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Description
The Experimental Data Processing (EDP) software is a C++ GUI-based application to streamline the process of creating a model for structural systems based on experimental data. EDP is designed to process raw data, filter the data for noise and outliers, create a fitted model to describe that data, complete a probabilistic analysis to describe the variation between replicates of the experimental process, and analyze reliability of a structural system based on that model. In order to help design the EDP software to perform the full analysis, the probabilistic and regression modeling aspects of this analysis have been explored. The focus has been on creating and analyzing probabilistic models for the data, adding multivariate and nonparametric fits to raw data, and developing computational techniques that allow for these methods to be properly implemented within EDP. For creating a probabilistic model of replicate data, the normal, lognormal, gamma, Weibull, and generalized exponential distributions have been explored. Goodness-of-fit tests, including the chi-squared, Anderson-Darling, and Kolmogorov-Smirnoff tests, have been used in order to analyze the effectiveness of any of these probabilistic models in describing the variation of parameters between replicates of an experimental test. An example using Young's modulus data for a Kevlar-49 Swath stress-strain test was used in order to demonstrate how this analysis is performed within EDP. In order to implement the distributions, numerical solutions for the gamma, beta, and hypergeometric functions were implemented, along with an arbitrary precision library to store numbers that exceed the maximum size of double-precision floating point digits. To create a multivariate fit, the multilinear solution was created as the simplest solution to the multivariate regression problem. This solution was then extended to solve nonlinear problems that can be linearized into multiple separable terms. These problems were solved analytically with the closed-form solution for the multilinear regression, and then by using a QR decomposition to solve numerically while avoiding numerical instabilities associated with matrix inversion. For nonparametric regression, or smoothing, the loess method was developed as a robust technique for filtering noise while maintaining the general structure of the data points. The loess solution was created by addressing concerns associated with simpler smoothing methods, including the running mean, running line, and kernel smoothing techniques, and combining the ability of each of these methods to resolve those issues. The loess smoothing method involves weighting each point in a partition of the data set, and then adding either a line or a polynomial fit within that partition. Both linear and quadratic methods were applied to a carbon fiber compression test, showing that the quadratic model was more accurate but the linear model had a shape that was more effective for analyzing the experimental data. Finally, the EDP program itself was explored to consider its current functionalities for processing data, as described by shear tests on carbon fiber data, and the future functionalities to be developed. The probabilistic and raw data processing capabilities were demonstrated within EDP, and the multivariate and loess analysis was demonstrated using R. As the functionality and relevant considerations for these methods have been developed, the immediate goal is to finish implementing and integrating these additional features into a version of EDP that performs a full streamlined structural analysis on experimental data.
ContributorsMarkov, Elan Richard (Author) / Rajan, Subramaniam (Thesis director) / Khaled, Bilal (Committee member) / Chemical Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Ira A. Fulton School of Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Over the past three decades, medical anthropology research, published within both public health and anthropological journals, demonstrates both the prevalence of traditional folk medicine in Latino populations in the United States and the potential difficulty of negotiating these beliefs and practices with clinical, western biomedicine. I bring attention to what might be a narrative of divergent values that occurs in Latino communities in the United States. A well-documented source (Pachter, 1994) of this clash is the culturally pervasive use of folk medicine in Latino layperson populations seeking biomedical care in the Unites States (U.S.). Numerous studies (Padilla, 2001; Koss 1972) suggest that a significant portion of Latinos in the continental United States call upon folk knowledge to diagnose, reinterpret, and treat illness. The Puerto Rican population seems to be no exception, though few studies are specific to native-born Puerto Ricans living in Puerto Rico, where the issue of access to quality public health care becomes increasingly problematic. In this honors undergraduate thesis project, I conduct a review of the literature that bridges anthropology and public health research and proceed to describe a study I conducted on Culebra Island, Puerto Rico in May of 2015. The study aims to determine whether patient satisfaction can be linked to being treated by a physician hailing from a similar cultural background, or if an irredeemable disparity between patient and provider present a roadblock to health outcomes. I found that the Puerto Rican physicians are receptive to folk illness (symptoms) and consider folk therapy as part of the treatment regimen. The physicians make patients feel understood, which might improve treatment adherence and thus health outcomes. Still, respondents demonstrated that there is high patient trust in the biomedical model by emphasizing the use of conventional medications in tandem with the folk therapy. Nevertheless, the health care provider's disposition in regards to folk knowledge and modalities are important but does not present a roadblock to optimal care and health outcomes as much as access, available services or clinic resources.
