Digital Commons Network^™

The Role Of Negotiable And Non Negotiable Dimensions In Brand Revitalization: The Case Of Whisky Packaging Design, Liang Wang

Dissertations and Theses Collection (Open Access)

In consumer sectors such as digital appliances, apparel, cosmetics, and food and beverages, the number of brands has grown explosively, intensifying market competition. As the primary touchpoint between brands and consumers, product packaging design directly shapes consumer attitudes. Adjustments to packaging elements can catalyze brand growth but may also trigger trust crises. Although recent studies have explored the role of packaging design in brand revitalization, research remains insufficient regarding its “negotiable” and “non-negotiable” dimensions and the mechanisms through which it influences consumer attitudes.

Drawing on brand life cycle theory, brand image theory, and consumer behavior theory, this dissertation investigates how …

Middle Plaza Redesign, Marlo Lavacude-Klenck

City and Regional Planning

Middle Plaza Redesign presents a conceptual redevelopment of Middle Plaza, an 8.43-acre site located at 500 El Camino Real in Menlo Park, California. Originally developed as a mixed-use project in the 2010s, the redesign evaluates the site through the regulatory atmosphere, market conditions, and housing needs of 2025.

The project examines site conditions, market demand, state and local planning frameworks, and applicable development standards, including recent California housing legislation that eliminates parking minimums and streamlines environmental review. A financial feasibility analysis using proforma modeling evaluates two investment scenarios and demonstrates the economic challenges of delivering high-density rental housing despite regulatory …

Nature-Based And Outdoor Learning In The K-12 Setting, Samantha Bertotti, Cecilia Dunbar, Julia Fazio

Psychology and Child Development

This literature review examines the impact of nature-based and outdoor learning on K–12 students’ academic achievement, socio-emotional development, and mental health. Drawing on a wide range of empirical studies and systematic reviews, the paper highlights how learning in natural environments enhances academic outcomes by improving self-efficacy, cognitive functioning, and student engagement. Evidence consistently shows that outdoor learning fosters critical thinking, collaboration, and deeper conceptual understanding compared to traditional classroom instruction.

In addition to academic benefits, nature-based learning supports socio-emotional development by strengthening peer relationships, promoting confidence, and encouraging prosocial behaviors such as cooperation and empathy. These environments provide opportunities for …

A Reflective Case Study: Mission Plaza Enhancement Project, Emma J. Roeller, Sheridan R. Green

City and Regional Planning

This reflective case study examines the purpose and process that has guided the Mission Plaza Enhancement Project. This leads us to our research question:

How do foundational theories of behavior in public space in tandem with evolving community needs shape the motivations and process behind the Mission Plaza Enhancement Project? What lessons can be drawn from observed behavioral patterns and planner perspectives to inform future phases of the plan?

To gain a deeper understanding of what makes a public space successful and how to record and analyze behavior in a public space, we will use foundational planning literature from the …

Riverbend Ranch Mixed-Use Development Project, Anthony James Sousa

City and Regional Planning

This senior project is a proposed mixed-use development project in the City of Visalia, California. The scope of work includes site analysis and site plan development formatted in a comprehensive development package. This project aims to set a precedent for future development in the City of Visalia by increasing density to meet housing requirements and incorporating various urban agricultural uses to reconnect the urban and rural relationship. Additionally, the project includes a literature review on urban agriculture to explain its role in planning practice.

Cvj Torque Loss Dynamometer, Malaika Sriram, Coleman Brown, Zachary Norris, Logan Mast, Chris Mattis

Mechanical Engineering

This report details the design and results of a dynamometer testing rig built to measure torque losses in constant velocity joints (CVJs) for Cal Poly Racing's Baja SAE team. The rig spins a flywheel connected to articulable CVJs up to 800 RPM using a motor, then decouples it and measures the spin-down rate from 800 to 100 RPM to calculate angular acceleration and torque loss. The data collected from this dyno will be used to inform freewheel packaging for future Baja car development.

