Matching Items (204)
Description
In Western medicine, the hard sciences have generally been understood as the sole guiding force in patient care and treatment. However, both history and the present day suggest another strong influence on Western medicine: folklore. The term folklore can easily be dismissed as a term representing beliefs and stories of the past, but its relevance transcends time and continues to impact people daily. It “involves values, traditions, ways of thinking and behaving. It’s about art. It’s about people and the way people learn. It helps us learn who we are and how to make meaning in the world around us” (Sims & Stephens, 2011, pp. 1-2). With its wide range of influence, folklore exists as the umbrella term encompassing several categories. Folk beliefs are one of these categories and can develop from “observation, memory, testimony or inference” (Hutton, 1942, p. 83). Given that each of these forms are subject to some sort of error, folk beliefs become “a jumble of the true and the erroneous” (p. 84). Similarly, contemporary legends are narratives that often combine the physical and supernatural world to explain nuances or uncertainty present in the relevant experiences of a people. Folk beliefs can result in the formation of contemporary legends and they can also stem from contemporary legends. These two categories are often associated with subjects that promote fear and uncertainty, and thus play an essential role in navigating folklore’s application to biomedicine. This paper explores the historical and modern effects that folklore has had on two separate maladies: Hansen’s Disease (leprosy) and Major Depressive Disorder (depression). While these conditions do not resemble each other in physical presentations, Hansen’s Disease and Major Depressive Disorder patients both have faced and continue to face discrimination. Andrea Wiley and John Allen’s three-part definition of a malady: society’s perception (sickness), the individual’s experience (illness), and medical professionals’ diagnosis and treatment (disease); was utilized as a tool for analyzing the application of folklore to modern medicine. The way that a society views a particular malady often dictates the sick role expected of a diagnosed individual. Additionally, the public’s view can directly affect medical professionals’ understanding of a malady. This then can drastically shape a patient’s diagnosis, treatment, and prognosis. This anthropological analysis acts as an interdisciplinary bridge between medicine and the humanities.
ContributorsPeake, Ashley E (Co-author) / Peake, Ashley (Co-author) / Ellis, Lawrence (Thesis director) / Hoyt, Heather (Committee member) / Hruschka, Daniel (Committee member) / School of Molecular Sciences (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The physics of waves control most of the world, in multiple forms, such as electromagnetic waves. Mathematicians and physicists have developed equations which describe the patterns in which waves evolve over time, while moving through space. Due to their partial differential form, solutions to these equations must be approximated. This study introduces a new numerical scheme to perform the approximation which is highly stable and computationally efficient. This numerical scheme is formulated with respect to Maxwell’s equations, employing spatial and temporal staggering to implement a fourth-order phase accuracy. It is then compared to the traditional Yee scheme and the Runge-Kutta 3 scheme in one-dimensional applications, revealing a similar accuracy to the Runge-Kutta 3 scheme while requiring less computations per time step. Simulations are then performed in the two-dimensional case. First, no boundary conditions are implemented, causing reflection at the edge of the spatial domain. Next, the simulation is conducted while employing absorbing boundary conditions, simulating wave propagation over an infinite spatial domain. These results are compared to the results of a large domain simulation, in which the wave propagation does not reach the boundaries. Comparing the simulations, it is concluded that the numerical scheme is stable and highly accurate when employing absorbing boundary conditions. Finally, the scheme is tested in two dimensions with wave propagation through nonlinear media, as opposed to the prior simulations which were performed as if in a vacuum. After performing spectral analysis on the resulting waves after a long-time domain simulation, the resulting angular frequencies match those expected from theory. Therefore, the scheme is concluded to be powerful in one-dimensional, two-dimensional, and nonlinear simulations, all while being computationally efficient.
ContributorsKirvan, Alex Ander (Author) / Moustaoui, Mohamed (Thesis director) / Kostelich, Eric (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Diabesity is a global epidemic affecting millions worldwide. Diabesity is the term given to the link between obesity and Type II diabetes. It is estimated that ~90% of patients diagnosed with Type II diabetes are overweight or have struggled with excess body fat in the past. Type II diabetes is characterized by insulin resistance which is an impaired response of the body to insulin that leads to high blood glucose levels. Adipose tissue, previously thought of as an inert tissue, is now recognized as a major endocrine organ with an important role in the body's immune response and the development of chronic inflammation. It is speculated that adipose tissue inflammation is a major contributor to insulin resistance particular to Type II diabetes. This literature review explores the popular therapeutic targets and marketed drugs for the treatment of Type II diabetes and their role in decreasing adipose tissue inflammation. rAGE is currently in pre-clinical studies as a possible target to combat adipose tissue inflammation due to its relation to insulin resistance. Metformin and Pioglitazone are two drugs already being marketed that use unique chemical pathways to increase the production of insulin and/or decrease blood glucose levels. Sulfonylureas is one of the first FDA approved drugs used in the treatment of Type II diabetes, however, it has been discredited due to its life-threatening side effects. Bariatric surgery is a form of invasive surgery to rid the body of excess fat and has shown to normalize blood glucose levels. These treatments are all secondary to lifestyle changes, such as diet and exercise which can help halt the progression of Type II diabetes patients.
