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Articles 991 - 1020 of 60132
Full-Text Articles in Entire DC Network
Zoning Regulations Are Harming Nebraska’S Wind Energy Future, Carter Probst
Zoning Regulations Are Harming Nebraska’S Wind Energy Future, Carter Probst
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
Nebraska is a prime location for renewable energy sources, such as wind. According to Climate Central, a policy-neutral non-profit, “While Nebraska ranks fourth among U.S States for potential wind energy generation, it ranks 15th in installed capacity.” What is the number one reason Nebraska has not fully tapped into its potential, which would have numerous economic and climate benefits? Harsh zoning regulations at the county level, fueled by misinformation, have made installation of wind turbines nearly impossible across multiple counties in Nebraska.
Leveraging Geo-Ai To Evaluate Conservation Land Conditions In Nebraska, Usa, Fnu Jahangeer
Leveraging Geo-Ai To Evaluate Conservation Land Conditions In Nebraska, Usa, Fnu Jahangeer
Community and Regional Planning Program: Theses
Wetlands are among the most vital natural resources, offering extensive ecosystem services that benefit human societies. However, human activities and disturbances have led to widespread wetland degradation and loss worldwide. Key factors contributing to this degradation include pollution, exploitation of biological resources, modifications to natural systems, and agricultural and aquacultural practices. This study examines wetland conservation efforts in Nebraska, focusing on three main areas: (1) AI-Driven Applications in Google Earth Engine for Surface Water Monitoring, Assessment, and Management; (2) Assessing Wetland Hydrological Performance under Three Conservation Programs in Nebraska through AI-Driven Google Earth Engine Analysis; and (3) Identifying Potential Wetland …
Scavenging As An Accelerant In The Postmortem Interval Estimate: Refining Quantitative Regressions For Decomposition Analyses In Southeast Nebraska, Jenna L. Alexander
Scavenging As An Accelerant In The Postmortem Interval Estimate: Refining Quantitative Regressions For Decomposition Analyses In Southeast Nebraska, Jenna L. Alexander
Department of Anthropology: Theses and Student Research
In forensic anthropology, the postmortem interval (PMI) is an estimation of the time elapsed from the moment of death to the point of discovery or examination. Contemporary approaches for estimating PMI have sought to refine broad quantitative regressions by addressing variance among intrinsic and extrinsic influences of decomposition at a regional level. Southeast Nebraska and the broader Great Plains region encompass one of the most influential agricultural ecosystems, featuring a unique climate type and a diverse spectrum of vertebrate scavengers. While there has been minimal research addressing how the biogeoclimatic conditions of Nebraska affect predicted estimates for PMI using known …
Understanding And Intervening In Children's Tick Risk Perceptions And Protective Behaviors: A Grounded Theory, Ariel Dawdy
Understanding And Intervening In Children's Tick Risk Perceptions And Protective Behaviors: A Grounded Theory, Ariel Dawdy
Department of Entomology: Dissertations, Theses, and Student Research
Children, ages 8 years and younger, are at a particularly high risk of contracting a tick-borne disease. This is partially due to the misconceptions spread about tick protective behavior and a poor understanding of how antibiotic treatment can help. Because most communities and families believe that tick control is the individual’s responsibility, looking at the interaction between ticks and human children is essential to understanding the individual’s motivations to protect themselves. To help alleviate the number of individuals contracting tick-borne diseases, misconceptions must be addressed, intervention programs implemented, and a behavioral change must occur. This study used a qualitative research …
Morality, Outgroups, And Politics, John Jostes
Morality, Outgroups, And Politics, John Jostes
Department of Political Science: Dissertations, Theses, and Student Research
Moral differences between Democrats and Republicans contribute to affective polarization, or how negatively each side feels toward one another. Partisans are also generally aware of and sensitive to which social groups comprise the other political party. The present study examines if changes to the United States population, and thus levels of support for the two parties, will influence affective polarization. To do so, participants were randomly assigned to one of two treatment conditions in which they read about demographic changes reported in the 2020 U.S. Census, or a control condition. I find that the treatment conditions did not have a …
“Kematz'ib' Para Gritar” Innovative Technologies In Revitalizing The Mayan Languages: Empowering Youth Through Poetry - A Narrative Study, Héctor De Jesús Palala Martínez
“Kematz'ib' Para Gritar” Innovative Technologies In Revitalizing The Mayan Languages: Empowering Youth Through Poetry - A Narrative Study, Héctor De Jesús Palala Martínez
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This dissertation explores innovative approaches to preserving and revitalizing the linguistic and cultural heritage of Mayan-speaking youth of Guatemalan descent in rural Nebraska. It delves into the intersection of technology, artistic expression, and cultural practices, emphasizing the revitalization of Mayan languages in Abya Yala (the Americas), particularly emphasizing the Guatemalan and the Mayan diasporas in Nebraska.
