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Mountain Scholar

Mountain Scholar is an open access repository service that collects, preserves, and provides access to digitized library collections and other scholarly and creative works from Colorado State University and the University Press of Colorado. It also serves as a dark archive for the Open Textbook Library.

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  • Explore the Colorado State University community’s scholarly output as well as items from the University at large and the CSU Libraries.
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Dépôts récents

  • Type d'Item :Item, Statut d'accès: Accès libre ,
    Fetal liver-derived CD34+, KDR+ hematopoietic stem cells: gene transduction with an HIV-based lentiviral vector
    (2001) Nasuti, Jacki M., author; Pearson, Leonard D., advisor; Akkina, Ramesh, advisor; Chang, Jeffery, committee member
    Gene therapy is a potentially attractive option for treatment of HIV infection as well as for many hematopoietic disorders. To realize this goal, it is critical that hematopoietic stem cells with the highest self-renewal capacity and long-term engraftment capabilities be utilized as cell targets for therapeutic gene transfer. Previous studies have sought to identify the most primitive hematopoietic cells from sources such as umbilical cord blood (UCB), bone marrow (BM), peripheral blood (PB), and mobilized peripheral blood (MPB). As the fetal liver is the major site of hematopoiesis during embryogenesis, it is likely that a significant number of primitive hematopoietic cells exist in this site. Present studies have sought to identify primitive KOR-expressing CD34 stem cells in human fetal liver using direct mAb staining and to isolate these cells by FACS. Results have shown that approximately 1% of CD34+ cells isolated from 16-23 gestational-week old human fetal livers were positive for the KDR marker. This represents a significantly higher proportion compared to the level of 0.1-0.5% CD34, KDR double positive cells that has been found in other sources (UCB, PB, MPB, BM). It was previously shown that stem cells retain long-term hematopoiesis when cultured in the presence of mesenchymal stem cell (MSC) stromal cell layers. Accordingly, the fetal liver derived CD34+/KDR+ stem cells were cultured in the presence of MSC. This has allowed maintenance of a very small numbers ofCD34+/KDR+ cells (1000 cells) in culture and subsequently expand them to 100-fold. These findings provide a means of maintaining low numbers ofCD34+/KDR+ cells and expanding them to a working population for future experimentation. In vitro maintained CD34+/KDR+ cells were subjected to gene transduction with an HIV-1 based lentiviral vector. Although MSC did not serve to significantly increase transduction efficiencies of CD34+/KDR- progenitors, the progenitors cultured in the presence of MSC were relatively more refractory to the apparent toxicity effects of high-titer lentiviral vector exposure. In comparative studies, it was found that the transducibility of CD34+/KDR+ primitive hematopoietic cells is equivalent to that of CD34+/KDR- progenitors (approximately 86% EGFP expression as analyzed by FACS). Results presented here demonstrate the existence of CD34+, KDR+ cells in fetal liver at significantly higher levels than other sources. These cells could possibly serve as key cell targets for achieving sustained gene transduction with lentiviral vectors for current AIDS gene therapy strategies.
  • Type d'Item :Item, Statut d'accès: Accès libre ,
    Amazonian conservation across archipelagos of Indigenous territories
    (2024-10-22) Esbach, Michael S., author; Correia, Joel E., author; Valdivia, Gabriela, author; Lu, Flora, author; Wiley Periodicals LLC, publisher
    Indigenous stewardship is essential to the conservation of biocultural diversity, yet conventional conservation models often treat Indigenous territories (ITs) as homogeneous or isolated units. We propose that archipelagos of Indigenous territories (AITs), clusters of ITs that span geographies but are connected through shared cultural or political ties maintained by Indigenous nations, are crucial for understanding and enhancing conservation strategies that recognize the complexity of Indigenous stewardship. We classified 3572 ITs in the Amazon into 4 categories—single or multiple nations with either singular IT or AIT—to assess their spatial heterogeneity, governance, and conservation potential. We then assessed species richness, carbon stocks, and pressures across these different categories. To examine how AITs can enhance biocultural conservation efforts, we conducted a case study of the Cofán Nation in Ecuador. AITs covered 45% of the Amazonian land area and had higher species richness and carbon stocks than single IT configurations. However, AITs faced greater pressures from development and extractive activities. In the case study, the Cofán AIT was shaped by colonization and land titling challenges, but their community-driven governance, cross-territorial collaboration, and adaptive responses—such as comanagement agreements and resisting extractive activities—enhanced their ecological and cultural resilience amid growing development pressures. Our findings suggest that AITs facilitate the exchange of resources, knowledge, and cultural practices, which strengthens social connectivity, reinforces governance structures, and enables adaptive management across ITs, thereby enhancing biocultural resilience across discontinuous spaces. This work advocates for a paradigm shift in conservation planning and practice that recognizes the vital role of AITs in sustaining Amazonian ecosystems and Indigenous lifeways, particularly in the face of increasing pressures.
