Digital Commons Network^™

Digital Twin Enabled Robot Collision Detection Using Time Series Forecasting, Fadi El Kalach, Mojaba A. Farahani, Philip Samaha, Thorsten Wuest, Ramy Harik

Faculty Publications

The advent of Industry 4.0 has reshaped modern manufacturing, driven by breakthroughs in cutting-edge technologies. A key example is the widespread deployment of sensors, which capture and transmit large volumes of operational data. This data surge has fueled the development of advanced Artificial Intelligence (AI) applications, enhancing manufacturing intelligence and efficiency. A key enabler of such intelligence is Time-Series Forecasting (TSF), which leverages historical data to predict future trends and events, thereby providing actionable insights for proactive decision-making. In parallel, Digital Twin (DT) technology has gained significant prominence due to its capacity for bidirectional communication with physical manufacturing systems, enabling …

Partial Mitochondrial Genome Of The Enigmatic Bermuda Fireworm Odontosyllis Enopla Verrill, 1900 (Annelida, Syllidae, Eusyllinae) And Its Phylogenetic Implications, Lynette D. Wyant, Brendan A. Cruz, Aydanni D. Gonzalez, Joshua M. Kovalcik, Maria A. Carolus, Lauren C. Hutto, Hope Chutjian, Jude C. Roman, Anneau Cappelmann, John J. Ankney, Aidan Popp, James B. Wood, D. Tye Pettay, Mercer R. Brugler

Natural Sciences Faculty Publications

The Bermuda fireworm, Odontosyllis enopla Verrill, 1900, is a marine polychaete that displays a unique bioluminescent mating ritual. Despite the first sighting of O. enopla more than 534 years ago, molecular data have been limited. Several syllid mitogenomes are currently available; however, there are only three published genes for O. enopla: two partial mitochondrial genes (16S [508 bp] and cox1 [653 bp]; 1,161 bp total) and one partial nuclear gene (18S [1,339 bp]). This study bioinformatically mined previously published transcriptomes of O. enopla for mitochondrial reads and subsequently assembled and annotated a partial mitochondrial genome (10,172 bp). The partial mitogenome …

Evaluation Of The Consistency Of A Speech Verification System With Human Raters In Early Literacy Screening Assessments, Yaacov Petscher, Jennifer O'Sullivan, Hugh W. Catts, Ashley Edwards, Lisa Fitton Ph.D., Ccc-Slp

Faculty Publications

This study investigates the use of a speech verification system (SVS) technology, a form of automatic speech recognition (ASR), in the assessment of children's reading skills. Despite the growing integration of ASR systems in educational assessment, significant challenges persist, particularly due to the acoustic, pronunciation and dialectal variability inherent in children's speech. Our research evaluated the consistency between human rater (HR) and speech verification system (SVS) scores produced from SoapBox Labs across three linguistic tasks—phoneme blending, expressive vocabulary and word reading. Results reveal variability in agreement rates, with SVS showing lower consistency with human raters in phonologically complex tasks like …

Evaluation Of The Consistency Of A Speech Verification System With Human Raters In Early Literacy Screening Assessments, Yaacov Petscher, Jennifer O'Sullivan, Hugh W. Catts, Ashley Edwards, Lisa Fitton Ph.D., Ccc-Slp

Faculty Publications

This study investigates the use of a speech verification system (SVS) technology, a form of automatic speech recognition (ASR), in the assessment of children's reading skills. Despite the growing integration of ASR systems in educational assessment, significant challenges persist, particularly due to the acoustic, pronunciation and dialectal variability inherent in children's speech. Our research evaluated the consistency between human rater (HR) and speech verification system (SVS) scores produced from SoapBox Labs across three linguistic tasks—phoneme blending, expressive vocabulary and word reading. Results reveal variability in agreement rates, with SVS showing lower consistency with human raters in phonologically complex tasks like …

The Daily Gamecock: February 2026, University Of South Carolina, Office Of Student Media

2026

No abstract provided.

