Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Amphibian (1)
- Anuran (1)
- Auditory (1)
- Basins of Attrac- tion (1)
- Bayesian reasoning (1)
-
- Biomechanics (1)
- Catalysis (1)
- Coinage metal (1)
- Computer science education (1)
- Coupled oscillators (1)
- Deep Learning (1)
- Dynamical systems (1)
- Falcon Food Pantry (1)
- Food insecurity (1)
- Food waste (1)
- Frog (1)
- Froude number (1)
- Gait transition (1)
- Graph learning structure (1)
- Hopf bifurcation (1)
- Hydrogen Activation (1)
- Hydrogen activation (1)
- Image Segmentation (1)
- Ligand (1)
- Locomotion (1)
- Meals (1)
- Memory (1)
- Metaoptimization (1)
- Minimization (1)
- N-Heterocylic Carbenes (1)
Articles 1 - 9 of 9
Full-Text Articles in Entire DC Network
Graph-Based Learning, Jason Gronn
Graph-Based Learning, Jason Gronn
Honors Projects
An educational approach to teaching students based on prerequisite knowledge they may or may not have is presented. This approach represents educational content in the form of a graph, where edges link each topic to the prerequisites of that topic. A proof-of-concept website is created based on this approach, where qualitative results are observed and a number of conclusions are drawn. Some of the findings are that, while it can prevent users from being confused by lacked prior knowledge, the users may instead be confused by the presentation of the graph structure. The work finds that the approach is workable, …
Evaluating Appropriate Participant Training Period For Anuran Auditory Surveys, Evianna Goebel
Evaluating Appropriate Participant Training Period For Anuran Auditory Surveys, Evianna Goebel
Honors Projects
Auditory surveys are common in anuran research as they can tell a lot about a species without being intensely laborious or costly. There has not been much research on training periods for those taking part in the surveys. Proper training is necessary and improper training can hinder a project and lead to skewed results. In this study, we took students from several biology 2040 classes and had them study the calls of 11 frog species in NW Ohio. From the data, we can conclude that 2 weeks of roughly 100 minutes of study time is not enough for successful results …
Feed More, Waste Less, Kaitlyn Dietz
Feed More, Waste Less, Kaitlyn Dietz
Honors Projects
With college prices and the cost of food increasing, so has the rate of food insecurity among college students. Food insecurity is defined as the lack of availability or access to food to meet someone’s basic and necessary needs. Food insecurity is associated with lower grades, depression, higher perceived stress, and lower graduation rates. Campuses across the country are responding to the problem in a variety of ways, including distribution of food directly to students through food pantries. Meal plans are expensive in the addition to college tuition and housing. The lowest cost for a meal plan at Bowling Green …
Synthesis Of N-Heterocyclic Carbene Complexes Of Coinage Metals And Their Application In The Activation Of Hydrogen, Maryam Akramova
Synthesis Of N-Heterocyclic Carbene Complexes Of Coinage Metals And Their Application In The Activation Of Hydrogen, Maryam Akramova
Honors Projects
The main cause of the ongoing global climate crisis is the emission of greenhouse gases, and current climate reports emphasize the need to transition to low-emission renewable energy sources. Urgently needed are methods for storing renewable energy, such as synthetic fuels like hydrogen (H2) gas; however, a challenge to the widespread implementation of hydrogen fuel is its low volumetric energy density. This thesis describes an effort to synthesize a catalyst that takes advantage of hard-soft acid-base (HSAB) mismatches to activate H2 and facilitate its reaction with CO2 to form hydrocarbon fuels, thereby providing a sustainable means …
Basins Of Attraction And Metaoptimization For Particle Swarm Optimization Methods, David Ma
Basins Of Attraction And Metaoptimization For Particle Swarm Optimization Methods, David Ma
Honors Projects
Particle swarm optimization (PSO) is a metaheuristic optimization method that finds near- optima by spawning particles which explore within a given search space while exploiting the best candidate solutions of the swarm. PSO algorithms emulate the behavior of, say, a flock of birds or a school of fish, and encapsulate the randomness that is present in natural processes. In this paper, we discuss different initialization schemes and meta-optimizations for PSO, its performances on various multi-minima functions, and the unique intricacies and obstacles that the method faces when attempting to produce images for basins of attraction, which are the sets of …
Modeling The Development & Expression Of Political Opinion: A Zallerian Approach, Avery C. Ellis
Modeling The Development & Expression Of Political Opinion: A Zallerian Approach, Avery C. Ellis
Honors Projects
Research focused on John Zaller's famous RAS model of political opinion formation and change from "The Nature and Origins of Mass Opinion" (1992). Analyzed the mathematical and psychological underpinnings of the model, the first paper to do so in over fifteen years and the first to do so through an analysis of motivated reasoning and Bayesian reasoning. Synthesized existing critiques of Zaller's model and other literature to suggest ways to build on Zaller, utilizing fundamental reunderstandings of opinions and messages from political and mathematical perspectives. Found verification for Zaller's model, confirming its value, but also found support for the proposed …
Statistically Principled Deep Learning For Sar Image Segmentation, Cassandra Goldberg
Statistically Principled Deep Learning For Sar Image Segmentation, Cassandra Goldberg
Honors Projects
This project explores novel approaches for Synthetic Aperture Radar (SAR) image segmentation that integrate established statistical properties of SAR into deep learning models. First, Perlin Noise and Generalized Gamma distribution sampling methods were utilized to generate a synthetic dataset that effectively captures the statistical attributes of SAR data. Subsequently, deep learning segmentation architectures were developed that utilize average pooling and 1x1 convolutions to perform statistical moment computations. Finally, supervised and unsupervised disparity-based losses were incorporated into model training. The experimental outcomes yielded promising results: the synthetic dataset effectively trained deep learning models for real SAR data segmentation, the statistically-informed architectures …
Activation Of Hydrogen By Sterically Modulated Coinage Metal Catalysts Via Mutual Quenching Of Hard/Soft Acid/Base Mismatches, Zach Leibowitz
Activation Of Hydrogen By Sterically Modulated Coinage Metal Catalysts Via Mutual Quenching Of Hard/Soft Acid/Base Mismatches, Zach Leibowitz
Honors Projects
To mitigate the devastating environmental impacts of climate change in the coming decades, it is imperative that we replace the use of fossil fuels with renewable energy sources such as wind, solar, and hydroelectric. As these renewable energy sources are inherently intermittent, there exists a need for sustainable mechanisms to store renewable energy for later use. While the direct use of dihydrogen (H2) as a combustible fuel would allow for energy storage without the harmful release of carbon dioxide (CO2) upon combustion, the practicality of H2 as a synthetic fuel is limited by its low …
Fall Forward, Spring Back: Drivers Of Synchrony In The Sea Star Crawl-Bounce Gait Transition, Brady R. Nichols
Fall Forward, Spring Back: Drivers Of Synchrony In The Sea Star Crawl-Bounce Gait Transition, Brady R. Nichols
Honors Projects
The Froude number is the ratio of kinetic energy to gravitational potential energy used during locomotion and is often used to analyze gait transitions. Here, I compare and contrast the human walk-run gait transition, which occurs at a consistent Froude number of 1 because there exists a mechanical speed limit to walking, and the sea star crawl-bounce gait transition, which occurs around Froude numbers of 1*10^-3. In this thesis I investigate why sea stars exhibit two gaits despite lacking brains and moving at Froude numbers far below other known gait transitions, hypothesizing (1) that the crawl-bounce transition may be mechanical …