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Identifying and Evaluating the Impact of Ecological Factors on the Patterns of Health Risk Behaviors Among Arizona State University Students: A Survey-Based Study

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Ecological modeling can be used to analyze health risk behaviors and their relationship to ecological factors, which is useful in determining how social environmental factors influence an individual’s decisions. Environmental interactions shape the way that humans behave throughout the day,

Ecological modeling can be used to analyze health risk behaviors and their relationship to ecological factors, which is useful in determining how social environmental factors influence an individual’s decisions. Environmental interactions shape the way that humans behave throughout the day, either through observation, action, or consequences. Specifically, health risk behaviors can be analyzed in relation to ecological factors. Alcohol drinking among college students has been a long concern and there are many risks associated with these behaviors in this population. Consistent engagement in health risk behaviors as a college student, such as drinking and smoking, can pose a much larger issues later in life and can lead to many different health problems. A research study was conducted in the form of a 27 question survey to determine and evaluate the impact of ecological factors on drinking and smoking behaviors among Arizona State University students. Ecological factors such as demographics, living conditions, contexts of social interactions, and places where students spend most of their time were used to evaluate the relationship between drinking and smoking behaviors and the ecological factors, both on- and off- campus. The sample size of this study is 541 students. Statistical tests were conducted using Excel and RStudio to find relationships between patterns of health risk behaviors and various ecological factors. The data from the survey was analyzed to address three main questions. The first question analyzed drinking behaviors in relation to demographics, specifically gender and race. The second question assessed drinking behaviors with participation in Greek life and clubs on campus. The third question evaluated the relationship between health risk behaviors and students’ living conditions, such as living on or off campus. The results show that while gender does not have a statistically significant influence on drinking behaviors, race does. White individuals are more likely to engage in drinking behaviors and are more at risk than non-whites. Participation in Greek life was shown to be statistically significant in determining health risk behaviors, while involvement in clubs was not. Finally, on campus students are less likely to engage in health risk behaviors than off-campus students.

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2019-05

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The Design, Development, and Marketing of a Mobile Game

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The thesis document describes in detail the decision making process and research that went into each step in the process of designing, coding, launching, and marketing a mobile game. This includes major challenges and methodologies for overcoming them or changing

The thesis document describes in detail the decision making process and research that went into each step in the process of designing, coding, launching, and marketing a mobile game. This includes major challenges and methodologies for overcoming them or changing course as well as significant revisions that were made to the game upon receiving market and user feedback. The game, Sheep In Space, was launched on to the Windows Phone 8 marketplace initially via the use of the GameMaker: Studio game engine. From there, following a series of revisions Sheep In Space launched on the Android marketplace and has been undergoing further changes before the final launch to iOS. The revision and launch strategy was determined based off of market feedback from a variety of facets, including direct word of mouth, reviews, downloads, analytics data, and social media reaction.

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2014-12

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Synthesis of Dual Layered Microparticles for Tunable Delayed Release Profile

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The primary objective of this research project is to develop dual layered polymeric microparticles with a tunable delayed release profile. Poly(L-lactic acid) (PLA) and poly(lactic-co-glycolic acid) (PLGA) phase separate in a double emulsion process due to differences in hydrophobicity, which

The primary objective of this research project is to develop dual layered polymeric microparticles with a tunable delayed release profile. Poly(L-lactic acid) (PLA) and poly(lactic-co-glycolic acid) (PLGA) phase separate in a double emulsion process due to differences in hydrophobicity, which allows for the synthesis of double-walled microparticles with a PLA shell surrounding the PLGA core. The microparticles were loaded with bovine serum albumin (BSA) and different volumes of ethanol were added to the PLA shell phase to alter the porosity and release characteristics of the BSA. Different amounts of ethanol varied the total loading percentage of the BSA, the release profile, surface morphology, size distribution, and the localization of the protein within the particles. Scanning electron microscopy images detailed the surface morphology of the different particles. Loading the particles with fluorescently tagged insulin and imaging the particles through confocal microscopy supported the localization of the protein inside the particle. The study suggest that ethanol alters the release characteristics of the loaded BSA encapsulated in the microparticles supporting the use of a polar, protic solvent as a tool for tuning the delayed release profile of biological proteins.

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2015-05

Statistical Modeling of Drug Release from Spherical Surface-Degrading Particle Batch

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The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be

The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be applied during manufacturing to explore tolerances and increase cost and time effectiveness. Theoretical data for the time to 60% drug release and the slope and intercept of the log-log plot were collected and subjected to statistical analysis in JMP. Since the scope of this project focuses on microparticle surface degradation drug release with no drug diffusion, the characteristic variables relating to the slope (n = diffusional release exponent) and the intercept (k = kinetic constant) do not directly apply to the distribution model within the scope of the research. However, these variables are useful for analysis when the Mathcad template is applied to other types of drug release models.

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2021-05