Matching Items (266)
Description
Predicting the timing of a castrate resistant prostate cancer is critical to lowering medical costs and improving the quality of life of advanced prostate cancer patients. We formulate, compare and analyze two mathematical models that aim to forecast future levels of prostate-specific antigen (PSA). We accomplish these tasks by employing clinical data of locally advanced prostate cancer patients undergoing androgen deprivation therapy (ADT). While these models are simplifications of a previously published model, they fit data with similar accuracy and improve forecasting results. Both models describe the progression of androgen resistance. Although Model 1 is simpler than the more realistic Model 2, it can fit clinical data to a greater precision. However, we found that Model 2 can forecast future PSA levels more accurately. These findings suggest that including more realistic mechanisms of androgen dynamics in a two population model may help androgen resistance timing prediction.
ContributorsBaez, Javier (Author) / Kuang, Yang (Author) / College of Liberal Arts and Sciences (Contributor)
Created2016-11-16
Description
Joseph Rotblat (1908-2005) was the only physicist to leave the Manhattan Project for moral reasons before its completion. He would spend the rest of his life advocating for nuclear disarmament. His activities for disarmament resulted in the formation, in 1957, of the Pugwash conferences, which emerged as the leading global forum to advance limits on nuclear weapons during the Cold War. Rotblat's efforts, and the activities of Pugwash, resulted in both being awarded the Nobel Peace Prize in 1995. Rotblat is a central figure in the global history of resistance to the spread of nuclear weapons. He also was an important figure in the emergence, after World War II, of a counter-movement to introduce new social justifications for scientific research and new models for ethics and professionalism among scientists. Rotblat embodies the power of the individual scientist to say "no" and thus, at least individually, put limits of conscience on his or her scientific activity. This paper explores the political and ethical choices scientists make as part of their effort to behave responsibly and to influence the outcomes of their work. By analyzing three phases of Rotblat's life, I demonstrate how he pursued his ideal of beneficial science, or science that appears to benefit humanity. The three phases are: (1) his decision to leave the Manhattan Project in 1944, (2) his role in the creation of Pugwash in 1957 and his role in the rise of the organization into international prominence and (3) his winning the Nobel Peace Prize in 1995. These three phases of Rotblat's life provide a singular window of the history of nuclear weapons and the international movement for scientific responsibility in the 50 years since the bombing of Hiroshima in 1945. While this paper does not provide a complete picture of Rotblat's life and times, I argue that his experiences shed important light on the difficult question of the individual responsibility of scientists.
ContributorsEvans, Alison Dawn (Author) / Zachary, Gregg (Thesis director) / Hurlbut, Ben (Committee member) / Francis, Sybil (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2015-05
Description
The purpose of this study was to determine the ratio of vegetable to fruit incorporated during a fresh vegetable and/or fruit juice diet. Juicing is the process of extracting the liquid part of a plant, fruit, or vegetable. Food can be ground, pressed, and spun to separate the liquid from the pulp. A juice diet involves juicing and consuming a variety of vegetables and fruits. The primary objective of this study was to gather information about the ratio of vegetable to fruit incorporated in freshly made juices during a juice diet. Therefore, the study survey inquired about various topics related to ingredient ratio during a juice diet. The survey data allowed for examination of the relationships between ingredient ratio and certain variables (e.g. gender, age, length of time juicing, juice fast participation, health effects, etc.). The study participants were recruited using online social media. Facebook was the primary method for reaching the online juicing community. A written invitation was distributed in several health related Facebook groups encouraging any person with experience juicing to complete an anonymous survey. This post was also shared via Twitter and various health related websites. The study survey data was used to examine the relationships between ingredient ratio and specific variables. The survey data showed participants had varying levels of experience with juicing. The responses indicated many participants were familiar with juice fasting and many participants completed more than one juice fast. Based on the survey response data, the most common ratio of vegetable to fruit incorporated by the participants during a juice diet was 80% vegetable to 20% fruit. The majority of participants indicated daily consumption of freshly made juice containing 70% -100% vegetables. Based on the survey response data, beginner juicers may be less inclined to incorporate organic produce into their juice diet compared to advanced juicers. The majority of participants reported positive health benefits during a juice diet. Some of the positive health benefits indicated by participants include weight loss, increased energy, and a positive impact on disease symptoms. Some of the negative side effects experienced by participants during a juice diet include frequent urination, headache, and cravings. Cross tabulation calculations between the ratio of ingredients and several variables covered by the study survey demonstrated statistical significance (i.e. length of time juicing, frequency of drinking juice, juice fast participation, number of juice fasts completed, servings of vegetables/fruit in a juice, percent of organic vegetables/fruit used in a juice, perceived positive side effects, and perceived negative side effects). This study provided insight about the average ratio of vegetable to fruit incorporated by participants during a juice diet. When analyzing the data it is important to consider the survey data was self-reported. Therefore, every result and conclusion is based on the individual perceptions of the study participants. In future experimentation, the use of medical tests and blood work would be useful to determine the biological and biochemical effects of drinking raw vegetable and/or fruit juice on the human body.
