Digital Commons Network^™

Unpacking Singapore's Leasehold Relativity Table: An Empirical And Legal Analysis, Koon Shing Kwong, Jing Rong Goh, Seng Wei, Edward Ti

Research Collection School Of Economics

In Singapore, most land is state-owned, with the state generally issuing leasehold estates via state leases of not more than 99 years1, depending on the intended land use. Naturally, the value of a leasehold estate, which erodes over time as the lease approaches the end of its term, is a key component of the premium charged for lease renewals, or the tax imposed for permission given in relation to a development that would increase the value of the land. By law, the state valuation of leasehold land is prescribed by a leasehold relativity table colloquially known as ‘Bala’s Curve’ or …

Unregulated And Unacceptable: Facial Recognition Technology's History, Privacy Concerns, And Impact On Society, Alyssa Pequignot

Northwestern Journal of Technology and Intellectual Property

This Note provides a general review of the current state of Facial Recognition Technology (FRT), including Illinois state regulation and past federal regulation attempts. This Note asserts that even as datasets become more diverse and “fairer,” FRT may still have discriminatory impacts on minority populations, as evidenced by a few highlighted examples that focus on race and gender. This Note suggests that one option to mitigate these dangers is to implement national regulations for its use. Ultimately, this Note suggests what a federal regulation might look like, informed by the societal impacts discussion.

After an introduction in Section I, Section …

Art Forms: Born Out Of Necessity, Urmi Duttagupta

Publications and Research

This collection of artworks expresses the artist’s profound passion for mathematics and life’s complex balance. As a female mathematician, she uses artistic expression and intricate patterns to evoke mathematical beauty and feminine strength, celebrating the presence and resilience of women in mathematics.

2025 October - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All,

October 2025 was a quiet month for weather across Tennessee. The major stories included improving drought conditions across the western half of the state and relatively large temperature fluctuations. There were some days with heavy rainfall in West Tennessee but flooding was minimal due to the dry conditions in September. Tennessee experienced some pronounced temperature swings during the month with many areas reaching into the 80’s or even 90’s in the first week of October as well as in the middle of October, and then down into the 20’s or 30’s by the end of the month. This …

Assessing Cognitive Abilities In Students With Hearing Loss And Specific Learning Disabilities, Pooja Gupta, Corinna V. Cole, William H. Blackwell

Journal of Human Services: Training, Research, and Practice

This literature review synthesizes approximately 30 years of research on students from kindergarten through 12th grade with hearing impairments who are suspected of having a specific learning disability (SLD). Assessing SLDs in these students presents significant challenges, particularly when evaluating cognitive abilities using the Cattell-Horn-Carroll (CHC) theory of intelligence. This theory encompasses seven broad cognitive domains that influence academic success in reading, mathematics, and writing, including crystallized intelligence, fluid and sequential reasoning, long-term and short-term memory, visual processing, auditory processing, and processing speed. Since auditory processing is inherently affected in students with hearing impairments, this review excludes it from discussion. …

Digital Learning And Healing: Impacts Of Ai In Art Therapy, Cassandra E. Buffington-Bates

Journal of Human Services: Training, Research, and Practice

Art therapy, a creative approach to mental and emotional healing, is evolving with digital technologies to improve accessibility and care. This paper explores how artificial intelligence (AI) enhances art therapy by fostering emotional intelligence, collaboration, and personalized interventions. It highlights AI’s potential to support therapy while addressing challenges like empathy, data privacy, and training gaps. Through a literature review, the study offers insights into integrating AI with human-centered practices, providing innovative solutions for emotional and cognitive well-being.

Investigating The Redox Properties Of Photoredox Catalysts And Organic Compounds Through Quantum Chemistry, Peter Girnt

Open Access Theses & Dissertations

This dissertation explores the redox behavior of organic and organometallic systems using density functional theory (DFT), focusing on electron transfer mechanisms and structur –property relationships. The first study investigates the two-electron reduction of bianthrone isomers, revealing a potential-inverted ECE mechanism driven by isomerization and electronic destabilization. The second study examines ruthenium photoredox catalysts, showing that ligand fusion positions significantly affect redox potentials due to backbone dearomatization, while p extension has minimal impact. Together, these findings provide insight into redox tuning strategies and support the rational design of advanced catalysts and electroactive materials.

