Digital Commons Network^™

Training Language Models For Bilateral Trade With Private Information, Dirk Bergemann, Soheil Ghili, Xinyang Hu, Chuanhao Li, Zhuoran Yang

Cowles Foundation Discussion Papers

Bilateral bargaining under incomplete information provides a controlled testbed for evaluating large language model (LLM) agent capabilities. Bilateral trade demands individual rationality, strategic surplus maximization, and cooperation to realize gains from trade. We develop a structured bargaining environment in which LLMs negotiate via tool calls within an event-driven simulator, separating binding offers from natural-language messages to enable automated evaluation. The environment serves two purposes: as a benchmark for frontier models and as a training environment for open-weight models via reinforcement learning. In benchmark experiments, a round-robin tournament among five frontier models (15,000 negotiations) reveals that effective strategies implement price discrimination …

A Model For Professional Organization Membership Support: Trust, Commitment, Membership Value, And Relationship Quality Commitment, Shawn F. Clouse, Nader H. Shooshtari, Simona Stan, Liz Kohl

AMTP Proceedings 2026

Members of professional associations join these organizations for reasons that include benefits and services to members, advocacy and lobbying on behalf of members and their interests, networking opportunities, and a sense of community and identification with fellow association members. Members are likely to commit to the association and remain as members to the extent they are satisfied with what the association provides and if they perceive the benefits to exceed the costs (not just monetary) of membership. This survey of members of a professional association investigates the relationship between trust, relationship quality commitment, membership dues value and commitment (normative, affective, …

When Faces Do Not Help: Visual Design And Engagement For B2b Technology Brands On Instagram, Ali Jamei, Sima Sabahi

AMTP Proceedings 2026

Firms increasingly use visual content on social media to connect with customers, yet most evidence on what drives engagement comes from consumer or personal contexts. This study examines how simple visual features in Instagram photos posted by B2B technology brands relate to engagement, interpreted through processing fluency. The dataset contains 600 photos from 30 B2B technology brands. For each image, we record likes and comments, collect brand and post level metadata, and use Microsoft Azure computer vision tools to detect faces, classify their age group and gender, and identify the dominant background color. Negative binomial models show that the presence …

Transactional Platforms Under Goal Duality: Managing Tensions With Coordination Strategies, Nikolina Koporcic, Vesna Damnjanovic, Johan Frishammar, Vinit Parida

AMTP Proceedings 2026

While traditional transaction platforms like Airbnb emphasize economic value creation, some emerging platforms increasingly strive to pursue both economic and social goals. Balancing these dual goals creates tensions, especially in resource-constrained contexts, requiring innovative coordination strategies. Drawing on collective action theory and platform literature, we investigate how four start-up platforms pursuing dual goals manage these tensions. Using case study data from 64 interviews and extensive secondary sources, we identify six core tensions related to mission, user inclusion, scalability, operational control, community engagement, and stakeholder communication. We demonstrate how three key coordination strategies—framing, convening, and multivocality—help alleviate these tensions. Our study …

Consumer Insights About Wood Pellets And The Heating Industry, Marlana Krug, Camille Gagnon, Harrison Synder, Ashton Rounsley

AMTP Proceedings 2026

This study investigates consumer purchasing behaviors and decisions within the wood pellet and heating industry with a focus on Central Pennsylvania. Research examined the decisions behind heating sources, pellet retailers, and pellet vendors. These findings are focused on understanding the purchasing habits of consumers, preferred retailers, and other considerations that influence pellet choice. Gaining an understanding of these purchasing choices and heating options is essential for improving marketing strategies. The Customer Engagement Theory served as the theoretical framework for this research, while the survey used quantitative questions to conduct and gather data on household decision-making.  Overall, the findings highlight the …

Deploying Root-Cause Analysis (Rca) Agents: An Implementation Blueprint For Ai-Augmented Marketing Analytics, Seojoon Oh

AMTP Proceedings 2026

Artificial intelligence is widely adopted in marketing, yet many organizations struggle to translate analytical outputs into timely action. This paper presents a practitioner-oriented blueprint for deploying root-cause analysis (RCA) agents within AI-augmented marketing analytics systems. We propose a three-layer reference architecture—semantic data layer, autonomous RCA agent, and action layer—that enables continuous anomaly detection, causal diagnosis, explanation generation, and recommendation delivery. Through simulated e-commerce use cases, we demonstrate how RCA agents identify performance disruptions such as email engagement declines and checkout failures, and translate diagnostic findings into actionable guidance. Beyond system design, we outline organizational workflows, trust-building validation loops, scalability pathways …

