In this paper, we introduce a new approach to computing a Morse decomposition of a vector field on a triangulated manifold surface. The basic idea is to convert the input vector field to a piecewise constant (PC) vector field, whose trajectories can be computed using simple geometric rules. To overcome the intrinsic difficulty in PC vector fields (in particular, discontinuity along mesh edges), we borrow results from the theory of differential inclusions. The input vector field and its PC variant have similar Morse decompositions. We introduce a robust and efficient algorithm to compute Morse decompositions of a PC vector field. Our approach provides subtriangle precision for Morse sets. In addition, we describe a Morse set classification framework which we use to color code the Morse sets in order to enhance the visualization. We demonstrate the benefits of our approach with three well-known simulation data sets, for which our method has produced Morse decompositions that are similar to or finer than those obtained using existing techniques, and is over an order of magnitude faster.
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http://dx.doi.org/10.1109/TVCG.2011.88 | DOI Listing |
Sensors (Basel)
January 2025
Department of Environmental Remote Sensing and Geoinformatics, Trier University, Universitätsring 15, 54296 Trier, Germany.
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features).
View Article and Find Full Text PDFInsects
December 2024
Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro P.O. Box 53, Tanzania.
Interspecific competition between mosquito larvae may affects adult vectorial capacity, potentially reducing disease transmission. It also influences population dynamics, and cannibalistic and predatory behaviors. However, knowledge of interspecific competition between and species is limited.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
Atomic magnetometers are highly sensitive instruments widely used for measurements of weak magnetic field. Extracting vector information while maintaining high-precision scalar detection has become the trend in atomic magnetometer development. We introduce a vector atomic magnetometer containing a 5 mm-thick microfabricated vapor cell operating in free-induction-decay mode.
View Article and Find Full Text PDFGenes (Basel)
January 2025
School of Pharmacy, Center of Graduate Studies, West Coast University, 590 N Vermont Ave, Los Angeles, CA 90004, USA.
Gene therapy has emerged as a promising frontier in the management of diabetes, offering innovative approaches to address both type 1 and type 2 diabetes. This narrative review examines the advancements in gene therapy applications, focusing on both animal and human studies, and includes a total of 11 studies in adherence to PRISMA guidelines. These studies utilize various viral vectors, such as adeno-associated virus (AAV) and lentivirus, to deliver genes that regulate insulin production and enhance angiogenesis.
View Article and Find Full Text PDFBMC Public Health
January 2025
National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands.
Background: The emergence of mosquito-borne viruses (MBVs) in Europe emphasizes the need for preparedness and response plans. This requires knowledge integration and collaboration across the human, animal, vector, and environmental health domains, aligning with the One Health approach. Despite the importance of a One Health approach, engaging stakeholders from each domain remains challenging.
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