Physical Sciences and Mathematics Commons^™

Synthesis Of Novel Chromenone Esters For Biochemical Assays, Andrew Dean Helmerich

Undergraduate Honors Thesis Collection

This project details the synthesis of a variety of novel chromenone esters to be used as enzymatic probes. A robust, initial library of 22 chromenone esters was successfully synthesized with differences in chain length, branching, and the incorporation of cyclic and heteroatomic moieties. These new chromenones were fully characterized by 1HNMR, 13CNMR, DEPT HRMS, 19FNMR, and HSQC. The utility of these compounds comes from the fact that they will fluoresce upon cleavage of the ester; thus, this property makes them ideal candidates to be used in the monitoring of enzymatic activity of esterases. Elucidating the enzyme-substrate structure activity relationship (SAR) …

From Crisis To Prevention: Mining Big Data For Public Health Insights During The Flint Water Crisis, Charles Knoble, Gift Fabolude, Anvy Vu, Danlin Yu

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

This study investigates the utility of Google Trends and Google Search data in retrospectively analyzing the Flint Water Crisis, a significant public health event. By examining keywords relevant to the crisis, such as “lead,” “bottled water,” “water filters,” “pneumonia,” and “Legionnaires’ Disease,” we aimed to uncover patterns in public awareness and response during a public crisis and explore how such awareness and responses could potentially aid in reducing the risk of similar crises in the future. Our analysis reveals a clear correlation between search frequencies and the crisis timeline, with spikes in search terms corresponding to key events. This suggests …

Thermal Anharmonicity Of Transition Metals: A Case Study Of Tantalum, Bimal K C

Open Access Theses & Dissertations

Density functional theory (DFT) is commonly used for evaluating the thermal propertiesand equation of state of solids, usually within the quasi-harmonic approximation (QHA). In transition metals, thermodynamic quantities such as the thermal pressure and Gruneisen parameter are poorly reproduced compared with experimental values or with direct computational methods like quantum-molecular dynamics (QMD) simulations. Surprisingly, there has not been to date, a systematic study aimed at understanding the reasons for these discrepancies. Using Tantalum as a case study, we have evaluated the temperature dependence of the phonon frequencies employing Harmonic Ensemble Lattice Dynamics (HELD) combined with classical and quantum molecular dynamics. …

Effect Of Integrated Crop–Livestock Systems On Soil Properties And Microbial Diversity In Soybean Production, Namita Sinha, Brett R. Rushing, Aniruddha Acharya, Shankar Gaapathi Shanmugam

Faculty Publications - Biological Sciences

Integrated crop and livestock systems (ICLSs) have been considered an important management-based decision to improve soil health by carbon sequestration. A two-year study (2019–2021) at CPBES in Newton, MS, was conducted to evaluate the effect of an ICLS on soil microbial diversity in the southeastern region of the USA, representing agroclimatic conditions that are warm and humid. Amplicons targeting bacterial 16S rRNA genes and fungal ITS2 regions were sequenced. Taxonomic assignment and characterization of microbial diversity were performed using QIIME2®. Soil fungal diversity pattern showed significant difference (alpha diversity, p = 0.031 in 2020 and beta diversity, p = 0.037 …

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Citizens’ Perceptions Of Wetlands Before And During The Restoration Of A Local Wetland, Delaney Ringgold

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

This study investigates the impact of a wetland restoration project on homeowners' perceptions and knowledge of wetlands in a residential area in Fayetteville, Arkansas. The research employs a pre- and during-restoration survey methodology to assess shifts in public perception and awareness of wetland environments. As part of the restoration project, native vegetation was reintroduced, and non-native species were removed, with the goals of ecological enhancement and improving the visual appeal of the wetland area. Surveys, consisting of Likert-scale questions and open-ended responses, were administered to homeowners before and during the restoration process to capture changes in demographic factors, wetland knowledge, …

Analyzing Food Sources And Food Insecurity Of Kichwa Farming Families In The Ecuadorian Amazon, Reina Watanabe

