Digital Commons Network^™

Exploring The Interplay Between Testosterone Levels And Gender Role Attitudes, Arial Bloshinsky

Graduate Theses and Dissertations

Traditional gender role attitudes align men with resource management and women with nurturing. The Challenge Hypothesis proposes that resource management is associated with higher testosterone levels, whereas nurturing is associated with lower testosterone levels. Therefore, traditional gender role attitudes may be associated with people’s testosterone levels. Furthermore, during the transition to parenthood, traditional gender role attitudes may become particularly salient, as shifting biological, social, and cultural roles during this transition make these attitudes an integral part of daily life. In this longitudinal study of expectant couples, participants completed a baseline survey and baseline session, during which they completed measures and …

Online Self-Directed Learning About Covid By Custodial Fathers In The U.S., Susan Bradley

Graduate Theses and Dissertations

The COVID pandemic was a time of unprecedented need for self-directed learning due to a conflagration of factors. These included the rapid global spread of the virus, leading to over 1.8 million deaths worldwide in 2020 alone according to the World Health Organization. In addition, traditional authorities such as the World Health Organization and U.S. Centers for Disease Control, along with individual health practitioners and institutions, failed to calm the panic due to a lack of agreement about recommended protections and treatments.

Simultaneously, due to COVID’s strain on the healthcare system, people were urged to refrain from visiting their doctors …

Carbon Dioxide Dynamics In The Carbonate Critical Zone, Savoy Experimental Watershed, Arkansas, Usa, Michael Darvin Jones

Graduate Theses and Dissertations

The dynamics of carbon dioxide (CO₂) within the Earth’s critical zone (CZ) are essential for driving spatial and temporal variations of carbonate dissolution and precipitation, which are fundamental to subsurface porosity and permeability development. However, there is still a significant knowledge gap regarding the patterns of CO₂ transport and production within the carbonate critical zone (CCZ). In this study, we investigated these dynamics within a mantled karst terrain at the Savoy Experimental Watershed (SEW) in Northwest Arkansas.

Previous monitoring of partial pressure of CO₂ (PCO₂) and dissolution rates at karst springs in …

Frogs On A Plain: Spatial Ecology Of Crawfish Frogs In Arkansas’ Remnant Prairies, Elliot T. Lassiter

Graduate Theses and Dissertations

The prairie peninsula was an expansive and important habitat that covered much of midwestern North America, from Canada to Arkansas, USA. But the prairie peninsula has shrunk by as much as 99% since 1830, and therefore, land acquisition and public/private partnerships are critical for the preservation of prairies and their associated species. In Arkansas, one species that benefits from protected prairies is the Crawfish Frog (Lithobates areolatus), which is currently declining precipitously throughout its range. Adult Crawfish Frogs spend most of their lives in terrestrial refugia (crayfish burrows), making them highly vulnerable to habitat loss and fragmentation, thereby …

Influence Of Hydrologic And Anthropogenic Disturbance On Stream Populations And Communities, Sarah Frances Sorensen

Graduate Theses and Dissertations

Disturbances occur when an external force modifies a habitat, destroying living space, removing food resources, or altering or destroying habitat structure. In lotic systems, a primary source of disturbance is hydrologic disturbance, including drought and flood. Hydrologic disturbances lead to increased mortality rates and dispersal out of disturbed habitats, causing population sizes to decrease and changes to community structures. More research is needed on how disturbances impact stream species and communities, as disturbances are predicted to become more intense with climate change. This dissertation aims to understand how disturbance influences streams at both the population and community level, through a …

The Role Of Epigenetic Aberrations In The Cold Tumor Phenotype And Inflammatory Signaling In High-Risk Neuroblastoma, Pamela Morgan Watson

Alternative Theses and Dissertations (AETDs)

Neuroblastoma (NB) is a highly aggressive, heterogeneous disease that arises from the sympathetic nervous system (SNS) and originates from neural crest cells (NCCs) (1). NB is the most common extracranial cancer in pediatric accounts for 15% of pediatric cancer deaths (2). This high mortality rate is the result of the metastatic, immune evasive, and treatment resistant characteristics of the disease (3). It has been proposed that NB arises from blocks in differentiation during development, resulting in a mixture of two distinct cell types within the tumor: mesenchymal and adrenergic (Figure 1.1) (4,5). The adrenergic cell type is more differentiated, and …