The research investigates the roles of digital humanities, culture-based education, and poetic expressions in language preservation/revitalization efforts among Mayan youth and unaccompanied minors in transnational educational settings. Central to the study is an academic initiative for transnational Mayan high school students integrating poetry and …
Channel Estimation In Millimeter Wave Mimo Systems: The Tensor-Based Methods, Fei He
Channel Estimation In Millimeter Wave Mimo Systems: The Tensor-Based Methods, Fei He
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This dissertation presents two novel tensor-based methods for solving channel estimation (CE) problems in Millimeter Wave (mmWave) multiple-input multiple-output (MIMO) wireless communication systems. First, we proposed a method of tensor rank regularization with bias compensation for CE in a hybrid mmWave MIMO system. We modified the CANDECOMP/PARAFAC(CP) decomposition-based method and jointly estimated the tensor rank and channel factor matrices. It differs from most existing works by assuming that the number of channel paths is unknown, yet it can accurately estimate channel parameters without prior knowledge of the number of multipath components. The tensor rank is estimated by a novel sparsity-promoting …
Analysis Of Impulsive Differential Equation Models Of Cell Populations Undergoing Radiation Therapy, Abigail D'Ovidio Long
Analysis Of Impulsive Differential Equation Models Of Cell Populations Undergoing Radiation Therapy, Abigail D'Ovidio Long
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Radiation therapy is a mode of treatment which is implemented for approximately 50% of cancer patients. Treatment needs to be able to kill cancer cells, but also do minimal damage to surrounding healthy tissue. We propose two main impulsive differential equation models of radiation therapy to capture the periodic nature of the treatment. These models build off of previous studies using clinical data to ensure biological relevance. The first model incorporates only cancer cell populations, and we provide parameter relationships which theoretically ensure treatment outcomes of cancer eradication, cancer approaching a carrying capacity, and cancer approaching a periodic solution. We …
Chronic Absenteeism: The Journey Toward Improved Attendance And Achievement In A Rural Elementary School, Charla S. Brant
Chronic Absenteeism: The Journey Toward Improved Attendance And Achievement In A Rural Elementary School, Charla S. Brant
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This study examined a school’s improvement efforts to reduce chronic absenteeism in a rural, high-poverty elementary school. Through improvement science, it analyzed the effects of attendance interventions on attendance improvement. It is well known that students who do not regularly attend school will also struggle with adequate progress and growth in multiple subject areas. This study aimed to use Multi- Tiered Systems of Support (MTSS) to conduct specific attendance-based interventions and then evaluate their effectiveness in one rural high-poverty elementary school. It also analyzed the effect of attendance on literacy achievement measured by Acadience data. How can an elementary school …
Taking A Closer Look At Tpack: Examining Teacher Perspectives Of The Knowledge, Competencies, And Context Needed For Improved Remote Education In Grades 4-8, Jennifer Christine Buth Bell
Taking A Closer Look At Tpack: Examining Teacher Perspectives Of The Knowledge, Competencies, And Context Needed For Improved Remote Education In Grades 4-8, Jennifer Christine Buth Bell
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Though wrought with challenges, the COVID-19 Pandemic, which led to the closure of schools worldwide and forced educators into a rapid transition from traditional to Emergency Remote Teaching (ERT), held some promise for furthering the integration of digital technology in schools. But now, years following the crisis, policymakers, administrators, and teachers continue to grapple with how best to incorporate lessons learned and improve the future of teaching and learning in both traditional and remote settings. This mixed-methods study (n = 21; n = 6) followed an explanatory sequential design to collect and analyze data from a sample of 4th-8th …
Local Rural Knowledge And Early Childhood Informal Science Education In Rural Nebraska, Sarah Michelle Paulos
Local Rural Knowledge And Early Childhood Informal Science Education In Rural Nebraska, Sarah Michelle Paulos
