98%
921
2 minutes
20
Density imaging is a method that uses the inversion of the gravity and gravity gradient spectra in the wavenumber domain to create accurate 3D reconstructions of subsurface density distributions. This approach offers computational efficiency and rapid calculations. This research used preliminary inversions to examine the spectral characteristics of gravity and gravity gradient anomalies, as well as the resulting models, were scrutinized through preliminary inversions. 3D density imaging of gravity and gravity gradient was performed in the wavenumber domain using depth weighting on both noise-added and theoretical data, producing a density model that was consistent with the theoretical one. The technique was then used in the Decorah region of the United States, where 3D density imaging was performed and an examination of the properties of gravity and gravity gradient anomalies was conducted. The results showed where high-density Decorah complexes, low-density siliceous intrusive rocks, and high-density intrusive rock masses, were the distributed within the surrounding rock. Each of these provided comprehensive insights into the intrusive pathways to the rock mass. Thus, the appropriateness and effectiveness of the density imaging method were confirmed, supporting a deeper understanding of the structural division and geological evolution in the region.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10762088 | PMC |
http://dx.doi.org/10.1038/s41598-023-49711-z | DOI Listing |
J Pathol Inform
November 2025
Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA.
Evaluation of tumor infiltrating lymphocytes as recommended by current guidelines is largely based on stromal regions within the tumor. In the context of epithelial malignancies, the epithelial region and the epithelial-stromal interface are not assessed, because of technical difficulties in manually discerning lymphocytes when admixed with epithelial tumor cells. The inability to quantify immune cells in epithelial-associated areas may negatively impact evaluation of patient response to immune checkpoint therapies.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2025
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Objectives: To evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in older adult(s) osteoporosis patients.
Materials & Methods: Thirty OVCF patients and 15 osteoporosis patients were enrolled. Areas of interest (ROIs) were manually drawn using the post-processing workstation, and FF values of the patient's L1-L4 vertebrae (except the fractured vertebrae) were measured.
Risk Manag Healthc Policy
September 2025
Department of Neurosurgery Intensive Care Unit, the Affiliated Wuxi People's Hospital of Nanjing Medical University,Wuxi Medical Center,Nanjing Medical University, Wuxi People's Hospital, Wuxi, Jiangsu Province, 214023, People's Republic of China.
Background: Identifying risk factors associated with hematoma expansion following spontaneous intracerebral hemorrhage (ICH) is essential for improving early intervention strategies. We hope to use this predictive model in the future to comprehensively score the risk factors of hospitalized patients with cerebral hemorrhage and evaluate the possibility of hematoma enlargement. Being able to identify high-risk patients with hematoma enlargement early and take intervention measures to save their lives.
View Article and Find Full Text PDFIEEE Nanotechnol Mater Devices Conf
October 2024
Utah State University, Logan, UT 84322 USA.
Extinction in thin polymer films containing nanoparticles is important to photovoltaics, sensors, and interconnects. Extinction measured in 1-millimeter-thin films containing plasmonic nanoparticles increased with nanoparticle density to levels higher than predicted. Yet, enhancement of extinction was not measured in <100-nanometer-thin films containing high-density plasmonic nanoparticles.
View Article and Find Full Text PDFMed Phys
September 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
Background: Dual-energy computed tomography (DECT) enhances material differentiation by leveraging energy-dependent attenuation properties particularly for carbon ion therapy. Accurate estimation of tissue elemental composition via DECT can improve quantification of physical and biological doses.
Objective: This study proposed a novel machine-learning-based DECT (ML-DECT) method to predict the physical density and mass ratios of H, C, N, O, P, and Ca.