A design analysis of a telecentric microchannel relay system developed for use with a smart-pixel-based photonic backplane is presented. The interconnect uses a clustered-window geometry in which optoelectronic device windows are grouped together about the axis of each microchannel. A Gaussian-beam propagation model is used to analyze the trade-off between window size, window density, transistor count per smart pixel, and lenslet ƒ-number for three cases of window clustering. The results of this analysis show that, with this approach, a window density of 4000 windows/cm(2) is obtained for a window size of 30 µm and a device plane separation of 25 mm. In addition, an optical power model is developed to determine the nominal power requirements of a 32 × 32 smart-pixel array as a function of window size. The power requirements are obtained assuming a complementary metal-oxide semiconductor inverter-amplifier and dual-rail multiple-quantum-well self-electro-optic-effect devices as the receiver stage of the smart pixel.
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http://dx.doi.org/10.1364/AO.35.001220 | DOI Listing |
Purpose: To provide a detailed pooled analysis of the diagnostic accuracy of microRNAs (miRNAs) in predicting the response to transarterial chemoembolization (TACE) in hepatocellular carcinoma (HCC).
Methods: A comprehensive literature search was conducted across PubMed, Embase, Cochrane Library, and Web of Science to identify studies assessing the diagnostic performance of miRNAs in predicting TACE response in HCC. Two independent reviewers performed quality assessment and data extraction using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool.
Hyperspectral images (HSI) have been extensively applied in a multitude of domains, due to their combined spatial and spectral characteristics along with a wealth of spectral bands. The ingenious combination of spatial and spectral information in HSI classification has remained a central research area for an extended period. In the classification process, it is essential to choose an expanded neighborhood window for learning.
View Article and Find Full Text PDFThe coupling between dual-band or multi-band quasi-bound states in the continuum (q-BICs) is of great interest for their rich physics and promising applications. Here, we report tunable collective electromagnetic induced transparency-like (EIT-like) phenomenon due to coupling between dual-band collective electric dipolar and magnetic quadrupolar q-BICs, which are supported by an all-dielectric metasurface composed of periodic tilted silicon quadrumers. We show that this collective EIT-like phenomenon with a strong slow light effect can be realized by varying the nanodisk diameter or the tilt angle and that the transparency window wavelength, the quality factor, and the group index can all be tuned by changing the nanodisk size.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Leeds Institute of Clinical Trials Research, University of Leeds, Clarendon Way, Leeds, LS2 9NL, UK.
Background: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that fully exploit the longitudinal data stored within electronic health records (EHRs). This review aims to summarise methods currently utilised for prediction of cancer from longitudinal data and provides recommendations on how such models should be developed.
View Article and Find Full Text PDFComput Struct Biotechnol J
January 2025
University of Cyprus, Department of Computer Science, Nicosia, Cyprus.
Protein Secondary Structure Prediction (PSSP) is regarded as a challenging task in bioinformatics, and numerous approaches to achieve a more accurate prediction have been proposed. Accurate PSSP can be instrumental in inferring protein tertiary structure and their functions. Machine Learning and in particular Deep Learning approaches show promising results for the PSSP problem.
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