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This study aims to discover the existing experiences that lead to local rural knowledge (LRK) of specific rural Northeast Nebraska communities. This information will assist in understanding the impact that LRK has on young children’s science knowledge in rural communities. By engaging in hands-on experiences and interactions, science learning goals for children may be achieved and developed through science outreach programs. During Phase 1 of this study, adults in the selected rural communities participated in an online survey indicating their knowledge of various common rural phrases with the option to share personal stories of experiences and family history. This information …
A Search For Self Through Allyship And Advocacy ‘About, With, And As’ Multilingual Learners: An Autoethnographic Study, Molly Heeren
A Search For Self Through Allyship And Advocacy ‘About, With, And As’ Multilingual Learners: An Autoethnographic Study, Molly Heeren
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This autoethnographic study uses personal memoirs to explore the author’s allyship and advocacy efforts throughout the past 24 years in the language teaching profession. Through the process of self-reflexivity and introspection, “turning points” are investigated to understand more about what influences the actions and behaviors of allyship or advocacy ‘about, with, and as’ multilingual learners. As a district level instructional coach and teacher of multilingual learners in both elementary and adult settings, the author’s revelations in teaching identity, influences of Empire, misalignment of the ‘sense of language,’ and legitimate peripheral participation in communities of practice become salient issues. The dynamics …
Characterization Of The Final Enzyme In The Coenzyme M Biosynthesis Pathway In Methanosarcina, Connor John Hines
Characterization Of The Final Enzyme In The Coenzyme M Biosynthesis Pathway In Methanosarcina, Connor John Hines
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Methanogenesis is known to be one of the oldest forms of energy generation on our planet. Methanogens rely on this method of energy conservation and have evolved to metabolize a variety of substrates, including the waste products of other organisms. This feature has made methanogens beneficial to both wastewater treatment and landfill-to-energy projects. Methane itself is a greenhouse gas twenty times more potent than carbon dioxide, viewed as a particularly influential contributor to global greenhouse emissions. Climate change was known to be on the horizon throughout the 20th century but has made itself known vocally during this 21st …
When Language Policy And Planning Is A Missed Opportunity: Lessons Learned From A Proposed But Not Implemented Dual Language Bilingual Education Program, Jessica Mitchell-Mccollough
When Language Policy And Planning Is A Missed Opportunity: Lessons Learned From A Proposed But Not Implemented Dual Language Bilingual Education Program, Jessica Mitchell-Mccollough
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
When populations undergo demographic shift, as in Nebraska in recent decades, educational practices can establish or reinforce hegemonic practices through denial or legitimization of language, culture, and identity, or they can be counterhegemonic. The demographic changes in Nebraska have been defined by a growth in Latinx populations (Morales, et al., in press). As a result, there have been various efforts to explore dynamic shifts in educational programs offered to support students’ unique language acquisition needs, including growth in dual language bilingual education (DLBE). However, not all communities have responded uniformly. During a recent strategic planning process Lincoln Public Schools (LPS) …
The Impact Of Tier 1 Pbis Implementation Fidelity On Education Outcomes For Students With Attention-Deficit/Hyperactivity Disorder, Rebecca Anne (Wright) Overfield
The Impact Of Tier 1 Pbis Implementation Fidelity On Education Outcomes For Students With Attention-Deficit/Hyperactivity Disorder, Rebecca Anne (Wright) Overfield
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This dissertation study aimed to examine the relationship between Tier 1 Positive Behavioral Intervention and Supports (PBIS) implementation fidelity and the academic (e.g., MAP Growth scores) and behavioral outcomes (e.g., major office discipline referrals, suspensions). High quality PBIS implementation fidelity has been linked with improved standardized test scores and decreased instances of major office discipline referrals, in-school suspensions, and out-of-school suspensions for students with and without behavioral difficulties. However, no research has been done on the impact of PBIS implementation fidelity on students with ADHD. It is estimated that at least 40% of students with ADHD require at least one …
Spatial Ecology Of American Bison On Vermejo Park Ranch, New Mexico, Kate Ann Asmus