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

While the right to food is internationally recognized and the United Nations established the sustainable development goal to end hunger and achieve food security by 2030, many households remain without consistent access to food in 2024. In Latin America, approximately 4 in 10 households were reported as food insecure in 2020 with higher rates in rural and indigenous communities. Rural areas, which have great overlap with indigenous communities in Ecuador, experience disproportionately high levels of poverty and food insecurity compared to urban areas. The most populous indigenous nationality in the Ecuadorian Amazon and the participants of this study are the …

Impact Of Water Ionic Chemistry On Kombucha Fermentation, Katherine A. Thompson-Witrick, Olivia Sundman, Sadie Disselkoen, Nicholas Hanson, Cheyenne Butler, Victoria Jordan, Ian Galbraith, Jada Spake, Seiler Pollock, Drew M. Budner

Chemistry

Kombucha is made by using a symbiotic culture of bacteria and yeast (SCOBY) to ferment sweetened tea. This fermentation produces a beverage with a unique aroma and acidic flavor. Kombucha has recently gained popularity in the United States and has been reported to have numerous health benefits. While there is a wide variation in kombucha composition, little is known about the impact water’s chemistry has on the fermentation and the resulting kombucha. Brewing water for kombucha was altered using the following ions: bicarbonate, chloride, calcium, magnesium, and sulfate at different concentrations. Pre-(tea) and post-(kombucha) fermentation (kombucha) products were analyzed for …

Use Of Equine H3n8 Hemagglutinin As A Broadly Protective Influenza Vaccine Immunogen, David Verhoeven, Brett A. Sponseller, James E. Crowe, Sandhya Bangaru, Richard J. Webby, Brian M. Lee

Chemistry

Development of an efficacious universal influenza vaccines remains a long-sought goal. Current vaccines have shortfalls such as mid/low efficacy and needing yearly strain revisions to account for viral drift/shift. Horses undergo bi-annual vaccines for the H3N8 equine influenza virus, and surveillance of sera from vaccinees demonstrated very broad reactivity and neutralization to many influenza strains. Subsequently, vaccinating mice using the equine A/Kentucky/1/1991 strain or recombinant hemagglutinin (HA) induced similar broadly reactive and neutralizing antibodies to seasonal and high pathogenicity avian influenza strains. Challenge of vaccinated mice protected from lethal virus challenges across H1N1 and H3N2 strains. This protection correlated with …

A Day In The Badlands: A 52 Million-Year-Old Safari Adventure, Devra Hock-Reid, Judy Diamond, Jenn Paul

Zea E-Books Collection

with Amy Chew, Christopher Gilbert, Ross Secord, and Stephen Chester

Illustrations by Jenn Paul • Book design by Aaron Sutherlen

About the Badlands Fossils -- This story tells about the fossils of ancient animals found in the Wind River and Bighorn basins of Wyoming. Wyoming’s rich fossil record tell us about amazing animals from millions of years ago. About 66 million years ago, an asteroid slammed into the Earth, causing devastating changes that led to the extinction of dinosaurs. As the planet began to recover, it was much warmer than today, allowing palm trees and other tropical plants to grow …

Gamified Learning: Applying Game Design Thinking In Education, Qiaoxin Deng

ART 108: Introduction to Games Studies

Gamification is an Education Strategy It has gained popularity in recent years. Gamification is a means to foster student engagement and improve their learning journeys. It's about applying game design elements in non-game contexts. This is primarily used in educational settings. Gamification of learning makes it more engaging and fun by introducing rewards, challenges, and competition. By adding rewards, challenges, and competition, gamification makes learning more interesting and interactive (2020).In this essay, I will be discussing the concept of gamification. Its advantages and disadvantages will be explored. It will also give examples, including Duolingo and Quizlet, to illustrate how it …

The Evolution And Preservation Of Video Games: An Artistic And Cultural Journey, Dhru Fuletra

