Digital Commons Network^™

A Proposal On Deciding Trademark Infringement Claims To Limit Confusion For Consumers, Abigail Holtzman

UIC Review of Intellectual Property Law

No abstract provided.

The Bastard Of The Arts And Copyright Law: The Intersection Of Dance And Copyright Law In Hanagami V. Epic Games, Inc., Alyssa Sitkowski

UIC Review of Intellectual Property Law

No abstract provided.

Game On: The Continuing Challenges For Enforcement Of Tattoo Copyrights, Yolanda M. King

UIC Review of Intellectual Property Law

No abstract provided.

2025 Conference On Undergraduate Research And Engagement Program Guide, Oseel

CURE Proceedings

Full program for the 2025 Conference on Undergraduate Research and Engagement with full listing of sessions presented

Bulletin: General Catalog Issue 2025-2026, Portland State University

Bulletin & Curriculum Change Documents

No abstract provided.

Hydrogen And Halogen Interactions With 2,6 Dimethoxypyridine, Margaret Manning Stucky

Electronic Theses and Dissertations

Raman spectroscopy and computational chemistry are used to explore the effects of non-covalent interactions with the nitrogen-containing building block 2,6-dimethoxypyridine. Previously, we have shown that hydrogen and halogen bonding with simple nitrogen containing heterocycles leads to partial charge transfer and evolving spectroscopic properties. Adding electron donating and withdrawing groups to azabenzenes should allow us then to tune these interactions. Here, 2,6-dimethoxypyridine (DMOP) with its two methoxy substituents offers an excellent opportunity to study the effect of electron withdrawal on spectroscopic observables. Unlike in previous studies, however, hydrogen bonding led to no discernable experimental spectroscopic changes in mixtures of DMOP and …

Examining The Relationship Between Moral Injury, Belief In A Just World, And Substance Abuse In Military Veterans, Alyssa Mae Wood

Electronic Theses and Dissertations

Combat-exposed veterans and military service members are at high risk of experiencing mental health problems. Although moral injury is recognized as a unique contributor to mental health challenges in this population, the relationship between changes in world belief, PTSD, and substance use remains unexplored. This cross-sectional quantitative study investigated the relationship among moral injury symptoms, changes in belief in a just world (BJW) and belief in an unjust world (BUW), and substance use in a sample of 122 combat-exposed U.S. military Veterans and service members.

Hierarchical regression analyses revealed that changes in BUW following potentially morally injurious events (PMIEs) significantly …

Green Dividends: A Case Study In Green Dividends And The Conditions For Private Ordering Solutions, Anne M. Tucker

Seattle University Law Review

This Essay introduces a novel private ordering solution to facilitate corporate investments in pro-social and environmental initiatives: Green dividends. Green dividends are an optional increase in shareholder dividends that are returned to the company to be reinvested in environmental initiatives or kept by a shareholder.

Green dividends pose an alternative to the current gridlocked debate that corporations can’t, won’t, shouldn’t, and shouldn’t even try to act in pro-social or environmental ways. Turning the common refrains on their head converts each narrative into an element for a successful private ordering solution: authority, accountability, shareholder buy-in, and government- backed enforcement. With Green …

Does Climate Disclosure Work To Reduce Greenhouse Gas Emissions? Emerging Evidence Suggests Cautious Optimism, Cynthia A. Williams

Seattle University Law Review

Significant regulatory resources have been spent developing global, voluntary climate and sustainability disclosure standards, such as the TCFD, TNRD, and ISSB’s Sustainability and Climate Disclosure standards, or domestically required disclosures, such as in the EU and in the U.S. Thus, it is important to evaluate whether this disclosure, particularly voluntary, qualitative disclosure, will have the power to shift the allocation of capital, will have a significant effect on the management of climate risk within firms, and ultimately will reduce climate change risk and biodiversity loss.

In this Article, several interrelated questions will be discussed. First, what does the empirical evidence …

A Flora Of Coyote Ridge And Flat, Inyo County, California, Martin D. Purdy

Aliso: A Journal of Systematic and Floristic Botany

California’s Sierra Nevada contains a disproportionate share of the state’s plant diversity and is one of the most floristically diverse regions of its size in the United States. The high Sierra Nevada, in particular, has been identified as an important center of species richness and endemism within the State. Anthropogenic climate warming is expected to disproportionately affect mountain ecosystems, and models have predicted habitat contraction and extirpation for many alpine plant taxa. A specimen-based inventory of the vascular plants and bryophytes of Coyote Ridge and Flat was conducted to establish baseline data for one such sensitive alpine and subalpine area. …

Presumptions Of Ai Malfunction: A Judicial Response To Ai Harms, Janine S. Hiller, Destynie J.L. Sewell