Spatial Ecology Of American Bison On Vermejo Park Ranch, New Mexico, Kate Ann Asmus
School of Natural Resources: Dissertations, Theses, and Student Research
American bison (Bison bison) are a keystone species that impact grassland productivity, plant diversity, and landscape heterogeneity. We used GPS telemetry and a replicate herbivore grazing experiment on Vermejo Park Ranch in northeastern New Mexico to advance understanding of bison spatial ecology and grazing dynamics. First, we evaluated the potentially disparate influences of forage productivity and site fidelity on the size and selection of home ranges of bison. Home range size was strongly negatively influenced by forage productivity. However, home range selection was influenced more strongly by site fidelity than spatial variation in forage, as bison selected home …
Investigation Of Conductive Die-Top Thermal Capacitors During Short Circuit Operation Of Silicon Carbide Devices, Youssef Abotaleb
Investigation Of Conductive Die-Top Thermal Capacitors During Short Circuit Operation Of Silicon Carbide Devices, Youssef Abotaleb
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Silicon carbide (SiC) power devices have garnered significant attention in recent years due to their superior thermal and electrical properties compared to traditional silicon devices. However, SiC power devices suffer from severe reliability issues arising from their mechanical properties. This is because the Young's modulus of SiC is about three times larger than that of silicon, which correspondingly raises the mechanical stresses acting on the bonding structure, often leading to device failure under power shock events.
Traditional packaging materials and designs tend to constrain SiC performance, as hot-spot temperature resulting from a power shock is one of the key factors …
Not All Samples Are Created Equal: Task-Aware Informative Sampling And Adaptive Inference For Efficient Edge Ai, Rebati Gaire
Not All Samples Are Created Equal: Task-Aware Informative Sampling And Adaptive Inference For Efficient Edge Ai, Rebati Gaire
School of Computing: Dissertations, Theses, and Student Research
The rapid proliferation of Internet of Things (IoT) devices has resulted in an unprecedented influx of data generated at the edge by billions of sensors. Traditional approaches relying on cloud-based processing are increasingly inadequate due to constraints in bandwidth, latency, and privacy. Edge computing has emerged as a transformative paradigm, enabling real-time data processing and decision-making by decentralizing computation to the edge. While the integration of deep learning into edge environments—termed edge intelligence—promises autonomous and personalized operations, it is hindered by challenges such as limited computational resources, energy constraints, and data redundancies.
This thesis addresses these challenges by presenting three …
Prevalence Of Autism Spectrum Characteristics In Students Taking Undergraduate Computing Courses, Rachel Michaela Mettenbrink
Prevalence Of Autism Spectrum Characteristics In Students Taking Undergraduate Computing Courses, Rachel Michaela Mettenbrink
School of Computing: Dissertations, Theses, and Student Research
The incidence rate of autism spectrum condition (ASC) has increased significantly in recent decades, as awareness of the condition and its impacts increases amongst clinicians, parents, and the general population. Medical literature has proposed that there may be a relationship between ASC and participation in the computing field. This study tests for the prevalence of autism spectrum condition traits measured by delivering the Autism Spectrum Quotient (AQ) to a population of undergraduate computer science students. We examine the relationships between AQ scores and students taking undergraduate computer science classes, sex, socioeconomic status, and parents in the computing industry. Additionally, we …
Assessing Reproducibility Challenges In Clinical Metabolics, Darcy Lin Cochran
Assessing Reproducibility Challenges In Clinical Metabolics, Darcy Lin Cochran
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Current metabolomics research is expanding to be multiplatform and interdisciplinary. Metabolomic analysis has the potential to provide detailed insight into any biological system of interest to analyze the underlying molecular mechanisms of variables like environment, disease, and genetics. Human clinical metabolomics is a major research area that is often focused on finding biomarkers or panels of biomarkers for different diseases. However, results are difficult to compare across different laboratories since the field of metabolomics has yet to widely adopt best practices for sample preparation, data acquisition and data processing, results are difficult to compare across different laboratories.
