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  • 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

  • The Influence of Quadriceps Rate of Torque Development and Arthrogenic Muscle Inhibition on Knee Landing Mechanics during Different Landing Tasks in ACL Reconstructed Females

    Creator:
    Huang, Yu-Lun
    Abstract:
    Lesser quadriceps explosive strength following anterior cruciate ligament (ACL) reconstruction (ACLR) may result in the use of altered landing mechanics that increase the risk for a second ACL injury. Reduced capacity to produce explosive strength in the quadriceps is potentially driven, at least in part, by quadriceps arthrogenic muscle inhibition...
    Resource Type:
    Dissertation
    Full Text:
    THE DISSERTATION OF Yu-Lun Huang for the degree of Doctor of Philosophy in Kinesiology presented

  • New Detection Methods for Transmission at Faster-Than-Nyquist Rates Using Quasi-Orthogonal Sequences

    Creator:
    Fang, Zhou
    Abstract:
    Direct sequence spread spectrum (DSSS) was initially used for anti-jamming in military applications and was later developed in other commercial applications. Walsh codes, which are a set of mutually orthogonal codes, are one type of the spreading codes used in DSSS systems. For any spreading codes of length N, these...
    Resource Type:
    Masters Thesis
    Full Text:
    Science minor advisor Dr. Liang Huang, for his help and I appreciate the excellent lectures he gave in