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Investigating the effect of online and offline reputation on the provision of online counseling services

Frontiers of Engineering Management   Pages 563-576 doi: 10.1007/s42524-022-0198-0

Abstract: The objective of our study is to explore the factors motivating Chinese physicians to provide onlinehealth counseling services from the perspectives of their online and offline reputation.Based on the reputation theory and previous studies, we incorporate patients’ feedback as physicians’ onlineResults show that physicians’ online reputation significantly and positively influence their online counselingbehaviors, whereas physicians’ offline reputation significantly and negatively influence their online

Keywords： Internet hospitals     physicians’ online counseling     online reputation     offline reputation    

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The CatMath: an online predictive platform for thermal + electrocatalysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 2156-2160 doi: 10.1007/s11705-023-2371-3

Abstract: Herein, we introduce the CatMath—an online platform for generating a variety of common and industriallyBesides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface

Keywords： CatMath     catalysis     volcano activity plots     Surface Pourbaix Diagrams     online platform    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: The large-scale online supermarket is a newly emerging online retailing mode which brings great convenienceOnline supermarkets are characterized by having large amounts of daily orders with potentially multiplesplitting result in high cost and disturbance and a large number of discarded consumable packages at onlinefulfilment is critical for the advancement of the practice and theory in the context of highly complex onlineThe purpose of this article is to help pave the way for more effective online supermarket management

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 24-31 doi: 10.1007/s11684-019-0679-7

Abstract: Immune checkpoint inhibitors are a promising strategy in the treatment of cancer, especially advanced types. However, not all patients are responsive to immune checkpoint inhibitors. The response rate depends on the immune microenvironment, tumor mutational burden (TMB), expression level of immune checkpoint proteins, and molecular subtypes of cancers. Along with the Cancer Genome Project, various open access databases, including The Cancer Genome Atlas and Gene Expression Omnibus, provide large volumes of data, which allow researchers to explore responsive or resistant biomarkers of immune checkpoint inhibitors. In this review, we introduced some methodologies on database selection, biomarker screening, current progress of immune checkpoint blockade in solid tumor treatment, possible mechanisms of drug resistance, strategies of overcoming resistance, and indications for immune checkpoint inhibitor therapy.

Keywords： immune checkpoint blockade     sensitivity     resistance     data mining    

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Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 214-226 doi: 10.15302/J-FEM-2017022

Abstract: , the execution time of these MINLP models remains prohibitively long to control emissions with our onlineThe first objective of this study is to present a new model that decreases the execution time of our onlineThe execution time never exceeded 1 s, which allows the online regulation of emissions the same way as

Keywords： emissions     reformulated gasoline     online control     global optimization    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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Quality and readability of online information resources on insomnia

Yan Ma, Albert C. Yang, Ying Duan, Ming Dong, Albert S. Yeung

Frontiers of Medicine 2017, Volume 11, Issue 3,   Pages 423-431 doi: 10.1007/s11684-017-0524-9

Abstract: An increasing number of people, including patients with insomnia, search for remedies online; howeverThis study aimed to evaluate the quality and readability of insomnia-related online information.Concerns that must be addressed to increase the quality and trustworthiness of online health information

Keywords： insomnia     internet     readability     information quality     health literacy     cognitive behavioral therapy     treatment    

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Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine

ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 322-326 doi: 10.1007/s11708-007-0047-1

Abstract: be used not only to analyze the rotor’s thermal states of turbine, but to monitor and control them online
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Study of online balancing control technique for high-speed spindles

Zhang Yun,Mei Xuesong

Strategic Study of CAE 2013, Volume 15, Issue 1,   Pages 87-92

Abstract:

To solve the problem of online automatic balance control of machine tool spindle, the balancingmethods and the automatic balancing technologies were discussed in this paper, and then an online

Keywords： high-speed spindle     online balancing     vibration control    

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A Non-Contact Original-State Online Real-Time Monitoring Method for Complex Liquids in Industrial Processes Article

Ning Duan, Linhua Jiang, Fuyuan Xu, Ge Zhang

Engineering 2018, Volume 4, Issue 3,   Pages 392-397 doi: 10.1016/j.eng.2018.05.005

Abstract:

Failures are very common during the online real-time monitoring of large quantities of complex liquidsIn this study, we introduce a monitoring method capable of non-contact original-state online real-timeUnlike traditional monitoring methods and existing online monitoring methods, the proposed method doesreduction, addition of chromogenic agent, constant volume, etc.), and it is capable of originalstate online

