Digital Commons Network^™

Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart

Mathematics & Statistics ETDs

Removal models have long been used to estimate population abundance by progressively capturing and removing individuals from a closed population. These models provide a valuable tool for ecological monitoring, but their accuracy depends heavily on assumptions about detection probability, which may decline over successive sampling passes. Traditional removal models assume constant detection probabilities, an assumption that is often violated in real-world applications. This thesis aims to advance hierarchical Bayesian models by accounting for variable detection probabilities, improving the reliability of abundance estimates and trend detection. By integrating simulation-based analyses with empirical data from Lahontan Cutthroat Trout (Oncorhynchus clarkia henshawi …

Simplifying 3d Printing Using Natural Language Processing, Jared E. Rosenberger

Undergraduate Theses

3D printing is a crucial technology with many applications in different fields. To be able to use this technology to its full extent, expertise in computer aided design (CAD) technology and 3D modeling is required. Many people interested in 3D printing do not have this expertise and thus cannot build custom models, and are consequently forced to buy them instead. Natural language processing (NLP) is one tool that can vastly simplify 3D modeling for those lacking CAD experience. Using NLP, someone can simply dictate what they want to be able to print, and a computer can then build a 3D …

Tiny Creatures, Big Lessons: Using Music Education And Ecoliteracy To Impact Young Learners' Perspectives On Bugs And Nature, Paige Burgess '25

Honor Scholar Theses

This thesis aims to demonstrate that relationships between students and nature can be improved through teaching young learners about music and bugs together, potentially leading to a greater overall love for and willingness to protect nature. The thesis features original teacher action research conducted over multiple weeks in a first grade classroom, with observations and data to support the efficacy of the methods discussed. This thesis analyzes literature that supports how increasing empathy toward bugs at a young age can have tangible benefits for the environment, how ecoliteracy as a framework is an effective means of teaching about nature, and …

The Effect Of Weed Control Using Herbicide On Soil Bacteria, Growth, And Yield Of Sweet Corn, Lafi Na'imatul Bayyinah, Purwanto, Risqa Naila Khusna Syarifah, Rama Adi Pratama, Ida Widiyawati, Hendra

Jurnal Kultivasi

Weeds are managed by herbicides, but this can reduce the abundance of soil bacteria. This research aimed to determine the effect of active compounds of herbicides on weeds, the abundance of soil bacteria, growth and yield of sweet corn. The experiment was conducted from June to October 2023 in the fields and Laboratory of Agronomy and Horticulture, Universitas Jenderal Soedirman, Purwokerto. A randomized block design was used, consisting of eight treatments and four replications. The treatments included control (H0); weeding (H1); paraquat (H2); glyphosate (H3); paraquat, atrazine, mesotrione (H4); glyphosate, atrazine, mesotrione (H5); paraquat, atrazine, mesotrione, nicosulfuron (H6); and glyphosate, …

Highly Regenerable Magnetic Sulfonated Chitosan Crosslinked With Glutaraldehyde Composite Beads (Iron Sand/Naso3-Chi-G) For Aqueous Mercury Removal, Fathurrahmi Fathurrahmi, Rahmi Rahmi, Lelifajri Lelifajri, Anggun Sixthia Wulan Ayu, Muhammad Iqhrammullah

Karbala International Journal of Modern Science

We developed a novel adsorbent from sulfonated, glutaraldehyde-crosslinked chitosan embedded with magnetic iron sand. The adsorbent was synthesized through a two-step process: (1) sulfonation with N(SO₃Na)₃ to introduce sulfonate groups, and (2) crosslinking with glutaraldehyde to enhance structural stability. The optimal formulation, containing 43.5% iron sand and crosslinked with 0.17 M glutaraldehyde, exhibited the highest Hg²⁺ adsorption capacity (30.74 mg/g) at pH 3. The adsorbents were characterized using Scanning Electron Microscopy (SEM), Fourier transform infra-red spectroscopic (FT-IR), and X-ray diffraction (XRD) techniques. Adsorption equilibrium was achieved within 60 minutes, and isotherm modeling showed that the process followed the Freundlich model …

Improved Estimator For Population Mean Utilizing Known Medians Of Two Auxiliary Variables Under Neutrosophic Framework, Rajesh Singh, Shobh Nath Tiwari

