Digital Commons Network^™

Synthesis Of Piperidine Heterocycles With Specific Functional Groups Via Sn2 Reactions, Teyanna Monroe

Honors Theses

Piperidine is a heavily utilized nitrogen containing heterocycle found in numerous pharmaceutical agents, solidifying its importance as a building block in drug development. The focus of this research is to investigate different mechanisms of action for adding and replacing various functional groups utilizing readily available lab materials. These findings would lead to determining the overall influence of substitution patterns and functional groups have on stereochemistry, reactivity, and overall conformation of the piperidine ring. The synthetic approach involves the formation of 3-bromo-5-methoxy-tosylpiperidine intermediate through acid promoted cyclization, followed by nucleophilic substitution reactions to introduce various functional groups. Reaction progress and product …

Evaluating Predictive Structure In Penny Stocks Using Machine Learning And Statistical Methods, Susom Hait

Honors Theses

Market prediction attempts have primarily focused on large-cap stocks due to their stability and market consistency. As such, studies that use time-series techniques to predict large-cap stocks have produced consistent results. Despite the success of large-cap predictions, penny stocks have remained unexplored in modern academia due to their high volatility, low liquidity, and structural instability. Regardless, unexplored market potential and technological advancements underscore the need for preliminary research into penny stock forecasting. This study aims to determine whether meaningful predictive structures exist in time-series penny stock data. This study utilizes an incremental approach. Various penny stocks were selected, pooled, and …

Synthesis And Photophysical Studies Of Coumarin-Quinoline Derivatives, Nishrenika Pokhrel

Honors Theses

A new family of oxime-functionalized coumarin-quinoline derivatives, 5a and 5b, has been synthesized through a five-step procedure in high yields (45-98%). Compound 5a is designed as the sensing probe, while 5b serves as a model system to support mechanistic understanding. The sensing approach is based on the reactivity of the oxime group, which can undergo phosphorylation in the presence of organophosphate nerve agents. Based on this behavior, it is hypothesized that 5a can react irreversibly with a nerve agent mimic. The structures were fully characterized by NMR, FTIR, and HRMS. Photophysical properties of 5a were studied in various solvents, …

Optimizing Barley Stripped Mosaic Virus Coat Protein Stability For Palladium Nanorod Biotemplating Via Terminal His-Tag Positioning, Emilie Hayes

Honors Theses

Viral biotemplating has become an exciting approach towards the production of nanomaterials with a controlled size and morphology. Rod-shaped plant viruses provide structurally consistent scaffolds that can guide the assembly of inorganic nanostructures, which can offer a biologically inspired platform to nanoscale material design. In the current study, computational modeling was used to examine the effect of palladium precursor chemistry on the reaction with viral protein templates. Molecular dynamics simulations were performed to test the stability of the viral scaffold, and the influence of N-terminal and C-terminal His-tag on protein flexibility. These simulations revealed that the viral coat protein is …

Deep Learning-Based Automated Pneumonia Detection From Chest X-Rays: A Comparative Study Of Custom Cnn And Transfer Learning Architectures, Ahmed Sajim

Honors Theses

Pneumonia is a leading global cause of mortality, claiming approximately 2.5 million lives an-nually and placing exceptional diagnostic pressure on radiologists in resource-limited settings. Manual interpretation of chest X-ray (CXR) images is time-consuming, subject to inter-observer variability, and limited by radiologist availability. This thesis presents a systematic investiga-tion into deep learning-based automated pneumonia detection comparing five convolutional neural network (CNN) architectures: a custom-designed 2D CNN and four pretrained transfer learning models—ResNet, DenseNet, MobileNet, and VGG19.

