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An improved practical Byzantine fault tolerance algorithm for aggregating node preferences.
Sci Rep
December 2024
School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.
Consensus algorithms play a critical role in maintaining the consistency of blockchain data, directly affecting the system's security and stability, and are used to determine the binary consensus of whether proposals are correct. With the development of blockchain-related technologies, social choice issues such as Bitcoin scaling and main chain forks, as well as the proliferation of decentralized autonomous organization (DAO) applications based on blockchain technology, require consensus algorithms to reach consensus on a specific proposal among multiple proposals based on node preferences, thereby addressing the multi-value consensus problem. However, existing consensus algorithms, including Practical Byzantine Fault Tolerance (PBFT), do not support nodes expressing preferences.
View Article and Find Full Text PDFAberration correction is critical for obtaining sharp images but remains a challenging task. Owing to its ability to record both spatial and angular information of light rays, light field imaging is a powerful method to measure and correct optical aberrations. However, current methods need extensive calibrations to obtain prior information about the camera, which is restrictive in real-world applications.
View Article and Find Full Text PDFA Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.
Adv Sci (Weinh)
December 2024
Department of Bioengineering, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
High-resolution optical microscopy, particularly super-resolution localization microscopy, requires precise real-time drift correction to maintain constant focus at nanoscale precision during the prolonged data acquisition. Existing methods, such as fiducial marker tracking, reflection monitoring, and bright-field image correlation, each provide certain advantages but are limited in their broad applicability. In this work, a versatile and robust drift correction technique is presented for single-molecule localization-based super-resolution microscopy.
View Article and Find Full Text PDFEMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [F]FDG brain studies.
EJNMMI Phys
December 2024
Department of Information Engineering, University of Padova, Padova, Italy.
Purpose: PET imaging is a pivotal tool for biomarker research aimed at personalized medicine. Leveraging the quantitative nature of PET requires knowledge of plasma radiotracer concentration. Typically, the arterial input function (AIF) is obtained through arterial cannulation, an invasive and technically demanding procedure.
View Article and Find Full Text PDFSurveillance for TB drug resistance using routine rapid diagnostic testing data: Methodological development and application in Brazil.
PLoS Comput Biol
December 2024
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Effectively responding to drug-resistant tuberculosis (TB) requires accurate and timely information on resistance levels and trends. In contexts where use of drug susceptibility testing has not been universal (i.e.
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