ContributorsVanasse-Torres, Elena Georgina (Author) / Maupin, Jonathan (Thesis director) / Maienschein, Jane (Thesis director) / MartÃÂnez, AirÃÂn (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Twilight Sleep was a technique originally developed by physicians in Germany in the early 20th century as a novel way to address parturient women’s fear and aversion to pain endured during labor and childbirth. Using a combination of amnestic and analgesic agents such as scopolamine and morphine to synergistically suppress pregnant women’s memories, physicians Carl Gauss and Bernhard Krönig enabled women to give birth free of pain, or more accurately any memories of pain.
Despite widespread use throughout Europe, Twilight Sleep initially experienced less popularity and more resistance in the United States where doctors were wary of the potential health risks that Twilight Sleep brought upon women and infants. Some adverse effects caused by incorrect doses of scopolamine and morphine included hallucinations and uncontrolled thrashing in women and depressed respiration in infants. Thus, Twilight Sleep’s status as a vogue topic in obstetrics during the first half of the 20th century came about due to the work of affluent and educated American women. While lacking formal medical training, a subset of women became experts in the matter of Twilight Sleep by traveling to Germany to experience and investigate Twilight Sleep firsthand then disseminating their findings through published books and articles.
This thesis explores the impact of Twilight Sleep on women and physicians and their perceptions of childbirth. Twilight Sleep empowered women to take on a more active role in shaping the medical care they received rather than accepting that childbirth as a natural event associated with physical and mental trauma and high risk of mortality. For doctors, the debate regarding Twilight Sleep’s safety and efficacy affirmed a ubiquitous notion that childbirth ought to be seen as a pathological rather than natural event. By considering childbirth a medical condition that necessitated treatment, physicians had to evaluate their duties to their patients. In empowering women to be involved in making medical decisions and forcing physicians to balance their medical training with their patients’ needs, Twilight Sleep helped to establishing more reciprocal doctor-patient relationships.
Despite widespread use throughout Europe, Twilight Sleep initially experienced less popularity and more resistance in the United States where doctors were wary of the potential health risks that Twilight Sleep brought upon women and infants. Some adverse effects caused by incorrect doses of scopolamine and morphine included hallucinations and uncontrolled thrashing in women and depressed respiration in infants. Thus, Twilight Sleep’s status as a vogue topic in obstetrics during the first half of the 20th century came about due to the work of affluent and educated American women. While lacking formal medical training, a subset of women became experts in the matter of Twilight Sleep by traveling to Germany to experience and investigate Twilight Sleep firsthand then disseminating their findings through published books and articles.
This thesis explores the impact of Twilight Sleep on women and physicians and their perceptions of childbirth. Twilight Sleep empowered women to take on a more active role in shaping the medical care they received rather than accepting that childbirth as a natural event associated with physical and mental trauma and high risk of mortality. For doctors, the debate regarding Twilight Sleep’s safety and efficacy affirmed a ubiquitous notion that childbirth ought to be seen as a pathological rather than natural event. By considering childbirth a medical condition that necessitated treatment, physicians had to evaluate their duties to their patients. In empowering women to be involved in making medical decisions and forcing physicians to balance their medical training with their patients’ needs, Twilight Sleep helped to establishing more reciprocal doctor-patient relationships.
