Digital Commons Network^™

The Moderating Role Of Flexible Work Styles On The Relationship Between Relational Identification And Affective Organizational Commitment, Justine Lee

Master's Theses

The purpose of this study was to explore the moderating role of flexible work styles (in-person, hybrid, and remote) on the relationship between relational identification and affective organizational commitment (AOC). The study utilized an online survey to collect data from 69 respondents. The results demonstrated that although relational identification and AOC were related, this relationship was not moderated by flexible work styles. The three different work styles of in-person, hybrid, and remote work did not show differing affects for a subordinate’s relational identification and the strength of their AOC. The results emphasize that organizations can foster strong relational identification to …

Data Augmentation For Vision-Language-Action Models: Bridging Vision And Language, Miaosen Zhou

Master's Theses

This thesis focuses on real-time task execution and object detection for autonomous robots through dataset augmentation. We propose a data augmentation approach to address dataset imbalance in Vision-Language-Action (VLA) models across both image and text modalities during the fine-tuning process. The proposed method takes an image as input and generates a structured textual description using a prompt engineering strategy to augment the textual input. The generated augmented text includes key elements such as the task goal, scene description, reasoning, and execution plan, along with other relevant contextual information. This enriched representation improves the quality of the training data and supports …

Towards Neural Network Optimization: Addressing Issues With Corrupted Weights Within Models, Nick Najafizadeh

Master's Theses

Neural networks are a recent popular technology inspired from human brains. Much of their popularity arises from how they excel in reasoning and logic, and are generally rather efficient in their tasks. With those strengths, they are frequently used in transportation and business among many other fields. However, neural networks have many factors that can deteriorate their performance, one of the most critical being weight corruption. Therefore, it is of utmost importance to detect and handle them as soon as possible so as to minimize the negative impact on a network’s performance. The optimization of neural networks would be especially …

Accessibility Fairness Practices In Ai Applications For People With Disabilities, Megan Gross

Master's Theses

Advancements in artificial intelligence (AI) improve the lives of people every day with tools like the auto-captioning of videos, improved screen-reader capabilities, and advanced mobility control through speech. However, are all groups of people benefiting from AI or are some being overlooked and left out? Although AI tools made for people with disabilities (PWDs) have improved their lives, AI for the general population generally ignores the experiences of PWDs, making them unable to interact with and benefit from technology. This research evaluates ChatGPT and Gemini in Gmail for usability fairness and analyzes how current regulations and development processes fail to …

Diagrammatic Methods For Calculating Correlation Functions In Low-Dimensional Quantum Gravity, Nicholas A. Parrilla

Master's Theses

This thesis investigates connections between random matrix theory and low-dimensional quantum gravity through the spectral form factor (SFF), a well-studied function that characterizes correlations in the eigenvalue spectrum of an operator. In random matrix ensembles, a feature of the SFF known as the “ramp” is governed by universal spectral correlations, and in Jackiw–Teitelboim (JT) gravity this regime is due to the double-trumpet wormhole geometry. We study the connected correlation functions underlying the SFF using combinatorial, diagrammatic methods from a mathematical formalism known as second-order free probability theory, where they are expressed in terms of annular noncrossing permutations. To access a …

Rewriting The Calculus 3 Workshop At San José State University, Moorea Lippert

Master's Theses

Calculus 3 at San José State University is a very important course for any student pursuing a STEM degree. However, the course is very challenging, so the university offers a supplemental workshop course for Calculus 3 students. Unfortunately, this workshop has not aligned with modern research in math education. This thesis documents efforts to recreate the workshop to better align with this modern research.

Pipeline Optimization Of Agentic Llms For Text-To-Sql, Peter Conant

Master's Theses

Current database interfaces limit users’ interaction to those with technical skills, creating timely roadblocks for non-technical professionals. Text-to-SQL aims to simplify database interactions by translating natural language questions into database queries, but long-standing challenges like question understanding, question-schema linking, and SQL generation have held the field back. In the AI era, foundational LLMs prove to be very capable of question understanding SQL, perform well in Schema Linking, Generation, and Evaluation tasks. However the cost to run these model is a hurdle for many organization with low funds and resources. Text-to-SQL solutions often operate across large enterprise size databases with, and …

Early Failure Detection In Web Navigation Agents Via Closed Sequential Pattern Mining, Sergio Talavera