ContributorsRobles, Alondra Maria (Author) / Woodbury, Neal (Thesis director) / Redding, Kevin (Committee member) / Allen, James (Committee member) / Hendrickson, Kirstin (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Menstruation - a stigmatized topic and a social taboo- has led to a lack of menstrual hygiene awareness and improper practices impacting women’s health adversely over generations in India. Akshara aims to increase menstrual hygiene education and reduce stigma in India. A creative children’s illustrated book, and interactive workshop curriculum about menstruation were designed and published in Hindi and English. Menstrual hygiene workshops, utilizing the designed tools, were conducted in Delhi and Ghaziabad, India to over 230 students through NGO partnerships in December 2018. The response to the menstrual hygiene and stigma workshops was overwhelmingly positive, and a significant increase in the knowledge and awareness survey scores was observed after the curriculum teachings and classroom discussions. This evaluation highlights and provides a potential solution path to eradicate the root cause of the menstruation stigma in underprivileged women through education and open conversations on the topic starting at a pivotal young age. The main aim of the workshop was to help eradicate the stigma associated with menstruation and menstrual health in India through education.
ContributorsBhalla, Jahnavi (Co-author) / Dani, Advika (Co-author) / Schuster, Roseanne (Thesis director) / Hruschka, Daniel (Thesis director) / School of Molecular Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
More than 40% of all U.S. opioid overdose deaths in 2016 involved a prescription opioid, with more than 46 people dying every day from overdoses involving prescription opioids, (CDC, 2017). Over the years, lawmakers have implemented policies and laws to address the opioid epidemic, and many of these vary from state to state. This study will lay out the basic guidelines of common pieces of legislation. It also examines relationships between 6 state-specific prescribing or preventative laws and associated changes in opioid-related deaths using a longitudinal cross-state study design (2007-2015). Specifically, it uses a linear regression to examine changes in state-specific rates of opioid-related deaths after implementation of specific policies, and whether states implementing these policies saw smaller increases than states without these policies. Initial key findings of this study show that three policies have a statistically significant association with opioid related overdose deaths are—Good Samaritan Laws, Standing Order Laws, and Naloxone Liability Laws. Paradoxically, all three policies correlated with an increase in opioid overdose deaths between 2007 and 2016. However, after correcting for the potential spurious relationship between state-specific timing of policy implementation and death rates, two policies have a statistically significant association (alpha <0.05) with opioid overdose death rates. First, the Naloxone Liability Laws were significantly associated with changes in opioid-related deaths and was correlated with a 0.33 log increase in opioid overdose death rates, or a 29% increase. This equates to about 1.39 more deaths per year per 100,000 people. Second, the legislation that allows for 3rd Party Naloxone prescriptions correlated with a 0.33 log decrease in opioid overdose death rates, or a 29% decrease. This equates to 1.39 fewer deaths per year per 100,000 people.
ContributorsDavis, Joshua Alan (Author) / Hruschka, Daniel (Thesis director) / Gaughan, Monica (Committee member) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The Heliobacterial Reaction Center (HbRC) is the simplest Type I Reaction Center (RC) known today. However, upon illumination it has been found to produce menaquinol, and this has led to experiments investigating the function of this reduction scheme. The goal of the experiment was to investigate the mechanisms of menaquinol production through the use of Photosystem II (PSII) herbicides that are known to inhibit the QB quinone site in Type II RCs. Seven herbicides were chosen, and out of all of them terbuthylazine showed the greatest effect on the RC in isolated membranes when Transient Absorption Spectroscopy was used. In addition, terbuthylazine decreased menaquinone reduction to menaquinol by ~72%, slightly more than the reported effect of teburtryn (68%)1. In addition, terbuthylazine significantly impacted growth of whole cells under high light more than terbutryn.
ContributorsOdeh, Ahmad Osameh (Author) / Redding, Kevin (Thesis director) / Woodbury, Neal (Committee member) / Allen, James (Committee member) / School of Molecular Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
In an increasingly interconnected world, the 17 Sustainable Development Goals are the United Nations’ framework for ensuring we continue to transform our world for the better, leaving no population behind. This study examines how the terminology of Sustainable Development Goal 17 for global partnership affects its implementation, focusing on “building capacity”—a widely referenced target in the development arena—and the involvement of the private sector. Key informant interviews with experts in the fields of conflict of interest, ethics, and development revealed a wide variety of (often conflicting) notions about partnership, frameworks for capacity development, and the interactions between public and private actors. A literature review of key policy documents examined the terminology and implementation of multistakeholder partnerships, and analysis offered considerations for risks and suggestions in policy terminology. Results indicate a need for increased attention to the use of partnership terminology as a catch-all term to encompass development work, and makes several recommendations for changes to combat misuse of the partnership label. Finally, this study acknowledges that there is a continued need for research-based evidence for effectiveness of the partnership-based development approach.