ContributorsMata, Sara Ann (Author) / Mayol-Kreiser, Sandra (Thesis director) / Shepard, Christina (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2015-05
Description
Background:
Data assimilation refers to methods for updating the state vector (initial condition) of a complex spatiotemporal model (such as a numerical weather model) by combining new observations with one or more prior forecasts. We consider the potential feasibility of this approach for making short-term (60-day) forecasts of the growth and spread of a malignant brain cancer (glioblastoma multiforme) in individual patient cases, where the observations are synthetic magnetic resonance images of a hypothetical tumor.
Results:
We apply a modern state estimation algorithm (the Local Ensemble Transform Kalman Filter), previously developed for numerical weather prediction, to two different mathematical models of glioblastoma, taking into account likely errors in model parameters and measurement uncertainties in magnetic resonance imaging. The filter can accurately shadow the growth of a representative synthetic tumor for 360 days (six 60-day forecast/update cycles) in the presence of a moderate degree of systematic model error and measurement noise.
Conclusions:
The mathematical methodology described here may prove useful for other modeling efforts in biology and oncology. An accurate forecast system for glioblastoma may prove useful in clinical settings for treatment planning and patient counseling.
ContributorsKostelich, Eric (Author) / Kuang, Yang (Author) / McDaniel, Joshua (Author) / Moore, Nina Z. (Author) / Martirosyan, Nikolay L. (Author) / Preul, Mark C. (Author) / College of Liberal Arts and Sciences (Contributor)
Created2011-12-21
Description
Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median survival time is only twelve months from initial diagnosis: Patients who live more than three years are considered long-term survivors [2]. GBMs are highly invasive and their diffusive growth pattern makes it impossible to remove the tumors by surgery alone [3]. The purpose of this paper is to use individual patient data to parameterize a model of GBMs that allows for data on tumor growth and development to be captured on a clinically relevant time scale. Such an endeavor is the rst step to a clinically applicable predictions of GBMs. Previous research has yielded models that adequately represent the development of GBMs, but they have not attempted to follow specic patient cases through the entire tumor process. Using the model utilized by Kostelich et al. [4], I will attempt to redress this deciency. In doing so, I will improve upon a family of models that can be used to approximate the time of development and/or structure evolution in GBMs. The eventual goal is to incorporate Magnetic Resonance Imaging (MRI) data into a parameterized model of GBMs in such a way that it can be used clinically to predict tumor growth and behavior. Furthermore, I hope to come to a denitive conclusion as to the accuracy of the Koteslich et al. model throughout the development of GBMs tumors.
ContributorsManning, Miles (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Preul, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
As obesity rates continue to rise in adolescents and young children, the concern for poor future health of the younger population grows. Physical activity and improving nutrition are two ways to combat obesity rates, and the Sustainability via Active Gardening Education (SAGE) project addresses this in underserved and low-income communities in Maricopa County. This project employs a curriculum designed to promote physical activity and healthy eating for Early Care and Education (ECE) sites, most of which are daycares. Further, utilizing indicators of future health can also allow for us to understand and lower obesity rates. One indicator of future health is grip strength: greater grip strength is associated with healthier outcomes such as lower triglycerides, blood pressure, and body mass index. Grip strength has been observed in the older population; however, there are few studies looking at grip strength in younger children, namely preschoolers. As grip strength is a predictor of health, it follows that it should be observed in preschoolers, and improved, if possible, by factors such as physical activity, which would ultimately improve obesity rates. This study aimed to see if there was any relationship between physical activity and grip strength in preschoolers aged 3-5 years old. To do so, grip strength, hand length, height, weight, and information regarding physical activity of preschoolers enrolled in the SAGE project were collected.
Physical activity and grip strength were not found to be significantly associated in this study; however, hand length and hand strength were associated. Among secondary outcomes, it was observed that males of ages 3 to 5-years-old may have greater hand grip strength than females of the same age group. Although this was not statistically significant, there was a trend toward statistical significance. Small sample size hampered observation of expected relationships between hand grip strength and dominant hand of the participants, and hand grip strength was not significantly related with BMI. Future directions would consist of collecting longitudinal data, as well as calling back previous years’ participants for additional data, so that there is a larger sample size for data analysis.
ContributorsAtluri, Haarika (Author) / Lee, Rebecca (Thesis director) / Tucker, Derek (Committee member) / Cantu Garcia, Lisbeth (Committee member) / De Mello, Gabrielli (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05