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- Creators: Arizona State University
- Creators: Mozart, Wolfgang Amadeus, 1756-1791
Description
The development of online program options in higher education has prompted the discussion of how well the modality fits the nature of social work education and the Council on Social Work Accreditation (CSWE) educational standards. To examine the relationship between online education and social work education, this research study focused on empathy. Conceptualized as the ability to share and understand the feelings of others, empathy is at the core of social work education and practice. The primary purpose of this research study was to examine whether the cultivation of interpersonal empathy and social empathy changes by in-person and online education. An ongoing debate centers on the effectiveness of online instructional delivery in the virtual environment, as compared to in-person instruction in a physical classroom. Therefore, it is valuable to examine if the level of empathy scores for students changes from the beginning to the end of a Master of Social Work (MSW) degree program at Arizona State University, according to the mode of instruction, online versus in-person. Among the sample of 185 participants in the pre-test survey and 86 participants in the post-test survey, empathy levels were examined by time (pre-test to post-test) and by mode of instructional delivery (online versus in-person). To better understand the constructs and the relationship among the variables, critical theory was applied. In addition, the pedagogical theories of andragogy, transformative learning, and the Community of Inquiry model were informative. Findings revealed that the empathy survey instrument had high reliability, the levels of empathy increased for MSW students over time, and students’ empathy levels did not differ by in-person versus online modes of instruction, with the exception of the social empathy component of contextual understanding. The study findings have implications for social work education and future research. These implications highlight the need to explore how to best cultivate empathy in social work education, while continuing to examine the association of the mode of delivery with educational outcomes important to the profession of social work.
ContributorsReyes, Melanie S (Author) / Segal, Elizabeth A. (Thesis advisor) / Anthony, Elizabeth (Committee member) / Adelman, Madelaine (Committee member) / Arizona State University (Publisher)
Created2021
Description
The field of prostheses and rehabilitation devices has seen tremendous advancement since the ’90s. However, the control aspect of the said devices is lacking. The need for mathematical theories to improve the control strategies is apparent. This thesis attempts to bridge the gap by introducing some dynamic system analysis and control strategies.Firstly, the human gait dynamics are assumed to be periodic. Lyapunov Floquet theory and Invariant manifold theory are applied. A transformation is obtained onto a simple single degree of freedom oscillator system. The said system is transformed back into the original domain and compared to the original system. The results are discussed and critiqued. Then the technique is applied to the kinematic and kinetic data collected from healthy human subjects to verify the technique’s feasibility. The results show that the technique successfully reconstructed the kinematic and kinetic data.
Human gait dynamics are not purely periodic, so a quasi-periodic approach is adopted. Techniques to reduce the order of a quasi-periodic system are studied. Lyapunov-Peron transformation (a surrogate of Lyapunov Floquet transformation for quasi-periodic systems) is studied. The transformed system is easier to control. The inverse of the said transformation is obtained to transform back to the original domain. The application of the techniques to different cases (including externally forced systems) is studied.
The reduction of metabolic cost is presented as a viable goal for applying the previously studied control techniques. An experimental protocol is designed and executed to understand periodic assistive forces' effects on human walking gait. Different tether stiffnesses are used to determine the best stiffness for a given subject population. An estimation technique is introduced to obtain the metabolic cost using the center of mass's kinematic data.
Lastly, it is concluded that the mathematical techniques can be utilized in a robotic tail-like rehabilitation device. Some possible future research ideas are provided to implement the techniques mentioned in this dissertation.
ContributorsBhat, Sandesh Ganapati (Author) / Redkar, Sangram (Thesis advisor) / Sugar, Thomas G (Committee member) / Rogers, Bradley (Committee member) / Arizona State University (Publisher)
Created2021
Description
This research seeks to present the design and testing of exoskeletons capable of assisting with walking gait, squatting, and fall prevention activities. The dissertation introduces wearable
robotics and exoskeletons and then progresses into specific applications and developments in the
targeted field. Following the introduction, chapters present and discuss different wearable
exoskeletons built to address known issues with workers and individuals with increased risk of fall.
The presentation is concluded by an overall analysis of the resulting developments and identifying
future work in the field.