A targeted data augmentation pipeline addresses the severe class imbalance in the Kag-gle Chest X-Ray Pneumonia dataset, expanding the Normal class from 1,583 to 9,495 …

Modeling Of Aggregate Losses Of Metastatic Cancer Using Katz Family (A, B, 0) Distributions, Cynthia M. Mwau, Howard Omukami

Institute for Educational Development, East Africa

The incidence of metastatic cancer over the years has gradually increased. This can be due to delayed quality treatment, attributed to insufficient funds. Models that can more accurately price cancer insurance policies incorporating its metastatic nature would enable insurance firms to develop affordable and profitable cancer insurance policies. Effectively marketed and reasonably priced insurance policies can enhance the uptake of cancer specific insurance, thereby alleviating the financial strain linked to cancer treatment. To capture the impact of metastatic cancer on overall cancerrelated losses, we construct Katz recursive models grounded in the Katz family of distributions, specifically the (a, b, 0) …

Ethical Issues Of The Advancement Of Artificial Intelligence, Primo G. Moreno

Augustana Center for the Study of Ethics Essay Contest

Artificial intelligence has rapidly become integrated into our modern society, allowing for new streamlined methods to reign supreme. These methods raise concerns about control, privacy, and the shifting boundaries between human and machine decision-making. This paper examines how AI has developed, how it is currently being used, and the ethical dilemmas that arise as societies integrate it into systems such as healthcare, law enforcement, and businesses. Through the expansion of historical, technical, and philosophical perspectives, this paper argues that society must prioritize having set guidelines and systems for monitoring newly created AI systems. Without them, the implementation of AI models …

Not Too Early, Not Too Late: A Framework For Career Guidance In Competency -Based Education (Cbe), Mercy Igoki

Institute for Educational Development, East Africa

The aim of this study is to develop a framework for providing career guidance to learners in Kenyan schools within a competency-based education framework. The framework will give guidance from early childhood to senior schools. It will help learners select careers and develop relevant competencies. Learners are often introduced late to career guidance, mostly when they must make key academic and career decisions, such as subject selection. This timing may limit their ability to make informed decisions about their future career pathways. The study uses a conceptual research design, grounded in a review and synthesis of existing literature on career …

Folic Acid–Carbon Dot–Gemcitabine Nanoparticles For Targeted Cancer Drug Delivery, Irfan Huda, Hua Mei

SPARK Symposium Presentations

This project aims to develop a folic acid-attached carbon dot nanoparticle system (FA-CDs-GEM) for the targeted delivery of gemcitabine to cancer cells. While gemcitabine is widely used, its effectiveness is limited because a short in vivo half life and lack of selectivity, which lead to severe side effects. Carbon dots offer a simple and modifiable platform as the drug delivery and bioimaging agent. Conjugation of folic acid to the carbon dots enables selective targeting of cancer cells that overexpress folate receptors. In this study, we synthesized and characterized FA-CD-GEM nanoparticles and developed an HPLC calibration curve of GEM to accurately …

Evaluating Urban Alleyways For Ecosystem Services, Bridget Mcloud, Thalia Rodriguez, Darlene Panvini

SPARK Symposium Presentations

Overlooked urban spaces, such as alleyways, can provide many valuable ecosystem services. This project directly observes urban alleyways in hopes of exploring the range of ecosystem services offered. The project will be carried out by visiting a few alleyways within the Nashville area. Ecosystem services will be evaluated by physical observation and documentation. The alleyways will be photographed, and data based on the observations will be collected and analyzed. Ecosystem services provided by urban alleyways include urban heat island mitigation with green infrastructure, habitat support, and cultural and recreational benefits offered to the surrounding residents. These urban spaces demonstrate how …

Mathematics In Maltese: The Compilation Of A Bilingual English-Maltese Glossary To Support Mathematics Teaching And Learning In Malta, Marie Theresa Farrugia, Lara Ann Vella, David Muscat, Melanie Casha Sammut

The Mathematics Enthusiast

In Malta, mathematics education is accessed bilingually through Maltese and English. While Maltese is often used for verbal interaction, English is the language of written texts, including assessments. Consequently, switches between the languages is a common feature of Maltese mathematics classrooms. Anecdotal and research evidence indicate that Maltese students benefit from the use of their home language. However, to date, there is no recognised and standardised Maltese bank of mathematics Our project aims to address this lacuna. In this article, we outline the process of compiling a bilingual glossary of mathematics terms intended for kindergarten and elementary school levels in …

An Elegy For The Hereditary Peers, Declan M. Hurley

Notre Dame JLEPP: In Limine

Declan Hurley reflects on the role of the hereditary peers, and what is lost with their demise.

