Digital Commons Network^™

Everyone Brings Something To The Table: A Culturally Sustaining Analysis Of Teacher Candidates’ Mixed Reality Teaching Simulations, Erin Scott

Faculty Publications

Discussions of HBCU students’ content knowledge have centered around developing high impact, asset-based approaches to learning (Williams et al, 2022). So, HBCU teacher preparation providers (TPPs) can also focus efforts on culturally sustaining approaches to developing candidates’ content knowledge and researching how high impact practices, like teaching simulations, can help prepare candidates for classrooms. This exploratory case study uses critical cases (n=2); findings suggest candidates have a developing understanding of content, which forms a solid basis for increasing their knowledge. MRTSs are addressed as a potential high impact, culturally sustaining practice for building candidates’ content knowledge. Further, HBCU TPPs can …

Land Cover Effects On Stream Water Chemistry In The Upper Saline River Watershed, Brandy Everett

Graduate Theses and Dissertations

Non-point source (NPS) pollutants and the conversion of natural areas to anthropogenic uses are one of the most critical stressors on water quality. The Upper Saline River Watershed has seen an increase in anthropogenic land cover over the last two decades, leading it to be previously identified as a 319 NPS priority watershed in Arkansas. This study used publicly available data to assess the magnitude and trends of total nutrients (TN and TP) at both the watershed and site level scale. Results suggest a decrease of 2.6%/yr in TN concentrations and 1.5%/yr in TP concentrations at the watershed scale. While …

Estimating Medium-Term Regional Monthly Economic Activity Reductions During The Covid-19 Pandemic Using Nighttime Light Data, Ma Flordeliza P. Del Castillo, Toshio Fujimi, Hirokazu Tatano

SOSE Affiliate: Manila Observatory

Economic impact estimates of the initial lockdowns due to the COVID-19 pandemic showed a significant reduction in economic activities globally. However, the succeeding impacts and their spatiotemporal distribution within countries remain unknown. Studies showed that nighttime light data (NTL) has effectively revealed the spatiotemporal dimensions of the economic effects of COVID-19. Thus, this study used NTL data to determine the medium-term regional monthly economic impacts of the pandemic in the Philippines in terms of the Economic Activity Reduction (EAR) index. We generated a spatial error model, regressing pre-pandemic NTL on mean temperature, maximum rainfall, and built-up area. This model explained …

Kid Tech Balance: Providing Children Self-Management Tools As An Alternative To Parental Controls, Michael Scott Wendell

Boise State University Theses and Dissertations

Technology integration into the household is ever expanding and so is the need for children's safety when it comes to accessing this technology. Parental controls exist as a way for parents to be able to control and protect their children from possible hazards of technology use. However, many controls provide only the ability to help parents lock or restrict their children from using technology. This research seeks to identify and create a control solution that helps develop moderation habits in children instead of restrictions, thereby helping both parents and children. I developed a new control application through this research, aptly …

Tracking Natural Hazards: Bridging Rain-Triggered Lahar Research And Protective Action Decision Making In Wildland Fire Management, Ashley Bosa

Boise State University Theses and Dissertations

Understanding natural hazards is crucial for mitigating risks, protecting lives and property, and building resilience in communities. By enabling communities to prepare, respond effectively, and take protective action against disasters, the devastating impacts of natural hazards can be significantly reduced. However, transitioning from research to tangible community impact involves a multi-step process that bridges the gap between scientific knowledge and practical application. In this dissertation, I present two seismo-acoustic analyses of multiple rain-triggered lahar events at Volcán de Fuego in Guatemala, a granulometry study that attempts drone imagery analysis for lahar deposits, and a case-study review of the roles of …

Scholarships, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

The Periconceptional, Physical Activity, Environment, Nutrition And Diet (Prepared) Study, Aaliyah Devore

McNair Scholars Research Journal

No abstract provided.

Enhancing Accessibility: Policy Innovations For Lower Limb Prosthetic Users, Hannah Huggans

McNair Scholars Research Journal

No abstract provided.

About The Mcnair Scholars Program, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Using Machine Learning To Improve Confidence In Lung Cancer Diagnosis, Sandra Channeary Khoun

McNair Scholars Research Journal

Health professionals must diagnose correctly to avoid unnecessary costs in care and medicine. Different conditions, come with different treatments. Therefore, it is key to produce the right diagnoses promptly to help treat people appropriately and quickly. As lung cancer is the leading cancer type in the world, it is often diagnosed too late once symptoms appear which becomes difficult to treat at certain stages. In the race against time, recruiting the use of machine learning next to traditional methods of diagnosing will improve the confidence of professionals to predict specific conditions accurately and with speed. For our research, we will …

Assessing The Potential For Soil-Mediated Transmission Of Symbiotic Bacteria In The Leaffooted Bug (Leptoglossus Phyllopus), Armeen Nasir

McNair Scholars Research Journal

Recent evidence suggests insects might indirectly provide symbionts to their offspring by releasing them into the soil via feces. We investigated whether this is occurring in the Eastern leaf-footed bug, Leptoglosuss phyllopus. We hypothesized that if adults release viable symbiont cells into their environment, then nymphs will have a higher survival rate, develop faster, and be larger at adulthood when exposed to soil that has been in contact with adult insects for longer. To measure the rate and whether the bugs acquired Caballeronia from the soil, insect nymphs were exposed to soil that had been exposed to a lab colony …

Identification Of Novel Genes Regulating Caenorhabditis Elegans Morphologically Complex Cellelimination, Brenda Amata

McNair Scholars Research Journal

No abstract provided.

