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Pulse approach: a physics-guided machine learning model for thermal analysis in laser-based powder bed fusion of metals.
Prog Addit Manuf
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Empa Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
Fast and accurate representation of heat transfer in laser powder-bed fusion of metals (PBF-LB/M) is essential for thermo-mechanical analyses. As an example, it benefits the detection of thermal hotspots at the design stage. While traditional physics-based numerical approaches such as the finite element (FE) method are applicable to a wide variety of problems, they are computationally too expensive for PBF-LB/M due to the space- and time-discretization requirements.
View Article and Find Full Text PDFA method for mimicking tumour tissue in brain ex-vivo ultrasound for research application and clinical training.
Acta Neurochir (Wien)
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Hamlyn Centre, Imperial College London, London, UK.
Background: Intraoperative ultrasound is becoming a common tool in neurosurgery. However, effective simulation methods are limited. Current, commercial, and homemade phantoms lack replication of anatomical correctness and texture complexity of brain and tumour tissue in ultrasound images.
View Article and Find Full Text PDFLearning with noisy labels via clean aware sharpness aware minimization.
Sci Rep
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School of Mechanical, Electrical, and Information Engineering, Putian University, Putian, 351100, China.
Noise label learning has attracted considerable attention owing to its ability to leverage large amounts of inexpensive and imprecise data. Sharpness aware minimization (SAM) has shown effective improvements in the generalization performance in the presence of noisy labels by introducing adversarial weight perturbations in the model parameter space. However, our experimental observations have shown that the SAM generalization bottleneck primarily stems from the difficulty of finding the correct adversarial perturbation amidst the noisy data.
View Article and Find Full Text PDF[This corrects the article DOI: 10.3389/fchem.2023.
View Article and Find Full Text PDFCorrelation of the FIB-4 Liver Biomarker Score with the Severity of Heart Failure.
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Department of Microbiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
: Heart failure is associated with high morbidity and mortality and linked with several pre-existing health conditions and risk factors. Early detection and prompt management in heart failure improves patient outcomes. Liver involvement is associated with heart failure disease progression, and hence liver biomarkers and liver fibrosis may have a prognostic impact.
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