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Description
The health benefits of sufficient moderate-to-vigorous physical activity (MVPA) and sleep arewell-supported, with established links to decreased cancer risk, cardiometabolic health, all-cause mortality, and psychiatric symptomatology—including stress-related phenomena—for those who engage in 150 min MVPA/week and get at least 7 hours sleep/night. The latter outcome has rapidly become a major

The health benefits of sufficient moderate-to-vigorous physical activity (MVPA) and sleep arewell-supported, with established links to decreased cancer risk, cardiometabolic health, all-cause mortality, and psychiatric symptomatology—including stress-related phenomena—for those who engage in 150 min MVPA/week and get at least 7 hours sleep/night. The latter outcome has rapidly become a major public health concern as our nation grapples with the impact of prolonged COVID-19 pandemic stress, which has triggered an onslaught of depression, anxiety, and PTSD throughout the population. Thus, while strategies to decrease stress are desperately needed, many Americans fall short of the very MVPA and sleep recommendations that have been shown to increase their capacity to cope. The purpose of the present study was to explore time-varying associations of MVPA and sleep with momentary perceived stress in adults forced to work from home due to the COVID-19 pandemic. Thirty remote-working adults (86.7% women; mean age 37.5 years, SD = 10.4 years) wore GENEActiv accelerometers on the wrist to capture MVPA and sleep data, and answered four Ecological Momentary Assessments (EMAs) per day regarding perceived stress, for fourteen days straight. Between- and within-person variations in MVPA, sleep quality rating (SQR), total sleep time (TST), and sleep efficiency (SE) were analyzed via multilevel models to determine whether certain changes in these parameters might lead to decreased perceived momentary stress. Between-person models revealed a significant negative effect of SQR on perceived stress levels the next day, beta= -.651, SE= .303, P= .04. Mean MVPA, TST, and SE were not significant inter-individual predictors of momentary stress. However, within persons, higher than normal MVPA (beta= -.005, SE= .002, P= .015), SQR (beta= -.277, SE= .071, P <.001), TST (beta= -.001, SE= .000, P = .004), and SE (beta= -.524, SE= .242, P = .031) were all associated with significant decreases in momentary stress, with individuals experiencing incremental benefits with each additional minute of MVPA and TST. In conclusion, daily fluctuations in MVPA and sleep habits correlate more strongly with momentary stress than do typical levels of these behaviors; this presents an attainable strategy for individuals to enhance their capacity to cope.
ContributorsLyons, Rachel Crosley (Author) / Buman, Matthew P (Thesis advisor) / Der Ananian, Cheryl (Committee member) / McCracken, Kasondra (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Spatial data is fundamental in many applications like map services, land resource management, etc. Meanwhile, spatial data inherently comes with abundant context information because spatial entities themselves possess different properties, e.g., graph or textual information, etc. Among all these compound spatial data, geospatial graph data is one of the most

Spatial data is fundamental in many applications like map services, land resource management, etc. Meanwhile, spatial data inherently comes with abundant context information because spatial entities themselves possess different properties, e.g., graph or textual information, etc. Among all these compound spatial data, geospatial graph data is one of the most challenging for the complexity of graph data. Graph data is commonly used to model real scenarios and searching for the matching subgraphs is fundamental in retrieving and analyzing graph data. With the ubiquity of spatial data, vertexes or edges in graphs are enriched with spatial location attributes side by side with other non-spatial attributes. Graph-based applications integrate spatial data into the graph model and provide more spatial-aware services. The co-existence of the graph and spatial data in the same geospatial graph triggers some new applications. To solve new problems in these applications, existing solutions develop an integrated system that incorporates the graph database and spatial database engines. However, existing approaches suffer from the architecture where graph data and spatial data are isolated. In this dissertation, I will explain two indexing frameworks, GeoReach and RisoTree, which can significantly accelerate the queries in geospatial graphs. GeoReach includes a query operator that adds spatial data awareness to a graph database management system. In GeoReach, the neighborhood spatial information is summarized and stored on each vertex in the graph. The summarization includes three different structures according to the location distribution. These spatial summaries are utilized to terminate the graph search early.RisoTree is a hierarchical tree structure where each node is represented by a minimum bounding rectangle (MBR). The MBR of a node is a rectangle that encloses all its children. A key difference between RisoTree and RTree is that RisoTree contains pre-materialized subgraph information to each index node. The subgraph information is utilized during the spatial index search phase to prune search paths that cannot satisfy the query graph pattern. The RisoTree index reduces the search space when the spatial filtering phase is performed with relatively light cost.
ContributorsSun, Yuhan (Author) / Sarwat, Mohamed (Thesis advisor) / Tong, Hanghang (Committee member) / Candan, Kasim S (Committee member) / Zhao, Ming (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Ecological phenomena act on various spatial and temporal scales. To understand what causes animal populations to build and decline depends heavily on abiotic and biotic conditions which vary spatiotemporally throughout the biosphere. One excel- lent example of animal populations dynamics is with locusts. Locusts are a subset of grasshoppers that

