Digital Commons Network^™

The Development Of A Children’S Book Designed To Use Bibliotherapy And Mindfulness Skills To Promote Interoception In Young Children With Insecure Attachment As A Result Of Adverse Childhood Experiences, Zenaida Agramonte

University of the Pacific Theses and Dissertations

One third of children in the United States have experienced trauma known in the literature as Adverse Childhood Experiences (ACEs). The long-term outcomes of ACEs have a higher likelihood of reducing interoceptive awareness—the ability to sense internal body signals like heart rate, hunger, pain, and emotions. Research suggests that interventions, such as mindfulness and attachment therapies are useful for increasing interoceptive awareness, regulating emotions, and fostering secure attachment in adults. However, apart from attachment, interventions are lacking for young children. Bibliotherapy is one such intervention designed for young children which potentially fosters secure attachment between child and adult storytellers and …

Engaging The Plus-Size Community Through Social Media And Public Relations, Esperanza Chavez

University of the Pacific Theses and Dissertations

This thesis explores which platform, TikTok or Instagram, best supports engagement andcommunity building for the plus-size audience. Grounded in theories by Goffman, Berger & Luckmann, and David Meerman Scott’s 85-10-5 Rule, the study combines strategic PR methods with digital media tools to elevate plus-size voices. The campaign included 30 Instagram posts, 35 TikToks, street interviews, and a podcast series, all designed and executed for this project. Engagement was measured through likes, comments, shares, saves, follower growth, and qualitative audience feedback.

How The Least Restrictive Environment Mandate Is Interpreted By California Special Education Local Plan Agency Directors, Robin Suttle

University of the Pacific Theses and Dissertations

This qualitative case study examines how Special Education Local Plan Agency (SELPA) directors in California interpret and communicate the Least Restrictive Environment (LRE) mandate under the Individuals with Disabilities Education Act (IDEA). The study explores how SELPA directors understand LRE and how this understanding is conveyed to district-level administrators. Data were collected through interviews and document review across selected SELPAs and analyzed thematically using the Boundary Spanning framework. Findings show that SELPA directors view LRE as both a legal obligation and a collaborative, context-dependent process. They act as intermediaries, translating federal and state mandates into locally usable guidance while balancing …

Narrative Inquiry Into The Socio Economic Integration And Resilience Of The Mien Community In The United States, Teresa M. Saefong

University of the Pacific Theses and Dissertations

This qualitative study examined the socioeconomic integration of the Mien community, a refugee minority sometimes overlooked in research and policy discussions, in the United States. Five participants shared their experiences through in-depth interviews and community observations. The study utilizes narrative inquiry and is informed by community cultural wealth and resilience theory. The analysis incorporated restorying, comparative, and performative approaches. The findings suggested that Mien integration depended on intergenerational storytelling, clan-based networks, multilingual skills, and the adaption of traditional practices within U.S. institutions. Community organizations were important for keeping culture alive and filling in the gaps in institutional services by giving …

California, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In general, California may be the most hospitable state to public sector collective bargaining. The basic rules are far more favorable to placing matters within the scope of mandatory subjects than any other state. There are, however, serious differences in how police and non-police bargaining is treated.

• Choice of Forum for Police. Under California’s public sector collective bargaining law, most unions and employers must resolve their conflicts about the scope of bargaining through California’s Public Employment Relations Board (PERB). For police only, however, the parties can also bring the disputes to court.
• Los Angeles Labor Relations. The scope …

Massachusetts, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In Massachusetts there are several areas of difference in the treatment of police and non-police collective bargaining. They include the following:

• Interest Arbitration. In Massachusetts police and fire bargaining units are entitled to interest arbitration to resolve bargaining disputes. Other employees have access to a less powerful non-binding fact finding process. All public employees are prohibited from striking.
• Transparency of Rules and Agency Processes. The rules that govern police impasse procedures are hidden in a law that was passed in 1987 and never codified, creating a “if you know, you know” process for police.
• Use of Impact Bargaining …