To Hunt Or Not To Hunt: Is It That Simple For Female Hunters?, Hayley Nash Jackson, Lauren Redmore, Christopher A. Cheek, Jennifer Zavaleta Cheek

Natural Resource Management Faculty Publications

Natural resource agencies and researchers have often focused efforts to reduce the constraints women face in hunting. However, many women continue to hunt despite these barriers, suggesting a need to understand the complex decisions they make. This study explores the decision space that women navigate despite logistical, cultural, and personal constraints. This mixed method study used free lists (n = 50) and semi-structured interviews (n = 22) to identify the most salient decisions women make to go hunting. These included decisions about gear, household responsibilities, hunting partners, land access, and pre-planning. Interviews revealed how women strategically make decisions to navigate …

Flexural Behavior Of Double-Layer Concrete Beams Composed Of Normal And Steel Fiber-Reinforced Concrete, Shaida Rasul Abdalrahman, Ayad Zaki Saber Agha

Polytechnic Journal

This investigation studies the flexural performance of double-layer reinforced concrete beams composed of ordinary concrete and steel fiber reinforced concrete (SFRC). The study evaluates the effects of bottom layer thickness, shear span ratio (a/d) and straight steel fiber volume fraction on structural behavior. The study project comprises twenty reinforced concrete beams, all specimens had across-section size of (125 mm × 250 mm) and different length of (1300, 1740, 2180) mm. The specimens were simple support and strengthened with flexural reinforcement of (4Ø12mm) and transverse reinforcement employing (Ø10@110mm) bars as stirrups. The results demonstrate that the double-layer concrete configuration significantly improves …

The Social And Biological Frontiers Of Polio: Comparing Global Eradication Strategies, Srisai A. Turangi

Honors Program: Senior Projects (Public)

This paper provides a comparative analysis of the divergent global strategies for poliomyelitis (polio) eradication, examining the historical and structural contexts of developed nations – the United States and United Kingdom – alongside the enduring challenges in endemic regions such as Nigeria and Pakistan. Biomedical innovations like the Inactivated Polio Vaccine (IPV) and Oral Polio Vaccine (OPV) have helped bring the world to a state of almost complete global eradication, but progress is still uneven due to variations in funding, healthcare infrastructure, and the legacy of colonialism. Studies reveal how a framework where global health inequalities remained, allowed for resource-rich …

Parent-Child Interactions Across Contexts And Children’S Adaptive Classroom Behaviors In Second Grade, Hannah Dalton

Honors Program: Senior Projects (Public)

Adaptive classroom behaviors are important for children’s success in the classroom by supporting their abilities to learn academic concepts and positively engage with peers. Research indicates that parents’ behaviors during interactions with their children are important for their social and academic outcomes, but there may be variance in parents’ behaviors based on their goals for the interaction. The current study examined interaction quality across three parent-child interaction tasks and correlations with their second-grade children’s adaptive classroom behaviors. The sample included 170 second-grade children and their parents who completed three joint tasks: a puzzle task, a homework task, and a conflict …

Pornographic Deepfakes And Ugly Social Facts: The Costs Of A Normative Approach To Defamation, Kathleen Ross

Michigan Law Review

Around the world, women and girls are being victimized by pornographic deepfakes— alarmingly convincing, sexually exploitative images and videos generated using artificial intelligence (AI). Facing statutory gaps, victims may turn to traditional tort law claims to recover for the injuries inflicted by pornographic deepfakes. Defamation law, which protects against reputational injuries caused by false statements, is a particularly compelling arena for vindicating the interests invaded by a pornographic deepfake—interests which are, at their heart, social and reputational. Fortunately for deepfake victims, a pornographic deepfake will often satisfy defamation’s basic elements: A false and defamatory communication that concerns the victim and …

Women’S Roles In Philippine Agriculture In The Context Of Climate Change: A Meta-Synthesis Using The Gender Analysis Framework, Gemnmalyn M. Trespalacio, Nico Jayson C. Anastacio, Samantha Geraldine G. De Los Santos

The Philippine Agricultural Scientist

This paper highlights the critical role of women, including their contribution to adapting to the effects of climate change on the Philippine agriculture sector. It provides an overview of women’s roles in agriculture in the context of climate change through the lens of the Gender Analysis Framework (GAF). A total of 1,823 relevant articles were collected from ScienceDirect, adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. After 2 levels of screening process, 17 articles were synthesized guided by the domains of GAF: (1) access to assets; (2) practices and participation; (3) beliefs and perception; and (4) …

Integrative Effects Of Mycorrhizal Fungi, Azotobacter, And Azospirillum With Different Nitrogen Levels On Morphophysiological Responses And Drought Tolerance Of Maize (Zea Mays L.) ‘Sc706’ Under Varying Water Deficit Conditions, Nozar Shamohammadi, Mahdi Zare, Korosh Ordookhani, Farshid Aref, Shahram Sharafzadeh