This thesis focuses …
Examining The Use Of Problem Transformation Methods In Multi-Target Regression, Bradley Ryan Smith
Examining The Use Of Problem Transformation Methods In Multi-Target Regression, Bradley Ryan Smith
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Although the impact of machine learning methods in the educational sciences has been limited, recent opportunities have emerged that can benefit from these flexible methods capable of predicting both linear and non-linear relationships. One emerging area of interest, multi-target regression (MTR), is concerned with the simultaneous prediction of multiple, continuous target variables and is an extension of traditional supervised learning. Problem transformation methods are a subset of MTR methods that seek to exploit the dependencies amongst targets using stacking, chaining, ensembles, or combinations of the three by expanding the Single-Target approach. This is accomplished by using one or more base-learners, …
"Maybe Something More Insidious": A Critical Interpretative Phenomenological Analysis Of Authentic Leadership In Student Affairs Leaders With Intersecting Minoritized Identities, Kara Brant
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This critical interpretative phenomenological analysis explored the experiences of four female-identified mid-level student affairs leaders with intersecting minoritized identities, highlighting the aspirational nature of authentic leadership theory. The study examined their experiences with relational transparency, or attempting to lead while presenting their authentic self without distortion and minimizing the display of inappropriate emotions. The findings indicated participants face complex dynamics when navigating daily interactions in student affairs work, often resulting in the performance of emotional labor. The exploration of their experiences outlines a case for why scholars must look to advancing a new, more inclusive definition of authentic leadership theory. …
Deep Learning Vision-Based Bridge Inspection With Resource-Constrained Unmanned Aircraft Systems, Ji Young Lee
Deep Learning Vision-Based Bridge Inspection With Resource-Constrained Unmanned Aircraft Systems, Ji Young Lee
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Bridge inspection is critical for ensuring structural integrity, extending the service life of infrastructure, and minimizing maintenance costs. As bridges age and endure increasing loads, regular inspections help detect early signs of wear, such as cracks or corrosion, that could impact safety and performance. However, traditional inspection methods are labor-intensive, requiring significant time, specialized equipment, and manual access to challenging areas, which can lead to costly disruptions. Additionally, reliance on human inspectors introduces subjectivity, with assessments varying by individual expertise. These factors highlight the inefficiencies and safety risks in current inspection practices, underscoring the need for more objective, efficient solutions. …
Take-Two Interactive Software, Inc Strategic Audit, Carter Herchenbach
Take-Two Interactive Software, Inc Strategic Audit, Carter Herchenbach
Honors Program: Senior Projects (Public)
Abstract:
This case study focuses on Take-Two Interactive, Inc (TTWO). Take-Two is a video game developer and publisher most well known for their 2K Sports and Grand Theft Auto video games. By focusing on issues critical to strategic management, this paper provides a detailed analysis of Take-Two Interactive and its subsidiaries. To accomplish this, the paper uses different analysis to examine how, where, and what actions Take-Two uses to compete in the video game industry. The analysis implemented to accomplish this includes a PESTEL analysis, Porter’s Five Forces analysis, and an analysis of Take-Two’s senior leadership team and corporate strategy. …
Volunteering For Medically Underserved Children: Clinic With A Heart–Back-To-School Clinics, Isabella Marie Kerby Kessinger
Volunteering For Medically Underserved Children: Clinic With A Heart–Back-To-School Clinics, Isabella Marie Kerby Kessinger
Honors Program: Senior Projects (Public)
Medically underserved children, often from low-income families or areas with limited healthcare resources, face significant barriers in accessing essential medical services and represent a fundamental challenge to equity and social justice. School physicals and back-to-school clinics play a crucial role in addressing these healthcare needs, serving as a gateway to educational and extracurricular opportunities.