Master's Theses

LLM-based web navigation agents fail on the majority of tasks while consuming substantial computational resources before failure becomes apparent. This thesis investigates whether closed sequential pattern mining on the first K steps of agent execution traces can predict task failure early enough to enable meaningful computational savings with interpretable justification. We develop a two-phase system: an offline pipeline that symbolizes agent traces, extracts K-step prefixes, mines closed patterns via BIDE+, and ranks them by failure precision; and an online detector that matches live executions against the resulting pattern library. We evaluate on 1,544 MiniWoB++ traces across three open-weight language models …

The Great Return In Higher Education: Employee Perspectives Survey, Tonya P. Person

Master's Theses

The COVID-19 pandemic transformed traditional workplace structures across higher education, accelerating the adoption of hybrid and remote work arrangements. In the post-pandemic period, as universities implement or refine mandatory return-to-office (RTO) policies, understanding employee perspectives remains critical for informed decision-making. The present exploratory study investigated staff experiences with hybrid work, anticipated reactions to a five-day in-office mandate, and preferences for future work models within a large public university. Data were collected from 155 university staff members through a 12-item survey assessing perceived benefits of hybrid work, expected impact of a mandatory in-office requirement, and preferred work arrangements when given a …

Probabilistic Metric Dimension, Kyle Worley

Master's Theses

The metric dimension of a graph G is the smallest number of unique vertices (often called “marked vertices” or “landmarks”) such that each vertex has a unique distance to the marked vertices. If a set of vertices S ⊆ V (G) when marked gives all vertices unique distances, it is called a resolving set. Hence if G is a graph with a resolving set S, then for all v, u ∈ V (G) there exists s ∈ S such that d(v, s) ̸= d(u, s). The metric dimension dim(G) = min(|S|). Two widely studied variants exist, one where edges are …

Adaptive Task-Driven Lidar Point Cloud Compression For Autonomous Driving, Su Hyun Kim

Master's Theses

Autonomous-driving systems generate large LiDAR point clouds, but compression can damage the sparse object-support structure needed by 3D detectors even when reconstructions appear visually plausible. This thesis asks whether adaptive LiDAR compression can preserve downstream detection better than uniform compression by allocating more fidelity to detector-relevant regions. The main study builds a mask-aware range-image codec with an encoder-decoder bottleneck, an importance head, and an adaptive quantization variant. It compares this adaptive variant package with a confirmed masked uniform baseline under one fixed RangeDet evaluation surface and one fixed KITTI validation subset. Two supporting studies bound the result: a projection-reconstruction PointPillars …

Correction To: A Double‑Edged Sword: Ethical And Psychological Implications Of Apoe Genotype Disclosure Across The Lifespan, Diego Iacono

Department of Neurology Faculty Papers

No abstract provided.

Hybrid Microbial-Enzymatic Electrosynthesis For De Novo Decanoic Acid Production From Co2, Yongze Wang, Wenjin Dong, Meijing Wei, Su Song, Zhiqing Huang, Yaojie Liu, Shelley D. Minteer, Hui Chen

Chemistry Faculty Research & Creative Works

The steady increase in atmospheric CO₂ levels is a key driver of anthropogenic climate change, prompting widespread global concern. In this context, the sustainable conversion of CO₂ into value-added chemicals represents an attractive route toward carbon-neutral manufacturing and green chemistry. Here, we developed a proof-of-concept hybrid microbial-enzymatic electrosynthesis system that combines microbial electrosynthesis (MES) and enzymatic electrosynthesis (EES) to convert CO₂ into decanoic acid under ambient conditions, using electrical energy. In the MES module, CO₂ was converted to acetate via the Wood–Ljungdahl pathway of Clostridium ljungdahlii, using H2 produced by electrochemical water splitting as the electron …

Establishing E-Prodeskel, An Integrated Village Information System For The Empowerment Of The Local Community In Kediri, Ani Budi Astuti, Eni Sumarminingsih, Wayan Firdaus Mahmudy, Maulina Pia Wulandari, Wigbertus Ngabu, Nur Kamilah Sa'diyah, Gusti Ayu Putu Rawi Rotchildi, Izza Lailatul Kasanah, Yusuf Gladiensyah Bihanda, Akbar Satya Nugraha

