Matching Items (64)
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Description
Molybdenum (Mo) is a key trace nutrient for biological assimilation of nitrogen, either as nitrogen gas (N2) or nitrate (NO3-). Although Mo is the most abundant metal in seawater (105 nM), its concentration is low (<5 nM) in most freshwaters today, and it was scarce in the ocean before 600

Molybdenum (Mo) is a key trace nutrient for biological assimilation of nitrogen, either as nitrogen gas (N2) or nitrate (NO3-). Although Mo is the most abundant metal in seawater (105 nM), its concentration is low (<5 nM) in most freshwaters today, and it was scarce in the ocean before 600 million years ago. The use of Mo for nitrogen assimilation can be understood in terms of the changing Mo availability through time; for instance, the higher Mo content of eukaryotic vs. prokaryotic nitrate reductase may have stalled proliferation of eukaryotes in low-Mo Proterozoic oceans. Field and laboratory experiments were performed to study Mo requirements for NO3- assimilation and N2 fixation, respectively. Molybdenum-nitrate addition experiments at Castle Lake, California revealed interannual and depth variability in plankton community response, perhaps resulting from differences in species composition and/or ammonium availability. Furthermore, lake sediments were elevated in Mo compared to soils and bedrock in the watershed. Box modeling suggested that the largest source of Mo to the lake was particulate matter from the watershed. Month-long laboratory experiments with heterocystous cyanobacteria (HC) showed that <1 nM Mo led to low N2 fixation rates, while 10 nM Mo was sufficient for optimal rates. At 1500 nM Mo, freshwater HC hyperaccumulated Mo intercellularly, whereas coastal HC did not. These differences in storage capacity were likely due to the presence in freshwater HC of the small molybdate-binding protein, Mop, and its absence in coastal and marine cyanobacterial species. Expression of the mop gene was regulated by Mo availability in the freshwater HC species Nostoc sp. PCC 7120. Under low Mo (<1 nM) conditions, mop gene expression was up-regulated compared to higher Mo (150 and 3000 nM) treatments, but the subunit composition of the Mop protein changed, suggesting that Mop does not bind Mo in the same manner at <1 nM Mo that it can at higher Mo concentrations. These findings support a role for Mop as a Mo storage protein in HC and suggest that freshwater HC control Mo cellular homeostasis at the post-translational level. Mop's widespread distribution in prokaryotes lends support to the theory that it may be an ancient protein inherited from low-Mo Precambrian oceans.
ContributorsGlass, Jennifer (Author) / Anbar, Ariel D (Thesis advisor) / Shock, Everett L (Committee member) / Jones, Anne K (Committee member) / Hartnett, Hilairy E (Committee member) / Elser, James J (Committee member) / Fromme, Petra (Committee member) / Arizona State University (Publisher)
Created2011
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Description
This paper goes through a two-pronged approach in the attempt to understand E-Sports, entertainment gaming, and the creation of the E-Sports bar/Barcade. The first portion aims to explain and quantify the growth of electronic sports (or E-sports). This new craze has been growing immensely in the past 5 years, by

This paper goes through a two-pronged approach in the attempt to understand E-Sports, entertainment gaming, and the creation of the E-Sports bar/Barcade. The first portion aims to explain and quantify the growth of electronic sports (or E-sports). This new craze has been growing immensely in the past 5 years, by viewership and by monetary endorsements. With these changes and growth patterns, we then move on to explain one of the many niche markets that has been created from the growth of E-sports and entertainment gaming. Through our experience in the field, we have evaluated 8 E-sports bars and Barcades in order to confirm their viability in the marketplace. Through our worldwide research we have found that E-sports will continue to grow and that Barcades will not only be viable, but will be a competitive market in the next 10-20 years.
ContributorsNist, Nicholas (Co-author) / Hester, James (Co-author) / Brooks, Dan (Thesis director) / Forss, Brennan (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor) / Department of Psychology (Contributor)
Created2015-05
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Description
For over a century, researchers have been investigating collective cognition, in which a group of individuals together process information and act as a single cognitive unit. However, I still know little about circumstances under which groups achieve better (or worse) decisions than individuals. My dissertation research directly addressed this longstanding

