Digital Commons Network^™

House Of Cards: An Examination Of Missouri’S Inconsistent Tax Assessment Regime And The Questionable Role Of The Court As Arbiter, Isabel Fenoglio

Missouri Law Review

“Taxes are what we pay for civilized society.” No one has offered a simpler rationale for the American tax system than the former Supreme Court Justice Oliver Wendell Holmes, Jr. Despite their inevitability, taxes remain universally dreaded and misunderstood by Americans, but none more so than property taxes. Without property taxes, life as everyday Americans understand it would cease to exist. From streets to schools, from libraries to fire departments, the budgets of indispensable public services, which enable communities to flourish, would collapse.

Google Geofences: Navigating The Fourth Amendment In The Digital Age, Maverick L. L. Lewis

Missouri Law Review

In December 2018, twenty-three-year-old Jorge Molina was wrongfully arrested for murder based on location data received from a Google geofence—a virtual perimeter around a specific geographic location, created using Google’s location services. Despite law enforcement confirming his alibi within twenty-four hours, Molina spent six days in jail before he was released. As a result, Molina lost his job and car, suffered reputational damage, and was forced to drop out of college. Molina’s stepfather was later arrested and charged for the murder after law enforcement learned he had been using Molina’s old phone, which was still logged into his email. In …

Back To Basics: Statutory Interpretation And The Demise Of The Dol’S Tip Credit Rule After Loper Bright, William T. Perryman

Missouri Law Review

The Fifth Circuit recently delivered a significant blow to the Department of Labor’s (“DOL”) regulatory authority in Restaurant Law Center v. U.S. Department of Labor, which vacated a rule delineating the permissible scope of non-tip-producing work for employees under the Fair Labor Standards Act (FLSA) for employers claiming a “tip credit.” The challenged regulation—often referred to as the “80/20 rule” with a “30-minute rule” addendum—sought to limit the amount of non-tip-producing work a tipped employee could perform if the employer claimed a tip credit. What renders this decision particularly notable is the Fifth Circuit’s relatively swift invalidation of a long-standing …

Sequential Platinum And Parp Inhibition Enhances Pd1 Immunotherapy Efficacy In Murine Brca2 Mutated Pancreatic Cancer, John C Mcvey, Max M Wattenberg, Heather Coho, Kayjana Infante, Kelly Markowitz, Devora Delman, Cynthia Clendenin, Emma E Furth, Rashmi Tondon, Ben Z Stanger, Robert H Vonderheide, Kim A Reiss, Gregory L Beatty

2020-Current year OA Pubs

Pancreatic ductal adenocarcinoma (PDAC) is a challenging malignancy to treat, but emerging evidence suggests that specific subtypes may respond more favorably to certain therapies. BRCA-mutated PDAC represents a distinct subtype that is particularly sensitive to DNA-damaging therapies. The current standard of care for advanced BRCA-mutated PDAC involves induction platinum-based chemotherapy followed by maintenance therapy with a poly (ADP-ribose) polymerase inhibitor (PARPi). However, the randomized phase III POLO trial, upon which this standard is based, did not demonstrate an improved overall survival in patients who received olaparib compared to those who received placebo, highlighting the need for new therapeutic approaches. Additionally, …

Red Bumps, Red Flags: A Case Series Of Four Neoplasms Masquerading As Inflamed Cutaneous Cysts, Jared Hensley, Smaran Marupudi, Kelly Maedo, Saba Suleman, Eric Sandrock

School of Medicine Publications

Red, inflamed cutaneous nodules are frequently diagnosed as epidermal inclusion cysts in both primary care and dermatology settings. However, several benign and malignant entities can closely mimic an inflamed cyst, leading to delayed diagnosis and suboptimal management. We present four patients who initially presented with erythematous nodules clinically suspected to be cysts; final histopathologic diagnoses included dermatofibroma, amelanotic melanoma, dermatofibrosarcoma protuberans, and undifferentiated pleomorphic sarcoma. For each case, we describe the clinical presentation, histopathology, and management. The presence of a central punctum and superficial mobility strongly favors an epidermal inclusion cyst. In contrast, the absence of a punctum, rapid growth, …