ASEAN Journal of Community Engagement

Digital transformation has become an important strategy for strengthening community empowerment by improving access to public information, governance transparency, and village services. However, many rural communities in Indonesia still face challenges in managing accurate village profile data and utilizing digital technologies to support good governance and sustainable development. This study examines a community engagement program in Purwokerto Village, Kediri Regency, Indonesia. The program intended to develop and implement E-ProDesKel (Elektronik Profil Desa Kelurahan or Electronic Village and Wards Profile), a web-based portal for an integrated village profile information system. The program adopted a participatory approach starting from an assessment …

"Girl I'Ll Figure It Out": First-Generation Women Of Color Navigating Higher Education, Prisilla Cortez

Dissertations

This qualitative study focused on understanding the experiences of first-generation women of color at a California public four-year institution and how their intersecting identities shape their academic experiences and overall well-being. Women of Color Feminist (Crenshaw, 1991), and intersectionality frameworks guided this study. Semi-structured interviews were used to collect data, and thematic analysis was used to identify patterns in participants’ experiences. Findings revealed three central themes, collective orientation and familial expectations, faculty interactions and sense of belonging, and institutional resources and access. Participants described navigating higher education while balancing family responsibilities, financial pressures, and academic demands. Although they demonstrated resilience …

Examining Beliefs Of State Department Of Education Directors Of Assessment Regarding Standardized Testing, Sara L. Kendallen

Dissertations

Directors of assessment in state departments of education are tasked with the planning and oversight, including development, field-testing, validation, and operationalization of statewide assessments. At the state level, directors of assessment are pivotal to a department of education’s ability to meet state and federal testing requirements. Directors of assessment hold their own opinions and beliefs, which may or may not be aligned with current adopted policies. The beliefs of those in state level educational bureaucracies about standardized testing has not been well-researched. It is hoped that this research will add to the greater understanding of statewide assessment. The goal of …

The Experiences Of Deaf American Muslims In Their Pursuit And Retention Of Employment, Shukry Mahmood

Walden Dissertations and Doctoral Studies

Deaf American Muslims in the United States face high levels of unemployment. They often experience compounded marginalization at the intersection of disability, religion, and cultural identity, which often leads to exclusion and underrepresentation in employment contexts. The purpose of the study was to explore the lived experiences while pursuing and retaining employment in the United States of deaf Muslims in United States workplaces. In this qualitative study, a self-designed, semistructured interview protocol with open-ended questions was used to explore these experiences. The sample of 12 participants was selected based on their self-identification as deaf American Muslims with at least 30 …

Analysis Of Electronic Control Unit Optimization On The Performance Of A 150 Cc Motorcycle Engine Using Ethanol-Blended Fuel, Agus Achmad Syaiful, Annisa Bhikuning, Muhammad Rizal Baihaqi, Muhammad Aulia Rafli

Journal of Mechanical Engineering Science and Technology (JMEST)

The use of ethanol-blended fuel in a standard vehicle can reduce combustion quality, which has an impact on decreasing vehicle performance. At the above 20% blend level, it affects vehicle performance and requires adjustments to engine settings or the Electronic Control Unit (ECU) before use on conventional engines. This study investigates the effect of aftermarket ECU settings on the performance of a 150 cc motorcycle operating on a gasoline-ethanol blend. Four fuel variations were tested: Pertalite (P100), revvo 90 (R100), and 30% ethanol blends (PE30 and RE30). This study analyzes the effects of optimizing injection duration and ignition timing settings …

Can Curriculum Improve Confidence? Examining The Impact Of The Implementation Of The California Math Framework On Math Anxiety Levels Of Preservice Teachers In California, Amanda Lubbs

Dissertations

In 2010, the state of California adopted the Common Core State Standards (CCSS) as an effort to ensure students were graduating high school as college and career ready. Shortly after, in 2013, the California Board of Education adopted the California Math Framework (CMF) as a tool for schools to implement the CCSS for Mathematics (CCSSM). Its recommendations incorporated research-based techniques to alleviate math anxiety through the use of explorative learning experiences that help students understand math skills in applied contexts, and by de-emphasizing rote practice and memorization. This study inquires about the framework’s effectiveness in mitigating math anxiety among pre-service …

