An in-depth understanding of flow through fractured media is vital to optimise engineering applications, including geothermal energy production, enhanced oil recovery, CO storage, and nuclear waste disposal. Advances in 3D-printing technologies have made it possible to generate 3D printed fracture networks with different fracture characteristics. By performing fluid flow experiments in the 3D-printed fractured networks, the impact of the fracture parameters, such as the density, orientation, aperture, dip, and azimuth, on the overall flow can be investigated. This data article contains a detailed description of the framework followed to design fractured networks with different fracture parameters and to create 3D-printed samples, including fracture networks. Furthermore, it contains the experimental protocols used to measure the porosity, permeability, and tracer responses of the 3D-printed samples. The generated datasets provided include geometry data describing the fracture networks, as well as porosity, permeability and tracer response data obtained from flow experiments conducted in the fracture networks.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9993027 | PMC |
http://dx.doi.org/10.1016/j.dib.2023.109010 | DOI Listing |
Ann Ital Chir
January 2025
Medical Department, Ningbo No.9 Hospital, 315020 Ningbo, Zhejiang, China.
Aim: This study aimed to develop a reliable and efficient system for predicting and locating rib fractures in medical images using an ensemble of convolutional neural networks (CNNs).
Methods: We employed five CNN architectures-Visual Geometry Group Network 16 (VGG16), Densely Connected Convolutional Network 169 (DenseNet169), Inception Version 4 (Inception V4), Efficient Network B7 (EfficientNet-B7), and Residual Network Next 50 layers (ResNeXt-50)-trained on a dataset of 840 grayscale computed tomography (CT) scan images in .jpg format collected from 42 patients at a local hospital.
Spine J
January 2025
Medical University of South Carolina, Charleston, SC, USA. Electronic address:
Background Context: Clinical outcomes are directly related to patient selection and treatment indications for improved quality of life. With emphasis on quality and value, it is essential that treatment recommendations are optimized.
Purpose: The purpose of the North American Spine Society (NASS) Appropriate Use Criteria (AUC) is to determine the appropriate (ie, reasonable) multidisciplinary treatment recommendations for patients with metastatic neoplastic vertebral fractures across a spectrum of more common clinical scenarios.
J Bone Joint Surg Am
November 2024
Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Background: Fractures of the thoracic and lumbar spine are increasingly common. Although it is known that such fractures may elevate the risk of near-term morbidity, the natural history of patients who sustain such injuries remains poorly described. We sought to characterize the natural history of patients treated for thoracolumbar fractures and to understand clinical and sociodemographic factors associated with survival.
View Article and Find Full Text PDFObjective: This study aims to utilize bioinformatics and network pharmacology to identify the active components of Bushen Tiansui decoction (BSTSD) and elucidate its molecular mechanisms and targets in promoting delayed fracture healing.
Materials And Methods: Using various databases and tools, we identified 155 active compounds within BSTSD's herbal components. Key compounds such as eriodictyol and β-sitosterol were noted for their significant anti-inflammatory, antioxidant, and immunomodulatory effects, which are crucial for promoting fracture healing.
Nanotechnology
January 2025
Anhui Agricultural University, Hefei, 230036, P. R. China, Hefei, 230036, CHINA.
Strain sensing fabrics are able to sense the deformation of the outside world, bringing more accurate and real-time monitoring and feedback to users. However, due to the lack of clear sensing mechanism for high sensitivity and high linearity carbon matrix composites, the preparation of high performance strain sensing fabric weaving is still a major challenge. Here, an elastic polyurethane(PU)-based conductive fabric(GCPU) with high sensitivity, high linearity and good hydrophobicity is prepared by a novel synergistic conductive network strategy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!