Integrating Future Factory-To-Factory (F2f) Manufacturing Through System Of Systems Engineering (Sose): A Framework For Capability Beyond Constituent Systems, Polinpapilinho F. Katina, Hengtao Tang Ph.D., Anouar Hallioui

Faculty Publications

System of Systems Engineering (SoSE) is an emerging discipline focused on the design, integration, and evolution of metasystems—composed of multiple autonomous yet interdependent systems. These systems of systems (SoS) offer capabilities that exceed those of any individual constituent systems by enabling synergistic coordination, interoperability, and dynamic adaptation across diverse operational contexts. This study pursued three primary objectives: (i) to examine the role of integration in enabling emergent capabilities beyond those of individual systems, (ii) to explore SoSE as a framework for orchestrating Future Factory-to-Factory (F2F) Manufacturing, and (iii) to assess the implications of SoSE to address volatile, uncertain, complex, and …

Uav-Deployable Open-Source Sensor Nodes For Spatial And Temporal In Situ Water Quality Monitoring And Mapping, Matthew Burnett, Mohamed Abdelwahab, Joud N. Satme, Austin Downey, Gabriel Barahona Smith, Antonio Fonce, Jasim Imran

Faculty Publications

Cost efficient, spatially resolved water quality monitoring is essential for managing pollution and protecting aquatic ecosystems. This study presents a low-cost (approximately USD 200), open-source, unmanned aerial vehicle (UAV)-deployable in situ sensor node for real-time assessment of surface-water conditions. The system integrates sensors for pH, turbidity, temperature, and total dissolved solids (TDSs), with onboard data logging and real-time clock (RTC) synchronization. Bench validation of the sensor package yielded mean absolute percentage errors of 1.34% for pH, 5.23% for TDS, and 0.81% for temperature, and the device operated continuously for 42 h. Field deployment demonstrated its ability to resolve spatial gradients, …

Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser

Faculty Publications

Snapping shrimp damp the shock waves they produce and use as weapons with a helmet-like structure termed the orbital hood. Here, we ask how structural and material properties contribute to shock wave damping by orbital hoods in Alpheus heterochaelis. Using tensile mechanical testing, we find orbital hoods are approximately half as stiff as carapace and have twice the capacity for viscous energy dissipation. Microstructural features probably contribute to tissue-specific mechanical properties: the endocuticles of orbital hoods have almost twice as many lamellae as those of carapaces despite being half as thick, suggesting a mechanism for enhanced material mobility underlying …

Equal Chances Or Fewer Victims? Moral Judgments In Autonomous Vehicle Dilemmas, Alexander Matros, Eren Bilen, Leonid Matros

Faculty Publications

We examine the moral dilemma of how autonomous vehicles (AVs) should be programmed to act in unavoidable crash scenarios involving trade-offs between saving one life and saving many. We report results from three experimental studies that investigate individuals’ preferences over alternative AV decision rules in stylized crash scenarios. Across designs, we find robust support for a probabilistic decision rule that assigns passengers and pedestrians equal ex ante chances of survival (a 50:50 rule). This preference persists across different framings and remains salient even when additional probabilistic options are introduced.

Theoretical And Conceptual Approaches To Journalism Education, August E. Grant, Jeffrey S. Wilkinson, G. Nathan Carnes

Faculty Publications

Many journalism programs embrace the teaching hospital model because of its practical approach, employing working journalists as journalism educators. However, critics contend a more conceptual model of journalism education is needed. This essay explores the literature on journalism education models and seeks to integrate the teaching hospital and entrepreneurial journalism approaches with the revised Bloom's Taxonomy and Fink's Taxonomy of Significant Learning. Combined, these models provide a solid theoretical foundation for practical, applied journalism education. This essay applies these four models to journalism education, yielding a matrix of dimensions that can guide the creation or modification of curricula as well …

Boronate Esters For The Binding And Detection Of Low Molecular Weight Volatile Amines, Xiaoning Li, James Boyt, Steven Sloope, Luke T. Lackovic, Mark D. Smith, James J. Lavingne

Faculty Publications

Conjugated thiophene-based diboronate esters, 1–4, were synthesized to investigate how substituents on catechol alter the Lewis acidity and accessibility to boron, and influence binding interactions with low molecular weight Lewis basic amines. Crystallographic analysis indicated that both boron centres bind analyte and that Lewis base coordination induces deplanarization of the conjugated system. Spectroscopic studies demonstrate that amine binding disrupts conjugation, producing distinct and reproducible optical responses that depend on analyte basicity and structure, with association constants in organic solvent ranging from 10³ to 10⁶ M⁻¹. Quantitative binding analyses indicate strong negative cooperativity between the two boron …