American University Law Review

In stark contrast to the recently revoked federal policy meant to incentivize the adoption of safe, secure, and trustworthy artificial intelligence systems, the July 2025 Winning the Race, America’s AI Action Plan succinctly summarizes its approach as “Build, Baby, Build!” Public discourse, as well, vacillates between artificial intelligence (AI) as a savior or an existential threat to society. To make effective decisions about AI governance, policy makers and regulators must not fail to recognize AI systems’ inherent weaknesses. Furthermore, whether citizens have recourse from harmful AI applications will also turn upon judicial balancing of competing interests between technological advancement and …

Speed Variation Based Power Regulation Concept For Dynamic Wireless Charging, Donovin D. Lewis, Sudarshan T. Harave, Omer Onar, Mostak Mohammad, Veda Prakash Galigekere, Gui-Jia Su, Dan Ionel

Electrical and Computer Engineering Graduate Research

On-road wireless charging of electric vehicles (EVs) in-motion could potentially reduce range anxiety or battery size with wide-spread deployment. The planning and implementation of such systems are greatly complicated due to their susceptibility to load variation inherent to traffic flow. This paper proposes a method for derisking the potential for traffic slowdowns by compensating for reduced vehicle speed and investigates how implementation may affect system performance. A load modeling case study is presented at 200kW for a mile of high-speed roadway employing speed-based power regulation with results indicating average power usage and maximum car hosting capability can be reduced by …

Fault-Tolerant High-Power Two-Phase Coreless Afpm Motor-Drive System Concept, Yaser Chulaee, Ali Mohammadi, Matin Vatani, Aaron M. Cramer, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper proposes a fault-tolerant, high-power two-phase coreless axial flux permanent magnet (AFPM) motor drive system concept. Initially, the performance of a two-phase variant of the coreless AFPM machine is compared with that of its three-phase counterpart using both 3D finite element analysis (FEA) and experiments. Thanks to the intrinsic unique features of coreless AFPM machines, the analysis of the results demonstrates that the two-phase configuration has comparable power density (kW/kg) and efficiency. In terms of fault tolerance, the two-phase configuration exhibits superior performance, as the mutual inductance between phases is zero, resulting in an electric machine with magnetically decoupled …

Ai In Newsrooms: Assessing Perception, Challenges And Possibilities In Bangladesh’S Media Landscape, Nadia Rahman

Theses and Dissertations--Communication

With the relentless progression of technological advancements, artificial intelligence (AI) has become a transformative force across various sectors, and newsrooms are no exception. Developed nations have already integrated AI into journalistic practices, showcasing its versatility in different news functions. However, the developing nations, including Bangladesh, a south Asian nation faces challenges in catching up, marked by technological and economic disparities. As an emerging economic force Bangladesh encounters different obstacles in the adoption of AI in its media landscape. Despite the expansiveness of its media industry, the country grapples with limited technological support and inadequate training opportunities. These challenges bring up …

Cybersecurity Training As Risk Communication: A Theory-Informed Model Of Employee Learning And Behavior Change, Daniel Chaney

Theses and Dissertations--Communication

Cybersecurity threats like phishing remain a persistent and costly challenge for organizations. Despite widespread corporate cybersecurity training (CCT) programs, many fail to produce lasting behavior change. This dissertation introduces the Training Knowledge Flow (TKF) Model to assess why such efforts often fall short. Grounded in communication theory, risk messaging, and adult learning principles, the TKF Model conceptualizes cybersecurity training as a staged process of learning, application, and behavioral adaptation. The model includes three phases: (1) Employee as Learner, focusing on message clarity and cognitive engagement; (2) Employee as Practitioner, assessing workplace transfer and training relevance; and (3) Employee …

"The Lgbtq Community, That's My New Church": An Examination Of Lgbtq+ Former Church Members' Experiences Of Religious Exit, Samantha N. Pfeiffer

Theses and Dissertations--Communication

This study examines the experiences of LGBTQ+ individuals who previously attended Independent Fundamentalist Baptist (IFB) churches, considering their experiences of being in the church, leaving the church, and rebuilding outside of the church. It also examines sermons from IFB churches that addressed topics related to the LGBTQ+ community to examine the teachings these individuals received while in the church. My examination of this topic was based in scholarly literature addressing the rhetoric of church sermons, the process and experience of religious disaffiliation, and Weick’s (1995) theory of organizational sensemaking. I used multiple qualitative methods in this study, including qualitative content …

Spaced Learning Approaches To Attitude Change: Impressions Of Individuals, Outgroup Prejudice, And Policy Endorsement, Emily Grace Ritchie

