Digital Commons Network^™

Analyzing The Impact Of Approximate Arithmetic On Deep Neural Network Predictions, Johnatan Garcia

Open Access Theses & Dissertations

In recent times, we have seen the use of artificial intelligence in our daily lives. It helps us solve complicated problems. Some of these problems can be large and complex, requiring large models. As models grow in complexity, they require more computations and energy to be trained and tested. The execution of these models relies on floating-point arithmetic, which imposes constraints due to its finite precision. Due to these limitations, many of these computations are not exact. When this happens, computers are forced to round or approximate. We can use several number formats to circumvent this issue. For example, in …

Axicons For Improved Resolution And Depth Of Focus In Adaptive Optics Scanning Light Ophthalmoscopy, Ruth E. Woehlke, Robert F. Cooper

Biomedical Engineering Faculty Research and Publications

Adaptive optics scanning light ophthalmoscopes are instrumental for studying the eye, yet they use truncated Gaussian illumination and are limited by diffraction, restricting resolution and depth of focus (DOF). Non-diffractive Bessel beams have emerged as an alternative. Here, we use two axicons configured as: (1) an extended DOF beam for resolving multiple retinal layers; and (2) an annular beam for increasing lateral resolution. We compare both approaches to truncated Gaussian illumination using a variety of metrics. Using Configuration 1, we successfully observed multiple retinal layers simultaneously. Using Configuration 2, we observed enhanced lateral resolution but decreased signal-to-noise ratio.

Diagenesis And Controls On Porosity And Permeability In The Upper San Andres Formation Of West Texas, Jack Butcher

Electronic Theses and Dissertations

West Texas reservoirs on the Central Basin Platform (CBP) are dominated by Permian-age carbonate deposits, significantly contributing to petroleum production. The Upper Permian-aged San Andres Formation, composed primarily of dolomite and limestone, is a prolific reservoir. This study assesses diagenetic influences on porosity and permeability within the San Andres Formation along the northern CBP. Two cores from the Monument 4-2 and Peterson 1 wells in West Texas were analyzed using core descriptions, thin section petrography, XRD, XRF, and MICP. Results indicate that dolomitization enhances porosity, with intercrystalline and moldic porosity being dominant, while late-stage cementation and compaction reduce permeability. XRD …

An Evaluation Of Key Components Of Natural Resource Camps, Undergraduate Persistence And Success In Natural Resources, Brandy Bishop

Electronic Theses and Dissertations

This study explores the key components that connect natural resource camps, undergraduate persistence, and overall success through gainful employment within the natural resource industry. The aim of this study was to assess early interest and attitudes towards natural resource career pathways and how education interventions shape students’ career outcomes thus leading to overall success. A longitudinal mixed method design was used combining Conservation Careers Camp survey data (n = 39) with institutional records for Forestry majors (n =655) in the Arthur Temple College of Forestry and Agriculture on the Stephen F. Austin State University campus. Quantitative data was analyzed through …

Effects Of Multi-Sensory Training In Physical Activity On Reaction Time And Fitness In Elementary Students., Sarah Anne Trout

Graduate Theses and Dissertations

Abstract This study examined the effects of multi-sensory Neuroplasticity training (MSNP™) using the ROXPro system on the psychomotor abilities of third-grade students in a Midwestern elementary school. The research aimed to determine whether the integration of interactive sensory-reactive technology in physical education could improve reaction time, agility, and explosive power compared to standard PE instruction. A total of 49 participants were assigned to either a control group or an intervention group, with the latter engaging in six weeks of ROX-based drills. A pretest-posttest design was employed, and data were analyzed using ANCOVA, repeated measures ANOVA, and independent t-tests to assess …

Cotton Yield And Tissue-Potassium Response To Potassium Fertilization, Maria Paula Ramos Do Prado

Graduate Theses and Dissertations

Potassium (K) deficiency is a common yield-limiting factor in cotton (Gossypium hirsu tum L.) production across the U.S. Cotton Belt. Adequate fertilizer-K management is paramount to ensure optimum plant growth and development, minimizing yield losses. Currently, fertilizer K recommendations for cotton in Arkansas are derived from expected yield responses of other crops, with no calibrated fertilizer-K rates or critical tissue-K concentrations defined to maxim ize crop yield. Our research objectives were i) to investigate cotton yield response and fiber qual ity to K fertilization on soils with different K availability; ii) to correlate relative yield with tis sue-K concentrations at …

