A5071019109- Probabilistic and Robust Engineering Design
- Geochemistry and Geologic Mapping
- Advanced Multi-Objective Optimization Algorithms
- Hydrocarbon exploration and reservoir analysis
- Optimal Experimental Design Methods
- Geological and Geochemical Analysis
- Heavy metals in environment
- Geological Modeling and Analysis
- Geological Studies and Exploration
- Coal and Its By-products
- Mineralogy and Gemology Studies
- Geological formations and processes
- Guidance and Control Systems
- Transport Systems and Technology
- Structural Response to Dynamic Loads
- Military Defense Systems Analysis
- Traditional Chinese Medicine Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Adaptive Control of Nonlinear Systems
- Geochemistry and Elemental Analysis
- COVID-19 Clinical Research Studies
- Wireless Networks and Protocols
- Recycling and utilization of industrial and municipal waste in materials production
- Reservoir Engineering and Simulation Methods
- Fermentation and Sensory Analysis
Zhejiang Lab
2024
Hangzhou Dianzi University
2024
Sichuan University
2023
West China Hospital of Sichuan University
2023
Shanghai Maritime University
2023
Shanghai Public Health Clinical Center
2015-2020
Beijing Jingshida Electromechanical Equipment Research Institute
2017-2019
University of Ottawa
2015-2019
Guizhou Electromechanical Research and Design Institute
2019
Beijing Institute of Technology
2014-2016
// Zongguo Yang 1 , Jianliang Zhang Yunfei Lu Qingnian Xu Bozong Tang Qiang Wang Wensi Shishi Chen Lingqing Xiaorong Shanghai Public Health Clinical Center, Fudan University, 201508, China Correspondence to: Chen, e-mail: xiaorong3chen@163.com Yang, dr_yangzg@aliyun.com Keywords: lymphocyte cell, aspartate aminotransferase-lymphocyte ratio index, systemic immune-inflammation survival, hepatocellular carcinoma Received: August 03, 2015 Accepted: September 16, Published: October ABSTRACT It...
Simulation models with different levels of fidelity have been widely used in engineering design. Even though the nonhierarchical multimodel fusion approach has developed for integrating data from multiple competing low-fidelity and a high-fidelity model, how to allocate samples multifidelity purpose design optimization still remains challenging. In this work, new fusion-based sequential is proposed address issues 1) where space more samples, 2) which model evaluate at chosen infilling sample...
This study investigates the positive effect of two storage temperatures on physicochemical characteristics, texture and structure wampee fruits. The fruits were treated by storing them at low (10°C) room temperature (25°C) for eight days. results showed that low-temperature treatment compared to could reduce fruit decay rate weight loss, inhibit O2− production rate, maintain higher total soluble solids, slower increment in flavonoids phenolics. Principal component analysis (PCA) partial...
This paper describes an integrated Bayesian calibration, bias correction, and machine learning approach to the validation challenge problem posed at Sandia Verification Validation Challenge Workshop, May 7–9, 2014. Three main challenges are recognized as: I—identification of unknown model parameters; II—quantification multiple sources uncertainty; III—validation assessment when there no direct experimental measurements associated with one quantities interest (QoIs), i.e., von Mises stress....
Summary New model fusion techniques based on spatial‐random‐process modeling are developed in this work for combining multi‐fidelity data from simulations and experiments. Existing works generally assume a hierarchical structure which the levels of fidelity simulation models can be clearly ranked. In contrast, we consider nonhierarchical situation one wishes to incorporate multiple whose unknown or cannot differentiated (e.g., if changes over input domain). We propose three new multi‐model...
The classic polynomial chaos method (PCM), characterized as an intrusive methodology, has been applied to uncertainty propagation (UP) in many dynamic systems. However, the (IPCM) requires tedious modification of governing equations, which might introduce errors and can be impractical. Alternative IPCM, non-intrusive (NIPCM) that avoids such modifications developed. In spite frequent application problems, almost all existing works about NIPCM for UP fail elaborate implementation process a...
Model uncertainty is a significant source of epistemic that affects the prediction multidisciplinary system. In order to achieve reliable design, it critical ensure disciplinary/subsystem simulation models are trustworthy, so aggregated system quantities interest (QOIs) acceptable. Reduction model can be achieved by gathering additional experiments and simulations data; however, resource allocation for design optimization (MDO) analysis remains challenging task due complex structure system,...
This study aimed to investigate the efficacy of Traditional Chinese Medicine (TCM) decoction with different intervention timepoints in treatment coronavirus disease 2019 (COVID-19) patients. We retrospectively collected medical records and evaluated outcomes COVID-19 patients that received TCM at timepoints. A total 234 were included this study. Patients who therapy within 3 days or 7 after admission could achieve shorter hospitalization periods compared those [Formula: see text] (all...
To reduce the expenditure, a low-performance guidance and control system is usually employed in design of guided artillery rockets, which however will induce great difficulties trajectory tracking because rocket's parameters vary fast over large operation range. The traditional time invariant approaches for cannot guarantee adaptability controller. On other hand, since routinely considered as independent variable, dynamic error varies sharply, resulting weak anti-jamming capability. address...
The past 15 years have witnessed the rapid development of China’s cruise industry from scratch and formation a policy system in industry, reflecting shift Chinese government’s attitude towards wait-and-see, recognition encouragement to active support. paper conducts statistical analysis 128 policies related issued by administrative departments at all levels. It is found that release synchronizes with each one providing feedback other. do not exhibit time lag respect their effects. evolution...
Epistemic model uncertainty is a significant source of that affects multidisciplinary system. In order to achieve reliable design, it critical ensure the disciplinary/subsystem simulation models are trustworthy, so aggregated system quantities interest (QOIs) acceptable. Uncertainty reduction can be achieved by gathering additional experiments and simulations data; however resource allocation for design optimization (MDO) remains challenging task due complex structure this paper, we develop...