ART 108: Introduction to Games Studies

From the first time I held a game controller, video games have been a fundamental part of my life. They started as simple, pixel-filled adventures on early consoles and have grown into the vast, immersive worlds we explore on today’s advanced systems. For me, they’ve always been more than just a way to pass the time; they’ve been gateways to alternate realities where creativity, interaction, and storytelling seamlessly come together. Over the years, video games have transformed from casual hobbies into intricate cultural phenomena and, importantly, into a recognized art form. In this essay, I contend that video games are …

Valorant's Interlinked To Theory Of Representation (Race And Culture) And Feminist Coflict Theory, Gerald Susanteo

ART 108: Introduction to Games Studies

A brief introduction to Valorant to new ears and eyes is that Valorant is a video game and what I will be calling a media that was released by Riot Games in 2020, Valorant is a tactical FPS (first person shooter) game that blends strategic gameplay with an immersive sci-fi narrative. The setting of the game takes place in a world destabilized by the mysterious "First Light" event which gives these agents called Radiants their powers and abilities. The game first introduces the organization called Kingdom Corporation as a central antagonist exploiting the Radiants who, like I explained earlier, are …

The Evolution Of Artificial Intelligence In Gaming, Aditi Jorapur

ART 108: Introduction to Games Studies

No abstract provided.

Theoretical Investigation Of Hydrogen Abstraction From Fluorinated Propanones And Fluorinated Propanals, Laurel Washburn

Honors Theses

Per- and polyfluoroalkyl substances (PFAS) are a class of thousands of industrially used compounds often called “forever” chemicals because of their slow degradation process that leads to accumulation in soil, dust, drinking water, and the body. PFAS are used for their grease and water resistance properties but some of these compounds are toxic at extremely low levels. To better understand the effects of these types of compounds, the main pathways of their degradation need to be further investigated. This study analyzes computationally the hydrogen abstraction reactions by both hydroxyl radical and triplet oxygen atom for all possible fluorinated propanones and …

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff

Publications

This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand roll reversals during a single suture. To calculate this metric using computer vision, we apply a deep-learning algorithm that can reliably estimate hand roll angles after training on suturing videos collected on the SutureCoach simulator. Results show that the estimation accuracy of the deep-learning algorithm is robust to different video backgrounds. The number of rolls metrics were used to analyze suturing performance in the …

Testing For Patterns Of Deformation From The Yellowstone Hotspot Along The Gallatin River, Sw Montana, Jack Willard

All Graduate Theses and Dissertations, Fall 2023 to Present

Yellowstone has fascinated humans for thousands of years. Geologists have addressed many of the region’s mysteries, including the underlying mantle hotspot, the chain of calderas tracking the motion of the North American Plate over this hotspot, and the risks posed by the super volcano. However, the way that the hotspot impacts regional tectonics and topography remains under-studied. Influential previous work recognized the Yellowstone Crescent of High Terrain (YCHT), an arc of high topography around the Yellowstone Plateau with limbs extending to the west and south into central Idaho and northern Utah. The YCHT is also hypothesized to be the pattern …

Constraining Decadal-Scale Erosion And Delivery Of Post-Wildfire Debris Flow Deposits, Casey Langstroth

All Graduate Theses and Dissertations, Fall 2023 to Present

Debris flows generated from wildfire pose significant risk to increased sedimentation to instream river networks, degradation of water quality, and accumulated sediment behind downstream reservoirs. Despite an abundance of research investigating the probability of debris flow generation, the constraints on deposit initial volume, and most recently the initial grain size distribution, there remains a significant knowledge gap in understanding the temporal scale at which debris flows supply sediment to river networks after deposition. To provide reliable estimates of sediment delivery from debris flow deposits over time, two important metrics must be constrained: 1) how does sediment delivery to river networks …

Constructing Qur’An Recitation Classification Using Alexnet Algorithm, Harits Ar Rosyid, Dzulkifli Abdullah, Mohammed S. Alqahtani