Aiw26s: Machine Learning Of Structured Data, Moumita Saha

Paul English Applied Artificial Intelligence (AI) Institute Publications

This workshop introduces the fundamentals of machine learning for structured data, focusing on tabular datasets and real-world applications. Participants explore key concepts such as data types, data preprocessing, feature engineering, and supervised learning methods. The session covers commonly used models, including linear regression, logistic regression, decision trees, and neural networks, along with evaluation metrics such as RMSE, accuracy, and confusion matrices. By the end of the workshop, participants will have gained a practical understanding of how to build, interpret, and evaluate machine learning models for structured data.

Exploring System Wide Trust And Dependency Behavior Within An Aviation Environment, Austin Jackson

Psychology Theses & Dissertations

The present study examined the theory of system-wide trust within the context of a multi-tasking aviation environment. Previous research suggested that unreliable automation can negatively affect a human operator’s trust in reliable automation within the same system (Rice & Geels-Blair, 2010). However, previous studies have not looked at how trust develops in the context of a multi-tasking environment, nor how different types of errors may affect trust in and the use behavior of automation. The current study employed a 2 x 2 mixed design with drone reliability (60% reliable vs 90% reliable) and error bias (false alarm vs. miss errors) …

An Integrated Bayesian Network-Based Zero Trust Model To Quantify Cyber Risk In Small-Medium Businesses, Ahmed Abdelmagid

Engineering Management & Systems Engineering Theses & Dissertations

Small-medium businesses (SMBs) play a pivotal role in the worldwide economy as they constitute the most considerable portion of businesses in developed countries like the UK and the US. As such, SMBs are likely targets of cybercrimes by malicious agents because of their vulnerable IT systems. The digital infrastructure of SMBs is more likely to be hit by cyberattacks than large businesses due to many factors that facilitate hackers’ missions. These factors include a limited financial budget devoted to cybersecurity, a lack of knowledge, an underrating of how dangerous cyber threats are, and a shortage of IT expertise. The enormous …

Shadowrunning The Human: Harebrained Schemes' Shadowrun Series And Transhumanism, Alexander P. Orelup

English Theses & Dissertations

I argue that Harebrained Schemes’ video game series Shadowrun critiques transhumanism in three distinct yet related ways: in terms of religion, political control, and identity capitalism. In doing so, Shadowrun attempts to counter claims that video games are an inherently transhumanist medium and provides an opportunity for players to resist a potential transhuman future. This further elucidates the trends and perceptions of transhumanism within American culture around the time period. I utilize a variety of methodologies in my argument, ranging from cultural studies, narratology, ludology, and close reading in order to grasp all of the audio-visual and gameplay elements that …

Workforce Resilience In Public Transportation Agencies, Kristal D. Metro

Civil Engineering ETDs

A strong, resilient public workforce is necessary to keep the United States’ infrastructure system running smoothly. Across the public sector, hiring is lagging behind increasing retirement rates, leaving public agencies facing the loss of institutional knowledge at unprecedented levels. Combined with above-average retirement rates, low unemployment rates, and below-average salaries, workforce shortages are expected to become critical, putting the resilience of the public transportation workforce, and by extension, the United States public infrastructure and services at risk. The purpose of this research is to determine the best practices for recruiting and retaining employees at public transportation agencies, thereby positively influencing …

Modeling Early Indicators For Success In An Associate Degree In Nursing Program, Joseph D. Moss

Educational Leadership & Workforce Development Theses & Dissertations

Persistent nursing workforce shortages across the United States have increased the importance of Associate Degree in Nursing (ADN) programs as primary entry points into the profession. Community colleges prepare a substantial portion of the nursing workforce; however, attrition within ADN programs limits the number of graduates entering practice. Understanding factors associated with academic performance and program completion is essential for strengthening nursing education pathways and supporting workforce development. The purpose of this quantitative study was to examine early academic and sociodemographic factors associated with successful completion of an ADN program at a suburban community college.