Behaviorism Literature Review On School Suspension And The School To Prison Pipeline, Joelle Tidwell

Curriculum and Instruction Undergraduate Honors Theses

An analysis of the current body of research about the school to prison pipeline demonstrates that exclusionary practices are indicators for which students will encounter the criminal justice system in their youth and adulthood. Moreover, exclusionary practices are associated with a variety of other negative outcomes such as poor mental health, poor physical health, and lower wages. This research demonstrates the need for exclusionary practices to be replaced with school-wide behavioral supports that will provide intervention and strategies for students that help keep them in the classroom instead of simply punishing them with isolation.

Investigation Of Conductive Die-Top Thermal Capacitors During Short Circuit Operation Of Silicon Carbide Devices, Youssef Abotaleb

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Silicon carbide (SiC) power devices have garnered significant attention in recent years due to their superior thermal and electrical properties compared to traditional silicon devices. However, SiC power devices suffer from severe reliability issues arising from their mechanical properties. This is because the Young's modulus of SiC is about three times larger than that of silicon, which correspondingly raises the mechanical stresses acting on the bonding structure, often leading to device failure under power shock events.

Traditional packaging materials and designs tend to constrain SiC performance, as hot-spot temperature resulting from a power shock is one of the key factors …

Unm Hslic Organizational Chart 2024, David Lucero

HSLIC Organizational Charts

No abstract provided.

Proceedings Of The 2024 Child Language Acquisition Symposium For Indigenous Communities, Tamera C. Yazzie, Bethany G. Lycan, Alec J. Goldberg, Kayleigh L. Russell, Melvatha R. Chee

Indigenous Child Language Research Center

The proceedings of the inaugural Child Language Acquisition Symposium for Indigenous Communities, which took place at the University of New Mexico on May 17-18, 2024.

2024 Indigenous Child Language Research Center Handbook, Tamera C. Yazzie, Bethany G. Lycan, Ryan D. Smith, Cormac League, Melvatha R. Chee

Indigenous Child Language Research Center

This handbook is continuously being developed by the Indigenous Child Language Research Center at UNM to provide Indigenous communities with a description of our organization and our research methodologies to aid in their own child language research endeavors.

Identifying Challenges Faced By Small And Medium Enterprises (Smes) In The Middle East And North Africa (Mena) Region Through Total Quality Management, Mohamad Atef

Theses and Dissertations

Recently, Small and Medium Enterprises (SMEs) have become recognized as an important driver of global economic growth and innovation. This phenomenon is particularly evident in the MENA region, where small and medium-sized enterprises (SMEs) make a significant contribution to the businesses. SMEs offer significant benefits in terms of job creation, revenue generation, and fostering economic diversity. Although SMEs have a vital contribution in the economy of the MENA region, SMEs face many challenges that hinder their development and long-term viability. Focusing on these challenges is very important for fostering a vibrant and resilient economic environment. The objective of this thesis …

A Full-History Network Dataset For Btc Asset Decentralization Profiling, Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu

Research Collection School Of Computing and Information Systems

Since its advent in 2009, Bitcoin (BTC) has garnered increasing attention from both academia and industry. However, due to the massive transaction volume, no systematic study has quantitatively measured the asset decentralization degree specifically from a network perspective.In this paper, by conducting a thorough analysis of the BTC transaction network, we first address the significant gap in the availability of full-history BTC graph and network property dataset, which spans over 15 years from the genesis block (1st March, 2009) to the 845651-th block (29, May 2024). We then present the first systematic investigation to profile BTC's asset decentralization and design …

Agchain: A Blockchain-Based Gateway For Trustworthy App Delegation From Mobile App Markets, Mengjie Chen, Xiao Yi, Daoyuan Wu, Jianliang Xu, Yingjiu Li, Debin Gao