ContributorsTran, Yvette Ho (Author) / Maienschein, Jane (Thesis director) / Hurlbut, Ben (Committee member) / O'Neil, Erica (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Nitrous oxide (N2O) is a major contributor to the greenhouse effect and to stratospheric ozone depletion. In soils, nitrogen reduction is performed by biotic and abiotic processes, including microbial denitrification and chemical denitrification. Chemical denitrification, or chemodenitrification, is the abiotic step-wise reduction of nitrate (NO3-), nitrite (NO2-), or nitric oxide (NO) to N2O in anoxic environments, with high turnover rates particularly in acidic soils. Chemodenitrification was identified in various environments, but the mechanism is still not understood. In this study, the factors influencing abiotic reduction of NO2- to N2O in acidic tropical peat soil are examined. These factors include pH, organic matter content, and dissolved ferrous iron. Anoxic peat soil from sites located in the Peruvian Amazon was used for incubations. The results show that peat soil (pH ~4.5) appears to reduce NO2- more quickly in the presence of lower pH and higher Fe(II) concentrations. NO2- is completely reduced in excess Fe(II), and Fe(II) is completely oxidized in excess NO2-, providing evidence for the proposed mechanism of chemodenitrification. In addition, first order reaction rate constants kFe(II) and kNO2- were calculated using concentration measurements over 4 hours, to test for the hypothesized reaction rate relationships kFe(II): kFe(II) kFe(II)~NO2- > kFe(II)>NO2- and kNO2-: kFe(II)NO2-. The NO2- k values followed the anticipated pattern, although the Fe(II) k value data was inconclusive. Organic material may also play a role in NO2- reduction through chemodenitrification, and future experimentation will test this possibility. How and to what extent the pH and the concentrations of organic matter and Fe(II) affect the kinetic rate of chemodenitrification will lend insight into the N2O production potential of natural tropical peatlands.
ContributorsTylor, Kaitlyn Marie (Author) / Cadillo-Quiroz, Hinsby (Thesis director) / Day, Thomas (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Triops (Branchiopoda: Notostraca) and Streptocephalus (Branchiopoda: Anostraca) are two crustaceans which cohabitate in ephemeral freshwater pools. They both lay desiccation resistant eggs that disperse passively to new hydrologically isolated environments. The extent of genetic distance among regions and populations is of perennial interest in animals that live in such isolated habitats. Populations in six natural ephemeral pool habitats located in two different regions of the Sonoran Desert and a transition area between the Sonoran and Chihuahuan Deserts were sampled. Sequences from Genbank were used for reference points in the determination of species as well as to further identify regional genetic distance within species. This study estimated the amount of within and between genetic distance of individuals from each region and population through the use of a neutral marker, cytochrome oxidase I (COI). We concluded that, although the method of passive dispersal may differ between the two genera, the differences do not results in different patterns of genetic distances between regions and populations. Furthermore, we only found the putative species, Triops longicaudatus "short", with enough distinct speciation. Although Triops longicaudatus "long" and Triops newberryi may be in the early stages of speciation, this study does not find enough support to conclude that they have separated.
ContributorsMurphy Jr., Patrick Joseph (Author) / Rutowski, Ronald (Thesis director) / Cartwright, Reed (Committee member) / Lessios, Nikos (Committee member) / School of Life Sciences (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo Semler, and William Gore, have been conducted in order to observe an apparent pattern. This data, coupled with the data from Michael Boehringer's story, is used to formulate a solution to the proposed problem. Each case study is designed to observe characteristics of the individuals that allow them to be successful and exhibit traits of happiness. Happiness will be analyzed in terms of passion and desire to perform consistently. Someone who does what they love, paired with the ability to perform on a regular basis, is considered to be a happy person. The data indicates that there is an observable pattern within the results. From this pattern, certain traits have been highlighted and used to formulate guidelines that will aid someone falling short of success and happiness in their lives. The results indicate that there are simple questions that can guide people to a happier life. Three basic questions are defined: is it something you love, can you see yourself doing this every day and does it add value? If someone can answer yes to all three requirements, the person will be able to find happiness, with success following. These guidelines can be taken and applied to those struggling with unhappiness and failure. By creating such a formula, the youth can be taught a new way of thinking that will help to eliminate these issues, that many people are facing.