A Survey Of 12 Exoplanet-Star Systems And Their Exomoon Candidates, Connor Jackson

McNair Scholars Research Journal

No abstract provided.

Investing The Therapeutic Possibilities Of Glassblowing, Isabella Posca

McNair Scholars Research Journal

No abstract provided.

A Machine Learning Approach To Multifactorial Modeling Of Episodic Memory Performance, Evan Fletcher, Marianne Chanti-Ketterl, Emily Hokett, Yi Lor, Umesh Venkatesan, Paola Gilsanz, Rachel Whitmer, Ruijia Chen, Kristen George, Zvinka Zlatar

Moss-Magee Rehabilitation Papers

BACKGROUND: Neurocognitive health is influenced by multiple modifiable and non-modifiable lifestyle factors. Machine learning tools offer a promising approach to better understand complex models of cognitive function. We used extreme gradient boosting (XG Boost), an algorithm of decision-tree modeling, to analyze the association between 15 late-life lifestyle and demographic factors with episodic memory performance. METHOD: Our dataset consisted of 2247 participants from the KHANDLE and STAR cohorts. Participants included 841 men and 1406 women, an ethnoracial diversity of 413 Asian, 987 Black, 349 Latinx, and 496 White adults with age range 54-90 (mean = 74). XG Boost models of continuous …

Quantitative Evaluation Of Baseflow Separation Methods Using An Integrated Hydrologic Model: A Case Study In A Snow-Dominated Watershed, Jihad Othman

All Graduate Reports and Creative Projects, Fall 2023 to Present

Baseflow, commonly referred to as the groundwater contribution to streamflow, constitutes approximately 50% of streamflow in mountainous regions of the Western United States. Accurately quantifying the amount of baseflow is critical for water management and decision-making, as it significantly impacts stream water quality, low flow availability, and ecosystem health. Traditionally, baseflow has been estimated using conceptual and automated baseflow separation methods, which are known to be both arbitrary and ambiguous, posing a challenge to validate them. In this study, we developed an integrated hydrologic model that seamlessly integrated the exchange between surface and subsurface flows to physically quantify the baseflow …

Chatgpt Vs Expert-Guided Care Pathways For Postesophagectomy Symptom Management, Mohamad K Abou Chaar, Giovanna Grigsby-Rocca, Ming Huang, Shanda H Blackmon

Faculty, Staff and Student Publications

BACKGROUND: The objective of this study was to compare generative artificial intelligence-initiated care pathways, using ChatGPT, with expert-guided consensus-initiated care pathways from AskMayoExpert (AME) for symptom management of esophageal cancer patients after esophagectomy.

METHODS: A formal protocol for development of 9 AME care pathways was followed for specific patient-identified domains after esophagectomy for esophageal cancer. Domain scores were measured and assessed through the Upper Digestive Disease tool. These care pathways were developed by experts validated by a consensus-driven methodology. ChatGPT was used to answer specific questions similar to the AME care pathway on April 9, 2023, and March 28, 2024. …

Addressing Ethical Issues In Healthcare Artificial Intelligence Using A Lifecycle-Informed Process, Benjamin X Collins, Jean-Christophe Bélisle-Pipon, Barbara J Evans, Kadija Ferryman, Xiaoqian Jiang, Camille Nebeker, Laurie Novak, Kirk Roberts, Martin Were, Zhijun Yin, Vardit Ravitsky, Joseph Coco, Rachele Hendricks-Sturrup, Ishan Williams, Ellen W Clayton, Bradley A Malin, Bridge2ai Ethics And Trustworthy Ai Working Group

Faculty, Staff and Student Publications

OBJECTIVES: Artificial intelligence (AI) proceeds through an iterative and evaluative process of development, use, and refinement which may be characterized as a lifecycle. Within this context, stakeholders can vary in their interests and perceptions of the ethical issues associated with this rapidly evolving technology in ways that can fail to identify and avert adverse outcomes. Identifying issues throughout the AI lifecycle in a systematic manner can facilitate better-informed ethical deliberation.

MATERIALS AND METHODS: We analyzed existing lifecycles from within the current literature for ethical issues of AI in healthcare to identify themes, which we relied upon to create a lifecycle …

Enhancing Student Learning Of The Physics Of The Human Eye In The Context Of Computer Vision Syndrome During Covid-19, Liang Zeng, Guang Zeng

Physics & Astronomy Faculty Publications

No abstract provided.