The Construction Of Mathematical Reasoning As A Pedagogical Object, Nick Pratt, Julie Alderton

School of Law, Humanities and Social Sciences

This paper explores how policy aims in mathematics curricula appear in classrooms and, crucially, how the resulting pedagogical practice affects the nature of mathematics itself. Whereas there have been many studies of policy and its relationship with teachers’ practices, few have examined epistemological effects; what mathematics becomes as it is translated from an educational, and political, intention into classroom activity. To focus the study, we examine reasoning as a central idea in mathematics, in the English primary (5-11 years) context. Rather than concentrating on best practice, as an objective account of how to teach reasoning, we adopt a post-structural theoretical …

Utilizing Mathematical Software For The Teaching And Learning Of Mathematics In Malaysia, Naiim Fatimi Che Mansor, Saufianim Jana Aksah, Nor Aziyatul Izni, Khairul Huda Yusof, M. N. Mohammed

Malaysian Journal of Computing (MJoC)

The paper examines the effects of mathematical software on the academic performance of secondary school students, along with its roles in facilitating technological adaptation among the students in mathematics education. The study is motivated by persistent challenges in students’ mathematics achievement and the limited integration of technology in classroom practices, despite the increasing availability of digital tools in schools. Two main objectives guided the research are to evaluate the effectiveness of mathematical software in improving students’ comprehension of mathematics, and to measure the extent of technology integration among students in mathematics learning. A quantitative research design was employed, involving 100 …

Enhancing Llm Code Generation: A Systematic Evaluation Of Multi-Agent Collaboration And Runtime Debugging For Improving Accuracy, Reliability, And Latency, Nazmus Ashrafi

Theses

The use of large language models (LLMs) for automated code generation has emerged as a significant focus within AI research. As these pretrained models continue to evolve, their ability to understand and generate complex code structures has opened up new possibilities for automating intricate programming tasks with greater accuracy. Although contemporary foundational models demonstrate promising results, researchers continue to explore optimal post-training strategies to enhance code quality. These include supervised fine-tuning, retrieval-augmented generation (RAG), debugging, and many others. In this thesis, I combine two such widely used post training approaches—namely (1) multi agent collaboration and (2) runtime execution of information-based …

An Animal Interest Approach Method As A Gateway To A One Health Educated Pipeline, Meghan C. Wulster-Radcliffe, Sarah A. Reed, James N. Macleod, Rebekah B. Epps, J. Scott Radcliffe, Robert J. Coleman, Steven A. Zinn

Animal and Food Sciences Faculty Publications

No abstract provided.

Journey To Proficiency: The Impact Of Explicit Problem-Solving Instruction In A Fifth-Grade Math Classroom, Brittany J. Terry

Theses and Dissertations

This action research study examined the impact of explicit problem-solving instruction on fifth-grade students’ mathematics proficiency and attitudes across skill levels. At the outset, students relied on rote procedures rather than conceptual reasoning, limiting their ability to apply skills in new contexts or understand why procedures work. Grounded in constructivist and sociocultural learning theories, the study aimed to move students beyond procedural fluency through explicit instruction of problem-solving strategies, modeling, guided practice, collaboration, and reflection. Over 8 weeks, 32 students participated in daily lessons. Findings from pre–post assessments, interviews, and portfolios indicate that explicit problem-solving instruction supported measurable growth in …

The Impact Of Incorporating Crp And Growth Mindset Into The Learning Environment For Increasing Student Enrollment In Advanced Mathematics Courses, Srinivas Akella

Theses and Dissertations

This mixed-methods action research study explored the impact of incorporating Culturally Relevant Pedagogy (CRP), goal setting, and growth mindset strategies into the learning environment of an advanced mathematics course. The overall goal was to increase enrollment of underrepresented student groups in advanced mathematics courses at a small rural high school in Georgia. The problem of practice addressed in this study is the underrepresentation of African American students in advanced-level mathematics courses, such as Precalculus and Calculus, due to structural, cultural, and psychological barriers. Despite the importance of advanced mathematics for college readiness and access to STEM careers, students from underserved …

Enhancing Teacher Self-Efficacy In Ngss Storyline Implementation: A Mixed Methods Action Research Study On Professional Development In Middle School Science Education, Dena Spickard Fender

Theses and Dissertations

This mixed-methods action research study examined how professional development (PD) influences middle school science teachers’ self-efficacy in implementing the Next Generation Science Standards (NGSS) Storyline curriculum. The study also explored which aspects of PD are most effective in supporting teachers at different career stages. Teacher self-efficacy is a critical factor in the successful adoption of reform-based science instruction, yet limited research has investigated how PD can be differentiated to address the needs of novice, intermediate, and veteran educators in underperforming schools.