Clinic With a Heart (CWH), a non-profit medical and dental clinic in Lincoln, Nebraska, serves as a model for addressing healthcare disparities. In 2023, CWH provided 3,109 visits to 1,846 unique patients, with 83% lacking health insurance and 63% having household incomes below $16,000 annually. The …
Examining Factors Of Variance In Energy Metabolism Of Dairy Cattle, Addison Lee Carroll
Examining Factors Of Variance In Energy Metabolism Of Dairy Cattle, Addison Lee Carroll
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Variation is thought to occur in the use of dietary energy for production in dairy cattle. First, variance can be observed when new methane mitigation strategies are fed resulting in increased H2 output potentially resulting in downstream effects on estimates heat production via the Brouwer (1965) equation. Therefore, in chapter 3 a review was created to systematically describe the mathematics and theory behind the Brouwer equation, and rederive a heat production equation to integrate H2 production. Results indicate heat production using the classical Brouwer equation (1965) relative to the rederived equation resulted in an overestimation of heat production …
Domain-Specific Machine Learning Approaches For Geospatial Problems, Shine Bedi
Domain-Specific Machine Learning Approaches For Geospatial Problems, Shine Bedi
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This dissertation explores novel algorithms for complex geospatial problems at the intersection of environmental, social, and computational sciences. Emphasizing the unique challenges of the geospatial domain, particularly the deviation from the independent and identical distribution (IID) assumption, the research spans various methodologies across different domains, demonstrating the benefits of specialized approaches in spatial analysis.
First, we show that machine learning techniques can be effectively used in environmental modeling, which often has severe class imbalance challenges. Using artificial neural networks (ANN), support vector machines (SVM), and extreme gradient boosting (XGB) and techniques to address class imbalance provides insights into groundwater quality …
Mining Work Items To Streamline Software Maintenance Tasks, Salomé Perez-Rosero
Mining Work Items To Streamline Software Maintenance Tasks, Salomé Perez-Rosero
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Software engineering maintenance tasks often require associating code changes into groupings of related units of work to have as much information as possible about the developments toward addressing a specific code task. A comprehensive understanding of how a code task has evolved helps developers make better decisions about changes in the overall codebase, where a commit represents the set of code changes made to the codebase at a specific time. While the concept of work items as logically related code changes has been primarily theoretical, its impact on software maintenance tasks, such as tracing the origins of bugs or fixes …
Leaders’ Experiences Of An Organizational Journey To Inclusive Leadership, John Allan Slieter
Leaders’ Experiences Of An Organizational Journey To Inclusive Leadership, John Allan Slieter
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
The purpose of this qualitative phenomenological study was to explore the lived experiences of fourteen leaders of a large community healthcare organization while they undertook adoption of an initiative intended to create a more inclusive culture in their organization. Utilizing a Transcendental Phenomenological approach to data collection and analysis, data generation occurred through semi- structured interviews. Analysis of data provided descriptions of the sense making that explains how these leaders experienced the phenomenon contextually. Four themes emerged from this study, (a) Our mission is to serve, (b) Who is at the table? (c) Securing our future, and (d) …
Motivated By Hope: Why We Strive For The Improbable, Varkey K. Titus Jr.
Motivated By Hope: Why We Strive For The Improbable, Varkey K. Titus Jr.
Department of Philosophy: Dissertations, Theses, and Student Research
Some of the most rewarding actions we take in life are difficult. The outcomes of these actions are surrounded by uncertainty, and what relevant data is available indicates a high probability of failure. Current philosophical work proposes that hope can resolve the puzzle of how people can rationally choose to engage in difficult actions, but this work constrains hope’s motivational role to actions whose successful outcomes reside within the realm of an individual’s own agency. I expand the explanatory role of hope motivating action to include cases whose outcomes depend on some combination of factors internal and external to the …