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Prior to World War II, about 55,000 Jews were living in Prague, a very cosmopolitan and artistic city. They represented nearly twenty percent of the city’s population. By the end of the war, at least two-thirds of them had died in the Holocaust. The Nazis converted the small fortress town

Prior to World War II, about 55,000 Jews were living in Prague, a very cosmopolitan and artistic city. They represented nearly twenty percent of the city’s population. By the end of the war, at least two-thirds of them had died in the Holocaust. The Nazis converted the small fortress town of Theresienstadt, near Prague, into a transport camp for Jews on their way to Auschwitz and other death camps. Theresienstadt was where the Nazis sent most Jewish Czech intellectuals, military veterans, artists, and members of the upper class who were well connected. It was also the camp they chose to present to the international community. For all of these reasons—Theresienstadt’s isolation, the demography of the inmates there, and the Nazis’ desire to use it to fool the international community—the Nazis allowed unparalleled self-administration and artistic freedoms.
Arguably the most noteworthy result was its flourishing musical community. Composers and performers who had worked together in Prague prior to the war were able to continue to do so freely in ways that Jewish people were not allowed anywhere else in occupied Europe. They kept the musicians in Theresienstadt—delaying their deportations to Auschwitz—longer than almost anyone else in the camp, until the threat of Soviet liberation was imminent. This thesis aims to explore the lives and works of four Theresienstadt composers: Viktor Ullmann, Pavel Haas, Gideon Klein, and Hans Krása. All four of these artists were successful prior to the war, spent time in Theresienstadt, and were sent to Auschwitz on the same transport on October 16, 1944. Three of the four died in the gas chambers of Auschwitz, and Klein was sent on to the Fürstengrube concentration camp, where he was shot and killed in January 1945. These composers and their music should be remembered, studied, and performed, not only for historical and moral reasons, but also for artistic ones. Their works represent some of the finest music in the German tradition written during this period. In conjunction with this paper, I have arranged Gideon Klein’s String Trio—one of the pieces profiled here—for saxophone quartet. Members of the Arizona State University saxophone studio will perform it twice in April. I hope that the performances will help make audiences aware of the strength of the music that came out of Theresienstadt, and reinforce the fact that it remains highly relevant. In this thesis, the composers’ careers before and during their time in Theresienstadt will be traced, as well as the measures they took to preserve their music, their interactions with each other, and their efforts to use hidden messages in their music. It is hoped that this document will help fill an important gap in the history of European music in the twentieth century.
ContributorsSchwimmer, Jack Denmark (Author) / Creviston, Hannah (Thesis director) / Feisst, Sabine (Committee member) / Creviston, Christopher (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / School of Politics and Global Studies (Contributor)
Created2013-05
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A look at the benefits of the integration of music in the classroom. This thesis focuses on how music supports brain development and how that affects the ways children learn the classroom. It also highlights how current teachers feel about integrating music in the classroom and the best practices used

A look at the benefits of the integration of music in the classroom. This thesis focuses on how music supports brain development and how that affects the ways children learn the classroom. It also highlights how current teachers feel about integrating music in the classroom and the best practices used for integrating music. Lastly, this thesis contains strategies on how to integrate music in the classroom using the Common Core standards as well as personal compositions written using Common Core standards.
ContributorsAnger, Jack Vottero (Author) / Dahlstrom, Margo (Thesis director) / Stahlman, Rebecca (Committee member) / Mann, Michael (Committee member) / Barrett, The Honors College (Contributor) / Division of Teacher Preparation (Contributor)
Created2013-05
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Description
For the ancient Greeks, music not only was esteemed for its social and entertaining value, but also because it reflected the beauty of the gods and their creations. Music furthermore “embodied larger universal principles and served as a vehicle for higher understanding.” According to Lippmann, the ancients believed that the

