Digital Commons Network^™

Price Discovery On Decentralized Exchanges, Agostino Capponi, Ruizhe Jia, Shihao Yu

Research Collection Lee Kong Chian School Of Business

Decentralized exchanges (DEXs) allow traders to express their willingness to pay for quick execution through a public priority fee bidding mechanism. We provide evidence that high-fee DEX trades are more informative and contribute more to price discovery. Using address-level blockchain transaction data, we show that informed traders persistently bid higher fees to secure early execution, revealing a strong willingness to pay for execution priority. Further, analysis of Ethereum mempool data demonstrates that informed traders employ a “jump bidding” strategy, placing high initial bids to deter potential competitors.

Enhancing Undergraduate Learning In Physics: The Effects Of Ai-Assisted And Ai-Guided Instruction On Knowledge, Self-Efficacy, And Satisfaction, Stephen Woods

Doctoral Dissertations and Master's Theses

Generative artificial intelligence (AI) tools such as large language models are increasingly used for self-directed learning, yet there is limited experimental evidence on whether they improve learning outcomes and whether theory-informed guidance adds value beyond AI use alone. Prior literature suggests that effective learning depends not only on access to information, but also on how instruction supports attention, working memory, long-term memory, and cognitive load, while also fostering motivational processes such as self-efficacy. Individual differences such as Need for Cognition may also shape how learners engage with cognitively demanding instructional tools such as AI.

The present study examined how different …

Information Theory Analysis Of The Solar Wind Magnetic Structures For Space Weather Prediction, Katherine Holland

Doctoral Dissertations and Master's Theses

Forecasting space weather at Earth is highly complicated, because of the limited measurements of the dynamic processes in the Sun that span multiple temporal, spatial, and energy-scales. The solar wind is a highly structured, multi-scale, evolving plasma and consists of coronal mass ejections (CMEs), stream interaction regions (SIRs), expanding flux tubes (Borovsky, 2008), and interplanetary magnetic field (IMF) discontinuities and fluctuations. The aim of this research is to improve our understanding of the evolution and dissipation of different scale-size solar wind magnetic structures as they move from the Sun-Earth Lagrange point 1 (L1) to Earth's bow shock and, ultimately, to …

Application Of The Tridiagonal Representation Approach And The J- Matrix Method Of Scattering In Theoretical Physics, Tunde Joseph Osunmusanmi

Dissertations

This dissertation is about the application of the Tridiagonal Representation Approach (TRA) in handling linear phenomenons, and for the first time, the J-matrix method of scattering in handling nonlinear phenomenons. The TRA is an algebraic method for solving linear ordinary differential equations of the second order. The advantage of the method in being algebraic is reinforced by the analytic power of orthogonal polynomials and special functions. On the computational side, it is favored as being reliant on powerful numerical techniques that deal with tridiagonal matrices such as Gauss quadrature and continued fraction. In the method, the solution of the differential …

Capacity For What? Elon Musk’S Doge, Public Value Destruction And The Darkside Of Policy Capacity, Adam Wellstead, Michael Howlett

Michigan Tech Publications

Purpose – This paper addresses a missing element in Wu et al.’s (2015) ninefold policy capacity framework: the ‘capacity for what’ question. Specifically, it explores the objectives toward which policy capacities are directed, focusing on how government capabilities and competencies can be utilized to either create or destroy public value. Design/methodology/approach – Through a literature review, the paper establishes the connections between public value and policy capacity. An illustrative case of value destruction, specifically, the US Department of Government Efficiency (DOGE) experience during the early second term of the Trump administration, is used to demonstrate how policy capacity can be …

Evaluating The Collision-Coalescence Process In Idealized Cloud Convection Using Large-Eddy Simulations With Lagrangian Microphysics, Yangze Ren, Kamal Kant Chandrakar, Fan Yang, Raymond Shaw

Michigan Tech Publications

Drizzle initiation through the collision and coalescence of cloud droplets plays a crucial role in warm cloud precipitation. Recent theoretical studies suggest that the influence of collisional growth on the droplet size distribution can be quantified by a non‐dimensional drizzle number (Dz). Here, large‐eddy simulations with Lagrangian microphysics are employed to evaluate the theory by simulating a tall convection‐cloud chamber under various conditions. Results show that the smaller the Dz, the larger the impact of collisions on the right tail of the droplet size distribution, consistent with the theory. The simulations confirm that the collision rate can be estimated from …