Neutrosophic Systems with Applications

In the context of classical statistics, the estimation of the population mean is done with determinate, precise, and crisp data when auxiliary information is available. However, there are instances where dealing with uncertain, indeterminate, and imprecise data in interval form is required. To overcome this issue, Florentin Smarandache introduced neutrosophic statistics as a novel approach. This paper introduces a neutrosophic modified ratio-cum-product log-type estimator for the estimation of the population mean using known medians of two auxiliary variables in the neutrosophic context. The bias and mean squared error (MSE) for the proposed estimators are computed to the first-order approximation. The …

Some Graph Parameters For Superhypertree-Width And Neutrosophictree-Width, Takaaki Fujita, Florentin Smarandache

Neutrosophic Systems with Applications

Graph characteristics are often studied through various parameters, with ongoing research dedicated to exploring these aspects. Among these, graph width parameters—such as treewidth—are particularly important due to their practical applications in algorithms and real-world problems. A hypergraph generalizes traditional graph theory by abstracting and extending its concepts [77]. More recently, the concept of a SuperHyperGraph has been introduced as a further generalization of the hypergraph. Neutrosophic logic [133], a mathematical framework, extends classical and fuzzy logic by allowing the simultaneous consideration of truth, indeterminacy, and falsity within an interval. In this paper, we explore Superhypertree-width, Neutrosophic treewidth, and t-Neutrosophic tree-width.

Mbj-Neutrosophic Structure Applied To Bp-Algebras: Bp-Subalgebras And Α-Ideals, Bavanari Satyanarayana, Shake Baji, Anjaneyulu Naik K.

Neutrosophic Systems with Applications

In this article, we introduce the concepts of MBJ-neutrosophic BP-subalgebras and MBJ-neutrosophic α-ideals in BP-algebra by applying MBJ-neutrosophic logic to algebraic structure BP-algebra. We prove that the intersection of two MBJ-neutrosophic α-ideals and the inverse image of an MBJ-neutrosophic α-ideal are also MBJ-neutrosophic α-ideals. Furthermore, we prove an MBJ-neutrosophic set is an MBJ-neutrosophic BP-subalgebra if and only if its level sets are BP-subalgebras.

Constructing And Confirming The Viability Of Nested Helmholtz Coils As An Education Model For Clinical Mri Systems, Yoel Kim

Honors Theses

Our goal was to construct a viable laboratory model utilizing oscillating compasses as a visual and manipulable analogue for magnetically resonant proton procession in a clinical magnetic resonance (MR) system for students without a strong background in nuclear physics. The constructed model -- which utilized concentric perpendicular helmholtz coils -- was tested for its ability to replicate the 3 central components in the clinical MR system: the main coils, the RF coils and the gradient coils. Experiments were conducted to demonstrate that each portion of the apparatus was successfully able to model its analogue in the clinical MR system, as …

Neutrosophic Automata And Its Algebraic Properties, Anil Kr. Ram, Anupam K. Singh

Neutrosophic Systems with Applications

This research endeavors to elucidate the interrelationships among various classes of operators, including neutrosophic successor/neutrosophic source/neutrosophic core operators of neutrosophic automata based on neutrosophic resituated lattices. Furthermore, it delves into the characterization of algebraic properties such as neutrosophic subsystem, neutrosophic connectivity, and neutrosophic separability of a neutrosophic automaton using these operators. Finally, we study the concepts of neutrosophic primaries of the given neutrosophic automata using neutrosophic core operators.

An Approach For Hybridizing N-Subalgebra With Quantified Neutrosophic Set Using G-Algebra, Neha Andaleeb Khalid, Muhammad Saeed

Neutrosophic Systems with Applications

Neutrosophic sets are a generalized form of fuzzy sets as well as intuitionistic fuzzy sets, as they address the uncertainty factor as an independent component along with truthfulness and falsity. However, traditional neutrosophic approaches often struggle with effectively managing and quantifying indeterminate elements in complex algebraic structures. To address this limitation, this paper employs an expanded version of the neutrosophic set, incorporating a subalgebra. The proposed research is multifaceted: firstly, the new concept of N-Subalgebra (NSU) is proposed. This is the modified setting in the family of subalgebras whose proposed name is the representation of the author's initial name. Secondly, …

A Neutrosophic Micro Vague Correlation Measure: Application To Multi-Criteria Decision Making Problems, Vargees Vahini T, Trinita Pricilla M