Polynomial Simulations Of Crn Models With Trimolecular Void Step-Cycle Crns, Austin Luchsinger, Aiden J. Massie, Robert Schweller, Evan Tomai, Tim Wylie

Computer Science Faculty Publications

We investigate the computational power of Step-Cycle Chemical Reaction Networks (CRNs) when restricted to void reactions of size at most (3, 1). Step-Cycle CRNs extend the previously introduced step CRN model by repeatedly cycling through a fixed sequence of species additions and reaction phases. We show that even under the severe constraint of trimolecular void rules—which can only delete or preserve species—the model retains full computational power. In particular, we prove that (3,1) void Step-Cycle CRNs can polynomially simulate (1) any general CRN, (2) any general Step CRN, and (3) any general Step-Cycle CRN. Ultimately, these results demonstrate that the …

Global Dose Prescription Variances Exemplified Through Oropharynx Cancer: When Is 70 Gray 70 Gray?, Christian Rønn Hansen, Tony Tadic, Manju Sharma, Gareth Price, Jens Petersen, Ying Xiao, Pernille Lassen, Jens Overgaard, Lachlan Mcdowell, Prabhakar Ramachandran, Jun Won Kim, Clifton David Fuller, David J Thomson, Jørgen Johansen, Jeppe Friborg, Sue S Yom, Andrew Hope

Faculty, Staff and Student Publications

Purpose/objectives: Radiation therapy treatment planning hinges on a critical factor: the prescribed dose. Surprisingly, there is no consistent, standardized global approach to evaluating the dosimetry of this prescription across different centers treating head and neck cancer (HNC). This study aimed to quantify global dose variations for identical prescriptions across international centers treating oropharyngeal cancer, to establish the foundation for future outcome-based studies and improve consistency of interpretation worldwide.

Materials and methods: The study included patients with oropharyngeal cancer who were consecutively treated from 2017 onward with intensity-modulated radiation therapy or volumetric modulated arc therapy at 8 globally recognized radiation therapy …

Thresholds Of Wave Forcing: Implications For Atoll Reef Dynamics Under Sea Level Rise, Mathilde Lindhart, Gerd Masselink, Ashley Holsclaw, Tim Scott

School of Biological and Marine Sciences

We investigate the response of shallow reef flow to tidal variability and wave exposure during a 4-month field campaign in southern Huvadhu Atoll, Maldives. Incident waves breaking on steep fore reefs and reef crests generate a setup proportional to offshore wave height that drives a cross-reef flow. We emphasize a critical threshold—where the depth on the reef flat equals the depth at wave breaking—that separates two distinct reef flow regimes: one dominated by strong, unidirectional flow from the ocean into the lagoon and another where wave breaking ceases, flow rates decrease, and occasionally reverse direction. Recognizing the relative importance of …

Human Chorionic Gonadotropin Decreases Cerebral Cystic Encephalomalacia And Parvalbumin Interneuron Degeneration In A Pro-Inflammatory Model Of Mouse Neonatal Hypoxia-Ischemia, Benjamin Miller, Alexander Crider, Bhooma Aravamuthan, Rafael Galindo

2020-Current year OA Pubs

Human chorionic gonadotropin (hCG) is an immunoregulatory and neurotrophic glycoprotein of potential clinical utility in the neonate at risk for cerebral injury. However, hCG has not been demonstrated to affect the pro-degenerative actions of inflammation in neonatal brain injury. Here we utilize a neonatal mouse model of mild hypoxia-ischemia (HI) combined with intraperitoneal administration of lipopolysaccharide (LPS) to evaluate the neuroprotective actions of hCG in the setting of systemic inflammation. Intraperitoneal treatment with hCG significantly decreased tissue loss and cystic degeneration in the hippocampus and cerebral cortex of term-equivalent neonatal mice exposed to LPS and HI. Noting that parvalbumin immunoreactive …

Leveraging The Pedsnet Clinical Research Network And Electronic Health Record Data To Enhance Efficiency Of Trial Enrollment For A Rare Pediatric Rheumatic Disease, Pamela F Weiss, Levon Utidjian, Mitchell Maltenfort, Hanieh Razzaghi, Timothy G Brandon, Cassandra Muir, Cora Sears, Edward J Oberle, Jennifer Cooper, Kevin Baszis, Mary B Toth, Esi M Morgan, Christopher B Forrest