For the ancient Greeks, music not only was esteemed for its social and entertaining value, but also because it reflected the beauty of the gods and their creations. Music furthermore “embodied larger universal principles and served as a vehicle for higher understanding.” According to Lippmann, the ancients believed that the universe “contains a harmony that controls both spatial and temporal phenomena” and “we can come to know the divine order of harmony more readily in ourselves than in the external world.” Gaining self-knowledge and awareness of one’s place in the world are significant and music is a means of gaining this consciousness. Ancient Greeks believed that music was inspired by the Greek goddesses known as the Muses. In this paper, I argue that, by gifting humans with divinely inspired music, the Muses help humans achieve this mindfulness of one‟s place in the world and attain immortality.
ContributorsSanders, Lauren (Author) / Norton, Kay (Thesis director) / Arena, Paul (Committee member) / Bruhn, Karen (Committee member) / Barrett, The Honors College (Contributor) / Herberger Institute for Design and the Arts (Contributor)
Created2012-12
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Description
Freewheelin': The American Counterculture in Museums is the first study to explore American museums that collect artifacts from the counterculture era at length. Examining institutions whose specialized collections and histories represent the recent, dynamic social movements of the mid-twentieth century begets particular institutional challenges and extraordinary opportunities; both factors causing

Freewheelin': The American Counterculture in Museums is the first study to explore American museums that collect artifacts from the counterculture era at length. Examining institutions whose specialized collections and histories represent the recent, dynamic social movements of the mid-twentieth century begets particular institutional challenges and extraordinary opportunities; both factors causing the evolution of some American history museums into premier social history centers. I have focused on four institutions for research: the Beat Museum, the GLBT History Museum, the Rock and Roll Hall of Fame, and the Museum of Sex. The analysis of each organization contains a brief account of the history they strive to preserve, a case study of their professional operations, and objective recommendations. Ultimately through researching the four selected institutions and museum studies at large, it was determined that certain collective features are propelling a paradigm shift in modern American history museums.
ContributorsSenjamin, Willow (Author) / Fahlman, Betsy (Thesis director) / Codell, Julie (Committee member) / Susser, Deborah (Committee member) / Barrett, The Honors College (Contributor) / Herberger Institute for Design and the Arts (Contributor)
Created2012-12
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In light of the intensifying environmental, social, and economic challenges facing the world, sustainable development is more necessary than ever. Approaching sustainability problems through Asset-Based Community Development (ABCD) programs involving music is unconventional, but holds potential for grand results. An examination of various existing community development projects, from the Playing

In light of the intensifying environmental, social, and economic challenges facing the world, sustainable development is more necessary than ever. Approaching sustainability problems through Asset-Based Community Development (ABCD) programs involving music is unconventional, but holds potential for grand results. An examination of various existing community development projects, from the Playing for Change Foundation to the Arizona State University Barrett Choir, shows that music-related activities are highly effective at fostering community development. Once a foundation of community connectedness is created, other issues such as social injustices or natural disasters can be more effectively addressed and overcome. Music and other fine arts can contribute, in a variety of ways, to the health of communities. This should be recognized and utilized in the pursuit of sustainable community development to preserve the health of the planet and its inhabitants.
ContributorsPaonessa, Carlotta Colleen (Author) / Schildkret, David (Thesis director) / Manuel-Navarrete, David (Committee member) / Barrett, The Honors College (Contributor) / Herberger Institute for Design and the Arts (Contributor) / School of Sustainability (Contributor)
Created2014-05
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DescriptionThis written work is accompanied by an audio CD and accompanying design and packaging materials, on file at the Barrett Thesis Library. The work details the process of recording an original audio CD and developing a marketing plan, including the building of a personal brand, strategies, tactics, and environment analysis.
ContributorsHoal, Lauren Elizabeth (Author) / Russell, Timothy (Thesis director) / Eaton, John (Committee member) / Rigsby, Clarke (Committee member) / Barrett, The Honors College (Contributor) / Herberger Institute for Design and the Arts (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2013-05
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Description
With the development of technology, there has been a dramatic increase in the number of machine learning programs. These complex programs make conclusions and can predict or perform actions based off of models from previous runs or input information. However, such programs require the storing of a very large amount

