Physical Sciences and Mathematics Commons^™

The Mathematical Laws Of Morphology And Biomechanics Through Ontogeny, Wijesooriya Kisal Wijesooriya

The Journal of Purdue Undergraduate Research

No abstract provided.

Compact Control System For Superconducting Qubits, Santiago Lopez

The Journal of Purdue Undergraduate Research

No abstract provided.

Validating Atmospheric Freezing Level Heights Using Purdue University Weather Balloon Data, Danielle Harr

The Journal of Purdue Undergraduate Research

No abstract provided.

Implication Of Generative Ai On Education And Research, Riddhi Gupta

The Journal of Purdue Undergraduate Research

No abstract provided.

A Meteorological Investigation Of A Tornado- Producing, “Hybrid” Supercell-Multicell Storm Near Delphi, Indiana, On May 8, 2023, Evelyn Rose K. Girardi

The Journal of Purdue Undergraduate Research

No abstract provided.

Where To Build Food Banks: A Machine Learning Approach, Gavin Ruan

The Journal of Purdue Undergraduate Research

Over 44 million Americans currently suffer from food insecurity, of whom 13 million are children. Food insecurity has been shown to cause a wide range of both physical and developmental issues. Across the United States, thousands of food banks and pantries serve as vital sources of food and other forms of aid for food-insecure families. By optimizing food bank locations, food banks and their resources would become more accessible to families who desperately require it. The aim of this paper is to build a machine learning framework that is able to optimize food bank locations and to consider factors such …

Security At Too High An Environmental Cost?: The European Union's Energy Independence Strategy And Its Environmental Implications For Air Quality In Poland And Hungary, Stephanie P. Peterson

The Journal of Purdue Undergraduate Research

After Russia’s invasion of Ukraine in 2022, the European Union worked to secure liquified natural gas (LNG) deals with third countries to abolish its dependence on Russian gas. In this article, I sought to determine the environmental implications of the European Union’s new LNG deals on the air quality in Hungary and Poland, two former communist states. Despite LNG being a cleaner fossil fuel, I hypothesized that it posed a threat to Hungary’s and Poland’s air quality as both countries endured rapid industrialization under Soviet control that forwent environmental protections. To prove this, I used qualitative data from before the …

Predictive Maintenance Analysis Of Turbofan Engine Sensor Data, Stanley A. Melkumian

The Journal of Purdue Undergraduate Research

Predictive maintenance in aviation and aerospace applications is among the most explored problems in machine learning (ML) and artificial intelligence (AI), and datasets such as NASA’s C-MAPPS turbofan engine degradation simulation data have proven invaluable, helping researchers explore numerous questions on engine performance, maintenance, and failure. The purpose of this study was to extend the current research on predicting the remaining useful life (RUL) of engines and their risk classification. Starting with simple yet under-investigated nonlinear survival and random forest models, the analysis implemented eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) from TensorFlow’s Keras library. For both regression …

The Influence Of Soil Properties And Land Management On Soil Porewater Chemistry, Bethany Kettleborough

The Journal of Purdue Undergraduate Research

Soil water dynamics influence vegetation health, soil geochemical reactions, and stream chemistry. Water dynamics can be controlled by soil type and land management. It is important to understand water movement due to its influence on soil weathering, microbial activity, and nutrient transport. Water movement can be investigated using water stable isotope variability as a tracer. The purpose of this ongoing study was to analyze stable isotopes and dissolved ions in prairie and agricultural land management sites in Nebraska and Illinois. Prairies typically contain deep-rooted grasses, while agricultural lands contain shallow-rooted row crops. Root depth is considered a major control on …

Embodied Cognition And Teaching Stem: Tenets To Explain And Enhance A Middle School Science Project, Jonathan E. Roberts, Joshua L. Williams, Robert A. Hodgdon, Caroline Payne, Gabriela Ruiz Emmanuelli

Current Issues in Middle Level Education

STEM pedagogy is a popular area for research and discussion. The empirical literature on this topic supports a variety of approaches (e.g., inquiry-based) to help instructors spark student interest create an effective learning environment, and foster long-term retention and transfer of information related to STEM topics. One potential approach is to use tenets of embodied cognition, in which behavior and cognition emerge out of real-time sensorimotor behavior of the individual situated within a particular context, to implement strategies to enhance STEM pedagogy. We applied the six lessons of embodied cognition to understand the beneficial aspects of a middle-school project on …