Understanding And Influencing Public Concerns About Prescribed Fire Use In Utah, Brooke Richards

All Graduate Theses and Dissertations, Fall 2023 to Present

Prescribed fire is beneficial for improving forest health and reducing wildfire risk, which is especially important for residents who live near forested areas. To expand the use of prescribed fire, Utah land managers must first ensure there is public support. Therefore, better understanding public concerns and what shapes their beliefs about prescribed fire can help managers improve outreach and education methods. Through interviews with south-central Utah land managers, private landowners, and Health departments employees, a focus group discussion with Park City natural resource managers, and observation of Summit County public commentary, two outreach messages were suggested to address the five …

Creating Place-Based Introductory Geoscience Field Trip Curricula For Indigenous Students, Kitri Spencer

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project seeks to produce and evaluate a place-based geoscience field trip curriculum along the San Juan River designed for Indigenous students. The Geoscience on the San Juan River field trip uses a “place-based” approach to weave scientific concepts with the cultural knowledge and lived experiences of the students. Learning activities were designed to accommodate a wide range of learning preferences and accessibility needs with the hope of increasing Indigenous enrollment in the geosciences. The lesson plan was tested on June 4^th, 2022 during a guided rafting excursion on the San Juan River for students participating in the …

Liquid Chromatography-Mass Spectrometry Based Metabolomics, Lipidomics And Epitranscriptomics., Raobo Xu

Electronic Theses and Dissertations

Metabolomics and lipidomics are the comprehensive studies of metabolites and lipids in cells, biological fluids, tissues, or organisms. These distinct chemical fingerprints are left behind by cellular processes. Epitranscriptomics is the field that focuses on examining chemical modifications on RNA molecules at the transcriptome level. Liquid chromatography-mass spectrometry (LC-MS) has been widely used in those omics studies. In this dissertation, I developed and applied both untargeted and targeted approaches using LC-MS based various analytical platforms to conduct omics studies. Firstly, I investigated caffeine metabolites in human urine and discovered three potential functional biomarkers to differentiate the stages of alcohol-associated liver …

Methanogenesis Kinetics Of Organic Matter Of The Leachate In An Up-Flow Anaerobic Sludge Blanket Reactor, Mohamad Ali Fulazzaky, Ali Yuzir, Tiffany L. Messer, Agus Sofyan

UK CARES Faculty Publications

Understanding the treatment of leachate mediated by the development of anaerobic sludge makes it possible to create an effective design process of biodegradation technology. This study used an up-flow anaerobic sludge blanket (UASB) reactor equipped with a gas–liquid-solid separator to capture CH4 for treating landfill leachate to improve understanding of methanogenesis kinetics of organic matter. The performance of UASB was able to remove 154.75 g/L of chemical oxygen demand (COD) content of the leachate originally anticipated to emit 2.99 L of CH4 production into the atmosphere. The trend in the variation of internal mass transfer (IMT) factor was close to …

Nuclear Energy Is Clean And Safe Energy, Katie Morland

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

From the grappling fear of horrific meltdowns to the promise of new innovative advancements, nuclear energy has been surrounded by misunderstandings and myths for decades. A non-partisan approach from media outlets is essential for having a well-balanced understanding of how nuclear energy works and why it is good for our consumption.

Despite bias concerns that are leading to misunderstanding, nuclear energy offers a wide range of reliable cleaner types of energy. Moving forward we need to ask ourselves are we going to keep letting misinformation and misconceptions stop us from developing better advancements in nuclear energy for cleaner energy use …

Zoning Regulations Are Harming Nebraska’S Wind Energy Future, Carter Probst

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Nebraska is a prime location for renewable energy sources, such as wind. According to Climate Central, a policy-neutral non-profit, “While Nebraska ranks fourth among U.S States for potential wind energy generation, it ranks 15th in installed capacity.” What is the number one reason Nebraska has not fully tapped into its potential, which would have numerous economic and climate benefits? Harsh zoning regulations at the county level, fueled by misinformation, have made installation of wind turbines nearly impossible across multiple counties in Nebraska.

Resting-State Brain Activity And Its Relationship To Mental Health In Epilepsy Using Fmri, Florian Gobellan Rodriguez

McNair Scholars Research Journal

No abstract provided.

Evaluating The Efficiency Of Lossless Compression Algorithms Across Multiple Formats In Archival Compression, Matthew Gonzales

McNair Scholars Research Journal

Data storage or retention is an essential part of all business operations. Modern companies opt to store user data seven years or more after it is deleted and even longer when it’s still being hosted. Therefore, when storing files for long periods of time compression becomes an essential step in reducing cost and total file storage. Compression is the strategic removement of portions of data while ensuring that enough data is left behind to reconstruct the file during decompression. This experiment seeks to identify potential benefits of compression in groups of files of differing formats in comparison to individual file …

Postpartum Depression In North American Ghanaian Women, Natalie Bawuah

McNair Scholars Research Journal

No abstract provided.

Prioritizing The Parent Perspective: A Mixed Methods Approach To Deconstructing Learning Deficiencies Within Marginalized And Underserved Communities, Zea Wallace

McNair Scholars Research Journal

No abstract provided.

An Alternate Way Of Factoring Mathematical Objects And The Mystery Behind Free Resolutions, Tyler Trujillo

McNair Scholars Research Journal

No abstract provided.