A convergent mixed-methods design was employed to collect both quantitative and qualitative data. The Science Teaching Efficacy Belief Instrument-A …

Improving District Targeted Support For Schools With Low Student Achievement By Implementing Assistance Relationships With School Leaders, Mary Ashley Gaskins

Theses and Dissertations

Riverbend School District faced a challenge: the lack of a formalized structure for providing schools with targeted support that meets their unique needs and increases student achievement. This study explored how the district-level instructional team could customize support to improve English Language Arts and Math performance at schools with low student achievement. The theory of improvement posited that district instructional leaders engaging in assistance relationships – through modeling instructional leadership and providing conceptual and practical tools – would enhance school leaders' capacity, ultimately improving teaching and learning. A key action of the improvement team was the creation and implementation of …

Application Of Machine Learning For Vascular System Analysis, Alireza Bagheri Rajeoni

Theses and Dissertations

The analysis of vascular structures is critical for diagnosing, monitoring, and treating vascular diseases such as aneurysms, stenosis, and vascular calcification. Traditional methods often rely on manual interpretation of imaging data, which is time-consuming, subjective, and not scalable. This work explores the application of advanced machine learning techniques to automate and enhance vascular system analysis. Our contributions include achieving state-of-the-art accuracy in vascular segmentation, developing a machine learning pipeline to automatically quantify vascular calcification in peripheral arterial disease, and designing a multi-stage machine learning system for abdominal aortic aneurysm analysis that identifies aneurysm boundaries and estimates aneurysm volume in a …

Towards Accurate First-Principles Modeling In Heterogenous Catalysis: Ethane Dehydrogenation And Hydrogenolysis Over Pt Catalysts, Mubarak Ayo Bello

Theses and Dissertations

First-principles modeling has become central to heterogeneous catalysis research, offering mechanistic insight and guiding catalyst design, yet conventional approaches often struggle to accurately describe complex catalytic systems due to methodological uncertainties, simplified assumptions, and the structural diversity of nanoparticle catalysts. This dissertation addresses these challenges using ethane dehydrogenation (EDH) and hydrogenolysis (EH) over platinum catalysts as model systems. The first study benchmarks density functional theory (DFT) functionals against the random phase approximation (RPA) for the EDH network on Pt(111), identifying cost-effective functionals and demonstrating the efficiency of BEEF-vdW ensembles for capturing functional uncertainty. The second study (addressed in prior work) …

Implicit Neural Representation For Image Reconstruction, Canyu Zhang

Theses and Dissertations

Image reconstruction seeks to restore corrupted images and recover visual content that has been lost or degraded. Such degradation may result from low resolution, occlusion, masking, or shadow interference. This problem has become an increasingly significant research topic, as visual information plays a central role in almost every aspect of modern life. Neural network based approaches have recently emerged as highly effective solutions for this task. In particular, convolutional neural networks and transformer based architectures have demonstrated remarkable success in producing visually convincing reconstructions. However, these models remain constrained in several important ways, one of the most critical being that …

Spectral Modeling Of Electromagnetic Radiation From Power Converters, Regan A. Varner

Theses and Dissertations

Switching power converters are increasingly utilized in contemporary electronics. They are becoming more compact and operate at higher frequencies, which contributes to radiated electromagnetic interference (EMI). This EMI is important to quantify for electromagnetic compatibility of the converters with other nearby systems. In this thesis, analytical models have been developed for both ideal and non-ideal switching waveforms, employing piecewise functions to describe time-domain waveforms, with their corresponding frequency spectra derived and compared to empirical spectra. The results demonstrate that the comparisons with measured frequency data exhibit agreement with the analytical models up to approximately 25 MHz. Additionally, our analysis indicates …