Efficient Energy Management In Networked Microgrids Using Multi-Agent Deep Reinforcement Learning In The Presence Of Uncertainties, Ayodele Benjamin Chukwuyem

Dissertations

Microgrid technology is essential in facilitating the transition to smart energy grids in developed countries and mitigating energy poverty in developing countries, particularly in areas where grid extensions are not feasible. Recently, the concept of networked microgrids (NMGs) has garnered tremendous attention due to the plausibility of interactions among interconnected microgrids leading to power networks that are more resilient, reliable, and stable. However, because each microgrid has diverse distributed generation resources (renewables and controllable generators) and each microgrid operator (MO) has different objectives, coordinated energy management is required to satisfy local and system-wide goals under conditions with significant uncertainty. Existing …

Arrival Is Not Access, Emmanuel Asamoah

School of Art, Art History, and Design: Theses and Student Creative Work

This thesis presents a group of sculptures and installations that explore how material, labor, and communication shape unequal access in diasporic life. It questions the common belief that movement, visibility, or relocation automatically leads to stability, care, or belonging. In my experience, arrival does not guarantee access. Using clay, steel and found materials, I create tension between softness and control. Many of these materials are worn and discarded. I cut and rebuild them, leaving marks of strain and repair visible rather than hiding them.

Repetition appears through rows of cast faces and a collection of telephones. These forms suggest shared …

From The Pit, Joshua C. Goering

School of Art, Art History, and Design: Theses and Student Creative Work

Clay retains histories; the memory of each action it experiences is depicted on its surface and in its form.  I am a potter focused on making objects that capture these moments. Pinching, scraping, trimming, throwing, and carving expose tooth and excavate form, revealing the qualities of the material and showing the marks of handwork. As a potter, I am interested in participating in a history of vessel making and understanding making through an interpretation of the historic object. The work acts as an archive, accumulating information about process, materials, and a greater context of elder objects. Integrating these vocabularies creates …

Effect Of Curing Duration On Bridge Deck Concrete Performance, Zhaniya Omarova

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This study evaluates the influence of curing duration on the performance of bridge deck concrete and investigates the feasibility of reducing curing periods without compromising structural and durability properties. Two concrete mixtures, a standard Nebraska Department of Transportation (NDOT) bridge deck mix (47BD) and an optimized reduced-cement-content mix (O47BD-R100), were evaluated under multiple curing durations Fresh, early-age, mechanical, durability, and shrinkage properties were assessed to characterize the effect of curing on concrete behavior. Internal relative humidity and temperature were monitored using embedded sensors to investigate moisture diffusion and its role in shrinkage development for lab specimens and full-scale slabs.

Results …

Variable Hybridization Rates Between F2 Fundulus Notatus Females, Jordan Tanaka

Honors Theses

Hybridization between two related species has been widely observed and offers a lens into complex evolutionary processes. Endogenous and exogenous factors affect hybrid fitness and diversification, and pre-zygotic and post-zygotic barriers affect species’ ability to hybridize. Female mate choice is a pre-zygotic isolation mechanism which is known to be more significant than male mate choice in many species, a trend which is linked to females often investing more energy into offspring. Detailing the ways in which these mechanisms operate is integral to understanding hybridization on a larger scale. The species examined here, Fundulus notatus and Fundulus olivaceous, are closely …

Brain Candy: Wayne State University School Of Medicine Journal Of Arts And Culture, 13th Edition, Wayne State University School Of Medicine Gold Humanism Honor Society

Gold Humanism Honor Society

Brain Candy incorporates paintings, written pieces, and poetry from all the medical classes at Wayne State University School of Medicine to shed light on the creative process in medicine, the city of Detroit, and the experiences of health care providers. This year, the journal is organized into four sections, each of which denotes a particular time period within medical school. The first edition of Brain Candy was published online and in print in 2009, produced by a generous grant by the Gold Humanism Honor Society (GHHS). The edition featured poetry, nonfiction, short fiction, and different types of artwork. With generous …

Strategizing Environmental Preparedness In West Virginia, Molly Ann Hardy

Graduate Student Scholarship

The environmental justice (EJ) movement recognizes that environmental harms and goods are not equitably distributed, especially in regions that have faced historical marginalization, structural inequalities, and extractive exploitation, such as Appalachia. In West Virginia, the only state fully contained within the Appalachian region, a changing climate and the legacy of extractive industry have scarred the landscape and its people. All 55 counties have experienced floods, totaling more than 2,000 flash flood events, and each county has been declared a federal flood disaster site at least nine times. As of 2020, 21% of bridges maintained by the West Virginia Division of …