2020-Current year OA Pubs

BACKGROUND: We evaluated the PEDSnet clinical research network for study enrollment of juvenile spondyloarthritis, a rare rheumatic disease that includes enthesitis-related arthritis (ERA) and psoriatic arthritis (PsA). METHODS: An electronic health record (EHR)-based typology was developed by an interdisciplinary team to query EHR data for a spectrum of pediatric rheumatic diseases (2009–2023) from 8 PEDSnet centers. The prevalence, characteristics and drug exposures for juvenile spondyloarthritis was explored to gauge feasibility of leveraging the network for study enrollment. Next, the typology was adapted to identify subjects for a clinical trial; the efficiency of EHR typology query was compared to standard screening …

Ai-Driven Stratified Modeling For Early Liver Disease Detection: A Comparative Study Of Ensemble And Conventional Machine Learning Classifiers, Ghadeer Murtadha Ali, Ali Aqeel Hadi, Mustafa Abdulkareem Abbas, Abdullah Alkarar Mohammad, Ahmed Fadhil Abdulhussein

AUIQ Technical Engineering Science

Background: Early prediction of liver disease remains challenging in routine clinical diagnostics due to the multifactorial nature of hepatic dysfunction and the limited discriminative capacity of conventional laboratory-only assessments.

Objective: This study aims to develop and rigorously evaluate a robust machine learning framework for binary liver disease classification, emphasizing predictive stability, diagnostic balance (sensitivity–specificity), and statistical reproducibility across repeated experiments.

Methodology: A structured dataset of 1,700 records with 11 features representing demographic, behavioral, genetic, and clinical determinants was used to train and compare five supervised models: CatBoost, AdaBoost, Random Forest, Support Vector Machine (SVM), and Decision Tree. Performance was assessed …

Review And Revision Of A Preclerkship Ophthalmology Curriculum By Senior Medical Students, Serina S Applebaum, Leena Surapaneni, Sofia Miguez, Christina Jayaraj, Phillip Braun, John Encandela, Ninani Kombo

Journal of Academic Ophthalmology

Background: Curricular time dedicated to ophthalmology is limited in undergraduate medical education. High-quality, early exposure to ophthalmology is necessary both as foundational training for all future physicians and to foster interest in the field.

Purpose: Through a student-led review, the present study aimed to evaluate and revise the preclinical ophthalmology curriculum at a medical school in the Northeastern United States.

Methods: Four senior medical students systematically evaluated the completeness and instructional effectiveness of preclinical ophthalmology curriculum materials for the 2024-2025 academic year. We evaluated alignment of content with the Association of University Professors of Ophthalmology (AUPO) standardized …

Rethinking The Mindfulness And Mindlessness In Media Evocation Of Human-Machine Communication: A Case Study On The In-Car Robot “Nomi”, Bing Wang, Longxiang Luo, Weizi Liu

Human-Machine Communication

The commonly used Media Equation framework in human-machine communication research exhibits limitations when explaining human-machine relationships in the AI era, giving rise to the Media Evocation paradigm. Based on the Media Evocation framework, this study employs in-depth interviews to investigate whether interactions between humans and the in-car robot Nomi are mindful or mindless, while also examining whether these interactions prompt reflections on the machine’s ontology. The findings indicate that most participants perceive Nomi as a human-like actor and interact with it mindfully. Highquality social cues, such as voice and facial expressions, can trigger mindful anthropomorphic responses in human-machine interaction, eliciting …

Human-Machine Communication: Complete Volume. Volume 12

Human-Machine Communication

This is the complete volume of HMC Volume 12.

