Download full-text PDF |
Source |
---|
Micromachines (Basel)
November 2024
Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University, Hangzhou 310018, China.
This study introduces a novel method that integrates artificial neural networks (ANNs) with the Particle Swarm Optimization (PSO) algorithm to enhance the efficiency and precision of parameter optimization for the small-signal equivalent model of dual-field-plate GaN HEMT devices. We initially train an ANN model to predict the S-parameters of the device, and subsequently utilize the PSO algorithm for parameter optimization. Comparative analysis with the NSGA2 and DE algorithms, based on convergence speed and accuracy, underscores the superiority of the PSO algorithm.
View Article and Find Full Text PDFJ Clin Exp Hepatol
November 2024
Department of Nephrology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Background: Renal impairment significantly affects morbidity and mortality rates of cirrhosis patients. Studies on glomerular filtration rate (eGFR) estimation did not include cirrhosis patients. These equations are erroneous and unreliable in cirrhosis due to sarcopenia.
View Article and Find Full Text PDFEur J Radiol Open
June 2025
Institution of Molecular Medicine and Surgery (MMK), Karolinska Institutet, Stockholm, Sweden.
Background: High-quality assessment of prostate MRI is fundamental in both clinical practice and screening. There is a lack of national level data on variability in prostate volume measurement and PI-RADS assessment. Methods of quality assurance need to be developed.
View Article and Find Full Text PDFData Brief
February 2025
Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Anal Chem
January 2025
Separation Science Group, Department of Organic and Macromolecular Chemistry, Ghent University, Krijgslaan 281 S4bis, B-9000 Ghent, Belgium.
Addressing the global challenge of ensuring access to safe drinking water, especially in developing countries, demands cost-effective, eco-friendly, and readily available technologies. The persistence, toxicity, and bioaccumulation potential of organic pollutants arising from various human activities pose substantial hurdles. While high-performance liquid chromatography coupled with high-resolution mass spectrometry (HPLC-HRMS) is a widely utilized technique for identifying pollutants in water, the multitude of structures for a single elemental composition complicates structural identification.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!