Digital Commons Network^™

Targeting Oncogenes: Development And Characterization Of Aurka And Her2 Inhibitors, Itzel Montoya

Chemistry Theses

Targeted inhibition of oncogenes has remained a key strategy in the development of more potent, effective, and less toxic therapeutic anticancer agents. Among the most clinically significant signaling pathways are those mediated by the Human Epidermal Growth Factor Receptor 2 (HER2) and Aurora Kinase A (AurKA). HER2 is a member of the ErbB receptor family that supports cell growth and proliferation through downstream signaling of the PI3K and MAPK pathways and is closely linked to more aggressive tumors and therapeutic resistance. AurKA is a protein kinase essential for mitotic spindle assembly, centrosome maturation, and other key processes in cell cycle …

Dollar$ And $Ense: A Financial Aid And Academic Records Newsletter - Spring 2026, Nova Southeastern University

Dollars & Sense Newsletter

No abstract provided.

Super Lidar Intensity For Robotic Perception, Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Chengzhong Xu, Hui Kong

Research Collection School Of Computing and Information Systems

Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, which involves emitting and receiving signals, offers unique advantages by capturing both radiometric and geometric properties of the environment, independent of external illumination conditions. This work focuses on advancing active optical sensing using Light Detection and Ranging (LiDAR), which captures intensity data, enabling the estimation of surface reflectance that remains invariant under varying illumination. Such properties are crucial for robotic perception tasks, including detection, recognition, segmentation, and Simultaneous Localization and Mapping (SLAM). A key challenge with …

Learning Feature Inversion For Multi-Class Anomaly Detection Under General-Purpose Coco-Ad Benchmark, Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao

Research Collection School Of Computing and Information Systems

Anomaly detection (AD) is often focused on detecting anomaly areas for industrial quality inspection and medical lesion examination. However, due to the specific scenario targets, the data scale for AD is relatively small, and evaluation metrics are still deficient compared to classic vision tasks, such as object detection and semantic segmentation. To fill these gaps, this work first constructs a large-scale and general-purpose COCO-AD dataset by extending COCO to the AD field. This enables fair evaluation and sustainable development for different methods on this challenging benchmark. Moreover, current metrics such as AU-ROC have nearly reached saturation on simple datasets, which …

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.

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, …

Conflogger: Enhance Systems’ Configuration Diagnosability Through Configuration Logging, Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng

Research Collection School Of Computing and Information Systems

Modern configurable systems offer customization via intricate configuration spaces, yet such flexibility introduces pervasive configuration-related issues such as misconfigurations and latent softwarebugs. Existing diagnosability supports focus on post-failure analysis of software behavior to identify configuration issues, but none of these approaches look into whether the software clue sufficient failure information for diagnosis. To fill in the blank, we propose the idea of configuration logging to enhance existing logging practices at the source code level. We develop ConfLogger, the first tool that unifies configuration-aware static taint analysis with LLM-based log generation to enhance software configuration diagnosability. Specifically, our method 1) identifies …

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard

Research Collection School Of Computing and Information Systems

Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. …

Bridging Draft Policy Misalignment: Group Tree Optimization For Speculative Decoding, Shijing Hu, Jingyang Li, Zhihui Lu, Pan Zhou

Research Collection School Of Computing and Information Systems

Speculative decoding accelerates large language model (LLM) inference by letting a lightweight draft model propose multiple tokens that the target model verifies in parallel. Yet existing training objectives optimize only a single greedy draft path, while decoding follows a tree policy that re-ranks and verifies multiple branches. This draft policy misalignment limits achievable speedups. We introduce Group Tree Optimization (GTO), which aligns training with the decoding-time tree policy through two components: (i) Draft Tree Reward, a sampling-free objective equal to the expected acceptance length of the draft tree under the target model, directly measuring decoding performance; (ii) Group-based Draft Policy …

From Spatial To Actions: Grounding Vision-Language-Action Model In Spatial Foundation Priors, Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Existing vision-language-action (VLA) models act in 3D real-world but are typically built on 2D encoders, leaving a spatial reasoning gap that limits generalization and adaptability. Recent 3D integration techniques for VLAs either require specialized sensors and transfer poorly across modalities, or inject weak cues that lack geometry and degrade vision-language alignment. In this work, we introduce FALCON (From Spatial to Action), a novel paradigm that injects rich 3D spatial tokens into the action head. FALCON leverages spatial foundation models to deliver strong geometric priors from RGB alone, and includes an Embodied Spatial Model that can optionally fuse depth, or pose …

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 …

On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) increasingly automate software engineering tasks. While recent studies highlight the accelerated adoption of “AI as a teammate” in Open Source Software (OSS), developer interaction patterns remain under-explored. In this work, we investigated project-level guidelines and developers’ interactions with AI-assisted pull requests (PRs) by expanding the AIDev dataset to include finer-grained contributor code ownership and a comparative baseline of human-created PRs. We found that over 67.5% of AI-co-authored PRs originate from contributors without prior code ownership. Despite this, the majority of repositories lack guidelines for AI-coding agent usage. Notably, we observed a distinct interaction pattern: AI-co-authored PRs …

