Matching Items (1,047)
Filtering by
- Creators: School of Mathematical and Statistical Sciences
- Creators: Department of Marketing
- Resource Type: Text
Description
Dressler Makes Things (DMT), as a thesis project, explores the viability of DMT as a monetized blog. DMT is a life improvement blog with a focus on cooking. Its blog niche sits between nostalgic, sensory food blogs and professional, actionable life improvement blogs. Because blogs that bridge this gap are rare, DMT aims to fill this need by making cooking easy, affordable, and attainable for anyone, but particularly females in their early twenties. This thesis explores marketing topics like brand, blog niche, unique value proposition, current viewers, and user personas, as well as information about the current blogging environment and an analysis of relevant competitors. It also develops marketing objectives for DMT, as well as positioning, conversion, referral, content promotion, and partnership strategies to reach these goals. Finally, it discusses distribution, pricing, and promotional tactics, as well as an operational plan and financial projections.
ContributorsParsons, Dressler Eileen (Author) / Gray, Nancy (Thesis director) / Bitter, Gary (Committee member) / School of Art (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Aberrant glycosylation has been shown to be linked to specific cancers, and using this idea, it was proposed that the levels of glycans in the blood could predict stage I adenocarcinoma. To track this glycosylation, glycan were broken down into glycan nodes via methylation analysis. This analysis utilized information from N-, O-, and lipid linked glycans detected from gas chromatography-mass spectrometry. The resulting glycan node-ratios represent the initial quantitative data that were used in this experiment.
For this experiment, two Sets of 50 µl blood plasma samples were provided by NYU Medical School. These samples were then analyzed by Dr. Borges’s lab so that they contained normalized biomarker levels from patients with stage 1 adenocarcinoma and control patients with matched age, smoking status, and gender were examined. An ROC curve was constructed under individual and paired conditions and AUC calculated in Wolfram Mathematica 10.2. Methods such as increasing size of training set, using hard vs. soft margins, and processing biomarkers together and individually were used in order to increase the AUC. Using a soft margin for this particular data set was proved to be most useful compared to the initial set hard margin, raising the AUC from 0.6013 to 0.6585. In regards to which biomarkers yielded the better value, 6-Glc/6-Man and 3,6-Gal glycan node ratios had the best with 0.7687 AUC and a sensitivity of .7684 and specificity of .6051. While this is not enough accuracy to become a primary diagnostic tool for diagnosing stage I adenocarcinoma, the methods examined in the paper should be evaluated further. . By comparison, the current clinical standard blood test for prostate cancer that has an AUC of only 0.67.
For this experiment, two Sets of 50 µl blood plasma samples were provided by NYU Medical School. These samples were then analyzed by Dr. Borges’s lab so that they contained normalized biomarker levels from patients with stage 1 adenocarcinoma and control patients with matched age, smoking status, and gender were examined. An ROC curve was constructed under individual and paired conditions and AUC calculated in Wolfram Mathematica 10.2. Methods such as increasing size of training set, using hard vs. soft margins, and processing biomarkers together and individually were used in order to increase the AUC. Using a soft margin for this particular data set was proved to be most useful compared to the initial set hard margin, raising the AUC from 0.6013 to 0.6585. In regards to which biomarkers yielded the better value, 6-Glc/6-Man and 3,6-Gal glycan node ratios had the best with 0.7687 AUC and a sensitivity of .7684 and specificity of .6051. While this is not enough accuracy to become a primary diagnostic tool for diagnosing stage I adenocarcinoma, the methods examined in the paper should be evaluated further. . By comparison, the current clinical standard blood test for prostate cancer that has an AUC of only 0.67.
ContributorsDe Jesus, Celine Spicer (Author) / Taylor, Thomas (Thesis director) / Borges, Chad (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The detection and characterization of transients in signals is important in many wide-ranging applications from computer vision to audio processing. Edge detection on images is typically realized using small, local, discrete convolution kernels, but this is not possible when samples are measured directly in the frequency domain. The concentration factor edge detection method was therefore developed to realize an edge detector directly from spectral data. This thesis explores the possibilities of detecting edges from the phase of the spectral data, that is, without the magnitude of the sampled spectral data. Prior work has demonstrated that the spectral phase contains particularly important information about underlying features in a signal. Furthermore, the concentration factor method yields some insight into the detection of edges in spectral phase data. An iterative design approach was taken to realize an edge detector using only the spectral phase data, also allowing for the design of an edge detector when phase data are intermittent or corrupted. Problem formulations showing the power of the design approach are given throughout. A post-processing scheme relying on the difference of multiple edge approximations yields a strong edge detector which is shown to be resilient under noisy, intermittent phase data. Lastly, a thresholding technique is applied to give an explicit enhanced edge detector ready to be used. Examples throughout are demonstrate both on signals and images.
