Physical Sciences and Mathematics Commons^™

Progress Toward The Synthesis Of Pyridine-Containing Macrocycles Using Dynamic Alkyne And Olefin Metathesis, Stephen Kwas , '25

Senior Theses, Projects, and Awards

Tubular structures are ubiquitous in nature and possess functions ranging from the structural ones played by microtubules to transporting necessary ions across cell membranes by membrane proteins. In addition, the excellent electronic and structural properties of carbon nanotubes have made them of great interest to chemists. Yet, the functionalization of these nanotubes is hindered by unselective post-modification, often requiring harsh reaction conditions. As such, the assembly of macrocycles into nanotubular structures has been widely studied by chemists. One such way to make these materials is by using dynamic, reversible reactions to synthesize pyridine-containing macrocycles in high yields. Due to inherent …

Evaluating Anambra State's Readiness And Willingness For A Subnational Carbon Market For Climate Change Mitigation And Sustainable Development, Ojiako Godfrey Ogbo, Uchenna Cynthia Okonkwo

Applied Environmental Research

Climate change necessitates innovative strategies, with carbon markets emerging as a key tool for mitigation. This study assesses the readiness and willingness of stakeholders in Anambra State to engage in a subnational carbon market. Using a structured questionnaire distributed across government, industry, and academia, the data were analyzed through descriptive statistics, Pearson correlation, and multiple regression analysis. The findings indicate a moderate level of readiness (M = 3.47) and willingness (M = 3.48) among stakeholders. Correlation analysis revealed a significant alignment between composite willingness indicators and direct willingness to participate (r = 0.406, p = 0.004) but a weak and …

Influence Of Crabgrass Root Exudates On The Hydrocarbons Degrading Microorganisms In Crude Oil Contaminated Soil, Sinha Changsiriwatana, Kwang Mo Yang, Toemthip Poolpak, Prayad Pokethitiyook

Applied Environmental Research

Understanding plant‒microbial interactions in petroleum-contaminated soil is critical for enhancing phytoremediation technology. In this study, the root exudate of crabgrass (Digitaria ciliaris) was collected hydroponically, and its dominant composition was identified via GC‒MS. A soil microcosm study was subsequently conducted to evaluate the influence of crabgrass root exudates on microbial growth, dehydrogenase activity, and biodegradation of total petroleum hydrocarbons by the petroleum-degrading bacteria Micrococcus luteus WN01 and Acinetobacter lwoffii A07. The amendment of crabgrass root exudates significantly promoted microbial degradation in both A. lwoffii A07 (47.98%) and M. luteus WN01 (62.78%), which were 8.47% and 15.78% greater than …

Investigation And Health Risk Assessment Of Indoor And Outdoor Nitrogen Dioxide At Preschools In Haze Areas Of Lampang Province And Industrial Areas Of Rayong Province, Thailand, Susira Bootdee, Sawaeng Kawichai, Suganya Phantu, Sopittaporn Sillapapiromsuk

Applied Environmental Research

Nitrogen dioxide (NO2) is a major indoor air pollutant and a significant ambient air contaminant associated with health effects, especially for students and teachers who attend schools in the areas of traffic, roads and industry. This study aims to assess the impacts of NO2 exposure on the health of students in haze and industrial areas from November 2023 to March 2024. Researchers utilized tube-type passive samplers to collect indoor and outdoor NO2 samples, which were subsequently analyzed via spectrophotometry. The results revealed that the weekly mean indoor and outdoor NO2 concentrations in the haze areas (HA1–HA5) ranged between 4.4–29.0 and …

Macroplastic Characteristics And Assessment Of The Plastic Abundance Index (Pai) Of Beach Sediments In Prigi Bay, East Java, Indonesia, Adinda P.A. Nevandhra, Seftiawan S. Rijal, Syarifah H.J. Sari, Defri Yona

Applied Environmental Research

Macroplastics, defined as plastic debris ranging from 2.5 to 100 cm, pose significant threats to aquatic ecosystems, as they can breakdown into smaller particles. These materials are widely dispersed across marine environments, including coastal areas. This study aimed to compare and assess the abundance of macroplastics in the foreshore and backshore zones of four beaches around Prigi Bay, East Java, Indonesia, via the plastic abundance index (PAI). Macro-plastics were collected via a 5×5 m quadrat transect method. The results revealed that single-use plastics, particularly packaging and sachets, dominated both zones, accounting for 86% and 91% of the total number of …

