Digital Commons Network^™

Study On Motion Prediction Analysis Of Large Vessels Entering Kaohsiung Port Second Harbor, Li-Heng Cheng, Hsing-Yu Wang

Journal of Marine Science and Technology–Taiwan

Pilotage is a primary service offered by ports, ensuring the safe passage of entering and exiting vessels. This study applied motion prediction analysis to large vessels navigating the constrained waterways of Kaohsiung Port’s second harbor. To address the needs of pilots and port operators, a simplified planar motion equation was developed that incorporated speed over ground and rate of turn (ROT) as primary variables. The model relied on inputs of limited navigational data, enabling pilots to predict changes in heading and position over time and determine the conditions for safe harbor entry. Vessel paths and turning angles were analyzed to …

Modeling Wild Rice Bed Health: A Dual Metric Approach For Bed Strength And Invasive Impact, Seth Sisneros-Martinez

Journal of Earth and Life Science

Wild rice (mannoomin; Zizania palustris) is an aquatic grain that grows in slow-moving rivers and shallow bays throughout northern Minnesota. In Headquarters Bay on Leech Lake, wild rice has served as a cultural staple for Indigenous communities for centuries. However, its population has declined in recent years due to multiple environmental issues. One potential contributor is Eurasian watermilfoil (Myriophyllum spicatum; EWM), an invasive species that forms dense mats capable of outcompeting native aquatic vegetation, including wild rice. EWM was first recorded on the southern shoreline of Leech Lake in 2005 and has since become widespread. This study …

Force Of Nature (2024) By Ann E. Burg, Maughn Rollins Gregory

Middle Grades Books

Rachel Carson launched the modern environmental movement with books that combined detailed observations of the natural world, scientific research, and philosophical reflection on humanity’s relationship with nature — all conveyed in poetic language. Ann E. Burg’s fictional biography-in-verse Force of Nature shows how these habits of observation, questioning, reflection, and expression began in Carson’s childhood, and invites readers to follow her lines of inquiry. Can we provide for human well-being without sacrificing the well-being of non-human life? Can we provide for the well-being of certain human populations without sacrificing the well-being of others? Can we indulge our wonder about, and …

Citizen’S Rare Plant Watch, Nora Dunkirk, Gabriel Campbell, Kris Freitag

Rae Selling Berry Seed Bank and Plant Conservation Program

Rare species data for plants is lacking, hindering land management decisions and conservation outcomes. With Citizen's Rare Plant Watch, we empower citizen scientists to provide the “eyes on the ground” and collect data needed for conservation decision making in Oregon.

Seedlings Of Pacific Northwest Plants: A Photographic Guide, Gabriel E. Campbell-Martinez, Roxy Olsson

Rae Selling Berry Seed Bank and Plant Conservation Program

This document presents a visual, non-technical field guide of native and exotic/invasive seedlings that grow wild in the Pacific Northwest. It contains over 550 taxa representing a broad range of families and ecosystems, focusing on species that occur in Oregon and Washington. Species were selected to reflect ecological importance, frequency of occurrence, and relevance to land management, restoration, and conservation. It is intended for a broad audience, including restoration practitioners, land managers, botanists, ecologists, students, naturalists, and others interested in identifying plants at early life stages.

Comparative Analysis Of Machine Learning Models For Glioblastoma Survival., Muna Awel

All Graduate Theses, Dissertations, and Other Capstone Projects

Glioblastoma multiforme (GBM) remains one of the most lethal brain tumors, necessitating improved survival prediction models that integrate clinical and molecular data. This study develops a comprehensive machine learning pipeline leveraging TCGA-derived multi-omics datasets to predict binary survival outcomes. The framework integrates four classifiers Logistic Regression, Random Forest, XGBoost, and Support Vector Machine (SVM) and includes rigorous preprocessing with MCAR testing, KNN imputation, feature scaling, and hyperparameter optimization via GridSearchCV. SMOTE was applied to mitigate class imbalance and enhance model robustness for minority survival classes. Comparative performance analyses revealed Random Forest and XGBoost as top performers, achieving the highest recall …

Identifying The Constituents Of Pyrolysis Oil Using Supercritical Fluid Chromatography- Fraction Collection (Sfc-Fc) And Gas Chromatography- Mass Spectrometry/Vacuum Ultraviolet Spectroscopy (Gc-Ms/Vuv), Sadid Morshed