Ecological phenomena act on various spatial and temporal scales. To understand what causes animal populations to build and decline depends heavily on abiotic and biotic conditions which vary spatiotemporally throughout the biosphere. One excel- lent example of animal populations dynamics is with locusts. Locusts are a subset of grasshoppers that undergo periodical upsurges called swarms. Locust swarms have plagued human history by posing significant threats to global food security. For example, the 2003-2005 desert locust (Schistocerca gregaria) swarm destroyed 80%-100% of crops in the impacted areas and cost over US $500 million in mitigation as estimated by the Food and Agriculture Organization of the United Nations. An integrative multi-scale approach must be taken to effectively predict and manage locust swarms. For my dissertation, I looked at the ecological causes of locust swarms on multiple scales using both the Australian plague locust (Chortoicetes terminifera) and desert locust as focal species. At the microhabitat scale, I demonstrated how shifts in the nutritional landscape can influence locust gregarization. At the field level, I show that locust populations avoid woody vegetation likely due to the interactive effect of plant nutrients, temperature, and predators. At the landscape level, I show that adaptations to available nutrient variation depends on life history strategies, such as migratory capabilities. A strong metapopulation structure may aid in the persistence of locust species at larger spatial scales. Lastly, at the continental scale I show the relationship between preceding vegetation and locust outbreaks vary considerably between regions and seasons. However, regardless of this variation, the spatiotemporal structure of geographic zone > bioregion > season holds constant in two locust species. Understanding the biologically relevant spatial and temporal scales from individual gregarization (e.g. micro-habitat) to massive swarms (e.g. landscape to continental) is important to accurately predicting where and when outbreaks will happen. Overall, my research highlights that understanding animal population dynamics requires a multi-scale and trans-disciplinary approach. Into the future, integrating locust re- search from organismal to landscape levels can aid in forecasting where and when locust outbreaks occur.
ContributorsLawton, Douglas (Author) / Cease, Arianne J (Thesis advisor) / Waters, Cathy (Thesis advisor) / Throop, Heather (Committee member) / Wu, Jianguo (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Providing adequate resources for undergraduate students’ career development has been of utmost importance to meet demands from national agencies and industry leaders. At Arizona State University, the size of the undergraduate populations in the School of Life Sciences (SOLS) grew from 1,591 to 3,661, an increase of over 130%

