Digital Commons Network^™

Bridging Images And Language In Radiology: A Comprehensive Prisma Systematic Review Of Transformer Vision-Language Models And Clinical Readiness, Mohammad T. Khasawneh Dr., Sadaf Tabatabaee

Systems Science and Industrial Engineering Student Scholarship

Transformer vision-language models (VLMs) promise end-to-end automation of radiology reporting and related multimodal tasks. However, evidence remains fragmented across datasets, architectures, evaluation practices, and levels of clinical validation, limiting fair comparison and safe translation into practice. Following PRISMA 2020/PRISMA-S, search engines including PubMed, IEEE Xplore, Web of Science, and Google Scholar were systematically searched for peer-reviewed, English-language studies published between 2019 and 2025 that used paired radiology images and free-text reports. Dual reviewers screened records and extracted data using a locked schema covering datasets, modalities, architectures, training objectives, evaluation metrics, and indicators of clinical readiness. Free-text model descriptions were normalized …

Stoker-Fired Laboratory Boiler As A Tool For Optimising The Solid Fuel Combustion Process, Przemysław Rompalski, Justyna Guzy-Proc, Mariusz Kieczek

Journal of Sustainable Mining

This paper presents the results of quality testing performed on a stoker-fired laboratory boiler to present the technical potential of the boiler as a tool for optimising the combustion process of prepared solid fuels (granulate, energy blend) in the context of current demands related to the decarbonisation policy. The comprehensive testing of such fuels at a laboratory scale makes it possible to gain deep insights into the quality parameters of the fuel, flue gas and combustion waste, as well as to determine the combustion process parameters before the fuel is introduced for combustion in broader power engineering and household boilers. …

Commencement Of The Class Of 2026, Illinois Math And Science Academy

Ceremony

PROGRAM

POMP & CIRCUMSTANCE From Military Marches Op.39, No.1 Edward Elgar

PLEDGE OF ALLEGIANCE Angel Castillo Campa, Class of 2026

REFLECTIONS ON GRADUATION DAY Molly Federici, Class of 2026

INTRODUCTION OF COMMENCEMENT SPEAKER Eric Brown Chair, Board of Trustees

COMMENCEMENT ADDRESS Kendell Byrd ‘13, Buzzfeed Engineer on Tech and Entertainment

PRESENTATION OF THE CLASS OF 2026 Angela Rowley, Ed.D., Principal and Chief Academic Officer

ACCEPTANCE OF THE CLASS OF 2026 Evan M. Glazer, Ph.D., President

PRESENTATION OF DIPLOMAS AND MEDALLIONS 

Eric Brown Chair, Board of Trustees,Evan M. Glazer, Ph.D., President

Manuel Donelson, Dean of Student Support and Equity

Paul Gaszak, …

Lowland Tropical Forests Remain A Methane Sink Under Warming And Long-Term Hurricane Disturbance Recovery, Gabriele Larocca Conte, Lucia Zuvela, Rachel Cruz-Pérez, Tatiana Barreto-Vélez, Nibia Becerra-Santillan, Sophia F. Campbell, Hieu P. Chu, Trung Dam, Iana F. Grullón-Penkova, Miriam Kleit, Deyaneira A. Ortiz-Iglesias, Laura C. Rubio-Lebrón, Molly A. Cavaleri, Sasha C. Reed, Debjani Sihi, Tana E. Wood, Christine S. O'Connell

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Methane (CH₄) is a potent greenhouse gas, and tropical forests account for roughly one–third of global atmospheric CH₄ uptake by soils. Projected warming and more frequent hurricanes in these ecosystems may alter soil CH₄ sink strength, as warmer and wetter soils enhance methanogenesis activity. We measured soil CH₄ and CO₂ efflux during the calendar summer months of 2023 and 2024 alongside continuous records of soil moisture, soil and air temperature, and precipitation in an in–situ warming experiment (TRACE) located in a lowland tropical forest in Puerto Rico, six to seven years after Hurricanes Irma …

A Wildlife Crossing Proposal For Mountain Lions In San Luis Obispo County, Charles Carmichael

Master's Projects and Capstones

California mountain lions are facing threats such as wildlife vehicle-collisions (WVC) and habitat fragmentation from roads that act as barriers to movement. Cuesta Pass in San Luis Obispo County is a stretch of Highway 101 that acts as a barrier and results in WVC for numerous species, including mountain lions. A literature review on predictors for mountain lion usage of wildlife crossings suggests crossing location as an influential variable for predicting whether a crossing will be used. A synthesis on findings from four studies found mountain lions to use underpasses, including culverts, at a combined rate of 0.72 times per …

The Impact Of Sovereign Wealth Funds On Emerging Markets: A Behavioral Analysis Of Investment Decisions And Market Reactions, Grant A. Mosshart

