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Machine perfusion versus cold storage of livers: a meta-analysis

Sushun Liu,Qing Pang,Jingyao Zhang,Mimi Zhai,Sinan Liu,Chang Liu

Frontiers of Medicine 2016, Volume 10, Issue 4,   Pages 451-464 doi: 10.1007/s11684-016-0474-7

Abstract: outcomes of experimental models receiving donation after cardiac death (DCD) livers preserved through machineperfusion (MP) or static cold storage (CS) were compared by conducting a meta-analysis.

Keywords： machine perfusion     cold storage     DCD     meta-analysis    

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Machine Perfusion Plus for Extended Criteria Donor Liver Grafts: Making Every Liver Count Review

Zhoucheng Wang, Jack Martin, Jiongjie Yu, Kai Wang, Kourosh Saeb-Parsy, Xiao Xu

Engineering 2024, Volume 32, Issue 1,   Pages 30-41 doi: 10.1016/j.eng.2023.11.003

Abstract: Machine perfusion (MP) was designed to improve organ preservation and reduce posttransplant complicationshas thus been placed on modified MP strategies, including the use of different perfusates, modified perfusion

Keywords： Liver transplantation     Extended criteria donor     Machine perfusion plus     Organ shortage    

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Simultaneous acquisition of CT angiography and whole brain CT perfusion images by using multiphase dynamic

Weiwei CHEN, Jianpin QI, Wenzhen ZHU, Wenhua HUANG, Jinmei SONG

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 230-235 doi: 10.1007/s11684-009-0023-8

Abstract: a new protocol — multiphase dynamic helical scan to acquire CT angiography (CTA) and whole brain CT perfusion

Keywords： computed tomography angiography     computed tomography perfusion    

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Dimensional synthesis of a novel 5-DOF reconfigurable hybrid perfusion manipulator for large-scale sphericalhoneycomb perfusion

Hui YANG, Hairong FANG, Yuefa FANG, Xiangyun LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 46-60 doi: 10.1007/s11465-020-0606-2

Abstract: A novel hybrid perfusion manipulator (HPM) with five degrees of freedom (DOFs) is introduced by combiningspherical joint, respectively) parallel mechanism with the 5PRR reconfigurable base to enhance the perfusion

Keywords： 5-DOF hybrid manipulator     reconfigurable base     large workspace     dimensional synthesis     optimal design    

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Evaluation of the effect of myocardial perfusion after percutaneous coronary intervention in coronary

WANG Hong, HUANG Lan, JIN Jun, SONG Yaoming, GENG Zhaohua, YU Xuejun, QIN Jun, ZHAO Gang, GAO Yunhua, LIU Zheng

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 62-67 doi: 10.1007/s11684-007-0013-7

Abstract: Detection of abnormal myocardial perfusion is crucial to the prognosis of patients with coronary arteryThe objective of this study is to evaluate the effect of myocardial perfusion by three different methodsand to determine the value of these different methods in the evaluation of the effect of myocardial perfusionFor those patients with acute or total occlusion, the levels of myocardial perfusion before and after
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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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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

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1721-1

Abstract:

● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.

Keywords： Elemental composition     Infrared spectroscopy     Machine learning     Moisture interference     Solid waste     Spectral    

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State-of-the-art applications of machine learning in the life cycle of solid waste management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x

Abstract:

● State-of-the-art applications of machine learning (ML) in solid waste

Keywords： Machine learning (ML)     Solid waste (SW)     Bibliometrics     SW management     Energy utilization     Life cycle    

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: Using machine vision technology to complete the location mission is new and very efficient.This paper presents an integrated visual location system for solder paste printing based on machine vision

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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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

Abstract:

● A novel integrated machine learning method to analyze O3

Keywords： Ozone     Integrated method     Machine learning    

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Evaluation and prediction of slope stability using machine learning approaches

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 821-833 doi: 10.1007/s11709-021-0742-8

Abstract: In this paper, the machine learning (ML) model is built for slope stability evaluation and meets the

Keywords： slope stability     factor of safety     regression     machine learning     repeated cross-validation    

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Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe SVM, a novel learning machine based on statistical theory, uses structural risk minimization (SRM

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

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Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: exploration of the design variable space for such scenarios, an adaptive sampling technique based on machine

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: advanced data processing, storage and analysis, advanced process control, artificial intelligence and machineExploitation of the information contained in these data requires the use of advanced machine learning

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

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Title Author Date Type Operation

Machine perfusion versus cold storage of livers: a meta-analysis

Sushun Liu,Qing Pang,Jingyao Zhang,Mimi Zhai,Sinan Liu,Chang Liu

Journal Article

Machine Perfusion Plus for Extended Criteria Donor Liver Grafts: Making Every Liver Count

Zhoucheng Wang, Jack Martin, Jiongjie Yu, Kai Wang, Kourosh Saeb-Parsy, Xiao Xu

Journal Article

Simultaneous acquisition of CT angiography and whole brain CT perfusion images by using multiphase dynamic

Weiwei CHEN, Jianpin QI, Wenzhen ZHU, Wenhua HUANG, Jinmei SONG

Journal Article

Dimensional synthesis of a novel 5-DOF reconfigurable hybrid perfusion manipulator for large-scale sphericalhoneycomb perfusion

Hui YANG, Hairong FANG, Yuefa FANG, Xiangyun LI

Journal Article

Evaluation of the effect of myocardial perfusion after percutaneous coronary intervention in coronary

WANG Hong, HUANG Lan, JIN Jun, SONG Yaoming, GENG Zhaohua, YU Xuejun, QIN Jun, ZHAO Gang, GAO Yunhua, LIU Zheng

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Journal Article

State-of-the-art applications of machine learning in the life cycle of solid waste management

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Journal Article

Evaluation and prediction of slope stability using machine learning approaches

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article