Providing adequate resources for undergraduate students’ career development has been of utmost importance to meet demands from national agencies and industry leaders. At Arizona State University, the size of the undergraduate populations in the School of Life Sciences (SOLS) grew from 1,591 to 3,661, an increase of over 130% from 2003-2017. As of December 19, 2019, SOLS hosted a record 5,318 undergraduate majors on campus and 1,646 students in its online biological sciences program. This steady increase in life science undergraduate student enrollment at ASU attested to the need for appropriate career development education to be woven into the curriculum. Under the framework of higher education’s purpose to provide adequate resources for career success, a career development intervention was designed and implemented as a career planning course for life science students. The purpose of this project was to provide a continuum of job and career information to SOLS’ students to ensure they had appropriate, comprehensive information as they learned about and considered various career opportunities in the life sciences. Three theoretical perspectives guided the research project: Holland’s (1985, 1997) theory of vocational personalities and their connections to work environments, Sampson, Peterson, Reardon and Lenz’s (2003) cognitive information processing career decision theory (CIP), and Bandura’s (1986) self-efficacy theory. Survey results showed increases in all seven constructs—knowledge of career exploration and development tasks, perception of possible professional and career goals and opportunities, goal selection, occupational information, problem solving, planning, self-appraisal—over time among the students. Interview data indicated students noted (a) enrollment in the course for reasons such as determining a career choice that met their needs and preferences while managing expectations and pressures from external sources; (b) broadening perceptions of career options, and (c) developing career exploration and planning skills. The success from this discipline-specific career development course was timely because university leaders were seeking solutions to increase students’ career readiness. The discussion focused on complementarity of the data, connections to the extant research, implications for practice and research, personal lessons learned, and a conclusion.
ContributorsChristianson, Serena L. (Author) / Buss, Ray R. (Thesis advisor) / Fong, Raquel (Committee member) / Reardon, Robert (Committee member) / Arizona State University (Publisher)
Created2021
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Description
The purpose of this study was to investigate how to decrease teacher stress and burnout by a virtual online mindfulness practice intervention with cognitive apprenticeship, self-determination, and self-efficacy theory as the frameworks. Teaching in the United States K-12 public school system is a stressful occupation because of the higher level

The purpose of this study was to investigate how to decrease teacher stress and burnout by a virtual online mindfulness practice intervention with cognitive apprenticeship, self-determination, and self-efficacy theory as the frameworks. Teaching in the United States K-12 public school system is a stressful occupation because of the higher level of responsibility within schools that requires resilient stress coping skills for overall well-being. My research project’s purpose was to examine instruction and training in mindfulness practice as a tool to cultivate stress coping skills in K-12 teachers through a six-week mindfulness virtual online course (MVOC). This study involved 5 participants with the methodology employed was an explanatory sequential mixed-methods approach which included quantitative data collection with pre-and post-surveys, which included the Perceived Stress Scale (PSS), the Kentucky Inventory of Mindfulness Skills Questionnaire (KIMS - Short), and the Philadelphia Mindfulness Scale (PHMS) with Linkert scale questions. Subsequently, followed by three qualitative interviews over six weeks to facilitate a case study consideration. The action research study results exhibited reduced stress following an increase in awareness from developing a personal mindfulness practice. Furthermore, the MVOC intervention helped the participants build a daily personalized mindfulness practice that improved their stress coping skills and was also beneficial in specific ways, which promises teachers whom routine mindfulness practice will cultivate progressively effective stress coping skills and assist K-12 teachers to enjoy increased job satisfaction and reducing the leading cause of burnout.
ContributorsPinthong, Uraipanyawan (Bo) (Author) / Giorgis, Cyndi (Thesis advisor) / Gonzales, Deborah (Committee member) / Sebren, Ann (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Quantifying molecular interactions is critical to the understanding of many biological processes and drug screening. To date, various detection techniques have been developed to determine the binding kinetics. However, because most of the mainstream detection technologies detect signals that scale with the mass of ligands bond to the sensor surface,