Research Collection School Of Computing and Information Systems

The popularity of smartphones has led to the growth of mobile app markets, creating a need for enhanced transparency, global access, and secure downloading. This paper introduces AGChain, a blockchain-based gateway that enables trustworthy app delegation within existing markets. AGChain ensures that markets can continue providing services while users benefit from permanent, distributed, and secure app delegation. During its development, we address two key challenges: significantly reducing smart contract gas costs and enabling fully distributed IPFS-based file storage. Additionally, we tackle three system issues related to security and sustainability. We have implemented a prototype of AGChain on Ethereum and Polygon …

Reinforcement Learning Based Online Request Scheduling Framework For Workload-Adaptive Edge Deep Learning Inference, Xinrui Tan, Hongjia Li, Xiaofei Xie, Lu Guo, Nirwan Ansari, Xueqing Huang, Liming Wang, Zhen Xu, Yang Liu

Research Collection School Of Computing and Information Systems

The recent advances of deep learning in various mobile and Internet-of-Things applications, coupled with the emergence of edge computing, have led to a strong trend of performing deep learning inference on the edge servers located physically close to the end devices. This trend presents the challenge of how to meet the quality-of-service requirements of inference tasks at the resource-constrained network edge, especially under variable or even bursty inference workloads. Solutions to this challenge have not yet been reported in the related literature. In the present paper, we tackle this challenge by means of workload-adaptive inference request scheduling: in different workload …

Unsupervised Modality Adaptation With Text-To-Image Diffusion Models For Semantic Segmentation, Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou

Research Collection School Of Computing and Information Systems

Despite their success, unsupervised domain adaptation methods for semantic segmentation primarily focus on adaptation between image domains and do not utilize other abundant visual modalities like depth, infrared and event. This limitation hinders their performance and restricts their application in real-world multimodal scenarios. To address this issue, we propose Modality Adaptation with text-toimage Diffusion Models (MADM) for semantic segmentation task which utilizes text-to-image diffusion models pre-trained on extensive image-text pairs to enhance the model’s cross-modality capabilities. Specifically, MADM comprises two key complementary components to tackle major challenges. First, due to the large modality gap, using one modal data to generate …

4-Bit Shampoo For Memory-Efficient Network Training, Sike Wang, Pan Zhou, Jia Li, Hua Huang

Research Collection School Of Computing and Information Systems

Second-order optimizers, maintaining a matrix termed a preconditioner, are superior to first-order optimizers in both theory and practice. The states forming the preconditioner and its inverse root restrict the maximum size of models trained by second-order optimizers. To address this, compressing 32-bit optimizer states to lower bitwidths has shown promise in reducing memory usage. However, current approaches only pertain to first-order optimizers. In this paper, we propose the first 4-bit second-order optimizers, exemplified by 4-bit Shampoo, maintaining performance similar to that of 32-bit ones. We show that quantizing the eigenvector matrix of the preconditioner in 4-bit Shampoo is remarkably better …

Generative Semi-Supervised Graph Anomaly Detection, Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

Research Collection School Of Computing and Information Systems

This work considers a practical semi-supervised graph anomaly detection (GAD) scenario, where part of the nodes in a graph are known to be normal, contrasting to the extensively explored unsupervised setting with a fully unlabeled graph. We reveal that having access to the normal nodes, even just a small percentage of normal nodes, helps enhance the detection performance of existing unsupervised GAD methods when they are adapted to the semi-supervised setting. However, their utilization of these normal nodes is limited. In this paper we propose a novel Generative GAD approach (namely GGAD) for the semi-supervised scenario to better exploit the …

Mimicking To Dominate: Imitation Learning Strategies For Success In Multiagent Competitive Games, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

Training agents in multi-agent games presents significant challenges due to their intricate nature. These challenges are exacerbated by dynamics influenced not only by the environment but also by strategies of opponents. Existing methods often struggle with slow convergence and instability. To address these challenges, we harness the potential of imitation learning (IL) to comprehend and anticipate actions of the opponents, aiming to mitigate uncertainties with respect to the game dynamics. Our key contributions include: (i) a new multi-agent IL model for predicting next moves of the opponents --- our model works with hidden actions of opponents and local observations; (ii) …

