Matching Items (11,879)
Filtering by
- Creators: Barrett, The Honors College
Description
Plant viral vectors have previously been used to produce high expression levels of antibodies and other proteins of interest. By utilizing a transformed Agrobacterium with the vector containing the protein of interest for infiltration, viral vectors can easily reach the plant cells making it an effective form of transient protein expression. For this project two different plant viral vectors were compared; the geminiviral vector derived from Bean yellow dwarf virus (BeYDV) and the MagnICON vector system derived from Tobacco Mosaic Virus(TMV) and Potato Virus X(PVX). E16, an antibody against West Nile virus, has previously been expressed using both systems but expression levels between the systems were not directly compared. Agrobacterium tumefaciens EHA105 cells were transformed with both systems and expression levels of E16 were quantified using ELISAs. Results showed very low expression levels of E16 using the geminiviral vector indicating a need for further investigation into the clone used as previous studies reported much higher expression levels with the system.
ContributorsMurphy, Skylar (Author) / Chen, Qiang (Thesis director) / Jugler, Collin (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
From different backgrounds and different genres, three young female artists work toward a life in music. They struggle to find relevance in the age of social media, and face a challenging balance between authenticity and trying to make names for themselves. Here is a visual representation of their lives and stories.
ContributorsMurphy, Alisa Orrantia (Author) / Lancial, Alex (Thesis director) / Sullivan, Jill (Committee member) / Walter Cronkite School of Journalism & Mass Comm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This study explores the relationship between three physics-based predictive models defined by Castruccio et al. (2013), and four different distinct experimental morphologies of lava flows produced in a series of laboratory simulations where polyethylene glycol 600 (PEG) was pumped into an inclined chilled bath of water. The length of the experimental flow was recorded over time to create an experimental model to later be compared to the physics-based predictive models. The experimental morphologies are pillowed, rifted, folded, and leveed flows which can be characterized by a dimensionless parameter 𝛹, which scales natural lava flows to experimental lava flows and is a ratio of timescales, the characteristic timescale of thermal flux from the vent and the characteristic timescale of crust formation caused by surface cooling (Fink and Griffiths 1990). The three physics-based models are presented such that the downslope gravitational acceleration drives the flow, while either the Newtonian viscosity of the flow, the Yield Strength of the core (YS), or the Yield Strength of the growing crust (YSC) is the primary retarding factor in flow propagation. This study concluded that low 𝛹-value flows (low flux, low temperature, extensive crust formation) are better captured by the YSC model. And although the Newtonian model did not perfectly capture the behavior of any experimental flows in this study, high 𝛹-value flows (high flux, high temperature, little crust formation) that formed levees exhibited the most Newtonian behavior.
ContributorsCourtney, Cara Alexandra (Author) / Clarke, Amanda B. (Thesis director) / Huang, Huei-Ping (Committee member) / Williams, David A. (Committee member) / School of Sustainability (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
It is widely accepted that mentorship between people of similar backgrounds and slightly different ages is a mutually beneficial partnership (e.g., Angelique, Kyle, & Taylor, 2002; Yomtov, 2017). Mentoring relationships exist in many forms across the education spectrum, from middle school students interacting with their younger peers to the popular “Big-Little system” adopted by fraternity and sorority groups in U.S. colleges and universities, and beyond educational settings throughout the working world. However, one place where mentoring has received relatively less attention, from researchers as well as from practitioners, is in undergraduate student leadership-focused organizations at the college level.
ContributorsBrown, Tyler (Co-author) / Oetter, Joshua (Co-author) / Ott, Molly (Thesis director) / Marley, Scott (Committee member) / Educational Leadership & Innovation, Division (Contributor) / School of Accountancy (Contributor) / Walter Cronkite School of Journalism & Mass Comm (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The goal of this product was to create a highly customizable application in which any individual, musician or not, can create a harmony for the user’s melody. This Automating Music Composer is built on the underlying rules of music composition, rules that are unique for each type of music available. This program is built on rules that are similar to how a Finite State Machine works (Fig 1). Each state represents a different chord in a given key, where the first roman numeral represents the first note in the chord progression. Each transition represents the action that can be taken by the chord progression, or the next note that can be reached by the current note. The user is able to manipulate these rules and styles, adjust different musical parameters to their liking, and is able to input their own melody, which then will output a unique harmony. This product aims to bridge the gap between predictive technologies and musical composition. Allowing the user to be more involved in the composition process helps the program to act as a tool for the user, rather than a separate entity that simply gives the user a completed recording. This allows the user to appreciate and understand what they are helping to produce more than they would if they were to simply be an inactive consumer of a random music composer. This product is meant to feel like an extension of the user, rather than a separate tool.
ContributorsKumar, Dhantin (Co-author) / Lopez, Christian (Co-author) / Nakamura, Mutsumi (Thesis director) / Blount, Andrew (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The process of cooking a turkey is a yearly task that families undertake in order to deliver a delicious centerpiece to a Thanksgiving meal. While other dishes accompany and comprise the traditional Thanksgiving supper, focusing on creating a turkey that satisfies the tastes of all guests is difficult, as preferences vary. Over the years, many cooking methods and preparation variations have come to light. This thesis studies these cooking methods and preparation variations, as well as the effects on the crispiness of the skin, the juiciness of the meat, the tenderness of the meat, and the overall taste, to simplify the choices that home cooks have to prepare a turkey that best fits their tastes. Testing and evaluation reveal that among deep-frying, grilling, and oven roasting turkey, a number of preparation variations show statistically significant changes relative to a lack of these preparation variations. For crispiness, fried turkeys are statistically superior, scoring about 1.5 points higher than other cooking methods on a 5 point scale. For juiciness, the best preparation variation was using an oven bag, with the oven roasted turkey scoring about 4.5 points on a 5 point scale. For tenderness, multiple methods are excellent, with the best three preparation variations in order being spatchcocking, brining, and using an oven bag, each of these preparation variations are just under a 4 out of 5. Finally, testing reaffirms that judges tend to have different subjective tastes, with some having different perceptions and opinions on some criteria, while statistically agreeing on others: there was 67% agreement among judges on crispiness and tenderness, while there was only 17% agreement on juiciness. Evaluation of these cooking methods, as well as their respective preparation variations, addresses the question of which methods are worthwhile endeavors for cooks.