With the development of technology, there has been a dramatic increase in the number of machine learning programs. These complex programs make conclusions and can predict or perform actions based off of models from previous runs or input information. However, such programs require the storing of a very large amount of data. Queries allow users to extract only the information that helps for their investigation. The purpose of this thesis was to create a system with two important components, querying and visualization. Metadata was stored in Sedna as XML and time series data was stored in OpenTSDB as JSON. In order to connect the two databases, the time series ID was stored as a metric in the XML metadata. Queries should be simple, flexible, and return all data that fits the query parameters. The query language used was an extension of XQuery FLWOR that added time series parameters. Visualization should be easily understood and be organized in a way to easily find important information and details. Because of the possibility of a large amount of data being returned from a query, a multivariate heat map was used to visualize the time series results. The two programs that the system performed queries on was Energy Plus and Epidemic Simulation Data Management System. By creating such a system, it would be easier for people of the project's fields to find the relationship between metadata that leads to the desired results over time. Over the time of the thesis project, the overall software was completed, however the software must be optimized in order to take the enormous amount of data expected from the system.
ContributorsTse, Adam Yusof (Author) / Candan, Selcuk (Thesis director) / Chen, Xilun (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
The study compares the pretest and posttest results of three groups of second-grade students studying a phonics rule to determine the effect of using music as an instructional aid. For two groups in the study, the teachers used melodies to instruct students, while the third group was held to direct

The study compares the pretest and posttest results of three groups of second-grade students studying a phonics rule to determine the effect of using music as an instructional aid. For two groups in the study, the teachers used melodies to instruct students, while the third group was held to direct instruction with no music to use for assistance. The study groups were three second-grade classes at Ishikawa Elementary School, where I was serving as a student teacher. Parental consent was received for each of the students participating in the study. The duration of the study was one week. The first test group was given a familiar melody with new lyrics to reflect the content of the phonics rule "I before E except after C." The second test group was given a melody composed specifically to accompany the phonics rule and to reflect the appropriate phonics content. On the first day of the study, students were given a pretest; these scores were recorded and then compared to the posttest scores from the end of the week. The data that were collected compared groups as a whole through composite scores from pretest to posttest to determine most effective methodology. The groups that were instructed using music demonstrated greater growth and had higher posttest scores.
ContributorsFrazee, Madison Marie (Author) / Schildkret, David (Thesis director) / Stauffer, Sandy (Committee member) / Barrett, The Honors College (Contributor) / Division of Teacher Preparation (Contributor)
Created2014-12
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Description
A model has been developed to modify Euler-Bernoulli beam theory for wooden beams, using visible properties of wood knot-defects. Treating knots in a beam as a system of two ellipses that change the local bending stiffness has been shown to improve the fit of a theoretical beam displacement function to

A model has been developed to modify Euler-Bernoulli beam theory for wooden beams, using visible properties of wood knot-defects. Treating knots in a beam as a system of two ellipses that change the local bending stiffness has been shown to improve the fit of a theoretical beam displacement function to edge-line deflection data extracted from digital imagery of experimentally loaded beams. In addition, an Ellipse Logistic Model (ELM) has been proposed, using L1-regularized logistic regression, to predict the impact of a knot on the displacement of a beam. By classifying a knot as severely positive or negative, vs. mildly positive or negative, ELM can classify knots that lead to large changes to beam deflection, while not over-emphasizing knots that may not be a problem. Using ELM with a regression-fit Young's Modulus on three-point bending of Douglass Fir, it is possible estimate the effects a knot will have on the shape of the resulting displacement curve.
Created2015-05
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Description

The purpose of this project is to create a useful tool for musicians that utilizes the harmonic content of their playing to recommend new, relevant chords to play. This is done by training various Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) on the lead sheets of 100 different jazz

The purpose of this project is to create a useful tool for musicians that utilizes the harmonic content of their playing to recommend new, relevant chords to play. This is done by training various Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) on the lead sheets of 100 different jazz standards. A total of 200 unique datasets were produced and tested, resulting in the prediction of nearly 51 million chords. A note-prediction accuracy of 82.1% and a chord-prediction accuracy of 34.5% were achieved across all datasets. Methods of data representation that were rooted in valid music theory frameworks were found to increase the efficacy of harmonic prediction by up to 6%. Optimal LSTM input sizes were also determined for each method of data representation.

ContributorsRangaswami, Sriram Madhav (Author) / Lalitha, Sankar (Thesis director) / Jayasuriya, Suren (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05