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Background: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations are hindered by the challenging image reconstruction from LA projections. While optimization-based and deep learning-based methods have been proposed for image reconstruction, their utilization is limited by the requirement for X-ray spectra measurement or paired datasets for model training.
View Article and Find Full Text PDFWeighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors.
Adv Sci (Weinh)
January 2025
College of Physics Science & Technology, School of Life Sciences, Institute of Life Science and Green Development, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, 071002, China.
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph-structured data. However, most amorphous/polycrystalline oxides-based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. And graph neural networks based on robust and epitaxial film memristors can especially improve energy efficiency due to their high endurance and ultra-low power consumption.
View Article and Find Full Text PDFHybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions.
Sci Rep
January 2025
Department of Electrical Engineering, Imam Khomeini Naval Science University of Nowshahr, Nowshahr, Iran.
The maximum power delivered by a photovoltaic system is greatly influenced by atmospheric conditions such as irradiation and temperature and by surrounding objects like trees, raindrops, tall buildings, animal droppings, and clouds. The partial shading caused by these surrounding objects and the rapidly changing atmospheric parameters make maximum power point tracking (MPPT) challenging. This paper proposes a hybrid MPPT algorithm that combines the benefits of the salp swarm algorithm (SSA) and hill climbing (HC) techniques.
View Article and Find Full Text PDFUse of Remote Regulatory Assessment (RRA) for Site Evaluations during the COVID-19 Pandemic: The USFDA's Office of Study Integrity and Surveillance (OSIS) Perspective.
AAPS PharmSciTech
January 2025
OSIS, Silver Spring, Maryland, U.S.A.
Travel restrictions during the novel coronavirus, SARS-CoV-2 (COVID-19) public health emergency affected the U.S. Food and Drug Administration's (FDA) ability to conduct on-site bioavailability/bioequivalence (BA/BE) and Good Laboratory Practice (GLP) nonclinical inspections.
View Article and Find Full Text PDFDetermining optimum assembly zone for modular reconfigurable robots using multi-objective genetic algorithm.
Sci Rep
January 2025
Department of Electronics Engineering, College of Engineering, Chang Gung University, Taoyuan City, 330, Taiwan.
Reconfigurable modular robots can be used in application domains such as exploration, logistics, and outer space. The robots should be able to assemble and work as a single entity to perform a task that requires high throughput. Selecting an optimum assembly position with minimum distance traveled by robots in an obstacle surrounding the environment is challenging.
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