Keywords： Complex liquid     Original-state monitoring     Online real-time     Non-contact identification    

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A prototype online database-enabled design framework for wind analysis/design of low-rise buildings

Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 121-130 doi: 10.1007/s11709-015-0329-3

Abstract: addition, this new automated approach is particularly attractive and advantageous as it allows a web-based online

Keywords： wind loads     low-rise building     pressure measurement     aerodynamics     building design     structural response     building codes     information technology (IT)    

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A Multi-Objective Optimal Experimental Design Framework for Enhancing the Efficiency of Online Model Article

Arun Pankajakshan, Conor Waldron, Marco Quaglio, Asterios Gavriilidis, Federico Galvanin

Engineering 2019, Volume 5, Issue 6,   Pages 1049-1059 doi: 10.1016/j.eng.2019.10.003

Abstract: work, a multiobjective optimal experimental design framework is proposed to enhance the efficiency of onlinepermits flexibility in the choice of trade-off experimental design solutions, which are calculated onlineThe application of this framework to improve the online identification of kinetic models in flow reactors

Keywords： Multi-objective optimization     Optimal design of experiments     Online    

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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives.In this paper, a novel modified neural algorithm has been identified for the online estimation of rotor

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

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Online Monitoring of Welding Status Based on a DBN Model During Laser Welding Article

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Engineering 2019, Volume 5, Issue 4,   Pages 671-678 doi: 10.1016/j.eng.2019.01.016

Abstract:

In this research, an auxiliary illumination visual sensor system, an ultraviolet/visible (UVV) band visual sensor system (with a wavelength less than 780 nm), a spectrometer, and a photodiode are employed to capture insights into the high-power disc laser welding process. The features of the visible optical light signal and the reflected laser light signal are extracted by decomposing the original signal captured by the photodiode via the wavelet packet decomposition (WPD) method. The captured signals of the spectrometer mainly have a wavelength of 400–900 nm, and are divided into 25 sub-bands to extract the spectrum features by statistical methods. The features of the plume and spatters are acquired by images captured by the UVV visual sensor system, and the features of the keyhole are extracted from images captured by the auxiliary illumination visual sensor system. Based on these real-time quantized features of the welding process, a deep belief network (DBN) is established to monitor the welding status. A genetic algorithm is applied to optimize the parameters of the proposed DBN model. The established DBN model shows higher accuracy and robustness in monitoring welding status in comparison with a traditional back-propagation neural network (BPNN) model. The effectiveness and generalization ability of the proposed DBN are validated by three additional experiments with different welding parameters.

 

Keywords： Online monitoring     Multiple sensors     Wavelet packet decomposition     Deep belief network    

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Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1647-1656 doi: 10.1631/FITEE.2300348

Abstract: The performance of existing maneuvering methods for highly maneuvering targets in cluttered environments is unsatisfactory. This paper proposes a hybrid-driven approach for tracking multiple highly maneuvering targets, leveraging the advantages of both and model-based algorithms. The time-varying constant velocity model is integrated into the (GP) of to improve the performance of GP prediction. This integration is further combined with a generalized algorithm to realize multi-. Through the simulations, it has been demonstrated that the hybrid-driven approach exhibits significant performance improvements in comparison with widely used algorithms such as the interactive multi-model method and the GP motion tracker.

Keywords： Target tracking     Gaussian process     Data-driven     Online learning     Model-driven     Probabilistic data association    

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Title Author Date Type Operation

Investigating the effect of online and offline reputation on the provision of online counseling services

Journal Article

The CatMath: an online predictive platform for thermal + electrocatalysis

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

Journal Article

Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

Quality and readability of online information resources on insomnia

Yan Ma, Albert C. Yang, Ying Duan, Ming Dong, Albert S. Yeung

Journal Article

Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine

ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng

Journal Article

Study of online balancing control technique for high-speed spindles

Zhang Yun,Mei Xuesong

Journal Article

A Non-Contact Original-State Online Real-Time Monitoring Method for Complex Liquids in Industrial Processes

Ning Duan, Linhua Jiang, Fuyuan Xu, Ge Zhang

Journal Article

A prototype online database-enabled design framework for wind analysis/design of low-rise buildings

Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA

Journal Article

A Multi-Objective Optimal Experimental Design Framework for Enhancing the Efficiency of Online Model

Arun Pankajakshan, Conor Waldron, Marco Quaglio, Asterios Gavriilidis, Federico Galvanin

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

Online Monitoring of Welding Status Based on a DBN Model During Laser Welding

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Journal Article

Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Journal Article