Knowledge Engineering and Data Science

The growing demands for accurate and efficient methods in the Qur'an recitation classification highlight the limitations of existing models, particularly in assisting the memorization process. This study aims to address these challenges by implementing the AlexNet Convolutional Neural Network architecture, widely recognized for its effectiveness in image classification, to classify the Qur'an recitations using the Mel Frequency Cepstral Coefficient (MFCC) as the feature extraction method. The research involves several stages, including data collection, preprocessing (audio segmentation by verse), data augmentation, feature extraction, and classification using the AlexNet architecture, followed by performance evaluation. Key results demonstrate that the combination of MFCC …

Gotcha ! This Model Uses My Code ! Evaluating Membership Leakage Risks In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsum Kim, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

Leveraging large-scale datasets from open-source projects and advances in large language models, recent progress has led to sophisticated code models for key software engineering tasks, such as program repair and code completion. These models are trained on data from various sources, including public open-source projects like GitHub and private, confidential code from companies, raising significant privacy concerns. This paper investigates a crucial but unexplored question: What is the risk of membership information leakage in code models? Membership leakage refers to the vulnerability where an attacker can infer whether a specific data point was part of the training dataset. We present …

Chain Of Preference Optimization: Improving Chain-Of-Thought Reasoning In Llms, Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

The recent development of chain-of-thought (CoT) decoding has enabled large language models (LLMs) to generate explicit logical reasoning paths for complex problem-solving. However, research indicates that these paths are not always deliberate and optimal. The tree-of-thought (ToT) method employs tree-searching to extensively explore the reasoning space and find better reasoning paths that CoT decoding might overlook. This deliberation, however, comes at the cost of significantly increased inference complexity. In this work, we demonstrate that fine-tuning LLMs leveraging the search tree constructed by ToT allows CoT to achieve similar or better performance, thereby avoiding the substantial inference burden. This is achieved …

Impact Of Irrigation Systems On Water Use And Water Productivity: A Case Study Using Aquacrop In Khartoum, Sudan, Abdalhakam Almagzoop

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

Water scarcity significantly challenges agricultural productivity in arid regions like Khartoum, Sudan. This study evaluates the impact of three irrigation systems—furrow, sprinkler, and surface drip—on the water use and productivity of sorghum (Sorghum bicolor L.) under different climatic conditions using the AquaCrop model. Simulations were conducted for three representative years: a wet year (2022), a normal year (2015), and a dry year (2018). The results demonstrate that irrigation substantially improved water use efficiency and crop yield compared to non-irrigated (rainfed) conditions. Rainfed crops resulted in lower biomass, harvest index, and yield, particularly in the dry year, highlighting the importance …

Enhancing Water Sustainability In North Africa: Literature Review And Synthesis Of Current Knowledge Gaps In Sudan, Osman M. A. Adam

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

This study delves into the critical role of groundwater in addressing global water challenges, with a focus on the Nubian Sandstone Aquifer System (NSAS) in north Africa. Groundwater constitutes a source of potable water, irrigation, and industrial use, especially in arid regions where surface water is limited. We analyzed the status of water quantity, withdrawals, recharge, and geological characteristics in the NSAS, specifically in Sudan, Egypt, and Libya. Though the NSAS is largely an untapped resource, water withdrawals from the NSAS in Egypt, Sudan, and Libya are projected to increase substantially from 2000 to 2100 due to population growth, with …

Not All Samples Are Created Equal: Task-Aware Informative Sampling And Adaptive Inference For Efficient Edge Ai, Rebati Gaire

School of Computing: Dissertations, Theses, and Student Research

The rapid proliferation of Internet of Things (IoT) devices has resulted in an unprecedented influx of data generated at the edge by billions of sensors. Traditional approaches relying on cloud-based processing are increasingly inadequate due to constraints in bandwidth, latency, and privacy. Edge computing has emerged as a transformative paradigm, enabling real-time data processing and decision-making by decentralizing computation to the edge. While the integration of deep learning into edge environments—termed edge intelligence—promises autonomous and personalized operations, it is hindered by challenges such as limited computational resources, energy constraints, and data redundancies.

