipitation data from Norfolk International Airport (NIA) using common bias adjustment methods. The study applies three different methods to correct biases caused by sensor limitations and calibration discrepancies and then …

A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu

Engineering Technology Faculty Publications

The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …

Integrating Sustainable Practices Into Lean Engineering: Applying The Engineering For One Planet Framework In Manufacturing Engineering Technology Education, Dalya Ismael, Vukica M. Jovanovic, Murat Kuzlu, Charles Lowe, Lisa Bosman

Engineering Technology Faculty Publications

A growing number of manufacturers are recognizing significant financial and environmental benefits from adopting sustainable business practices. Sustainable manufacturing refers to the production of goods through processes that are economically sound, minimize environmental impact, and conserve energy and natural resources. Lean engineering, a comprehensive approach to decision-making and leadership within manufacturing organizations, has proven effective in driving sustainable practices. Key strategies include waste elimination, value identification, value stream mapping, flow creation, pull system establishment, and continuous improvement. Both lean manufacturing and sustainability share a common focus on minimizing waste. Lean principles address seven types of waste: transport, inventory, motion, waiting, …

Using Quanser Platform To Introduce Engineering Technology Students To Autonomous Vehicles, Otilia Popescu, Logan Beaver, Murat Kuzlu, Krishnanand Kaipa

Engineering Technology Faculty Publications

The area of autonomous vehicles is not new, but the latest advances in various technologies gave it a new boost in the last decade and it keeps growing in interest. However, undergraduate curricula rarely include courses specific to this area, which is considered mostly an interdisciplinary graduate field. While various programs introduce students to the background needed to understand and approach the field, specific work on autonomous vehicle projects is left for extra curriculum activities or student clubs, and eventually for senior (capstone) projects. This paper presents the work of a team of electrical engineering technology students on an autonomous …

5g-Enabled Iot Gateway For Educational Purposes, Murat Kuzlu

Engineering Technology Faculty Publications

The project aims to develop and implement a 5G-IoT gateway for efficient management and interconnection of IoT devices through advanced sensing and communication technologies. Sensing technologies encompass modern approaches for detecting and measuring physical properties with high accuracy across manufacturing, smart grids, healthcare, smart cities, and other domains. Communication technologies represent the latest developments in high-speed data transmission, offering enhanced reliability and network capacity. This 5G-IoT gateway functions as an educational platform, providing students and educators with hands-on experience in emerging technologies. The system creates opportunities for practical learning and research in telecommunication technologies by enabling direct engagement with 5G …

Maximum Trimmed Likelihood Estimation For Discrete Multivariate Vasicek Processes, Thomas M. Fullerton Jr., Michael Pokojovy, Andrews T. Anum, Ebenezer Nkum

Mathematics & Statistics Faculty Publications

The multivariate Vasicek model is commonly used to capture mean-reverting dynamics typical for short rates, asset price stochastic log-volatilities, etc. Reparametrizing the discretized problem as a VAR(1) model, the parameters are oftentimes estimated using the multivariate least squares (MLS) method, which can be susceptible to outliers. To account for potential model violations, a maximum trimmed likelihood estimation (MTLE) approach is utilized to derive a system of nonlinear estimating equations, and an iterative procedure is developed to solve the latter. In addition to robustness, our new technique allows for reliable recovery of the long-term mean, unlike existing methodologies. A set of …

A Rare Case Of Metastatic Myxofibrosarcoma To The Right Colon, Timothy K. Farrell, Matthew A. Carnell, Vincent J. Obias

Department Surgery Faculty Publications

Myxofibrosarcoma (MFS) is a common soft tissue sarcoma typically arising in the extremities of older adults. Metastatic spread usually involves the lungs, lymph nodes, or bone. We describe a rare case of metastatic MFS to the colon in a 76-year-old man, three years after surgical excision and radiation treatment for a left flank primary tumor. The patient presented with symptoms of obstipation and was found to have a 4 cm cecal mass confirmed by imaging and colonoscopy. Biopsy and surgical pathology confirmed metastatic MFS. A right colectomy was performed without complication. This case highlights an uncommon site of MFS metastasis …

Is It Getting Better? An Evaluation Of Two Successive Generations Of Chatgpt In Answering Specialized Vascular Surgery Questions, Dongjin Suh, Quang Le, Leana Dogbe, Kedar Lavingia, Michael Amendola

Department Surgery Faculty Publications

Purpose: Large language models (LLMs) can generate clinically relevant text; however, their performance in highly specialized medical domains remains uncertain. This study evaluated ChatGPT-3.5 and ChatGPT-4 (OpenAI) using vascular surgery board–style questions from the Vascular Education and Self-Assessment Program, version 4 (VESAP4) and compared the two public model versions (June and November 2023).

