Index Catalog // ScholarsArchive@OSU

Deep Learning for Human and Biological Languages

Creator:: Hong, Junki
Abstract:: We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
Resource Type:: Dissertation
Full Text:: Human and Biological Languages Abstract approved: David Hendrix and Liang Huang We explore the

Interpretable Machine Learning: Applications in Biology and Genomics

Creator:: Danaee, Padideh
Abstract:: Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
Resource Type:: Dissertation
Full Text:: Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

Knowledge Base Completion Leveraging Natural Language Data

Creator:: Shahbazi, Hamed
Abstract:: Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Resource Type:: Dissertation

Classifying Chemical Bioactivity by Coupling High-throughput Phenotypic Anchoring and Transcriptome Profiling in Zebrafish

Creator:: Haggard, Derik
Abstract:: There are more than 87,000 chemicals in current use with little to no toxicity information available. Assessing such a large number of chemicals using traditional methods would take an unreasonable amount of time and money, and require the use a large number of animals. The incorporation of high-throughput in vivo...
Resource Type:: Dissertation
Full Text:: scientist: Nancy Kerkvliet, Michael Freitag, Siva Kolluri, David Hendrix, Kim Anderson, and Anna Harding

Oregon industrial and engineering teacher's perceived professional development needs

Creator:: Moon, Dale E.
Abstract:: Professional development is a critical part of education, especially in career and technical education (CTE). CTE programs have rapidly changing technological foundations, and while the CTE teachers' primary focus is to prepare students for entry-level positions in their occupational areas, CTE teachers are also required to embed academics into their...
Resource Type:: Dissertation
Full Text:: . Dale E. Moon, Author ACKNOWLEDGEMENTS “All is by my side” – Jimi Hendrix This

Unraveling the endogenous functions of the aryl hydrocarbon receptor (AHR) and characterizing a novel long non-coding RNA (slincR) that contributes to AHR-mediated toxic responses in zebrafish

Creator:: Garcia, Gloria R.
Abstract:: The aryl hydrocarbon receptor (AHR) is a ligand activated transcription factor that is a member of the basic helix-loop-helix PER-ARNT-SIM (bHLH/PAS) protein family of cellular sensors. The AHR is conserved across multiple animal phyla and is required for proper vertebrate development. A structurally diverse group of chemicals, including polycyclic aromatic...
Resource Type:: Dissertation
Full Text:: writing the manuscript. Dr. David Hendrix named slincR, and along with Michelle Willey, analyzed the

Signatures in the Subsurface - Big & Small Data Approaches for the Spatio-Temporal Analysis of Geologic Properties & Uncertainty Reduction

Creator:: Rose, Kelly Kathleen
Abstract:: Despite more than two centuries of exploration, including more than six million deep wellbores with depths exceeding 40,000 feet in some parts of the world, our ability to constrain subsurface processes and properties remains limited. Characteristics of the subsurface vary and can be analyzed on a variety of spatial scales....
Resource Type:: Dissertation
Full Text:: ambitions and the ambitions of the team are one and the same. That's the incentive.” -Greg Brown

Comparison and analysis of small area estimation methods for improving estimates of selected forest attributes

Creator:: Goerndt, Michael E.
Abstract:: One of the most common practices regarding estimation of forest attributes is the partitioning of large forested subpopulations into smaller areas of interest to coincide with specific objectives of present and future forest management. New estimators are needed to improve estimation of selected forest attributes in small areas where the...
Resource Type:: Dissertation
Full Text:: well such as the generalized regression estimator (GREG), which are discussed in Rao (2003) and

Hispanic community college student empowerment : developmental English participants describe their educational experiences

Creator:: Lawrenson, Lisa Aguilera
Abstract:: The purpose of this study was to learn about the experiences of Generation 1.5 Hispanics in developmental English in community college. A qualitative comparative case study design was used for this social critical study. The key findings fell into three categories: road blocks, motivators, and actions. The road blocks included:...
Resource Type:: Dissertation
Full Text:: . I thank my brothers, Greg and Matt, for being positive role models for me and for supporting me

Coastal Soil and Structure Behavior during Earthquake-Tsunami Multi-Hazards

Creator:: Qiu, Yingqing
Abstract:: Coastal multi-hazards, i.e., earthquakes followed by tsunamis, induce severe damage to coastal infrastructure. The multi-hazards can cause soil liquefaction, which is one of the major concerns for evaluating sediments transport potential and structure failure mechanisms. The objectives for this work is threefold. First, to build and validate a soil numerical...
Resource Type:: Dissertation
Full Text:: you! CONTRIBUTION OF AUTHORS Dr. Greg Wilson, Ms. Marina Marcelli, Dr. Andrew Meigs, Dr. Meagan

ScholarsArchive@OSU

Deep Learning for Human and Biological Languages

Interpretable Machine Learning: Applications in Biology and Genomics

Knowledge Base Completion Leveraging Natural Language Data

Classifying Chemical Bioactivity by Coupling High-throughput Phenotypic Anchoring and Transcriptome Profiling in Zebrafish

Oregon industrial and engineering teacher's perceived professional development needs

Unraveling the endogenous functions of the aryl hydrocarbon receptor (AHR) and characterizing a novel long non-coding RNA (slincR) that contributes to AHR-mediated toxic responses in zebrafish

Signatures in the Subsurface - Big & Small Data Approaches for the Spatio-Temporal Analysis of Geologic Properties & Uncertainty Reduction

Comparison and analysis of small area estimation methods for improving estimates of selected forest attributes

Hispanic community college student empowerment : developmental English participants describe their educational experiences

Coastal Soil and Structure Behavior during Earthquake-Tsunami Multi-Hazards

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