ContributorsBoehringer, Michael Alexander (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Dogs' health and wellbeing is of great importance to their owners. The most common nutritional problem for pet dogs is obesity, with 22-40% of pet dogs being classified as overweight or obese. With many adverse health effects associated with obesity, this is a major concern for owners and veterinarians. The degree to which dogs enjoy consuming certain foods can have substantial implications for their body weight, so it is important to understand which aspects of foods make them appealing to dogs. This study aimed to determine whether nutritional aspects of commercial dog foods predict dogs' preferences for those foods. It was found that consumption preference is positively correlated with protein content (p < .001), therefore implying that the protein content of commercial dry dog foods may predict dogs' consumption preferences. Consumption preferences were not predicted by other available measures of food content or caloric value. Dogs' preference for foods high in protein content may be due to the satiating effect of protein. Since foods high in protein both reduce the amount of energy consumed and are found to be palatable to dogs, high-protein dog foods may offer a way for dog food manufacturers, veterinarians, and pet owners to combat obesity in pet dogs.
ContributorsPrevost, Emily Danielle (Author) / Wynne, Clive (Thesis director) / Hall, Nathaniel (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of our research was to develop recommendations and/or strategies for Company A's data center group in the context of the server CPU chip industry. We used data collected from the International Data Corporation (IDC) that was provided by our team coaches, and data that is accessible on the internet. As the server CPU industry expands and transitions to cloud computing, Company A's Data Center Group will need to expand their server CPU chip product mix to meet new demands of the cloud industry and to maintain high market share. Company A boasts leading performance with their x86 server chips and 95% market segment share. The cloud industry is dominated by seven companies Company A calls "The Super 7." These seven companies include: Amazon, Google, Microsoft, Facebook, Alibaba, Tencent, and Baidu. In the long run, the growing market share of the Super 7 could give them substantial buying power over Company A, which could lead to discounts and margin compression for Company A's main growth engine. Additionally, in the long-run, the substantial growth of the Super 7 could fuel the development of their own design teams and work towards making their own server chips internally, which would be detrimental to Company A's data center revenue. We first researched the server industry and key terminology relevant to our project. We narrowed our scope by focusing most on the cloud computing aspect of the server industry. We then researched what Company A has already been doing in the context of cloud computing and what they are currently doing to address the problem. Next, using our market analysis, we identified key areas we think Company A's data center group should focus on. Using the information available to us, we developed our strategies and recommendations that we think will help Company A's Data Center Group position themselves well in an extremely fast growing cloud computing industry.
ContributorsJurgenson, Alex (Co-author) / Nguyen, Duy (Co-author) / Kolder, Sean (Co-author) / Wang, Chenxi (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Management (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Learning how to manage time efficiently is something that many people struggle with, college students in particular. The purpose of this study was to examine if personalization via self-experimentation of strategies to improve time management skills is a useful strategy for achieving this goal. This study used a multiple baseline approach with three phases: phase one, the baseline, phase two, which included individuals receiving examples of plausible strategies to improve time management skills, and phase three, which involved the self-experimentation component. Results of this study suggest no significant changes in time management based on self-reported completion of tasks but do indicate a trend towards improved time management skills overall based on the time management questionnaire taken at the beginning and end of the study. These results suggest that further exploration in the use of self-experimentation strategies for improving time management is likely warranted but that current strategies likely require additional research. Results from the interviews indicate that the self-experimentation strategy, as delivered via PACO does increase awareness and thinking about time management.
ContributorsCope, Breanna (Author) / Hekler, Eric (Thesis director) / Buman, Matthew (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Space microbiology, or the study of microorganisms in space, has significant applications for both human spaceflight and Earth-based medicine. This thesis traces the evolution of the field of space microbiology since its creation in 1935. Beginning with simple studies to determine if terrestrial life could survive spaceflight, the field of space microbiology has grown to encompass a substantial body of work that is now recognized as an essential component of NASA' research endeavors. Part one provides an overview of the early period of space microbiology, from high-altitude balloon and rocket studies to work conducted during the Apollo program. Part two summarizes the current state of the field, with a specific focus on the revolutionary contributions made by the Nickerson lab at the Biodesign Institute at ASU using the NASA-designed Rotating Wall Vessel (RWV) Bioreactor. Finally, part three highlights the research I've conducted in the Nickerson lab, as well as continuing studies within the field of space microbiology.
ContributorsMcCarthy, Breanne E. (Author) / Lynch, John (Thesis director) / Foy, Joseph (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05