ContributorsReynolds, Alexander Bryce (Author) / Gelb, Anne (Thesis director) / Cochran, Douglas (Committee member) / Viswanathan, Adityavikram (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Chebfun is a collection of algorithms and an open-source software system in object-oriented Matlab that extends familiar powerful methods of numerical computation involving numbers to continuous or piecewise-continuous functions. The success of this strategy is based on the mathematical fact that smooth functions can be represented very efficiently by polynomial interpolation at Chebyshev points or by trigonometric interpolation at equispaced points for periodic functions. More recently, the system has been extended to handle bivariate functions and vector fields. These two new classes of objects are called Chebfun2 and Chebfun2v, respectively. We will show that Chebfun2 and Chebfun2v, and can be used to accurately and efficiently perform various computations on parametric surfaces in two or three dimensions, including path trajectories and mean and Gaussian curvatures. More advanced surface computations such as mean curvature flows are also explored. This is also the first work to use the newly implemented trigonometric representation, namely Trigfun, for computations on surfaces.
ContributorsPage-Bottorff, Courtney Michelle (Author) / Platte, Rodrigo (Thesis director) / Kostelich, Eric (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis is broken down into two sections. The first being market research and the second being the creation of the financial guide. The first section includes our primary and secondary data. In this section, we discover whether or not there is an actual need for a financial guide among college students, as well as the relationships among different variables that we included in our survey. The second section comes in the format of a financial guide that we have created. It includes topics that that our survey respondents feel most pertinent to them. It also uses the data we collected to emphasize certain topics over others in order to educate our readers and capture their attention as much as possible.
ContributorsShi, Cindy (Co-author) / Megan, Vogelsang (Co-author) / Hoffman, David (Thesis director) / Park, Sungho (Committee member) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
It is important to examine training programs for in-store associates in the specialty retail industry. The retail industry is strong right now, and growth is expected to be at 7% over the next 10 years. In the retail industry, the Internet poses a credible threat to brick and mortar stores, as many customers now prefer to shop online. To compensate for this, storefronts need to provide an increasingly exceptional in-store experience to drive sales and maintain customer relationships. Creating excellent training programs for in-store associates is the best way in which to improve the relationship between the customer and the associate and create an excellent store experience. Strong associate training programs have numerous benefits to the overarching organization. An employee that feels confident and competent in their job is more engaged at work. Engaged employees are less likely to quit than average, which means a strong training program can save a company turnover costs and loss of institutional knowledge. Additionally, an engaged associate is more likely to exert extra discretionary effort, which increases operational efficiency. Ultimately, an engaged employee will strengthen the service profit chain and create a better overall experience for the customer. When creating a training program it is important to take into account the learning preferences of the company's associates. Millennial learners prefer working in groups, integrated technology, and lessons that are applicable to real life. Generation X learners are self-sufficient and view time as a luxury. They expect material to be straightforward and concise. Additionally, when creating a training program it is important to benchmark programs within and outside of the operating industry. REI has a comprehensive training program that focuses on connecting employees to the mission of the company as well as in-depth product knowledge. Macy's recently overhauled its training program to include more face time with managers and semi-annual refresher trainings. Ritz-Carlton, a step outside of the retail industry, provides legendary training where employees receive over 250 hours of training in the first year alone. Ritz-Carlton employees are highly engaged and autonomous in their work, which leads to an excellent hotel experience. Using my internship as a field study, I share some important results from work with a Fortune 400 specialty retailer headquartered in the Phoenix Valley. Here I examine the associate and customer relationship with the aim of improving the in-store experience. Through benchmarking, associate interviews, and data analysis I am able to recommend a long-term vision for training at the organization where up-to-date product information is accessible in the aisle and overall knowledge well rounded through buddy shift programs and cross-training. My overall recommendation for the specialty retail industry is to take a holistic approach to training. I advocate looking at training programs from multiple perspectives including learning preferences, employee motivations, and corporate culture. Additionally, holistic training means that a company educates and trains associates in all areas of the business through cross-training and buddy shifts. Holistic training will create an engaged work force and improve the customer experience.