Automated Chick Sexing Using Computer Vision, Marta Veganzones Rodriguez

Graduate Theses and Dissertations

This thesis presents two complementary approaches to chick sexing, a critical task in poultry production that demands accurate and early gender identification. By investigating both facial and vent-based modalities, we present two complementary methods that aim to improve the efficiency, scalability, and ethical standards of gender classification in day-old chicks through the use of computer vision and deep learning. The first approach draws inspiration from human facial gender recognition to introduce facial chick sexing, a minimally invasive technique that eliminates the need for expert knowledge. This system encompasses a complete pipeline that includes image acquisition, facial detection and alignment, keypoint …

Polymer-Enhanced Nanopore Sensing, Eugene Gyasi Agyemang

Graduate Theses and Dissertations

The resistive pulse technique characterizes single analytes by detecting fluctuations in the ion current as they pass through a narrow orifice connecting two electrolyte-filled chambers, each containing a single electrode. The amplitude, shape, frequency, and duration of these fluctuations primarily provide information about the analyte’s size, shape, concentration, and net surface charge, respectively. One configuration for resistive pulse measurements is of an electrolyte-filled nanopipette immersed in a bath, where the nanopipette tip acts as the nanoscale orifice. It was previously shown that incorporating the large quantities polymer polyethylene glycol (PEG 8K, 50% w/v) into the external electrolyte bath dramatically enhanced …

How To Do Things With Little Talking Tubes: Nonideal Speech Acts In The Digital Age, Anthony Holdier

Graduate Theses and Dissertations

In this work, I develop a view about what it means to share a social or conversational context with others, as well as what is normatively entailed by doing so. Working from a broadly Austinian perspective about the moral foundations of language use and how we use words to position ourselves within social space, as well as from a generally Stalnakerian social ontology (demarcating groups by dint of aligned or overlapping sets of commitments), I present three papers demonstrating how nonidealized, ordinary language philosophy can make sense of complex, real-world phenomena. Through analyses of heretical utterances, context collapse, and chatbot …

Controlling Electroless Deposition On Polymer Interfaces Towards Discrete Functional Particle Synthesis, Grecia Pierina Alvarado Munoz

Graduate Theses and Dissertations

Electroless deposition is a process that facilitates the formation of metal layers on surfaces through the reduction of metal ions onto a surface in the presence of a sacrificial reducing agent. This process can be applied to synthesize conductive metal layers on insulators such as glass or polymers. The kinetics of heterogeneous deposition depend on the interfacial surface chemistry, including the presence of added catalyst materials, as well as the bulk chemical environment, such as the concentration of metal ions and sacrificial reductants. Furthermore, the homogeneous formation of metal nanoparticles may compete with the deposition reaction, adversely affecting the control …

Contrastive Loss In Recommendation Systems, Maryam Aghamohammadghasem

Graduate Theses and Dissertations

A recommendation system is a bridge between users and products, which is widely used in e-commerce such as Amazon and Netflix. This study investigates the use of Graph Neural Networks (GNNs), Light Graph Convolution Network(LightGCN) and Graph Sample and Aggregate (GraphSAGE), in the recommendation system on two categories of Amazon review datasets ( "All Beauty" and "Tools and Home Improvement"). The novelty of this work includes combining supervised and self-supervised learning through Weighted Approximate Rank Pairwise (WARP) and Information Noise-Contrastive Estimation (InfoNCE) losses, to optimize the embeddings of users and recommended items in the shape of a ranking list. The …

Examining The Use Of Two-Dimensional Video Capture And A Pressure Sensing Walkway For Collection Of Obstacle Crossing Measures, Ashlyn M. Jendro

Graduate Theses and Dissertations

Obstacle crossing research is crucial for providing insights into how and why people trip and fall. However, a growing body of literature has proposed that laboratory-based studies may not directly translate into real-world settings due to the complex nature beyond the sterile lab. Unfortunately, the absence of real-world obstacle crossing literature is likely due to a lack of available validated methods for collection of data outside the laboratory. This dissertation explored two potential methodologies (i.e., 2D motion capture and a pressure sensing walkway) that are more portable and cost-effective for collecting real-world obstacle crossing measures. It is hypothesized that 2D …

