Digital Commons Network^™

Concrete Patio Demolition And Construction, Tyler Nielsen

Construction Management

A 6.25 cubic yard unreinforced concrete patio was constructed for the non-profit organization. This project included three phases: concrete slab demolition, grading and formwork, and concrete pouring. Each phase was estimated and then received owner approval prior to execution. The demolition phase involved obtaining city permits for a roll-off container for debris removal. This phase also included two days of work with over 10 demolition crew members, who were given the required training and equipment to ensure safety and productivity. The following weeks included grading and setting up formwork. Once the grade was complete, the formwork was laid out and …

Designing Augmented Reality (Ar) Simulations For Construction Scheduling Education: A Process-Based Approach, Spencer B. Gardner

Construction Management

Construction students often understand what’s being built, but not how it gets built. The process, which is timing, sequencing, adapting to real-world issues is harder to teach with traditional tools like plan sets and Gantt charts. To close that gap, this study explores how Augmented Reality (AR), using Microsoft HoloLens, can bring jobsite logic into the classroom. We developed three AR simulations, each with increasing complexity, to give students hands-on experience with real-world scheduling and coordination problems. The scenarios ranged from basic utility sequencing to adjusting for delays and correcting out-of-sequence installations. Students started with written planning, then moved into …

Linking Symptom Inventories Using Semantic Textual Similarity, Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey, Kelly S Peterson, Kristen Dams O'Connor, Ronak Agarwal, Houshang H Amiri, Raeda K Andersen, Talin Babikian, David A Baron, Erin D Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G Disner, Ekaterina Dobryakova, Blessen C Eapen, Rachel M Edelstein, Carrie Esopenko, Helen M Genova, Elbert Geuze, Naomi J Goodrich-Hunsaker, Jordan Grafman, Asta K Håberg, Cooper B Hodges, Kristen R Hoskinson, Elizabeth S Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M Jha, Finian Keleher, Kimbra Kenney, Inga K Koerte, Spencer W Liebel, Abigail Livny, Marianne Løvstad, Sarah L Martindale, Jeffrey E Max, Andrew R Mayer, Timothy B Meier, Deleene S Menefee, Abdalla Z Mohamed, Stefania Mondello, Martin M Monti, Rajendra A Morey, Virginia Newcombe, Mary R Newsome, Alexander Olsen, Nicholas J Pastorek, Mary Jo Pugh, Adeel Razi, Jacob E Resch, Jared A Rowland, Kelly Russell, Nicholas P Ryan, Randall S Scheibel, Adam T Schmidt, Gershon Spitz, Jaclyn A Stephens, Assaf Tal, Leah D Talbert, Maria Carmela Tartaglia, Brian A Taylor, Sophia I Thomopoulos, Maya Troyanskaya, Eve M Valera, Harm Jan Van Der Horn, John D Van Horn, Ragini Verma, Benjamin S C Wade, Willian C Walker, Ashley L Ware, J Kent Werner, Keith Owen Yeates, Ross D Zafonte, Michael M Zeineh, Brandon Zielinski, Paul M Thompson, Frank G Hillary, David F Tate, Elisabeth A Wilde, Emily L Dennis

Faculty, Staff and Students Publications

An extensive library of symptom inventories has been developed over time to measure clinical symptoms of traumatic brain injury (TBI), but this variety has led to several long-standing issues. Most notably, results drawn from different settings and studies are not comparable. This creates a fundamental problem in TBI diagnostics and outcome prediction, namely that it is not possible to equate results drawn from distinct tools and symptom inventories. Here, we present an approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories by ranking item text similarities according to their conceptual likeness. We tested …

Neuroanatomical Features Of Naa10 And Naa15-Related Neurodevelopmental Syndromes, Rahi Patel, Rikhil Makwana, Carolina Christ, Elaine Marchi, Christina Y Miyake, Fabricio Guimaraes Goncalves, Gholson J Lyon, Matthew T Whitehead

Faculty, Staff and Students Publications

Background: NAA10-related and NAA15-related neurodevelopmental (ND) syndromes present with intellectual disability, hypotonia, cardiac abnormalities, and delayed development. While data exists on the clinical manifestations of these conditions, there are few reports describing the neuroanatomical abnormalities present on imaging.

