Digital Commons Network^™

Connecting Children With Artists Through A Children's Art History Book, Katie Meyer

Theses

This project is a children’s art history book that is set in an art museum. The goal of the book is to help children connect with Contemporary artists and their art. A museum setting is utilized to introduce children to museums and as an appropriate environment for viewing art. The theme of the exhibit that will be presented in the book is titled the “Innovators Exhibit.” This exhibit features six Contemporary artists from different art styles/mediums. The artists come from diverse backgrounds to expose children to a variety of cultures. Thought provoking questions will also be asked throughout the book …

Ms4 Swmpp 2025, National Technology & Engineering Solutions Of Sandia, Llc (Ntess) And Department Of Energy (Doe)

Municipal Separate Storm Sewer System (MS4) Permit

Stormwater discharges from Sandia National Laboratories/New Mexico (SNL/NM) are eligible for coverage under the National Pollutant Discharge Elimination System (NPDES) Municipal Separate Storm Sewer System (MS4) Permit. This Stormwater Management Plan (SWMP) was prepared by National Technology and Engineering Solutions of Sandia (NTESS) for the Department of Energy (DOE) National Nuclear Security Administration (NNSA) Sandia Field Office (SFO), owner of SNL/NM, located in Albuquerque, NM.

Evaluation Of Snap-Ed New Mexico’S Pilot “I Choose H2o” Campaign To Increase Water Consumption, Theresa H. Cruz, Mahtab Soleimani, Camille R. Velarde, Belinda E. Vicuna

Reports & Documents

The “I Choose H2O” campaign is a school-based pilot initiative developed by the University of New Mexico Prevention Research Center with SNAP-Ed NM funding from the USDA. Designed as a three-week social marketing effort, the campaign aimed to increase daily water consumption and reduce intake of sugar-sweetened beverages (SSBs) among middle school students. The campaign engaged students and staff through activities such as water challenges, events, tastings, and prize incentives, while also encouraging broader school-level policy, systems, and environmental (PSE) changes.

This evaluation used direct observation before and after implementation to assess changes in water fountain usage and lunchtime beverage …

Vocabulary Learning Strategies Among Saudi Efl Military Cadets: Patterns And Preferences, Fahad Aldosari

Language, Literacy, and Sociocultural Studies ETDs

This study investigates the vocabulary learning strategies (VLSs) of 126 Saudi military EFL cadets, an underexplored group in second language acquisition research. Using an explanatory sequential mixed-methods design, a questionnaire identified the most and least used strategies, followed by interviews with 10 participants for deeper insights. Findings show cadets frequently use bilingual dictionaries, vocabulary lists, and group work, while cognitive strategies like written repetition and note-taking are underutilized. No significant differences in VLS use were found between Level 1 and Level 2 cadets, suggesting stable strategy preferences. Additionally, emerging strategies such as gamified learning and collaborative storytelling indicate a shift …

Baa Nihiłdah)Zh) - Chronicles Of Diné College Graduates In Pursuit Of Educational Attainment, Kerenthia J. Swan

Teacher Education, Educational Leadership & Policy ETDs

This study investigated the educational, cultural, familial, and tribal factors that influenced the academic success of four Diné (Navajo) students who earned a college degree from the University of New Mexico. Utilizing the Diné Educational Philosophy Paradigm and Indigenous methodology grounded in Diné values and cultural perspectives, this study centered the voices and lived experiences of Diné graduates to gain insight into the supports and obstacles encountered throughout their higher educational journey. The findings highlight the crucial role of family encouragement, traditional teachings, cultural values centered on collective responsibility, and the availability of culturally supportive academic resources. A recurring theme …

O-Mapl: Offline Multi-Agent Preference Learning, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

Inferring reward functions from demonstrations is a key challenge in reinforcement learning (RL), particularly in multi-agent RL (MARL). The large joint state-action spaces and intricate inter-agent interactions in MARL make inferring the joint reward function especially challenging. While prior studies in single-agent settings have explored ways to recover reward functions and expert policies from human preference feedback, such studies in MARL remain limited. Existing methods typically combine two separate stages, supervised reward learning, and standard MARL algorithms, leading to unstable training processes. In this work, we exploit the inherent connection between reward functions and Q functions in cooperative MARL to …

Sparse-To-Dense: A Free Lunch For Lossless Acceleration Of Video Understanding In Llms, Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang, Wei Gao, Qian Liu

Research Collection School Of Computing and Information Systems

Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very long. We observe that during decoding, the attention scores of most tokens in Video-LLMs tend to be sparse and concentrated, with only certain tokens requiring comprehensive full attention. Based on this insight, we introduce Sparse-to-Dense (StD), a novel decoding strategy that integrates two distinct modules: one leveraging sparse top-K attention and the other employing dense full attention. These modules collaborate to accelerate Video-LLMs without loss. …