Calculating Surface Current Velocities From Video Generated From A Near Forward-Facing Camera, Colby James Weeks

Theses and Dissertations

This work presents a camera system for estimating surface currents. A combined camera and IMU system provide high resolution images and high precision orientation information, respectively. This eliminates the need for leveling and enables forward looking operation. The hardware stack includes a Lucid Vision Triton TRT162S monochrome camera, an SBG Ellipse D with dual antenna GNSS for precise pose, and an Nvidia Jetson Orin for acquisition and processing. The Ellipse D provides a hardware trigger at 10 Hz to time stamp each frame and to synchronize images with inertial measurements.

A camera calibration step estimates the intrinsic camera parameters and …

Towards Robust Bmocz Schemes For Non-Coherent Wireless Communication, Anthony Joseph Perre

Theses and Dissertations

Non-coherent communication has emerged as a promising approach to address several challenges at the physical layer. A particular scheme called binary modulation on conjugate-reciprocal zeros (BMOCZ) uses the zeros (i.e, roots) of a polynomial to convey information bits. In this thesis, we strive to improve the reliability of BMOCZ in various scenarios. In particular, we utilize machine learning (ML) methods to determine the parameters for BMOCZ and improve upon the decoding performance. Moreover, we introduce a smooshed BMOCZ variant to combat typical impairments encountered within wireless communications, including timing offsets (TOs) for noncoherent orthogonal frequency division multiplexing (OFDM). Through numerical …

Multi-Layer Decision Making For Long-Term Autonomous Mission Based On Dual Process Theory, Shruti Jadhav

Theses and Dissertations

Unmanned aerial vehicles (UAVs) are increasingly used in precision agriculture, where extended autonomous operation is required for monitoring, intervention, and field management. However, achieving long-term autonomy remains challenging due to battery constraints, environmental uncertainty, and the need to balance exploration with event-driven tasks. To address these challenges, a multi-layer decision-making framework inspired by Dual Process Theory (DPT) is developed. The framework combines reactive return-tobase strategies, exploratory navigation, and directional bias from prior missions, with a conflict-monitoring mechanism that adapts system behavior based on real-time conditions. The approach is implemented in a simulated agricultural grid environment, demonstrating improved adaptability and coverage …

Reduced Order Simulator Of A Nuclear Thermal Propulsion System, Jackson Taylor Zazzaro

Theses and Dissertations

This thesis presents the development of a reduced-order simulator for a nuclear thermal propulsion (NTP) system, designed to capture the key thermo-fluid and performance characteristics of such systems while maintaining computational efficiency. The primary objective of this work is to develop and demonstrate a modular simulation framework capable of modeling the coupled physics of an NTP reactor, nozzle, and orbital transfer system. The simulator integrates a reduced-order thermal-fluid model of the reactor, a simplified nozzle model, and an orbital transfer model, providing a comprehensive yet computationally efficient representation of the propulsion process. By employing reduced-order modeling techniques, the simulator achieves …

A Qualitative Study Of Middle School Teachers’ Experiences Integrating Computer Coding Into Mathematics Classrooms, George William Austin Iii

Theses and Dissertations

As computers become more accessible in schools nationwide, teachers are embracing them to impact achievement positively (Brudno, 2013; Cetin, 2016). As a result, computer coding instruction has gained attention as a strategy for providing students with skills that will serve them both pre and post-graduation (Burke & Kafai, 2013; Yadav et al., 2016; Ng, 2017). Computer coding is the process of providing instructions for a computer to follow. In 2017, the South Carolina State Board of Education approved Computer Science and Digital Literacy standards for all K-8 public schools in the state of South Carolina (South Carolina Department of Education, …

Ursinus Magazine, Fall 2025, Gundolf Graml, Steve Thomas, Jennifer L. Post-Whisted, Alyssa Kratz, Brad Drexler, Connor Donohue, Michelle Yurko