Tree-Based Differential Item Functioning Detection Methods: Exploring Their Performance In Diverse Measurement Scenarios, Nana Amma Berko Asamoah

Graduate Theses and Dissertations

Despite the availability of numerous methods for detecting differential item functioning (DIF), the continued development and evaluation of innovative, data-driven approaches remains essential. Tree-based methods, in particular, represent a significant advancement in DIF detection. Unlike some traditional techniques, they can simultaneously screen multiple variables for DIF without discretizing continuous variables, and do not require the pre-specification of focal and reference groups; capabilities that are especially valuable in today’s diverse and multifaceted assessment contexts. However, research systematically examining the performance of these methods under realistic measurement conditions is limited. This dissertation, in three simulation studies, critically examines the robustness and practical …

Rabi Oscillations And Entanglement Between Two Atoms Interacting By The Rydberg Blockade And With A Quantized Radiation Field Studied By The Jaynes-Cummings Model, Francisco D. Santillan, Andreas Hanke

Physics & Astronomy Faculty Publications

The interaction between atoms and a quantized radiation field is fundamentally important in quantum optics and quantum information science. Due to their unusual properties, Rydberg atoms are promising building blocks for two-qubit gates and atom-light quantum interfaces, exploiting the Rydberg blockade interaction which prevents two atoms at close distance (< 10μm) from being simultaneously excited to Rydberg states. Recently, this effect was used to engineer quantum processors based on arrays of interacting Rydberg atoms illuminated by Raman lasers. Motivated by these experiments, we extend the Jaynes–Cummings model to study the interaction between two Rydberg atoms interacting by the Rydberg blockade and a quantized radiation field. We consider both number (Fock) states of the field and single-mode quantum coherent states. In particular, we discuss different types of entanglements between various components of the total system consisting of the two Rydberg-interacting atoms and coherent states of the field, and show that the behavior is significantly different compared to a system with non-interacting atoms corresponding to the two-atom Tavis-Cummings model. Our results are relevant in view of atom-light quantum interfaces as components for future long-distance quantum communication.

An Investigation Of Active Inference For Reinforcement Learning Control, Xinyu Hu

Theses

This thesis investigates the application of active inference framework on different reinforcement learning (RL) tasks. We specifically consider the following OpenAI Gym environments: CartPole, MountainCar, and LunarLander. In this thesis, our primary goal is to explore whether active inference could provide better performance and stability compared to traditional RL methods. The proposed model consisted of three main components: a variational autoencoder (VAE) model to infer hidden states, a transition model predicting latent states, and a Double deep Q-network (Double DQN) as the actor selecting optimal actions. To achieve this, extensive experiments are carried out using grid searches across several hyperparameters, …

Design Of A Posit Based 6-Bit Configurable Cnn Hardware Accelerator For Audio And Image Classification, Steven Ng

Theses

The rapid development and growing interest in Artificial Intelligence (AI) have resulted in a trend of models increasing in size and complexity at an accelerating rate. These larger models have demonstrated a greater ability to accomplish increasingly sophisticated tasks compared to smaller models, furthering the trend of making models larger. However, as the models continue to improve and grow larger, this has created a new challenge in deploying them into practical applications. Current models typically run inference on the same systems where they were trained. Large data centers comprising Central Processing Units (CPUs) and Graphics Processing Units (GPUs) are well-suited …

Multiplex Leiden Optimized Dynamic Network Microsegmentation And Flow Validation For Software Defined Networks, Rashed Husni Rashed Alnuman

Theses

Modern digital infrastructure is fundamentally built upon robust networks, which underpin seamless communication, data exchange, and the operation of critical systems. These networks facilitate everything from internet access and real-time patient vital sign transfers in healthcare to the management and control of industrial processes. As demands on networks have surged, their complexity and functionality have evolved significantly, continuously adapting to diverse sectoral needs. However, this rapid evolution has also amplified security challenges. The escalating scale and intricacy of contemporary networks have exposed vulnerabilities that traditional perimeter-based security models are often insufficient to counter. Static defenses prove inadequate in dynamic environments …