Breaking The Reasoning Barrier: A Survey On Llm Complex Reasoning Through The Lens Of Self-Evolution, Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin

Research Collection School Of Computing and Information Systems

The release of OpenAI’s O1 and subsequent projects like DeepSeek R1 has significantly advanced research on complex reasoning in LLMs. This paper systematically analyzes existing reasoning studies from the perspective of self-evolution, structured into three components: data evolution, model evolution, and self-evolution. Data evolution explores methods to generate higher-quality reasoning training data. Model evolution focuses on training strategies to boost reasoning capabilities. Self-evolution research autonomous system evolution via iterating cycles of data and model evolution. We further discuss the scaling law of self-evolution and analyze representative O1-like works through this lens. By summarizing advanced methods and outlining future directions, this …

Simulating Before Planning: Constructing Intrinsic User World Model For User-Tailored Dialogue Policy Planning, Tao He, Lizi Liao, Ming Liu, Bing Qin

Research Collection School Of Computing and Information Systems

Recent advancements in dialogue policy planning have focused on optimizing system agent policies to achieve predefined goals, emphasizing strategy design, trajectory acquisition, and training efficiency. However, these approaches often overlook the critical role of user characteristics, which are essential in real-world scenarios like conversational search and recommendation, where interactions must adapt to individual user traits such as personality, preferences, and goals. To address this gap, we conduct a comprehensive study using task-specific user personas to evaluate dialogue policy planning under diverse user behaviors. Our analysis, based on these user profiles, reveals significant shortcomings in existing approaches, underscoring the necessity for …

Rustmap: Towards Project-Scale C-To-Rust Migration Via Program Analysis And Llm, Xuemeng Cai, Jiakun Liu, Xiping Huang, Yijun Yu, Haitao Wu, Chunmiao Li, Bo Wang, Imam Nur Bani Yusuf, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Migrating existing C programs into Rust is increasingly desired, as Rust offers superior memory safety while maintaining C’s high performance. Existing automated translation tools, such as C2Rust, may rely too much on syntactic, template-based translation and generate unsafe Rust code that is hard for human developers to read, maintain, or even compile. More semantic-aware translation that produces safer, idiomatic, and runnable Rust code is much needed. This paper introduces a novel dependency-guided and large language model (LLM)-based C-to-Rust translation approach, RustMap, based on three key ideas: (1) Utilize LLM’s capabilities to produce idiomatic Rust code from given small pieces of …

Retrieval Augmented Generation For Dynamic Graph Modeling, Yuxia Wu, Lizi Liao, Yuan Fang

Research Collection School Of Computing and Information Systems

Modeling dynamic graphs, such as those found in social networks, recommendation systems, and e-commerce platforms, is crucial for capturing evolving relationships and delivering relevant insights over time. Traditional approaches primarily rely on graph neural networks with temporal components or sequence generation models, which often focus narrowly on the historical context of target nodes. This limitation restricts the ability to adapt to new and emerging patterns in dynamic graphs. To address this challenge, we propose a novel framework, Retrieval-Augmented Generation for Dy namic Graph modeling (RAG4DyG ), which enhances dynamic graph predictions by incorporating contextually and temporally relevant examples from broader …

Robust Relevance Feedback For Interactive Known-Item Video Search, Zhixin Ma, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Known-item search (KIS) involves only a single search target, making relevance feedback-typically a powerful technique for efficiently identifying multiple positive examples to infer user intent-inapplicable. PicHunter addresses this issue by asking users to select the top-k most similar examples to the unique search target from a displayed set. Under ideal conditions, when the user's perception aligns closely with the machine's perception of similarity, consistent and precise judgments can elevate the target to the top position within a few iterations. However, in practical scenarios, expecting users to provide consistent judgments is often unrealistic, especially when the underlying embedding features used for …

Under The Legal Lens: Navigating Psychological Safety And Conflict For Black Women In Legal Support Roles, Chanel M. Bradden

Electronic Theses and Dissertations

The intersectional challenges of Black women in legal support roles are an overlooked phenomenon in organizational research. Despite diversity efforts in the legal profession, Black women face challenges due to gender, race, and professional status that impact their career advancement, as well as their mental and psychological well-being. As a result of experiencing the effects of racialized workplace dynamics and destructive leadership behaviors, Black women in legal support roles find resilience through self-protection strategies while working through the effects of intersecting forms of oppression in legal workspaces. This study addressed the lack of knowledge of the lived experiences of Black …

Germination Time: Impact On Nutritional, Thermal, And Paste Properties Of Red Rice, Thauana Heberie, Lucas Avila Do Nascimento, Ya-Jane Wang, Rosana Colussi, Jaqueline Ferreira De Souza, Andre Ricardo Fajardo, Marcia Foster Mesko