Quantifying molecular interactions is critical to the understanding of many biological processes and drug screening. To date, various detection techniques have been developed to determine the binding kinetics. However, because most of the mainstream detection technologies detect signals that scale with the mass of ligands bond to the sensor surface, it is still challenging to quantify the binding kinetics of small molecules. To address this problem, two different detection technologies, charge-sensitive optical detection (CSOD) and critical angle reflection (CAR), are developed for label-free detection of molecular interactions with the ability to detect a wide range of molecules including small molecules. In particular, CSOD technique detects the charge rather than the mass of a molecule with an optical fiber. However, the effective charge of a molecule decreases with the buffer ionic strength. For this reason, the previous CSOD works with diluted buffers, which could affect the measured molecular binding kinetics. Here a technique capable of detecting molecular binding kinetics in normal ionic strength buffers is presented. An H-shaped sample well was developed to overcome this problem. With this new design, the binding kinetics between G-protein-coupled receptors (GPCRs) and their small molecule ligands were measured in normal buffer. To further improve the signal-to-noise ratio of CSOD and move it toward high-throughput detection, CSOD was implemented with a quadrant-cell detector to achieve detection in higher frequency range and decrease low-frequency noise.This improved CSOD technique is capable for direct quantification of binding kinetics of phage-displayed peptides to their target protein using the whole phages. CAR imaging can be performed on surface plasmon resonance (SPR) imaging setups. It was shown that CAR is capable of measuring molecular interactions including proteins, nucleic acids and cell-based detections. In addition, it was shown that CAR can detect small molecule bindings and intracellular signals beyond SPR sensing limit. CAR exhibits several distinct characteristics over SPR, including tunable sensitivity and dynamic range, deeper vertical sensing range, and fluorescence compatibility. CAR is anticipated to have the ability to expand SPR capability in small molecule detection, whole cell-based detection, simultaneous fluorescence imaging, and broader conjugation chemistry.
ContributorsLiang, Runli (Author) / Wang, Shaopeng (Thesis advisor) / Blain Christen, Jennifer (Thesis advisor) / Jing, Tianwei (Committee member) / Wang, Chao (Committee member) / Arizona State University (Publisher)
Created2021
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Description
This research scrutinizes theatre teaching practice through a teacher perspective to find mechanisms that enable health promotion and quality theatre-making skills for students. The critical investigations conducted are twofold. First, I examine the intersection of my 18 years of experience teaching high school drama for connections to theatre and health

This research scrutinizes theatre teaching practice through a teacher perspective to find mechanisms that enable health promotion and quality theatre-making skills for students. The critical investigations conducted are twofold. First, I examine the intersection of my 18 years of experience teaching high school drama for connections to theatre and health research. I employ a narrative inquiry method to analyze lived experience to create an initial health promotion framework. And second, I interrogate that framework investigating the experience of a focus group of other high school drama teachers, a high school counselor, and a psychologist. This study reveals that drama teachers perceive their drama programs as psychologically, socially, and emotionally health-promoting for involved students. Furthermore, this study identifies the complex processes, relationships, and components of the theatre-making that the teachers pinpoint as preconditions and mechanisms that enhance and enable student flourishing. The teachers describe themselves as key to health promotion by modeling the artistry of theatre and the art form's social and emotional skills. Their narratives demonstrate that flexible time, their students, and the relationships they build with them as preconditions to maximize health promotion. Specifically, they identify the creation of a safe, supportive environment as foundational to the process.
ContributorsOlsen, Nicola (Author) / Etheridge-Woodson, Stephani (Thesis advisor) / Underiner, Tamara (Committee member) / McAvoy, Mary (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Engineering materials and structures undergo a wide variety of multiaxial fatigue loading conditions during their service life. Some of the most complex multiaxial loading scenarios include proportional/non-proportional loading, mix-mode loading, overload/underload, etc. Such loadings are often experienced in many critical applications including aircraft, rotorcraft, and wind turbines. Any accidental failure