Guided by Becker’s Human Capital …

Downstream Effects Of Post Aerobic Digestion And Divalent Cation Treatment: Dewaterability, Phosphorus Mitigation, And Process Odors, Maya Marisol Quijano Garcia

Civil & Environmental Engineering Theses & Dissertations

This study evaluated post-aerobic digestion (PAD) with aeration, mixing, and divalent cation addition to improve phosphorus capture, dewaterability, and odor control in thermal hydrolysis process (THP)–treated anaerobic digestate at the Hampton Roads Sanitation District’s Atlantic Treatment Plant. A three-day PAD process was operated under constant air flow (5 LPM) and dissolved oxygen (DO)-setpoint (0.2 mg/L) aeration conditions with Ca(OH)₂ or Mg(OH)₂ dosing. Aeration and mixing alone increased polymer demand by 14–46 % relative to untreated influent, indicating enhanced extracellular polymeric substance release. Chemical conditioning partially mitigated this increase but did not restore polymer demand to baseline levels. Dewatered cake total …

Swimming Behavior Of Longfin Squid Doryteuthis Pealeii Paralarvae: Escape Jets To Pirouettes, Mel Lhuillier

Biological Sciences Theses & Dissertations

Upon hatching, squid paralarvae must become proficient at locomotion and prey capture before their yolk reserves are depleted, while also contending with the physical constraints associated with low/intermediate Reynolds number (Re) environments. Although some aspects of behavior and jet dynamics have been examined in squids during early ontogeny, little is known about routine behaviors in paralarvae, whether repeatable patterns are employed, or how these behaviors are achieved dynamically. To better understand swimming behaviors and the propulsive flows that drive them in paralarvae, high-speed video data and digital particle image velocimetry (DPIV) data were collected simultaneously from longfin squid Doryteuthis pealeii …

Extending The Job Demands-Resource Model In Classified Work Environments: A Longitudinal Analysis Of Job Demands, Resources, Job Satisfaction, And Retention Among Engineers, Gregory Gooden

Engineering Management & Systems Engineering Theses & Dissertations

The Job Demands–Resources (JD-R) model is a widely used framework for understanding how work conditions influence employee attitudes and retention-related outcomes. However, empirical evidence testing JD-R dynamics in classified technical work environments remains limited, particularly using longitudinal designs that account for structural constraints, nonrandom participation, and outcome-specific measurement challenges. Classified work is characterized by persistent demands, restricted flexibility, and security-driven limitations on available resources, raising questions about whether and how JD-R processes generalize to this context.

This study examines whether job demands and job resources predict subsequent job satisfaction and retention intent in a classified technical workforce using multi-wave longitudinal …

Role Of Listeria Adhesion Protein In Monocyte-Associated And Extracellular Translocation Of Listeria Monocytogenes Across The In Vitro Placental Barrier Co-Culture Model, Ayesha Atique

Biological Sciences Theses & Dissertations

Listeria monocytogenes is a facultative intracellular foodborne pathogen capable of crossing the placental barrier, leading to miscarriage, stillbirth, and neonatal sepsis, and has a fetal/neonatal fatality rate of ~20–30%. Although the importance of canonical virulence factors such as Internalin A (InlA) and Internalin B (InlB) in L. monocytogenes crossing of the placental barrier has been demonstrated, clinical strains lacking functional canonical internalins have been reported to cause severe neonatal disease, suggesting additional mechanisms of placental translocation.

To investigate these virulence mechanisms, we adapted a physiologically relevant co-culture human placental barrier Transwell model composed of BeWo trophoblasts and primary human placental …

Profiles Of Science Students’ Achievement Emotions: An Exploration Of Motivational Antecedents And Persistence Outcomes Over Time, Arianna White-Levatich

Educational Leadership & Workforce Development Theses & Dissertations

This is a longitudinal study focused on the importance of students’ beliefs and emotions for their persistence in science majors. The primary goals of this study are threefold. First, to examine how undergraduate science students’ academic achievement emotions combine into profiles across two time points in the context of introductory Chemistry and Biology Courses. Second, to examine how students’ beliefs and perceptions of belonging relate to profile membership and to the likelihood that students will transition between profiles of emotions over time. Third, to evaluate how emotion profile membership and transition are related to students’ intentions to pursue science and …

Biocrude From Organic Waste And Its Conversion To Hard Carbon: Experimental And Modeling Study, Isamu Umeda

Civil & Environmental Engineering Theses & Dissertations

This study establishes a technical and theoretical foundation for the efficient conversion of organic waste into biocrude and high-value carbon materials, aiming to facilitate the industrialization of hydrothermal and solvothermal liquefaction. The dissertation research is structured as follows:

Chapter 2 developed a novel chemical kinetic model for the HTL of corn stover based on elemental balances (C, H, N, and O). By incorporating temperature, residence time, solid loading as an independent variable, the model successfully predicted product yields and properties, revealing that there was non-pseudo-first-order reaction pathways in the conversion of water soluble organics in aqueous phase (AP) to hydrochar. …

