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Description
The purpose of this thesis is to examine the events surrounding the creation of the oboe and its rapid spread throughout Europe during the mid to late seventeenth century. The first section describes similar instruments that existed for thousands of years before the invention of the oboe. The following sections examine reasons and methods for the oboe's invention, as well as possible causes of its migration from its starting place in France to other European countries, as well as many other places around the world. I conclude that the oboe was invented to suit the needs of composers in the court of Louis XIV, and that it was brought to other countries by French performers who left France for many reasons, including to escape from the authority of composer Jean-Baptiste Lully and in some cases to promote French culture in other countries.
ContributorsCook, Mary Katherine (Author) / Schuring, Martin (Thesis director) / Micklich, Albie (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Music (Contributor)
Created2015-05
Description
In this paper, I analyze representations of nature in popular film, using the feminist / deconstructionist concept of a dualism to structure my critique. Using Val Plumwood’s analysis of the logical structure of dualism and the 5 ‘features of a dualism’ that she identifies, I critique 5 popular movies – Star Wars, Lord of the Rings, Brave, Grizzly Man, and Planet Earth – by locating within each of them one of the 5 features and explaining how the movie functions to reinforce the Nature/Culture dualism . By showing how the Nature/Culture dualism shapes and is shaped by popular cinema, I show how “Nature” is a social construct, created as part of this very dualism, and reified through popular culture. I conclude with the introduction of a number of ‘subversive’ pieces of visual art that undermine and actively deconstruct the Nature/Culture dualism and show to the viewer a more honest presentation of the non-human world.
ContributorsBarton, Christopher Joseph (Author) / Broglio, Ron (Thesis director) / Minteer, Ben (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2015-05
Description
We model communication among social insects as an interacting particle system in which individuals perform one of two tasks and neighboring sites anti-mimic one another. Parameters of our model are a probability of defection 2 (0; 1) and relative cost ci > 0 to the individual performing task i. We examine this process on complete graphs, bipartite graphs, and the integers, answering questions about the relationship between communication, defection rates and the division of labor. Assuming the division of labor is ideal when exactly half of the colony is performing each task, we nd that on some bipartite graphs and the integers it can eventually be made arbitrarily close to optimal if defection rates are sufficiently small. On complete graphs the fraction of individuals performing each task is also closest to one half when there is no defection, but is bounded by a constant dependent on the relative costs of each task.
ContributorsArcuri, Alesandro Antonio (Author) / Lanchier, Nicolas (Thesis director) / Kang, Yun (Committee member) / Fewell, Jennifer (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
From 2007 to 2017, the state of California experienced two major droughts that required significant governmental action to decrease urban water demand. The purpose of this project is to isolate and explore the effects of these policy changes on water use during and after these droughts, and to see how these policies interact with hydroclimatic variability. As explanatory variables in multiple linear regression (MLR) models, water use policies were found to be significant at both the zip code and city levels. Policies that specifically target behavioral changes were significant mathematical drivers of water use in city-level models. Policy data was aggregated into a timeline and coded based on categories including user type, whether the policy was voluntary or mandatory, the targeted water use type, and whether the change in question concerns active or passive conservation. The analyzed policies include but are not limited to state drought declarations, regulatory municipal ordinances, and incentive programs for household appliances. Spatial averages of available hydroclimatic data have been computed and validated using inverse distance weighting methods. The data was aggregated at the zip code level to be comparable to the available water use data for use in MLR models. Factors already known to affect water use, such as temperature, precipitation, income, and water stress, were brought into the MLR models as explanatory variables. After controlling for these factors, the timeline policies were brought into the model as coded variables to test their effect on water demand during the years 2000-2017. Clearly identifying which policy traits are effective will inform future policymaking in cities aiming to conserve water. The findings suggest that drought-related policies impact per capita urban water use. The results of the city level MLR models indicate that implementation of mandatory policies that target water use behaviors effectively reduce water use. Temperature, income, unemployment, and the WaSSI were also observed to be mathematical drivers of water use. Interaction effects between policies and the WaSSI were statistically significant at both model scales.
ContributorsHjelmstad, Annika Margaret (Author) / Garcia, Margaret (Thesis director) / Larson, Kelli (Committee member) / Civil, Environmental and Sustainable Eng Program (Contributor, Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
DescriptionExplore the implications that both sustainability and branding have on the built environment in order to develop a health an wellness center that promotes a balanced lifestyle for two targets users, which are of entirely different demographics.