Materials and Methods: All non-image VESAP4 questions (n=384) were presented independently three times to each model version (ChatGPT-3.5 June/November; ChatGPT-4, June/November). Outcomes included accuracy (proportion correct), consistency (same option letter across all three attempts and “consistently correct”), explanation length (word count), and modes of failure classified for …

A Comprehensive Exploration Of 6g Wireless Communication Technologies, Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Md. Shahriar Uzzal, H. M. Dipu Kabir

Electrical & Computer Engineering Faculty Publications

As the telecommunications landscape braces for the post-5G era, this paper embarks on delineating the foundational pillars and pioneering visions that define the trajectory toward 6G wireless communication systems. Recognizing the insatiable demand for higher data rates, enhanced connectivity, and broader network coverage, we unravel the evolution from the existing 5G infrastructure to the nascent 6G framework, setting the stage for transformative advancements anticipated in the 2030s. Our discourse navigates through the intricate architecture of 6G, highlighting the paradigm shifts toward superconvergence, non-IP-based networking protocols, and information-centric networks, all underpinned by a robust 360-degree cybersecurity and privacy-by-engineering design. Delving into …

Differentiating Opioid Use Disorder From Healthy Controls Via Ml Analysis Of Rs-Fmri Networks, Ahmed Temtam, Megan A. Witherow, Liangsuo Ma, M. Shibly Sadique, F. Gerard Moeller, C. Kenneth, Dianne Wright, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Objectives/Goals: This work aims to identify functional brain networks that differentiate opioid use disorder (OUD) subjects from healthy controls (HC) using machine learning (ML) analysis of resting-state fMRI (rs-fMRI). We investigate the default mode network (DMN), salience network (SN), and executive control network (ECN), as well as demographic features. Methods/Study Population: This work uses high-resolution rs-fMRI data from a National Institute on Drug Abuse study (IRB #HM20023630) with 31 OUD and 45 HC subjects. We extract rs-fMRI blood oxygenation level-dependent (BOLD) features from the DMN, SN, and ECN. The Boruta ML algorithm identifies statistically significant features and brain activity mapping …

Approval Of Parent-Child Aggression As A Mediator Of Intergenerational Child Abuse Risk: An Evaluation Of Racial Differences, Casie H. Morgan, Christina M. Rodriguez, Doris F. Pu, Zoe O. Elkins

Psychology Faculty Publications

Purpose

Personal history of parent-child aggression (PCA) can predict future parenting behavior, but some effects may differ between racial groups. Black parents in the U.S. are more likely to encounter discrimination and personally experience and approve of PCA, which may account for previously reported group differences. This study examined whether personal PCA history predicted later parental child abuse risk mediated by PCA approval across the transition to parenthood, and whether effects differed by race.

Methods

Expectant parents (non-Hispanic White sample: 95 mothers with 86 fathers; Black sample: 94 mothers with 85 fathers) participated in a prospective longitudinal study, assessed prenatally …

Check Your Data Before You Wreck Your Model: The Impact Of Careless Responding On Substance Use Data Quality, Abby L. Braitman, Anna M. Petrey, Jennifer L. Shipley, Rachel Ayala Guzman, Emily Renzoni, Alison Looby, Adrian J. Bravo

Psychology Faculty Publications

Background: The accuracy of survey responses is a concern in research data quality, especially in college student samples. However, examination of the impact of removing participants from analyses who respond inaccurately or carelessly is warranted given the potential for loss of information or sample diversity. This study aimed to understand if careless responding varies across a number of demographic indices, substance use behaviors, and the timing of survey completion.