Performance Prediction For Hub-Based Swarms, Puneet Jain

Theses and Dissertations

Optimization problems lie at the core of improving performance in various tasks, ranging from day-to-day work scheduling to coordinating robots in a warehouse fulfillment center. Distributed swarm systems provide a robust and adaptive solution approach to many optimization problems. Instead of using one really sophisticated agent, multiple smaller less sophisticated agents can provide the flexibility to evaluate more options and still provide a "good" answer. This dissertation uses graphs to model, analyze, and simulate swarm behavior, primarily to predict the time-to-converge (TTC) and success probability. First, we use a bipartite model for the distributed best-of-N problem, and show how the …

Efficient Visual Data Processing Approaches To Improve Resource Utilization, Yeganeh Jalalpour

Dissertations and Theses

With continuous advancements in technology, the volume of visual data being captured, distributed, and consumed across various applications is rapidly increasing. Enhancing the efficiency of visual data processing can improve resource consumption, making the storage, transmission, and use of this growing visual content more effective.

Image and video data constitute a significant share of internet traffic, making video compression a critical factor in enhancing overall data throughput by improving the video compression ratio. Capturing, transferring, and storing raw video data is challenging due to the substantial resources required for both storage and computation. Video compression, however, can significantly mitigate these …

Vibrational And Electronic Spectroscopy Of 2-Cyanoindene Cations, Thomas E. Douglas-Walker, Eleanor K. Ashworth, Mark H. Stockett, Francis C. Daly, Isabelle Chambrier, Vincent J. Esposito, Marius Gerlach, Angel Zheng, Julianna Palotás, Andrew N. Cammidge, Ewen K. Campbell, Sandra BrüNken, James N. Bull

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

2-Cyanoindene is one of the few specific aromatic or polycyclic aromatic hydrocarbon (PAH) molecules positively identified in Taurus molecular cloud-1 (TMC-1), a cold, dense molecular cloud that is considered the nearest star-forming region to Earth. We report cryogenic mid-infrared (550–3200 cm^–1) and visible (16,500–20,000 cm^–1, over the D2 ← D0 electronic transition) spectra of 2-cyanoindene radical cations (2CNI⁺), measured using messenger tagging (He and Ne) photodissociation spectroscopy. The infrared spectra reveal the prominence of anharmonic couplings, particularly over the fingerprint region. There is a strong CN-stretching mode at 2177 ± 1 cm^–1 (4.593 …

An Examination Of Academic Library Platforms And Systems During Covid-19, Cole Hudson, Paul Gallagher

University Libraries Faculty Publications and Presentations

This paper examines the use and subsequent trajectory of academic library technologies due to the impact of the COVID-19 pandemic. Taking a broad view of technologies, the systems and services discussed will center around resource use because COVID restrictions shuttered many in-person technologies. The two academic libraries compared in this study show a similar pattern of use and signal growth of certain platforms and technologies for the future.

Utility Of Immobilized Metal Salens As Electrocatalysts: Fuel Cells And Organic Electrosynthesis, Zachary A. Nguyen, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

There have been significant advancements in the electrosynthesis of fuels and organic molecules, making it an increasingly sustainable and cost-effective alternative to traditional chemical redox reagents. Early versions of these systems faced challenges in chemo selectivity due to high applied overpotentials, which have been mitigated with the introduction of molecular electrocatalysts, like metal salens (MSalens). These MSalens reduce the required overpotentials, increase turnover numbers (TON), and have simple modularity within their ligand structure allowing for tunable selectivity. While these MSalen electrocatalysts are typically used homogeneously for engineering simplicity, downstream separations are often costly and time-consuming. Immobilization of MSalens addresses these …

Organic Alkalinity Distributions, Characteristics, And Application To Carbonate System Calculations In Estuarine And Coastal Systems, Christopher W. Hunt, Joseph Salisbury, Xuewu Liu, Robert H. Byrne

Faculty Publications

The capacity of aquatic systems to buffer acidification depends on the sum contributions of various chemical species to total alkalinity (TA). Major TA contributors are inorganic, with carbonate and bicarbonate considered the most important. However, growing evidence shows that many rivers, estuaries, and coastal waters contain dissolved organic molecules with charge sites that create organic alkalinity (OrgAlk). This study describes the first comparison of (1) OrgAlk distributions and (2) acid–base properties in contrasting estuary-plume systems: the Pleasant (Maine, USA) and the St. John (New Brunswick, CA). The substantial concentrations of OrgAlk in each estuary were sometimes not conservative with salinity …

Re: Comment Letter For The Draft Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Quality Assurance Project Plan (Qapp) For Microbial Analysis And Biotreatability Study (Dated October 10, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Utilizing Large Language Models To Synthesize Product Desirability Datasets, John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary L. Myers, Warren Thompson