Increased Backbone Rigidity Of Artificial Transcription Factors, Jasmine Glover, Emma Otey, Joanna K. Kwao, Nicholas Truex

Senior Theses

Programming DNA-binding proteins is an effective strategy for developing therapeutics that regulate gene expression. These proteins can directly bind to DNA to activate or repress transcription of specific genes. Zinc finger proteins are a class of DNA-binding proteins commonly found in eukaryotic organisms. Their DNA-binding function is derived from unique amino acid sequences within each domain that recognizes specific nucleotides, allowing each finger to selectively recognize three DNA base pairs. Adjoining of multiple domains in tandem allows recognition of a specific DNA sequence. Artificial transcription factors can be made of multiple zinc finger domains arranged in tandem and engineered to …

Voices Of Motherhood: A Comparative Analysis Of Feminist Commentary On Law In Margaret Atwood’S The Handmaid’S Tale And Celeste Ng’S Little Fires Everywhere, Addison Elaine Scott

Senior Theses

This South Carolina Honors College senior thesis provides a detailed comparative literary analysis of the depiction of motherhood and the legal system in two selected novels: Margaret Atwood’s The Handmaid’s Tale (1985) and Celeste Ng’s Little Fires Everywhere (2017). Feminist women writers have used narratives to articulate and represent marginalized experiences suppressed by systems of power. By reading these narratives, readers can emotionally connect with the perspectives shared while engaging with the underlying feminist commentary. This explores how Atwood and Ng illustrate the failure of American legal and social systems to understand or fully protect motherhood and fertility—complicating, confounding, and …

Daily Eastern News: April 01, 2026, Eastern Illinois University

Daily Eastern News: 2025-2026

No abstract provided.

Exchange Rate Volatility And Colombian Export Performance: A Comparative Product-Level Time-Series Analysis, Sebastian Pedraza

Theses & ETDs

This thesis examines the effects of nominal exchange rate volatility on Colombia’s export volumes to the United States, with emphasis on sectoral heterogeneity across agricultural and energy products. While exchange rate movements are widely recognized as an important determinant of trade performance, empirical evidence on the role of exchange rate volatility remains mixed, particularly for developing economies. This study contributes to the literature by distinguishing between exchange rate uncertainty and exchange rate level effects and by adopting a product-level time-series approach. Using monthly data from 2016 to 2024, the analysis focuses on four major Colombian exports: coffee, cut flowers, crude …

Habitat Preference Of Invasive Lionfish (Pterois Spp.) In The Gulf Of Mexico, River Barnett

Theses & ETDs

Lionfish (Pterois spp.) are an invasive species in the Gulf of Mexico that originated from the Indo-Pacific. They have no natural predators within this area and are known to prey on anything they can fit into their mouths, as well as having a high fecundity rate. This thesis investigated the habitat preferences of the invasive lionfish (Pterois volitans and P. miles) in the Gulf of Mexico, focusing on depth distribution and substrate preference. Specifically looking at quantifying depth-related patterns in lionfish abundance across shallow (< 20 m), intermediate (20–40 m), and mesophotic (>40 m) zones, assessing the influence of habitat structure, including artificial and natural habitats, on …

The Extension Newsletter, Issue 119, Spring 2026, Wright State University Retirees Association

The Extension Newsletter

This issue of The Extension shares updates from the Wright State University Retirees Association, including upcoming events, member news, and organizational developments. It features sections such as book recommendations, obituaries, poetry, and an oral history interview highlighting a retiree’s career. The newsletter emphasizes community engagement and ongoing connections among retirees.

Efficacy Analysis In Clinical Trials: A Comprehensive Review Of Statistical And Machine Learning Approaches, Dhrubajyoti Ghosh, Samhita Pal

Faculty Articles

Efficacy testing is a cornerstone of clinical trials, ensuring that medical interventions achieve their intended therapeutic effects. Over the decades, a wide range of statistical methodologies have been developed to address the complexities of clinical trial data, including parametric, nonparametric, Bayesian, and machine learning approaches. Parametric methods, such as t-tests, ANOVA, and LMMs, have traditionally been the foundation of efficacy testing due to their efficiency under well-defined assumptions. Nonparametric techniques, including the Friedman test, Brunner-Munzel test, and modern extensions like nparLD, have emerged as robust alternatives, particularly for skewed, ordinal, or non-normal data. Bayesian methodologies have enabled the incorporation of …

Zambia: Teaching And Cultural Immersion, Darnelle Hillard, Jasmine Pena, Jourdan Summers, Tamiel White

International Professional Development Partnerships (IPDP) Consortium

As Childhood Education majors at Buffalo State, we chose to participate in the IPDS–Zambia program to broaden our pedagogical perspective and gain firsthand experience with education in a different cultural context. Having grown up in the United States under our education system, we were eager to observe how Zambian educators employ creativity and resourcefulness to deliver meaningful instruction despite limited material resources. This experience reshaped our understanding of effective teaching shifting our focus as a whole from reliance on technology to the central importance of relationships, adaptability, and cultural respect.