Normalizing Ai: The Evanishing Effect And Rethinking The Machine Heuristic, Bumju Jung, Cameron W. Piercy, Patric R. Spence

Human-Machine Communication

This study examines how people evaluate factual claims attributed to human journalists versus artificial intelligence (AI) news bots, and how these evaluations are shaped by individual endorsement of the machine heuristic. An online experiment (N = 233) used a 2 (Agent: human vs. AI) × 2 (Information Veracity: accurate vs. inaccurate) design in which participants viewed a short tweet embedded in either a human or AI profile and then rated perceptions of source credibility, objectivity, bias, and accuracy. Endorsement of an AI-focused machine heuristic was significantly associated with higher source credibility, perceived objectivity, and perceived accuracy, and lower perceived bias, …

Ai Humanizers, Pragmatists, Skeptics: A Cluster Analysis Of Normative Attitudes For Ai’S Capabilities And Roles, Kate K. Mays, Ekaterina Novozhilova

Human-Machine Communication

This study explores people’s attitudes about artificial intelligence’s (AI) capabilities through a normative lens. Drawing from literature on phenomenological, ontological, and heuristic judgments about machines, we aim to better understand what capabilities people think AI should be able to have and how that relates to enthusiasm about having AI take certain roles in their lives. Survey participants (N = 601) were grouped via two-step clustering based on their attitudes, revealing three clusters: AI humanizers, who expect empathy and social interaction from AI; AI pragmatists, who expect cognitive capabilities; and AI skeptics, who prefer AI with limited human-like traits and emphasize …

Explain. Write. Edit. Summarise: An Exploratory Study On Agency Negotiations In Student-Chatbot Conversations, Árni Már Einarsson Mr, Ekaterina Pashevich

Human-Machine Communication

LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine existing practices. Supplementing prior research based on discourse analysis and self-reported measures (e.g., surveys and interviews), we propose an approach for analyzing naturally occurring student–chatbot interactions, rooted in conversation analysis of chats (n = 503) donated by eight current Danish university students. The analysis identifies conversational patterns across three main types of activities and examines how agency is negotiated across the structural dimensions of signification, domination, and …

Two Years To Madness: A 30-Month Journal Of Human–Machine Communication And Second-Hand Reality, Andrew Prahl

Human-Machine Communication

Drawing on a 30-month analytic-autoethnography of the first author’s journal as an earlyaccess OpenAI user, this study examines how sustained communication with generative AI affects everyday lived experience and identity. Inductive content analysis of 166 entries by independent coders is followed by theory-driven coding with the extended-mind and sensemaking frameworks. Three interlocking themes emerge. Enabled and Degraded captures the tension between new capabilities and efficiency versus creeping skill atrophy. Scary New World charts rising anxiety as productivity gains erode competitive and relational distinctiveness. The findings also show a growing, pervasive doubt about the human authorship of texts, images, and other …

The Material Condition: A Practice Theory-Oriented Infrastructural Turn To The Ethics Of Human-Ai Communication, Anne Mollen, Sigrid Kannengießer

Human-Machine Communication

This paper calls for an infrastructural turn in human–AI communication, centered on the materiality of generative AI. We argue that a nuanced understanding of ethical implications of generative AI necessitates examining the socio-technical infrastructures that constitute these systems. These infrastructures encompass not only technological artifacts but also human actors (developers, users, data subjects, etc.) and their practices as well as social contexts in designing, developing, implementing, and maintaining AI. Therefore, we propose to adopt a practice theory approach, to analyze how ethical concerns materialize within these infrastructures. This perspective reveals how infrastructures are contested spaces in global production chains, highlighting …

The Epistemic Power Of Human-Machine Communication, Katrin Etzrodt, Autumn P. Edwards

Human-Machine Communication

This editorial introduces Volume 12 of Human–Machine Communication by positioning communicative machines as epistemic provocateurs that unsettle inherited distinctions among agency, meaning, and relation. Rather than treating these disruptions as anomalies to be resolved, the editorial argues that Human–Machine Communication (HMC) is distinctively equipped to register, analyze, and sustain such epistemological tensions. Drawing on philosophical traditions from Aristotle to Marx and Heidegger, the authors show how contemporary communicative machines simultaneously strain multiple historical settlements that once stabilized human–machine boundaries. The volume frames HMC as a “seismograph” for and as a “practice of” epistemological change, tracing how agency and meaning are …

Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen

Human-Machine Communication

The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …

In The Blink Of An Eye, John C. Lyden

Journal of Religion & Film

This is a film review of In the Blink of an Eye (2024), directed by Andrew Stanton.

L. Marie Wood, Lisa Wood

Virginia Poets Database: A Literary and Educational Resource

No abstract provided.