The Philippine Agricultural Scientist

Under drought stress, soil fertility declines sharply, restricting nutrient availability and reducing plant productivity. This study evaluated the effects of mycorrhiza, Azotobacter, and Azospirillum combined with nitrogen on the morpho-physiological traits of maize (Zea mays L.) hybrid SC706 plants under different water deficit conditions. The experiment was conducted at a research field in Fars Province, Iran, over 2 consecutive years (2017–2018, 2018–2019) and applied a split-split plot design based on a Randomized Complete Block Design (RCBD) with 3 replicates. It assessed the effects of the 3 biological fertilizers in 4 treatment groups (Control [B1], inoculation with mycorrhiza alone …

Characterization Of Syntaxin 18 In Peregrinus Maidis And In Vitro Dsrna Synthesis For Potential Rnai-Mediated Control Of Maize Mosaic Alphanucleorhabdovirus (Mmv) Transmission, Hannah Corinne T. Cantaros, Charlene Niebres, Ruth Alessandra Banasihan, Argel L. Arenas, Karen B. Alviar

The Philippine Agricultural Scientist

The plant virus known as Maize mosaic alphanucleorhabdovirus (MMV) is a persistent, propagative pathogen transmitted by the corn planthopper Peregrinus maidis Ashmead (Hemiptera: Delphacidae). It is the causal agent for a mosaic disease that can cause significant loss in corn yield. Currently, disease management is focused on controlling its insect vector population. The molecular mechanisms of virus transmission by the insect vector are not yet fully understood. Previously, P. maidis syntaxin 18 (PmSTX18) was identified as a receptor for MMV. PmSTX18 interacts with the viral glycoprotein and potentially facilitates MMV recognition and entry into the vector, enabling virus …

Characterization Of Syntaxin 18 In Peregrinus Maidis And In Vitro Dsrna Synthesis For Potential Rnai-Mediated Control Of Maize Mosaic Alphanucleorhabdovirus (Mmv) Transmission, Hannah Corinne T. Cantaros, Charlene Niebres, Ruth Alessandra Banasihan, Argel L. Arenas, Karen B. Alviar

The Philippine Agricultural Scientist

The plant virus known as Maize mosaic alphanucleorhabdovirus (MMV) is a persistent, propagative pathogen transmitted by the corn planthopper Peregrinus maidis Ashmead (Hemiptera: Delphacidae). It is the causal agent for a mosaic disease that can cause significant loss in corn yield. Currently, disease management is focused on controlling its insect vector population. The molecular mechanisms of virus transmission by the insect vector are not yet fully understood. Previously, P. maidis syntaxin 18 (PmSTX18) was identified as a receptor for MMV. PmSTX18 interacts with the viral glycoprotein and potentially facilitates MMV recognition and entry into the vector, enabling virus …

Integrative Effects Of Mycorrhizal Fungi, Azotobacter, And Azospirillum With Different Nitrogen Levels On Morphophysiological Responses And Drought Tolerance Of Maize (Zea Mays L.) ‘Sc706’ Under Varying Water Deficit Conditions, Nozar Shamohammadi, Mahdi Zare, Korosh Ordookhani, Farshid Aref, Shahram Sharafzadeh

The Philippine Agricultural Scientist

Under drought stress, soil fertility declines sharply, restricting nutrient availability and reducing plant productivity. This study evaluated the effects of mycorrhiza, Azotobacter, and Azospirillum combined with nitrogen on the morpho-physiological traits of maize (Zea mays L.) hybrid SC706 plants under different water deficit conditions. The experiment was conducted at a research field in Fars Province, Iran, over 2 consecutive years (2017–2018, 2018–2019) and applied a split-split plot design based on a Randomized Complete Block Design (RCBD) with 3 replicates. It assessed the effects of the 3 biological fertilizers in 4 treatment groups (Control [B1], inoculation with mycorrhiza alone …

Ngss Information, Alison Warren

NGSS Information

No abstract provided.

Situation Mouse All Floxed Up: Exploring Phenotypic Abnormalities In Bdnf Floxed Mice, Marissa A. Burkman

All NMU Master's Theses

Animal research is a contentious topic in both the scientific and general communities.  It is essential that our animal models accurately and predictably depict intended phenotypes, necessitating careful colony monitoring and maintenance.  Volunteer animal staff in the Ottem Laboratory became concerned when mice with LoxP sites flanking the BDNF gene depicted anxiety-like behaviors such as aggression, difficulty handling, and increased agitation.  Though many studies have noted behavioral and phenotypic abnormalities related to large gene inserts, few have noted abnormalities with small gene inserts such as the 34 bp LoxP site.  Brandt (2018) performed a three-stage behavioral protocol on these mice …

Time-Dependent Amplification Of Growth Rates In A Plankton-Oxygen Model, Rapha Coutin