Yale Graduate School of Arts and Sciences Dissertations

How does the schedule of information delivery influence attitude change? While decades of research highlights the cognitive benefits of spaced learning for memory, little is known about whether these same principles extend to the domain of persuasion— particularly for socially meaningful or politically charged attitudes. This dissertation bridges cognitive and social psychological approaches by investigating whether spacing persuasive content over time enhances its ability to revise attitudes. Across three empirical chapters, I test the effects of spaced versus massed presentation of new information on evaluative judgements in three distinct domains: person impressions, social group attitudes, and policy support. In Chapter …

Smart: Semantic Mapping And Analysis For Regional Terrain Using Multi-Scale U-Net And Topsis, Rashmi Sonth

Master's Projects

Accurate land use classification is the backbone for urban planning. But with poor quality satellite images, varied landscapes and structures which are changing faster than ever, it becomes a challenge to define clear boundaries and hence to urban planning. This research explores the application of deep-learning model for land use classification and asses the suitability of the land. The proposed model combines a multi-scale U-Net architecture with Transformer blocks applied on a multi-spectral satellite images that improves the semantic segmentation greatly across the urban and rural regions. Additionally, a patch-wise segmentation is applied to overcome the common problem of feature …

Light Enhanced Electrochemical And Photochemical Co2 Reduction, Bo Shang

Yale Graduate School of Arts and Sciences Dissertations

The anthropogenic increase in atmospheric CO2 levels has driven a global push toward sustainable energy solutions that mitigate climate change while enabling carbon-neutral fuel production. The photocatalytic and photoelectrochemical reduction of CO2 into value-added fuels such as carbon monoxide (CO) and methanol offers a promising approach to harness solar energy for clean fuel generation. However, achieving efficient, selective, and stable CO2 reduction on a semiconductor surface remains a formidable challenge due to sluggish reaction kinetics, poor charge separation, and competing hydrogen evolution reactions. Recent advancements in molecular catalysts and semiconductor-integrated systems have demonstrated remarkable progress in overcoming these limitations, paving …

International Students' Information-Seeking Experiences With A Library Discovery Tool, Kristen Jacobson

Graduate Research Theses & Dissertations

The purpose of this parallel convergent mixed methods study was to assess how international students from non-native English-speaking backgrounds that represent significant subgroups of the U.S. international student population interact with an academic library website with a discovery tool, and the usability of the tool for these students. It explored the information-seeking behavior of a group of international students (n=14) from Asia, Saudi Arabia, and Africa, who were enrolled at a Midwestern National University. It provides usability information about the issues those students encountered and their experiences when completing 10 common academic research tasks using the university library’s discovery tool. …

Knörr Lattices For Elementary Abelian Groups Over Unramified Extensions Of Z_P, Marie Swartz

Graduate Research Theses & Dissertations

In this dissertation, we examine the existence of positive height Knörr RD-lattices for D an elementary abelian p-group and R an unramified extension of the p-adics Zp. Knörr lattices form an important subclass of the absolutely indecomposable lattices and have close connections to modular representation theory’s “local to global” behavior. We generalize many prior results, shown only when p = 2, to odd p when |D| = p3. Further, when p = 3, we show that a positive height Knörr RD lattice must have a projective summand when restricted to any maximal subgroup of D. The proof of this requires …

Applications Of Bayesian Functional Data Analysis, Zhexuan Yang

Graduate Research Theses & Dissertations

Functional Data Analysis (FDA) is a statistical approach used to analyze data that vary across a domain, such as curves or functions. This dissertation investigates Bayesian Functional Data Analysis (BFDA) through three applications. First, we explore the use of BFDA in outcome-dependent follow-up (ODFL) studies. After conducting simulation studies, we apply our model to cardiotoxicity and kidney function data. Second, we extend BFDA to genetic data by modeling DNA methylation levels with a three-parameter skew-normal distribution and an alpha-skew generalized normal distribution. This study also introduces a novel Multistage Markov Chain Monte Carlo (MMCMC) method with the goal of identifying …

The Fiction Of Possibility: How Possible Worlds Theory Explains The Impossible Worlds Of Science Fiction, Jacob Burlingame

Graduate Research Theses & Dissertations

This dissertation explores the ways that science fiction texts convey to the reader the worlds in which they are set. It identifies four main strategies through which a science fiction text conveys its world: Neologisms, Secondary Texts, Actual-World Analogs, and Exposition. Neologisms include any words that are coined by the author to describe an entity that only exists in the text world, which creates a fuller world by creating a referent for them. Secondary Texts are any other documents alluded to by the primary text, whether created for the text world or imported from the actual world; these secondary texts …

Functional Characterization Of The Hdt5 Gene In Aspergillus Flavus Morphogenesis, Mycotoxin Production, And Fungal Phytopathogenicity, Brenda Omburo

