A5075241789- Graph theory and applications
- Cellular Mechanics and Interactions
- Advanced Numerical Analysis Techniques
- Graphene research and applications
- Interconnection Networks and Systems
- Mathematical Biology Tumor Growth
- Advanced machining processes and optimization
- Gene Regulatory Network Analysis
- Advanced Graph Theory Research
- Advanced Measurement and Metrology Techniques
- Microtubule and mitosis dynamics
- Complex Network Analysis Techniques
- Collagen: Extraction and Characterization
- Advanced Surface Polishing Techniques
- Micro and Nano Robotics
- 3D Printing in Biomedical Research
- thermodynamics and calorimetric analyses
- Synthesis and Properties of Aromatic Compounds
- Sports, Gender, and Society
- Computer Graphics and Visualization Techniques
- Mathematical Dynamics and Fractals
- Microfluidic and Bio-sensing Technologies
- Sports Analytics and Performance
- Diffusion and Search Dynamics
- Advanced Mathematical Modeling in Engineering
Brigham Young University
2015-2024
University of Toronto
2022
SUNY Polytechnic Institute
2021-2022
Pontificia Universidad Católica de Chile
2001
We aimed to develop an explainable machine learning (ML) model predict side-specific extraprostatic extension (ssEPE) identify patients who can safely undergo nerve-sparing radical prostatectomy using preoperative clinicopathological variables.A retrospective sample of data from 900 prostatic lobes at our institution was used as the training cohort. Primary outcome presence ssEPE. The baseline for comparison had highest performance out current biopsy-derived predictive models A separate...
Understanding the different regulatory functions of epithelial and mesenchymal cell types in salivary gland development cellular organization is essential for proper organoid formation tissue regeneration. Here, we demonstrate a biocompatible platform using pre-formed alginate hydrogel microtubes to facilitate direct epithelial–mesenchymal interaction 3D organization, which allows monitoring while providing protective barrier from cell-cluster loss during medium changes. Using mouse ductal...
Abstract Textile waste presents a major burden on the environment, contributing to climate change and chemical pollution as toxic dyes finishing chemicals enter environment through landfill leachate. Moreover, majority of textile reaching landfills is discarded clothing, which could be reused or recycled. Here we investigate environmentally benign morphology changing cotton textiles precursor for reintegration into circular materials economy. At 50 °C using low concentrations acids bases,...
Two mathematical models for fibroblast–collagen interaction are proposed which reproduce qualitative features of fibroblast-populated collagen lattice contraction. Both force based and model the cells as individual entities with discrete attachment sites; however, is modelled differently in each model. In model, more interconnected formed by triangulating nodes to form fibrous structure. fibre not triangulated, less interconnected, fibres a string nodes. suggest that overall increase stress...
Fluorescence Recovery After Photobleaching (FRAP) has been extensively used to understand molecular dynamics in cells. This technique when applied soluble, globular molecules driven by diffusion is easily interpreted and well understood. However, the classical methods of analysis cannot be anisotropic structures subjected directed transport, such as cytoskeletal filaments or elongated organelles transported along microtubule tracks. A new mathematical approach needed analyze FRAP data this...
We extend a function u which satisfies the Hölder estimatefor all x, y defined on fractal Koch curve S to larger domain Ω ⊆ R 2 .The extension * is everywhere in Ω, continuous corresponds with at every point S, and estimate |u | Ω,β ≤ C S,β constant independent of u.Our approach more constructive then standard exploits both self-similarity as well iterative process used define set.
The main contribution of this paper is a six-step semi-automatic algorithm that obtains recursion satisfied by family determinants systematically and iteratively applying Laplace expansion to the underlying matrix family. allows explicit computation Binet form providing closed formula for resistance distance between two specified nodes in graphs. This approach particularly suited graph families with complex structures; method used prove 1 over 14 conjectured asymptotic linear 3--trees....
Motivation: Deep learning (DL) reconstructions can improve image quality and/or reduce acquisition time in diffusion-weighted imaging (DWI). Goal(s): This study aims to assess, quantitatively and qualitatively, DL-accelerated DWI 50 patients with colorectal cancer undergoing liver examinations. Approach: Three series are compared: a moderately-accelerated DL-DWI, corresponding standard reconstruction highly-accelerated DL-DWI. Results: The DL method provides better than reconstruction. Its...