Digital Commons Network^™

Human Resources Professional’S Job Practices In Manufacturing That Impact Employee Job Satisfaction And Retention, Alma Rosa Avalos

Dissertations

Purpose: The purpose of this explanatory sequential mixed methods study was to identify and describe employee job practices in the manufacturing industry as perceived by HR professionals that impact employee job satisfaction. The second purpose of this study was to determine which employee job satisfaction practices have the most impact on employee retention as perceived by HR professionals.

Methodology: An explanatory sequential mixed methods design examined the perceptions of 30 purposively selected Los Angeles County HR professionals. Data was collected through an online survey and interviews and analyzed using descriptive statistics, frequency tables, and qualitative analysis.

Findings: HR professionals consistently …

When Nigeria Happens To You: Finding Effective Leadership Approaches For Crisis Management And Organizational Resilience Among Nigerian Leaders, Grace Odim

Dissertations

Purpose: The purpose of this phenomenological study was to explore how Nigerian SME leaders interpret and apply leadership strategies to manage crises and build organizational resilience in volatile environments. The study focused on key dimensions of leadership, including strategic crisis navigation and vulnerability assessment, organizational resilience, contextual leadership, experiential learning and innovation, and organizational sustainability.

Methodology: This study employed a qualitative phenomenological research design to examine the lived experiences of Nigerian SME leaders who had navigated significant organizational crises. Participants were purposefully selected based on their direct experience managing disruptions that affected their businesses. Data were collected through semistructured interviews …

Neurofilament Light Chain But Not Glial Fibrillary Acidic Protein Serum Levels Are Elevated In Wolfram Syndrome, Matthew J Jansen, Heather M Lugar, Cris M Brown, Abby F Tang, Liam J Oiknine, Ling Chen, Jonathan M Koller, Brian A Gordon, Bess A Marshall, Fumihiko Urano, Tamara Hershey

2020-Current year OA Pubs

BACKGROUND: Wolfram syndrome is a rare genetic disorder caused by pathogenic variants in the

OBJECTIVE: To determine if serum NfL and/or GFAP levels are elevated in Wolfram syndrome compared to controls and whether they can serve as monitoring biomarkers.

METHODS: Serum NfL and GFAP levels were log

RESULTS: NfL levels were higher in the Wolfram group relative to all control groups (

CONCLUSION: Serum NfL elevation in Wolfram syndrome may reflect the ongoing, relatively slow neurodegeneration occurring in this disorder. However, without any correspondence between serum levels and currently used clinical and neuroimaging metrics, it has limited utility as a …

Interpretive Facts: Textualism, Empiricism, And The Law-Fact Divide, Hannah Walser

Articles

This Article offers the first systematic examination of where empirical linguistic evidence should fit in the federal court system's division of labor based on law and fact. I begin by identifying interpretive facts : generalized empirical evidence about how a particular word or phrase has been used by a population of speakers, understood by a population of listeners, or both. Thanks to technological advances in corpus linguistics permitting the quantitative analysis of large numbers of texts, as well as methodological shifts that frame ordinary meaning as an empirical question, such facts are increasingly prominent in statutory and constitutional interpretation cases. …

From The Goodness Of Our Hearts: A Scoping Review Of Qualitative Literature On Altruism As A Reward Mechanism For Nursing, Jacqueline Christianson, Madaline Mccarthy, Bonnie Sommers-Olson, Emily Horner, Norah L. Johnson

College of Nursing Faculty Research and Publications

Introduction

Altruism, the desire to help others, is a common motivation for choosing a career in nursing. Improved understanding of the role of altruism as a reward or motivation for currently-practicing nurses may inform future interventions to improve effort-reward balance among practicing nurses. Therefore, the purpose of this study was to collect, examine, and present literature on how altruism has been described as a reward mechanism or motivation for engaging in professional nursing.