ContributorsOlson, Jason Stewart (Author) / Redkar, Sangram (Thesis advisor) / Sugar, Thomas (Committee member) / Honeycutt, Claire (Committee member) / Arizona State University (Publisher)
Created2021
Description
Annually, more than 200 hikers are rescued in the greater Phoenix area. This study examined behavior influencing acute hydration status in hot (HOT) and moderate (MOD) climates, by examining fluid planning and decision making in combination with an educational video. A total of n=115 hikers completed self-paced hikes, n=56 hikers completed the hike in a HOT condition (wet bulb globe temperature [WBGT]=24.84°C) and n=59 hikers completed the hike in a MOD condition (WBGT=8.28°C). Real food and fluid behavior allowed participants to freely select the amount of food and fluid brought on the hike and intake was ad libitum. The following heat stress indicators were all significantly higher in the HOT condition compared to MOD condition (HOT median, MOD median; p-value): hike duration (1.48, 1.20; p<0.01), energy expenditure (561, 408, p<0.01), sweat rate (776, 465, p<0.01), and session rating of perceived exertion (RPE) scores (1177, 732, p<0.01). After watching a 3-minute hydration education video, and the opportunity to stock up on extra fluid, 54% of participants carried sufficient fluid in the HOT condition to meet their needs compared to 81% of participants in the MOD condition. However, only 23% of participants in the HOT condition consumed sufficient fluid to make up for fluid lost through sweating compared to 33% in the MOD condition. More than half of participants in the HOT condition (59%) and the MOD condition (76%) did not stock up on extra fluid after education. These results demonstrate that hikers did not consume sufficient fluids to meet their needs while hiking, especially in a hot climate. They also show heat stress negatively affected hikers’ performance measures. More research is required to assess the feasibility and efficacy of hydration related education videos at trailheads.
ContributorsNaldo, Rebecca (Author) / Wardenaar, Floris (Thesis advisor) / Vanos, Jennifer (Committee member) / Kavouras, Stavros (Committee member) / Arizona State University (Publisher)
Created2021
Description
Depression is a serious mental health concern that has increasing prevalence rates in the United States (Mojtabai et al., 2016). Asian Americans with depression tend to experience severe and persistent symptoms, but are significantly less likely to seek treatment than other racial/ethnic groups (Alegria et al., 2008; Lee et al., 2011). The current study utilized the Health Belief Model (HBM) to examine Asian American emerging adults’ depression-specific mental health beliefs and resulting intentions to seek mental health care. Furthermore, the current study tested the traditional HBM against an Asian value-informed HBM via structural equation modeling among a sample of 385 Asian American emerging adults (Mage = 21.81, SDage = 2.88). Primary study results indicated good model fit for both the traditional and Asian-value informed HBMs. Specifically, in the Asian-value informed HBM, perceived benefits of professional mental health care mediated the association between Asian value adherence and likelihood of mental health help-seeking. Post hoc analyses provided support for the Asian value-informed HBM over the traditional HBM. These results suggest that Asian cultural values influence mental health beliefs and, in turn, the likelihood of mental health help-seeking behaviors among Asian Americans. The results of the current study have important implications for practice as well as future research in highlighting the impact of cultural variables on mental health beliefs and behaviors among Asian American emerging adults.
ContributorsLam, Christina K. (Author) / Tran, Giac-Thao (Thesis advisor) / Bludworth, James (Committee member) / Yoo, Hyung (Committee member) / Arizona State University (Publisher)
Created2021
Description
With demand for increased efficiency and smaller carbon footprint, power system operators are striving to improve their modeling, down to the individual consumer device, paving the way for higher production and consumption efficiencies and increased renewable generation without sacrificing system reliability. This dissertation explores two lines of research. The first part looks at stochastic continuous-time power system scheduling, where the goal is to better capture system ramping characteristics to address increased variability and uncertainty. The second part of the dissertation starts by developing aggregate population models for residential Demand Response (DR), focusing on storage devices, Electric Vehicles (EVs), Deferrable Appliances (DAs) and Thermostatically Controlled Loads (TCLs). Further, the characteristics of such a population aggregate are explored, such as the resemblance to energy storage devices, and particular attentions is given to how such aggregate models can be considered approximately convex even if the individual resource model is not. Armed with an approximately convex aggregate model for DR, how to interface it with present day energy markets is explored, looking at directions the market could go towards to better accommodate such devices for the benefit of not only the prosumer itself but the system as a whole.