2025 Fall Honors Capstones Projects - Archive

Plastic waste continues to accumulate as production increases and disposal methods remain insufficient. Even with recycling programs in place, much of the discarded plastic still ends up in landfills or waterways, eventually breaking down into harmful microplastics. One promising solution is the conversion of plastic waste into pyrolysis oil, which can also serve as an alternative feedstock for chemicals. Pyrolysis oil is produced by heating plastics to approximately 800 °C in the absence of oxygen, resulting in a complex mixture of hydrocarbons that includes paraffins, isoparaffins, olefins, naphthenes, and aromatics. Analyzing the amount of oxygen, nitrogen, and sulfur in these …

The Effect Of Zebra Mussels On Minnesota Fish Communities, Benjamin D. Strei

Journal of Earth and Life Science

Zebra mussels Dreissena polymorpha are an aquatic invasive species that has been spreading quickly throughout Minnesota water bodies since 1989. Zebra mussels are known to change certain morphological conditions in lakes such as turbidity, phytoplankton abundance, and aquatic invertebrate populations. However, studies showing impacts of the infestation of zebra mussels on the health of a fish community have been hard to prove due to a lack of repeated surveys and a suite of other confounding variables such as natural and seasonal variability, plant community, and lake morphometry. Therefore, the objective of this study is to determine whether zebra mussels have …

The Impact Of Inter-Subunit Communication On F420h2:Nadp+ Oxidioreductase: A Kinetic Approach, Jamariya A. Howard

Chemistry & Biochemistry Dissertations - Archive

F₄₂₀H₂:NADP⁺ Oxidoreductase (Fno) catalyzes the reversible reduction of NADP⁺ to NADPH using reduced F₄₂₀ as the hydride donor. Both NADPH and the F₄₂₀ cofactor play significant roles in various metabolic pathways, including glycolysis and methanogenesis, particularly in methanogenic and sulfate-reducing archaea. These organisms play an essential role in global carbon cycling by converting carbon dioxide to methane through the methanogenic pathway, which is directly tied to energy production. This thesis investigates the hydride transfer mechanism of Fno from the extreme thermophile Archaeoglobus fulgidus, using fluorescence binding, steady-state and pre steady-state kinetics.

Chapter 1 outlines the structural and spectral characteristics …

Lowering The Barrier For Reading Primary Literature In Stem, Sebastian G. Alvarado, Maral Tajerian

Open Educational Resources

Building Bridges of Knowledge (BBK) is a cross‑CUNY initiative that integrates artificial intelligence (AI) and open educational resources to lower the barrier to primary literature and enhance research‑focused pedagogy. Recognizing that scientific papers are often dense and inaccessible to newcomers, we developed a suite of AI‑assisted instructional materials and activities to help students interpret complex data and methodology. A central component is the use of large language models (LLMs) and tools such as Scite.ai to provide citation‑context analytics and personalized research support. These tools allow students to filter literature by supportive, neutral, or contrasting citation statements and to troubleshoot laboratory …

Covariate Selection For Rna-Seq Differential Expression Analysis With Hidden Factor Adjustment, Farzana Noorzahan, Hyeongseon Jeon, Yet Nguyen

Mathematics & Statistics Faculty Publications

In RNA-seq data analysis, a primary objective is the identification of differentially expressed genes, which are genes that exhibit varying expression levels across different conditions of interest. It is widely known that hidden factors, such as batch effects, can substantially influence the differential expression analysis. Furthermore, apart from the primary factor of interest and unforeseen artifacts, an RNA-seq experiment typically contains multiple measured covariates, some of which may significantly affect gene expression levels, while others may not. Existing methods either address the covariate selection or the unknown artifacts separately. In this study, we investigate two integrated strategies, FSR_sva and SVAall_FSR, …

Movement And Activity Of Burbot, (Mizay; Lota Lota) In A Spring-Fed Minnesota Lake, Abigail M. Fountain

Biology Graduate Theses

Burbot (Mizay; Lota lota) are a relatively unmanaged freshwater fish, important in many local Indigenous cultures, but often overlooked or maltreated in research, conservation, and fishing practices. As such, relatively little research has been conducted on Burbot, despite ecological significance as an indicator species. A recent resurgence in popularity as a target species, however, has prompted new research to inform management policies. The objectives of this study were to summarize Burbot movement by identifying patterns in swimming activity and identify possible predictors of the movement observed. This study investigated the movements of 39 individuals implanted with acoustic transmitters in Bad …

