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Filtering by: Creator Hedge, Z. N. Remove constraint Creator: Hedge, Z. N. License All rights reserved Remove constraint License: All rights reserved Non-Academic Affiliation Oregon State University. Graduate School Remove constraint Non-Academic Affiliation: Oregon State University. Graduate School

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  • Ukimwi ni homa (AIDS is a cold) : HIV vulnerability of Maasai women

    Creator:
    Hedges, Kristin Naserian
    Abstract:
    This thesis takes an in-depth look at specific behaviors that are putting Maasai women at risk for HIV/AIDS in Kenya. Methods used include in-depth interviews, focus group discussion, demographic data collection, and nutritional anthropometric measurements. The research took place June September 2004. Analysis reveals a strong connection between poverty and...
    Resource Type:
    Masters Thesis
    Full Text:
    ....................... 40 4.3 Diet ................................................. 43 4.4 Other Z Scores

  • Error control techniques for the Z-channel

    Creator:
    Oprisan, Paul
    Abstract:
    The asymmetric nature of bit errors in several practical applications provides grounds for efficient error control techniques. The Z-channel model and special classes of codes like asymmetric error detection codes and t-asymmetric error correcting/d-asymmetric error detecting codes can be successfully used in ARQ protocols for feedback error control enhancement. This...
    Resource Type:
    Dissertation
    Full Text:
    )V max (i + WCSm,n ) z (1 - q)iqk_z_i(1 (3.6) 26 Equation (3.6) gives a lower bound for P

  • Active learning of constraints for semi-supervised clustering

    Creator:
    Xiong, Sicheng
    Abstract:
    Semi-supervised clustering aims to improve clustering performance by considering user supervision in the form of pairwise constraints. In this paper, we study the active learning problem of selecting pairwise must-link and cannot-link constraints for semisupervised clustering. We consider active learning in an iterative manner where in each iteration queries are...
    Resource Type:
    Masters Thesis
    Full Text:
    Constraints for Semi-Supervised Clustering Abstract approved: Xiaoli Z. Fern Semi-supervised clustering

  • Bayesian optimization with empirical constraints

    Creator:
    Azimi, Javad
    Abstract:
    Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO algorithms select k ≥ 1 points to be evaluated. The results of those points are...
    Resource Type:
    Dissertation
    Full Text:
    : Bayesian Optimization with Empirical Constraints Abstract approved: Xiaoli Z. Fern Bayesian Optimization

  • Removal of cryoprotectant with the use of a microseparation device

    Creator:
    Lusianti, Ratih E.
    Abstract:
    Cryoprotectants (CPAs) such as glycerol and dimethyl sulfoxide (DMSO) are commonly used during cryopreservation of cell based therapeutics. Although these additives are beneficial during freezing, it is often desirable to remove them before infusion into a patient. Currently, the most common method for CPA removal is by centrifugation. This method...
    Resource Type:
    Masters Thesis
    Full Text:
    . Abstract approved:_________________________________________________________________ Adam Z

  • Event detection with forward-backward recurrent neural networks

    Creator:
    Ghaeini, Mohammad Reza
    Abstract:
    Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...
    Resource Type:
    Masters Thesis
    Full Text:
    Forward-Backward Recurrent Neural Networks Abstract approved: Xiaoli Z. Fern Automatic event extraction

  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: Simultaneous Segmentation and Classification of Bird Song Using CNN Abstract approved: Xiaoli Z

  • Improving the post-thaw processing of cryopreserved red blood cells using a combined approach of mathematical modeling and microfluidics

    Creator:
    Lusianti, Ratih E.
    Abstract:
    This study lays the groundwork on potential techniques that could be employed to improve the post-thaw wash processing of cryopreserved human red blood cells. Transfusion of red blood cells is one of the most commonly practiced procedures in clinical medicine. Millions of red blood cell units are transfused to patients...
    Resource Type:
    Dissertation
    Full Text:
    . Abstract approved: ____________________________________________________ Adam Z. Higgins This

  • Spray drying for erythrocyte preservation at room temperature

    Creator:
    Leu, Hsuan-Yu
    Abstract:
    Spray drying has been widely used in food science for long-term storage of products such as powdered milk, and it has recently been used for preservation of more temperature sensitive products such as human blood plasma and single-cell organisms. However, there are no previous reports of successful spray drying of...
    Resource Type:
    Masters Thesis
    Full Text:
    Temperature Abstract approved: Adam Z. Higgins Spray drying has been widely used in food science for

  • Supervised Hierarchical Segmentation for Bird Bioacoustics

    Creator:
    Tjahja, Teresa V.
    Abstract:
    Bioacoustics analysis can be used to conduct environmental monitoring by detecting the presence of birds species. This analysis usually involves identifying the species from their calls. In most frameworks, bird song syllables are extracted from audio recordings and individual syllables are input to a classifier to identify the species. Extraction...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Xiaoli Z. Fern Bioacoustics analysis can be used to conduct environmental monitoring