Engineering Cryogenic Thermal Links And Transport Systems For Conduction-Cooled Superconducting Cavities, Jacob B. Lewis

Mechanical & Aerospace Engineering Theses & Dissertations

The Thomas Jefferson National Accelerator Facility (Jefferson Lab) is currently developing a prototype conduction-cooled 915 MHz SRF cryomodule proposed for industrial use, capable of increasing the energy of an electron beam with 5 mA current by ~ 4 MeV. Two Nb3Sn resonant cavities are under development for this project, in which cryogenic cooling is provided by closed cycle refrigerators (cryocoolers). One cavity utilizes high-purity electroformed copper on the outer surface to provide heat extraction from the cavity, the other relies on high-purity aluminum thermal links. This thesis investigated the thermal conduction pathways between the cavities and cryocooler cold heads, with …

Bioengineering The Future Of The Human Species: H+’S Ideological Iterations Of Trans-/Posthumanity As Exemplified By Futurist Literary Texts = (Bio)Technological Solutions For (And/Or) Reification Of Systemic Inequities?, Marjorie E. Bomhower

English Theses & Dissertations

While humanity has, throughout our species’ history, endeavored to dream and create astonishing, and ever-evolving, (bio)technologies with the utopian ideals of bettering our day-to day lives and achieving greater longevity, our endeavors have (thus far) not only produced remarkable, beneficial advances in longevity and quality of life, but have also yielded devastating and dire outcomes; often at the cost and victimization of marginalized communities. This dissertation focuses on select (bio)technologies – particularly, those promoted by H+ (the most current and popular technoutopianist non-profit, “educational,” organization) – with an investigation of current and nascent (bio)technological evolutions, futurist literary texts, and critical/digital …

Comparative Kinetic And Thermal Characterization Of A Full-Length And Truncated Variant Of Endo-Β-1,4-Glucanase From Bacillus Subtilis, Cara Giordano

Bioengineering Master's Theses

The enzyme Endo-β-1,4-Glucanase from Bacillus subtilis, commonly known as BsCel5A, catalyzes the hydrolysis of β-1,4-glycosidic bonds in cellulose aiding in biomass deconstruction and its conversion into fermentable sugars. Efficient, thermostable cellulases are critical for reducing the cost and energy demands of lignocellulosic bioprocessing. Unfortunately, many naturally occurring enzymes are limited by activity rate and stability in bioprecessing conditions, especially high temperatures. In this study, we compared the catalytic and thermal properties of wild-type BsCel5A (BsCel5A‑WT) and a truncated catalytic core variant (BsCel5A‑CC) to evaluate their efficiency and thermostability. The catalytic and thermal properties were investigated through the hydrolysis of …

Life Cycle Costing Of Modular Timber Residential Construction, Logan Micah Hammel

Construction Management

This study examines the economic feasibility of modular residential construction using life-cycle costing (LCC) and life-cycle assessment (LCA) approaches to assess the sustainability and maintenance costs of modular construction. Using the structures and documents from the Gateway Decathlon project as the subject, we applied LCC formulas and programs to assess their economic performance. These calculations were conducted manually in Excel and modeled using the OpenLCA platform to compare traditional and software-based approaches. The study aims to identify cost drivers across building scopes, such as building materials and electrical and mechanical systems, and to evaluate how modular construction performs over its …

Dirges Of Hope, Manasseh Azure Awuni

Department of English: Dissertations, Theses, and Student Research

Among the varied themes that African fiction explores, politics and governance remain the most dominant across generations. Writing under oppressive and exploitative colonial administrations, the first generation of African storytellers used fiction to highlight the injustice of colonial rule. With fidelity to the African proverb that says the tales of hunting will always glorify the hunter until the lion learns to tell its own stories, African writers also used fiction to push back against one-sided, toxic narratives about the continent. After independence, when rulers of the new republics continued the colonial legacies of oppression, inflicting untold hardships on their citizens, …

Scraping Bad: The Case For A Unified Scraping Framework, Eunchong Moses Park

Washington and Lee Law Review Online

This Note explores the growing legal and regulatory landscapes of web scraping in the United States and argues that web scraping should be regulated through a unified federal framework tailored to its unique technological and economic realities. Web scraping allows organizations to collect massive amounts of data essential to their operational needs—often without the consent of data holders. Thus, web scraping has become a powerful engine of innovation used across virtually every sector of the economy but with a serious risk to privacy and property interests. Yet the current U.S. legal framework lacks a coherent regulating structure. Courts and litigants …