Ursinus Magazine, 1995–Present

Introducing Interim President Gundolf Graml • Transfer agreement signed with DCCC • New Native American and Indigenous Studies minor • Students get front-row seat to optical innovation • Study abroad expands in Ireland • Alumna earns fellowship from French government • Softball roots, Phillies dreams • New Spirit Store now open • Ursinus' youngest student: Making headlines worldwide • Alumna earns Fulbright award • Ursinus, America250PA support PA scholars • Alumni join Ursinus Board of Trustees • When generosity meets vision • Ursinus named to Phi Theta Kappa Transfer Honor Roll • Field hockey team explores South Africa • Rankings …

Hungry Minds: Analyzing The Impact Of Food Insecurity And Food Assistance Programs On Neurocognitive Development And Childhood Mental Health, Kayla A. Davenport

Senior Theses

Introduction: Food insecurity affects millions of children in the United States and is increasingly recognized as a significant risk factor for poor nutritional intake and adverse health outcomes. However, less is known about how the experience of food insecurity disrupts healthy development and well-being, particularly among American youth. This thesis had two aims: (1) to examine the relationship between household food insecurity and children’s neurocognitive and mental health outcomes and (2) to evaluate how major food assistance programs address, or fail to address, these developmental risks.

Methods: This thesis uses a mixed-methods approach, integrating a narrative literature review, a cross-sectional …

The Correlation Between Brain Mri And Mrv Findings And Csf Pressure Value In Idiopathic Intracranial Hypertension, Ail Mohsin, Hasan Al-Hamadani, Noor Hummadi

Iraqi Postgraduate Medical Journal

BackgroundIdiopathic intracranial hypertension is a clinical entity characterized by increased cerebrospinal fluid pressure of unknown cause. The diagnosis depends on raised intracranial pressure, and the absence of identifiable causes.AimTo investigate the correlation between CSF pressure value and radiological findings based on cranial MRI and MRV in patients with idiopathic intracranial hypertension.MethodPatients with IIH who underwent brain MRI and MRV between June – 2019 to March– 2022 were evaluated. A total of 46 patients were assessed by one expert radiologist. The radiological score was based on the following findings: Partially empty Sella, Posterior displacement of the stalk, Flat posterior globe, Intra-ocular …

First Experience With Third-Party Validations: A Robust Calibration And Qa Procedure For Proton Flash Delivery, Chih-Chiang Chang, Balaji Selvaraj, Xingyi Zhao, Jacob Rembish, Paige A Taylor, Alexander Bookbinder, Chingyun Cheng, J Isabelle Choi, Charles B Simone, Haibo Lin, Minglei Kang

Faculty, Staff and Student Publications

Background: Proton FLASH radiotherapy, delivering ultra-high dose rates, shows promise in reducing normal tissue toxicity while maintaining tumor control. However, accurate dosimetry and quality assurance (QA) for FLASH remain challenging due to the extreme dose rates involved. Developing reliable calibration and QA procedures is crucial for advancing FLASH towards clinical implementation.

Purpose: To present an effective routine calibration and QA procedure for proton FLASH delivery to ensure high-quality dosimetry performance for preclinical and clinical delivery.

Methods: A high temporospatial resolution strip ionization chamber array (SICA) detector was mounted to the treatment nozzle, which was calibrated using an Advanced Markus ion …

Preface: Neutrosophic And Plithogenic Approaches In Data Science And Multivariate Analysis: Contributions From The Ix Ibero-American Biometry Meeting, Florentin Smarandache, Maikel Y. Leyva Vázquez, Mohamed Abdel‑Basset

Neutrosophic Sets and Systems

No abstract provided.

Financial Dynamics Of Cooperatives Of The Popular And Solidarity Economy Of Ecuador: An Analysis Using The Tucker3 Model And Projection With Multidimensional Neutrosophic Regression, Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

Neutrosophic Sets and Systems

This study relies on the Tucker3 model as a factorization model of multivariate analyses since the goal is to evaluate the financial dependency structure of Ecuador's cooperative sector of the Popular and Solidarity Economy (PSE) between 2016–2023. A population sample of 25 cooperatives belonging to segment 1 was analyzed in terms of their behavior across seven significant financial variables for eight consecutive years, factoring into a 25×7×8 tensor. Relative to variances in behavior, the ultimate benefits of some entities become clear as high profitability and sound liquidity trends emerge over time; yet for others, high delinquency and non-growth levels emerge. …