Applying Radom Forest And Support Vector Machine For Land-Use Classification In Phu Giao District Vietnam, Trong Dieu Hien Le, Linh Truong Vinh

Applied Environmental Research

Machine learning algorithms are currently widely used to classify satellite images to create surface maps of the earth. Support vector machines (SVMs) and random forests (RFs) are more effective ML algorithms and more accurate classifications than other methods. The aim of this study is to analyze the performance of these two algorithms in land-use and land cover classification. For this purpose, the Landsat 8 OLI satellite image freely provided by the United States Geological Survey (USGS) was used to classify land use in the Phu Giao District, Binh Duong Province, Vietnam, where forestland is being strongly converted into rubber plantations …

The Use Of Machine Learning Algorithms For Water Quality Index Prediction In The Sai Gon River, Vietnam, Thuy Nguyen Thi Diem, Mai Nguyen Thi Huynh, Tra Tran Quang

Applied Environmental Research

Accurate prediction of the water quality index (WQI) lays the groundwork for integrated river basins and sustainable water resource management. Recent and accelerated advances in machine learning have led to various promising applications in water quality assessment. The present study leverages the predictive performance of several ML algorithms, including extreme gradient boosting (XGB), the gradient boosting model (GBM), support vector regression (SVR), and the radial basic function (RBF), to predict the WQI at three monitoring sites on the Sai Gon River from 2015–2019. In comparison, the results indicate that the XGB model outperforms the other models when eight parameters, including …

Jack Reacher And The Deployment Of An Airbag, Gregory A. Dilisi, Richard A. Rarick

2025 Faculty Bibliography

No abstract provided.

Evaluation Of The Maneuverability Of An 85m Fishing Trawler (Focusing On Dynamic Stability), Chun-Ki Lee, Su-Hyung Kim

Journal of Marine Science and Technology–Taiwan

Most fishing vessels are less than 100 meters in length, so IMO maneuverability standards do not apply. As a result, studies on the maneuverability of fishing vessels are considerably fewer compared to those on merchant ships. However, with technological advancements, the size of fishing vessels continues to grow, and as more fishermen are on board, accidents could lead to fatal casualties. In response, the authors determined that research on the maneuverability of fishing vessels is urgently needed. Thus, the authors conducted a maneuverability evaluation on a fisheries training vessel with the hull shape of a fishing trawler, 85 meters in …

A Hybrid Image Filtering Approach For Improving Edge Detection Of Riverbed Particles With Complex Textures, Po-Wei Lin, Hsun-Chuan Chan

Journal of Marine Science and Technology–Taiwan

The distribution of particle size in gravel-bed rivers affects the flow condition, sediment transport, and river morphology. However, conventional particle size analysis is laborious and time-consuming. To enhance the efficiency of particle size analysis, image-based methods have been widely explored, but complex particle textures increase the difficulty in identifying particle edges during image analysis. This study develops a filtering approach based on the rolling guidance filter and leverages the differences in grayscale gradients between particle edges and textures to design a guidance image tailored for the rolling guidance filter. This design enables the filter to preserve particle edges while smoothing …

Comparison Of Canopy Materials To Improve The Performance Of Sea Anchors Used For Fishing Operations, Namgu Kim, Su-Hyung Kim, Yoo-Won Lee, Kyung-Jin Ryu

Journal of Marine Science and Technology–Taiwan

Sea anchors used for fishing operations help improve catch rates by stabilizing vessel drift speeds to match tidal or ocean currents. The underwater resistance experienced by a sea anchor's canopy significantly impacts its performance, yet there has been limited research on canopy materials. This study investigates how different canopy materials can enhance sea anchor performance. Specifically, we tested sea anchors made from three fabrics: the currently used polyamide (PA) material, PA material with increased yarn density in the weft direction, and polyester (PES). Using Korean national standards, we compared the yarn density, weight, water absorption capacity, drying rate, air permeability, …