Sustainability In Concrete: Decision-Makers, Dismissal Points, And A Framework For Implementation, Max Dennison

Construction Management

Concrete is essential to modern infrastructure, but is also one of the largest sources of embodied carbon, with cement production alone responsible for a significant share of global CO₂ emissions. Although low-carbon and otherwise “sustainable” concrete technologies are growing, their use in everyday projects remains limited. This research investigates why sustainable concrete options are most often dismissed during the project lifecycle, who drives these decisions, and what conditions are needed to enable broader adoption. Using a combination of literature review and semi-structured interviews with professionals in contracting, life-cycle assessment, sustainability consulting, and materials production, the study maps decision points from …

Semat: Semantic Enhanced Natural Image Interactive Matting, Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Recent approaches attempt to adapt powerful interactive segmentation models, such as SAM, to interactive matting and fine-tune the models based on synthetic matting datasets. However, models trained on synthetic data fail to generalize to complex and occlusion scenes. We address this challenge by proposing a new matting dataset based on the COCO dataset, namely COCO-Matting. It selects real-world complex images from COCO and converts semantic segmentation masks to matting labels. The built COCO-Matting comprises an extensive collection of 36,980 human instance-level alpha mattes in complex natural scenarios. Furthermore, existing SAM-based matting methods extract intermediate features and masks from a frozen …

Bridging Bug Localization And Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models, Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li

Research Collection School Of Computing and Information Systems

Automated issue fixing is a critical task in software debugging and has recently garnered significant attention from academia and industry. However, existing fixing techniques predominantly focus on the repair phase, often overlooking the importance of improving the preceding bug localization phase. As a foundational step in issue fixing, bug localization plays a pivotal role in determining the overall effectiveness of the entire process. To enhance the precision of issue fixing by accurately identifying bug locations in large-scale projects, this paper presents BugCerberus, the first hierarchical bug localization framework powered by three customized large language models. First, BugCerberus analyzes intermediate representations …

Evolution Of Antibiotic Responses During Chronic P. Aeruginosa Infections In The Human Lung, David Frank Ritz

Dartmouth College Ph.D Dissertations

Typical antibiotic susceptibility testing (AST) of microbial samples is performed in homogeneous cultures in batch environments, which does not account for the highly heterogeneous and dynamic nature of antibiotic responses. The most common mutation found in P. aeruginosa lineages evolved during chronic cystic fibrosis infections in the human lung, a loss of function of repressor MexZ, increases basal levels of multidrug efflux MexXY, but does not increase resistance by traditional minimal inhibitory concentration (MIC) assays. Here, we use single cell microfluidics to show that P. aeruginosa’s response to aminoglycosides is highly heterogeneous, with only a subpopulation of cells surviving exposure. …

Behavioral-Centric Team Evaluation Via Consistent Rewards, Clement Kudakwashe Nyanhongo

Dartmouth College Ph.D Dissertations

Across human domains ranging from sports to business and organizational settings, complex tasks are often solved by teams rather than individuals, leveraging benefits such as interaction, mutual support, complementary skills, cohesion, and task allocation. Evaluating team effectiveness, however, is inherently challenging due to the subjectivity of many existing techniques and the limitations of outcome-driven metrics that primarily focus on performance scores while overlooking the team processes that generated the scores. To address these challenges, this dissertation proposes a behavioral-centric, end-to-end framework for team evaluation grounded in reward functions that model sequential team behavior. Reward functions offer compact and interpretable representations …

Advancement And Characterization Of Next-Generation Solid-State Photon-Counting Image Sensors For Astrophysics Applications, Nicholas R. Shade

Dartmouth College Ph.D Dissertations

Astronomers’ pursuit of detecting light from increasingly faint and distant objects in the expanse of space necessitates continuous improvement in signal-to-noise ratio of camera technology. Recent advancements in solid-state detector technologies have enabled the determination of photon-number, including single photon events, enabling observations at the fundamental limits of physics. These developments are instrumental not only for standard two-dimensional imaging but also for advanced spectroscopy, which increasingly drives future astrophysical applications. This thesis presents an evaluation of three next-generation silicon-based detectors capable of photon-counting with deep-sub-electron input-referred read noise: the electron-multiplying charge-coupled device (EMCCD), the single-photon avalanche diode (SPAD), and the …