  • Type d'Item :Item, Statut d'accès: Accès libre ,
    Haze, heat, and human bonds: a mixed methods study of attachment's influence on risk information behavior among outdoor workers facing air quality and extreme heat hazards
    (2026) Bice, Channing, author; Long, Marilee, advisor; Abrams, Katie, committee member; Anderson, Ashley, committee member; MacPhee, David, committee member; Most, David, committee member
    Outdoor workers face disproportionate exposure to compound environmental hazards on the job, yet little is known about the factors that shape how they seek and process relevant risk information. This dissertation investigates these factors by integrating attachment theory into the risk information seeking and processing (RISP) model to examine how attachment anxiety and attachment avoidance influence outdoor workers' risk information seeking behaviors related to extreme heat and poor air quality. Using an explanatory sequential mixed-methods design, the study first employed a national online survey (N = 220) of outdoor workers across the United States, followed by focus groups (N = 29) with municipal outdoor workers in Fort Collins, Colorado. Quantitative results from a series of hierarchical regressions and mediation analyses indicated that attachment orientations shaped key RISP model variables, though the strength and significance of these relationships varied by hazard. Specifically, attachment avoidance predicted reduced risk perception, negative affective response, and informational subjective norms in the extreme heat context, while attachment anxiety predicted increased negative affective response and informational subjective norms for extreme heat. Neither attachment anxiety nor attachment avoidance predicted information insufficiency, attitudes toward information seeking, or perceived information seeking control across either hazard. Core RISP model pathways were broadly supported across both hazard contexts. Qualitative findings yielded five key themes that expanded on and contextualized the quantitative results. First, workers perceived extreme heat as a more urgent and physically threatening hazard than air quality, which they often normalized or noticed only when symptoms became intolerable. Second, information seeking was shaped by peer behavior, supervisor guidance, and workplace norms; workers higher in attachment anxiety exhibited heightened sensitivity to social cues, while those higher in attachment avoidance tended to minimize risk and emphasize self-sufficiency. Third, workers expressed uncertainty about translating hazard indices, particularly the air quality index, into task-relevant decisions. Fourth, workers preferred task-specific information well in advance of hazard events to better plan protective actions into work schedules. Finally, workers expressed strong support for integrating air quality and heat information into a unified communication system to streamline workplace decision-making. Integration of the two phases confirmed that extreme heat functions as a more powerful motivational driver than poor air quality across emotional, social, and behavioral pathways, and expands our understanding of how differences in workers' motivational responses to each hazard can be put to work through integrated communication systems that use heat engagement as an entry point for air quality awareness. Overall, these findings make theoretical contributions by demonstrating that attachment orientation functions as a meaningful individual difference variable within the RISP model by influencing risk perception, affective response, and informational subjective norms, particularly for risks perceived as immediate and salient. These findings also challenge traditional distinctions between active and passive information seeking. Practically, the findings call for risk communication strategies that are emotionally and socially attuned, task-relevant, and reconsider vulnerable population message framing. Future research should continue to examine attachment effects on risk information seeking and avoidance across additional hazard contexts and among more diverse populations.
