Index Catalog // ScholarsArchive@OSU

Activation and Nuclear Translocation of the Transcription Factor Nrf2 by the MAP Kinase Family

Creator:: Nguyen, Ngan H.
Abstract:: Eukaryotic cells have developed elaborate biochemical processes to counteract oxidative stress, electrophiles, or carcinogens due to environmental insults. One of these important cellular defense mechanisms is mediated by the transcription factor Nrf2 that have been shown to have decrease activity with age. While the process of which Nrf2 is involved...
Resource Type:: Honors College Thesis
Full Text:: . ©Copyright by Ngan H. Nguyen June 2, 2009 All Rights Reserved Activation and Nuclear

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

Creator:: Meyn, Matthew
Abstract:: Automatic music transcription (AMT) is the task, given an acoustic representation of music, to recover a symbolic notation of the written notes expressed by the sound. Transcribing music with multiple notes sounding simultaneously is difficult for both humans and machines. Much existing work on AMT has focused on suitable acoustic...
Resource Type:: Capstone Project
Full Text:: Transcription Abstract approved: Liang Huang Automatic music transcription (AMT) is the task, given an

Advances in Simultaneous Translation

Creator:: Zheng, Renjie
Abstract:: Simultaneous translation, which translates concurrently with the source language speech, is widely used in many scenarios including multilateral organizations. However, it is well known to be one of the most challenging tasks for humans due to the simultaneous perception and production in two languages. On the other hand, simultaneous translation...
Resource Type:: Dissertation
Full Text:: Simultaneous Translation Abstract approved: Liang Huang Simultaneous translation, which translates

RNA Secondary Structure Prediction Using Neural Machine Translation

Creator:: Zhang, Luyao
Abstract:: RNA secondary structure prediction maps a RNA sequence to its secondary structure (set of AU, CG, and GU pairs). It is an important problem in computational biology be-cause such structures reveals crucial information about the RNAs function, which is useful in many applications ranging from noncoding RNA detection to folding...
Resource Type:: Capstone Project
Full Text:: Liang Huang, whose inspiring guid- ance, generous support, and consistent trust have facilitated the

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Creator:: Zhang, Liang
Abstract:: RNA structure prediction is a challenging problem, especially with pseudoknots. Recently, there has been a shift from the classical minimum free energy-based methods (MFE) to partition function-based ones that assemble structures based on base-pairing probabilities. Two typical examples of the latter group are the popular maximum expected accuracy (MEA) method...
Resource Type:: Masters Thesis
Full Text:: ProbKnot for Improved RNA Secondary Structure Prediction Abstract approved: Liang Huang RNA structure

Parsing with Recurrent Neural Networks

Creator:: Cross, James Henry, III
Abstract:: Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
Resource Type:: Dissertation
Full Text:: with Recurrent Neural Networks Abstract approved: Liang Huang Machine learning models for natural

Structured learning with latent variables : theory and algorithms

Creator:: Zhao, Kai
Abstract:: Most tasks in natural language processing (NLP) try to map structured input (e.g., sentence or word sequence) to some form of structured output (tag sequence, parse tree, semantic graph, translated/paraphrased/compressed sentence), a problem known as “structured prediction”. While various learning algorithms such as the perceptron, maximum entropy, and expectation-maximization have...
Resource Type:: Dissertation
Full Text:: Variables: Theory and Algorithms Abstract approved: Liang Huang Most tasks in natural language processing

Structured Neural Models for Natural Language Processing

Creator:: Ma, Mingbo
Abstract:: Most tasks in natural language processing (NLP) involves structured information from both input (e.g., a sentence or a paragraph) and output (e.g., a tag sequence, a parse tree or a translated sentence). While neural models achieve great successes in other domains such as computer vision, applying those frameworks to NLP...
Resource Type:: Dissertation
Full Text:: Neural Models for Natural Language Processing Abstract approved: Liang Huang Most tasks in natural

Nanoscale Patterning of Extracellular Matrix Alters Endothelial Function under Shear Stress

Creator:: Nakayama, Karina H., Surya, Vinay N., Gole, Monica, Walker, Travis W., Yang, Weiguang, Lai, Edwina S., Ostrowski, Maggie A., Fuller, Gerald G., Dunn, Alexander R., and Huang, Ngan F.
Abstract:: The role of nanotopographical extracellular matrix (ECM) cues in vascular endothelial cell (EC) organization and function is not well-understood, despite the composition of nano- to microscale fibrillar ECMs within blood vessels. Instead, the predominant modulator of EC organization and function is traditionally thought to be hemodynamic shear stress, in which...
Resource Type:: Article
Full Text:: . Dunn,†,∥ and Ngan F. Huang*,†,‡,§ †Stanford Cardiovascular Institute, Stanford, California 94305

Gaseous electron-diffraction investigations : I. Molecular structures of Os(CO)₅, Ru(CO)₅, and CrOF₄. II. Molecular structures and anti-gauche compositions of BrCH₂,CH₂,F, BrCH₂CH₂C1, C1CH₂CH₂F,C1₂CHCHC1₂, and FCH₂CH₂OH

Creator:: Huang, Jinfan
Resource Type:: Dissertation
Full Text:: ₂,F, BrCH₂CH₂C1, C1CH₂CH₂F,C1₂CHCHC1₂, and FCH₂CH₂OH AN ABSTRACT OF THE THESIS OF Jinfan Huang for

ScholarsArchive@OSU

Activation and Nuclear Translocation of the Transcription Factor Nrf2 by the MAP Kinase Family

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

Advances in Simultaneous Translation

RNA Secondary Structure Prediction Using Neural Machine Translation

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Parsing with Recurrent Neural Networks

Structured learning with latent variables : theory and algorithms

Structured Neural Models for Natural Language Processing

Nanoscale Patterning of Extracellular Matrix Alters Endothelial Function under Shear Stress

Gaseous electron-diffraction investigations : I. Molecular structures of Os(CO)₅, Ru(CO)₅, and CrOF₄. II. Molecular structures and anti-gauche compositions of BrCH₂,CH₂,F, BrCH₂CH₂C1, C1CH₂CH₂F,C1₂CHCHC1₂, and FCH₂CH₂OH

Limit your search

Academic Affiliation

Advisor

Commencement Year

Committee Member

Conference Name

Conference Section/Track

Creator

Contributor

Date

Decade

Degree Field

Degree Level

Degree Name

File Format

Language

License

Location

Non-Academic Affiliation

Peer Reviewed

Resource Type

Rights Statement

Subject

Search Constraints

Search Results

Limit your search