Engineering materials and structures undergo a wide variety of multiaxial fatigue loading conditions during their service life. Some of the most complex multiaxial loading scenarios include proportional/non-proportional loading, mix-mode loading, overload/underload, etc. Such loadings are often experienced in many critical applications including aircraft, rotorcraft, and wind turbines. Any accidental failure of these structures during their service life can lead to catastrophic damage to life, property, and environment. All fatigue failure begins with the nucleation of a small crack, followed by crack growth, and ultimately the occurrence of final failure; however, the mechanisms governing the crack nucleation and the crack propagation behavior depend on the nature of fatigue loading and microstructure of the material. In general, ductile materials witness multiple nucleation sites leading to its failure; however, high strength material fails from the nucleation of a single dominant crack. Crack propagation, on the other hand, is governed by various competing mechanisms, which can act either ahead of the crack tip or in the wake region of the crack. Depending upon the magnitude of load, overload/underload, mode-mixity, and microstructure, dominant governing mechanisms may include: crack tip blunting; crack deflection, branching and secondary cracking; strain hardening; residual compressive stresses; plasticity-induced closure, etc. Therefore, it is essential to investigate the mechanisms governing fatigue failure of structural components under such complex multiaxial loading conditions in order to provide a reliable estimation of useful life. The research presented in this dissertation provides the foundation for a comprehensive understanding of fatigue damage in AA 7075 subjected to a range of loading conditions. A series of fatigue tests were conducted on specially designed specimens under different forms of multiaxial loading, which was followed by fracture-surface analysis in order to identify the governing micromechanisms and correlate them with macroscopic fatigue damage behavior. An empirical model was also developed to predict the crack growth rate trend under mode II overloads in an otherwise constant amplitude biaxial loading. The model parameters were calculated using the shape and the size of the plastic zone ahead of the crack tip, and the degree of material hardening within the overload plastic zone. The data obtained from the model showed a good correlation with the experimental values for crack growth rate in the transient region.
ContributorsSingh, Abhay Kumar (Author) / Chattopadhyay, Aditi (Thesis advisor) / Dai, Lenore (Committee member) / Liu, Yongming (Committee member) / Jiao, Yang (Committee member) / Fard, Masoud Y (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Forget You’re Female focuses on stories of women pursuing engineering degrees and women in the field of engineering. The main character, Samantha (Sam), comes from a family of engineers and is unsure whether she wants to study engineering in college. In Opening-Decision, a university admissions counselor insists that Sam enters

Forget You’re Female focuses on stories of women pursuing engineering degrees and women in the field of engineering. The main character, Samantha (Sam), comes from a family of engineers and is unsure whether she wants to study engineering in college. In Opening-Decision, a university admissions counselor insists that Sam enters the engineering program. Sam expresses excitement for the degree in Engineer. However, she faces discrimination and microaggressions in First Class and Peers. These experiences lead her to seek a professor’s advice in Forget You’re Female. Jack’s Song explores the moment when a male student discovers overt sexism in a public part of the engineering building. Finally, in Graduation, Sam completes the degree and reflects on her experiences and potential longevity in the engineering field. There are some staging instructions written into the score, however, lighting instructions are the only required element. Extras and props are optional but help convey the scene of each song. Projecting relevant footage or written descriptors is recommended in place of extras and props. If no extras are available, then spoken lines (male) need to be recorded and played back as indicated in the score.
ContributorsBush, Zachary Warren (Author) / Rockmaker, Jody (Thesis advisor) / Caslor, Jason (Committee member) / Temple, Alex (Committee member) / Arizona State University (Publisher)
Created2021
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Description
This thesis investigates the description of sensation in the scenes immediately before, during, and following the death of Tristan in variations in the Tristan cycle from the 12th through the 15th centuries. Using a sensory studies approach, the project considers these scenes as they are translated and transmitted from Thomas

This thesis investigates the description of sensation in the scenes immediately before, during, and following the death of Tristan in variations in the Tristan cycle from the 12th through the 15th centuries. Using a sensory studies approach, the project considers these scenes as they are translated and transmitted from Thomas de Bretagne’s Tristan to the Old Norse Tristrams saga ok Ísöndar and Saga af Tristram ok Ísodd and into Sir Thomas Malory’s Le Morte d’Arthur, the last, great medieval treatment of the Tristan story. The scenes are understood in the context of the texts’ sensoria as defined by their cultural and historical contexts and the texts’ underpinning in philosophical and theological thought on the senses. The thesis project argues that the specific cultural preferences and usages of the senses can be made apparent through the comparison of Thomas’s Tristan, the Norse translations, and Malory’s text. Taken together, they show the importance of considering medieval translation when comparing the appearance of the senses in written artefacts from the Middle Ages. The sensory engagement with texts is deeply tied to the making of meaning and ethics in medieval literary works. The differences in how the senses are prioritized and framed suggest a larger variance within European Christian philosophical and theological thought on the senses and provide a potential framework for exploring this phenomenon in other medieval literary cycles.
ContributorsRebe, Tristan J (Author) / Newhauser, Richard G (Thesis advisor) / Bjork, Robert (Committee member) / Cruse, Markus (Committee member) / Arizona State University (Publisher)
Created2021