ContributorsHreinsson, Kári (Author) / Scaglione, Anna (Thesis advisor) / Hedman, Kory (Committee member) / Zhang, Junshan (Committee member) / Alizadeh, Mahnoosh (Committee member) / Arizona State University (Publisher)
Created2020
Description
The list of applications of plasmonic nanoparticles in the fields of energy research, sensing, and diagnostics and therapeutics is continuously growing. Processes for the synthesis of the nanoparticles for such applications should incorporate provision to easily functionalize the particle formed and should ideally not use toxic reagents or create toxic by-products. The traditional methods of synthesizing nanoparticles generally are energy inefficient, requires stringent conditions such as high temperature, pressure or extreme pH and often produces toxic by-products. Although there exist a few solution-based methods to solve this problem, there is one avenue which has recently gained attention for nanoparticle synthesis: using biomolecules to facilitate nanomaterials synthesis. Using biomolecules for synthesis can provide a template to guide the nucleation process and helps to keep conditions biocompatible while also combining the step of functionalization of the nanoparticle with its synthesis through the biomolecule itself. The dissertation focuses on studying the bio-templated synthesis of two such noble metal nanoparticle which have biomedical applications: gold and platinum. In chapter 2, Gold Nanoparticles (GNP), with long-term stability, were synthesized using Maltose Binding Protein (MBP) as templating agent. The site of gold interaction on MBP was identified by X-ray crystallography. A novel gold binding peptide, AT1 (YPFGGSGGSGM), was designed based on the orientation of the residues in the gold binding site, identified through crystallography. This designed peptide was also shown to have stabilized and affected the growth rate of GNP formation, in similar manner to MBP. Further in chapter 3, a nanosensor was formulated using a variation of this GNP-MBP system, to detect and measure ionizing radiation dose for cancer radiation therapy. Upon exposure to therapeutic levels of ionizing radiation, the MBP‐based sensor system formed gold nanoparticles with a dose‐dependent color that could be used to predict the amount of delivered X‐ray dose. In chapter 4, a similar system of protein templated synthesis was introduced for platinum nanoparticle (PtNP). Here, GroEL, a large homo-tetradecamer chaperone from E.coli, was used as templating and stabilizing agent for reduction of K2PtCl4 ions to form PtNP. To understand how GroEL interacts with the PtNPs and thereby stabilizes them, single-particle cryo-electron microscopy technique was used to model the complex in solution. A 3.8-Å resolution 3D cryo-EM map of GroEL depicting the location of PtNP inside its central cylindrical cavity was obtained. Fitting a GroEL model to the map revealed Arginine-268 from two adjacent subunits of GroEL interacting with the PtNP surface. Finally in chapter 5, a solution to the potential issues of single particle data processing on protein nanoparticle complexes, specifically with 2D classification, was developed by creating masking algorithms.
ContributorsThaker, Amar Nilkamal (Author) / Nannenga, Brent L (Thesis advisor) / Acharya, Abhinav (Committee member) / Torres, Cesar (Committee member) / Mills, Jeremy (Committee member) / Rege, Kaushal (Committee member) / Arizona State University (Publisher)
Created2020
Description
This dissertation investigated the use of membrane processes to selectively separate and concentrate nitrogen in human urine. The targeted nitrogen species to be recovered were urea from fresh human urine and unionized ammonia from hydrolyzed human urine. Chapter 1 investigated a novel two-step process of forward osmosis (FO) and membrane distillation (MD) to recover the urea in fresh human urine. Specifically, FO was used to selectively separate urea from the other components in urine and MD was used to concentrate the separated urea. The combined process was able to produce a product solution that had an average urea concentration that is 45–68% of the urea concentration found in the fresh urine with greater than 90% rejection of total organic carbon (TOC).Chapter 2 determined the transport behavior of low molecular weight neutral nitrogen compounds in order to maximize ammonia recovery from real hydrolyzed human urine by FO. Novel strategic pH manipulation between the feed and the draw solution allowed for up to 86% recovery of ammonia by keeping the draw solution pH <6.5 and the feed solution pH >11. An economic analysis showed that ammonia recovery by FO has the potential to be much more economically favorable compared to ammonia air stripping or ion exchange if the proper draw solute is chosen.