Methods

This scoping review of literature used the Arksey & O’Malley method, PRISMA-ScR reporting checklist, and Rayyan review management platform. PubMed, Web of Science, and CINAHL were …

Memory Effects In Many-Body Systems, Jeffrey Beckstrand

Master's Projects

This thesis investigates memory effects in many-body systems through the MoriZwanzig Formalism for projected dynamics of a Hamiltonian System which yields the Generalized Langevin Equation (GLE). The GLE is a stochastic differential equation (SDE) that studies the dynamics of observables under the effects of many other observables in the system. Although satisfying, the GLE has a term called the Memory Kernel that encodes the past of the system and introduces a computational challenge by introducing a non-Markovian property to the equation. The kernel is often approximated by introducing a delta function, which simplifies the computation, but at the loss of …

Impact Of Cigarette Smoke On Immune And Stromal Cells, Justin Wong

Master's Projects

Cigarette smoke is a plight on human health, being a major contributor to lung diseases. The aryl hydrocarbon receptor (AHR) directs immune regulation and metabolic adaptation in response to environmental toxins. This study investigates transcriptomic changes between wild-type and AHR knockout mouse lung tissue under smoke and air conditions. Single-cell RNA sequencing data were generated by the Butcher Lab and analyzed in Seurat for differential gene expression (DGE) analysis. A two way ANOVA framework was used with DGE analysis to classify genes as smoke induced or suppressed in an AHR dependent or independent manner, and these gene sets were analyzed …

Safe-R2r: A Safety-Aware And Budget-Optimized Retrieval Controller For Rag Systems, Mandar Sunil Gondane

Master's Projects

Retrieval-Augmented Generation (RAG) improves factual grounding in large language models by incorporating external evidence during inference. However, most RAG systems rely on fixed retrieval strategies that ignore query difficulty, computational cost, and prediction uncertainty. This project introduces SAFE-R2R (Safety-Aware and Budget-Optimized Reason-to-Retrieve), a retrieval controller that treats retrieval as a query-dependent decision problem. SAFE-R2R organizes retrieval into a multi-rung ladder ranging from no retrieval to deeper retrieval with reranking. At each rung, the system generates an answer, computes reliability signals, and combines them into a risk score used within a conformal calibration framework to decide whether to accept the answer …

Multi-Agent Path Planning And Optimization Using Q-Learning, Chirag Rudrish

Master's Projects

Robot navigation in a multi-agent setting requires a balance between safety and efficiency, especially in dense environments. In these two-dimensional spaces, the scope for geometric errors is much less and could lead to collisions or immobility. This project proposes to address the navigation task using a two-phase path planning pipeline that combines reinforcement learning and convex optimization in a scalable and robust manner. The first phase consists of generating diverse collision-free paths using a Q-learning agent that is trained on a visibility graph representation of the environment. The discretization of the environment using waypoint-based graphs allows the agent to train …

Cost-Aware Predictive Routing For Vision-Language Models, Sahil Sait Naveed

Master's Projects

Vision-language models (VLMs) are increasingly used for multimodal tasks, but their inference costs vary widely across model tiers. This work presents a predictive routing framework that assigns each query to the most cost-effective VLM by using multimodal embeddings, clustering, and per-cluster model error estimates. Evaluated on six commercial VLMs, the selected router reduces average cost by about 49 percent relative to the quality-first setting on both validation and test. This comes with accuracy losses of 0.4 percentage points on validation and 0.9 on held-out test data. It also outperforms K-NN and ZeroRouter routing baselines while providing lowercost operating points than …

Stepwise Sudoku Reasoning Training Using Transformers, Lok Man Chu

Master's Projects

Sudoku is a constraint satisfaction problem that serves as a testbed for studying reasoning and stepwise deduction. While many solvers can produce correct solutions, they often fail to generate human interpretable sequences of logically consistent steps. This study investigates whether a transformer trained on stepwise deduction traces can learn to solve Sudoku puzzles through sequential, logically deducible moves. Results show that solve accuracy improves significantly with more training data, reaching approximately 78% at 1500k samples. Stepwise analysis indicates that the model effectively learns simple strategies, achieving near-perfect performance. However, performance on more complex strategies remains limited. Overall, while the model …

Adaptive Real-Time Fraud Detection Using Online Learning And Explicit Concept-Drift Detection, Purva Govind Tugaonkar

Master's Projects

Real-time credit card fraud detection faces challenges such as extreme class imbalance, delayed feedback, and concept drift in transaction streams. This project implements and evaluates an adaptive streaming fraud detection framework based on three methodologies: (1) online learning with incremental updates, (2) explicit conceptdrift detection using statistical monitoring, and (3) separate models for immediate and delayed supervision, combined with cost-sensitive learning and anomaly detection. The system processes the credit card fraud dataset in a batched streaming fashion, uses multiple online learners and ensembles. Experiments show that online, driftaware models maintain high recall on frauds while controlling false positives under imbalanced …