Leaving The Lectern: Building Collaborative, Inclusive, And Reflective Undergraduate Learners With The Five Cs Model, Gwen Scott Ruttencutter, Kate Warner

Georgia Educational Research Association Conference

This session presents the authors’ model – the Five Cs – for building collaboration, inclusion, and reflection with undergraduate learners. The Five Cs model of Climate, Course Design, Co-Facilitation, Collaborative Assessment, and Critical Self-Reflection repositions the instructor from behind the lectern to within a circle of learning with others as a facilitator.

Drawing on principles of adult learning, learners are repositioned from passive receivers of information (Peters & Armstrong, 1998) to active co-constructors with the facilitator in shaping the learning environment course’s climate, as well as the course’s design, facilitation, assessment, and reflection.

In this …

One Story High, Audrey Sprenger, Ashley Vaughan

Fast Capitalism

Full Issue can be found here.

Developing Metacognitive Awareness In Teacher Candidates: A Study Of Curriculum And Planning In An Mat Program, Annemarie Bazzo Kaczmarczyk, Karyn Allee

Georgia Educational Research Association Conference

This study examines the development of metacognitive awareness among teacher candidates enrolled in an accelerated Master of Arts in Teaching (MAT) program. Drawing on Scales, Wolsey, and Parsons’ Becoming a Metacognitive Teacher and the Metacognitive Awareness Inventory for Teachers (MAIT), the study investigates how teacher candidates engage with metacognitive practices while completing a course on curriculum and planning. Participants (n ≈ 20) completed the MAIT survey at the beginning and end of the eight-week course, and engaged in structured reflection activities designed to support awareness of their own decision-making in lesson planning and instructional design. Data collection includes paired pre- …

Balancing Play And Policy: Navigating Joyful Learning In A High-Stakes Third Grade Classroom, Ashley P. Osier, Andrew N. Sutton, Marcus T. Wilson, Johna A. Wright, Karyn A. Allee

Georgia Educational Research Association Conference

This qualitative case study explores how a third-grade teacher in a Southeastern US state integrates active, playful learning in a high-stakes accountability environment. Despite increasing political and curricular restrictions—including mandatory retention policies, banned books, and high-stakes standardized testing—this teacher designs and implements learning experiences that center student engagement, voice, and joy. Drawing on classroom observations, semi-structured interviews, and instructional artifacts, the study investigates how she navigates formal and informal policies while maintaining developmentally appropriate and culturally responsive instruction.

Early findings suggest that playful pedagogies can not only coexist with accountability mandates but may also serve as a stabilizing force for …

From Transition To Transformation: Helping Learners Shape Their Educational Legacy, Kate Warner, Gwen Ruttencutter

Georgia Educational Research Association Conference

For many students, beginning college is more than an academic transition—it can be a deeply personal transformation. At Valdosta State University, the STRIDES (Students Together Reaching Individual Developmental and Educational Success) course supports this transition by blending active learning with guided self-reflection. A central element of the course, the legacy statement exercise, invites students to identify their core values, clarify their goals, and articulate the deeper “why” that sustains them through challenges.

Using an extensive set of value cards, students narrow 100 possible values into a “top five” and craft a single-sentence legacy statement that captures the impact they hope …

From Clicks To Clarity: Advanced Searching In Cinahl, Tracy Ashby, Jennifer Stockton

Library Class: Lunch & Learn

Take your CINAHL search to the next level. Learn practical techniques for combining Subject Headings, keywords, and filters to create strong, effective search strategies that support your evidence-based research.

Monitoring Of Dissolved Calcium Levels In Creeks, Embayment, And Kentucky Lake Waters In Western Kentucky, Majeda Dalloul

Posters-at-the-Capitol

In order to reduce economic and ecological impacts from aquatic alien species, studies are warranted across major taxonomic groups, geographic regions, and habitat types. This study addressed the dissolved calcium levels in Kentucky Lake and its implications for one of the top- ranked invasive species, the zebra mussel, and its colonization. Zebra mussels (Dreissena polymorpha) are well known for their “biofouling” capabilities, costing billions of dollars (for northeastern and midwestern states) in their removal from industrial, public, and power plant water supply lines. Calcium is one of the essential elements that contribute to the growth and reproduction of zebra mussels. …