Matching Items (186)
Description
Surveys have shown that several hundred billion weather forecasts are obtained by the United States public each year, and that weather news is one of the most consumed topics in the media. This indicates that the forecast provides information that is significant to the public, and that the public utilizes details associated with it to inform aspects of their life. Phoenix, Arizona is a dry, desert region that experiences a monsoon season and extreme heat. How then, does the weather forecast influence the way Phoenix residents make decisions? This paper aims to draw connections between the weather forecast, decision making, and people who live in a desert environment. To do this, a ten-minute survey was deployed through Amazon Mechanical Turk (MTurk) in which 379 respondents were targeted. The survey asks 45 multiple choice and ranking questions categorized into four sections: obtainment of the forecast, forecast variables of interest, informed decision making based on unique weather variables, and demographics. This research illuminates how residents in the Phoenix metropolitan area use the local weather forecast for decision-making on daily activities, and the main meteorological factors that drive those decisions.
ContributorsMarturano, Julia (Author) / Middel, Ariane (Thesis director) / Schneider, Florian (Committee member) / School of Geographical Sciences and Urban Planning (Contributor, Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This project uses the tintype process to create contemporary portraits. The tintype is a nineteenth century photographic process that creates a direct positive on a sheet of metal. The images were created using the same process from the 1800s, as well as a more contemporary method. The natural imperfections caused by both processes were used to help examine the intimacy and emotion present in the portraits.
ContributorsRichey, Jordyn Elizabeth (Author) / Danh, Binh (Thesis director) / Schneider, Betsy (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / School of Art (Contributor)
Created2014-05
Description
Surface plasmon resonance (SPR) has emerged as a popular technique for elucidating subtle signals from biological events in a label-free, high throughput environment. The efficacy of conventional SPR sensors, whose signals are mass-sensitive, diminishes rapidly with the size of the observed target molecules. The following work advances the current SPR sensor paradigm for the purpose of small molecule detection. The detection limits of two orthogonal components of SPR measurement are targeted: speed and sensitivity. In the context of this report, speed refers to the dynamic range of measured kinetic rate constants, while sensitivity refers to the target molecule mass limitation of conventional SPR measurement. A simple device for high-speed microfluidic delivery of liquid samples to a sensor surface is presented to address the temporal limitations of conventional SPR measurement. The time scale of buffer/sample switching is on the order of milliseconds, thereby minimizing the opportunity for sample plug dispersion. The high rates of mass transport to and from the central microfluidic sensing region allow for SPR-based kinetic analysis of binding events with dissociation rate constants (kd) up to 130 s-1. The required sample volume is only 1 μL, allowing for minimal sample consumption during high-speed kinetic binding measurement. Charge-based detection of small molecules is demonstrated by plasmonic-based electrochemical impedance microscopy (P-EIM). The dependence of surface plasmon resonance (SPR) on surface charge density is used to detect small molecules (60-120 Da) printed on a dextran-modified sensor surface. The SPR response to an applied ac potential is a function of the surface charge density. This optical signal is comprised of a dc and an ac component, and is measured with high spatial resolution. The amplitude and phase of local surface impedance is provided by the ac component. The phase signal of the small molecules is a function of their charge status, which is manipulated by the pH of a solution. This technique is used to detect and distinguish small molecules based on their charge status, thereby circumventing the mass limitation (~100 Da) of conventional SPR measurement.
ContributorsMacGriff, Christopher Assiff (Author) / Tao, Nongjian (Thesis advisor) / Wang, Shaopeng (Committee member) / LaBaer, Joshua (Committee member) / Chae, Junseok (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation investigates the condition of skeletal muscle insulin resistance using bioinformatics and computational biology approaches. Drawing from several studies and numerous data sources, I have attempted to uncover molecular mechanisms at multiple levels. From the detailed atomistic simulations of a single protein, to datamining approaches applied at the systems biology level, I provide new targets to explore for the research community. Furthermore I present a new online web resource that unifies various bioinformatics databases to enable discovery of relevant features in 3D protein structures.
ContributorsMielke, Clinton (Author) / Mandarino, Lawrence (Committee member) / LaBaer, Joshua (Committee member) / Magee, D. Mitchell (Committee member) / Dinu, Valentin (Committee member) / Willis, Wayne (Committee member) / Arizona State University (Publisher)
Created2013
Description
Recombinant protein expression is essential to biotechnology and molecular medicine, but facile methods for obtaining significant quantities of folded and functional protein in mammalian cell culture have been lacking. Here I describe a novel 37-nucleotide in vitro selected sequence that promotes unusually high transgene expression in a vaccinia driven cytoplasmic expression system. Vectors carrying this sequence in a monocistronic reporter plasmid produce >1,000-fold more protein than equivalent vectors with conventional vaccinia promoters. Initial mechanistic studies indicate that high protein expression results from dual activity that impacts both transcription and translation. I suggest that this motif represents a powerful new tool in vaccinia-based protein expression and vaccine development technology.