Florida, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In general, Florida Public Employment Relations Commission (PERC) decisions and statute demonstrate a dramatic divergence between police and non-police mandatory subjects of bargaining, particularly in the area of discipline. In addition,

• Duty to Bargain Discipline More Expansive for Police. The duty to bargain disciplinary rules in the non-police setting is much more expansive in the police setting.
• Duty to Bargain Work Reassignment More Expansive For Police. The reassignment rules are dramatically different in the police and non-police context.
• Duty to Bargain Change of Duties Broader for Police. There are few cases about changes of duties, but those that exist are …

Missouri, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

Missouri law allows for both police and non-police collective bargaining, but before 2018 there were no agency mechanisms to adjudicate a failure to bargain.

In 2018, however, the state passed a statute dramatically constraining public sector unions, but the law exempted police. The Missouri Supreme Court found that exclusion to be an equal protection violation.

Pennsylvania, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In Pennsylvania there are several areas of difference in the treatment of police and non-police collective bargaining. They include the following:

• Police Units are Governed by a Separate Statute. In Pennsylvania an earlier enacted statute governs police collective bargaining, and the Pennsylvania Supreme Court’s decision requires that statute to be read in pari materia with the Pennsylvania Public Employee Collective Bargaining Act, allowing police units to benefit from both laws.
• Police Have Interest Arbitration. Police units in Pennsylvania have access to interest arbitration to resolve impasses, most other units do not.
• Board Discretion and Lack of Transparency. …

Hawai’I, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In general, Hawai’i’s statute contains a broad management rights provision that appears to at least make permissive bargaining over a range of topics including discipline, duties, and any other decisions to “maintain efficiency.” Hawai’i’s Labor Relations Board issues a very small number of decisions and an even smaller number of cases interpreting the requirement to bargain over mandatory subjects. The small number of decisions that the Hawai’i Labor Relations Board (HLRB) issues tend to be lengthy, poorly written and reasoned, and difficult to understand. The Board itself is comprised of three, full-time members, each of whom is paid over $100,000 …

Connecticut, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In general, the Connecticut commission is hostile to expansive definitions of mandatory subjects of bargaining, sometimes issuing decisions that are results-driven and an expression of a preference for the substance of the employer’s decision. There are a couple of distinctions between police and other units:

• The Commission is more likely to weigh safety on the side of bargaining for police than others.
• The Commission treats the requirement to bargain surveillance-based decision more expansively for non-police units than police-units.

The Commission is more likely to find subcontracting of police work to an outside agency to be a mandatory subject of bargaining.

Iowa, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

In general, the differences between police and non-police units are dramatic. This is mostly due to statutory changes in 2017, making the scope of bargaining much more constrained for non-police bargaining units. Those amendments also constrained the scope of an interest arbitrator’s decision, again excluding police units. There are not many Board decisions in Iowa, and even fewer after 2017, but in the cases that exist, there are differences even before the statutory amendment.

Illinois, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

As compared with other states, the Illinois Labor Relations Board (“ILRB” or “Board) is unusually protective of the right to bargain. The Board is more protective still of the ability of police unions to bargain over employer decisions. In the last several years in cases involving the Chicago Police Department, the Board has moderated somewhat by, in key cases, refusing to issue a decision but rather holding the matter “in abeyance.” A few highlights follow:

• Only Police Have the Right to Interest Arbitration. The Illinois Labor Relations Act requires police bargaining units to resolve contractual impasses through interest arbitration. …

Delaware, Elizabeth Ford

Thin Blue Advantage: Police Exceptionalism and the Two-Tier System of Public Sector Collective Bargaining

Delaware law governing police and non-police bargaining is separated into two largely identical statutory schemes. Both statutes provide for interest arbitration and adopt “baseball arbitration” to expedite the arbitration process. Keeping with the goal of expedient dispute resolution, the state’s ULP process seems designed to facilitate settlement.

