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Prognostics and Maintenance Decision-making for Mechanical Systems based on Condition Monitoring Data
DownloadSpring 2024
Condition-based maintenance (CBM) is a maintenance approach that uses condition monitoring data to make maintenance decisions. The goal of CBM is to avoid machine shutdowns, reduce maintenance costs, and improve system safety. In modern mechanical systems, a wide range of sensors are used to...
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Deciphering the Biological Basis of Acute Myeloid Leukemia Relapse Using a Novel In-Vitro Study Model
DownloadSpring 2024
Acute myeloid leukemia (AML) is an aggressive hematologic malignancy associated with a poor clinical outcome that is largely attributed to disease relapses. Treatment options for relapsed AML patients are limited; after relapse, the median survival is only ~6 months. The biology underlying...
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Clinical and Translational Studies Advancing Clinical Implementation of Stem Cell-Derived Islet Transplantation
DownloadSpring 2024
Twenty-years ago Shapiro et al. revolutionized islet transplantation (ITx), realizing the potential for a cell-based diabetes treatment. Despite improvements, ITx remains restricted by organ donor limitations and immunosuppression. Stem cell (SC)-derived ITx (SC Tx) could eliminate these...
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Open-Source Radiation Testing Apparatus and Electrical Power Supply Design for CubeSat Missions
DownloadSpring 2024
The continuing miniaturization of computing technology and the increasing popularity of CubeSats among a growing market of modest-budget developers have revolutionized the space industry by enabling cost-effective access to space. However, ensuring reliability remains a paramount concern. This...
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Response Time as a Predictor of Test Performance: Assessing the Value of Examinees' Response Time Profiles
DownloadSpring 2024
Response time data has gained extensive attention in recent years, thanks to the increasing use of computer-based assessments. Previous studies examined the relationship between response time and test performance, yielding inconsistent findings such as positive, negative, and no relationship. To...
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Spring 2024
In reinforcement learning, agents solve problems through interactions with the environment. However, when faced with intricate environmental dynamics, learning can become challenging, resulting in sub-optimal policies. A potential remedy to this situation lies in the transfer of knowledge from...
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Spring 2024
Trajectory data analysis refers to the systematic exploration of spatial and temporal movement patterns in trajectory datasets. Missing trajectory points pose a challenge as they affect downstream tasks that rely on these datasets, such as public transportation management, wildlife monitoring,...
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Towards Practical Offline Reinforcement Learning: Sample Efficient Policy Selection and Evaluation
DownloadSpring 2024
Offline reinforcement learning (RL) involves learning policies from datasets, rather than online interaction. The dissertation first investigates a critical component in offline RL: offline policy selection (OPS). Given that most offline RL algorithms require careful hyperparameter tuning, we...
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A Hybrid Analytical and Machine Learning Workflow for Completion Design Optimization in Unconventional Reservoirs
DownloadSpring 2024
Hydraulic fracturing combined with horizontal drilling is the key to unlocking tight reservoirs. However, understanding the relationship between reservoir characteristics, completion design and well productivity remains challenging. In the past decade, over 40,000 multi-fractured horizontal wells...
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Leadership and identity disruption: The role of social identity discontinuity in producing self-uncertainty
DownloadSpring 2024
A leader's rhetoric can have profound impacts on the groups that they lead. Leaders use their words to evoke uncertainty, define group boundaries, and articulate their vision to the group. Leaders’ can use rhetoric that constructs the group as facing or undergoing a rupture (i.e., social...