ContributorsHouts, Madeline Kirby (Author) / Mokwa, Michael (Thesis director) / Eaton, John (Committee member) / Department of Management (Contributor) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
As the IoT (Internet of Things) market continues to grow, Company X needs to find a way to penetrate the market and establish larger market share. The problem with Company X's current strategy and cost structure lies in the fact that the fastest growing portion of the IoT market is microcontrollers (MCUs). As Company X currently holds its focus in manufacturing microprocessors (MPUs), the current manufacturing strategy is not optimal for entering competitively into the MCU space. Within the MCU space, the companies that are competing the best do not utilize such high level manufacturing processes because these low cost products do not demand them. Given that the MCU market is largely untested by Company X and its products would need to be manufactured at increasingly lower costs, it runs the risk of over producing and holding obsolete inventory that is either scrapped or sold at or below cost. In order to eliminate that risk, we will explore alternative manufacturing strategies for Company X's MCU products specifically, which will allow for a more optimal cost structure and ultimately a more profitable Internet of Things Group (IoTG). The IoT MCU ecosystem does not require the high powered technology Company X is currently manufacturing and therefore, Company X loses large margins due to its unnecessary leading technology. Since cash is king, pursuing a fully external model for MCU design and manufacturing processes will generate the highest NPV for Company X. It also will increase Company X's market share, which is extremely important given that every tech company in the world is trying to get its hands into the IoT market. It is possible that in ten to thirty years down the road, Company X can manufacture enough units to keep its products in-house, but this is not feasible in the foreseeable future. For now, Company X should focus on the cost market of MCUs by driving its prices down while maintaining low costs due to the variables of COGS and R&D given in our fully external strategy.
ContributorsKadi, Bengimen (Co-author) / Peterson, Tyler (Co-author) / Langmack, Haley (Co-author) / Quintana, Vince (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Honey bees (Apis mellifera) are responsible for pollinating nearly 80\% of all pollinated plants, meaning humans depend on honey bees to pollinate many staple crops. The success or failure of a colony is vital to global food production. There are various complex factors that can contribute to a colony's failure, including pesticides. Neonicotoids are a popular pesticide that have been used in recent times. In this study we concern ourselves with pesticides and its impact on honey bee colonies. Previous investigations that we draw significant inspiration from include Khoury et Al's \emph{A Quantitative Model of Honey Bee Colony Population Dynamics}, Henry et Al's \emph{A Common Pesticide Decreases Foraging Success and Survival in Honey Bees}, and Brown's \emph{ Mathematical Models of Honey Bee Populations: Rapid Population Decline}. In this project we extend a mathematical model to investigate the impact of pesticides on a honey bee colony, with birth rates and death rates being dependent on pesticides, and we see how these death rates influence the growth of a colony. Our studies have found an equilibrium point that depends on pesticides. Trace amounts of pesticide are detrimental as they not only affect death rates, but birth rates as well.
ContributorsSalinas, Armando (Author) / Vaz, Paul (Thesis director) / Jones, Donald (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This study examines the differences in presence and perception of the Samsung and Apple brands in Spain compared to the United States. Primary research was collected on-site in Spain and comparatively analyzed to experiences in the United States from the perspective of an American citizen. Qualitative data in the form of observations and interviews was collected as well as extensive secondary research. The study will conclude international implications of these two brands in Spain.
ContributorsNeerhof, Samantha Noel (Author) / Gray, Nancy (Thesis director) / Giard, Jacques (Committee member) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A Guide to Financial Mathematics is a comprehensive and easy-to-use study guide for students studying for the one of the first actuarial exams, Exam FM. While there are many resources available to students to study for these exams, this study is free to the students and offers an approach to the material similar to that of which is presented in class at ASU. The guide is available to students and professors in the new Actuarial Science degree program offered by ASU. There are twelve chapters, including financial calculator tips, detailed notes, examples, and practice exercises. Included at the end of the guide is a list of referenced material.
ContributorsDougher, Caroline Marie (Author) / Milovanovic, Jelena (Thesis director) / Boggess, May (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05