Testing The Intermediate Disturbance Hypothesis On Anthropogenic Pressure In Central Alabama, Gavin Terrell

Theses

Biodiversity is fundamental to maintaining ecosystem structure and function globally. Prior to the late 20th century, ecological theory generally predicted that biodiversity would be highest in systems experiencing minimal disturbance. However, Joseph H. Connell challenged this view with the Intermediate Disturbance Hypothesis (IDH), which posits that species diversity peaks at intermediate levels of disturbance and declines under conditions of both low and high disturbance. Although widely cited, the applicability of the IDH to natural systems remains debated, particularly in the context of anthropogenic disturbances and when diversity is measured beyond species richness alone.

This study evaluated the predictions of the …

Chalmers Library Research Award Winner 2026, Cooper Bertschi

Chalmers Library Research Award

No abstract provided.

Aligning Clinical Documentation With Payer Requirements To Improve Wheelchair Access, Alexandria Morales

Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium

The wheelchair acquisition process is complicated and requires an interdisciplinary team of Assistive Technology Professionals (ATP) and either Occupational Therapists (OT) or Physical Therapists (PT). Without a proper mobility device, many wheelchair users report frustration due to decreased participation in work, school, medical appointments, and social events. Improper documentation of specific wheelchair needs contributes to payment authorization denials, causing long delays in the approval process and the timeliness of patients receiving their devices. (Nancy R. Mudrick, April, 2025). According to the 2024 reporting period for Centers for Medicaid and Medicare Services (CMS), “insufficient documentation accounted for 79.7% of improper payments …

Wellness In Action: Implementation Of An Experiential Wellness Elective For Occupational Therapy Students, Heather Short

Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium

Wellness In Action: Implementation of an Experiential Wellness Elective for Occupational Therapy Students

Graduate student mental health is a growing concern in higher education, highlighted by the student experience of high levels of stress, burnout, and declining well-being that impair academic and daily functioning (SenthilKumar et al.,2023; Bullock et al.,2017). Research highlights the need for proactive, holistic interventions that provide education and support skill development (Henrico, 2021; Van Oss et al., 2025). To address this need, this capstone project aimed to design, implement, and evaluate an experiential wellness elective for occupational therapy (OT) doctoral students within a graduate health professions …

Fostering Engagement In Healthy Lifestyle Choices: A Health Management Curriculum For Community-Dwelling Older Adults, Gabriela Kay

Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium

The older adult population continues to grow, necessitating intentional efforts to support health maintenance and independence within this group. Current literature emphasizes that healthy aging requires a multifaceted approach, including consistent engagement in a range of health-promoting behaviors. The purpose of this capstone project was to develop an educational and interactive program for community-dwelling older adults aimed at increasing knowledge of healthy lifestyle choices and promoting active participation in these behaviors. The overarching goal was to empower older adults to better manage their health and reduce the risk of functional decline and loss of independence.

A needs assessment was conducted …

Justice, Autonomy, Beneficence, And Non-Maleficence: The Global Failure To Heed Ethical Mandates In Birth Spaces, Julia Dees

Richard T. Schellhase Essay Prize in Ethics

Respectful and safe care in all birthing spaces has long been an ideal that global communities fail to meet. Birthing people are disrespected, physically or emotionally harmed, or left to completely fend for themselves during a period of extreme emotional and medical vulnerability. Historically, autonomy especially has been ignored in birthing spaces with medical trends like the twilight sleep, where women were drugged into a state of unconsciousness during birth (Taylor, 2023), demonstrating the desire of western medicine, in particular, to reduce birthing people to bystanders in their own birth. While birth trends and medical treatments have changed throughout time, …

Optimizing Makeup Application Techniques For Women With Tenodesis: Adaptations And Ergonomic Solutions, Ashley J. Medina, Wendy Tremaine, Lee Ann Hoffman

Spring 2026 OTD Capstone Symposium

To enhance independence in makeup application for women utilizing a tenodesis grasp, Ashley Medina, OTS, in collaboration with Able Faith, Inc., developed and presented a capstone poster outlining a targeted program of adaptive strategies and ergonomic solutions. This program was designed to address the unique functional challenges experienced by women with spinal cord injuries (SCIs) while promoting autonomy and confidence in daily self-care routines.

The experience objectives included: (1) identifying existing adaptive equipment that supports individuals with SCIs in completing makeup application tasks; (2) examining and understanding the roles of interdisciplinary team members working with individuals with SCI in comparison …

Peri-Kare, Karlie Thompson

SPARK Symposium Presentations

Catheter-associated urinary tract infections (CAUTIs) remain the most common healthcare-associated infection and poses significant threat to patient safety, particularly on cardiovascular units. CAUTIs increase morbidity and mortality and are especially prevalent among older, immobile patients with cardiovascular comorbidities and Foley catheter use. The purpose of this change project is to reduce CAUTI incidence through the utilization of marketing-approved signage magnetized to patients’ doors when a foley is actively in use. Data from the local unit, where three CAUTIs were identified by the end of January 2026 despite a unit goal of one or fewer per year, shows that lack of …