Senior Honors Theses

Sovereign Wealth Funds (SWFs) are increasingly influential in emerging markets, yet the behavioral drivers behind their investments remain underexplored. In this paper, an analysis of SWF capital’s impact on economic development and the psychological factors, such as optimism bias and herding, that shape these decisions is examined. Utilizing a mixed-methods comparative study, the research analyzes Saudi Arabia’s Public Investment Fund (PIF) and Singapore’s Temasek Holdings. Event study analysis reveals a divergent impact: the PIF’s high-profile developmental commitment to India generated a positive 5-day Cumulative Abnormal Return of +2.05%, confirming a macro-level “seal of approval” signaling effect. By contrast, Temasek’s commercially …

How Fe(Ii)/2-Oxoglutarate Oxygenase Chooses Chlorination Over Hydroxylation: Electric Field-Driven Ligand Exchange Governs C-Cl Formation, Simahudeen Bathir Jaber Sathik Rifayee, Midhun George Thomas, Anandhu Krishnan, Kritika Gupta, Carter Davis, Tatyana Karabencheva-Christova, Christo Z. Christov

Michigan Tech Publications

Non-heme Fe(II)/2-oxoglutarate (2OG)-dependent halogenases catalyze highly selective C-H halogenation. BesD is a non-heme Fe(II)/2OG halogenase that performs regio- and stereoselective chlorination of the l-lysine (l-Lys) substrate. Understanding the mechanism by which halogenation is favored over canonical hydroxylation is essential for guiding enzyme engineering efforts aimed at converting hydroxylases into halogenases. Here, we combine molecular dynamics (MD) and hybrid quantum mechanics/molecular mechanics (QM/MM) calculations to elucidate the origin of chlorination selectivity in BesD and variants derived from a homologous hydroxylase. Our results indicate that, although the initial inline Cl-Fe(III)-OH intermediate is inherently predisposed toward hydroxylation, it undergoes a two-step isomerization in …

Justice On Autopilot: Comparing Predictive Litigation And Data Justice In Bay Area Municipal Governments, Darris M. Thomas

Master's Projects and Capstones

This Capstone project examines how Bay Area municipal governments, specifically the City and County of San Francisco, Alameda County, San Mateo County, and Santa Clara County, are adopting and governing predictive litigation technologies, and what these practices reveal about the possibilities and limitations of data justice in advancing racial equity, transparency, and public accountability. Drawing on a qualitative, comparative case study methodology analyzing procurement contracts, AI governance policies, California Public Records Act (CPRA) disclosures, and semi-structured interviews gathered across fifteen municipal legal institutions, the research applies an interdisciplinary theoretical framework synthesizing John Rawls’s distributive fairness, Nancy Fraser’s recognition justice, Tom …

Increasing Students’ Self-Efficacy In Consuming, Conducting, And Disseminating Neuroimaging Research: Experiences From Teaching Edps 991: Social And Affective Neuroscience, Isabella Starling Alves

UNL Faculty Course Portfolios

Social and emotional factors are critical for learning, being core aspects of the educational  psychology curricula. Recently, neuroimaging has emerged as a powerful tool to  comprehend the neurobiological factors underlying these factors. Yet, many educational  psychologists have low familiarity with neuroscience research. The course EDPS 991:  Social and Affective Neuroscience, from the Department of Educational Psychology at the  University of Nebraska-Lincoln, emerges in this context, training educational psychology  graduate students to consume, conduct, and disseminate findings about how the brain  relates to socioemotional processes. One challenge related to the course is that many  students feel anxious about learning the neuroimaging …

Deforestation Dynamics In The Amazon: Impacts, Socio-Environmental Drivers And Restoration Pathways, Maria Natalia Rodriguez

Master's Projects and Capstones

The Amazon, which is the largest tropical rainforest in the world, experienced 542,581 km² of forest loss between the years 2000 and 2020. The process of deforestation endangers the ecological system results which maintain ecosystem connectivity and the Earth's climate system. The Amazon rainforest supplies essential ecological services which include maintaining soil fertility, storing carbon, purifying water and climate stability. The fundamental ecosystem of this area faces new threats because of increasing forest destruction. The research study adopts a combined methodology that uses Geographic Information Systems (GIS) with a comprehensive literature review to study Amazon deforestation patterns and its driving …

Climate-Driven Maritime Hazards And Marine Fuel Oil Spill Risk In The Northwest Passage, Emily Grace Parker

Master's Projects and Capstones

Shipping activity across the Northwest Passage has increased by 46% since 2011 as climate forcing drives sea ice decline, but associated risks to vessels and the environment are underestimated and rarely examined together. A literature review conducted in this study indicated that by 2070, a 5-month navigation window will expose vessels to increasingly unpredictable hazards as the region transforms from an ice- to wave-dominated regime, with wave heights increasing by 10-13% per decade. Ice hazards persist, and vessels operating in early summer and late fall will be exposed to elevated ice accretion risk that can cause capsizing and marine fuel …