Master's Theses

Near-bottom hypoxia occurs when dissolved oxygen levels drop to a level that is harmful to marine biology, creating biological dead zones along the ocean floor. Recent years have seen a dramatic increase in the percentage of coastal, near-bottom, hypoxic water, with the average in 2021 nearly double that of the average from 2009 to 2018 and about twenty-eight times the average from 1950 to 1980. Recent literature has linked this increase in oceanic hypoxia to the increase in upwelling-favorable winds caused by climate change. Upwelling brings low-oxygen, nutrient-rich water up to the surface, leading to plankton blooms and mass consumption …

Toxic Immortality: Rethinking Decline And Plastics With Lucretius, Jessica Croteau

Environmental Studies Faculty Scholarship

Much of contemporary environmental thought operates within paradigms of conservation, sustainability, and resilience—frameworks that assume the goal of ecological politics must be to prevent loss, preserve stability, and mitigate decline. However, these frameworks inadequately address cases where persistence and abundance, rather than disappearance, are the source of harm. By contrast, this article argues that an ecological ethic oriented toward decline, unbecoming, and decomposition reveals an alternative set of political and material stakes: not the conservation of things but their proper dissolution. Drawing from the materialist philosophy of Lucretius, the article critiques the prevailing assumption that endurance is inherently beneficial, highlighting …

Is Field Size An Indicator Of Farm Size In Smallholder-Dominated Croplands?, Sitian Xiong, Protensia Hadunka, Brian P. Mulenga, Kathy Baylis, Philippe Rufin, Lyndon Estes

Geography

Farm size is a key characteristic of agricultural systems, closely linked to farming and land management practices. However, data on farm size are often difficult to obtain, especially in smallholder-dominated regions, and where available, they are rarely spatially explicit. This study examines the use of field size as a proxy for farm size, aiming to identify field size thresholds that can distinguish farms of different sizes. Using household-level data from Zambia’s Crop Forecast Survey, we applied both continuous and categorical methods to quantify the field-to-farm size relationship. Non-parametric Theil–Sen regression revealed a generally linear relationship between log-transformed field and farm …

A Survey On Heterogeneous Computing Using Smartnics And Emerging Data Processing Units, Nathan Tibbetts, Sifat Ibtisum, Satish Puri

Computer Science Faculty Research & Creative Works

The emergence of new, off-path smart network cards (SmartNICs), known generally as Data Processing Units (DPU), has opened a wide range of research opportunities. Of particular interest is the use of these and related devices in tandem with their host's CPU, creating a heterogeneous computing system with new properties and strengths to be explored, capable of accelerating a wide variety of workloads. This survey begins by providing the motivation and relevant background information for this new field, including its origins, a few current hardware offerings, major programming languages and frameworks for using them, and associated challenges. We then review and …

Identifying And Mitigating Api Misuse In Large Language Models, Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John Grundy, Xiaoning Du

Research Collection School Of Computing and Information Systems

API misuse in code generated by large language models (LLMs) presents a serious and growing challenge in software development. While LLMs demonstrate impressive code generation capabilities, their interactions with complex library APIs are often error-prone, potentially leading to software failures and vulnerabilities. In this paper, we conduct a large-scale study of API misuse patterns in LLM-generated code, analyzing both method selection and parameter usage across Python and Java, using three representative LLMs (StarCoder-7B, Qwen2.5-Coder-7B, and GitHub Copilot). Based on extensive manual annotation of 3,209 method-level and 3,492 parameter-level misuses, we identify and categorize four recurring misuse types by building on …

Intramolecular Nonbonding Interactions And Geared Phenyl Twisting In Para-Disubstituted 1,4-Diphenylazines: Electron Correlation Effects On Molecular Conformations And Enantiomerization, Kaidi Yang, Harmeet Bhoday, Rainer Glaser

Chemistry Faculty Research & Creative Works

The results are reported of potential energy surface (PES) analyses of six symmetrical azines Y_p − Ph − RC=N − N=CR − Ph − Y_p, namely, the benzaldehyde azines 1H, 2H, and 8H with R = H and the acetophenone azines 1M, 2M, and 8M with R = Me. The Y substituents Cl (1), Br (2), and Me (8) were studied because sets of polymorphs I (C2-symmetry, azine twist τ ≈ 135 ± 10°, disrotatory phenyl twists ϕi ≠ 0°) and II (Ci-symmetry, τ = 180°, conrotatory ϕi ≠ 0°) were crystallized for these three azines. The …