Sampdetox : Black-Box Backdoor Defense Via Perturbation-Based Sample Detoxification, Yanxin Yang, Chentao Jia, Dengke Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, Mingsong Chen

Research Collection School Of Computing and Information Systems

The advancement of Machine Learning has enabled the widespread deployment of Machine Learning as a Service (MLaaS) applications. However, the untrustworthy nature of third-party ML services poses backdoor threats. Existing defenses in MLaaS are limited by their reliance on training samples or white-box model analysis, highlighting the need for a black-box backdoor purification method. In our paper, we attempt to use diffusion models for purification by introducing noise in a forward diffusion process to destroy backdoors and recover clean samples through a reverse generative process. However, since a higher noise also destroys the semantics of the original samples, it still …

Meta-Entrepreneurship: An Analysis Theory On Integrating Generative Ai, Agentic Ai, And Metaverse For Entrepreneurship, Yingying Zhang, Keng Siau

Research Collection School Of Computing and Information Systems

Metaverse entrepreneurship has emerged as an innovative topic alongside the development of generative AI, agentic AI and metaverse. This study conceptualizes meta-entrepreneurship as a novel form of entrepreneurial activity that enables value creation within virtual and physical realms and proposes an analytical theoretical framework based on a systematic literature review, observations, and focus group study. Our framework is structured around three layers (infrastructure, content, and experience) and two domains (metaverse-based operational domain and AI-based production domain), aims to conceptualize “what is meta-entrepreneurship” and identify new possibilities. The research highlights the multifaceted impact of meta-entrepreneurship on individuals, corporations, industries, societies, and …

Editorial For The Special Issue Of The Metaverse, Fiona Fui-Hoon Nah, Gert-Jan De Vreede, Lakshmi Goel, Eric Lim, Shu Schiller, Chee-Wee Tan

Research Collection School Of Computing and Information Systems

The metaverse is laying the groundwork for more accessible and immersive experiences by blending the physical and virtual worlds into a unified space where people can interact, create, and connect in entirely new ways. It holds the potential to revolutionize how we work, socialize, and learn, which in turn gives rise to unprecedented opportunities for innovation. In this special issue, we present four articles that depict the current state of research in metaverse, the key themes and theoretical underpinnings within this space, as well as emerging directions for future work. This special issue delivers valuable insights for both researchers and …

Virtual Conferencing Fatigue: Look‑Alike Avatar And Facial Attractiveness, Yuxin Liu, Keng Siau, Xueqing Wang, Yang Yang

Research Collection School Of Computing and Information Systems

The rapid evolution of avatar-related technologies provides extensive opportunities for diverse avatar applications in various areas. This study aims to investigate the innovative use of avatars to mitigate virtual conferencing fatigue, which refers to the physical and mental exhaustion from the inappropriate use of virtual conferencing applications. Grounded in Self-Awareness Theory, the research compares the impact of using real faces and user-look-alike avatars on virtual conferencing fatigue, delving into its underlying factors. In addition, the study examines the role of facial attractiveness enhancement on virtual conferencing fatigue. Laboratory experiments with a 2-by-2 between-subject design are employed to test hypotheses. The …

Generating A Reflexive Ai-Assisted Workflow For Academic Writing, Corey W. Johnson, Trena M. Paulus

The Qualitative Report

Digital research workflows are study designs that intentionally consider the use of technology in meaningful and reflexive ways. While most scholars use digital tools and spaces in their research process, doing so has consequences that are infrequently considered in an intentional way. Especially in this age of generative AI, technology integration into research studies will have an even greater impact and consequences on study outcomes. This paper documents one digital research workflow, the academic writing process, to demonstrate how inviting generative AI to be a writing partner can be done in a reflexive manner. Drawing on Paulus and Lester’s (2023) …

A Report Summarizing Hsc Faculty Participants: Ithaka S+R Coordinated Study Making Ai Generative For Higher Education, Laura J. Hall, Robyn Gleasner