Evaluating Wildfire Mitigation And Wildfire “Hot Spots” In The Northern Bay Area, Nicholas W. Jones

Master's Projects and Capstones

Wildfire risk in the Northern Bay Area is increasingly shaped by climate driven vegetation dryness, expansion of the Wildland Urban Interface (WUI) and the fragmentation of environmental policy making. This paper investigates how Alameda, Contra Costa, and Sonoma Counties differ in their wildfire exposure and asks whether county level policies align with the areas of highest hazard and human exposure overlap. This project uses a Geographic Information Systems (GIS) overlay to overlay CAL FIRE Fire Hazard Severity Zones (FHSZ), and WUI data to identify wildfire hot spots where WUI areas intersect with High or Very High FHSZ classifications. This spatial …

Comparative Analysis Of Transportation Emissions And Policy In Lahore And Los Angeles, Laiba Rehman

Master's Projects and Capstones

In 2023, exposure to air pollution killed 7.9 million people globally, becoming the second leading cause of death worldwide. Transportation emissions are among the primary drivers of this burden especially in rapidly urbanizing cities where vehicle fleets are growing faster than regulatory frameworks respond. This study examines the contribution of transportation emissions to urban air quality, public health and climate change in Lahore, Pakistan and Los Angeles, California. First, it employs a secondary data analysis of PM_2.5 and ozone concentrations and vehicle fleet composition in each city, followed by an analysis of emission inventories. Second, it evaluates the regulatory …

The Role Of Intermittent Nutrient Loading In The San Francisco Bay, Rebecca M. To

Master's Projects and Capstones

A harmful algal bloom in 2022 shattered the illusion that the highly enriched San Francisco Bay is resilient to eutrophication. This event provided justification for the San Francisco Water Board to issue restrictions on nitrogen in wastewater effluent, the largest source of nitrogen in San Francisco Bay. Recognizing San Francisco’s fragile status even with this recent regulation, this study analyzes other anthropogenic sources of nutrient pollution, and it examines nature-based solutions to drawdown nutrient loading. This research utilizes a nutrient budget review to account for nitrogen inputs, a relative source contribution to quantify sanitary sewer overflows, a geospatial analysis to …

Photocatalytic Advanced Oxidative Processes (Aop) As A Promising Agricultural Runoff Treatment Solution For The California Central Valley, Briana Miller

Master's Projects and Capstones

Pesticide pollution in the California Central Valley (CV) is a major concern for aquatic toxicity. This research will determine if photocatalytic advanced oxidation processes (AOP), an emerging water treatment technology, could be implemented within the CV to degrade pesticides. A case study, literature review, comparative analysis, and policy analysis were conducted to identify pesticides of concern within the CV, if photocatalytic AOP can degrade those pesticides, how photocatalytic AOP compares to current technologies, and regulatory challenges with implementing photocatalytic AOP. Between 2019 and 2023, the top 30 most applied pesticides were identified, with 12 chemicals identified as aquatic toxicants, seven …

Linking Fishery Productivity To Child Health In The Coastal Tropics, Francisco Flores-Mejia

Master's Theses

Fish are a primary source of calories, macronutrients, and income for coastal communities around the world, but overfishing and environmental changes have dramatically reduced productivity in the majority of small-scale fisheries. The social costs of these losses are believed to be large, particularly in poorer communities, but most estimates of fishery productivity effects on households are contextual and difficult to generalize. We combine a remote sensing measure of pelagic fishery productivity with geolocated child health and growth data from 34 countries in the coastal tropics. We estimate that the difference between sustainedly good versus bad fishing conditions corresponds up to …

Utilizing Artificial Neural Networks (Ann) To Forecast Date Palm Exports And The Regulatory Period Of The United Arab Emirates, Almouthana Aziz Hasan, Ibrahim Mohammad Abdullah

Journal of Agricultural and Marine Sciences

The research aimed to forecast the exports of United Arab Emirate (UAE) from date palm during the period (2021-2030). The R programming language was used to conduct econometric analysis in artificial intelligence, by analyzing time series of the factors influencing the UAE date palm export quantity and using the (ARIMA) methodology and construction of the artificial neural network (ANN). The results demonstrated that the influence of independent factors on the quantity of future exports was apparent, including the UAE date palm production quantity in tons (x1) at a percentage of (21.08%), domestic consumption in tons (x2) by (20.69%), mean UAE …

Regularity Clarity At A Cost: The Risks To Everyday Investors If Project Crypto Continues Without Guardrails, Maia Chess