Research On Ship Track Prediction Based On Ipso-Cnn, Xiangen Bai, Nuo Chen, Xiaofeng Xu

Journal of Marine Science and Technology–Taiwan

With the rapid development of the global economy, international imports and exports have become increasingly important. Timely and effective tracking and prediction of ship trajectories are important in the face of complex maritime traffic. Based on AIS data, this study establishes a ship trajectory prediction model combining improved particle swarm optimization (IPSO) and a convolutional neural network (CNN) that uses the ship's historical navigation trajectory data to predict the future navigation trajectory. The historical ship trajectory data of the Port of Ningbo-Zhoushan were selected for the experiment, and the IPSO-CNN model experiment results were compared with those of other models. …

40 Years Passing By In (A) “Heartbeat”, Christopher Janney

Monsoon: South Asian Studies Association Journal

This article outlines the forty-year history go Christopher Janney’s iconic performance work “HeartBeat.” Trained as an architect and jazz musician, Janney combines these two disciplines to create large interactive light/sound installations and performances. On the one hand, he attempts to make architecture more like music, more “alive” using real-time sensing devices as on his “Harmonic Convergence” installation on the Miami International Airport. On the other hand, he attempts to make music more like architecture, more physical more visual. In his “HeartBeat” performance, a dancer wears a heartbeat device that amplifies his/her heartbeat in “real time.” Over this pulse, live musicians …

Yoga Sūtra Book Four And The Yogabindu, Christopher Key Chapple

Monsoon: South Asian Studies Association Journal

Four themes from the fourth pāda of Patañjali’s Yoga Sūtra are examined here: karma (IV:2-13), individuality (IV:16), humility (IV:20-22), and freedom (IV:29-34). Affirmations and variant interpretations of these four are provided from Haribhadra Virahāṅka’s Yogabindu, most likely composed a century or two later.

Collective Karma: From The Yogasūtra To Taylor Swift, Zoë Slatoff

Monsoon: South Asian Studies Association Journal

The Indian knowledge traditions speak at length about karma, which is divided into three categories—accumulated (saṃcita), ripe (prārabdha), and future (kriyamāṇa). While much is said about our individual karma and how it affects our repeated reincarnation in cyclic existence, how does this affect others and how do others affect us? In other words, as this paper explores, what is our reciprocal and collective karma?

Painting Liberation: A Visual Ontology Of The Interplay Of Mind And Consciousness In Book Four Of The Yoga Sūtras, Melissa Townsend

Monsoon: South Asian Studies Association Journal

This presentation explores how artistic practice can illuminate philosophical questions about the nature of mind, consciousness, and liberation as articulated in Book Four of the Yoga Sūtras of Patañjali. Through a series of paintings that visually translate these sūtras, I propose that art offers a unique, experiential means of engaging with the complex relationship between citta (mind) and puruṣa (consciousness).

The paintings function as a form of “visual ontology,” inviting viewers to engage with abstract philosophical concepts in a sensory, tangible way. By depicting the interplay between the mutable processes of the mind and the unchanging awareness of consciousness, these …

Runner Locating With Multiple Probes, Kola Akinrele, Axel Brandt, Elizabeth Breen, Catherine Erbes, Matthew Lee, Patrick O’Doherty, Weston Rainer

2025 Faculty Bibliography

In the runner locating variation of cops and robbers on a graph, a chaser attempts to locate an invisible runner by probing a single vertex v each turn, from which the chaser learns the runner’s distance. The runner is then permitted to stay at his current vertex or move to an adjacent vertex other than v. A graph is locatable if the chaser is able to locate the runner in a finite number of turns, and the location number of a graph is the minimum number of turns necessary to determine the runner’s location regardless of the runner’s evasion strategy. …

Computer Science For Middle School (Cs4ms), Melani Loney, Lisa Steffian, Tancy J. Vandecar-Burdin

Center for Educational Partnerships Publications

This session will discuss the project Computer Science for Middle School and the associated findings. This Virginia Department of Education funded project provides computer science Professional Development opportunities for in-service teachers, located in Southeastern Virginia, who instruct students in middle school grades 6- 8. Participating teachers learn to integrate computer science standards into core and elective content through online, asynchronous microcredentials and in-person Summer Workshops. The presentation will include project findings and next steps including teacher efficacy for implementing the computer science standards before and after completing the microcredentials and their students’ attitudes about computer science.

