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Skip to Search Results- 2Parker, Christopher A. C.
- 1Akturk, Sait
- 1Al Onazi, Mona Moraybed
- 1Alvarado, Laura
- 1Armstrong, Kieran
- 1Austin, James A.
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Are Sex and Estrogen Modulators of Sympathetic Vascular Control in Resting and Contracting Skeletal Muscle?
DownloadSpring 2018
The purpose of this thesis was to investigate whether sex and estrogen modulate sympathetic neurovascular control in resting and contracting skeletal muscle. This thesis also investigated the hypothesis that the effects of sex and estrogen on neurovascular control would be mediated by the signal...
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Back2Future-SIM: Creating Real-Time Interactable Immersive Virtual World For Robot Teleoperation
DownloadSpring 2024
In the context of human-robot interaction (HRI), robot autonomy addresses how environmental input influences a robot’s actions, spanning a spectrum from full human control to independent robot motion. The quality of HRI relies on information exchange, evaluated through factors like interaction...
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Spring 2020
In general, there are two types of pipe renewal methods, replacement and rehabilitation. Replacement methods is where pipes are replaced with new ones using original open-cut methods, or trenchless technologies such as pipe bursting and auger boring; while rehabilitation methods repair pipes by...
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Spring 2018
Introduction: Asthma is a chronic inflammatory disease characterized by intermittent episodes of acute airway inflammation and bronchoconstriction. Although asthma is generally considered a disease of the airways, asthma is also associated with an increased risk of developing cardiovascular (CV)...
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Collective decision-making in decentralized multiple-robot systems: a biologically inspired approach to making up all of your minds
DownloadFall 2009
Decision-making is an important operation for any autonomous system. Robots in particular must observe their environment and compute appropriate responses. For solitary robots and centralized multiple-robot systems, decision-making is a relatively straightforward operation, since only a single...
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Decision Frequency Adaptation in Reinforcement Learning Using Continuous Options with Open-Loop Policies
DownloadFall 2023
In classic reinforcement learning(RL) for continuous control, agents make decisions at discrete and fixed time intervals. The duration between decisions becomes a crucial hyperparameter. Setting it too short may increase the problem’s difficulty by requiring the agent to make numerous decisions...
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Decongestive Progressive Resistance Exercise with Advanced Compression for Breast Cancer Related Lymphedema Management (DREAM): A Pilot Randomized Control Trial
DownloadFall 2018
Introduction: More than one in five women who survive breast cancer will eventually develop lymphedema. Recent studies in breast cancer lymphedema management have demonstrated that resistance exercise can improve the survivors’ quality of life without exacerbating their lymphedema. However,...
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Fall 2018
The adoption of powered myoelectric prostheses and their ability to improve quality of life for persons with amputations is hindered by the difficulty of controlling multiple degrees of freedom with a limited number of input signals. Different myoelectric control strategies have been developed to...
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Fall 2015
Understanding how an artificial agent may represent, acquire, update, and use large amounts of knowledge has long been an important research challenge in artificial intelligence. The quantity of knowledge, or knowing a lot, may be nicely thought of as making and updat- ing many predictions about...