Food Science Faculty Publications and Presentations

BACKGROUNDThe study investigates how varying germination times affect the nutritional, thermal, and pasting properties of red rice. Germination was conducted over 32 h, with aliquots collected every 2 h starting from 18 h for property evaluation.RESULTSAt all evaluated germination times, the red rice samples exhibited low to intermediate amylose levels, while resistant starch content remained relatively constant (approximately 15-20%). Structural changes in the starch were observed: the peak viscosity decreased, maximum gelatinization of the granules occurred at 76 degrees C, and spectroscopic bands characteristic of this polysaccharide were detected at 3400 cm-1 (O-H stretching) and within the 1150-1000 cm-1 range …

Dynamic Few-Shot Prompting For Clinical Note Section Classification Using Lightweight, Open-Source Large Language Models, Kurt Miller, Steven Bedrick, Qiuhao Lu, Andrew Wen, William Hersh, Kirk Roberts, Hongfang Liu

Faculty, Staff and Student Publications

Objective: Unlocking clinical information embedded in clinical notes has been hindered to a significant degree by domain-specific and context-sensitive language. Identification of note sections and structural document elements has been shown to improve information extraction and dependent downstream clinical natural language processing (NLP) tasks and applications. This study investigates the viability of a dynamic example selection prompting method to section classification using lightweight, open-source large language models (LLMs) as a practical solution for real-world healthcare clinical NLP systems.

Materials and methods: We develop a dynamic few-shot prompting approach to classifying sections where section samples are first embedded using a transformer-based …

Triangular Overconorm With Mcdm Methodology For Association Between Speaking Proficiency And Self-Assurance In English Language And Literature, Censhu Ouyang, Boqi Hou

Neutrosophic Sets and Systems

No abstract provided.

Toward Better Physical Education Outcomes Assessing The Effectiveness Of Blended Learning In Middle School Physical Education Using Treesoft Set, Yuanyuan Qi

Neutrosophic Sets and Systems

No abstract provided.

Painting Effects Evaluation Based On Artificial Intelligence Technology Using The Triangular Overnorm, Honggang Zong

Neutrosophic Sets and Systems

No abstract provided.

Evaluating Sustainability In The Protection Of Intangible Cultural Heritage Through Sports Practices Under The Triangular Underconorm, Junjie Lv, Shaokun Ma

Neutrosophic Sets and Systems

No abstract provided.

Forestsoft Set For Mechanical Automation Production Control Systems Analysis Based On An Intelligent Manufacturing Environment, Li Song, Jianyong Liu, Han Ding, Wenhui Zhang

Neutrosophic Sets and Systems

No abstract provided.

Hypersoft Set And Mcdm Methodology For Impact Of A Volleyball Program On Undergraduate Students' Physical Fitness And Health Elements, Chenming Zhang, Lejia Zhang

Neutrosophic Sets and Systems

No abstract provided.

Harmonizing Aesthetics And Sustainability Through The Evaluation Of Environmental Art Design In Green Architecture Using The Triangular Undernorm, Mingliang Zhou, Peng Zhou

Neutrosophic Sets and Systems

No abstract provided.

Evaluation Of Intrusion Detection Systems In Cyber Security Using Fuzzy Offlogic And Mcdm Approach, Zhengrui Yang

Neutrosophic Sets and Systems

No abstract provided.

Evaluation Of College Students' Innovation And Entrepreneurship Abilities In The New Media Environment Using Tree Soft Set And Neutrosophic Modeling, Xiang Lou

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Divisor Cordial Labeling Graphs, Tephilla Joice P, A. Rajkumar

Neutrosophic Sets and Systems

No abstract provided.

Assessment Of Artificial Intelligence-Driven Fitness And Health Management Programs For Adolescents Using The Superhypersoft Set Framework, Di Wu, Ali Khatibi, Jacquline Tham

Neutrosophic Sets and Systems

No abstract provided.

An Application Of Site Selection For Solid Waste Management System Using Neutrosophic Set, A. Savitha Mary, D. Sarukasan, C. Kayelvizhi, L. Jethruth Emelda Mary, F. Josephine Daisy, K. Pitchaimani

Neutrosophic Sets and Systems

No abstract provided.

A Hybrid Magdm Approach Of Neutrosophic Topsis Linmap Method For Developing Enterprise Selection Criteria, G. Tamilarasi, S. Paulraj, M.Sivanandha Saraswathy, Thanuja T S

Neutrosophic Sets and Systems

No abstract provided.

Integrating Treesoft And Hypersoft Paradigms Into Urban Elderly Care Evaluation: A Comprehensive N-Superhypergraph Approach, Yan Cao

Neutrosophic Sets and Systems

No abstract provided.

A Recursive Indetermtree Soft Set (Rit-Soft Set) For Dynamic And Uncertain Performance Evaluation In College Competitive Sports, Hai Yang, Cuijuan Lin

Neutrosophic Sets and Systems

No abstract provided.