Neutrosophic Systems with Applications

Statistical methods called correlation measures are employed to express the degree of association or relationship between two variables. The correlation coefficient which may be computed in a variety of ways is the most often used kind of correlation measure in many disciplines including biology, psychology, economics, and finance. Knowing the correlations between variables is essential for analysis and decision-making. This paper aims to commence a novel type of correlation measure called Neutrosophic Micro vague Correlation Measure and Neutrosophic Micro Vague Weighted Correlation Measure. Further demonstrates the implementation of the Neutrosophic Micro Vague correlation measure in the MCDM Problem. By adopting …

Solving N-Players Continuous Differential Games Under Neutrosophic Environment, M. G. Brikaa

Neutrosophic Systems with Applications

Uncertainty plays a crucial role in decision-making problems, particularly in game theory. Various forms of uncertainty have been explored in the literature, including fuzzy, soft, rough, and interval-based approaches. Game theory has been extensively studied under these uncertainty models, with researchers addressing vagueness, and imprecision from multiple perspectives. More recently, neutrosophic sets have emerged as an alternative framework for handling uncertainty. Neutrosophic numbers effectively incorporate indeterminacy in decision-making by considering factors such as intuition, assumptions, judgment, behavior, evaluation, and preferences of decision-makers. This paper presents a novel approach to solving a new class of n-player continuous differential games within a …

Einstein Aggregate Operators Under Q-Rung Orthopair Fuzzy Hypersoft Sets With Machine Learning, Muhammad Gulistan, Muhammad Abid

Neutrosophic Systems with Applications

Thailand with its impressive 15.5% global share of renewable energy production, has a small 1% share of bitcoin mining. At the same time, the country is dealing with the severe effects of climate change, which emphasizes the necessity of taking proactive steps to solve environmental issues. This research integrates machine learning techniques and Einstein Aggregate Operators under q-rung orthopair fuzzy hypersoft set (q-ROFHS)-based multi-criteria decision-making technique to present a new method for analyzing CO₂ impacts and mitigation solutions in Thailand. We evaluate the environmental impacts of bitcoin mining and the incorporation of renewable energy sources using an interdisciplinary framework, …

Reframing Information Seeking In The Age Of Generative Ai: A Critical And Humanistic Approach, Joseph Kevin Sebastian

Library Faculty Research

Information-seeking has long been the subject of theoretical modeling, often drawing from cognitive, behavioral, computational, and even evolutionary perspectives to explain how individuals navigate, filter, and utilize information. Several dominant frameworks—Carol Kuhlthau’s Information Search Process, Marcia Bates’ Berrypicking Model, Peter Pirolli & Stuart Card’s Information Foraging Theory, Kiyohiko Nakamura’s Information Criteria framework, and Ian Ruthven’s Information Shaping Theory —have provided structured ways of understanding how people interact with information environments. However, while these frameworks offer valuable insights, they often operate within mechanistic or efficiency-driven paradigms, which risk overlooking the complex, embodied, and socioculturally situated nature of human information behaviors. These …

Grounding Ai Use In Learning Science: A Conversation With Steven Miller, Steven Miller, Lieven Demeester

CASTLe: Collection of Articles on Scholarship for Teaching and Learning

In this insightful interview, SMU Associate Provost (Teaching and Learning Innovation) Lieven Demeester and Professor Emeritus of Information Systems Steven Miller discuss the integration of artificial intelligence (AI) in teaching and learning, emphasising the importance of grounding AI use in the fundamentals of learning science. They explore the evolving role of education in the context of AI advancements, highlighting the need for educators to focus on the cognitive aspects of learning, such as goal-directed practice and feedback. They also address the potential of AI as a collaborative agent in group projects and the importance of maintaining accountability and quality control …

Turning Farm Waste Into Energy: Pragmatic Approaches For Cleaner Midwestern American Communities, Rebecca Gaisie

Selected or Submitted Student Research Papers/Projects

Mismanagement of farm waste in the Midwest of the United States has resulted in significant methane emissions, water contamination, and public health concerns. The present manure management rules are still inconsistent, underfunded, and insufficient to motivate individuals to behave in a way that benefits the environment, despite increasing concerns about the environment. This policy study investigates anaerobic digestion as a potential means to convert waste into energy that could support rural and environmental development. Some of the problems with the federal and state legislation examined in this study under an EPI framework are a lack of incentives, inadequate technical support, …

