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| http://dx.doi.org/10.1007/s41669-024-00502-w | DOI Listing |
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Improving robustness by action correction via multi-step maximum risk estimation.
Neural Netw
December 2024
School of Computer Science and Technology, Soochow University, Suzhou, 215006, China. Electronic address:
Certifying robustness against external uncertainties throughout the control process to reduce the risk of instability is very important. Most existing approaches based on adversarial learning use a fixed parameter to adjust the intensity of adversarial perturbations and design these perturbations in a greedy manner without considering future implications. However, they often lead to severe vulnerabilities when attack budgets vary dynamically or under foresighted attacks.
View Article and Find Full Text PDFLASP to the Future of Atomic Simulation: Intelligence and Automation.
Precis Chem
December 2024
Collaborative Innovation Center of Chemistry for Energy Material, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Key Laboratory of Computational Physical Science, Department of Chemistry, Fudan University, Shanghai 200433, China.
Atomic simulations aim to understand and predict complex physical phenomena, the success of which relies largely on the accuracy of the potential energy surface description and the efficiency to capture important rare events. LASP software (large-scale atomic simulation with a Neural Network Potential), released in 2018, incorporates the key ingredients to fulfill the ultimate goal of atomic simulations by combining advanced neural network potentials with efficient global optimization methods. This review introduces the recent development of the software along two main streams, namely, higher intelligence and more automation, to solve complex material and reaction problems.
View Article and Find Full Text PDFApplications in engineering biology increasingly share the need to run operations on very large numbers of biological samples. This is a direct consequence of the application of good engineering practices, the limited predictive power of current computational models and the desire to investigate very large design spaces in order to solve the hard, important problems the discipline promises to solve. Automation has been proposed as a key component for running large numbers of operations on biological samples.
View Article and Find Full Text PDFRepeatable process for extracting health data from HL7 CDA documents.
J Biomed Inform
December 2024
Institute of Computer Science, University of Tartu, 51009 Tartu, Estonia; STACC, 51009 Tartu, Estonia.
Objective: This study aims to address the gap in the literature on converting real-world Clinical Document Architecture (CDA) data into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), focusing on the initial steps preceding the mapping phase. We highlight the importance of a repeatable Extract-Transform-Load (ETL) pipeline for health data extraction from HL7 CDA documents in Estonia for research purposes.
Methods: We developed a repeatable ETL pipeline to facilitate the extraction, cleaning, and restructuring of health data from CDA documents to OMOP CDM, ensuring a high-quality and structured data format.
Assessment of Myocardial Perfusion in Patients After CABG: An Update and Clinical Implications.
Semin Nucl Med
December 2024
Mid-America Heart Institute and the Saint-Lukes Health System, University of Missouri - Kansas City, Kansas, MO. Electronic address:
Stress radionuclide myocardial perfusion imaging (MPI) has been well-established as a useful modality for assessing the status of the coronary circulation in post-coronary artery bypass graft (CABG) patients. CABG by itself escalates progression of atherosclerosis or thrombosis in bypassed native coronary arteries. In most cases MPI will be employed in post-CABG patients who are experiencing symptoms.
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