Error In The Loop: How Human Mistakes Can Improve Algorithmic Learning, Ryan W. Copus, Cait Spackman, Hannah Laqueur

Faculty Works

Algorithms often outperform humans in making decisions, in large part because they are more consistent. Despite this, there remains widespread demand to keep a “human in the loop” to address concerns about fairness and transparency. Although evidence suggests that most human overrides are errors, we argue these errors can provide value: they generate new data from which algorithms can learn. To remain accurate, algorithms must be updated over time, but data generated solely from algorithmic decisions is biased, including only cases selected by the algorithm (e.g., individuals released on parole). Training on this algorithmically selected data can significantly reduce predictive …

Vanishing Of Local Cohomology With Applications To Hodge Theory, Scott Hiatt

Mathematics Faculty Publications

Let H = ((H, F •), L) be a polarized variation of Hodge structure on a smooth quasi-projective variety U . By M. Saito’s theory of mixed Hodge modules, the variation of Hodge structure H can be viewed as a polarized Hodge module M ∈ HM (U ). Let X be a compactification of U , and j : U ↪→ X is the natural map. In this paper, we use local cohomology with mixed Hodge module theory to study j+M ∈ DbM HM (X). In particular, we study the graded pieces of the de Rham complex GrF p DR(j+M) …

Consequences Of Fire And Grazing To Conservation Of Arthropod Functional Diversity In A Protected Afrotropical Savanna, Ludzula Mukwevho, Tatenda Dalu, Mduduzi Ndlovu, Frank Chidawanyika

All Peer-Reviewed Publications

Fires and grazing disrupt the diversity and composition of biological organisms and their functions in the savannas. In the current study, we assessed the impact of fire and grazing intensities on the abundance, species richness and assemblages of eight functional groups of arthropods in Kruger National Park. Pitfalls and active searches were used to collect arthropods at the experimental burnt plots (EBPs) and grazed plots that were undisturbed, minimally or heavily disturbed in Mopane and Skukuza regions. Omnivores constituted the highest proportion (40 %) of individuals, whilst detritivores, granivores, hematophagous, herbivores, nectarivores, predators and scavengers constituted between 0.5 % and …

How Artificial Intelligence Will Shape Securities Regulation, Gabriel Rauterberg

Other Publications

How will the increasing prevalence and sophistication of artificial intelligence (AI) change the doctrine and practice of securities law? My main thesis is that it will push securities regulation toward a more systems-oriented approach. This approach will replace securities law's emphasis, in areas like manipulation, on forms of enforcement targeted at specific individuals and accompanied by punitive sanctions with a greater focus on ex ante rules designed to shape an ecology of actors and information.

Transformative Impact Of Ai And Digital Technologies On The Fintech Industry: A Comprehensive Review, Soudeh Pazouki, Behdad Jamshidi, Armia Jalali, Arya Tafreshi

Finance Faculty Publications

This paper examines the impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry and demonstrates how AI- enabled strategies are increasing the ability of businesses not only to grow, but also to better serve their customers through operational efficiencies. But as immersive as the technological advancements may be, they present challenges in connection with increasingly complicated licensing regulations and a constantly evolving technological landscape. We examine the way AI and algorithms are streamlining workflows, enhancing productivity and expanding access to financial resources for traditionally under – served populations. The paper also discusses the macroeconomic implications …

Navigating Wastewater: Minnesota Mining Wastewater Permit Challenges And Evolving Compliance Standards, Madelaine Adamich

Journal of Earth and Life Science

February of 2021 marked the beginning of Minnesota clearly establishing that groundwater qualifies as a Class 1 water in a legal battle involving United States Steel, the Minnesota Pollution Control Agency, WaterLegacy, Fond du Lac Band of Lake Superior Chippewa, the Minnesota Court of Appeals, and eventually the Minnesota Supreme Court (MNSC). Minnesota has a water classification system, as required by the federal Clean Water Act, with 7 classes of use. Class 1 waters are waters used for domestic consumption (MPCA 4, n.d.). According to Minnesota Statute § 7050.0220, the acceptable level for sulfate is 250 mg/L in Class 1 …