Analytics Of Capstone Projects: Understanding Outcomes Through People, Products, And Processes, Hrushikesh C. Godbole

Theses

The capstone project is a bridge from the university to industry. During the project, students not only learn the process of integrating previously learned engineering concepts into an actual product but also practice essential professional skills such as communication, teamwork, and project delivery. How can universities ensure effective capstone student learning and good outcomes? To answer this question, the capstone project is studied as a system comprising of products, people, and processes. People refer to the students and instructors involved. Students develop products by following development processes. Instructors guide students using instruction processes. In educational context there limited control over …

Digital Media In Teaching & Learning Reading Comprehension: The View Of The Efl Pre-Service Teachers In An Indonesian Higher Education, Mistang Mistang, Ruslin Ruslin, Zul Aini Rengur, Hijrah Syam, Siti Wirana

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The rapid advancement of digital technology has transformed the dynamics of reading comprehension instruction, particularly in the context of English as a Foreign Language (EFL) learning. This study aims to explore the perspectives of EFL pre-service teachers regarding the teaching and learning of reading comprehension in digital-based learning environments. Additionally, the research seeks to understand the challenges these preservice teachers face in teaching reading skills and to investigate the effectiveness of current digital media in enhancing EFL pre-service teachers’ reading comprehension abilities. Employing a mixed-methods approach, quantitative data were collected through online questionnaires distributed to 26 respondents, while qualitative data …

Augmented Reality Based Cultural Heritage In Improving Students' Literacy Culture In History Learning At Smk Muhammadiyah I Pekanbaru, Suroyo Suroyo, Novena Ade Fredyarini Soedjiwo, Derinta Entas, Antonio Constantino Soares

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

History learning in vocational high schools (SMK) is often faced with challenges in increasing students' interest and understanding of culture and history. The application of Cultural Heritage-based Augmented Reality (AR) technology as an innovative solution in improving students' literacy culture in history learning at SMK Muhammadiyah I Pekanbaru. This study aims to evaluate the impact of using Cultural Heritage-based AR on historical understanding, cultural appreciation, and student interest at SMK Muhammadiyah I Pekanbaru. Experimental research method was used with one experimental group engaged in learning using Cultural Heritage-based AR and one control group following conventional learning. Data were collected through …

Evaluation Of The Impact Of Project-Based Vocational Learning Programs At Vocational Schools, Muhammad Sadam Rizkylillah, Soeprijanto Soeprijanto, Muksin Muksin

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study evaluates the impact (effectiveness and outcome) of project-based vocational learning program in Electrical Power Installation programs (TITL) at vocational schools in Tangerang, Indonesia. Using the Goal Free Evaluation model and a mixed-methods approach, quantitatively, the study found that 93,93% of the program ran well. It identified 33 positive impacts that matched the program's goals, 2 negative impacts, and 6 unexpected positive outcomes for students such as curiosity, confidence, safety awareness, entrepreneurship, responsibility, and honesty. Addressing high vocational graduate unemployment, this research fills a gap by focusing on real impacts rather than predefined goals. The program is recommended to …

3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat

Theses

This study explores the enhanced compressive behavior of 3D-printed single and double gyroid solid-networks lattices. Where the double gyroids are constructed from two intertwined single gyroid structures. These structures were designed by nTop implicit modeling tool and then fabricated by material extrusion additive manufacturing method at optimized printing parameters, including optimized nozzle temperature and raster angle. The main objective of this study is to reveal the compressive behavior of the novel double gyroid lattice structure and then to tailor its response through variable gyroid heights. Standard polymer tests were performed, considering thermogravimetric analysis, to confirm the thermal stability of the …

Maintaining Legitimacy: Artificial Intelligence, Automated Decision Making, And Reasonableness Review Under Canadian Administrative Law, Bradley Henderson

UBC Law Review

No abstract provided.

Algorithmic Sentencing & Displaced Judicial Discretion: Storytelling Solutions For Rule Of Law Problems In The Age Of Ai, Katie Szilagyi

UBC Law Review

No abstract provided.