ContributorsRachford, Paris Kristen (Author) / Shraiky, James (Thesis director) / Brandt, Beverly (Committee member) / Thomson, Eric (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor)
Created2013-05
Description
Serge Galams voting systems and public debate models are used to model voting behaviors of two competing opinions in democratic societies. Galam assumes that individuals in the population are independently in favor of one opinion with a fixed probability p, making the initial number of that type of opinion a binomial random variable. This analysis revisits Galams models from the point of view of the hypergeometric random variable by assuming the initial number of individuals in favor of an opinion is a fixed deterministic number. This assumption is more realistic, especially when analyzing small populations. Evolution of the models is based on majority rules, with a bias introduced when there is a tie. For the hier- archical voting system model, in order to derive the probability that opinion +1 would win, the analysis was done by reversing time and assuming that an individual in favor of opinion +1 wins. Then, working backwards we counted the number of configurations at the next lowest level that could induce each possible configuration at the level above, and continued this process until reaching the bottom level, i.e., the initial population. Using this method, we were able to derive an explicit formula for the probability that an individual in favor of opinion +1 wins given any initial count of that opinion, for any group size greater than or equal to three. For the public debate model, we counted the total number of individuals in favor of opinion +1 at each time step and used this variable to define a random walk. Then, we used first-step analysis to derive an explicit formula for the probability that an individual in favor of opinion +1 wins given any initial count of that opinion for group sizes of three. The spatial public debate model evolves based on the proportional rule. For the spatial model, the most natural graphical representation to construct the process results in a model that is not mathematically tractable. Thus, we defined a different graphical representation that is mathematically equivalent to the first graphical representation, but in this model it is possible to define a dual process that is mathematically tractable. Using this graphical representation we prove clustering in 1D and 2D and coexistence in higher dimensions following the same approach as for the voter model interacting particle system.
ContributorsTaylor, Nicole Robyn (Co-author) / Lanchier, Nicolas (Co-author, Thesis director) / Smith, Hal (Committee member) / Hurlbert, Glenn (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2013-05
Description
As society's energy crisis continues to become more imminent many industries and niches are seeking a new, sustainable and renewable source of electricity production. Similar to solar, wind and tidal energy, kinetic energy has the potential to generate electricity as an extremely renewable source of energy generation. While stationary bicycles can generate small amounts of electricity, the idea behind this project was to expand energy generation into the more common weight lifting side of exercising. The method for solving this problem was to find the average amount of power generated per user on a Smith machine and determine how much power was available from an accompanying energy generator. The generator consists of three phases: a copper coil and magnet generator, a full wave bridge rectifying circuit and a rheostat. These three phases working together formed a fully functioning controllable generator. The resulting issue with the kinetic energy generator was that the system was too inefficient to serve as a viable system for electricity generation. The electrical production of the generator only saved about 2 cents per year based on current Arizona electricity rates. In the end it was determined that the project was not a sustainable energy generation system and did not warrant further experimentation.
ContributorsO'Halloran, Ryan James (Author) / Middleton, James (Thesis director) / Hinrichs, Richard (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / The Design School (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2014-05
Description
College and university campuses can play an important role in a student’s life, and campus outdoor spaces have the ability to positively impact various aspects of student health and well-being. It has long been understood that natural environments can promote health and well being, and in recent years research has begun to examine the impact of parks and landscapes in urban settings on subjective well-being (SWB). Subjective well-being (aka “happiness”) refers to
one’s self-reported measure of well-being and is thought of as having a high level of positive affect, low level of negative affect, and high degree of life satisfaction (Diener, 1984).
This study was conducted to assess the interrelationships between affective experiences, SWB, and usage of campus outdoor spaces in order to learn how outdoor spaces on the Arizona State University (ASU) Tempe campus can be enhanced to increase SWB and usage. In total, 832 students completed a survey questionnaire 1,140 times for six campus outdoor spaces. The results showed that students experience the greatest amount of happiness in the Secret Garden
and James Turrell ASU Skyspace, relaxation/restoration is the affective experience most strongly related to SWB, and SWB is negatively correlated with frequency of visits but positively link with duration of visits. To improve student happiness and usage of outdoor spaces on campuses, planners and designers should work on increasing the relaxing/restorative qualities of existing
locations, creating new spaces for relaxation/restoration around campus, reducing the perception of crowding and noise in large spaces, increasing fun/excitement by adding stimuli and/or opportunities for activity and entertainment, and adding equipment necessary for students to perform the activities they want. In addition to the ASU Tempe campus, the methodology and
findings of this research could be used to improve outdoor spaces on other college and university campuses and other types of outdoor environments.
one’s self-reported measure of well-being and is thought of as having a high level of positive affect, low level of negative affect, and high degree of life satisfaction (Diener, 1984).