Objective: We aim to provide neuroimaging analyses for a subset of probands with NAA10- and NAA15-related neurodevelopmental symptoms and assess the severity and number of neuroanatomical anomalies and their associated functional impairments to better understand the pathophysiology of these disease processes.

Materials and methods: Neuroimaging studies were obtained from 26 probands (18 with pathogenic variants in NAA10, 8 with pathogenic variants in …

Pre-Amplification Of Cell-Free Dna: Balancing Amplification Errors With Enhanced Sensitivity, Wei Yen Chan, Ashleigh Stewart, Russell J. Diefenbach, Elin S. Gray, Jenny H. Lee, Richard A. Scolyer, Georgina V. Long, Helen Rizos

Research outputs 2022 to 2026

Circulating tumour DNA (ctDNA) is a promising biomarker for personalised oncology. However, its clinical utility is limited by detection sensitivity, particularly in early-stage disease. T-Oligo Primed Polymerase Chain Reaction (TOP-PCR) is a commercial amplification approach utilising an efficient “half-adapter” ligation design and a single-primer-based PCR strategy. This study evaluated the clinical value and application of cell-free DNA (cfDNA) pre-amplification. cfDNA amplification with TOP-PCR preserved DNA size profiles and resulted in a 22 bp size increase due to the half-adaptor ligation. Gene target amplification rates varied, showing lower efficiency for the GC-rich TERT promoter amplicon and higher efficiency for the BRAF …

Paradoxical Leadership As Facilitator In The Idea Journey: The Role Of Regulatory Focus, Irene E. De Pater, Shenghui Wang, Ming Yi, Eric F. Rietzschel

Research outputs 2022 to 2026

Drawing upon theory and research on innovation, conservation of resources, and paradoxical leadership, we examine relationships between three stages of the innovative process (i.e., idea generation, idea dissemination, and idea implementation) and the role of paradoxical leadership as a facilitator of the transitions between these stages. In addition, we examine the motivational mechanisms (promotion and prevention focus) that can explain the relevance of paradoxical leadership in the innovative process. Results of a four-wave study show that paradoxical leadership, through employee promotion focus, strengthens the relationship between idea generation and idea dissemination, whereas paradoxical leadership, through employee prevention focus, strengthens the …

Baseline Habitual Dietary Nitrate Intake And Alzheimer's Disease Related Neuroimaging Biomarkers In The Australian Imaging, Biomarkers And Lifestyle Study Of Ageing, Anjana Rajendra, Nicola P. Bondonno, Kevin Murray, Liezhou Zhong, Stephanie R. Rainey-Smith, Samantha L. Gardener, Lauren C. Blekkenhorst, Vincent Doré, Victor L. Villemagne, Simon M. Laws, Belinda M. Brown, Kevin Taddei, Colin L. Masters, Christopher C. Rowe, Ralph N. Martins, Jonathan M. Hodgson, Catherine P. Bondonno

Research outputs 2022 to 2026

Background: Dietary nitrate, as a nitric oxide (NO) precursor, may support brain health and protect against dementia. Objective: Our primary aim was to investigate whether dietary nitrate is associated with neuroimaging markers of brain health linked with Alzheimer's disease (AD). Participants: Study participants were cognitively unimpaired individuals from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing (AIBL) who had β-amyloid positron emission tomography (PET) scans (n = 554) and magnetic resonance imaging (MRI) scans (n = 335) and had completed a Food Frequency Questionnaire at baseline. Methods: Source-specific nitrate intakes were estimated using comprehensive nitrate food composition databases. Rates …

Symposium Introduction: Illuminating Public Health Struggles Behind Bars, Justin Iverson, Javiera Sothers

Nevada Law Journal

No abstract provided.

Keynote: Promoting Disability Equality Behind Bars, Margo Schlanger

Nevada Law Journal

No abstract provided.

Secretive Sheriffs: Opacity And Variation In California's Jail Responses To Covid-19, Aparna Komarla, Hadar Aviram

Nevada Law Journal

No abstract provided.

The Solitary Confinement Crisis In Immigration Detention, Sabrineh Ardalan, Arevik Avedian, Philip L. Torrey

Nevada Law Journal

No abstract provided.

Exonerations For Wrongfully Convicted Disabled Inmates: The Path To Salvation Is Paved With Bad Intentions, Marc Consalo

Nevada Law Journal

No abstract provided.