Biologically-Inspired Multiscale Neuromorphic Architecture, Christian O'Reilly, Ramtin Zand

Publications

This white paper proposes a biologically-inspired multiscale neuromorphic architecture that bridges key gaps between artificial neural networks (ANNs), spiking neural networks (SNNs), and biological neural networks (BNNs). While SNNs offer promising energy efficiency, their broader adoption remains limited by suboptimal performance and the need for novel learning paradigms. To address these challenges, the proposed framework integrates structural and functional principles observed in the brain, including hierarchical organization, sparse and modular connectivity, predictive coding, and diverse neuronal dynamics.

The architecture operates across micro-, meso-, and macro-scales, incorporating neuron-level diversity (e.g., excitatory/inhibitory and principal/support cells), canonical microcircuits (CMCs), and large-scale hierarchical organization. …

Characterization Of Ru(Ii) Polypyridyl Photosensitizers Bound To Tio2 Supports Through A New Covalent Metal-Ester Bonding Motif, D. M. S. C. Dissanayake, Christopher T. Lebarron, Laura C. Maybach, Joseph J. Kuchta Iii, Seyyedamirhossein Hosseini, Aaron K. Vannucci

Faculty Publications

The development of photoelectrochemical (PEC) devices involves the attachment of molecular photosensitizers onto solid supports. Particularly significant to this work are PECs that rely on ruthenium-based photosensitizers on high band gap metal oxide (MOx) supports. In this study, we have explored a new ester binding motif (MOx-ester) to covalently attach a ruthenium polypyridyl photosensitizer to TiO₂. This new MOx-ester photoanode is compared to the traditional photoanodes that utilize acid/base binding groups to attach the molecular Ru sensitizers to TiO₂. The new MOx-ester binding motif is characterized by cyclic voltammetry UV-Vis, solid state ¹³C NMR, and …

Psychological Resilience In The Covid-19 Response: A Systematic Review For Future Public Health Preparedness, Atena Pasha, Abdul-Hanan Saani Inusah, Jannatun Nayem, Xiaoming Li, Shan Qiao

Faculty Publications

Objective: The COVID-19 pandemic has highlighted the importance of psychological resilience for well-being. While several reviews have addressed resilience in specific populations or contexts, few have synthesized global literature across diverse populations. This review examines psychological resilience across diverse populations, focusing on measurement, associated factors, and future public health preparedness strategies. Method: Guided by the PRISMA, a thorough search of PsycINFO, PubMed, ScienceDirect, and Web of Science was conducted in February 2024, including quantitative studies considering psychological resilience during the COVID-19 pandemic published in peer-reviewed English journals from 2020 to 2024, using search terms relevant to psychological resilience and COVID-19. …

Community Synchrony In Aquatic Macroinvertebrates Is Unrelated To Environmental Variability But Differs Among Functional Feeding Groups, Anthony J. Pignatelli, Tad Dallas

Faculty Publications

Environments are becoming increasingly more variable, as a function of climate change. As this occurs, species may be exposed to conditions outside their preferred range. Such variability in the environment can influence community abundance as individual species respond either similarly (synchronous dynamics) or differently (asynchronous dynamics) to each other. These fluctuations in abundances are important for understanding the impact of environmental variability on species temporal fluctuations in aquatic macroinvertebrates. This group of organisms is species-rich and highly sensitive to environmental fluctuations. We analyzed 18 stream macroinvertebrate communities sampled by the National Ecological Observatory Network between 2014 and2022 to understand how …

Improving Lexicosemantic Impairments In Post-Stroke Aphasia Using Rtms Targeting The Right Anterior Temporal Lobe, Sophie Arheix-Parras, Sophia R. Moore, Rutvik H. Desai