Method: College students (N = 5809; 70.7% female; 75.7% White, non-Hispanic) enrolled in psychology classes from six universities completed an online survey assessing a variety of demographic and substance use-related information, …

The Impact Of Peer Observational Learning On Honesty Following A Transgression, Hannah M. Sliman, George H. Noell

Psychology Faculty Publications

Parents and teachers worry about how lying affects children's development and socialization, as research links persistent lying to delinquency, aggression, and conduct issues. To investigate this, we examined two groups: Honest and Praise versus a Control Group, exploring how exposure influenced children's honesty and confession after transgressions. The study aimed to see if observing peers receive praise for honesty could promote truthfulness. Gender's impact on reporting honesty was assessed. Results showed no significant difference in honesty between the HP and CG groups; children confessed at similar rates in both conditions. Gender did not affect honest reporting. These findings differ from …

Using Mindfulness To Manage Moral Injury In Veterans: Feasibility And Satisfaction Of A Pilot Randomized Controlled Trial, Michelle L. Kelley, Adrian J. Bravo, Elizabeth E. Burgin, Susan A. Gaylord, Christine Vinci, Megan Strowger, Jeffrey M. Gabelmann, Joseph M. Currier

Psychology Faculty Publications

Objective

The present study assessed program feasibility and satisfaction among recent-era veterans who participated in Mindfulness to Manage Moral Injury (MMMI), a live facilitated web-based 7-week mindfulness-based program targeting moral injury among veterans.

Method

In total, 56 post-9/11 veterans were recruited with 28 randomized to the MMMI condition and 28 to the Education and Support (ES) condition. Most participants identified as being White (71.4%), male (66.1%), and had a reported mean age of 41.50 years (Median = 39.50, SD = 9.26).

Results

Among the 56 participants, 82.1% attended at least one treatment session and 44.6% completed all seven sessions. There …

Pregnant Adults' Interest In Physical And Mental Health Behavior Change Interventions Using Mobile Technology, Natalie M. Yarish, Cassidy M. Sandoval, Alicia Moulder, Meredith I. Turner, Danielle Symons Downs, Kristin E. Heron

Psychology Faculty Publications

Improving the health and well-being of pregnant adults is an important public health priority in the USA, and mobile health (mHealth) interventions may provide a scalable strategy to disseminate behavior change programs to pregnant adults. This study assessed pregnant people’s use of mobile technology, interest in making health behavior changes during and after pregnancy, and their willingness to use mHealth interventions. Participants were 133 pregnant adults (M_age = 27.86; 81% White) living across the USA recruited from social media to complete an online survey. Measures assessed mobile technology use and beliefs about improving mental/physical health in pregnancy and postpartum …

Psychometric Evaluation Of A Novel Measure Of Trauma-Related Cannabis Use To Cope, Sage E. Hawn, Terrell A. Hicks, Christopher Latourrette, Anita Thomas, Daniela Chaname, Sarah Ehlke, Abigail Powers Lott

Psychology Faculty Publications

Background: Posttraumatic stress disorder (PTSD) and cannabis use disorder (CUD) are commonly comorbid and are associated with many negative public health outcomes. One plausible explanation for this comorbidity comes from a self-medication framework, which suggests people use cannabis to cope with PTSD symptoms. Despite theoretical and empirical evidence for PTSD-related cannabis use to cope, no measure of this construct exists.

Objective: We sought to address this gap by developing and validating a novel measure of PTSD-specific cannabis self-medication, which we have termed the Trauma-Related Cannabis Use to Cope (TRCU) questionnaire.

Method: The psychometric properties of the TRCU and how it …

The Perceived Internalized Sexual Stigma Measure (Prissm): A New Sexual Stigma Measure For Lesbian, Gay, And Bisexual Individuals, Miguel A. Padilla, Lacey M. Schlappi, Evelyn S. Chiang

Psychology Faculty Publications

Society has long held negative beliefs and attitudes, in the form of sexual stigma, towards sexual minorities (e.g., lesbian, gay, and bisexual; LGB). Sexual stigma can be adopted and internalized by LGB individuals as their own beliefs and attitudes. In LGB individuals, internalized sexual stigma can result in psychological distress such as low self-esteem, depression, shame, and feelings of rejection. However, an instrument to assess internalized sexual stigma specifically developed for LGB individuals is lacking. The present study focuses on the development of a new instrument, the Perceived Internalized Sexual Stigma Measure (PrISSM), that is inclusive of LGB individuals who …