Decades Of Indifference And Failures In Accountability In The Provision Of Medical Care In Federal Prisons, Nicole B. Godfrey

Nevada Law Journal

No abstract provided.

Skip The Grid 2025: Providing Power In The Navajo Nation, Daniel R. Lombardi

Construction Management

Skip the Grid is an interdisciplinary initiative aimed at supporting the Navajo Nation by providing access to off-grid power to improve quality of life. This year, the Skip the Grid team centered its efforts around the Chinle Unified School District in Chinle, Arizona. This collaborative effort was composed of an interdisciplinary team of California Polytechnic State University (Cal Poly) students, along with industry partners including SOLV Energy, Heart of America, Goal Zero, and Nextracker. Many families in the Navajo Nation still live without access to reliable electricity. Between March 23rd and March 27th, 2025, the Skip the Grid team successfully …

Skip The Grid: Solar Installation For Navajo Communities, Emilio Tiziano Cervantes

Construction Management

In March 2025, a group of 20 students from California Polytechnic State University, San Luis Obispo took part in Skip the Grid, a hands-on service initiative aimed at expanding access to reliable solar energy in the Navajo Nation. In partnership with SOLV Energy, NextTracker, and the non-profit Heart of America, the team traveled to Chinle, Arizona, where they installed off-grid solar systems in 40 homes across the Chinle School District. Each setup included solar panels, a battery with electrical outlets, lighting, and a refrigerator—providing essential power to families whose homes were previously without it. All of the households served kids …

Measuring Children’S Reward And Punishment Sensitivity: An Initial Psychometric Evaluation Of The Contingency Response Rating Scale, Daniel A. Waschbusch, Vanessa T. Cao, Delshad M. Shroff, Pevitr S. Bansal, Michael T. Willoughby

Department of Psychology Faculty Scholarship and Creative Works

Existing research shows that children’s responses to rewards and punishments are essential for understanding attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder, and callous-unemotional traits. The present study developed the Contingency Response Rating Scale (CRRS) to fulfill the need for a reliable and valid measure of children’s contingency response style that is brief, easy to use in applied settings, and provides additional information to existing clinical measures. We examined the psychometric properties of the CRRS in a sample of 196 children (ages 5–12), most of whom were referred to evaluate attention and behavior problems in an outpatient clinic. Using principal axis …

Glacier Velocity Estimation Using Adaptive Search Window And Patch Size, Pratik Patil

Master’s Dissertations

Synthetic Aperture Radar (SAR) technology offers a robust solution for monitoring glacier surface motion, particularly in regions with challenging environmental conditions, since it do not dependence on time of day and weather. This paper presents an enhanced glacier motion monitoring approach based on a Deep Matching Network (DMN), which learns patch-pair correspondences in an end-to-end manner. Unlike traditional shallow feature tracking methods, DMN utilize deep feature similarity through a Siamese network architecture with dense connection blocks to maximize feature reuse and improve training efficiency. To further improve precision and reduce computational cost, the proposed method uses a variable search window …

Modeling And Verification Of Sigma Delta Neural Networks, Sirshendu Das

Master’s Dissertations

In the context of modern day embedded safety-critical systems and low-resource edge devices in particular, Sigma-Delta Neural Networks (SDNNs) offer a promising alternative to traditional Artificial Neural Networks (ANNs) by leveraging eventdriven, sparse computations inspired by biological neural processing. This energyefficient paradigm makes SDNNs well-suited for neuromorphic hardware and realtime applications, particularly in scenarios with temporal redundancy, such as video processing. However, as neural networks become integral to safety-critical systems, ensuring their robustness against adversarial perturbations is an absolute necessity. In this work, we propose an end-to-end framework for formal modeling and verification of SDNNs using Satisfiability Modulo Theory (SMT). …

Addressing Class Imbalance Problems To Improve Animal Detection Through Aerial Image Data, Suryang Koushal

Master’s Dissertations

Monitoring animal populations in wildlife reserves is essential for conservation, especially for endangered species, but manual censuses are costly, risky, and logistically challenging due to vast, inaccessible terrains. Unmanned Aerial Vehicles (UAVs) with digital cameras provide a safer, scalable solution for collecting aerial imagery to estimate animal populations. However, semi-automated processing of these images faces significant challenges due to class imbalance in datasets, including foreground-background disparities, where background terrain dominates over sparse animal instances, and inter-class imbalances from uneven species representation and varied visual appearances (e.g., species, sizes, fur patterns) against diverse backgrounds like deserts or forests. These imbalances hinder …

