The insurance industry consists of financial advisors planning for individual’s financial future through defensive investments that will payout in case of something happening to a person’s greatest asset—themselves. Each financial advisor is mandated to pass a professional exam to receive their license in order to take in clients in each state. There is a process in which clients are serviced and sold on different products of insurance. Advisors need to consider client needs and service them with products are in their best interest and within financial reason. <br/> To sell a product you must have clients, and the way that financial advisor receive clients are generally through two ways: company provided or their own connections. At the end of the day, the goal is to get in front of more people and expand you circle. In that sense, there are two common way people address this expansion of circles and that is build relationships versus networking. The goal of this paper is to dive deep in the insurance industry and analyze the sales process when comparing the difference in selling through building relationships versus selling through networking.<br/> The research plan I have in mind start from researching background and history, to current practices environment, to method process solutions. In the initial stages of my research, I will focus on background and history of the financial services industry in terms of sales and insurance. This will address insurance sales processes in the financial services industry and its features as well as benefits. After explaining the step by step process and potential results of the sales process in the insurance industry, I will start researching current environments of the industry. This will explain the history, key theoretical elements, and significant events of the industry. <br/> The history of the background will set stage for me to address situational challenges in the business based on my own experience to which I will do research to find plausible sales process solutions when comparing relationship sales to networking sales. This research will then be synthesized with my own experimental solutions as I work in the industry, which will help me complete chapter 4 and 5 of my theses – Methods and Execution of Results.

This paper is an exploration of numerical optimization as it applies to the consumer choice problem. Suggested algorithms are intended to compute solutions to the Marshallian problem, and some can extend to the dual given the suggested modifications. Each method seeks to either weaken the sufficient conditions for optimization, converge to a solution more efficiently, or describe additional properties of the decision space. The purpose of this paper is to explore constrained quasiconvex programming in a less complicated environment by design of Marshallian constraints.

With this research and creative project, I aim to accomplish the following: first, I narrate my own experience as a victim of cyberbullying and the jumbled, inadequate response from my university; second, I assemble a literature review of best practices for university responses to student reports of cyberbullying and cyber assault; third, I offer a call to action for universities to adopt the best practices to deter cyber assaults and learn how to listen and respond to victims

Sanctuary jurisdictions are jurisdictions that do not enforce one or more aspects of federal immigration policy in regards to unauthorized immigrants. Some states maintain state-wide sanctuary policies while others are adamantly against them. Estimates of taxes that unauthorized immigrants pay and estimates of the amount of state funding that unauthorized immigrants can access (education, financial aid, corrections, and welfare) reveal that regardless of sanctuary status, unauthorized immigrants may “pay in” more than they “take out” from the system. The status of “sanctuary jurisdiction” does not appear to have much if any effect on the net state budget. However, unauthorized immigrants are able to access more welfare programs in sanctuary states.

With the rise of fast fashion and its now apparent effects on climate change, there is an evident need for change in terms of how we as individuals use our clothing and footwear. Our team has created Ray Fashion Inc., a sustainable footwear company that focuses on implementing the circular economy to reduce the amount of waste generated in shoe creation. We have designed a sandal that accommodates the rapid consumption element of fast fashion with a business model that promotes sustainability through a buy-back method to upcycle and retain our materials.

The COVID-19 pandemic has resulted in preventative measures and has led to extensive changes in lifestyle for the vast majority of the American population. As the pandemic progresses, a growing amount of evidence shows that minority groups, such as the Deaf community, are often disproportionately and uniquely affected. Deaf people are directly affected in their ability to personally socialize and continue with daily routines. More specifically, this can constitute their ability to meet new people, connect with friends/family, and to perform in their work or learning environment. It also may result in further mental health changes and an increased reliance on technology. The impact of COVID-19 on the Deaf community in clinical settings must also be considered. This includes changes in policies for in-person interpreters and a rise in telehealth. Often, these effects can be representative of the pre-existing low health literacy, frequency of miscommunication, poor treatment, and the inconvenience felt by Deaf people when trying to access healthcare. Ultimately, these effects on the Deaf community must be taken into account when attempting to create a full picture of the societal shift caused by COVID-19.

500 Days of Summer, released in 2009 and written by Scott Neustadter and Michael H. Weber, is an American film told through the perspective of Tom Hansen, the male lead. It is a story that begins with a third-person narrator, explaining that “This is a story of boy meets girl.” The narration then finishes with a warning that “you should know up front, this is not a love story” (Neustadter & Weber, 2009). As the movie continues, however, it becomes increasingly challenging to believe this warning. Tom sees Summer Finn, falls in love, and their relationship ends with him broken-hearted. It is only natural for the audience to view it as a story of Tom’s failed love, and without a deeper analysis, to perceive Summer as the antagonist. <br/> This tendency to view the movie as a love story motivated me to question why the discrepancy between the beginning narration and the common audience perception occurs. My thesis addresses this discrepancy by focusing on the idea that the natural gravitation towards the belief that 500 Days of Summer is a love story exists due to the unreliable narration given by Tom Hansen throughout the movie. I wrote three songs, an interlude, a duet, and a solo, based on the themes and lead characters of the movie to help validate the warning provided in the beginning and provide a deeper insight into Summer’s version of the story.

This thesis is a supplement textbook designed with ASU’s MAT 370, or more generally, a course in introductory real analysis (IRA). With research in the realms of mathematics textbook creation and IRA pedagogy, this supplement aims to provide students or interested readers an additional presentation of the materials. Topics discussed include the real number system, some topology of the real line, sequences of real numbers, continuity, differentiation, integration, and the Fundamental Theorem of Calculus. Special emphasis was placed on worked examples of proven results and exercises with hints at the end of every chapter. In this respect, this supplement aims to be both versatile and self-contained for the different mathematics skill levels of readers.

This thesis project focuses on algorithms that generate good sampling points for function approximation. In one dimension, polynomial interpolation using equispaced points is unstable, with high Oscillations near the endpoints of the interpolated interval. On the other hand, Chebyshev nodes provide both stable and highly accurate points for polynomial interpolation. In higher dimensions, optimal sampling points are unknown. This project addresses this problem by finding algorithms that are robust in various domains for polynomial interpolation and least-squares. To measure the quality of the nodes produced by said algorithms, the Lebesgue constant will be used. In the algorithms, a number of numerical techniques will be used, such as the Gram-Schmidt process and the pivoted-QR process. In addition, concepts such as node density and greedy algorithms will be explored.