As a result of this ULP structure, there are few cases from Delaware’s PERB compared to other states. This may have to do with the fact that the myriad preliminary stages of ULP proceedings serve as “off-ramps” to encourage settlement and that the agency’s Executive Director (E.D.) has more power than non-Delaware analogs. …

Carbon Sequestration Through Conservation Tillage In Sandy Soils Of Arid And Semi-Arid Climates: A Meta-Analysis, Samantha Lynn Colunga, Leila Wahab, Alejandro Fierro-Cabo, Engil Isadora Pujol Pereira

School of Earth, Environmental, & Marine Sciences Faculty Publications

Highlights

• Under CST, SOC increased by 12.74 ± 1.46 % in sandy soils with 5 of the 6 practices contributing to this rise.
• SOC increased up to 15 years post-CST conversion, but more research is needed to assess long-term effects.
• SOC increased by 13% in soils with over 56% sand content under CST.
• SOC increased by 15% in the 0-20 cm depth under CST, with no significant increase at greater depths.
• SOC increased under CST when nitrogen was applied at rates up to 100 kg N ha⁻¹.

Abstract

This meta-analysis assessed soil organic carbon (SOC) percent changes in sandy soils, …

Assessing Inter-Organizational Collaboration Within The Transboundary Network Governing The Conservation Of Southern Resident Killer Whales, Dane Pedersen, Owen Temby, Antonia Sohns, Evelyn Roozee, Gordon M. Hickey

School of Earth, Environmental, & Marine Sciences Faculty Publications

The Southern Resident Killer Whale (SRKW) is an endangered and charismatic species whose home range spans the Salish Sea, an ecosystem that extends across the Canada-US border. Conserving and recovering the SRKW represents a high-profile transboundary governance challenge that depends heavily on collaboration between a wide range of organizations. To better understand the factors affecting transboundary SRKW governance in the Salish Sea, this study applies a multi-dimensional trust, control, perceived risk framework to assess the inter-organizational architecture supporting collaboration. The analysis is based on key informant interviews (n=32) and surveys (n=35) conducted with policy actors working for different organizations involved …

Lrtm Left-Right Transition Matrices For Molecular Interaction Prediction, Kaitlin Zheng, Guihua Duan, Mengyun Yang, Wei Wu, Yao-Hang Li, Jianxin Wang

Computer Science Faculty Publications

Molecular interactions are central to most biological processes. The discovery and identification of potential associations between molecules can provide insights into biological exploration, diagnostic and therapeutic interventions, and drug development. So far many relevant computational methods have been proposed, but most of them are usually limited to specific domains and rely on complex preprocessing procedures, which restricts the models’ ability to be applied to other tasks. Therefore, it remains a challenge to explore a generalized approach to accurately predicting potential associations. In this study, We propose Left-Right Transition Matrices (LRTM) for molecular interaction prediction. From the perspective on the diffusion …

Vaim-Cff: A Variational Autoencoder Inverse Mapper Solution To Compton Form Factor Extraction From Deeply Virtual Compton Scattering, Manal Almaeen, Tareq Alghamdi, Brandon Kriesten, Douglas Adams, Yaohang Li, Huey-Wen Lin, Simonetta Liuti

Computer Science Faculty Publications

We develop a new methodology for extracting Compton form factors (CFFs) from deeply virtual exclusive reactions such as the unpolarized DVCS cross section using a specialized inverse problem solver, a variational autoencoder inverse mapper (VAIM). The VAIM-CFF framework not only allows us access to a fitted solution set possibly containing multiple solutions in the extraction of all 8 CFFs from a single cross section measurement, but also accesses the lost information contained in the forward mapping from CFFs to cross section. We investigate various assumptions and their effects on the predicted CFFs such as cross section organization, number of extracted …

Cath-Ddg: Towards Robust Mutation Effect Prediction On Protein-Protein Interactions Out Of Cath Homologous Superfamily, Guanglei Yu, Xuehua Bi, Teng Ma, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Protein-protein interactions (PPIs) are fundamental aspects in understanding biological processes. Accurately predicting the effects of mutations on PPIs remains a critical requirement for drug design and disease mechanistic studies. Recently, deep learning models using protein 3D structures have become predominant for predicting mutation effects. However, significant challenges remain in practical applications, in part due to the considerable disparity in generalization capabilities between easy and hard mutations. Specifically, a hard mutation is defined as one with its maximum TM-score < 0.6 when compared to the training set. Additionally, compared to physics-based approaches, deep learning models may overestimate performance due to potential data leakage.