Enhancing Urban Garden Capacity By Linking Biodiversity And Ecosystem Function, Mary T. Nguyen, Carleen Rauh, Shelby Gresch, Charlotte Correiro, Heidi Elmendorf, Adriane Fugh-Berman, Gina Wimp, Alexandra L. Decandia

Virginia Journal of Science

Urban agriculture broadly describes food and plant cultivation in metropolitan areas. While biodiversity is thought to support ecosystem health and resilience, the relationship between above-ground and below-ground diversity has been understudied in urban green spaces. This study examines plant, animal, bacterial, and fungal diversity across three distinct urban habitats: a turf lawn, a forb garden, and a farming space. Using bacterial 16S rRNA and fungal ITS2 sequencing, soil nutrient analyses, and surveys of vegetation and wildlife, we connect diverse philosophies in urban agriculture to their role in advancing community diversity and ecosystem function. We found that different urban gardens support …

The Varying Strength Of Parental Rights, Mark Strasser

Missouri Law Review

The United States Supreme Court has recognized that parental rights implicate fundamental interests and that statutes adversely affecting those rights require close examination. However, the Court has been inconsistent in both its analysis and results when deciding which statutes burdening parental rights nonetheless pass constitutional muster. The Court’s ambivalence and lack of clarity have made parental rights jurisprudence confused and confusing, as illustrated by the dissensus among the state supreme courts regarding which visitation statutes are constitutional. Yet, this jurisprudential quagmire cannot be blamed on one particular decision, as if a single clarification or modification could resolve the problem. Rather, …

Designing Surface-Induced Entatic States In Copper Complexes For Tunable Reactivity, Rachel Kiser

Senior Theses

Copper catalysts play an important role in electrocatalytic oxidation reactions due to their redox flexibility and relative abundance compared to noble metal catalysts. In biological systems, copper metalloenzymes often achieve enhanced reactivity through an entatic state. Entasis is described as an active site or metal center being constrained to a geometric and electronic state, minimizing primary sphere reorganization energy and achieving higher rates of electron transfer.  This study investigates whether entasis can be achieved in synthetic molecular catalysts by immobilizing Cu(I) complexes onto metal oxide surfaces. Two Cu(I) complexes bearing carboxylate-functionalized ligands were examined both in homogeneous solution and when …

Searching For Temporal Variations In The Fine-Structure Constant Using Espresso Spectrograph Data, David Hoffman Iv

Senior Theses

The fine-structure constant α is a dimensionless constant, defined as e²/(4πε₀ℏc) ≈ 1/137. On the order of human timescales, its value is very much unchanging, however, in recent years there has been extensive debate over whether or not the value of α has remained constant over cosmological timescales. With the natural corollary to a changing α being that either one or multiple of its constituent physical constants have also changed in value, observing a variation in the fine-structure constant would have vast ramifications for our understanding of the nature of the early universe and how it has evolved. While past …

What Keeps Teachers: A Systematic Review Of Induction And Early-Career Teacher Retention In Rural Schools, Bobbie Jean Mcdonough

Teacher Education, Educational Leadership & Policy ETDs

Teacher retention remains a persistent challenge in United States education, particularly in rural K–12 public schools. This systematic review synthesized empirical research on induction and early-career teacher retention in rural United States settings published between 2000 and 2025. Guided by a postpositivist framework and aligned with PRISMA 2020 standards, 56 studies met inclusion criteria following structured database searches and multi-stage screening. Findings across the included studies indicate that retention was most consistently associated with induction, mentoring, professional learning, responsive leadership, collegial relationships, and teachers’ integration into their school and community, with no single support appearing sufficient in isolation. Across research …