Optometry Associations And The Free Rider Problem Revisited, Matthew Mullis, Joshua Hall, Edgar Orozco

Graduate Student Scholarship

Members of professional associations pay dues to professional associations for a variety of reasons, including lobbying. This can lead to a free-rider problem if non-members enjoy the benefits without paying. Using 2023 data from 30 states, we revisit earlier work on the free-riding problem by analyzing how continuing education requirements, number of optometrists, benefit salience, and legal services affect membership rates. We find no significant relationship between continuing education hours or total optometrists and membership percentages. We introduce two variables measuring selective incentives: salience of advertised benefits and availability of legal services. Legal services exhibit a negative association with membership …

William: The Musical, Tyler C. Green

Undergraduate Honors Thesis Projects

William: The Musical is the story of my parents’ struggle, and unfathomable loss while trying to start a family. The work follows the couple through their commitment to start a family together, through a devastating miscarriage, and up to the birth of my older brother, William. The work is still in progress, but is currently structured as a song-cycle including five songs in the style of contemporary musical theater. William: The Musical explores themes of loss and resilience, bringing to light the disturbingly common experience of miscarriage. While the creative goal aims to allow audiences to reflect and mourn their …

Social Support And Mental Wellbeing Among Veterinary Clinic Employees, Madison Koons

Undergraduate Honors Thesis Projects

Mental wellbeing is a significant concern for veterinary professionals and the subject of much discussion in the veterinary and academic fields. To determine whether social support is an effective protective factor for the mental wellbeing of veterinary professionals, I administered a survey to 879 veterinary clinics in Ohio, with ninety-two responses received for final analysis. The scales assessed mental wellbeing, organizational support, and nonorganizational support. I found organizational support, friends support, and family support to be positively correlated with mental wellbeing. Significant other support was not correlated with mental wellbeing. A linear regression evaluating social support as predictors of mental …

Just Unmasking Knowledge? A Critical Interpretation Of Fluctuating Jellyfish Populations For A Mass Media Audience, Wrenne R. Grone

Undergraduate Honors Thesis Projects

While podcasts may not be the most popular form of mass media, they are growing in their accessibility and prevalence in educational discourse. My creative work, in the form of a podcast, unmasks scientific knowledge in an untraditional, mass-media form and will use podcast techniques, such as music transitions and storytelling techniques, to maintain engagement. Additionally, my podcast aims to transpose academic knowledge into a comprehensible, interesting form for a non-academic audience. Jellyfish have no brains, no heart, no blood, and no bones and yet, they have survived for millions of years. The goal of my podcast is to educate …

Concerns Regarding The Efficacy Of Utilizing The Vibrational Response Of Aminocyanine Molecules To Near Infrared Light For Cancer Cell Destruction, Parsa Faghani-Eskandarkolaei, James Welsh, Seyed Ali Reza Mortazavi, Parmis Taghizadeh, Mobina Baramaki, Fatemeh Shams, Mohammed Nasir Abubakari, Seyed Mohammad Javad Mortazavi, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

Recent advancements in cancer treatment have introduced the use of aminocyanine molecules, activated by near-infrared (NIR) light, to induce vibrational responses that can selectively destroy cancer cells. This commentary critically examines a study that reports a 99% efficacy of this method against human melanoma cells in vitro, and significant tumor reduction in murine models. While the findings are promising, our analysis highlights crucial oversights in the study’s implications for clinical applications. Specifically, the persistence of even a small fraction of cancer cells post-treatment poses significant risks for tumor regrowth and acquired resistance. Additionally, the study’s approach neglects the heterogeneity of …

Can Financial Literacy Enhance Esg Disclosures?, Xiaoran Jia, Kiridaran Kanagaretnam, Kiat Bee Jimmy Lee, Chee Yeow Lim

Research Collection School Of Accountancy

Using an international sample of firms and two country-level measures of financial literacy, we find robust evidence of a positive relation between financial literacy and firms' Environmental, Social and Governance (ESG) disclosures. In cross-sectional analyses, we find that the effect of financial literacy in enhancing ESG disclosures is more prominent in poorer information environments, weaker legal institutions and weaker ESG reporting environments. Lastly, we find that financial literacy also enhances ESG performance. Our study contributes to and extends the literature by providing strong evidence that citizens' financial literacy enhances firms' ESG disclosure and the associated ESG performance.