ContributorsVance, Jarod (Co-author) / Lacsa, Jeremy (Co-author) / Green, Matthew (Thesis director) / Taylor, David (Committee member) / Chemical Engineering Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This thesis presents a kit of materials intended to present students with a glimpse of what engineering entails by guiding them through building engineering projects similar to what is in the real world. The objective of this project is to pique the interest of children by introducing them to lesser known engineering related topics, and increasing their literacy of terms and methods engineers use to solve problems. The effectiveness of the kit’s content and teaching methods was tested in a classroom of 6th graders and was measured using the responses from surveys handed out. I found that kit did in fact positively lead to a change in the way the students perceived engineering, and it taught students about new engineering related topics. Students were capable of completing difficult tasks of wiring and coding successfully through the use of detailed instruction. However, the instructions were seen in two opposing views of either being too overwhelming or more guidance was necessary.
ContributorsQuezada, Hebellyn Arleth (Author) / Aukes, Daniel (Thesis director) / Kellam, Nadia (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
“The Difference Between Paper Cuts & Exit Wounds” is a multidisciplinary body of work consisting of a manuscript, a short film, and a set of photographs. As digital culture expands, there are increasing possibilities for cross-genre work within the literary canon. The adaptation of visual mediums alongside the written word supports different levels of reader, and viewer, engagement. This visual and written manuscript permits the audience to experience the project at varying levels of intensity. “The Difference Between Paper Cuts & Exit Wounds” explores the self through fragmented lenses. The poems alone work with white space and experimental forms to create new shapes, new considerations, and new wonders. When put in conversation with the visual art, a poem becomes even more layered—providing alternate entrances to the subject matter. This manuscript is invested in the framing of concerns, of questions, and of thematic obsessions. Through the integration of multiple mediums, the poetic self and the agency of the speaker become multifaceted, apart from the written word alone. With the project’s film component, the curation of vignettes encourages a resistance of a linear narrative. Multiple clips are put on top of one another, with varying levels of opacity, creating multi-layered exposures within a second long clip. This represents the same fragmentation and deconstruction of a linear narrative that is prominent in the written manuscript. The work investigates memory as it distorts desire, frequently returning to how the body holds psychological and emotional trauma. With hybrid approaches to the subject matter, the manuscript illustrates the potential for intimacy to be soft and tender while simultaneously abrasive, triggering, and painful. It allows space for uncertainties, for co-existing conditions. By fracturing the expected forms of both standard poetic lexicon, and standard video narratives, “The Difference Between Paper Cuts & Exit Wounds” complicates the tendency for audiences to dissect art in hopes of reaching a single, definite interpretation. Instead, the body of work builds new spaces for engagement and inquiry.
ContributorsGoettl, Maxana Quinn (Author) / Ball, Sally (Thesis director) / Diaz, Natalie (Committee member) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Alife is an event searching and event publishing website written in C# using the MVC software design pattern. Alife aims to offer a platform for student organizations to publish their events while enabling ASU students to browse, search, and filter events based on date, location, keywords, and category tags. Alife can also retrieve events information from the official ASU Event website, parse the keywords of the events and assign category tags to them. Alife project explores many concepts of Distributed Service-Oriented software development, such as server-side development, MVC architecture, client-side development, database integration, web service development and consuming.
ContributorsWu, Mengqi (Author) / Chen, Yinong (Thesis director) / Feng, Xuerong (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
In shotgun proteomics, liquid chromatography coupled to tandem mass spectrometry
(LC-MS/MS) is used to identify and quantify peptides and proteins. LC-MS/MS produces mass spectra, which must be searched by one or more engines, which employ
algorithms to match spectra to theoretical spectra derived from a reference database.
These engines identify and characterize proteins and their component peptides. By
training a convolutional neural network on a dataset of over 6 million MS/MS spectra
derived from human proteins, we aim to create a tool that can quickly and effectively
identify spectra as peptides prior to database searching. This can significantly reduce search space and thus run time for database searches, thereby accelerating LCMS/MS-based proteomics data acquisition. Additionally, by training neural networks
on labels derived from the search results of three different database search engines, we
aim to examine and compare which features are best identified by individual search
engines, a neural network, or a combination of these.
(LC-MS/MS) is used to identify and quantify peptides and proteins. LC-MS/MS produces mass spectra, which must be searched by one or more engines, which employ
algorithms to match spectra to theoretical spectra derived from a reference database.
These engines identify and characterize proteins and their component peptides. By
training a convolutional neural network on a dataset of over 6 million MS/MS spectra
derived from human proteins, we aim to create a tool that can quickly and effectively
identify spectra as peptides prior to database searching. This can significantly reduce search space and thus run time for database searches, thereby accelerating LCMS/MS-based proteomics data acquisition. Additionally, by training neural networks
on labels derived from the search results of three different database search engines, we
aim to examine and compare which features are best identified by individual search
engines, a neural network, or a combination of these.
ContributorsWhyte, Cameron Stafford (Author) / Suren, Jayasuriya (Thesis director) / Gil, Speyer (Committee member) / Patrick, Pirrotte (Committee member) / School of Mathematical and Statistical Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05