Multi-Agent Path Planning And Optimization Using Q-Learning, Chirag Rudresh

Master's Projects

Robot navigation in a multi-agent setting requires a balance between safety and efficiency, especially in dense environments. In these two-dimensional spaces, the scope for geometric errors is much less and could lead to collisions or immobility. This project proposes to address the navigation task using a two-phase path planning pipeline that combines reinforcement learning and convex optimization in a scalable and robust manner. The first phase consists of generating diverse collision-free paths using a Q-learning agent that is trained on a visibility graph representation of the environment. The discretization of the environment using waypoint-based graphs allows the agent to train …

Ai Deployment Authorisation: A Global Standard For Machine-Readable Governance Of High-Risk Artificial Intelligence, Daniel Djan Saparning

Student Publications

Modern artificial intelligence (AI) governance lacks a formal, enforceable mechanism for determining whether a given AI system is legally permitted to operate in a specific domain and jurisdiction. Existing approaches-such as model cards, audits, and benchmark evaluations provide descriptive information about model behaviour and training data but do not produce binding deployment decisions with legal or financial force. This paper introduces the AI Deployment Authorisation Score (ADAS). This machine-readable, regulator-grade framework evaluates AI systems across five legally and economically grounded dimensions: Risk, Alignment, Externality, Control, and Auditability, derived from safety engineering, alignment theory, algorithmic accountability, and liability economics. ADAS produces …

Construction Industry Preparedness For Generation Z And Millennials: Aligning Industry Characteristics With Workforce Job Preferences, Ameenullah Amiri, Dhaval R. Gajjar, Jason D. Lucas

The Professional Constructor

The construction industry in the United States suffers from workforce shortages, partly due to younger generations being hired more slowly than baby boomers retire. Generation Z’s (Gen Z) lack of interest in joining the construction industry, coupled with the retirement of older workers, has amplified the problem. This paper investigates existing literature to identify the work and career preferences of Gen Z and Millennials and determine where the industry may focus efforts to attract these two generations. Through a systematic literature review, this study identified overlaps and gaps between the current construction industry workforce’s perceptions of the industry and the …

Annual Report Of The Officers Of The Town Of Campton, New Hampshire For The Fiscal Year Ending December 31, 2025, Campton Town Representatives

Campton, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

2025 Annual Report Of The Officers, Town Of Orange, New Hampshire, Orange Town Representatives

Orange, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Town Of Bow New Hampshire And Bow School District 2025 Town And School Annual Report, Bow Town Representatives

Bow, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Nutrient-Driven Transcription Factor-Dna Interactions And Their Signaling Mechanisms In Metabolic Disease, Evelyn A. Bates

Theses and Dissertations--Nutritional Sciences

Metabolic homeostasis is maintained through tightly coordinated signaling networks that integrate diverse physiological inputs. Central to this regulation are transcription factors, which sense nutrient, hormonal, and vitamin-derived signals and translate them into coordinated gene expression programs. Transcription factor activity is governed by DNA binding, recruitment of coregulatory proteins, and interactions with specific response elements in gene promoters, which allows them to selectively modulate diverse metabolic pathways. Owing to their multifactorial and tunable nature, transcription factors have emerged as promising targets for the treatment and diagnosis of metabolic diseases, including metabolic dysfunction-associated steatotic liver disease (MASLD). This dissertation explores the molecular …

Efficient Organic Molecular Crystal Structure Prediction Using The Density Functional Tight-Binding Method, Maureen M. Kitheka, Yan Jing, Yan Yao, Puja Goyal

Faculty Publications – Chemistry

Over the years, computational crystal structure prediction (CSP) for organic molecules has thrived as an area of research, spanning various scientific disciplines and having significant applications in industries such as pharmaceuticals and agrochemicals. Within the field of batteries, redox-active organic materials (ROMs) such as quinones have received increased attention as promising electrode materials for rechargeable batteries. However, experimental determination of the crystal structure of intermediate species formed during the discharge/charge cycle can often be challenging. Incomplete X-ray diffraction patterns can also lead to difficulties in crystal structure determination for ROMs used in batteries. Use of a semiempirical electronic structure method …

Review Of Resisting Erasure: Libraries In Palestine And Palestine In Libraries, Michael Kirby

Publications and Research

No abstract provided.

