• Login
    Search 
    •   eScholar Home
    • Faculty of Science
    • Doctoral Dissertations
    • Search
    •   eScholar Home
    • Faculty of Science
    • Doctoral Dissertations
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 13

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    On deep learning in physics 

    Mills, Kyle (2021-04-01)
    Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
    Thumbnail

    Immunomodulatory activity of Lacticaseibacillus rhamnosus R0011: analysis of secretome-mediated impacts on innate immune outcomes in intestinal epithelial cells and antigen presenting cells 

    Jeffrey, Michael (2021-12-01)
    Certain lactic acid bacteria (LAB), such as Lacticaseibacillus rhamnosus R0011, are associated with immune modulatory activities including down-regulation of pro-inflammatory gene transcription and expression. While host ...
    Thumbnail

    Development and characterization of chemical modifications for siRNA strand selection 

    Varley, Andrew James (2021-12-01)
    Small interfering RNA (siRNA) are non-coding, double-stranded RNA that enable efficient gene silencing through RNA interference (RNAi) mechanisms. The primary effector of RNAi is an RNA-guided nuclease, Ago2, which selects ...
    Thumbnail

    A mixed-method approach to analyze the robustness of natural language processing classifiers 

    Laughlin, Brandon (2021-04-01)
    Natural language processing algorithms (NLP) have become an essential approach for processing large amounts of textual information with applications such as spam, phishing and content moderation. Malicious actors can craft ...
    Thumbnail

    The synthesis and in vivo evaluation of chemically modified siRNAs that contain red-shifted internal azobenzene derivative spacers for selective and tunable photocontrol of activity without UV light 

    Hammill, Matthew (2021-08-01)
    Short interfering RNAs (siRNAs) are biopolymers that are used for post-transcriptional gene regulation and act as endogenous defenses against attack from viruses and dsRNA parasites. The siRNA field is making advances for ...
    Thumbnail

    A deep learning approach to focal cortical dysplasia segmentation in children with medically intractable epilepsy 

    Aminpour, Azad (2021-08-01)
    Paediatric epilepsy is one of the most common neurological disorders and has major impact on the cognition and quality of life of children. Focal Cortical Dysplasia (FCD) is one of the most common causes of medically ...
    Thumbnail

    Towards molecular reconstruction in Coulomb explosion imaging 

    Babalola, David (2021-02-01)
    The interaction of a fast laser with molecules at the femtosecond time scale, leads to the latter losing most of its valence electrons and become positively charged. The molecule which was initially in an equilibrium state, ...
    Thumbnail

    Computational methods for medical image registration 

    Mojica, Mia Carmela (2021-04-01)
    A significant amount of research has been dedicated to the improvement of techniques in the field of medical image analysis. Imaging modalities have been improved and new acquisition methods have been introduced to reveal ...
    Thumbnail

    Investigating the distribution of Nitellopsis obtusa in Ontario Lakes and its role as an ecosystem engineer 

    Harrow-Lyle, Tyler J. (2021-08-01)
    Nitellopsis obtusa is a non-native macrophyte introduced into the Laurentian Great Lakes in 1974. Over the last decade, increasing reports emerged for N. obtusa within lakes in the Great Lakes Basin. Despite N. obtusa being ...
    Thumbnail

    A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration 

    Kim, Chris (2021-07-01)
    Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ...
    • 1
    • 2

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of eScholarCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Discover

    AuthorAminpour, Azad (1)Babalola, David (1)Behnami, Sara (1)Hammill, Matthew (1)Harrow-Lyle, Tyler J. (1)Jeffrey, Michael (1)Kim, Chris (1)Laschuk, Nadia O. (1)Laughlin, Brandon (1)Mills, Kyle (1)... View MoreSubjectsiRNA (3)Machine learning (2)Adversarial machine learning (1)Alignment (1)Artificial intelligence (1)Asymptotic (1)Auxin (1)Azobenzene (1)Bioconjugates (1)BioID (1)... View MoreDate Issued
    2021 (13)
    Has File(s)Yes (13)

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV