This article presents the design approach and the first demonstration of a wideband hybrid monolithic acoustic filter in the K -band, which exceeds the limitation of electromechanical coupling on the fractional bandwidth (FBW) of acoustic filters. The hybrid filter utilizes the codesign of electromagnetic (EM) and acoustic to attain wide bandwidth while keeping the advantages of small sizes and high Q in the acoustic domain. The performance trade space and design flow of the hybrid filter are also presented in this article, which allows this technology to be applied for filters with different center frequencies and FBWs. The hybrid filter is simulated by hybridizing the EM and acoustic finite element analysis, which are carried out separately and combined at a system level. The fabricated filter built with resonators having an electromechanical coupling of 0.7% based on the seventh-order antisymmetric Lamb wave mode (A7) has a 3-dB FBW of 2.4% at 19 GHz and a compact footprint of 1.4 mm.
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http://dx.doi.org/10.1109/TUFFC.2020.3035123 | DOI Listing |
Tomography
December 2024
Department of Diagnostic Radiology, Kitasato University School of Medicine, Sagamihara 252-0374, Japan.
Objectives: We evaluated the noise reduction effects of deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) in brain computed tomography (CT).
Methods: CT images of a 16 cm dosimetry phantom, a head phantom, and the brains of 11 patients were reconstructed using filtered backprojection (FBP) and various levels of DLR and HIR. The slice thickness was 5, 2.
BMC Bioinformatics
December 2024
Department of Software Science, Dankook University, Youngin, Gyeonggi, South Korea.
Background: High-dimensional datasets with low sample sizes (HDLSS) are pivotal in the fields of biology and bioinformatics. One of core objective of HDLSS is to select most informative features and discarding redundant or irrelevant features. This is particularly crucial in bioinformatics, where accurate feature (gene) selection can lead to breakthroughs in drug development and provide insights into disease diagnostics.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China. Electronic address:
Phenylarsonic acid (PAA) compounds, widely used in animal husbandry, pose a considerable environmental threat owing to their potential transformation into toxic inorganic arsenic species. To efficiently decontaminate PAA and adsorb secondary As(V), a hybrid CuFeO-modified carbon nanotube (CuFeO-CNT) filter was developed in this study. The hybrid CuFeO-CNT filter functioned as an effective catalyst, convective filtration medium, electrode, and adsorbent.
View Article and Find Full Text PDFMicrob Pathog
December 2024
Hospital Israelita Albert Einstein, Av. Albert Einstein 627, Morumbi, São Paulo, 05651-901, Brazil; Departamento de Obstetricia e Ginecologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Endometriosis is a chronic gynecological disease that affects 10 % of reproductive-aged women and characterized by the presence of endometrial tissue outside the uterus. The disease is linked to a pro-inflammatory environment in the peritoneal fluid of patients, with high levels of cytokines, growth factors, and reactive oxygen species. Changes in the peritoneal fluid, such as altered immune cells and cytokines, can be linked to the immune balance in endometriosis.
View Article and Find Full Text PDFJ Imaging Inform Med
December 2024
Department of Computer Science and Engineering, College of Engineering, Anna University, Guindy, Chennai, Tamilnadu, India.
Spatial regions within images typically hold greater priority over adjacent areas, especially in the context of medical images (MI) where minute details can have significant clinical implications. This research addresses the challenge of compressing medical image dimensions without compromising critical information by proposing an adaptive compression algorithm. The algorithm integrates a modified image enhancement module, clustering-based segmentation, and a variety of lossless and lossy compression techniques.
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