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A solution method for active suppression of reflections in anechoic chambers.

J Acoust Soc Am

January 2025

University of Twente, Faculty of Engineering Technology, Applied Mechanics and Data Analysis, Drienerlolaan 5, 7522 NG Enschede, The Netherlands.

A solution method to improve an anechoic chamber at low frequencies with the use of active noise control is presented. The approach uses the Kirchhoff-Helmholtz integral to compute the reflected sound field resulting from the primary sources together with an algorithm to compute the filter coefficients of a controller driving secondary sources on the walls of the enclosure using reference signals as inputs, which are measured on a contour enclosing the primary sources. A causal frequency domain method with conjugate gradient iterations is derived to determine the controller.

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Background/purpose: Artificial intelligence (AI) can assist in medical diagnosis owing to its high accuracy and efficiency. This study aimed to develop a diagnostic system for automatically determining the degree of tooth wear (TW) using intraoral photographs with deep learning.

Materials And Methods: The study included 388 intraoral photographs.

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Stable-isotope resolved metabolomics (SIRM) is a powerful approach for characterizing metabolic states in cells and organisms. By incorporating isotopes, such as C, into substrates, researchers can trace reaction rates across specific metabolic pathways. Integrating metabolomics data with gene expression profiles further enriches the analysis, as we demonstrated in our prior study on glioblastoma metabolic symbiosis.

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Background: A partial atrioventricular septal defect (AVSD) with a hypoplastic left ventricle and common atrium is a rare combination of cardiac anomalies that can be associated with Ellis-van Creveld (EVC) syndrome.

Case Summary: A female neonate with EVC syndrome was diagnosed with an unbalanced AVSD and hypoplastic left ventricle. Pulmonary artery banding and ductus ligation were performed at 23 days after birth.

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Traditional rainfall data collection mainly relies on rain buckets and meteorological data. It rarely considers the impact of sensor faults on measurement accuracy. To solve this problem, a two-layer genetic algorithm-backpropagation (GA-BP) model is proposed.

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