Objective: To assess the value of an intracavitary convex array probe in detecting internal carotid artery (ICA) disease.
Methods: Eighty-six carotid arteries in 43 cases were examined with intracavitary convex array probe, low-frequency convex array probe and high-frequency linear probe to collect the data including the ICA visible length, peak systolic velocity (PSV), internal diameter, blood vessel shape; common carotid artery (CCA) intimae-medial thickness (IMT), PSV, and internal diameter.
Results: Significant differences were noted in the visible length, PSV of ICA, and internal diameter detected by different frequency ultrasound probes. Intracavitary probe and high-frequency probe produced significantly different findings of the blood vessel shape.
Conclusion: Intracavitary convex array probe has important clinical value in detecting of ICA disease.
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A wavelength demodulation method for ultra-short fiber Bragg grating (US-FBG) sensors based on an arrayed waveguide grating (AWG) and a convex optimization algorithm is proposed and demonstrated. Instead of measuring the output power ratio of the two adjacent AWG channels as previously done, in this work the wavelength demodulation is realized by reconstructing the US-FBG spectrum. The principle of spectral reconstruction involves using an AWG to sample the spectral information of US-FBG and constructing underdetermined matrix equations with the obtained prior information on transmission responses and the detected output power from multiple AWG channels.
View Article and Find Full Text PDFPsychol Rev
December 2024
School of Interactive Computing, Georgia Institute of Technology.
Although the importance of unsupervised learning has been recognized since William James's "blooming, buzzing confusion," it has received less attention in the literature than supervised learning. An important form of unsupervised learning is clustering, which involves determining the groups of distinct objects that belong together. Visual clustering is foundational for ensemble perception, numerosity judgments, spatial problem-solving, understanding information visualizations, and other forms of visual cognition, and yet surprisingly few researchers have directly investigated this human ability.
View Article and Find Full Text PDFAdv Mater
December 2024
Department of Chemical and Biomolecular Engineering, and KAIST Institute for the NanoCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Structural colors are known for their tunability, fade resistance, and eco-friendliness. Recent advancements have shown that such colors can be efficiently produced using total internal reflection (TIR) on high-refractive-index convex microstructures without the need for periodic nanostructures. However, a reproducible, fast, and programmable production strategy for these microstructures is essential for commercial applications.
View Article and Find Full Text PDFEur Radiol Exp
December 2024
Department of Interventional Ultrasound, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Fengtai District, Beijing, 100853, China.
Background: Noninvasive and functional imaging of the focal liver lesion (FLL) vasculature at microscopic scales is clinically challenging. We investigated the feasibility of using super-resolution ultrasound (SR-US) imaging for visualizing and quantifying the microvasculature of intraparenchymal FLLs.
Methods: Patients with FLLs between June 2022 and February 2023 were prospectively screened.
Sensors (Basel)
November 2024
Key Laboratory of Radio Frequency Simulation and Radar Imaging, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China.
In order to solve the problem that the array beampattern varies greatly with the angle during spatial scanning, this paper presents a synthesis method of the conformal array beampattern based on "spatial-variability (SV)" suppression. In order to obtain a stable beampattern, the convex optimization method is used to solve the weighted value of the amplitude and phase of the elements under the condition of satisfying the set beam gain threshold so that the optimized main lobes of the beams with different directions approach the main lobe of the reference beam. Since beams of different dimensions have different broadening degrees after optimization, we weighted the objective function and solved the optimal weights by the golden section search method (GSM) to improve the comprehensive optimization results of two-dimensional beams.
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