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| http://dx.doi.org/10.5045/br.2020.2020079 | DOI Listing |
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How likely is it that a virus or bacteria is causing a patient's symptoms? A new approach to interpret the outcome from multi-pathogen PCR.
Infect Dis (Lond)
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Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
Background: Whether a detected virus or bacteria is a pathogen that may require treatment, or is merely a commensal 'passenger', remains confusing for many infections. This confusion is likely to increase with the wider use of multi-pathogen PCR.
Objectives: To propose a new statistical procedure to analyse and present data from case-control studies clarifying the probability of causality.
Multi-objective optimization of the heating oil circuit inside the calendering roller for the lithium battery pole piece.
Sci Rep
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Xingtai Naknor Technology Co., Ltd, Xingtai, 054000, China.
The heating oil circuit plays an essential role in the heating calendering roller for the lithium battery pole piece. To achieve the optimization of the heating oil circuit, a fluid-thermal-structural coupling method and a multi-objective optimization procedure are proposed to obtain the optimal solution. A fluid-thermal-structural coupling flowchart based on the numerical modeling for the calendering roller temperature distribution is created to automate the analysis processes in the optimization iteration.
View Article and Find Full Text PDFIncidental nanoparticle characterisation in industrial settings to support risk assessment modelling.
Int J Hyg Environ Health
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Institute of Environmental Assessment and Water Research - Spanish Research council (IDAEA-CSIC), Barcelona, 08034, Spain; Spanish Ministry of Ecological Transition, Pollution Prevention Unit, Pza. San Juan de la Cruz 10, 28071, Madrid, Spain.
Research on nanoparticle (NP) release and potential exposure can be assessed through experimental field campaigns, laboratory simulations, and prediction models. However, risk assessment models are typically designed for manufactured NP (MNP) and have not been adapted for incidental NP (INP) properties. A notable research gap is identifying NP sources and their chemical, physical, and toxicological properties, especially in real-world settings.
View Article and Find Full Text PDFWhen bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.
Neural Netw
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School of Cyber Science and Engineering, Xi'an Jiaotong University, China. Electronic address:
Detecting anomalies in attributed networks has become a subject of interest in both academia and industry due to its wide spectrum of applications. Although most existing methods achieve desirable performance by the merit of various graph neural networks, the way they bundle node-affiliated multidimensional attributes into a whole for embedding calculation hinders their ability to model and analyze anomalies at the fine-grained feature level. To characterize anomalies from each feature dimension, we propose Eagle, a deep framework based on bipartitE grAph learninG for anomaLy dEtection.
View Article and Find Full Text PDFPromoting interactional health equity through (Complementary and Integrative Health) talk during clinical encounters.
Patient Educ Couns
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Department of Communication Studies, San Francisco State University, San Francisco, USA; Medical Cultures Lab, University of California, San Francisco, USA.
Objectives: Complementary and Integrative Health (CIH) is recognized as a set of modalities to bolster health and well-being often outside of standard biomedical practice. How people discuss CIH with their biomedical providers is a microcosm for health communication more generally. In this Discussion, we propose a revision of the Street et al.
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