Matching Items (1,491)
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- All Subjects: Songs (High voice) with piano
ContributorsMartorana, Gabrielle (Performer) / Olarte, Aida (Performer) / ASU Library. Music Library (Publisher)
Created2018-03-20
Description
Using a simple $SI$ infection model, I uncover the
overall dynamics of the system and how they depend on the incidence
function. I consider both an epidemic and endemic perspective of the
model, but in both cases, three classes of incidence
functions are identified.
In the epidemic form,
power incidences, where the infective portion $I^p$ has $p\in(0,1)$,
cause unconditional host extinction,
homogeneous incidences have host extinction for certain parameter constellations and
host survival for others, and upper density-dependent incidences
never cause host extinction. The case of non-extinction in upper
density-dependent
incidences extends to the case where a latent period is included.
Using data from experiments with rhanavirus and salamanders,
maximum likelihood estimates are applied to the data.
With these estimates,
I generate the corrected Akaike information criteria, which
reward a low likelihood and punish the use of more parameters.
This generates the Akaike weight, which is used to fit
parameters to the data, and determine which incidence functions
fit the data the best.
From an endemic perspective, I observe
that power incidences cause initial condition dependent host extinction for
some parameter constellations and global stability for others,
homogeneous incidences have host extinction for certain parameter constellations and
host survival for others, and upper density-dependent incidences
never cause host extinction.
The dynamics when the incidence function is homogeneous are deeply explored.
I expand the endemic considerations in the homogeneous case
by adding a predator into the model.
Using persistence theory, I show the conditions for the persistence of each of the
predator, prey, and parasite species. Potential dynamics of the system include parasite mediated
persistence of the predator, survival of the ecosystem at high initial predator levels and
ecosystem collapse at low initial predator levels, persistence of all three species, and much more.
overall dynamics of the system and how they depend on the incidence
function. I consider both an epidemic and endemic perspective of the
model, but in both cases, three classes of incidence
functions are identified.
In the epidemic form,
power incidences, where the infective portion $I^p$ has $p\in(0,1)$,
cause unconditional host extinction,
homogeneous incidences have host extinction for certain parameter constellations and
host survival for others, and upper density-dependent incidences
never cause host extinction. The case of non-extinction in upper
density-dependent
incidences extends to the case where a latent period is included.
Using data from experiments with rhanavirus and salamanders,
maximum likelihood estimates are applied to the data.
With these estimates,
I generate the corrected Akaike information criteria, which
reward a low likelihood and punish the use of more parameters.
This generates the Akaike weight, which is used to fit
parameters to the data, and determine which incidence functions
fit the data the best.
From an endemic perspective, I observe
that power incidences cause initial condition dependent host extinction for
some parameter constellations and global stability for others,
homogeneous incidences have host extinction for certain parameter constellations and
host survival for others, and upper density-dependent incidences
never cause host extinction.
The dynamics when the incidence function is homogeneous are deeply explored.
I expand the endemic considerations in the homogeneous case
by adding a predator into the model.
Using persistence theory, I show the conditions for the persistence of each of the
predator, prey, and parasite species. Potential dynamics of the system include parasite mediated
persistence of the predator, survival of the ecosystem at high initial predator levels and
ecosystem collapse at low initial predator levels, persistence of all three species, and much more.
ContributorsFarrell, Alexander E. (Author) / Thieme, Horst R (Thesis advisor) / Smith, Hal (Committee member) / Kuang, Yang (Committee member) / Tang, Wenbo (Committee member) / Collins, James (Committee member) / Arizona State University (Publisher)
Created2017
Description
This dissertation describes the public sphere that coalesced in the Soviet jazz scene during Josef Stalin’s reign. Scholars debate the extent to which Soviet citizens, especially under Stalin, were coerced into cooperating with the regime through terror; willingly cooperated with the regime out of self-interest; or re-aligned their speech, behavior, and thoughts to conform to Bolshevik ideology and discourse. In all cases, citizens were generally unable to openly express their own opinions on what Soviet society should look like. In this dissertation, I attempt to bridge this gap by analyzing the diverse reactions to jazz music in Josef Stalin’s Soviet Union. I argue that audience engagement with jazz and discussions about the genre in the Soviet press and elsewhere were attempts to grapple with bigger questions of public concern about leisure, morality, ethnicity, cosmopolitanism and patriotism in a socialist society. This jazz public sphere was suppressed in the late 1940s and early 1950s because of Cold War paranoia and fears of foreign influences in Soviet life. In its place, a counterpublic sphere formed, in which jazz enthusiasts expressed views on socialism that were more open and contradictory to official norms. This counterpublic sphere foreshadowed aspects of post-Stalinist Soviet culture. To support my arguments, I employ archival documents such as fan mail and censorship records, periodicals, memoirs, and Stalin-era jazz recordings to determine the themes present in jazz music, how audiences reacted to them, and how these popular reactions overlapped with those of journalists, musicologists, bureaucrats, and composers. This project expands our understanding of when and where public spheres can form, challenges top-down interpretations of Soviet cultural policy, and illuminates the Soviet Union and Russia’s ambivalent relationship with the West and its culture.
ContributorsBeresford, Benjamin J. (Author) / Von Hagen, Mark (Thesis advisor) / Manchester, Laurie (Committee member) / Schmelz, Peter (Committee member) / Moore, Aaron (Committee member) / Arizona State University (Publisher)
Created2017
ContributorsBan, Banlingyu (Performer) / ASU Library. Music Library (Publisher)
Created2018-04-10
ContributorsMcHardy, Haley (Performer) / ASU Library. Music Library (Publisher)
Created2018-03-30
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 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
ContributorsCaupp, Acadia (Contributor) / ASU Library. Music Library (Publisher)
Created2018-03-27
Description
My proposed project is an educational application that will seek to simplify the<br/>process of internalizing the chord symbols most commonly seen by those learning<br/>musical improvisation. The application will operate like a game, encouraging the<br/>user to identify chord tones within time limits and award points for successfully<br/>doing so.
ContributorsOwens, Kevin Bradyn (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
ContributorsBates, Ashton (Performer) / Zhang, Dongfang (Performer) / ASU Library. Music Library (Publisher)
Created2018-04-14
ContributorsBlake, Ethan (Performer) / ASU Library. Music Library (Publisher)
Created2018-04-17