"A Door To The Future." A Case Study In Exploratory And Culturally Sustaining Theater Curriculum, Verónica Meza

Dissertations

This study addresses the persistent inequities in access to quality arts education for Latino immigrant and linguistically diverse communities in California. Despite progressive initiatives such as Proposition 28 (The Arts and Music in Schools Act) and the California Arts Council's Racial Equity Statement, systemic barriers prevent Latino and immigrant students from benefiting equitably from the arts. The central objective of this project is to understand how an exploratory, culturally sustaining theater curriculum can serve as a transformative and healing vehicle for adult immigrant Latino students, providing emotional protection, cultural affirmation, and language preservation within a U.S. educational context. This qualitative …

An Untouched Gem: Understanding Parental Perceptions On Community College Attendance, Harshdeep Singh Nanda

Dissertations

Community colleges serve as critical entry points into higher education, yet they continue to carry stigma, particularly within affluent communities where four-year institutions are often positioned as the expected pathway. While existing research has examined student and public perceptions, little attention has been given to how parents in affluent regions shape and transmit these narratives. This study investigated how parents in an affluent region of the San Francisco Bay Area perceive community college as a starting point for their children’s academic careers and how parents may contribute to shifting those perceptions. Using a convergent parallel mixed methods design, survey data …

Understanding The Impact Of Transfer Orientation Leadership: Student Leader Perspectives At A Mid-Sized California University, Kaci Taylor Turpin

Dissertations

Community college transfer students represent a vital source of diversity for public four-year institutions; at the same time, declining enrollments heighten the need for stronger, more functional transfer pathways between community colleges and four-year universities, especially given the significant vertical transfer gap and the unique barriers transfer students face in student leadership roles. This semi-structured interview study explored the experiential knowledge of 14 first-generation transfer student orientation leaders to understand how they navigate institutional barriers in their on-campus employment. Findings reveal that these leaders navigated institutional barriers by relying on peer networks and drawing heavily on their navigational capital. Furthermore, …

Reskilling And Retraining The Water Technology Workforce: An Agentic Generative Ai Framework For Water Purification, Nano‑Mems, And Curriculum Development, Satyadhar Joshi, Noor Zulfiqar

Harrisburg University Other Works

The rapid digitalization of water infrastructure is bringing artificial intelligence, advanced sensing, and membrane materials science into routine water treatment practice. At the same time, utilities, regulators, and training institutions face a persistent workforce challenge: many operators, engineers, and managers are being asked to adopt data-driven tools without a coherent educational pathway that links AI literacy to real treatment workflows. This article synthesizes recent literature on agentic generative AI, reinforcement learning, smart sensing, nano-enabled membranes, and digital twins for water systems, then translates those developments into a structured reskilling model for the water sector. The proposed framework is organized around …

Novel Integrative Mobilizable Elements (Imes) In Vibrio Chromosomes Linked To Translucent Post-Larvae Disease (Tpd), Ruyi Hao, Yan Fang, Yang Yang, Mingshu Yang

School of Biological and Marine Sciences

Translucent post-larvae disease (TPD), caused by specific Vibrio parahaemolyticus strains, poses a global threat to shrimp aquaculture. A key virulence factor in these strains is the vhv gene cluster, which encodes toxins central to TPD pathogenesis. While plasmid-borne vhv genes have been extensively studied, the chromosome-borne vhv genes in TPD-associated strains remain poorly characterized. In this study, we systematically analyzed integrative mobilizable elements (IMEs) on the small secondary chromosomes of TPD-associated V. parahaemolyticus. Seven nearly identical novel IMEs harboring full-length vhv clusters were identified from seven independent strains. These IMEs encode a tyrosine recombinase for site-specific chromosomal integration, yet lack …

Application Of Machine Learning For Correcting Defect-Induced Neuromorphic Circuit Inference Errors, Vedant V. Sawal, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

This paper presents a machine learning-based approach to correct inference errors caused by stuck-at faults in fully analog ReRAM-based neuromorphic circuits. Using a Design-Technology Co-Optimization (DTCO) simulation framework, the study models and analyzes six spatial defect types - circular, circular-complement, ring, row, column, and checkerboard - across multiple layers of a multi-array neuromorphic architecture for handwritten digit recognition tasks. It is demonstrated that the proposed correction method, which employs a lightweight neural network trained on the circuit's 10 output voltages, can improve inference accuracy from 55% to 90% (+ 35 percentage points) in highly degraded defective scenarios. Results show that …