Sptiotemporal Changes In Aboveground Biomass, Canopy Cover And Livestock Movements Across Mongolia Grasslands, Abhinav Chandel

Dissertations and Theses

This study presents an integrated geospatial framework for understanding grassland productivity dynamics and livestock movement behavior across the Mongolian steppe. Mongolia’s grasslands constitute one of the world’s largest pastoral ecosystems, yet they face increasing vulnerability due to climate variability, overgrazing, and land degradation. To quantify vegetation change and grazing responses, this research combines multi-decadal remote sensing with high-frequency GPS-based livestock movement tracking. Using Landsat imagery from 1990 to 2023, Aboveground Biomass (AGB) and Canopy Cover (CC) were estimated through Random Forest regression models integrating key spectral vegetation indices (e.g., NDVI, OSAVI, CTVI, TNDVI, IPVI) and climatic predictors such as summer …

Estimating The Amount Of Carbon Dioxide Gas Removed From The Atmosphere By The Bryant Park Tree Population, Edimarlyn Gonzalez

Open Educational Resources

No abstract provided.

Investigating The Impact Of Pfas Contamination On Mental Health, Jihyun Kim

Open Educational Resources

To explore the intersection of environmental injustice, racial disparities, and public health through an examination of PFAS contamination in drinking water and its impact on communities of color. This study will address environmental, social, and health implications of PFAS exposure, with a specific emphasis on promoting equity and advocating for policy changes to rectify systemic inequalities.

Microsatellites Reveal The Population Genetic Structure Of Yellow Perch In Minnesota, Megan Boche

Journal of Earth and Life Science

When analyzing a population’s genetic makeup, looking at variation of individuals and populations is a crucial factor. The management of yellow perch will be aided by this information particularly in regard to stocking or relocation. Microsatellite loci were used to analyze the genetic population structure of yellow perch Perca flavescens within and among 29 sampling areas throughout Minnesota’s basins. Seven microsatellite DNA loci were evaluated, with heterozygosities ranging from 0.41 to 0.78. The Lower Mississippi basin samples showed higher numbers of alleles per locus and greater expected heterozygosities compared to other basins, with Lake Pepin (PEP) exhibiting the highest average …

Geological And Environmental Sciences - 2025, Dept. Of Geological And Environmental Sciences

Geological and Environmental Sciences News

• Greetings from the Department Chair
• Faculty Updates
• 2025 Geological and Environmental Sciences Department Alumni Achievement Awardee Mr. Thomas Hanna
• 60 Years - Telling Our Story
• Empowering the next generation of geoscientists

Insects, Ai Systems, And The Future Of Legal Personhood, Jeff Sebo

Animal Law Review

This Article makes a case for insect and AI legal personhood. Humans share the world not only with large animals like chimpanzees and elephants but also with small animals like ants and bees. In the future, we might also share the world with sentient or otherwise morally significant AI systems. These realities raise questions about what kind of legal status insects, AI systems, and other nonhumans should have in the future. At present, debates about legal personhood mostly exclude these kinds of individuals. However, I argue that our current framework for assessing legal personhood, coupled with our current framework for …

A Proof Of Np-Completeness For The K-Means Clustering Algorithm, Brooke C. Feinberg

Scripps Senior Theses

The k-means clustering algorithm is one of the most widely used clustering techniques in data analysis and machine learning, yet its exact computational complexity remains subject to ongoing theoretical investiga- tion. This work establishes the NP-completeness of k-means by proving (1) it is NP-hard and (2) it lies in NP. To demonstrate NP-hardness, we construct a series of polynomial-time reductions from well-known NP-complete problems. Specifically, we reduce 3sat to Vertex Cover, and then reduce Vertex Cover to k-means, thereby establishing the computational hardness of the k-means clustering problem. We then prove k-means is in NP, and thus conclude it is …

What Amino Acid Residue Is Responsible For The Interaction Of Atg11 With Its Autophagy Partner Atg9?, Patricia Omoyemwen Woghiren