Faculty Publications

Background/Objectives: Repetitive Transcranial Magnetic Stimulation (rTMS) can enhance post-stroke aphasia recovery. The right Inferior Frontal Gyrus is the most common target in rTMS studies for inhibitory stimulation. However, lexicosemantic processes involve a large brain network including the Anterior Temporal Lobe (ATL). We hypothesize that rTMS targeting the ATL will improve lexicosemantic impairments in people with post-stroke aphasia. Methods: In a Single-Case Experimental Design, three people with post-stroke aphasia with lexicosemantic impairments performed Picture and Auditory Naming and Semantic Decision tasks five times a week for one or two weeks to establish baseline scores. Then, each participant received continuous inhibitory Theta …

When Disasters Trigger Cyber Vulnerabilities: Mapping Physical-Digital Interdependencies In Critical Infrastructure Systems, Dikshya Panta, Sicheng Wang, Aditya Sapkota, Prakash Ranganathan

Faculty Publications

Critical infrastructure (CI) systems such as power, water, communications, and emergency services are increasingly exposed to compound risks in which natural disasters and cyber incidents interact and amplify one another. Traditional risk assessments often isolate physical and digital threats, overlooking the cascading dependencies that emerge when operational stress, emergency reconfiguration, and adversarial exploitation coincide. This study conducts a 2019–2025 scoping review and introduces a Geographic Information System (GIS) driven six-stage disaster cyber compounding framework that characterizes, maps, and operationalizes compound risk across interdependent CI sectors. The framework integrates a common operating picture, analytic situational understanding, exposure mapping, threat-fingerprint encoding, detection …

The Age And Composition Of The Voyager Seamounts: Evidence For A Long-Lived Marquesas Mantle Source, Andrea Balbas, Hannah Paradis, Kevin Konrad, Valerie A. Finlayson, Michael Bizimis, Stephanie Anderson, Christopher Kelley, Nicole A. Raineault, Beth N. Orcutt

Faculty Publications

We present new observations on the dynamics and locations of deep mantle reservoirs derived from the ages and compositions of Voyager Seamount Chain lava flows. The previously unexplored Voyager Seamount Chain trends NW–SE between the Mid-Pacific Mountains and the Northwestern Hawaiian Ridge. Volcanic samples were recovered from the chain during the Ocean Exploration Trust expedition NA134. The lava flows are alkalic to highly alkalic in composition. Ages ranged from 81 to 86 Ma (n = 8), with the oldest ages in the NW and an age-progression toward the SE. The Voyager age-progression continues southward through the Northern Line Islands …

Cognitive Dysfunction In Women With The Fmr1 Premutation During Midlife: The Lassi-L Reveals Curvilinear Cgg-Dependent Risk Buffered By College Education, Jessica Klusek, Jillian Gierman, Amanda Fairchild, Andreana M. Benitez, Elizabeth Berry-Kravis, Marsha R. Mailick

Faculty Publications

Background

The FMR1premutation (FXPM) is a common genetic variant (∼1:151 females) linked to increased risk for neurodegenerative disease. Midlife cognitive phenotypes remain poorly defined.

Objective

To characterize episodic memory performance in midlife FXPM women and examine potential risk moderation via genetic (i.e., FMR1CGG repeat expansion size) and environmental (i.e., college degree attainment) influences.

Methods

Eighty-eight FXPM women and 84 matched controls, aged 30–55, completed the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), a measure of specific episodic memory processes sensitive to subtle Alzheimer's disease (AD)-related cognitive and neuropathological changes.

Results

FXPM women demonstrated deficits in proactive semantic …

Statewide Sanctuary Policies And Female Homicide Rates, 2016–2021, Kaitlin M. Boyle, Sophia Shaiman, Veronica Valencia Gonzalez, Wendy Regoeczi

Faculty Publications

The current study examines whether state immigration enforcement policies, such as sanctuary policies that limit local police cooperation with federal immigration enforcement, are associated with female homicide rates in the United States (2016–2021). We examine crude female homicide rates from the National Violent Death Reporting System (N = 244 state-years), which we stratify by race and ethnicity (Hispanic of all races, non-Hispanic Black, and non-Hispanic White) and victim–suspect relationship (domestic vs. stranger homicide). State-years with policies that are more protective of immigrants were not associated with higher homicide rates for any group. Instead, state-years with these policies reported significantly lower …

Pdr-Stgcn: An Enhanced Stgcn With Multi-Scale Periodic Fusion And A Dynamic Relational Graph For Traffic Forecasting, Jie Hu, Bingbing Tang, Langsha Zhu, Yiting Li, Jianjun Hu, Guanci Yang