The Trial Of Socrates, Jonathan Van Patten

Faculty Publications

In many important ways, the trial of Socrates was not just the trial of the century, nor even the trial of the millennium. It predated the trial of Jesus, which is important for many other reasons, but Socrates’ contribution to how we think about justice and the rule of law is without equal. This Article explores the ways that this fifth-century B.C. trial, located geographically on the margin of what came to be known as the West, is at the center of what makes us a civilization. It is not simply about the drama, nor the politics of free inquiry, …

Vegetation Species And Bed Position May Drive Epifaunal But Not Nekton Habitat Use In Estuarine Submerged Vegetation In The Mobile-Tensaw River Delta, Alabama, Steven Vroljik, Kathryn O'Shaughnessy, Ashley Mcdonald, Zoey Hendrickson, Bethany Kiley, Anna Reimer, Sierra Robertson, Samantha Smith, Edward Sullivan, Charles Martin

Gulf and Caribbean Research

Submerged aquatic vegetation (SAV) supports nekton and epifaunal macroinvertebrates, sustaining food webs and ecosystem services in estuaries. Invasive SAV can alter these dynamics by displacing native vegetation and restructuring communities. In Alabama’s Mobile-Tensaw Delta (MTD), Eurasian milfoil (Myriophyllum spicatum) is rapidly expanding and outcompeting native wild celery (Vallisneria americana). This study compared nekton and epifaunal assemblages between M. spicatum and V. americana, focusing on edge versus interior positions. Nekton surveys identified 22 taxa (M. spicatum, n = 13; V. americana, n = 18), but assemblages did not differ significantly between vegetation types …

Detecting And Repairing Conflicting Constraints In Co-Trained Physics-Informed Neural Networks For Composite Curing Processes, Cooper J. Evans

Dissertations, Master's Theses and Master's Reports

Composite materials have become a critical component of modern manufacturing, especially in the automotive and aerospace industries. The curing process for these composites has been modeled using a variety of partial differential equations representing the heat transfer and composite curing kinetics. Optimizing the applied temperature profile is critical for maximizing the efficiency and capacity of composite part manufacturers. Constraints must be placed on the inputs and outputs of the model, including but not limited to, the applied temperature profile, part temperature, and final degree of cure. Conflicting sets of constraints are easy to unknowingly impose due to the highly coupled …

Torque-Based Detection And Isolation Of Bucket-Specific Load Variations In A Continuous Bucket Ladder Excavator, Mason R. Krause

Dissertations, Master's Theses and Master's Reports

Understanding how cutter geometry, material, and operating conditions influence excavation performance is critical for the design of lunar surface systems operating in regolith environments. This work presents a torque-based methodology for detecting and quantifying bucket-specific load variations in a continuous bucket ladder excavator. A nine-bucket excavator was constructed to record drivetrain torque while operating in a regolith simulant over multi-day test periods. Each bucket featured a unique combination of cutting edge material and geometry. A method was developed to separate the continuous torque data into individual excavation events, enabling identification of individual bucket interactions. Analysis of the resulting event-based dataset …

Practicing Law From Home During The Pandemic: Findings From The University Of Michigan Law School Alumni Survey, David L. Chambers

Bibliography of Research Using UMLS Alumni Survey Data

The University of Michigan Law School, through its Alumni Survey Project, conducts annual surveys of its graduates regarding their current work and their careers as a whole.  In the surveys conducted in 2022, 2023, and 2024, the Project included questions about the impacts of the coronavirus pandemic on various aspects of graduates’ work – their productivity, their co-worker relationships, their client relationships, the balance of their work and family life, and their income – as well as on their work experience overall. 819 graduates who had practiced law fulltime during the pandemic responded to the questions and more than half …

Thrive Together: A Culturally Responsive Group Intervention To Support Emotional Regulation And Behavioral Health Among Underserved Middle School Youth, Cherish Harris

Psychology Doctoral Specialization Projects

Mental health concerns among children and adolescents continue to represent a significant public health concern, particularly among underserved and minority youth who experience disproportionate exposure to systemic inequities, chronic stressors, and barriers to mental health care. Schools frequently serve as primary points of contact for youth experiencing emotional and behavioral difficulties; however, many settings lack accessible interventions that adequately address both internalizing and externalizing concerns. The purpose of this doctoral project was to develop Thrive Together, a culturally responsive group intervention designed to support middle school students experiencing emotional, behavioral, and interpersonal challenges. The intervention was developed in response …

2026 Projects Day Booklet, Seattle University

Projects Day Booklets

No abstract provided.

The Ftc's First Action Under The Inform Consumers Act: A New Era Of Enforcement?, Karli Hiltner

Loyola Consumer Law Review

No abstract provided.

The Limits Of Privacy Protection: Why Ai Chatbots Demand Coppa Changes, Jacob Yeskis

Loyola Consumer Law Review

No abstract provided.