For over a century, researchers have been investigating collective cognition, in which a group of individuals together process information and act as a single cognitive unit. However, I still know little about circumstances under which groups achieve better (or worse) decisions than individuals. My dissertation research directly addressed this longstanding question, using the house-hunting ant Temnothorax rugatulus as a model system. Here I applied concepts and methods developed in psychology not only to individuals but also to colonies in order to investigate differences of their cognitive abilities. This approach is inspired by the superorganism concept, which sees a tightly integrated insect society as the analog of a single organism. I combined experimental manipulations and models to elucidate the emergent processes of collective cognition. My studies show that groups can achieve superior cognition by sharing the burden of option assessment among members and by integrating information from members using positive feedback. However, the same positive feedback can lock the group into a suboptimal choice in certain circumstances. Although ants are obligately social, my results show that they can be isolated and individually tested on cognitive tasks. In the future, this novel approach will help the field of animal behavior move towards better understanding of collective cognition.
ContributorsSasaki, Takao (Author) / Pratt, Stephen C (Thesis advisor) / Amazeen, Polemnia (Committee member) / Liebig, Jürgen (Committee member) / Janssen, Marco (Committee member) / Fewell, Jennifer (Committee member) / Hölldobler, Bert (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Microbial mat communities that inhabit hot springs in Yellowstone National Park have been studied for their biodiversity, energetics and evolutionary history, yet little is know about how these communities cope with nutrient limitation. In the present study the changes in assimilatory gene expression levels for nitrogen (nrgA), phosphorus (phoA), and

Microbial mat communities that inhabit hot springs in Yellowstone National Park have been studied for their biodiversity, energetics and evolutionary history, yet little is know about how these communities cope with nutrient limitation. In the present study the changes in assimilatory gene expression levels for nitrogen (nrgA), phosphorus (phoA), and iron (yusV) were measured under various nutrient enrichment experiments. While results for nrgA and phoA were inconclusive, results for yusV showed an increase in expression with the addition of N and Fe. This is the first data that shows the impact of nutrients on siderophore uptake regulation in hot spring microbes.
ContributorsThorne, Michele (Author) / Elser, James J (Thesis advisor) / Touchman, Jeffrey (Committee member) / Stout, Valerie (Committee member) / Arizona State University (Publisher)
Created2012
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Description
Mathematical modeling of infectious diseases can help public health officials to make decisions related to the mitigation of epidemic outbreaks. However, over or under estimations of the morbidity of any infectious disease can be problematic. Therefore, public health officials can always make use of better models to study the potential

Mathematical modeling of infectious diseases can help public health officials to make decisions related to the mitigation of epidemic outbreaks. However, over or under estimations of the morbidity of any infectious disease can be problematic. Therefore, public health officials can always make use of better models to study the potential implication of their decisions and strategies prior to their implementation. Previous work focuses on the mechanisms underlying the different epidemic waves observed in Mexico during the novel swine origin influenza H1N1 pandemic of 2009 and showed extensions of classical models in epidemiology by adding temporal variations in different parameters that are likely to change during the time course of an epidemic, such as, the influence of media, social distancing, school closures, and how vaccination policies may affect different aspects of the dynamics of an epidemic. This current work further examines the influence of different factors considering the randomness of events by adding stochastic processes to meta-population models. I present three different approaches to compare different stochastic methods by considering discrete and continuous time. For the continuous time stochastic modeling approach I consider the continuous-time Markov chain process using forward Kolmogorov equations, for the discrete time stochastic modeling I consider stochastic differential equations using Wiener's increment and Poisson point increments, and also I consider the discrete-time Markov chain process. These first two stochastic modeling approaches will be presented in a one city and two city epidemic models using, as a base, our deterministic model. The last one will be discussed briefly on a one city SIS and SIR-type model.
ContributorsCruz-Aponte, Maytee (Author) / Wirkus, Stephen A. (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Camacho, Erika T. (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Created2014
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Description
A functioning food web is the basis of a functioning community and ecosystem. Thus, it is important to understand the dynamics that control species behaviors and interactions. Alterations to the fundamental dynamics can prove detrimental to the future success of our environment. Research and analysis focus on the global dynamics