Faculty Publications

Accurate traffic flow prediction is a core component of intelligent transportation systems, supporting proactive traffic management, resource optimization, and sustainable urban mobility. However, urban traffic networks exhibit heterogeneous multi-scale periodic patterns and time-varying spatial interactions among road segments, which are not sufficiently captured by many existing spatio-temporal forecasting models. To address this limitation, this paper proposes PDR-STGCN (Periodicity-Aware Dynamic Relational Spatio-Temporal Graph Convolutional Network), an enhanced STGCN framework that jointly models multi-scale periodicity and dynamically evolving spatial dependencies for traffic flow prediction. Specifically, a periodicity-aware embedding module is designed to capture heterogeneous temporal cycles (e.g., daily and weekly patterns) and …

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks, Asaad Migot, Ahmed Saaudi, Roshan Joseph, Victor Giurgiutiu

Faculty Publications

Fatigue crack propagation is a critical failure mechanism in engineering structures, requiring meticulous monitoring for timely maintenance. This research introduces a deep learning framework for estimating fatigue fracture length in metallic plates through acoustic emission (AE) signals. AE waveforms recorded during crack growth are transformed into time-frequency images using the Choi–Williams distribution. First, a clustering system is developed to analyze the distribution of the AE image-based dataset. This system employs a CNN-based model to extract features from the input images. The AE dataset is then divided into three categories according to fatigue lengths using the K-means algorithm. Principal Component Analysis …

Host-Derived Interleukin-1Α Drives Tumor Immunosuppression By Reprogramming Tumor-Associated Myeloid Cells, Manikanda Raja Keerthi Raja, Gourab Gupta, Grace Atkinson, Katie Kathrein, Alissa R. Armstrong, R. Michael Gower, Igor Roninson Ph.D., Eugenia Broude, Mengqian Chen Ph.D., Hao Ji, Chang-Uk Lim, Hongjun Wang, Daping Fan, Peisheng Xu Ph.D., Hexin Chen

Faculty Publications

Myeloid cells are highly heterogeneous and play key roles in establishing an immunosuppressive tumor microenvironment (TME), but the mechanisms controlling their differentiation remain unclear. Using orthotopic murine breast cancer models, we investigated how interleukin-1α (IL-1α) influences this process. Deletion of host Il1α resulted in rejection of transplanted tumors. Single-cell RNA sequencing identified CX3CR1⁺ macrophages as the main source of IL-1α in the TME. Il1α deficiency disrupted monocyte–macrophage differentiation, reducing CX3CR1⁺ macrophages and increasing iNOS⁺ macrophages. Myeloid cells from Il1α⁻/⁻ hosts induced lower PD-1 and CTLA-4 expression in co-cultured CD8⁺ T cells than those from wild-type hosts. CellChat analysis showed …

January 14, 2026 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

The Incorporation Of Ai-Enabled Culturally Relevant Narrative-Based Learning Pedagogy To Engage Students In A Diverse Stem Classroom, Nitin U. Jain, Eliza G. Braden

Faculty Publications

This study explores how AI-enabled, culturally relevant, narrative-based learning pedagogy influences engagement among ninth-grade students in an Earth Science course. Conducted in two classrooms in a southeastern U.S. school predominantly attended by African American and Latinx students, we developed lesson plans on Earth Systems and Climate Change. Using a qualitative case study design, we examined one educator's implementation of AI-enhanced lessons. Thematic analysis of exit surveys and students' artifacts revealed that narrative-based learning significantly increased students' desire, engagement, and confidence in scientific concepts compared to conventional methods. This approach allowed students to integrate local and global knowledge, fostering deep questions …

Jwst Interferometric Imaging Reveals The Dusty Torus Obscuring The Supermassive Black Hole Of Circinus Galaxy, Enrique Lopez Rodriguez, Joel Sanchez-Bermudez, Omaira González-Martín, Robert Nikutta, Ryan M. Lau, Deepashri Thatte, Julien H. Girard, Ismael García-Bernete, Matthew J. Hankins