Senior Honors Theses and Projects

Macroautophagy is a cellular function that involves the formation of a double membrane vesicle that isolates and transports cellular materials to the vacuole or lysosome for degradation and recycling. It is divided into selective and non-selective macroautophagy. Atg11 and Atg9 are two key proteins involved in selective macroautophagy, and their interaction is critical for selective macroautophagy. Specific residues on Atg9 critical for Atg11 binding have been identified, but similar residues on Atg11 have not been identified. The aim of my research was to identify a specific residue critical for Atg11’s interaction with Atg9. To this end, we carried out Yeast-twohybrid …

Application Of Physics-Informed Neural Networks On Crop Yield Prediction At Multiple Scales, Aditya P. Prabhu, Pratishtha Poudel, James V. Krogmeier

Discovery Undergraduate Interdisciplinary Research Internship

Accurately predicting crop yields is a critical challenge in sustainable agriculture, food security, and farm management. Traditional process-based models rely on agronomic domain knowledge, crop physiology and statistical approaches, while purely data-driven approaches leverage machine learning or deep learning models using meteorological and spatial data. Unfortunately, these black-box models(Data-drive approaches) often lack interpretability and fail to incorporate well-established physical principles. This project explores a hybrid approach by implementing Physics Informed Neural Networks, mainly, physics-based recurrent neural networks (PI-RNNs) for time-series yield prediction. PINNs allow for the integration of scientific knowledge directly into the model by embedding physical laws as constraints …

Design And Evaluation Of A Thai Speech Emotion Recognition Corpus With Ambiguous Annotations, Chompakorn Chaksangchaichot

Chulalongkorn University Theses and Dissertations (Chula ETD)

THAI-SER is the first large-scale Thai speech emotion recognition corpus, comprising 41.6 hours (27,854 utterances) from 100 recordings across diverse environments (Zoom and studio). The data includes both scripted and improvised speech by 200 professional actors (112 females, 88 males, aged 18–55), covering five emotions: neutral, angry, happy, sad, and frustrated. Utterances were labeled via crowdsourcing, with rigorous quality control ensuring a majority agreement score above 0.71. Annotation reliability, measured by Krippendorff’s alpha, reached 0.692 (above the 0.667 threshold), and human emotion recognition accuracy reached 0.772 after filtering. We also report benchmark results from models trained and evaluated on both …

Ex Vivo Single-Molecule Analysis Of Ryanodine Receptor 2 Assembly In Cardiac And Neuronal Tissue, Qianye Yin, Christopher I. Richards

Chemistry Faculty Publications

Understanding receptor assembly is critical for elucidating the mechanisms underlying their function and regulation in physiological processes. While traditional in vitro single-molecule studies rely on isolating proteins from heterologous expression systems, they often fail to capture the in vivo physiological complexity involved in the organization and assembly of cell surface proteins. This protocol employs Total Internal Reflection Fluorescence Microscopy (TIRFM) to study GFP-tagged Ryanodine Receptor 2 (RyR2) molecules encapsulated within nanoscale vesicles. These vesicles, generated from organs rapidly extracted from the animal, effectively provide a snapshot of the receptor's assembly state at the time of extraction, enabling detailed analysis of …

Polycaprolactone—Based Block Copolymers For Nanopatterning Oxide Materials Via Sequential Infiltration Synthesis, Sudarshana Patra, Carter Herbert, Lane Nichols, Prachi Sarwara, Uttam Manna, Mahua Biswas

Faculty publications – Physics

Sequential infiltration synthesis (SIS) has emerged as a powerful technique to integrate inorganic materials into polymeric templates for fabricating functional hybrid and inorganic-only nanostructures. While several polymers, including self-assembled block copolymers (BCPs), have been widely used as templates for inorganic and hybrid oxide nanostructures, biocompatible polymers such as polycaprolactone (PCL) have not been explored for nanopatterning. In this work, we investigate SIS in polystyrene-block-polycaprolactone (PS-b-PCL) BCPs to demonstrate the feasibility of PCL as a guiding polymer for selective infiltration of Al₂O₃. Fourier transform infrared (FTIR) spectroscopy confirmed the strong interaction of TMA–H₂O precursors with …

Quantifying And Understanding The Role Of Bias In Astrophysical Data, Joshua A. Osborne

Physics Dissertations - Archive

Astrophysical studies are limited to the data provided. Data which is inherently prone to a range of biases such as: instrumental, selection, and methodological bias. Quantifying these biases and understanding their origin is critical to ensuring that the results we infer are representative of the physical world.