ContributorsThomson, Azalea Mae (Author) / Gaughan, Monica (Thesis director) / Hruschka, Daniel (Committee member) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The development of safe and effective vaccines has been one of the greatest public achievements of the 20th century. However, there is still considerable public debate about the relative health costs and benefits of vaccines, and the information and misinformation spread through these debates can have a direct impact on vaccination and whether or not herd immunity will continue in the United States for different diseases. To understand perceptions of vaccine risks and effectiveness among young adults in the U.S., this study describes Arizona State University students' perceptions of the harms and benefits of vaccines. A preliminary free list (n=30) identified what vaccines ASU college students were most likely to recall spontaneously. The six vaccines most commonly mentioned by ASU students were: influenza (flu), chickenpox, HPV, polio, MMR, and smallpox. Using these top six vaccines, we then developed a second survey about the knowledge and perceptions of each of these vaccines and vaccines as a whole. We found that students generally perceived vaccines as safe and important to their health, but they maintained an overall lack of understanding of how vaccines work and what they protect against. While this study is only a preliminary investigation into the perceptions of ASU college students on six commonly mentioned vaccines, this could lead to investigations on how to educate and promote the usage of vaccines to college students.
ContributorsGilson, Jacob (Co-author) / Sutton, Carly (Co-author) / Hruschka, Daniel (Thesis director) / Ruth, Alissa (Committee member) / W. P. Carey School of Business (Contributor) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Predicting the binding sites of proteins has historically relied on the determination of protein structural data. However, the ability to utilize binding data obtained from a simple assay and computationally make the same predictions using only sequence information would be more efficient, both in time and resources. The purpose of this study was to evaluate the effectiveness of an algorithm developed to predict regions of high-binding on proteins as it applies to determining the regions of interaction between binding partners. This approach was applied to tumor necrosis factor alpha (TNFα), its receptor TNFR2, programmed cell death protein-1 (PD-1), and one of its ligand PD-L1. The algorithms applied accurately predicted the binding region between TNFα and TNFR2 in which the interacting residues are sequential on TNFα, however failed to predict discontinuous regions of binding as accurately. The interface of PD-1 and PD-L1 contained continuous residues interacting with each other, however this region was predicted to bind weaker than the regions on the external portions of the molecules. Limitations of this approach include use of a linear search window (resulting in inability to predict discontinuous binding residues), and the use of proteins with unnaturally exposed regions, in the case of PD-1 and PD-L1 (resulting in observed interactions which would not occur normally). However, this method was overall very effective in utilizing the available information to make accurate predictions. The use of the microarray to obtain binding information and a computer algorithm to analyze is a versatile tool capable of being adapted to refine accuracy.
ContributorsBrooks, Meilia Catherine (Author) / Woodbury, Neal (Thesis director) / Diehnelt, Chris (Committee member) / Ghirlanda, Giovanna (Committee member) / Department of Psychology (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
A major recurring issue with aid-providing nonprofit organizations is the lack of accountability to recipients. In many cases, there are not clear-cut ways of measuring the efficiency or effectiveness of aid or to determine when and how the aid is failing to meet the needs of recipients. This study focused on one particular non-governmental organization, Project C.U.R.E., that provides medical aid to developing countries in the form of devices and equipment. It investigated the causes of misalignments observed in Project C.U.R.E.'s medical aid process, specifically with three loads that were shipped to the Ahwiaa, Akoti, Bassengele, Chirano, Humjibre, Ntrentrenso, Paboase, and Wenchi clinics as well as the Bibiani hospital in Ghana between June 2015 and May 2016. The medical aid donation process was observed at the each of its steps. Data was collected through interviews with Project C.U.R.E. employees and associates, and was organized and analyzed using Lean Six Sigma tools in order to find areas where the process broke down or failed. These tools included process mapping, root cause analysis through the use of Pareto charts and process failure mode and effects analysis (PFMEA). Once all of the issues from the shipment were categorized, it was found that the three most common types of issues were the preparation of the device being unclear or being unloaded incorrectly, power issues, and misalignment in terms training, needs, and infrastructure. The PFMEAs identified high-priority issues with missing fields in the Needs Assessment Booklet in the needs assessment step, misaligned products in terms of power availability in the planning step, and a lack of standardization in the warehouse operations step. 50 unique solutions were brainstormed in order to address these issues, as well as others. This means that Lean Six Sigma tools such as Pareto charts and PFMEA can be used to identify problems, identify causes and effects of problems, and help to produce solutions to the identified problems. In the future, more in-depth research into Project C.U.R.E.'s impact evaluation process could be pursued.
ContributorsFisk, Nicole Diane (Author) / Hruschka, Daniel (Thesis director) / Walters, Danielle (Committee member) / School of Human Evolution and Social Change (Contributor) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2016-12