A functioning food web is the basis of a functioning community and ecosystem. Thus, it is important to understand the dynamics that control species behaviors and interactions. Alterations to the fundamental dynamics can prove detrimental to the future success of our environment. Research and analysis focus on the global dynamics involved in intraguild predation (IGP), a three species subsystem involving both competition and predation. A mathematical model is derived using differential equations based on pre-existing models to accurately predict species behavior. Analyses provide sufficient conditions for species persistence and extinction that can be used to explain global dynamics. Dynamics are compared for two separate models, one involving a specialist predator and the second involving a generalist predator, where systems involving a specialist predator are prone to unstable dynamics. Analyses have implications in biological conservation tactics including various methods of prevention and preservation. Simulations are used to compare dynamics between models involving continuous time and those involving discrete time. Furthermore, we derive a semi-discrete model that utilizes both continuous and discrete time series dynamics. Simulations imply that Holling's Type III functional response controls the potential for three species persistence. Complicated dynamics govern the IGP subsystem involving the white-footed mouse, gypsy moth, and oak, and they ultimately cause the synchronized defoliation of forests across the Northeastern United States. Acorn mast seasons occur every 4-5 years, and they occur simultaneously across a vast geographic region due to universal cues. Research confirms that synchronization can be transferred across trophic levels to explain how this IGP system ultimately leads to gypsy moth outbreaks. Geographically referenced data is used to track and slow the spread of gypsy moths further into the United States. Geographic Information Systems (GIS) are used to create visual, readily accessible, displays of trap records, defoliation frequency, and susceptible forest stands. Mathematical models can be used to explain both changes in population densities and geographic movement. Analyses utilizing GIS softwares offer a different, but promising, way of approaching the vast topic of conservation biology. Simulations and maps are produced that can predict the effects of conservation efforts.
ContributorsWedekin, Lauren (Author) / Kang, Yun (Thesis advisor) / Green, Douglas (Committee member) / Miller, William (Committee member) / Arizona State University (Publisher)
Created2012
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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

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
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Description
Customized online education is a means of educating a large amount of users in a way that will change their behavior at a low incremental cost to the one providing the information. This thesis will examine several aspects of online education, but primarily focus on the presentation of the materials.

Customized online education is a means of educating a large amount of users in a way that will change their behavior at a low incremental cost to the one providing the information. This thesis will examine several aspects of online education, but primarily focus on the presentation of the materials. It will examine how this is done through a consulting project I worked on in conjunction with the New Venture Group for Parenting Arizona. Parenting Arizona is a non-profit organization based in Arizona that offers classes for parents who are seeking better ways to manage their family responsibilities. The purpose of the consulting project was to take the instructional materials used in in-person group classes and modify it to be effectively used for instruction in an online environment. Parenting Arizona foresaw a number of benefits from this modification and migration of instructional materials for the web; first among these was the ability of people in remote areas or in situations that did not allow them to attend an on-ground class to gain access to instructional material. In addition, the broader availability of the material that would come from its presence on the web would expand the influence of good parenting instructions to a greater audience both inside and outside the State of Arizona, aiding even more families.
ContributorsAnderson, Kyle (Author) / Brooks, Dan (Thesis director) / Forss, Brennan (Committee member) / Rosen, Julie (Committee member) / Barrett, The Honors College (Contributor)
Created2012-05
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Description
The client detailed in this report is a premier continuing healthcare education organization providing a variety of homeopathic therapy classes for its students. The purpose of this paper is to showcase a business plan that will help dictate the basic structure of the client's business once they are independent of

The client detailed in this report is a premier continuing healthcare education organization providing a variety of homeopathic therapy classes for its students. The purpose of this paper is to showcase a business plan that will help dictate the basic structure of the client's business once they are independent of their current managing company. Extensive analysis, primarily based upon online market research and personal correspondence with the client, was conducted for this report. Detailed within this paper are several areas where the client can significantly lower costs and increase future revenues by modifying practices employed by the managing company. From the analysis provided, the client has the opportunity to create and grow a well-organized, profitable business with a sustainable future.
ContributorsMionis, Erika (Co-author) / Lee, Betty (Co-author) / Coult, Natasha (Co-author) / Brooks, Dan (Thesis director) / Chikly, Bruno (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
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Description
An integral part of the financial system, the evolutionary history of commercial banking remains largely uncharted and is often grouped into banking development as a whole. Previous research on banking has primarily relied on economic analysis or has placed banking in a larger social context. This work aims to bridge

An integral part of the financial system, the evolutionary history of commercial banking remains largely uncharted and is often grouped into banking development as a whole. Previous research on banking has primarily relied on economic analysis or has placed banking in a larger social context. This work aims to bridge the two by classifying commercial banking growth into four cycles of expansion, application, and decline. Drawing from historical accounts and growth cycle theory, this framework for classification is developed to better synthesize its progress and the fundamental innovations that changed the banking system. Beginning in 1150 with the foundation for deposit banking, the next three cycles of 1500, 1750, and 1933 mark periods of great innovation and a push toward the regulatory environment, technology, and globalization that define modern commercial banking. Paralleling the economic, financial, and political development of the Western World, its evolution is guided by three themes: the increased accumulation and flow of capital, regulation, and market expansion.
ContributorsSinger, Andrea Cayli (Author) / Licon, Wendell (Thesis director) / Hoffmeister, Ron (Committee member) / Brooks, Dan (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / W. P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2013-05