Enhancing Expressive Power Of Graph Neural Networks Using Geometric Transformations, Suranjan Dey

Master’s Dissertations

Graph Neural Networks (GNNs) are highly effective in many real-world tasks, such as molecular property prediction, modeling protein structures, analyzing user-item relationships, and making link predictions. What sets them apart is their ability to learn meaningful representations by capturing not just the features of individual nodes, but also the overall structure of the graph they belong to. This expressive strength allows GNNs to model complex relationships more accurately. In this work, we take a step further by introducing geometric transformations aimed at improving how GNNs handle spatial information. In particular, we focus on angular aggregation methods that maintain rotational consistency, …

Application Of Deep Learning In Analysis Of Stellar Spectra, Piyush Yayati

Master’s Dissertations

In recent years, the analysis of high-resolution stellar spectra has become increasingly important for estimating key stellar parameters such as effective temperature (Teff ), surface gravity (log g), metallicity ([M/H]), and rotational velocity (v sin i). Traditional methods often rely on manual calibration or spectrum synthesis, which can be time-consuming and error-prone, especially for M dwarfs whose spectra are dense with molecular features. In this study, we investigate the use of convolutional neural networks (CNNs) to automate the estimation of stellar parameters using synthetic and observed data.We adopt a StarNet-like CNN architecture trained on synthetic spectra generated from the PHOENIX-ACES …

Prevalence Of Very High Cholesterol Levels In Asymptomatic Military Recruits: A Single Center Study, Ghada A. Rashwan, Hadiza O. Ibrahim, Adil I. Jumani, Rima Y. Alsayari, Majdi S. Alnajjar, Khalid M. Alfakih

Saudi Medical Journal

ABSTRACT Objectives: To determine the prevalence of very high low-density lipoprotein cholesterol (LDL-C) levels (≥4.9 mmol/L) among asymptomatic military recruits in the United Arab Emirates (UAE). Familial hypercholesterolemia (FH) is an underdiagnosed genetic disorder associated with significantly elevated LDL-C levels, increasing the risk of premature atherosclerotic cardiovascular disease (ASCVD). Methods: A cross-sectional study was conducted at Zayed Military Hospital in Abu Dhabi, UAE, between August 2023 and July 2024. 30,000 UAE national military recruits aged 17 to 40 underwent routine lipid screening. Electronic medical records (EMRs) were reviewed, and individuals with LDL-C ≥4.9 mmol/L were identified. Results: Among the participants, …

The Impact Of Antibiotic Prophylaxis Appropriateness, Duration And Associated Cost On The Rate Of Surgical Site Infection At A Tertiary Hospital In Riyadh, Saudi Arabia: A Retrospective Study, Amal Bin Akresh, Deema S. Alzeet, Njoud Z. Alshalan, Marwa M. Alhawsawi, Nada A. Alsaleh, Reem A. Binsuwaidan, Alaa A. Alhubaishi, Abdulaziz I. Altowaijri, Najla N. Alebedah, Nisreen M. Sherbeeni, Lina I. Alnajjar

Saudi Medical Journal

ABSTRACT Objectives: To evaluate the incidence of surgical site infections (SSIs) based on compliance with surgical antibiotic protocols and the duration of surgical antibiotic prophylaxis (SAP). Secondary objectives include assessing 30-day rehospitalization rates, 30-day mortality, antibiotic-associated adverse events, and the estimated additional costs of prolonged antibiotic use in patients receiving long courses of antibiotics. Methods: This retrospective observational study was conducted at Prince Sultan Military Medical City from 2021 to 2022. It included adult patients who underwent elective surgery and received antibiotic prophylaxis. Patients were divided into 4 groups based on SAP compliance and prophylaxis duration. Using data from electronic …

How “Green” Are Green Acquisitions Really?, Sri V Srinivasan

Dissertations and Theses Collection (Open Access)

Our study finds that 43.14% of global green mergers & acquisitions (GMAs) from 2001 to 2020 may be susceptible to Green Embellishment—the gap between corporate environmental representations and actual performance, regardless of intent. Using a multi-criteria theoretical framework, we show that financial constraints strongly drive Green Embellishment in GMAs, with regulatory stringency and national culture moderating this effect. GMAs in weak regulatory environments are especially vulnerable, particularly under high stakeholder pressure. We further provide empirical evidence that financially constrained GMAs with lower green profiles and those in “browner” industries exhibit a higher propensity for Green Embellishment. Even in stringent …

