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Ruochen Huang,Zhiyuan Wei,Wei Feng,Yong Li,Changwei Zhang,Chen Qiu,Mingkai Chen 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.4
As 5G and AI continue to develop, there has been a significant surge in the healthcare industry. The COVID-19 pandemic has posed immense challenges to the global health system. This study proposes an FL-supported edge computing model based on federated learning (FL) for predicting clinical outcomes of COVID-19 patients during hospitalization. The model aims to address the challenges posed by the pandemic, such as the need for sophisticated predictive models, privacy concerns, and the non-IID nature of COVID-19 data. The model utilizes the FATE framework, known for its privacy-preserving technologies, to enhance predictive precision while ensuring data privacy and effectively managing data heterogeneity. The model's ability to generalize across diverse datasets and its adaptability in real-world clinical settings are highlighted by the use of SHAP values, which streamline the training process by identifying influential features, thus reducing computational overhead without compromising predictive precision. The study demonstrates that the proposed model achieves comparable precision to specific machine learning models when dataset sizes are identical and surpasses traditional models when larger training data volumes are employed. The model's performance is further improved when trained on datasets from diverse nodes, leading to superior generalization and overall performance, especially in scenarios with insufficient node features. The integration of FL with edge computing contributes significantly to the reliable prediction of COVID-19 patient outcomes with greater privacy. The research contributes to healthcare technology by providing a practical solution for early intervention and personalized treatment plans, leading to improved patient outcomes and efficient resource allocation during public health crises.
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Lingwei Li,Shaolin Xue,Pei Xie,Hange Feng,Xin Hou,Zhiyuan Liu,Zhuoting Xu,Rujia Zou 대한금속·재료학회 2018 ELECTRONIC MATERIALS LETTERS Vol.14 No.6
ZnS nanowalls, microspheres and rice-shaped nanoparticles have been successfully grown on graphene oxide (GO) sheets bythe hydrothermal method. The morphologies, structures, chemical compositions and optical properties of the as-synthesizedGO/ZnS have been characterized by X-ray power diff raction, energy dispersive spectrometer, scanning electron microscope,Raman spectra, photoluminescence spectroscopy and ultraviolet–visible absorption spectroscopy. It was found that theconcentration of CTAB and the reaction temperature were important in the formation of GO/ZnS microstructures. The photocatalyticactivity of the as-synthesized GO/ZnS was investigated through the photocatalytic degradation of textile dyeingwaste. Results showed that the catalytic activity of the GO/ZnS porous spheres to methyl orange and methylene blue is higherthan those of other samples. The degradation rates of methyl orange and methylene blue by porous spheres in 50 min were97.6 and 97.1%, respectively. This is mainly attributed to the large specifi c surface area of GO/ZnS porous spheres and highseparation effi ciency between photogenerated electron and hole pairs.
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Engineering of a Bacillus subtilis Strain Deficient in Cellulase: Application in Degumming of Ramie
Qi Yang,Shengwen Duan,Lifeng Cheng,Xiangyuan Feng,Ke Zheng,Chunliang Xie,Zhiyuan Liu,Yuande Peng 한국섬유공학회 2019 Fibers and polymers Vol.20 No.1
Degumming is the most important step before ramie fibers are used in textile industry. Conventional chemical degumming technology with alkaline treatment at high temperature causes critical problems in environment. In addition to multiple degumming enzymes (e.g. pectinases and xylanases), Bacillus subtilis strain 168 can also produce cellulase which brings irreversible damage to ramie fibers. In this study, a strain deficient in cellulase was constructed by insertional inactivation of gene eglS to make it suitable for microbial degumming. Results showed that the cellulase activity was not detected in strain ΔeglS, after 25 h of incubation with strain ΔeglS, the weight loss of the ramie fibers was 20.20 %. Though the residual gum content of ramie fibers obtained in microbial degumming process was 19.67 %, microbial intervention followed by diluted alkaline solution treatment showed lower residual gum content (2.73 %) than chemical degumming (2.96 %). The single fiber breaking strength value of ramie fibers from bio-chemical degumming process reached 27.19 cN, which was the highest of three samples. Moreover, bio-chemical degumming process resulted in a 75 % decrease of alkali dosage as compared with chemical degumming process. This study provides a suggestion to genetically modify wild-type strain in order to protect ramie fibers from cellulase damage, and indicates a sustainable alternative for the traditional chemical degumming in the textile industry.
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Zhengyi Xu,Pengyuan Zhang,Bo Zhang,Bing Lei,Zhiyuan Feng,Junyi Wang,Yawei Shao,Guozhe Meng,Yanqiu Wang,Fuhui Wang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-
In this work, electrochemical hydrogen permeation tests were carried out to obtain the steady-statehydrogen permeation current of X70 pipeline steel in acid environment and alkaline electrolyte withapplied cathodic overpotentials simulating the service conditions of pipelines. It is shown that Lamicroalloyingcan efficiently reduce the steady-state hydrogen permeation current density while maintainingthe same mechanical performance. The experimental permeation data were fitted with Iyer-Pickering-Zamanzadeh (IPZ) and surface effect model to analyze the inhibitive mechanism on hydrogenpermeation, and the results depicted that La element on the material surface greatly facilitates the desorptionprocess of hydrogen atoms. In addition, the calculated hydrogen diffusion coefficient was foundsmaller after La microalloyed, which can be ascribed to the larger hydrogen trap density. It is suggestedthat La-microalloying can mitigate hydrogen damage of X70 pipeline steel in both acidic environment orunder cathodic protection.
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