Chapter 3 investigated the dead-end rejection of urea in fresh urine at varying pH and the rejection of unionized ammonia and the ammonium ion in hydrolyzed urine by reverse osmosis (RO), nanofiltration (NF), and microfiltration (MF). When these different membrane separation processes were compared, NF is found to be a promising technology to recover up to 90% of ammonia from hydrolyzed urine with a high rejection of salts and organics.
Chapter 4 investigated the use of the RO and NF to recover ammonia from hydrolyzed human urine in a cross-flow system where both rejection and fouling experiments were performed. For both RO and NF, ammonia rejection was found to be 0% while still achieving high rejection of TOC and salts, and MF pretreatment greatly reduced the extent of fouling on the membrane surface.
ContributorsRay, Hannah (Author) / Boyer, Treavor H (Thesis advisor) / Perreault, Francois (Committee member) / Sinha, Shahnawaz (Committee member) / Arizona State University (Publisher)
Created2020
Description
This dissertation project explores the links between the ultimate drivers of variation in primate growth rates and their proximate (i.e., hormonal) underpinnings via a hard-tissue structure, the sella turcica. In doing so, it proposes a novel, non-destructive method for estimating individual somatic growth rates, which are presently difficult to infer in the hominin and primate fossil records. It also investigates the inter- and intraspecific effects of ecology and environment on the growth rates of extant primates.The ultimate causes, or selective pressures, shaping growth rate have long been the subject of anthropological research, but the proximate mechanisms that underpin variation in growth rate are less well studied. At the proximate level, somatic growth is the direct result of hormones produced by endocrine glands such as the pituitary. This project builds upon the relationship between the size of the pituitary, which is positively correlated with growth rate across mammalian taxa, and the sella turcica, the bony structure within which the pituitary gland is housed. By pairing 3D cranial morphology data with growth data from a well-studied primate population, this research tests whether the size of the nonhuman primate sella turcica reflects somatic growth rate. It also assesses how aspects of ecology and demography (i.e., ultimate causes such as resource availability, food quality, extrinsic mortality) relate to somatic growth rates both within the study population and across a comparative sample of 51 extant primate species. It further explores whether these ecological variables also explain variation in relative sella turcica size; together, the complementary components of this dissertation contribute to a better understanding of primate growth.
ContributorsMcGrosky, Amanda (Author) / Schwartz, Gary T (Thesis advisor) / Kimbel, William (Committee member) / Kamilar, Jason (Committee member) / Arizona State University (Publisher)
Created2021
Description
Inside cells, axonal and dendritic transport by motor proteins is a process that is responsible for supplying cargo, such as vesicles and organelles, to support neuronal function. Motor proteins achieve transport through a cycle of chemical and mechanical processes. Particle tracking experiments are used to study this intracellular cargo transport by recording multi-dimensional, discrete cargo position trajectories over time. However, due to experimental limitations, much of the mechanochemical process cannot be directly observed, making mathematical modeling and statistical inference an essential tool for identifying the underlying mechanisms. The cargo movement during transport is modeled using a switching stochastic differential equation framework that involves classification into one of three proposed hidden regimes. Each regime is characterized by different levels of velocity and stochasticity. The equations are presented as a state-space model with Markovian properties. Through a stochastic expectation-maximization algorithm, statistical inference can be made based on the observed trajectory. Regime predictions and particle location predictions are calculated through an auxiliary particle filter and particle smoother. Based on these predictions, parameters are estimated through maximum likelihood. Diagnostics are proposed that can assess model performance and therefore also be a form of model selection criteria. Model selection is used to find the most accurate regime models and the optimal number of regimes for a certain motor-cargo system. A method for incorporating a second positional dimension is also introduced. These methods are tested on both simulated data and different types of experimental data.
ContributorsCrow, Lauren (Author) / Fricks, John (Thesis advisor) / McKinley, Scott (Committee member) / Hahn, Paul R (Committee member) / Reiser, Mark (Committee member) / Cheng, Dan (Committee member) / Arizona State University (Publisher)
Created2021