Graduate Research Theses & Dissertations

The present study aimed at elucidating the role of hdt5 in fungal morphology, mycotoxin production and in plant virulence in Aspergillus flavus. Currently, methodologies to prevent the negative impact of A. flavus are insufficient. It is known that expression of the hdt5 gene is dependent on hbx1, a master regulatory gene that affects expression of hundreds of genes in the A. flavus genome, controlling both development and secondary metabolism. However, while the aflatoxin gene cluster has been elucidated, the genetic regulatory mechanisms controlled by hdt5 are not fully understood. For this study, therefore, a complete strain set composed of a …

An Analysis Of Mental Health And Workplace Absenteeism, Kristin Marie Vrona

Graduate Research Theses & Dissertations

This dissertation examines the effect of mental health on own health-related absenteeism among employed adults in the United States, using data from the 2010–2014 Medical Expenditure Panel Survey (MEPS). The MEPS uniquely differentiates between absences due to one’s own health and those due to another person’s health, enabling causal estimation of individual-level factors influencing absence decisions.

The analysis incorporates both mental and physical health measures, including diagnostic indicators and self-reported general well being, which are used as proxies for severity that may affect both diagnosed and undiagnosed individuals. Results reveal a consistent pattern: individuals experiencing high psychological distress but lacking …

Factors Related To Teachers’ Behavioral Intention To Continue Using Digital Game Based Learning To Teach Arabic, Hassan Alhashimalsayed

Graduate Research Theses & Dissertations

This study examined the factors related to teachers’ behavioral intention to continue using digital game-based learning technology inside the classroom and how teachers perceive such tool to facilitate the process of teaching. The purpose of this case study was to investigate how the attitudinal factors of the UTAUT model (performance expectancy, effort expectancy, and social influence) and background factors (gender, age, teaching experience, educational level, teaching rank, and extent of DGBL integration) predict teachers’ behavioral intention to continue using a digital game-based learning technology in their teaching to improve their performance in teaching Arabic language to Saudi students. The study …

Geometric Function Theory On Uniformly Quasiconformally Homogeneous Domains, Allyson Mackenzie Hahn

Graduate Research Theses & Dissertations

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Uniformly quasiconformally homogeneous domains in $\mathbb{R}^n$ carry a transitive collection of $K$-quasiconformal maps for a fixed $K\geq 1.$ In this dissertation we investigate three questions in this setting. The first is to show that quasiconformality and quasisymmetry with respect to the quasihyperbolic metric are equivalent. The second is to study normal quasiregular maps from such a domain into $S^n$ or $\mathbb{R}^n$ and determine they hold geometric properties such as a uniform Hölder condition. The third is to study preimages of a power-type mapping and show they are well-distributed in a precise sense.

Efficient Algorithms For Nearest Correlation Matrix Computation With Missing Data, Ibrahim Eniola Oyeyinka

Graduate Research Theses & Dissertations

This thesis investigates efficient algorithms for computing the Nearest Correlation Matrix (NCM) under incomplete financial data. Correlation matrices are vital in portfolio optimization and risk management, yet empirical estimates often violate symmetry, positive semidefiniteness, and unit diagonal conditions due to missing observations. Two projection-based methods are analyzed: the Modified Alternating Projections (MAP) and Anderson Acceleration (AA). Theoretical analysis using convex optimization and normal cone characterization supports numerical evaluation on synthetic and real-world stock-return matrices (550×550, 2020–2025). Missing data are modeled through Missing Completely at Random (MCAR) and Not Missing at Random (NMAR) mechanisms. The results show that AA converges faster …

Deep Underground Neutrino Experiment Data Caching With Frontier, Alexander Rahe

Graduate Research Theses & Dissertations

The Deep Underground Neutrino Experiment (DUNE) is an unprecedented long baseline neutrino experiment that aims to measure various neutrino mixing parameters. With state-of-the-art technology, DUNE will measure neutrino mixing angles (θ13, θ12, θ23) and a Charge-Parity (CP) violating phase (δcp) with precision and will determine the elusive mass ordering. In order to accomplish these goals, scientists all over the world must have quick and reliable access to the data provided by the DUNE detectors. The data caching system known as Frontier is a distributed database caching system that was previously used in other large particle physics experiments for this purpose. …

Audit Culture And A Nonprofit In Northern Illinois, Onyenum Ruth Udoh

Graduate Research Theses & Dissertations

Audit culture has become a defining feature of nonprofit life, shaping how organizations balance accountability to donors with responsibility to their communities. While existing scholarship often highlights large or international NGOs, less is known about how small and mid-sized nonprofits in the United States experience these pressures. This study focused on nonprofit in DeKalb County, Illinois, to examine how audits, donor restrictions, and accountability demands influence nonprofit practices, priorities, and relationships with their communities. Grounded in ethnographic fieldwork and organizational anthropology, I conducted eight weeks of participant observation and semi-structured interviews with seven staff across leadership, finance, program, and administrative …