Summer Air Temperature Comparisons Between The Field And Woods In An Angus Beef Cattle Silvopasture In The Virginia Coastal Plain, Amy E. Edwards

Virginia Journal of Science

The objective of this study was to compare corresponding temperature readings from loggers in the field and woods in a silvopasture for Angus beef cattle. Results show that temperatures during the hottest part of the day are greater in the field than in the woods. Summary statistics show higher maximum, upper quartile, and median temperatures at the field logger with all data analyzed, indicating the temperatures in the field are overall higher than the woods, except during temperature inversions at nighttime. This highlights the importance of providing cattle with shade to prevent heat exhaustion and thermal stress, especially when the …

Examining The Effect Of Climate Change Denialism In American Christianity On International Climate Policy, Hope Mcbride

Selected Honors Theses

While 53% of Americans say anthropogenic climate change is happening, only 32% of American evangelical Protestants share that belief (Alper). Key reasons for this gap include the values and political affiliations held by religious Americans. Historically, there have been dissenting opinions on the role of Christianity in global warming, but ultimately data have demonstrated that the opinions of American Christians can influence major global political decisions, such as President Trump’s executive order pulling the United States out of the keystone Paris Agreement.

Application Of Analytical Methodologies To The Analysis Of Food Flavoring Agents: Part Iv, Tyler Witt, Anna Wallace, Melissa C. Rhoten

Spring Showcase for Research and Creative Inquiry

No abstract provided.

Development And Evaluation Of The Da Vinci Ai Tutor: Enhancing Accessibility And Personalized Learning In Art History Education, James Hutson, Tiffani Barner

Faculty Scholarship

This study examines the implementation of the Da Vinci AI Tutor, an innovative artificial intelligence (AI)-based tutoring platform designed specifically for enhancing personalized and accessible learning in art history within higher education. Launched in Fall 2024 at a private liberal arts institution in the Midwest, the system integrates a conversational AI avatar modeled after Leonardo da Vinci, incorporating immersive virtual reality environments and multimodal interaction capabilities to engage students across undergraduate survey courses, advanced Renaissance classes, and graduate comprehensive exam preparations. Addressing significant gaps in existing humanities education research, the current study explores two primary research questions: (i) How AI-driven …

Sheep Production, Profitability And Greenhouse Gas Emission Of Mixed Farming Systems In Western Australia's Wheatbelt, Tafesse Estifanos, Amir Abadi Abadi Ghadim, Kate Pritchett, Christophe D'Abbadie, Johnny Machon, Paul Mattingley, Bradley Plunkett, Gus Manatsa, Kerrine Blenkinsop, Ross Kingwell, Clinton K. Revell Dr

Animal production and livestock research reports

The south-western agricultural area of Western Australia is a vital contributor to Australia's agricultural output. It generates over $10 billion annually in agricultural production from 2017–18 to 2021–22 and more than $8 billion in export value over the same period. Mixed farming systems characterise the region, producing broadacre crops (primarily wheat, barley, and canola) and livestock. The region's livestock industry is dominated by sheep production for meat and wool, and the state’s share of the national sheep flock in 2020–21 was at 18%.

This report provides a comprehensive review and industry analysis of sheep production in WA, its economic significance, …

‬ ‭ Spiritual Geographies And Living Ritual:‬ ‭ Misali Island’S Caves In Swahili Religious Life In Zanzibar, Everett Gordon

Tanzania-Zanzibar: Coastal Ecology and Natural Resource Management

Caves along the East African Swahili coast are more than geological formations—they are spiritual landscapes where the boundaries between visible and invisible worlds collapse. This paper explores the ritual and religious significance of three caves on Misali Island, a small coral rag island off the coast of Pemba in the Zanzibar Archipelago. Drawing on vegetation surveys and three weeks of ethnographic fieldwork, including interviews with local fishermen, waganga (healers), and marine rangers, this study investigates how these caves serve as sites of prayer, healing, and spirit veneration. It argues that the practices performed within and around these caves exemplify the …

Towards Testing, Detecting, And Debloating Insecure Components In Android Applications, Zicheng Zhang

Dissertations and Theses Collection (Open Access)

The Android ecosystem’s openness and extensibility have fueled its dominance in the mobile market, but they also broaden the attack surface of applications by introducing insecure or redundant methods. Vulnerabilities arise from various sources, including insecure API usage, code cloning, and feature bloat, especially from unneeded components introduced during development. To address these challenges, this dissertation presents a systematic, three-phase pipeline that transitions seamlessly from vulnerability discovery to clone-based detection and, ultimately, to dynamic mitigation through runtime debloating. Each phase builds upon the insights and limitations of the previous, collectively forming a practical approach to improving Android app security.