Results: We propose new training/test splits that mitigate data leakage according to the CATH homologous superfamily. Under the constraints of physical …

Optiselect And Enshap: Integrating Machine Learning And Game Theory For Ischemic Stroke Prediction, Pritam Chakraborty, Anjan Bandyopadhyay, Sricheta Parul, Sujata Swain, Partha Sarathy Banerjee, Tapas Si, Hong Qin, Saurav Mallik

Computer Science Faculty Publications

Stroke analysis using game theory and machine learning techniques. The study investigates the use of the Shapley value in predictive ischemic brain stroke analysis. Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. For each sample, the top 3, 4, and 5 features are evaluated and selected to evaluate their performance. The Shapley value method was used to rank the models using their best four features based on their predictive capabilities. As a result, better-performing …

Ai For Nuclear Physics: The Exclaim Project, S. Liuti, D. Adams, M. Boër, G. W. Chern, M. Cuic, M. Engelhardt, G. R. Goldstein, B. Kriesten, Y. Li, H. W. Lin, M. Sievert, D. Sivers

Computer Science Faculty Publications

An overview of the recent activity of the newly funded EXCLusives with AI and Machine learning (EXCLAIM) collaboration is presented. The main goal of the collaboration is to develop a framework to implement AI and machine learning techniques in problems emerging from the phenomenology of high energy exclusive scattering processes from nucleons and nuclei, maximizing the information that can be extracted from various sets of experimental data, while implementing theoretical constraints from lattice QCD. A specific perspective embraced by EXCLAIM is to use the methods of theoretical physics to understand the working of ML, beyond its standardized applications to physics …

Sting: A Stealthy Backdoor Attack On Gnn-Based Malicious Domain Detection Via Dns Perturbations, Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, Nhathai Phan, Ahmad Sawalmeh

Computer Science Faculty Publications

Detecting malicious Internet domains is essential for safeguarding against various online threats. The current approach to detecting malicious domains (MDD) employs a graph neural network (GNN) method, which uses DNS logs to construct heterogeneous graphs for determining the maliciousness of unknown domains. Despite its success, this method is vulnerable to data poisoning attacks where an adversary can manipulate specific graph nodes to implant a backdoor into the model during training. To showcase the vulnerability, we propose a stealthy trigger injection attack on node features and graph structure in MDD, dubbed (STING). The attacker carefully manipulates selected features and edges of …

From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

Effective Pii Extraction From Llms Through Augmented Few-Shot Learning, Shuai Cheng, Shu Meng, Haitao Xu, Haoran Zhang, Shuai Hao, Chuan Yue, Wenrui Ma, Meng Han, Fang Zhang, Zhao Li

Computer Science Faculty Publications

Large Language Models (LLMs) exhibit strong natural language processing capabilities but also pose significant privacy risks, particularly regarding the leakage of Personally Identifiable Information (PII) embedded in their training data. Existing PII extraction methods suffer from the limitations of low success rates or impracticality for large-scale PII extraction. In this study, we propose a novel PII extraction approach based on enhanced few-shot learning techniques, which achieves efficient and cost-effective PII retrieval without relying on fine-tuning or jailbreaking. We evaluated our approach on both open-source and closed-source LLMs. The experimental results demonstrate that, for non-targeted PII extraction, the attack success rate …

Delivery Of Medical Supplies To Remote Locations Via Unmanned Aerial Vehicles: Approaches, Challenges, And Solutions, Meshari Aljohani, Ravi Mukkamala, Stephanie Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming more important in improving healthcare logistics, in particular due to their cost effectiveness, minimized risk, and versatile operational capabilities. This study explores the deployment of autonomous UAVs to deliver medical supplies to remote areas. Advances in ledger technology, smart contracts, and machine learning have transformed tasks previously managed by human teams or manually controlled UAVs into fully autonomous missions. We present a comprehensive analysis of the challenges and initial solutions vital for the effective use of autonomous UAVs in the delivery of medical supplies. In addition, we propose a machine-learning model to optimize UAV …