Rural Transformations And Identity In Northern New Mexico, Eva Gemrich

Geography ETDs

In the U.S. West, research points to a significant transformation of rural places, including rural blight, a decline in extractive industries, and changing migration patterns. In Northern New Mexico, these rural transformations are occurring alongside a long and continuing history of tensions and conflicts relating to land, water, and property regimes, which are intertwined with notions of identity, culture, and power. Using participant observation and semi-structured interviews, this thesis explores how rural transformations, particularly shifting land ownership, have influenced identities and cultural values along the Upper Rio Chama in Northern New Mexico. I find that comparatively wealthy in-migrants are purchasing …

Interspecific Overlap In Seabird Diet Throughout The Breeding Season, Alexis V. Berkey

Student Publications

Seabirds are central-place foragers that breed in multi-species colonies, providing an opportunity to study species coexistence. I quantified interspecific competition among four seabird species (common terns Sterna hirundo, Arctic terns Sterna paradisaea, Atlantic puffins Fratercula arctica, black guillemots Cepphus grylle) breeding in the Gulf of Maine in 2022, 2024, and 2025. I hypothesized that, throughout the breeding season, 1) seabird diet would change and 2) interspecific overlap in diet would increase. I compared diets across species and time using direct observation of prey feeds and stable isotope values of seabird egg membranes and blood, which provide …

Pillar 1: Strengthening Monitoring And Evaluation Capacity For Foundational Learning Outcomes. Final Report, Debbie Wong, Hilary Hollingsworth, Payal Goundar, Agnes Bersee, Psyche Kennett

International Education Research

This report presents key insights from the Pillar 1 pilot project in Cambodia from evidence collected on classroom practice and materials used in Grade 2 Khmer language classes, and lexical computing analysis of the highest frequency words in Khmer suitable for children. Findings from this research provides the evidence for refining Cambodia’s Early Grade Learning package. ‘Strengthening monitoring and evaluation capacity for foundational learning outcomes’ was designed to monitor and evaluate time on and quality of teaching core literacy skills in Primary Grade 2 in Cambodia, enable clearer alignment between content (what is taught) and process (how it is taught), …

Iowa Waste Reduction Center News, April 2026, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- MSEI Final Day Reminder
--- UNI Day of Service
--- Advisory Board Meeting Recap
--- Industry News

Clark Magazine, Spring/Summer 2026, Clark University

Clark Magazine

The Spring/Summer 2026 edition of Clark Magazine. Clark Magazine is a twice-yearly publication primarily geared towards Clark University Alumni.

The cover story is "From Dream to Destiny: 100 Years Ago, Robert H. Goddard Put Humanity Aboard a Rocket Ride to the Future".

Semantic Entanglement In Vector-Based Retrieval: A Formal Framework And Context-Conditioned Disentanglement Pipeline For Agentic Rag Systems, Nick Loghmani

iSchool - All Scholarship

Retrieval-Augmented Generation (RAG) systems deployed in agentic environments depend on the geometric properties of vector representations to retrieve contextually appropriate evidence for autonomous reasoning. When source documents conflate multiple topics within contiguous text regions, standard vectorization pipelines produce embedding spaces in which semantically distinct content occupies overlapping geometric neighborhoods — a condition we term semantic entanglement. This paper formalizes semantic entanglement as a model-relative measure of cross-topic overlap, defines an Entanglement Index (EI) as a quantitative proxy, and argues that higher EI is associated with reduced attainable Top-K retrieval precision under cosine similarity retrieval. We introduce the Semantic Disentanglement …

The P-Adic Numbers And Zeta-Functions, Maria Francesca Perez

Math Honors Theses

No abstract provided.

