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Xiaoming Yuan,Jiahui Chen,Ning Zhang,Qiang Ye,Changle Li,Chunsheng Zhu,Xuemin Sherman Shen,
Engineering doi: 10.1016/j.eng.2023.04.015
Keywords: Knowledge sharing Internet of Vehicles Federated learning Broad learning Reconfigurable intelligent surfaces
Rapid and long-effective removal of broad-spectrum pollutants from aqueous system by ZVI/oxidants
Sana Ullah, Xuejun Guo, Xiaoyan Luo, Xiangyuan Zhang, Siwen Leng, Na Ma, Palwasha Faiz
Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 5, doi: 10.1007/s11783-020-1268-3
Keywords: Zero-Valent Iron (ZVI) Oxidants Heavy Metals (HMs) Metalloids Nitrate Phosphate
Ram Prasad Aganja, Amal Senevirathne, Chandran Sivasankar, John Hwa Lee
Engineering 2024, Volume 32, Issue 1, Pages 42-57 doi: 10.1016/j.eng.2023.08.001
A universal vaccine is in high demand to address the uncertainties of antigenic drift and the reduced effectiveness of current influenza vaccines. In this study, a strategy called computationally optimized broadly reactive antigen (COBRA) was used to generate a consensus sequence of the hemagglutinin globular head portion (HA1) of influenza virus samples collected from 1918 to 2021 to trace evolutionary changes and incorporate them into the designed constructs. Constructs carrying different HA1 regions were delivered into eukaryotic cells by Salmonella-mediated bactofection using a Semliki Forest virus RdRp-dependent eukaryotic expression system, pJHL204. Recombinant protein expression was confirmed by Western blot and immunofluorescence assays. Mice immunized with the designed constructs produced a humoral response, with a significant increase in immunoglobulin G (IgG) levels, and a cell-mediated immune response, including a 1.5-fold increase in CD4+ and CD8+ T cells. Specifically, constructs #1 and #5 increased the production of interferon-γ (IFN-γ) producing CD4+ and CD8+ T cells, skewing the response toward the T helper type 1 cell (Th1) pathway. Additionally, interleukin-4 (IL-4)-producing T cells were upregulated 4-fold. Protective efficacy was demonstrated, with up to 4-fold higher production of neutralizing antibodies and a hemagglutination inhibition titer > 40 against the selected viral strains. The designed constructs conferred a broadly protective immune response, resulting in a notable reduction in viral titer and minimal inflammation in the lungs of mice challenged with the influenza A/PR8/34, A/Brisbane/59/2007, A/California/07/2009, KBPV VR-92, and NCCP 43021 strains. This discovery revolutionizes influenza vaccine design and delivery; Salmonella-mediated COBRA-HA1 is a highly effective in vivo antigen presentation strategy. This approach can effectively combat seasonal H1N1 influenza strains and potential pandemic outbreaks.
Keywords: COBRA Influenza A Salmonella Vaccine Broad spectral protection
High risk factors for pulmonary fungous infection in intensive care units of neurosurgery
ZHU Wenyu, TAN Liping, CHEN Xiangfeng, HUANG Qiang, LAN Qing
Frontiers of Medicine 2007, Volume 1, Issue 3, Pages 299-303 doi: 10.1007/s11684-007-0057-8
Keywords: seventeen incidence glucocorticoid broad-spectrum antibiotic Candidiasis
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
Keywords: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil
Keywords: Soil contamination Machine learning Prediction Spatial distribution
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5
● A novel integrated machine learning method to analyze O3
Keywords: Ozone Integrated method Machine learning
Machine learning in building energy management: A critical review and future directions
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 239-256 doi: 10.1007/s42524-021-0181-1
Keywords: building energy management machine learning integrated framework knowledge evolution
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 183-197 doi: 10.1007/s11705-021-2073-7
Keywords: machine learning flowsheet simulations constraints exploration
Machine learning for fault diagnosis of high-speed train traction systems: A review
Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2
Keywords: high-speed train traction systems machine learning fault diagnosis
Consideration on Developing Mobile Satellite Communication
Zhang Naitong,Zhang Zhongzhao,Chu Haibin,Liu Huijie
Strategic Study of CAE 2002, Volume 4, Issue 10, Pages 11-16
Three kinds of international constellation communication system are introduced in this paper, and the constitution, configuration, function, and existing problems of some representative systems are analyzed. The paper discusses the development and trend of the satellite communication system, and then some viewpoints on developing mobile satellite communication system are put forward.
Keywords: mobile satellite communication constellation communication system broad band service
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Frontiers of Structural and Civil Engineering Pages 994-1010 doi: 10.1007/s11709-023-0942-5
Keywords: dynamic prediction moving trajectory pipe jacking GRU deep learning
Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature
Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 768-780 doi: 10.1007/s11684-023-0982-1
Keywords: machine learning methods hypertrophic cardiomyopathy genetic risk
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7
Keywords: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Automated synthesis of steady-state continuous processes using reinforcement learning
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 288-302 doi: 10.1007/s11705-021-2055-9
Keywords: automated process synthesis flowsheet synthesis artificial intelligence machine learning reinforcementlearning
Title Author Date Type Operation
Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of
Xiaoming Yuan,Jiahui Chen,Ning Zhang,Qiang Ye,Changle Li,Chunsheng Zhu,Xuemin Sherman Shen,
Journal Article
Rapid and long-effective removal of broad-spectrum pollutants from aqueous system by ZVI/oxidants
Sana Ullah, Xuejun Guo, Xiaoyan Luo, Xiangyuan Zhang, Siwen Leng, Na Ma, Palwasha Faiz
Journal Article
Salmonella-Delivered COBRA-HA1 Antigen Derived from H1N1 Hemagglutinin Sequences Elicits Broad-Spectrum
Ram Prasad Aganja, Amal Senevirathne, Chandran Sivasankar, John Hwa Lee
Journal Article
High risk factors for pulmonary fungous infection in intensive care units of neurosurgery
ZHU Wenyu, TAN Liping, CHEN Xiangfeng, HUANG Qiang, LAN Qing
Journal Article
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Journal Article
Machine learning in building energy management: A critical review and future directions
Journal Article
Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet
Journal Article
Consideration on Developing Mobile Satellite Communication
Zhang Naitong,Zhang Zhongzhao,Chu Haibin,Liu Huijie
Journal Article
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article
Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article