Research & Publications

This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating user sentiment and product experience. Utilizing gpt-4o-mini, a cost-effective alternative to larger commercial LLMs, three methods, Word+Review, Review+Word, and Supply-Word, were each used to synthesize 1000 product reviews. The generated datasets were assessed for sentiment alignment, textual diversity, and data generation cost. Results demonstrated high sentiment alignment across all methods, with Pearson correlations ranging from 0.93 to 0.97. Supply-Word exhibited the highest diversity and coverage of PDT terms, although with increased generation costs. Despite minor …

A Spectrum Of Light: Speculative Poetry Of Celestial Bodies And Astrophysics, Shannon Sosebee

Electronic Theses and Dissertations

This is a collection of speculative poetry with a focus on celestial objects within our solar system and larger bodies outside of our solar system, some of which are only theorized to exist. The author finishes the collection with introspective works, laying bare vulnerabilities and insecurities.

The Role Of Nutrient Solutions On Phosphate-Solubilizing Bacteria Population, Phosphorus Availability, Phosphorus Uptake, Growth And Yield Of Red Chili (Capsicum Annuum L.), Betty Natalie Fitriatin, Raden Faqih Hilmiy Ghifari, Emma Trinurani Sofyan, Fitri Widiantini, Hanif Fakhrurroja, Tualar Simarmata

Jurnal Kultivasi

Red chili consumption in Indonesia has increased every year. However, with large chili production to meet large consumption, land conversion for various purposes has reduced the harvested area. The efforts to increase the harvested area of chili using Inceptisols soil by providing nutrient solutions to overcome the infertility of the soil using its nutrients. This experiment aims to determine the effect of nutrient solution application on the population of phosphate-solubilizing bacteria, phosphorus availability, phosphorus uptake, growth, and yield of Red Chili (Capsicum annuum L.) in Inceptisols. The experiment was conducted from August 2023 to February 2024 at Ciparanje Experimental Field, …

Gpu-Accelerated Community Detection: Performance Comparison Of Networkx And Cugraph, Venkata Satyanarayana Pulaparthi

Masters Projects

Community detection in complex networks is an essential process in the field of network science, offering insights into the underlying structure and functionality of interconnected systems. As the scale and complexity of networks grows, traditional CPU-based methods for community detection struggle to keep pace, leading to the exploration of GPU-accelerated solutions.

This project investigates the implementation of the Louvain algorithm for community detection using GPU-accelerated computing via the CuGraph library. By comparing it too traditional CPU based methods implemented with NetworkX, this study examines performance improvements, scalability, and applicability across real-world datasets. Two networks were used for experimentation: Zachary’s Karate …

3d Game: Enhancing Game Ai With Machine Learning, Nicholas William English

Masters Projects

Machine learning (ML) and artificial intelligence (AI) are terms that are often used synonymously, but they are ever-so slightly different. Machine learning is really a subset of artificial intelligence and involves creating an algorithm so that a computer can learn patterns. Artificial intelligence extends machine learning with the goal to go beyond pattern recognition by having a computer that is capable of mimicking human intelligence. Video games often use the term AI in reference to the bots or non-playable characters (NPCs) that players may interact with. Generally, these bots do not actually implement AI, nor do they use ML, but …

Theory And Algorithms To Learn, Propagate, And Exploit Uncertainty For Stochastic Optimal Control Of Dynamical Systems, Vignesh Sivaramakrishnan

Electrical and Computer Engineering ETDs

Non-Gaussian uncertainty frequently arises in learning and control problems involving stochastic dynamical systems, particularly in autonomous vehicles, UAVs, satellites, and robotics. In this dissertation, we propose a new framework that leverages characteristic functions that provides a frequency-domain representation of random variables. The dissertation is structured into three key areas. First, we address model-based stochastic optimal control for linear systems with non-Gaussian noise, demonstrating that characteristic functions can be used to enforce chance constraints and control systems toward desired distributions. Second, we explore data-driven stochastic control, utilizing empirical characteristic functions to handle systems with unknown disturbances. In addition, we derive several …

Operations On Submodules With The Multiplicative And Quotient Properties, Jiekai Pang

Mathematics & Statistics ETDs

Inspired by the works of Petro, Epstein, Vassilev, and Morre, this thesis aims to study the generalized definitions of the semiprime operation, weakly prime operation, and standard closure operation on rings, that is, the multiplicative operation, weakly multiplicative operation, and standardly multiplicative operation on submodules. Then, we will use Matlis duality to induce the dual notions of these definitions on submodules of Matlis-dualizable Artinian modules. In order to understand the dual notion of the standardly multiplicative operation, that is, the standardly quotient operation, we will classify the operations on the injective hull of residue field of the ring K[[x,y]]/(xy) which …

An Energy Resource Management For Cluster Based Iohv Supported By Fog Computing, Ahmed Jawad Kadhim