Deep Learning Approaches For Anti-Money Laundering On Mobile Transactions: Review, Framework, And Directions, Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by governments and organizations. The proliferation of mobile payment platforms and smart IoT devices has significantly complicated AML investigations. As payment networks become more interconnected, there is an increasing need for efficient real-time detection to process large volumes of transaction data on heterogeneous payment systems by different operators such as digital currencies, cryptocurrencies, and account-based payments. Most of these mobile payment networks are supported by connected devices, many of which are considered loT devices in the FinTech …

Invert Your Prompt: Editing-Aware Diffusion Inversion, Yangyang Xu, Wenqi Shao, Yong Du, Haiming Zhu, Yang Zhou, Jiayuan Xie, Ping Luo, Shengfeng He

Research Collection School Of Computing and Information Systems

Recent advancements in text-guided diffusion models have enabled powerful image manipulation capabilities. However, balancing reconstruction fidelity and editability for real images remains a significant challenge. In this work, we introduce Editing Inversion (EditInv), a novel framework that inverts and edits real images for specific editing tasks by optimizing specific prompt embeddings within the extended  space. By leveraging distinct embeddings across different U-Net layers and time steps, EditInv seamlessly integrates inversion and editing through reciprocal optimization, ensuring both high fidelity and precise editability. This hierarchical editing mechanism classifies tasks into structure, appearance, and global edits, optimizing only those embeddings that are …

Cylindformer: Image-To-Point Cloud Registration With Cylindrical Transformer, Jingtao Wang, Hao Tang, Yanpeng Sun, Shengfeng He, Zechao Li

Research Collection School Of Computing and Information Systems

Accurate correspondence extraction between distinctive pixel-wise and point-wise features is critical for image-to-point cloud (I2P) registration. Recent efforts leveraging Transformers for I2P feature representation have demonstrated potential, primarily by first capturing intra-modality global contextual dependencies via self-attention, and then learning cross-modality correlations via cross-attention. The strength of vanilla Transformers lies in modeling cross-modality global feature correlations. However, such mechanisms often struggle with the structural disparity between dense image pixels and sparse 3D points, hindering the establishment of fine-grained correspondences. Moreover, global attention may introduce ambiguity, as interactions with many inconsistent regions of intra-modality may degrade feature distinctiveness. To address these …

Exploring Neural Network Structure Code Reuse In The Open-Source Community For Improving Maintenance, Xiaoning Ren, Yuekun Wang, Chongyang Liu, Yueming Wu, Qiang Hu, Lijun Zhang, Yinxing Xue

Research Collection School Of Computing and Information Systems

Neural networks (NNs) have rapidly advanced, demonstrating exceptional performance across various fields, leading to a surge in open-source NN projects. The complexity and rapid growth of these projects pose significant challenges for maintenance within the open-source community. Given that NN architecture code is the core asset of NN projects, understanding its reuse in the open-source community is essential for effective maintenance, such as reducing redundancy and identifying potential intellectual property violations. While prior studies have examined code reuse in open-source projects, they have two key limitations: They do not specifically address NN structure code, and they rely on manually selected …

Compositions Of Variant Experts For Integrating Short-Term And Long-Term Preferences, Dinh Hieu Do, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

In the online digital realm, recommendation systems are ubiquitous and play a crucial role in enhancing user experience. These systems leverage user preferences to provide personalized recommendations, thereby helping users navigate through the paradox of choice. This work focuses on personalized sequential recommendation, where the system considers not only a user’s immediate, evolving session context, but also their cumulative historical behavior to provide highly relevant and timely recommendations. Through an empirical study conducted on diverse real-world datasets, we have observed and quantified the existence and impact of both short-term (immediate and transient) and long-term (enduring and stable) preferences on users’ …

A Novel Privacy-Preserving User Information Queries Scheme With Functional Policy, Yuhang Lei, Rui Shi, Yang Yang, Chunjie Cao, Huamin Feng

Research Collection School Of Computing and Information Systems

Privacy-preserving information queries enable a requester to obtain only the value f(x) computed over sensitive data x, while preventing disclosure of the underlying records. Existing approaches typically reveal full data, incur high on-chain overhead, or lack fair and verifiable delivery of function outputs. We propose a general-purpose, blockchain-compatible framework that ensures the requester learns only f(x) with no extra leakage and that the provider receives fair payment. The design integrates Adaptor Signatures (AS) for fair exchange and Inner-Product Functional Encryption (IPFE) for fine-grained function extraction. The framework is domain-agnostic and applicable to privacy-sensitive applications such as medical insurance and financial …