This is true even when attempting to study high-redshift phenomena, such as Gamma Ray Bursts (GRBs). Due to their immense brightness at high redshifts, GRBs serve as a strong candidate for standard candles in high redshift space. Their use as a standard candle, however, requires a precise understanding of observational biases that affect …

Assembly And Testing Of A Closed Cycle Cryostat, Chris Maguire

Science University Research Symposium (SURS)

Closed cycle cryocoolers are commonly used in laboratories as they provide long-term, low-cost, low-maintenance operation. This project covers the assembly and testing of an Advanced Research Systems DE-202 closed cycle cryostat to provide a low temperature apparatus for undergraduate research and advanced laboratory projects. This system is useful for many applications including optics, condensed matter physics, spectroscopy, electrical characterization, microscopy, superconductivity, crystallography, and biological studies.

Cryostat assembly involved research and planning to build a custom frame for the cryocooler, assemble vacuum, water, gas and electrical systems, leak test, and fit components to laboratory utilities. Once setup is complete, the actual …

Utilizing Β-Gal To Visualize Selective Transport Of The Ssa4 Gene In S.Cerevisiae, Ian M. Staertow, Rebecca L. Adams Phd

Science University Research Symposium (SURS)

In eukaryotic cells such as Saccharomyces cerevisiae, protein synthesis begins with the transport of mRNA from the nucleus to the cytoplasm. In order for mRNA to leave the nucleus, it must first bind to specific transport proteins which can then facilitate transport via the nuclear pore complex (NPC), a selectively permeable membrane within the cell's nuclear envelope. Under environmental stress, such as heat shock, S. cerevisiae cells modulate transport rates. In this case, in heat stress or “heat shock” most mRNA transcripts will remain in the nucleus. The SSA4 transcript encodes for a chaperone protein which facilitates the subsequent export …

Teaming With Technology: Adaptive Automation In Joint Cognitive Systems For Industry 5.0, Jessica Johnson

Virginia Digital Maritime Center (VDMC) Faculty Publications

Adaptive automation enables dynamic reallocation of functions between people and autonomous agents to improve performance in complex work. This paper presents a meta-analysis of experimental and quasi-experimental studies (2000-2025) on joint cognitive systems in industrially relevant contexts, quantifying effects on task performance, safety/failure management, workload, trust, and learning. Across studies, adaptive automation reliably reduces operator workload and shows moderate gains in task performance and safety, with healthier trust dynamics when adaptations are triggered by human-state or event cues, made transparent to the user, and remain rapidly overridable. Risks emerge when performance-triggered switching is opaque or poorly timed, which can erode …

Investigating Woody Vegetation Recruitment Post Riparian Enhancement Extraction Along The Baduwa't, Rize Martins De Oliveira, Wiley Hughes, Owen Lenox

Forestry, Fire, & Rangeland Management Senior Capstones

The Baduwa’t River in Humboldt County, California, faces a legacy of channelization, poor land management, and severe flooding that has left high, dry floodplain terraces disconnected from the river and dominated by invasive vegetation. In response to sediment deficits during drought years, Riparian Enhancement Extractions (REEs) were introduced as an alternative gravel mining method that simultaneously presented opportunities for habitat restoration. This study evaluates five REEs along the Baduwa’t to identify the construction features and site conditions that promote successful riparian vegetation establishment. Findings show that REEs can create seasonal wetlands conducive to native riparian habitat reestablishment, when excavation is …

Assessing Understory Along The Elk River (Hikshari') In Headwaters Forest Reserve, Humboldt County, California, Julie R. Meyers, Aliyah M. Ingram, Caleb N. Larkin, Joshua L. Carpenter

Environmental Science & Management Senior Capstones

Northern California’s extensive logging history and lack of forest management has altered old-growth coast redwood (Sequoia sempervirens) forests, leaving dense, homogenous second and third-growth forest stands. This has led to the use of modern restoration techniques such as variable density thinning (VDT) which aims to rehabilitate old-growth forest conditions by improving stand heterogeneity and light availability for understory species. Our study was done in Headwaters Forest Reserve (HFR) along the Elk River (Hikshari’) Trail in Humboldt County, California. Initially, the project was supervised by the Bureau of Land Management (BLM) Arcata Field Office. However, the 2025 U.S. government …