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  • Demonstration of an Alginate Valve in a Paper Microfluidic Device

    Creator:
    Cornwell, David Q.
    Abstract:
    Paper microfluidic devices are capable of processing fluids using capillary flow in materials that are lower cost than the standard materials used in microfluidics. Due to the low cost of their fabrication and minimal requirements for instrumentation, paper microfluidic devices are ideal for use in low-resource settings. They have the...
    Resource Type:
    Honors College Thesis
    Full Text:
    approved:_____________________________________________________ Elain Fu Paper microfluidic devices

  • Development of Microfluidic Assays and Flow Control Tools on Porous Materials: Towards a Wound-Health Monitoring Device

    Creator:
    Downs, Corey J.
    Abstract:
    Remote health monitoring tools have significant potential to revolutionize the current healthcare paradigm. Such tools could improve efficiencies in healthcare by alerting patients and doctors to abnormal health conditions in real time, shortening the time to diagnose and treat ailments. To meet these needs, we pursue the development of fabric-based...
    Resource Type:
    Dissertation
    Full Text:
    –283. https://doi.org/10.1103/PhysRev.18.206. [28] H. Fu, P. Song, Q. Wu, C. Zhao, P. Pan, X. Li

  • Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

    Creator:
    Shrestha, Sagar
    Abstract:
    Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
    Resource Type:
    Masters Thesis
    Full Text:
    Imitation Learning For Optimal Joint Beamforming and Antenna Selection Abstract approved: Xiao Fu

  • Volume minimized generalized cross entropy for learning with label noise

    Creator:
    Wolnick, Daniel
    Abstract:
    The types and rates of label noise in real-world data sets present a challenge to machine learning projects. In this thesis, we propose a novel approach to address this issue. Our method combines a noise modelling technique for correcting label noise across the entire data set with a robust loss...
    Resource Type:
    Honors College Thesis
    Full Text:
    Abstract approved: Xiao Fu The types and rates of label noise in real-world data sets present a challenge

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    : Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms Abstract approved: Xiao Fu

  • Development of Rapid Diagnostic Tools for Personal Health Monitors in the Context of Therapy Monitoring

    Creator:
    Wentland, Lael T.
    Abstract:
    Personal health monitoring tools, a subset of point-of care-diagnostics, enable more frequent testing of chronic health conditions outside of a clinic setting and can inform personalized therapy or support telehealth diagnostic capabilities. While there is evidence that regular monitoring of chronic conditions can lead to better health outcomes and lower...
    Resource Type:
    Dissertation
    Full Text:
    Elain Fu Personal health monitoring tools, a subset of point-of care-diagnostics, enable more

  • Large Scale Tensor Decomposition Algorithms Using Block-randomized Stochastic Proximal Gradient

    Creator:
    Gao, Cheng
    Abstract:
    We consider the problem of computing the cannonical polyadic decomposition (CPD) for large-scale dense tensors. This work is a combination of alternating least squares and fiber sampling. Data sparsity can be leveraged to handle large tensor CPD, but this route is not feasible for dense data. Inspired by stochastic optimization's...
    Resource Type:
    Masters Thesis
    Full Text:
    : Xiao Fu We consider the problem of computing the cannonical polyadic decomposition (CPD) for large

  • Development of a Paper-Based Whole Blood Phenylalanine Assay for PKU Diagnosis and Monitoring in Low Resource Settings

    Creator:
    Robinson, Robert Tyler
    Abstract:
    Phenylketonuria (PKU) is a genetic inborn metabolic disorder which inhibits the functional production of the enzyme phenylalanine hydroxylase (PAH). It currently affects one in 15,000 Americans and is the most common amino acid metabolism error found in newborns. Individuals affected with PKU are incapable of metabolizing the amino acid, phenylalanine...
    Resource Type:
    Masters Thesis
    Full Text:
    Elain Fu Abstract Phenylketonuria (PKU) is a genetic inborn metabolic disorder which inhibits

  • Field-use electrochemical sensors for detection of carbamazepine in saliva and water

    Creator:
    Minzlaff, Jade
    Abstract:
    The anticonvulsant drug carbamazepine (CBZ) is a commonly prescribed drug that is used to treat patients with neurological disorders including epilepsy and bi-polar disorder. CBZ has a narrow range of efficacy: Below the therapeutic dose, seizures and other conditions are not controlled, and above the recommended window, patients experience side...
    Resource Type:
    Honors College Thesis
    Full Text:
    Fu The anticonvulsant drug carbamazepine (CBZ) is a commonly prescribed drug that is used

  • Signal Enhancement in Lateral Flow Tests for Infant HIV Diagnosis

    Creator:
    Rodriguez, Michael A.
    Abstract:
    Paper-based assays for HIV diagnosis are cheap, portable, and require little to no skilled training, electricity, or expensive equipment to perform successfully. However, there is a need for tests with lower limits of detection (LOD) for diagnosing infection at the earliest stages. Effective labeling to increase signal-to-noise ratio is critical...
    Resource Type:
    Masters Thesis
    Full Text:
    : Elain Fu Paper-based assays for HIV diagnosis are cheap, portable, and require little to no