  • Type d'Item :Item, Statut d'accès: Accès libre ,
    Timing is everything: investigating users' feedback timing and content preferences to enhance computer-based training
    (2026) Pharmer, Rebecca L., author; Rhodes, Matthew G., advisor; Wickens, Christopher D., committee member; Nelson, Niccole A., committee member; Ortega, Francisco R., committee member
    Feedback is a central instructional component of computerized training systems. Research has shown that the timing and content of feedback impacts learning but less is currently known about how user preferences for the way feedback is received during training impacts its overall effectiveness. Across three experiments, this work examined whether users demonstrate a preference for the timing of feedback they receive (Experiment 1), whether honoring that preference improves their learning outcomes (Experiment 2), and whether honoring learner preferences for the content within their feedback (i.e., whether it is outcome based or explanatory) likewise impacts learning outcomes (Experiment 3). Across experiments, learners consistently preferred immediate over delayed feedback and explanatory over outcome feedback. However, aligning feedback with these preferences did not reliably improve learning outcomes and, in some cases, non-preferred conditions produced equal or better learning performance. Preference alignment more consistently influenced subjective experience, with differences in perceived mental workload, frustration, and performance despite similar objective outcomes. Overall, the results suggest that stable learner preferences do not reliably predict which feedback conditions best support learning. Instead, learning depends more on feedback design than preference matching.
  • Type d'Item :Item, Statut d'accès: Accès libre ,
    A multidisciplinary approach for deploying a wildfire UAV fleet for detection and communication
    (2026) Bokhtier, Golam M., author; Shahroudi, Kamran Eftekhari, advisor; Crawford, Setrige W., committee member; Herber, Daniel, committee member; Bradley, Thomas, committee member; Kreidenweis-Dandy, Sonia, committee member
    Wildfire constitutes a global crisis, with both frequency and severity increasing over the past several decades. In the United States, wildfires have emerged as a significant concern in the western regions, especially in California, Colorado, Hawaii, and along the West Coast of North America. Wildfires in Canada have produced smoke that has affected air quality as distant as New York in the United States. Australian wildfires have had severe impacts, affecting billions of animals, including koalas, kangaroos, and wallabies, in recent years. Wildfires inflict severe local damage on land and communities and present global challenges to interconnected natural ecosystems. These effects spread to natural resources and wildlife worldwide. As these threats progressively increase, early detection and communication become key in minimizing the adverse impact on wildlife, humans, and the environment. Numerous strategies are being evaluated for detecting and communicating about wildfires, but one of the most effective emerging tools is turning out to be unmanned aerial vehicles (UAVs). Not all UAVs are suited for the purpose of wildfire detection and communication, as most UAVs are designed for universal activities like security, agriculture, infrastructure monitoring and communication networks. Traditional general-purpose UAVs are not able to detect wildfire early because their deployment strategies, wildfire susceptibility assessment strategies, and UAV aerodynamics are not optimized for that specific purpose. During the evaluation of UAVs for the purpose of wildfire detection and communication, surveillance capability is the most significant factor if the goal is to develop an effective and cost-efficient solution. To consider an entire fleet of UAVs for wildfire detection and communication, we can determine surveillance capability only by understanding the overall system in a holistic way. We accomplish this understanding by deploying a comprehensive systemic approach with model‐based systems thinking (MBST) to address this real-world complex problem. We also use both systemic and numerical techniques to come up with novel systems methods of addressing the specific challenges of wildfire. The research results show that the most efficient possible detection of wildfires compared to any state-of-the-art available strategies occurs using UAVs designed specifically for wildfire detection, with integrated UAV flight paths and a comprehensive deployment method. Outcomes for this research study demonstrate that existing generic UAV design elements, such as flight controls, airfoil aerodynamics, sensor packages, and communication schemes, are not optimized for wildfire. The systemic methods documented in this dissertation to address the problems of detecting and detecting wildfires enabled by the optimal deployment strategies (ODS) and wildfire point-optimization strategies (WPO). This mission-oriented fleet deployment is also coupled with the most effective airfoil design, specifically developed to detect wildfires.