Childbirth Experiences Of The Bangladeshi Immigrant Women In South Florida, Tahsina Ferdous

Electronic Theses and Dissertations 2020 - Present

This qualitative research was conducted among Bangladeshi immigrant women living in South Florida who have given birth here. Twenty Bangladeshi immigrant women were selected using the snowball sampling method from various cities in South Florida. The unit of analysis was the individual Bangladeshi immigrant woman, focusing on her experiences and behavior during pregnancy and childbirth. Semi-structured interviewing and case study methods were used for data collection. The results reveal the coping strategies and the navigation process of socio-cultural transition from non-mother to mother, and the Bangladeshi traditional views regarding beliefs, rituals, and practices of Bangladeshi immigrant women regarding their pregnancy …

Beyond Histone Demethylation: Mechanisms Of N-Alkyl Consecutive Oxidations By The Non-Heme Fe(Ii)/2-Oxoglutarate Oxygenase Kdm6b, Simahudeen Bathir Jaber Sathik Rifayee, Sudheesh Devadas, Midhun George Thomas, Bhargav Varada, Ethan Sommer, Cassandra Talaba, Christopher Schofield, Christo Christov

Michigan Tech Publications

The nonheme Fe(II)/2-oxoglutarate (2OG)-dependent histone demethylase KDM6B (JMJD3) has demonstrated a capacity for diversity in the oxidative transformations of N^ε-alkylated lysine residues in histone H3 peptides; however, the mechanisms of such dealkylations, compared with standard KDM-catalyzed demethylations, remain unexplored. We implemented molecular dynamics and quantum mechanics/molecular mechanics to investigate the catalytic strategies for the sequential oxidation reactions of KDM6B with different N-alkylated forms of lysine K27 in the H3 peptide chain, that is N^ε, N^ε-methyl ethyl lysine (Lys(Me/Eth)) and N^ε-isopropyl lysine (Lys(iPr)). The results for sequential oxidations, which yield alcohol, aldehyde, and …

Micro-Computed Tomography Analysis Of Fibroblast Growth Factor-2 Activity-Induced Healing Of Dentocraniofacial Bones In Rodent Models: A Systematic Review, Fadhlil Ua. Rahman, Azhari Azhari, Lusi Epsilawati, Ria N. Firman, Barunawaty Yunus, Irfan Sugianto, Muliaty Yunus

Journal of Dentomaxillofacial Science

Objective: This study aimed to assess the impact of fibroblast growth factor-2 (FGF-2) on dentocraniofacial bone healing in rodent models using micro-computed tomography (micro-CT).

Materials and Methods: A systematic review was conducted following PRISMA 2020 guidelines. A literature search was conducted using the PubMed, Embase, Web of Science, ScienceDirect, and Wiley Online Library databases. This review included in vivo rodent studies that examined increased FGF-2 activity in craniofacial bones using micro-CT. Methodological quality and risk of bias were assessed using the ARRIVE 2.0 guidelines and the Systematic Review Center for Laboratory Animal Experimentation tool.

Results: A total of 5 studies …

From Transactions To Institutions: The Lawyer’S Role In Building Markets And Trust, L. Viswanathan

National Law School Business Law Review

No abstract provided.

Corrigendum: Urban Resilience To Environmental Displacement: Sustainable Design Strategies In Samarra And Najaf, Ghufran Rassam Hade, Khaled H. Mudhee

AUIQ Technical Engineering Science

A Corrigendum on Urban Resilience to Environmental Displacement: Sustainable Design Strategies in Samarra and Najaf by G. R. Hade, and K. H. Mudhee, (2026). AUIQ Technical Engineering Science. 3(2):8. doi:10.70645/3078-3437.1068

Reason for Corrigendum:

The editors of AUIQ Technical Engineering Science wish to notify readers of the following corrections to the above-published article.

1. Co-author name

The co-author's name was published as:

Khalid Hammood Mudhahe

The correct name is:

Khaled H. Mudhee

2. Co-author departmental affiliation

The co-author's departmental affiliation was published as:

Department of Civil Engineering, College of Engineering, University of Tikrit, Tikrit, Iraq

The correct affiliation is: …