Jagiellonian University

Jagiellonian Univeristy Repository
Not a member yet
    200871 research outputs found

    Adaptive contrastive hierarchical clustering with nodes visualization

    No full text
    Deep clustering has been dominated by flat models that split a dataset into a predefined number of groups. Although recent methods achieve an extremely high similarity to the ground truth on popular benchmarks, the information contained in a flat partition is limited. In this paper, we introduce CoHiClust, a Contrastive Hierarchical Clustering model based on deep neural networks, which can be applied to typical image data. By employing a self-supervised learning approach, CoHiClust distills the base network into a binary tree without access to any labeled data. The hierarchical clustering structure can be used to analyze the relationship between clusters, as well as to measure the similarity between data points. In addition to the hierarchical structure we propose two visualization techniques, which allow us to deliver an intuitive explanation of tree nodes. Experiments demonstrate that CoHiClust generates a reasonable structure of clusters, which is consistent with our intuition and image semantics. Moreover, it obtains superior clustering accuracy on most of the image datasets compared to the state-of-the-art flat clustering models

    Nano bio-responsive systems avoiding methicillin resistant <i>Staphylococcus aureus</i> colonization on an implant surface

    No full text
    Biomaterial-associated infections caused by Staphylococcus aureus represent a race between bacterial colonization and mammalian cell integration on implant surfaces. If bacteria win, biofilm forms, often causing persistent infection. To favor host cells, we developed a nano bio-responsive system (NanoBioRS) with two synergistic defense lines. The first is a bio-adhesive surface with polymer brushes that recruit mammalian cells. The second is a nano-bioactive coating of polyphosphate-encapsulated chimeric phage endolysin nanoparticles (M23-PP), activated by alkaline phosphatase—an enzyme vital for bone development and biofilm life cycle. Using metal-free surface-initiated atom transfer radical polymerization, we synthesized poly(polyethylene glycol methacrylate) (PPEGMA), poly(glycidyl methacrylate) (PGMA), and their block copolymer polymer brushes. These brushes were characterized via ellipsometry, FTIR, contact angle, and XPS. Functionalization with Arg-Gly-Asp (RGD) peptide enhanced MC3T3-E1 preosteoblast recruitment, as confirmed by fluorescence microscopy. Further bioactivation with M23-PP nanoparticles provided targeted antibacterial action. NanoBioRS was biocompatible and its efficacy was validated through competitive colonization assays with methicillin sensitive or resistant S. aureus, together with MC3T3-E1 cells. This biocompatible platform shows strong potential to prevent bacterial colonization of implants

    48,272

    full texts

    200,871

    metadata records
    Updated in last 30 days.
    Jagiellonian Univeristy Repository
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