Multi-sensor imaging systems using the global navigation satellite system (GNSS) and digital magnetic compass (DMC) for geo-referencing have an important role and wide application in long-range surveillance systems. To achieve the required system heading accuracy, the specific magnetic compass calibration and compensation procedures, which highly depend on the application conditions, should be applied. The DMC compensation technique suitable for the operation environment is described and different technical solutions are studied. The application of the swinging procedure was shown as a good solution for DMC compensation in a given application. The selected DMC was built into a system to be experimentally evaluated, both under laboratory and field conditions. The implementation of the compensation procedure and magnetic sensor integration in systems is described. The heading accuracy measurement results show that DMC could be successfully integrated and used in long-range surveillance systems providing required geo-referencing data.
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http://dx.doi.org/10.3390/s19194331 | DOI Listing |
J Mol Model
January 2025
School of Chemical and Environmental Engineering, China University of Mining and Technology-Beijing, Haidian District, Ding No.11 Xueyuan Road, Beijing, 100083, People's Republic of China.
Context: Understanding the structural characteristics of coal at the molecular level is fundamental for its effective utilization. To explore the molecular structure characteristic, the long-flame coal from Daliuta (DLT), coking coal from Yaoqiao (YQ), and anthracite from Taixi (TX) were investigated using various techniques such as elemental analysis, Fourier transform infrared spectroscopy, solid-state C nuclear magnetic resonance spectroscopy, and X-ray photoelectron spectroscopy. Based on the structural parameters, the coal molecular model was constructed and optimized.
View Article and Find Full Text PDFBJUI Compass
December 2024
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine University of Southern California Los Angeles California USA.
Objective: To assess the carbon footprint, accessibility, and diagnostic performance of an expedited 'One-Stop' prostate cancer (PCa) diagnostic pathway.
Materials And Methods: A total of 1083 consecutive patients undergoing magnetic resonance imaging (MRI) followed by transrectal ultrasound fusion-guided prostate biopsy (PBx) were identified from a prospective database. The patients were divided according to the diagnostic pathway: One-Stop, with MRI and same-day PBx (3 hours apart), or Standard, with MRI followed by a second visit for PBx.
Objectives: The objective of this study is to evaluate the diagnostic performance of perineal access cannulas tethered to a biplanar ultrasound probe in cognitive transperineal prostate biopsies of targets identified by multiparametric magnetic resonance imaging (mpMRI) by comparing the results of the PrecisionPoint (PP) Transperineal Access System with the double-freehand (DFH) technique.
Patients And Methods: All patients who underwent cognitive transperineal prostate biopsy of mpMRI targets using the PP or DFH technique between November 2020 and September 2023 were enrolled. All data related to mpMRI target biopsies were stratified by technique, visibility in transrectal ultrasound and analysed by comparing PP versus DFH.
BJUI Compass
December 2024
Department of Urology, Jules Bordet Institute, Hôpital Universitaire de Bruxelles Université Libre de Bruxelles Brussels Belgium.
Objective: The aim of this study was to assess the precision and safety of targeted microwave ablation (TMA) using organ-based tracking (OBT) fusion, in patients with intermediate risk prostate cancer.
Patients And Method: We conducted a prospective, multicentric trial. Eligible patients had a prostate-specific antigen (PSA) < 20 ng/mL, a magnetic resonance imaging (MRI)-visible index tumour of Gleason score 3 + 4, with largest axis ≤15 mm and distant of at least 5 mm from the rectum and apex.
Am J Psychiatry
January 2025
Institute for Advanced Diagnostics and Treatment, Sheppard Pratt Health System, Baltimore (Aaronson, Miller, LaPratt, Swartz, Shoultz, Lauterbach); Department of Psychiatry, University of Maryland, Baltimore (Aaronson, van der Vaart, Lauterbach); VA Palo Alto Health Care System and Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine, Palo Alto, CA (Suppes); Departments of Psychiatry and Radiology, Columbia University, New York (Sackeim).
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