Weather Rescue At Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships, Praveen Teleti, Ed Hawkins, Clive Wilkinson

Research Collection College of Integrative Studies

Ship logbooks represent a critical source of historical meteorological data, providing valuable observations of barometric pressure, air temperature, sea surface temperature, wind force and direction, and other variables. Substantial quantities of these records are unavailable to climate science as they have not yet been transcribed. We present ‘Weather Rescue at Sea’, a citizen-science project which transcribed millions of weather observations contained in 19th Century UK Royal Navy ship logbooks. We describe the logbook structure and weather observation-taking instructions and discuss significant challenges with the translation of handwritten text into accurate data due to errors arising from ambiguous handwriting, historical terminology, …

Structuring The Notional Imprisonment Period When The Accused Is Unfit To Plead – Abdul Ghufran Bin Abdul Wahid V Public Prosecutor, Abhishek Behera, Aaron Yoong

Research Collection Yong Pung How School Of Law

This case comment examines how Abdul Ghufran bin Abdul Wahid v Public Prosecutor [2025] 3 SLR 1572 brings clarity to Singapore’s “fitness to plead” regime by structuring the nominal imprisonment period (“NIP”) as a principled, non-punitive ceiling on confinement for unfit accused persons. It explains the General Division of the High Court’s four-step framework, the elevation of prevention over rehabilitation at the NIP stage, and the constrained role of mental disorders in adjusting the provisional term. It further highlights the decisive influence of psychiatric evidence and explores how the framework mediates between consistency, individualised justice, and public protection.

Advancing The Understanding Of Palliative Care In Singapore: Knowledge, Attitudes, Receptiveness, And The Moderating Role Of Media Information-Seeking Preferences, Su Lin Yeo, Angel Lee, Raymond Han Lip Ng, May O. Lwin, Yumin Lin

Research Collection Lee Kong Chian School Of Business

Introduction: Despite the growing demand for palliative care, this specialized medical care remains severely underutilized, with almost 50% of countries worldwide lacking access. Given that misperceptions and stigma continue to hinder progress in healthcare policy, this study aims to examine the relationships between palliative care knowledge, attitudes, and receptiveness to better understand how public health communication can enhance awareness and understanding of the topic in Singapore. Applying the adapted knowledge-attitude-practice (KAP) model, it further extends theory by examining the moderating role of media information-seeking between knowledge and receptiveness.Methods: Mixed-mode surveys involving 1,226 participants (926 online and 300 in-person respondents), representing …

Think First, Chatgpt Later: Guiding Human-Ai Collaboration For Learning Gains In Independent Human Creativity, Sarah Shi Hui Wong, Sophia Xuefei Qiu

Research Collection School of Social Sciences

Generative artificial intelligence (AI) tools such as ChatGPT can boost creative performance, but do these boosts translate into learning gains? This study examined whether the benefits of ChatGPT for creativity persist even when its assistance is removed, and how people can effectively use ChatGPT to enhance their learning and independent creativity. University students (N = 196) solved a creative product improvement task either independently (human-only group) or using ChatGPT freely (general-AI group) or using ChatGPT in a guided way (regulated-AI group). Specifically, the regulated-AI group used a novel “think first, ChatGPT later” approach—they first generated their own ideas, then collaborated …

The Citizen And The Smart City: A Global Comparison Of Institutional Logics, Tim Bunnell, Zachary Spicer, Byron Miller, Teresa Abbruzzese, Paolo Cardullo, Sangwon Chae, I-Chun Catherine Chang, Greig Charnock, Ming-Kuang Chung, Kwon Heo, Sue-Ching Jou, Andrew Karvonen, Olga Kordas, Kong, Lily, Ramon Ribera-Fumaz, Haeran Shin, Orlando Woods

Research Collection College of Integrative Studies

Crucial urbanists’ placement of smart city initiatives in Western Europe or North America mostly on the “low” rungs of participatory ladders or scaffolds does not mean that smart urban development necessarily connotes democracy-eroding neoliberalization everywhere. This article offers a more globally variegated and dynamic understanding of the relationship between citizens and smart cities. We apply an institutional logics framework to the citizen-smart city nexus in seven cities spanning three world regions, considering the interplay of citizen-centric logics with techno-innovation-oriented and bureaucratic/managerial logics. Appreciating contextually specific institutional orders helps to explain why similar initiatives and intentions yield different outcomes across time …

High-Resolution Monitoring Of Intra-Seasonal Agricultural Drought Using Sentinel-2 And Machine Learning Across Bimodal Growing Seasons In Kenya, S. Mohammad Mirmazloumi, Harison Kipkulei, Rose Waswa, Tobias Landmann, Tom Dienya, Maximilian Schwarz, Fabrizio Ramoino, Clément Albergel, Gohar Ghazaryan

