Index Catalog // ScholarsArchive@OSU

MoultonHongVeterinaryMedicineContextDependentEffects.pdf

Creator:: Yin, HaiFang, Boisguerin, Prisca, Moulton, Hong M., Betts, Corinne, Seow, Yiqi, Boutilier, Jordan, Wang, Qingsong, Walsh, Anthony, Lebleu, Bernard, and Wood, Matthew J. A.
Abstract:: We have recently reported that cell-penetrating peptides (CPPs) and novel chimeric peptides containing CPP (referred as B peptide) and muscle-targeting peptide (referred as MSP) motifs significantly improve the systemic exon-skipping activity of morpholino phosphorodiamidate oligomers (PMOs) in dystrophin-deficient mdx mice. In the present study, the general mechanistic significance of the...
Full Text:: Exon-skipping Efficiency Yin, H., Boisguerin, P., Moulton, H. M., Betts, C., Seow, Y., Boutilier, J

MoultonHongVeterinaryMedicineContextDependentEffects_FigureS1.pdf

Creator:: Yin, HaiFang, Boisguerin, Prisca, Moulton, Hong M., Betts, Corinne, Seow, Yiqi, Boutilier, Jordan, Wang, Qingsong, Walsh, Anthony, Lebleu, Bernard, and Wood, Matthew J. A.
Abstract:: We have recently reported that cell-penetrating peptides (CPPs) and novel chimeric peptides containing CPP (referred as B peptide) and muscle-targeting peptide (referred as MSP) motifs significantly improve the systemic exon-skipping activity of morpholino phosphorodiamidate oligomers (PMOs) in dystrophin-deficient mdx mice. In the present study, the general mechanistic significance of the...

Context Dependent Effects of Chimeric Peptide Morpholino Conjugates Contribute to Dystrophin Exon-skipping Efficiency

Creator:: Yin, HaiFang, Boisguerin, Prisca, Moulton, Hong M., Betts, Corinne, Seow, Yiqi, Boutilier, Jordan, Wang, Qingsong, Walsh, Anthony, Lebleu, Bernard, and Wood, Matthew J. A.
Abstract:: We have recently reported that cell-penetrating peptides (CPPs) and novel chimeric peptides containing CPP (referred as B peptide) and muscle-targeting peptide (referred as MSP) motifs significantly improve the systemic exon-skipping activity of morpholino phosphorodiamidate oligomers (PMOs) in dystrophin-deficient mdx mice. In the present study, the general mechanistic significance of the...
Resource Type:: Article

Learning from action not taken in multiagent systems

Creator:: Khani, Newsha
Abstract:: Coordination in large multiagent systems in order to achieve a system level goal is a critical challenge. Given the agents' intention to cooperate, there is no guarantee that the agent actions will lead to good system objective especially when the system becomes large. One of the primary difficulties in such...
Resource Type:: Masters Thesis

Defining micro-habitat relationships for juvenile black rockfish, Sebastes melanops

Creator:: Mann, Marion E.
Abstract:: The functioning of marine habitats needs to be understood in the context of the ecological relationships and associations between organisms and the physical and biogenic environment they inhabit. Thus, it becomes important to explore and define habitat features which contribute to these relationships and which are important in the life...
Resource Type:: Masters Thesis

Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

Creator:: Raghavan, Aswin
Abstract:: Markov Decision Processes (MDPs) are the de-facto formalism for studying sequential decision making problems with uncertainty, ranging from classical problems such as inventory control and path planning, to more complex problems such as reservoir control under rainfall uncertainty and emergency response optimization for fire and medical emergencies. Most prior research...
Resource Type:: Dissertation

Model-based approximation methods for reinforcement learning

Creator:: Wang, Xin
Abstract:: The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...
Resource Type:: Dissertation
Full Text:: (Ng et al., 2000). Boutilier et al.described symbolic value iteration and policy iteration algorithms

Effective decision-theoretic assistance through relational hierarchical models

Creator:: Natarajan, Sriraam
Abstract:: Building intelligent computer assistants has been a long-cherished goal of AI. Many intelligent assistant systems were built and fine-tuned to specific application domains. In this work, we develop a general model of assistance that combines three powerful ideas: decision theory, hierarchical task models and probabilistic relational languages. We use the...
Resource Type:: Dissertation

Bayesian methods for knowledge transfer and policy search in reinforcement learning

Creator:: Wilson, Aaron
Abstract:: How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
Resource Type:: Dissertation

Engaging Agricultural Landowners in Fish Habitat Restoration on Private Land in the Upper Klamath Basin, Oregon: Lessons from a “Tough” Case

Creator:: Duffy, Laura
Abstract:: The conservation community has long recognized the critical role that agricultural landowners play in efforts to improve fish and wildlife habitat in order to recover threatened and endangered species. In many rural areas dominated by agricultural working landscapes, government agencies like the U.S. Fish and Wildlife Service (USFWS) struggle to...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

MoultonHongVeterinaryMedicineContextDependentEffects.pdf

MoultonHongVeterinaryMedicineContextDependentEffects_FigureS1.pdf

Context Dependent Effects of Chimeric Peptide Morpholino Conjugates Contribute to Dystrophin Exon-skipping Efficiency

Learning from action not taken in multiagent systems

Defining micro-habitat relationships for juvenile black rockfish, Sebastes melanops

Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

Model-based approximation methods for reinforcement learning

Effective decision-theoretic assistance through relational hierarchical models

Bayesian methods for knowledge transfer and policy search in reinforcement learning

Engaging Agricultural Landowners in Fish Habitat Restoration on Private Land in the Upper Klamath Basin, Oregon: Lessons from a “Tough” Case

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