This thesis addresses these challenges by presenting three …

Using Symbolic Execution To Analyze The Hardware Tcp Protocol, Nianhang Hu

School of Computing: Dissertations, Theses, and Student Research

As the demand for high performance and flexible networking capabilities increases, the shift from software to hardware implementations of stateful networking functions (such as TCP) is becoming increasingly important. This transition not only enhances processing efficiency in modern networking environments where data transmission rates are rising, but it also reduces the inherent CPU overhead found in software implementations, allowing hardware devices to handle network traffic more efficiently. However, validating the correctness of these hardware designs poses significant challenges due to the complex timing requirements and the vast input space associated with packet-level properties.

The verification of packet-level properties requires coverage …

Harnessing Collective Structure Knowledge In Data Augmentation For Graph Neural Networks, Rongrong Ma, Guansong Pang, Ling Chen

Research Collection School Of Computing and Information Systems

Graph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn representations through recursively aggregating information from each node and its neighbors, are among the most commonly-used GNNs. However, a wealth of structural information of individual nodes and full graphs is often ignored in such process, which restricts the expressive power of GNNs. Various graph data augmentation methods that enable the message passing with richer structure knowledge have been introduced as one main way to tackle this issue, but they are often focused on individual structure features and difficult to scale up with …

Statistics With Actuarial Emphasis, Zachariah Yonker

Honors Projects

This report presents the findings of a survey conducted among members of the Grand Valley State University Dungeons & Dragons Club, focusing on member age, gender, habits, and game preferences. The survey, administered during the Fall 2024 semester, received 31 responses, with 30 being completed and 1 partially finished, representing approximately 25% of active club members. Key findings via the Statistical Analysis System (SAS) include a diverse range of preferences and opinions about Dungeons & Dragons classes, as well as a consensus on the most difficult challenge of the activity in addition to favorite aspects of Dungeons & Dragons.

Basic Safety Message Generation Through A Video-Based Analytics For Potential Safety Application, Abyad Enan

All Theses

With the advancement of modern artificial intelligence techniques, computer vision can play a vital role in enhancing roadway safety by reducing the risk of imminent collisions. To do so, a vision-based safety application is required, where a roadside camera can monitor the roadway traffic and predict potential risks of crashes in real-time. If any risky situation or behavior is observed that may lead to a crash, then a safety application can send warnings to the vehicles at risk. For vision-based safety applications on a roadway section, it is important to accurately monitor each vehicle’s location, speed, acceleration, heading direction, etc. …

Exploiting Randomness In Secret Sharing, Cailyn Bass

All Theses

Shamir's (k,n)-threshold scheme is a method for sharing a secret among n participants such that any group of k or more participants can recover the secret. Additionally, any group of participants with size less than k should learn nothing about the secret. The scheme works by distributing a share to each participant, where each share is a linear combination of the secret and k-1 random symbols. This allows any group of k or more participants to solve a linear system to compute the secret. Any group of less than k participants does not have enough to determine anything about the …

Informing Management Of American Shad (Alosa Sapidissima) In The Carolinas: Evaluating Novel Fish Passage Approaches And Acoustic Tracking Methods, Margaret Gaither

All Theses

Acoustic telemetry is a valuable tool for fisheries scientists to study the movements and migratory behaviors of aquatic organisms. A critical assumption of this method is that tagged fish exhibit similar behaviors and survival rates as their untagged counterparts. To investigate this, we conducted a 12-week laboratory study on adult American Shad (Alosa sapidissima) using gastroesophageal insertion of acoustic transmitters. We implanted 80 fish with dummy transmitters and monitored tag retention and survival. Our analysis, employing a mixed effects Cox’s proportional hazards model, revealed no significant differences in survival between tagged and control fish, regardless of sex. Additionally, …