This study was conducted to assess the interrelationships between affective experiences, SWB, and usage of campus outdoor spaces in order to learn how outdoor spaces on the Arizona State University (ASU) Tempe campus can be enhanced to increase SWB and usage. In total, 832 students completed a survey questionnaire 1,140 times for six campus outdoor spaces. The results showed that students experience the greatest amount of happiness in the Secret Garden
and James Turrell ASU Skyspace, relaxation/restoration is the affective experience most strongly related to SWB, and SWB is negatively correlated with frequency of visits but positively link with duration of visits. To improve student happiness and usage of outdoor spaces on campuses, planners and designers should work on increasing the relaxing/restorative qualities of existing
locations, creating new spaces for relaxation/restoration around campus, reducing the perception of crowding and noise in large spaces, increasing fun/excitement by adding stimuli and/or opportunities for activity and entertainment, and adding equipment necessary for students to perform the activities they want. In addition to the ASU Tempe campus, the methodology and
findings of this research could be used to improve outdoor spaces on other college and university campuses and other types of outdoor environments.
ContributorsDavis, Kara (Author) / Cheng, Chingwen (Thesis director) / Cloutier, Scott (Committee member) / School of Sustainability (Contributor) / Dean, W.P. Carey School of Business (Contributor) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Cryptocurrencies have become one of the most fascinating forms of currency and economics due to their fluctuating values and lack of centralization. This project attempts to use machine learning methods to effectively model in-sample data for Bitcoin and Ethereum using rule induction methods. The dataset is cleaned by removing entries with missing data. The new column is created to measure price difference to create a more accurate analysis on the change in price. Eight relevant variables are selected using cross validation: the total number of bitcoins, the total size of the blockchains, the hash rate, mining difficulty, revenue from mining, transaction fees, the cost of transactions and the estimated transaction volume. The in-sample data is modeled using a simple tree fit, first with one variable and then with eight. Using all eight variables, the in-sample model and data have a correlation of 0.6822657. The in-sample model is improved by first applying bootstrap aggregation (also known as bagging) to fit 400 decision trees to the in-sample data using one variable. Then the random forests technique is applied to the data using all eight variables. This results in a correlation between the model and data of 9.9443413. The random forests technique is then applied to an Ethereum dataset, resulting in a correlation of 9.6904798. Finally, an out-of-sample model is created for Bitcoin and Ethereum using random forests, with a benchmark correlation of 0.03 for financial data. The correlation between the training model and the testing data for Bitcoin was 0.06957639, while for Ethereum the correlation was -0.171125. In conclusion, it is confirmed that cryptocurrencies can have accurate in-sample models by applying the random forests method to a dataset. However, out-of-sample modeling is more difficult, but in some cases better than typical forms of financial data. It should also be noted that cryptocurrency data has similar properties to other related financial datasets, realizing future potential for system modeling for cryptocurrency within the financial world.
ContributorsBrowning, Jacob Christian (Author) / Meuth, Ryan (Thesis director) / Jones, Donald (Committee member) / McCulloch, Robert (Committee member) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The trends of products made by today’s companies follow a traditional linear economy where materials for products and services are taken, made, and then used until they are disposed of. In this model cheap materials are relied on in large amounts and our current rate of usage is unsustainable. Pollution and climate change are effects of this linear economy, and in order to secure a sustainable future for life on this planet, this model is not fit. A circular business model is the future for companies and products. Circular design and biomimicry are at the forefront of this transition. In conjuncture with the InnovationSpace program, I have developed a product for, and sponsored by, Adidas. The product utilizes a circular business model and a sustainable product ecosystem after using biomimicry as a tool for inspiration. The project was driven by this primary research question presented by Adidas: How can we embrace a true circular economy with far more reuse and recycling incorporated, while ensuring that all products travel from factory to foot in a more sustainable way while providing an engaging consumer experience? The goal
of this project was to generate solutions that can be applied to a broad range of products at Adidas.
The product developed is called Neomod, a modular shoe system. People buy shoes both for fashion and function, with the average American owning nineteen pairs. However, countless numbers of partially worn shoes end up in landfills because the materials they are made of are difficult to separate and replace. This is why we designed Neomod; a modular shoe made with interchangeable parts. It makes recycling shoes simpler, but at the same time, provides users with a variety of styles to mix and match to fit their lifestyle. Neomod’s goal is to minimize the amount of waste created and allows all parts of the shoe to be used until its end of life. As consumers buy, recycle, and reuse Neomod shoes, they will help the world work towards a more circular economy.
The product developed is called Neomod, a modular shoe system. People buy shoes both for fashion and function, with the average American owning nineteen pairs. However, countless numbers of partially worn shoes end up in landfills because the materials they are made of are difficult to separate and replace. This is why we designed Neomod; a modular shoe made with interchangeable parts. It makes recycling shoes simpler, but at the same time, provides users with a variety of styles to mix and match to fit their lifestyle. Neomod’s goal is to minimize the amount of waste created and allows all parts of the shoe to be used until its end of life. As consumers buy, recycle, and reuse Neomod shoes, they will help the world work towards a more circular economy.
ContributorsReniewicki, Johnathan Robert (Author) / Sanft, Alfred (Thesis director) / Boradkar, Prasad (Committee member) / The Design School (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05