A Four-Year Mixed Methods Cohort Study Of Professional Learning Interventions In Teacher Education Colleges In Kenya, Tanzania, And Uganda, Nyagwegwe Wango, Nipael Mrutu, Jane Rarieya, Fortidas Bakuza

Institute for Educational Development, East Africa

In teacher professional learning reforms, maintaining pedagogical transformation is still a major problem, especially in settings with limited resources and policy transitions. During the four years that the Foundation for Learning (F4L) initiative was implemented in teacher education institutions in Kenya, Tanzania, and Uganda (2022–2025), this study looks at longitudinal patterns of improvement. The study employs a retrospective mixed-methods approach to examine two structured cycles of cohort-level data, which include interview datasets, lesson plan documents, mentoring records, questionnaire summaries, and classroom observation reports. Cycle comparisons show enhanced consistency in structured practicum feedback systems over time, better alignment between lesson objectives …

Dp-Brem: Differentially-Private And Byzantine-Robust Federated Learning With Client Momentum, Xiaolan Gu, Ming Li, Li Xiong

Faculty, Staff and Student Publications

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient or model updates with a coordinating server. Existing FL protocols are vulnerable to attacks that aim to compromise data privacy and/or model robustness. Recently proposed defenses focused on ensuring either privacy or robustness, but not both. In this paper, we focus on simultaneously achieving differential privacy (DP) and Byzantine robustness for cross-silo FL, based on the idea of learning from history. The robustness is achieved via client momentum, which averages the updates of each client over time, …

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection To Mitigate Immunosuppression, Duo Yu, Michael J Kane, Yiqing Chen, Steven H Lin, Radhe Mohan, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Lymphocytes play critical roles in cancer immunity and tumor surveillance. Radiation-induced lymphopenia (RIL) is a common side effect observed in patients with cancer undergoing chemoradiation therapy (CRT), leading to impaired immunity and worse clinical outcomes. Although proton beam therapy (PBT) has been suggested to reduce RIL risk compared with intensity-modulated radiation therapy (IMRT), this study used Bayesian counterfactual machine learning to identify distinct patient profiles and inform personalized radiation modality choice.

Methods: A novel Bayesian causal inferential technique is introduced and applied to a matched retrospective cohort of 510 patients with esophageal cancer undergoing CRT to identify patient profiles …

Nature-Inspired Metaheuristics For Optimizing Dose-Finding And Computationally Challenging Clinical Trial Designs, Weng Kee Wong, Yevgen Ryeznik, Oleksandr Sverdlov, Ping-Yang Chen, Xinying Fang, Ray-Bing Chen, Shouhao Zhou, J Jack Lee

Faculty, Staff and Student Publications

Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial settings. We focus on nature-inspired metaheuristics and apply one of its exemplary algorithms, the particle swarm optimization (PSO) algorithm, to find phase I/II designs that jointly consider toxicity and efficacy. As a specific application, we demonstrate the utility of PSO in designing optimal dose-finding studies to estimate the optimal biological dose (OBD) for a continuation-ratio model with four parameters …

Shifting Instructional Planning Practices: Exploring High School Mathematics Teachers' Perceptions Of Integrating The Do The Math Protocol Into Collaborative Instructional Planning, Lillian M. Gordon

Dissertations

This qualitative case study explores the perceptions of high school mathematics teachers regarding the implementation of the Do the Math protocol during collaborative instructional planning. This study investigates how the use of a structured planning tool can support professional growth and instructional improvement. Over five weeks, participants engaged with the protocol to collaboratively plan instruction. Data was collected through interviews, observation of collaborative instructional planning sessions, and analysis of instructional artifacts. Findings revealed two major themes. First, the protocol contributed to building content and pedagogical knowledge by deepening teachers’ understanding of math standards, promoting intentional collaboration, and encouraging the sharing …

The Impact Of A Multilingual Learner Professional Development On Teacher Self-Efficacy And Student Perceptions Of Teacher Support, Mark A. Bryan

Dissertations

The population of multilingual learners is struggling to adapt to mainstream classes because the educational system has failed to support them on the same level as native English speakers. The gap in achievement and lack of teacher preparation demonstrates a clear need to support teachers who educate them. This study, a nonequivalent (pretest and posttest) control-group design combined with a cross-sectional survey design, addressed the effectiveness of a professional development series focused on best practices for teaching secondary math to multilingual learners. The professional development intervention consisted of one 45-minute initial session followed by twelve 15-minute mini lessons throughout the …