Aquatic Invertebrate Populations In Roadside Wetlands In Relation To Water Characteristics, Ellen P. Isakson

Journal of Earth and Life Science

The continual habitat destruction and draining of wetland systems makes the need to understand the ecology of roadside wetlands all the more necessary. Roadside wetlands provide valuable habitat to countless aquatic invertebrates, which can provide insight into the health of the wetland system due to their diversity. The objective of this study was to analyze the populations of aquatic invertebrates in roadside wetlands in relation to water characteristics such as pH, salinity, conductivity, water depth and temperature, and dissolved oxygen. This was done by collecting samples of invertebrate populations from roadside wetlands, in addition to data on water quality characteristics …

Capturing High-Impact Weather In A Fine-Scale Climate Simulation Using The Model For Prediction Across Scales - Atmosphere (Mpas-A) V 7.0, James George Digilio Jr.

Graduate Research Theses & Dissertations

The research a long-term, high-resolution (15-km) global simulation using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 7.0, a community atmospheric modeling platform with unique capabilities for weather and climate research. This simulation spans 30 continuous years, covering water years 1990 through 2019 (i.e., 1 October 1989–30 September 2019) and is initialized with the European Centre for Medium-Range Weather Forecasts Reanalysis v5 (ERA5). Sea surface temperatures and sea ice are prescribed and updated daily using the fine-scale (0.05°) Operational Sea Surface Temperature and Ice Analysis (OSTIA). To date, this is one of the few high-resolution MPAS-A simulations at …

Usu Extension Sustainability Permaculture Initiative: 2025 Impact Report, Natalia Bustos, Roslynn Brain Mccann, Jake Powell

Extension Research

• Permaculture Statistics
• Harvest Donations (Organic)
• Participant Response
• 2025 Monthly Educational Events
• Publications
• USU Extension Workshops & Events

Examining Short Term Drainage Impacts To Soil Health In Hydric And Non-Hydric Soils Of Waseca County, Minnesota, Ely Hartl

All Graduate Theses, Dissertations, and Other Capstone Projects

Subsurface drainage is implemented throughout the Midwest United States to remove excess moisture from soil to enhance crop growth. Hydric soils are ubiquitous throughout Minnesota and are commonly drained due to their historically saturated conditions. Changing a soil's hydrology can impact its formation and properties. The alteration of physical, biological, and chemical soil properties can occur to both hydric and non-hydric soils, impacting overall soil health. The purpose of this study is to examine the short-term effects of tile drainage on the soil health of hydric and non-hydric soils in southern Minnesota. Research methods include: 1) collect soil-sediment cores to …

Hydrogen Peroxide Production From Light-Driven Water Oxidation Via Nickel Oxide-Titanium Dioxide Heteronanocrystals, Mahfuz Ahammed Swadhen

Dissertations and Theses

High dependence on fossil fuels for energy carries risks for the environment, health, energy, and geopolitical stability. One of the solutions to address this is solar energy utilization, and the use of semiconductors for photocatalytic water splitting is a tantalizing prospect. An n-type semiconductor TiO2 combined with p-type NiO producing a heteronanojunction shows effective light-driven oxidation of H2O into H2O2. We developed a synthetic method to attach NiO nanoparticles on the surface of anatase TiO2 nanorods. We characterized the materials with UV-visible spectroscopy, powder X-ray diffraction, and electron microscopy. We immobilized the HNCs on fumed silica and removed organic surfactants …

Beyond Homogeneity: Exploring Causal Heterogeneity In Psychopathology, Philip B. Vinh

Theses and Dissertations

Traditional models in psychiatric research often impose assumptions of causal homogeneity, treating population-level associations as reflective of uniform underlying mechanisms. This dissertation challenges that assumption by introducing statistical and machine learning frameworks designed to detect and model causal heterogeneity in the development of psychopathology. Central to this approach is the advancement of finite mixture structural equation modeling (FM-SEM) to identify latent subgroups characterized by distinct, and sometimes opposing, causal pathways.

The dissertation comprises three integrated empirical studies. The first introduces mixDoC, a finite mixture extension of the classical Direction of Causation (DoC) model applied to twin data, enabling the detection …