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The maturation state and density of human cartilage microtissues influence their fusion and development into scaled-up grafts.
Acta Biomater
January 2025
Trinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland; Department of Mechanical, Manufacturing and Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland; Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Advanced Materials and Bioengineering Research Centre (AMBER), Royal College of Surgeons in Ireland and Trinity College Dublin, Dublin, Ireland. Electronic address:
Functional cartilaginous tissues can potentially be engineered by bringing together numerous microtissues (µTs) and allowing them to fuse and re-organize into larger, structurally organized grafts. The maturation level of individual microtissues is known to influence their capacity to fuse, however its impact on the long-term development of the resulting tissue remains unclear. The first objective of this study was to investigate the influence of the maturation state of human bone-marrow mesenchymal stem/stromal cells (hBM-MSCSs) derived microtissues on their fusion capacity and the phenotype of the final engineered tissue.
View Article and Find Full Text PDFAssessment of residential renewable energy investment under dynamic market environment: Aspect from household benefits.
J Environ Manage
January 2025
Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa City, Kanagawa Prefecture, 252-0882, Japan. Electronic address:
The adoption of residential renewable energy is pivotal for achieving the 'Net Zero' goal, yet financial assessments of household investments in this area remain complex due to dynamic market conditions. This study introduces a novel closed-form financial valuation framework for residential solar photovoltaic (PV) systems, explicitly addressing the uncertainties of electricity market price fluctuations (market risk) and energy policy changes (policy risk) using Geometric Brownian Motion (GBM). A case study in France demonstrates the framework's application, revealing that the discount rate is the most influential factor in solar PV valuation, followed by system lifespan and policy-driven Feed-in Tariff (FiT) rates.
View Article and Find Full Text PDFSimulation studies to identify high-affinity probiotic peptides for inhibiting PAK1 gastric cancer protein: A comparative approach.
Comput Biol Chem
January 2025
National Institute for Genomics and Advanced Biotechnology (NIGAB), National Agricultural Research Center (NARC), Pakistan. Electronic address:
A major threat to world health is the high death rate from gastrointestinal (GI) cancer, especially in Asia, South America, and Europe. The new approaches are needed because of the complexity and heterogeneity of gastrointestinal (GI) cancer, which has made the development of effective treatments difficult. To investigate the potential of peptide-based therapies that target the P21 Activated Kinase 1 (PAK1) in GI cancer, we are using the DBsORF database to predict peptides from the genomes of two bacterial strains: Lactobacillus plantarum and Pediococcus pentosaceus.
View Article and Find Full Text PDFImplementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations.
Neural Netw
December 2024
Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London SW7 2BP, UK; Centre for AI-Physics Modelling, Imperial-X, White City Campus, Imperial College London, W12 7SL, UK.
Machine learning (ML) has benefited from both software and hardware advancements, leading to increasing interest in capitalising on ML throughout academia and industry. There have been efforts in the scientific computing community to leverage this development via implementing conventional partial differential equation (PDE) solvers with machine learning packages, most of which rely on structured spatial discretisation and fast convolution algorithms. However, unstructured meshes are favoured in problems with complex geometries.
View Article and Find Full Text PDFIs Overlain Display a Right Choice for AR Navigation? A Qualitative Study of Head-Mounted Augmented Reality Surgical Navigation on Accuracy for Large-Scale Clinical Deployment.
CNS Neurosci Ther
January 2025
Department of Neurosurgery, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qiangyuan, China.
Background: During the course of the past two decades, head-mounted augmented reality surgical navigation (HMARSN) systems have been increasingly employed in a variety of surgical specialties as a result of both advancements in augmented reality-related technologies and surgeons' desires to overcome some drawbacks inherent to conventional surgical navigation systems. In the present time, most experimental HMARSN systems adopt overlain display (OD) that overlay virtual models and planned routes of surgical tools on corresponding physical tissues, organs, lesions, and so forth, in a surgical field so as to provide surgeons with an intuitive and direct view to gain better hand-eye coordination as well as avoid attention shift and loss of sight (LOS), among other benefits during procedures. Yet, its system accuracy, which is the most crucial performance indicator of any surgical navigation system, is difficult to ascertain because it is highly subjective and user-dependent.
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