Exploring How The High Or Low Of Firm Transparency And Speed Of Adjustment In Its Capital Structure Relates To The Implied Cost Of Capital Of A Firm, Yung Chee Leong

Dissertations and Theses Collection (Open Access)

This dissertation tackles a core challenge in corporate finance — how firms can optimise both their capital structure decisions and the way those decisions are communicated to investors. It shows that while financial responsiveness (SOA) and transparency each help lower a firm’s implied cost of capital (ICC), the most meaningful reduction occurs when both are present and working together. For CFOs, the research offers a practical way to connect capital structure planning with communication strategy to improve market understanding and reduce financing costs. For investors and analysts, it introduces the idea of a transparency–SOA alignment measure to better assess firm …

The Association Between Different Succession Methods And Innovation Investments In Family Businesses In China, Lei Wu

Dissertations and Theses Collection (Open Access)

Amidst the deepening of economic globalization, countries around the world are being progressively steered toward paths of innovative development, laying a solid foundation for enhancing national comprehensive strength and elevating international standing. Especially after the implementation of the reform and opening-up policy in our country, technological innovation has become the main direction of our transformation. According to the requirements of the 20th National Congress of the Communist Party of China, innovation-driven development will be fully applied to the country's development, creating favorable conditions for the realization of strategic development goals. National development and social progress are directly linked to corporate …

Interactive Generative Modeling: A Pathway For Improved Simulation And Decision Making, Changyu Chen

Dissertations and Theses Collection (Open Access)

This dissertation presents Interactive Generative Modeling (IGM), a unified perspective that integrates interactive paradigm and generative modeling to advance the development of general-purpose intelligent systems. IGM is motivated by the observation that while reinforcement learning (RL) has mastered a wide range of complex simulated tasks, it struggles to generalize in high-dimensional, open-ended tasks. In contrast, generative models excel in such settings due to their expressivity and their ability to serve as powerful priors (e.g., LLMs pretrained on massive corpora). By bridging these two paradigms, IGM offers a promising path forward.

The first direction explored in this dissertation is IGM for …

Carolyn Parker's Electronic Frequencies, Charnell Chasten Long

Faculty Publications

The chapter illustrates what it meant for Carolyn Beatrice Parker (1917–1966) to be a Black woman physicist in the US during the Jim Crow era. Her father, a physician, and her mother, a teacher, shepherded her into Fisk University, an historically Black college. As a physics major she studied infrared spectroscopy with the Black physicist Elmer Imes, graduating with a BS in 1938. She later attended the University of Michigan, obtaining an MA in physics in 1941. But like many Black women, she spent time before and after graduate school teaching in the K–12 system. In 1943, she became a …

Ni-Mn-In Heusler Alloy Ribbon For Magnetocaloric Application, Bao Nguyen

Masters Theses

A traditional cooling system, which applies compression technology within the working fluid, has had a lot of negative impacts on the environment and has low efficiency. They have almost reached the thermodynamic efficiency; there is little room for further improvement. Therefore, solid-state cooling systems, especially those that use the magnetocaloric effect (MCE), have drawnmuch interest as an alternative solution for the vapor-compression system. The Heusler alloy, especially Ni-Mn-In in this research, can be an excellent candidate for this application due to its unique properties, such as the shape memory effect and giant MCE. Their giant MCE results from a first-order …

Using Computerized Instruction To Increase Professional Competence With Cognitive Behavioral Therapy (Cbt) Modifications, Paige Lee Sherlund-Pelfrey

Masters Theses

One in thirty-six children receive an Autism Spectrum Disorder (ASD) diagnosis, and an estimated 5.4 million adults in the United States have previously received an ASD diagnosis (Centers for Disease Control and Prevention [CDC], 2022). At least seventy percent of individuals with ASD have one comorbid disorder (Valderas et al., 2009). Some common comorbid disorders for individuals with ASD include depression, anxiety, and obsessive-compulsive disorders. Cognitive Behavioral Therapy is an evidence-based therapy that can support depressive, anxiety and OCD symptoms, and has empirically supported modifications that can be used with the ASD population. However, research reports that clinicians are not …