Publications

This report presents findings from the University of New Mexico Health Sciences Center’s (HSC) participation in the ITHAKA S+R study Making AI Generative for Higher Education. Seven faculty members from HSC disciplines including internal medicine, pathology, psychiatry, nursing, radiology, and population health were interviewed to explore their perspectives on generative AI (GenAI) in teaching and learning, research and scholarship, and institutional support. A unique theme of “practice” emerged, reflecting how GenAI is influencing clinical care, bench-to-bedside translation, and the preparation of students for future professional practice. The report highlights faculty experiences, ethical concerns, and support needs, offering insight into how …

Divlog: Log Parsing With Prompt Enhanced In-Context Learning, Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He

Research Collection School Of Computing and Information Systems

Log parsing, which involves log template extraction from semistructured logs to produce structured logs, is the first and the most critical step in automated log analysis. However, current log parsers suffer from limited effectiveness for two reasons. First, traditional data-driven log parsers solely rely on heuristics or handcrafted features designed by domain experts, which may not consistently perform well on logs from diverse systems. Second, existing supervised log parsers require model tuning, which is often limited to fixed training samples and causes sub-optimal performance across the entire log source. To address this limitation, we propose DivLog, an effective log parsing …

Exploring The Cognitive Sense Of Self In Ai: Ethical Frameworks And Technological Advances For Enhanced Decision-Making, Emily Barnes, James Hutson

Faculty Scholarship

The burgeoning field of Artificial Intelligence (AI) increasingly focuses on developing systems capable of self-awareness, merging technological innovation with deep ethical and philosophical considerations. This article explores the cognitive sense of self within AI, examining mechanisms through which AI systems may mirror human-like consciousness and self-perception. Despite significant advances, substantial gaps remain in the understanding and practical implementation of self-aware characteristics in AI, particularly in applying theoretical models and ethical frameworks to real-world scenarios. There is a pressing need for comprehensive research to explore these theoretical underpinnings and translate them into operational systems capable of ethical and adaptable behaviors. This …

The Impact Of In Ovo Administration Of Probiotic Lactobacilli On The Gut Health And Immune Competence Of Broiler Chickens, Shreeya Sharma

All Theses

Due to the incomplete development of their immune system, newly hatched chicks are vulnerable to a wide range of pathogenic microorganisms, including enteric bacterial pathogens during the early stage of life. To boost their immune system during this critical period, numerous studies suggest early feeding, either in ovo or immediately post-hatch, of nutrients and immunomodulators such as prebiotics, probiotics, phytobiotics, Toll-like receptors (TLRs) ligands, vitamins and minerals. Probiotics, defined as live, non-pathogenic microorganisms that confer beneficial effects on the host, have been extensively studied for their effects on poultry health. Supplementation of probiotics to chickens has demonstrated a broad spectrum …

Suboptimal Attainment Of Global Goals Of Human Rights, Universal Health Coverage And Sustainable Development Goals In Gaza During 2023–2024, Mohammed Alkhaldi, Bhavana Akilan, Maha Hoteit, Mohamed Elhadidy, Suzanne Morrison

All Works

The Israel military occupation, ongoing for over 75 years, has profoundly impacted the health and well-being of Palestinians. Despite longstanding calls for Universal Health Coverage (UHC) and sustainable development, the response of global health systems and organizations to crises such as the recent large-scale military assault on Gaza in October 2023 has been inadequate. There is a critical need to examine why these global health approaches have failed and how they can be restructured to address the unique challenges in Gaza effectively. This analysis aims to analyze the shortcomings of global health strategies in the context of the Gaza crisis …

A Descriptive Case Study Of An Innovative, University-Based Coaching System For Resident Teachers, Matthew J. Wester

Dissertations

Teacher residency programs (TRPs) have emerged over the past two decades as an effective model of teacher preparation. Within this alternative pathway to teacher certification, pre-service teachers, known as resident teachers, engage in a lengthy clinical teaching experience under the guidance of a trained mentor teacher and field supervisor while concurrently completing closely aligned, graduate-level coursework.

A key element of successful teacher residency programs is the use of a structured coaching system to support resident teachers — defined in this study as the components that form the coaching framework for resident teachers within a defined educational context, operating together to …