Exploring The Educational Gap Of Virginia English Language Learners: Challenges And Opportunities For Academic Success, Amanda Purcell, Sochitl Rodriguez Kauffman

UROP Posters

English Language Learners (ELLs) in the state of Virginia have significantly lower scores in the Standards of Learning (SOL) assessment exam than those of their English-speaking peers. The SOL measures students’ mastery of knowledge and skills taught in the classroom, and over the last decade, passing rates of the assessment’s core subjects amongst ELLs have continued to decrease and remain relatively low. In the 2023-2024 academic year, the average passing rate for ELLs who took the Writing SOL was only 26%, with Science being not much higher at 29%, and Reading at 33%. For the non-ELL student body, average rates …

Ocean Acidification Mitigation: Potential Expansion Of Sav Restoration Strategy In The Chesapeake Bay, Cree N. Taylor

UROP Posters

Zostera marina is a species of marine macrophyte that has been largely prioritized in past submerged aquatic vegetation (SAV) restoration initiatives within the Chesapeake Bay because of its 1) previous abundance, 2) demonstrated carbon burial abilities, and 3) observed ability for meadows of Z. marina to ameliorate low pH conditions. Due to the temperature variability and poor water quality associated with anthropogenic disturbances in the Chesapeake Bay, Z. Marina beds have experienced several die-off events with limited capacity for regrowth. This systematic review explored the possible benefits of focusing future SAV recovery initiatives on ensuring a diverse variety of SAV …

Affordable And Sustainable: Innovating Filament Extrusion For Recycled Materials, Turab S. Rizvi

UROP Posters

The chemical stability, toxicity and non-biodegradability of the polymers pose a significant environmental threat. Addressing end-of-life treatment sustainability is crucial for mitigating these issues. The customized Lyman filament extruder in the Advanced Magnetic Materials Processing Laboratory represents an innovative approach to advancing sustainability in renewable energy production and CO₂ mitigation. Redesigning the thermal system and screw operation will tackle key challenges, including precise temperature control, consistent material flow to handle diverse recycled materials. Integrating an advanced thermal regulation system will reduce the energy consumption by maintaining optimal thermal conditions, thereby lowering the CO₂ footprint of the recycling process. The optimized …

The Romanticization Of Human-Vampire Relationships: How 'Twilight' And 'The Vampire Diaries' May Prime Young Women To Accept Dating Violence, Natalie M. Bowen

UROP Posters

The first literary vampire can be traced back to 18th century Germany, with Johann Wolfgang von Goethe’s poem “Die Braut von Korinth,” but the stereotypical features of a vampire are traditionally accredited to Bram Stoker’s Dracula. Modern vampires, such as Edward Cullen and Stefan Salvatore of the Twilight and The Vampire Diaries series respectively, have managed to win the hearts of teenage girls all across America with their sex appeal and charismatic nature. According to Bandura’s Social Cognitive Theory, individuals learn new behaviors by modeling and imitating the actions of those around them. This comprehensive literature review investigates the connection …

Using Test-Crosses To Investigate Mendelian Inheritance Patterns In Brassica Rapa, Jacob Batson, Amy Nguyen, Ethan Do

UROP Posters

The Wisconsin Fast Plants, Brassica rapa, are an ideal model organism for exploring patterns of inheritance and phenotype expression due to their rapid life cycle and observable traits. In this experiment, we examined the controlled crosses between the two phenotypes, anthocyanin-producing (ACN) and anthocyaninless (ANL), to observe allele inheritance. We observed phenotypes in the F1 generation to see if it followed the Mendelian inheritance patterns of homozygous dominant. By planting and watering the plants for two weeks, we tracked their growth and traits of ACN and ANL phenotypes. We used honey bees to cross pollinate the parent ACN and ANL …