ContributorsFlores, Julia Anne (Author) / Chaput, John C (Thesis advisor) / Jacobs, Bertram (Committee member) / LaBaer, Joshua (Committee member) / Arizona State University (Publisher)
Created2012
Description
Since the early 1990's, researchers have been looking at intersections between education and music. After a highly popular study correlating listening to Mozart to temporary increases in spatial reasoning, many other researchers tried to find a link between different musical genres and learning outcomes. Using three musical treatments (Pop, classical, silence), this study had subjects (N=34) complete a reading-based task whereupon they were tested on their comprehension. Using a suite of sensors, data was collected to analyze the participants' emotions and affect while they read from an educational psychology textbook. The present study has two major focuses: They detail whether (1) changes in musical condition affect learning outcomes and (2) whether changes in musical condition affect emotional outcomes. The popular conception that listening to classical music makes you smarter was proven false long ago, but there may actually be some merit to using music to assist one in studying. While there were no significant changes in test scores depending on musical condition; frustration levels were significantly lower for those who listened to classical instead of pop music.
ContributorsPaley, Benjamin Henry (Author) / Atkinson, Robert (Thesis director) / Feisst, Sabine (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2015-05
Description
This thesis was an analysis of items in the Late Adolescent Home Observation for Measure of the Environment (LA HOME) after the first wave of N = 138 interviews. The purpose of this project was to learn how to utilize a statistical software such as SPSS to analyze items and interpret results. Frequency analysis, inter-rater reliability (IRR), correlation analysis, internal consistency using Cronbach's alpha, and feedback from research assistants were considered when deciding which items should be eliminated from the measure. After running these analyses, ten items were suggested for deletion including: clean, adolescent's room allows for privacy, reference materials, news, family encourages adolescent to think independently, community service, parent knows where adolescent spends time, weekly household responsibilities, school/career planning, and dentist. Future interviews generating a larger sample size as well as discussions and subsequent revisions to the manual will clarify additional items that may be eliminated from the final version of the instrument.
ContributorsMiller, Ava Kathryn (Author) / Bradley, Robert (Thesis director) / Spinrad, Tracy (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2015-05
Description
Bacteria play a vital role in the world ecosystem, more importantly human health and disease. The capability to differentiate and identify these microorganisms serves as an important research objective. In past years, separations-based approaches have served as a way to observe and identify bacteria based on their characteristics. Gradient insulator dielectrophoresis (g-iDEP) provides benefits in identifying serotypes of a single species with precise separation. Separation of Staphylococcus epidermidis in a single g-iDEP microchannel is conducted exploiting their electrophoretic and electrokinetic properties. The cells were captured and concentrated at gates with interacting forces within the microchannel to clearly distinguish between the two strains. These results provide support for g-iDEP serving as a separating method and, furthermore, future clinical applications.
ContributorsDavis, Paige Elizabeth (Author) / Hayes, Mark (Thesis director) / Borges, Chad (Committee member) / Jones, Paul (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2015-05
Description
In the United States, many new cases of type I diabetes appear among youth. Upon diagnosis, many patients experience psychosocial issues in addition to physical issues, including depression, anxiety, and poor self-esteem. Diabetes educators have found that it is important to form interpersonal connections and trust with their adolescent patients. One tool that may be particularly useful for diabetes educators to implement is art therapy, which combines creativity and problem solving in a practical manner. Art therapy may be particularly helpful for individuals with type 1 diabetes because of the great cognitive and emotional changes, which occur during adolescence. In order for caretakers and educators to implement tenants of art therapy, it is helpful to have a medium, such as an art journal, which provides a foundation on which to process the emotions and thoughts the adolescent is experiencing as they process diabetes and their feelings throughout diagnosis. Keywords: art therapy, type I diabetes
ContributorsFowle, Mikaelah Jenee (Author) / Bodman, Denise (Thesis director) / Rogers, Jennifer (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2015-05
Description
In the mid-1970s, social scientists began observing marital dyad conversations in laboratory settings with the hope of determining which observable features best discriminate couples who report being either satisfied or unsatisfied with their relationship. These studies continued until about a decade ago when, in addition to increasing laboratory costs slowing the pace of new data collection, researchers realized that distressed couples were easier to quantitatively describe than nondistressed couples. Specifically, distressed couples exhibit rigid patterns of negativity whereas couples who report being maritally satisfied show minimal rigidity in the opposite direction \u2014 positivity. This was, and is, a theoretical dilemma: how can clinicians understand and eventually modify distressed relationships when the behavior of satisfied couples are less patterned, less predictable and more diverse? A recent study by Griffin and Li (2015), using contemporary machine learning techniques, reanalyzed existing marital interaction data and found that, contrary to expectation and existing theory, nondistressed couples should be further subdivided into two groups \u2014 those who are predictably positive or neutral and those who interact using diverse and varying levels of positive and negative behaviors. The latter group is the focus of this thesis. Using these recent findings as discussion points, I review how the unexpected behaviors in this novel group can maintain and possibly perpetuate marital satisfaction.
ContributorsAbdul-Quadir, Hasana (Author) / Griffin, William A. (Thesis director) / Li, Xun (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / School of International Letters and Cultures (Contributor) / Hugh Downs School of Human Communication (Contributor)
Created2015-05