Penforge: On-The-Fly Expert Agent Construction For Automated Penetration Testing, Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

Research Collection School Of Computing and Information Systems

Penetration testing is essential for identifying vulnerabilities in web applications before real adversaries can exploit them. Recent work has explored automating this process with Large Language Model (LLM)-powered agents, but existing approaches either rely on a single generic agent that struggles in complex scenarios or narrowly specialized agents that cannot adapt to diverse vulnerability types. We therefore introduce PenForge, a framework that dynamically constructs expert agents during testing rather than relying on those prepared beforehand. By integrating automated reconnaissance of potential attack surfaces with agents instantiated on the fly for context-aware exploitation, PenForge achieves a 30.0% exploit success rate (12/40) …

Stacked From One: Multi-Scale Self-Injection For Context Window Extension, Wei Han, Pan Zhou, Shuicheng Yan

Research Collection School Of Computing and Information Systems

The limited context window of contemporary large language models (LLMs) remains a primary bottleneck for their broader application across diverse domains. Although continual pre-training on long-context data offers a straightforward solution, it incurs prohibitive data acquisition and computational costs. To address this challenge, we propose SHAREDLLM, a novel framework based on multi-grained context compression and query-aware information acquisition. SHAREDLLM comprises two stacked short-context LLMs: a lower model serving as a compressor and an upper model acting as a decoder. The lower model compresses long inputs into compact, multi-grained representations, which are then forwarded to the upper model for context-aware processing. …

Challenges In Synchronous And Remote Collaboration Around Visualization, Matthew Brehmer, Maxime Cordeil, Christophe Hurter, Takayuki Itoh, Wolfgang Büschel, Mahmood Jasim, Arnaud Prouzeau, David Saffo, Lyn Bartram, Sheelagh Carpendale, Chen Zhu-Tian, Andrew Cunningham, Anthony Tang, Samuel Huron, Masahiko Itoh, Arpit Joshi, Kiyoshi Kiyokawa, Hideaki Kuzuoka, Bongshin Lee, Guillermo Molina León

Research Collection School Of Computing and Information Systems

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities. The challenges are anchored around five collaborative activities that exhibit a centrality of visualization and multimodal communication. These activities include exploratory data analysis, creative ideation, visualization-rich presentations, joint decision making grounded in data, and real-time data monitoring. The challenges also reflect the changing dynamics of these activities in the face of recent advances in extended reality (XR) and artificial intelligence …

Thinktank-Me: A Multi-Expert Framework For Middle East Event Forecasting, Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing LLM-based approaches employ single-model architectures that generate predictions along a singular explicit trajectory, constraining their ability to capture diverse geopolitical nuances across complex regional contexts. To address this limitation, we introduce ThinkTank-ME, a novel Think Tank framework for Middle East event forecasting that emulates collaborative expert analysis in real-world strategic decision-making. To facilitate expert specialization and rigorous evaluation, we construct POLECAT-FOR-ME, a Middle East–focused event forecasting benchmark. Experimental results demonstrate the superiority of multi-expert collaboration in handling complex temporal geopolitical forecasting …

Discrete Diffusion For Bundle Construction, Teng Tu, Ai Li, Yunshan Ma, Shuo Xu, Xiaohao Liu, Haokai Ma, Liang Pang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

As a central task in product bundling, bundle construction aims to select a subset of items from large item catalogs to build an entire bundle or, more practically, complete a partial bundle. Existing methods often rely on the sequential construction paradigm that predicts items one at a time, nevertheless, this paradigm is fundamentally unsuitable for the essentially unordered bundles. In contrast, non-sequential methods model a bundle as a set, but still face two dimensionality curses: the combinatorial space grows exponentially with both bundle length and catalog size. Accordingly, we identify two technical challenges: 1) how to effectively and efficiently model …

Finding Missing Input Validation In Tees Via Llm-Assisted Symbolic Execution, Chengyan Ma, Jieke Shi, Ruidong Han, Ye Liu, Yuqing Niu, David Lo

Research Collection School Of Computing and Information Systems

Trusted Execution Environments (TEEs) provide hardware-enforced isolation that protects sensitive code and data from untrusted software. Despite their strong security guarantees, analyzing TEE applications remains challenging due to the high cost and complexity of configuring complete TEE build and runtime environments, as well as the limited observability imposed by hardware isolation. This paper presents SymTEE, a novel large language model (LLM)-assisted symbolic execution framework for detecting missing input validation issues in TEE applications without requiring real TEE setups. SymTEE begins by leveraging Abstract Syntax Tree (AST) analysis to extract TEE code slices that may lack sufficient input validation, and then …