Vagally Mediated Heart Rate Variability Modulates The Association Between The Perceived Workload And The Stroop Effect On Behavioral Performance, Xiao Yang, Michael Gazzanigo, Fang Fang, Spencer House

Psychology Faculty Publications

Vagally mediated heart rate variability (vmHRV) reflects top-down cognitive processes involved in emotion-cognition integration. Using cognitive control can be effortful and increase negative affect. However, this intrinsic affective component of cognitive control has not been well studied, and the role of vmHRV in the association between subjective experience in using cognitive control and behavioral performance remains unknown. The current study aimed to examine the relationship of vmHRV with cognitive control and perceived workload in a cognitive task. Eighty-one participants performed the Stroop interference task. Participants rated subjective workload using the NASA Task Load Index (NASA-TLX) scale for congruent and incongruent …

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

Psychology 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 …

Am I As Effective At Identifying Emotions As Artificial Intelligence? A Comparative Study Of Emotional Recognition, Traci R. Grove, Alexandra T. Lucas, Maryann Martin, Cathleen M. Deckers, Lulu Sherif Mahmood, Nicole Danaher-Garcia, Mark W. Scerbo, Suzan Kardong-Edgren, Janice C. Palaganas

Psychology Faculty Publications

Background

Learning conversations, or dialogues aimed at deepening understanding and reflection, are deeply influenced by emotions. Effective communication is influenced by emotional intelligence - the ability to recognize, understand, and manage both one’s own and others’ emotions. While advances in artificial intelligence (AI) offer new tools for emotion recognition, these technologies still struggle with accurately interpreting subtle and culturally diverse emotional expressions, sparking debate about their reliability and effectiveness. This article provides a comparative analysis of human versus AI recognition of emotions during an end-of-course reflective learning conversation.

Methods

Emotions during a structured post-conference debriefing were analyzed and coded by …

Understanding The "Paradox" In Black-White Alcohol Outcomes: Examining High-Effort Coping And Health Behaviors With A Focus On Black Populations And College Students, Rachel Ayala Guzman, Abby L. Braitman

Psychology Faculty Publications

Despite experiencing more physical health disadvantages and psychosocial stressors, Black Americans consistently report better mental health outcomes compared to White Americans—a phenomenon commonly referred to as the Black-White health paradox. Alcohol research has identified another racial paradox suggesting Black Americans are at greater risk for alcohol-related problems despite drinking less than White Americans, which is known as the Black-White alcohol paradox. While both paradoxes are well-documented, few studies have examined their potential overlap or how insights from one might inform understanding of the other. Although the alcohol paradox is usually examined among older adults, it may be important to consider …

Parent Ptsd, Social Support And Differential Associations With Facets Of Anxiety Sensitivity, Kristen Bermingham, Christopher Latourrette, Karen G. Chartier, Spit For Science Working Group, Ananda B. Amstadter, Kaitlin Bountress

Psychology Faculty Publications

Background: Anxiety Sensitivity (AS), the belief that anxiety experiences have negative implications, is a prospective predictor of posttraumatic stress disorder (PTSD) and has been linked to changes in PTSD in experimental studies. AS is comprised of three sub-components: cognitive, physical, and social concerns. PTSD is moderately heritable and parental PTSD may increase risk for these AS facets both directly and through environmental influences like reduced social support.

Objective: The present study will examine whether Parent PTSD is associated with reduced social support and in turn facets of AS.

Method: Participants were recruited from an ongoing longitudinal study of college student …

The Interacting Roles Of Attention Allocation And Trust In Highly Automated Aam Environments, Yusuke Yamani

Psychology Faculty Publications

[First slide]

Mechanisms of attentive visual processing

• Attention control
• Visual search
• Eye movement
• Aging and individual differences

Limits of human performance in applied environment

• Complex displays
• Machine operation
• Surface transportation
• Advanced air mobility
• Nuclear operation

Methods to ameliorate human cognitive performance

• Human-machine interface
• Human autonomy/AI teaming
• Human-systems integration
• Training