Faculty Publications

The dusty and molecular torus is an elusive structure surrounding supermassive black holes, yet its importance is unequivocal for understanding feedback and accretion mechanisms. The torus and accretion disk feed the inspiraling gas onto the active nucleus, launching outflows that fundamentally connect the active nucleus’s activity to the host galaxy. In this work, we utilize the aperture-masking interferometric mode onboard the JWST to achieve a resolution of 0.08" at 4.3 μm and bring out the fainter features in the central 10 pc of the Circinus galaxy. We show that most of the dust mass is located along the equatorial …

Technology-Enabled Cognitive Behavioral Therapy For Insomnia (Cbt-I) In Older Adults With Mild Cognitive Impairment: Development And Feasibility Study, Hongtu Chen, Marta Pagán-Ortiz, Sara Romero Vincente, Emma Chapman, James Maxwell, Otis L. Owens, Sue E. Levkoff Scd, Msw, Sm

Faculty and Staff Publications

Background/Objectives: Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and early dementia, affecting up to 20% of older adults. Sleep disturbances, particularly insomnia, affect around 60% of individuals with MCI, contributing to declines in cognitive and physical function. Although Cognitive Behavioral Therapy for Insomnia (CBT-I) is an evidence-based non-pharmacological treatment, few studies have adapted it for individuals with MCI. This pilot study developed and evaluated Slumber, a clinician-supported mobile CBT-I app tailored for older adults with MCI and insomnia. Methods: The study had three aims: (1) to develop the app for delivering CBT-I to individuals with …

Cortical Hierarchy And Aphasia Severity: The Sensorimotor–Association Gradient Modulates Lesion Effects Within Language-Specific Networks, Ida Rangus, Natalie Busby, Nicholas Riccardi, Sigfus Kristinsson, Janina Wilmskoetter, Dirk B. Den Ouden, Chris Rorden, Roger Newman-Norlund, Julius Fridriksson Ph.D., Leonardo Bonilha

Faculty Publications

Aphasia severity after stroke varies widely and is not fully explained by lesion size or location. We propose that incorporating the brain’s sensorimotor-association (S-A) gradient, reflecting cortical hierarchy, offers a biologically grounded framework for predicting language outcomes. In 236 individuals with chronic left-hemisphere stroke, we examine whether the hierarchical position of lesions in language-specific (LS) and domain-general (DG) areas modulates aphasia severity. We parcellate lesions using a cortical atlas and weigh them by each region’s S-A rank. We apply hierarchical linear regression to test whether S-A ranking and its interaction with lesion volume improves prediction of Western Aphasia Battery-Revised Aphasia …

Temperature Dependent High Frequency Performance Of A 62% Algan Channel Hemt, Jiahao Chen, Abdullah Al Mamun Mazumder, Parthasarathy Seshadri, Dheekshinn Nandakumar, Ruixin Bai, Rafael Andrew Choudhury, M. Asif Khan, Chirag Gupta

Faculty Publications

This article reports on the temperature dependent performance of a HEMT with an Al_0.62Ga_0.38N channel layer and an Al_0.84Ga_0.16N barrier layer grown by metal–organic chemical vapor deposition. The device in this report was measured at room temperature and elevated temperatures of 100–150 °C. The sheet resistance increased from 3.5 kΩ/sq (25 °C) to 5.4 kΩ/sq (150 °C), while the contact resistance remained nominally similar. For a device with 160 nm gate length and 2 µm source-to-drain length, excellent electrical characteristics have been achieved when the device was operated at 150 °C with …

Risk And Public Judgments On Police Pursuits: A Nationally Representative Conjoint Experiment, Scott M. Mourtgos, Ian T. Adams, Kyle Mclean, Geoffrey P. Alpert

Faculty Publications

Police vehicle pursuits emphasize a central tension between law enforcement imperatives and public safety. While modern policies emphasize balancing apprehension needs against risks of continuation, little is known about whether public intuitions mirror this framework. We address this gap using a nationally representative conjoint experiment (N = 3,334) that varied eleven contextual factors across randomized pursuit scenarios. Respondents rated perceived risk, indicated whether pursuits should be terminated, and made forced-choice tradeoffs. Across all outcomes, high-risk situational factors (e.g., high speeds, adverse weather, heavy traffic, urban settings, etc.) increased perceived danger and termination support, while more serious underlying offenses, particularly …