In …

Streamlining Wildlife Regulation, Robert L. Fischman

Michigan Journal of Environmental & Administrative Law

A recent burst of revisions in the bedrock regulations governing projects that may adversely affect wildlife represents a generational shift in policy. Streamlining federal decision -making drove much of this reform. Streamlining offers a path to address climate change without abandoning a longstanding commitment to wildlife conservation. The conservation community recognizes the need to build new infrastructure to reduce the rate of climate change through air emissions. The most urgent priority is decarbonizing the electrical ~rid through renewable energy generation and a better transmission network. Adaptation to the "new abnormal" of climate-driven environmental disruption demands federal approvals for a host …

Spatial And Temporal Trends Of Reburns In Western Us Forests, Jackson M. Boyle

Student Publications

In the Western United States, understanding the role of reburns, or repeat wildfires, has become a topic of increased interest as the damages caused by wildfires have risen. While some forests are adapted to frequent burns, others have fire regimes characterized by few or infrequent burns. While all fires alter ecosystems, reburns have been found to specifically lower seeding probability and accelerate or start the shift from forests to shrublands. Despite these ecological impacts, the temporal and spatial trends of reburns remain understudied. Using Google Earth Engine, I analyzed the Composite Burn Index (CBI) dataset to see if reburns are …

Perspectives On Gaming Throughout The Years, Noh Fekre

ART 108: Introduction to Games Studies

Video games are a lot younger of an art form compared to other mediums like books or movies which means how they fit into our culture isn’t really set in stone yet. They have existed for a while but got their first big boom through arcades and home consoles. I want to look at how video games present themselves differently to other mediums and how that might have affected their perception amongst the general populace while also looking at how that perception has changed over time due to how games have changed themselves.

Redefining Fun: How Realism And Effort Engage Players In Video Games, Marsel Abdullin

ART 108: Introduction to Games Studies

In the current era of video game development, the gaming industry frequently pursues instant gratification, creating a landscape for immediate and empowering rewards. Current trends clearly show that experiences allow players to become superhuman or extraordinary beings with very little difficulty, satisfying a common desire for escapism and power. This suggests that “fun” is commonly associated with ease, speed, and constant positive feedback. However, my counter-argument is the emergence of games such as Kingdom Come: Deliverance and Red Dead Redemption 2. These games operate with a different game design and philosophy. In fact, they embrace slowness, hardship, and the detailed …

Investigating Mercury Contamination In Urban Fish: Atomic Absorption Spectroscopy And Histological Analysis For Environmental And Human Health, Indy L. Cockrill, Ross Andrew

SPARK Symposium Presentations

Mercury contamination in aquatic ecosystems is a pressing environmental and public health concern, particularly in urban areas where industrial runoff and wastewater contribute to heavy metal accumulation. This study investigates mercury presence in fish from Richland Creek in Nashville, TN, by analyzing histological changes in liver and muscle tissues. Mercury bioaccumulates in aquatic food chains, potentially leading to physiological damage in fish and posing health risks to humans who consume contaminated seafood. While prior research has established mercury’s toxic effects, there is a need for localized studies assessing its presence in urban waterways. The hope is to find histological abnormalities …

Microbial Distortion? Impacts Of Delayed Preservation On Microbiome Diversity And Composition In A Marine Invertebrate, Brenna Hutchings, Susanna López-Legentil, Lauren Stefaniak, Marie Nydam, Patrick M. Erwin

Marine Science

Field collections of marine invertebrates are often accompanied by delays in preservation, which may impact microbiome composition. Here, we tested the effects of delayed preservation and relaxation methods on microbiome diversity and composition in the colonial ascidian Trididemnum solidum using 16S rRNA amplicon sequencing. Replicate samples collected from Belizean reefs were either (1) immediately preserved in ethanol (“control”), (2) held in ambient seawater for 3 h before preservation (“SW”), or (3) held in ambient seawater with menthol (a common pre-preservation relaxation technique for ascidian identification) for 3 h before preservation (“SW + M”). All T. solidum microbiomes were different from …