All Peer-Reviewed Publications

Drought presents significant challenges to agriculture, threatening food security and livelihoods, across many regions. In Kenya, recurrent droughts across diverse agro-ecological zones emphasize the urgent need for reliable and scalable drought assessment methods. Although drought assessment with various datasets has been carried out for this region, many of them often use course or moderate resolution data. This study uses high-resolution Sentinel-2 observations and machine learning to monitor intra-seasonal crop conditions and assess drought impacts across bimodal growing seasons. Using pixel-based supervised random forest models trained with multiple vegetation indices as input, we classify croplands into drought-affected and unaffected areas. The …

Land-Use Changes Shape Mosquito Assemblages, Host-Feeding And Arbovirus Infection In Baringo County, Kenya, Caroline Getugi, Elizabeth Kokwaro, Anthony Nyamache, Inga Slothouwer, Gilbert Rotich, Rosemary Sang, Sandra Junglen, David P. Tchouassi

All Peer-Reviewed Publications

Environmental transformation driven by human activity has profound implications for the ecology of mosquito vectors and the pathogens they transmit. This study investigated the influence of land-use change on mosquito assemblages, host-feeding patterns, and arbovirus infection across sylvatic-rural-peri-urban land-use types in Marigat subcounty, Rift Valley, Kenya. Adult mosquitoes were collected using CO₂-baited CDC light traps and BG-Sentinel traps across three sites: Kiborgoch conservancy (sylvatic), Ntepes village (rural) and Marigat town (peri-urban). Sampling was conducted during three sessions including September 2022, August 2023, and December 2023. The mosquitoes were morphologically identified to species, and indices of abundance, richness and diversity compared …

Hypersiniel: Guaranteed Output Delivery Comes (Almost) Free In Private Delegation Of Zksnarks, Yunbo Yang, Yuejia Cheng, Junkai Liang, Kailun Wang, Xuanming Liu, Xiaoguo Li, Jianfei Sun, Jiachen Shen, Xiaolei Dong, Zhenfu Cao, Meng Hao, Guomin Yang, Deng, Robert H., Kui Ren

Research Collection School Of Computing and Information Systems

Zero-knowledge Succinct Non-interactive Argument of Knowledge (zkSNARK) is a powerful cryptographic primitive that enables a prover to convince a verifier that something is true without leaking the private witness.Current zkSNARKs face significant computational costs in generating proofs, which restricts their use in areas like private payments, confidential smart contracts, and anonymous credentials. Private delegation offers a practical solution by outsourcing the heavy computation to powerful external workers without leaking any private information. In this work, we propose HyperSiniel, an efficient private delegation framework for general zkSNARKs that achieves a new feature called guaranteed output delivery (GOD). HyperSiniel is designed to …

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 …

Dragging With Geometry: From Pixels To Geometry-Guided Image Editing, Xinyu Pu, Hongsong Wang, Jie Gui, Pan Zhou

Research Collection School Of Computing and Information Systems

Interactive point-based image editing serves as a controllable editor, enabling precise and flexible manipulation of image content. However, most drag-based methods operate primarily on the 2D pixel plane with limited use of 3D cues. As a result, they often produce imprecise and inconsistent edits, particularly in geometry-intensive scenarios such as rotations and perspective transformations. To address these limitations, we propose a novel geometry-guided drag-based image editing method—GeoDrag, which addresses three key challenges: 1) incorporating 3D geometric cues into pixel-level editing, 2) mitigating discontinuities caused by geometry-only guidance, and 3) resolving conflicts arising from multi-point dragging. Built upon a unified displacement …

Agentspec: Customizable Runtime Enforcement For Safe And Reliable Llm Agents, Haoyu Wang, Christopher M. Poskitt, Jun Sun

Research Collection School Of Computing and Information Systems

Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision-making and task execution. However, their autonomy introduces safety risks, including security vulnerabilities, legal violations, and unintended harmful actions. Existing mitigation methods, such as model-based safeguards and early enforcement strategies, fall short in robustness, interpretability, and adaptability. To address these challenges, we propose AgentSpec, a lightweight domain-specific language for specifying and enforcing runtime constraints on LLM agents. With AgentSpec, users define structured rules that incorporate triggers, predicates, and enforcement mechanisms, ensuring agents operate within predefined safety boundaries. We implement AgentSpec across multiple domains, including code execution, embodied agents, …