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Filtering by: Creator Reynolds, Richard W. Remove constraint Creator: Reynolds, Richard W. Degree Level Doctoral Remove constraint Degree Level: Doctoral License Attribution 4.0 (CC BY 4.0) Remove constraint License: Attribution 4.0 (CC BY 4.0)

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Inferring Patterns and Processes of Emergence in Clonal Phytophthora Epidemics using Population Genomic Approaches

Creator:

Cauldron, Nicholas C.

Abstract:

Oomycete and fungal pathogens threaten food, fiber, and forests around the world. With climate change, these pathogens are expected to emerge more frequently. Evolution can facilitate their emergence through mechanisms such as mutations that change or expand host range. Characterizing evolutionary mechanisms in plant pathogens will contribute to our ability...

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Dissertation

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, study design, manuscript drafting, and manuscript revision of Chapters 3 and 4. Mr. Paul W. Reeser
Development of Computational, Visualization, and Molecular Tools for Fungal and Oomycete Community Ecology

Creator:

Foster, Zachary Stephen Longiaru

Abstract:

Oomycetes are an important group of organisms with a variety of ecological roles similar to fungi. Although many are well-studied plant pathogens known for their devastating effects on agricultural systems, most are little-studied saprobes and parasites of plants and animals in nearly every ecosystem on earth. The advent of affordable...

Resource Type:

Dissertation
Adaptive Learning Module for Introduction to Materials Science

Creator:

Nigon, Nutnicha

Abstract:

There is a growing need for individualized instructional designs in 4-year institutions due to: 1) growing undergraduate enrollment trends across the U.S., 2) broader diversity in students backgrounds, and 3) the growing prevalence of asynchronous remote learning. With the growth in computer technology in education, tools such as adaptive intelligent...

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Dissertation

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thanks to the CALM Research Team including Thomas W. Ekstedt, Dana C. Simionescu, Brandon C. Jeong
On Avoiding Power-Seeking by Artificial Intelligence

Creator:

Turner, Alexander M.

Abstract:

We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...

Resource Type:

Dissertation

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Academic Affiliation

Botany and Plant Pathology2
Electrical Engineering and Computer Science1
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Grunwald, Niklaus J.1
Grunwald, Niklaus, J.1
Koretsky, Milo D.1
Prasad, Tadepalli1
Tucker, Julie D.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2021 to 2024

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Committee Member

Spatafora, Joseph W.2
Brown, Shane A.1
Cann, David P.1
Chang, Jeff H.1
Emerson, Sarah C.1
more Committee Members »

Creator

Cauldron, Nicholas C.1
Foster, Zachary Stephen Longiaru1
Nigon, Nutnicha1
Turner, Alexander M.1

Contributor

Albornoz, Felipe E.1
Chamberlain, Scott1
Fieland, Valerie J.1
Grunwald, Niklaus J.1
Jones, Andrew F.1
more Contributors »

Date

Date range begin – Date range end

Current results range from 2020 to 2023

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Decade

2020-20294

Degree Field

Botany and Plant Pathology1
Computer Science1
Materials Science1
Molecular and Cellular Biology1

Degree Level

Doctoral[remove]4

Degree Name

Doctor of Philosophy (Ph.D.)4

Language

English [eng]4

License

Attribution 4.0 (CC BY 4.0)[remove]4

Peer Reviewed

No4

Resource Type

Dissertation4

Rights Statement

In Copyright4

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