Karbala International Journal of Modern Science

Internet of Hybrid Vehicle Networks (IoHV) is a network generated by merging the Internet with a Hybrid Vehicular Ad-Hoc Network (H-VANET). In IoHV, various types of electric and fuel vehicles create tasks. However, executing several tasks by electric vehicles affects their lifetime because they suffer from energy limitation issues which is one of the IoHV challenges. On the other hand, fuel vehicles and fog nodes have unlimited energy and can be used to execute most tasks of electric vehicles quickly. In this paper, we produce a new Energy Resource management Technique for IoHV called ERTH that aims to offload the …

Effect Of Temperature And Rhenium Content In Precipitates On Dispersion Hardening Of Tungsten, Yulia R. Sharapova, Arseny M. Kazakov, Elena A. Korznikova, Alexandr Zinovev, Dmitry Terentyev, Sergey V. Dmitriev

Karbala International Journal of Modern Science

Tungsten (W) is being developed as a plasma-facing material for fusion reactors, where it is subjected to MeV neutron irradiation, low-energy helium isotope particles, and high temperatures. These conditions lead to the formation of point defects, dislocation loops, voids, and transmutation into rhenium (Re) and osmium (Os), which form precipitates that significantly impact dislocation motion and increase hardness. This study uses molecular dynamics modeling to examine the interaction between an edge dislocation and Re-rich particles of various stoichiometries, specifically coherent bcc-phase particles and noncoherent σ-phase precipitates. Results show that shear stress increases by approximately 20-40% with larger particle size (3-5 …

Gauss-Lobatto Method For Nuclear Reactivity Calculation, Daniel Suescún-Díaz, Luis E. Cardoso-Páez, Diego Peña-Lara

Karbala International Journal of Modern Science

In this paper, we introduce a novel approach to numerical solving for nuclear reactivity using the inverse equation of point kinetics as a model. Our method leverages the Gauss-Lobatto quadrature, incorporating multiple time steps and nodes derived from Legendre polynomials of varying orders. To enhance the accuracy of the differential component of the inverse equation, we employed a differential scheme based on the Gauss-Lobatto quadrature nodes. To address fluctuations in neutron population density, we implemented a second-order low-pass Butterworth filter with a minimal window length of M = 3 samples. Through extensive numerical simulations, we assessed the precision of our …

Calculation And Statistical Analysis Of Wins Above Replacement, Joshua Taylor

Departmental Honors & Graduate Capstone Projects

The Wins Above Replacement (WAR) statistic in Major League Baseball is a prominent metric used to estimate player value by quantifying all aspects of play in terms of wins added to a baseball team. We will use R to calculate WAR for all players from 1871 to 2012 and use data from those years to construct multivariate predictive models to attempt to estimate WAR for players from 2013 to 2024. We find strong correlations between predicted and actual WAR values for most models, with the exception of the polynomial predictive model for non-qualified pitchers.

Karst Hydrologic Memory Supplements Streamflow During Dry Periods In Snow-Dominated, Mountainous Watersheds, Hyrum Tennant, Bethany T. Neilson, Devon Hill, Dennis L. Newell, James P. Evans, Seohye Choi, James P. Mcnamara, Nathaniel Ashmead, Tianfang Xu

Geosciences Faculty Publications

Analysis of PRISM and SNOTEL station data paired with USGS streamflow gage data in the western United States shows that, in snow-dominated mountainous watersheds, streamflow regimes differ between watersheds with karst geology and their non-karst neighbours. These carbonate aquifers exhibit a spectrum of flow paths encompassing karst conduits, including large fractures or voids that transmit water readily to springs and other surface waters, and matrix flow paths through soils, highly fractured bedrock, or porous media bedrock grains. A well-connected karst aquifer will discharge a large portion of its accumulated precipitation to surface water via springs and other groundwater flow paths …

Evaluating The Usefulness Of Geochronometers In The Packsaddle Domain For Refining The Timing Of Metamorphism Via High-Resolution Petrography, Enchanted Rock State Natural Area, Llano Uplift, Texas, Haylee Vike

Electronic Theses and Dissertations

The Llano uplift, central Texas, exhumes Mesoproterozoic rocks with a complex history of metamorphism, deformation, and magmatism. There are three recognized metamorphic events related to the Grenville orogeny (~1.3-0.9 Ga). The timing of these metamorphic events is not well resolved due to past methods, technology, and lack of published geologic context for many of the current dates. These current time constraints on metamorphic timing could be further refined through modern geochronologic and petrochronologic methods.

A majority of U-Pb zircon dates from the Valley Spring (~1366-1232 Ma), Coal Creek (~1326-1275 Ma), and Packsaddle (~1257-1215 Ma) domains are interpreted as crystallization ages …