A triboelectric nanogenerator (TENG) provides an effective method to harvest mechanical energy from the environment. The morphology and structure of frictional electrode materials of this type of device affect the output performance significantly. Metal-organic coordination polymers (CPs) with special structure advantages offer a vast pool of materials enabling high performances. Two Co-CPs based on terephthalic acid and 2,5-dihydroxyterephthalic acid ligands, respectively, were used to fabricate TENGs. Detailed electrical characterizations of the TENG devices revealed that the introduction of the substituent groups in the organic ligands leads to the structural changes of CPs, which ultimately leads to significant differences in the output performance.
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http://dx.doi.org/10.1039/d2ra05537f | DOI Listing |
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.
View Article and Find Full Text PDFJ Dent Sci
January 2025
First Clinical Division, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, China.
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.
Bio Protoc
January 2025
University of Bordeaux, CNRS, IBGC UMR 5095, Bordeaux, France.
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.
View Article and Find Full Text PDFEur Heart J Case Rep
January 2025
Department of Pediatric Cardiology, Osaka Women's and Children's Hospital, Izumi, Osaka 594-1101, Japan.
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.
Front Big Data
January 2025
The College of Computer, Qinghai Normal University, Xining, China.
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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