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Exploring Maximal Length Cellular Automata To Generate Primitive Polynomials In Gf(2), Sumit Adak, Subhrajit Deb, Anurag Ghosh, Angshuman Roy, Souvik Roy

Northeast Journal of Complex Systems (NEJCS)

We present a simple method that uses cellular automata (CAs) to find primitive polynomials over GF(2). We used maximal length CAs as tools to generate primitive polynomials. It is usually very difficult to find maximal length CAs or primitive polynomials since they require exponential time, and there is no linear time method. However, in our work, given an n-size specific sequence of CA with reasonable probability, our technique computes a cycle of length at most 2^n-1 (maximal length) in O(n) time. The characteristic polynomials of synthesized maximal length CAs are claimed to be primitive since it was previously established that …

Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma

Northeast Journal of Complex Systems (NEJCS)

The global shift toward clean energy is accelerating, and by 2050 renewable sources are expected to supply more than 85% of the world’s electricity. This transition, however, introduces new layers of complexity. Wind and solar energy behave as interconnected subsystems whose output fluctuates with weather, season, and geography. Their interaction with fixed hourly demand, capital-intensive investments, and financing structures creates a multi-dimensional system in which small changes can trigger significant operational and economic consequences.  This study presents a simulation-driven framework designed to understand and optimize this complex behaviour. The framework models hourly wind and solar generation alongside projected demand to …

Tax Trends, Nicholas J. Fiore

Tax Adviser

No abstract provided.

Below-Market Corporation- Shareholder Loans, Calculating Imputed Interest Under The Proposed And Temporary Regulations, Ned P. Curtis

Tax Adviser

No abstract provided.

Tax Clinic, Henry J. Ferrero Jr.

Tax Adviser

No abstract provided.

Decision Making At Triage Classification Using Svm With Smote Technique, Mehanas Shahul, Pushpalatha Kp

Northeast Journal of Complex Systems (NEJCS)

The efficient functioning of triage gates in overcrowded emergency departments (EDs) occurs in the context of the complex adaptive system (CAS) framework, where diverse system elements – patients, medical personnel, resources, patients’ inflow patterns, and patients themselves – simultaneously and dynamically influence the decision process. This study addresses the automated incorporation of machine learning triage algorithms as part of the system triage process to support automated classified risk-level recognition based on a limited set of vital signs. Patients are dynamically subsumed under high and low-risk categories enhanced by sensitivity, which enables optimal diagnosis and triage response to the critical clinician …

Uncovering Discrete States From Multimodal Psychophysiological Data Using Gaussian Latent Dirichlet Allocation (Glda), Congyu Wu, Aaron Fisher, David Schnyer

Northeast Journal of Complex Systems (NEJCS)

In this article we explore and validate the utility of an unsupervised probabilistic model, Gaussian Latent Dirichlet Allocation (GLDA), for discovering discrete states from repeated, multimodal psychophysiological samples collected from multiple individuals. Psychology and medical research heavily involves measuring potentially related but individually inconclusive variables from a cohort of participants to derive diagnosis, necessitating clustering analysis for state identification. Traditional probabilistic clustering models such as Gaussian Mixture Model (GMM) assume a global mixture of component distributions, which may not be realistic for observations from different patients. The GLDA model borrows the individual-specific mixture structure from a popular topic model Latent …

The Tax Adviser, Volume 18, Number 11, November 1987, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Trends, Nicholas J. Fiore

Tax Adviser

No abstract provided.

Impact Of New Sec. 1060 On Purchase Price Allocations, Preacquisition Planning And Postacquisition Compliance Are Even More Important, Gary D. Garland

Tax Adviser

No abstract provided.

Gender Affirming Rhetoric, Emerson R. Wright

Tennessee Journal of Race, Gender, & Social Justice

During the runup to the 2024 election, virtually every person who watched an American football game saw an advertisement alleging that Kamala Harris was “for they/them,” while “President Trump is for you.” Candidates and interest groups spent more than $200 million on ads shaping and preying on public perception of trans people, and Democrats wasted no time blaming Kamala Harris’s electoral loss on messaging around trans issues. On the heels of a contentious election that relied heavily on this type of weaponized culture war messaging, misleading and hostile discourse about transgender people and the issues they face is hard to …

The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown

Theses and Dissertations

Object detection is an important operation for satellites to be able to perform, and in outer-space missions it is crucial that machine learning models perform inference on satellite images accurately and reliably. Where size, weight, power, and other constraints exist, meeting this goal for accurate and reliable object detection is challenging. Additionally, soft errors caused by radiation further disrupt and degrade the operation of object detection in satellites. This thesis studies the performance of a deep learning model on an embedded device, the AMD Versal, in the presence of soft errors. The well-known and high-performing YOLO convolutional neural network was …