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Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 675-684 doi: 10.1007/s11684-022-0970-x

Abstract: When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that

Keywords： critical care medicine quality control evaluation exploratory factor analysis (EFA) model

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Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4, Pages 559-568 doi: 10.1007/s11783-012-0400-4

Abstract: Using methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis

Keywords： industrial eco-efficiency data envelopment analysis (DEA) model exploratory spatial data analysis (ESDA

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Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

Vineet JAIN,Tilak RAJ

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3, Pages 218-232 doi: 10.1007/s11465-014-0309-7

Abstract: The purpose of this paper is to make a model and analysis of the productivity variables of FMS.ISM has been used to develop a model of productivity variables, and then it has been analyzed.Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniquesEFA is applied to extract the factors in FMS by the statistical package for social sciences (SPSS 20)SEM using AMOS 20 was used to perform the first order four-factor structures.

Keywords： FMS ISM EFA SEM GTMA

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

Keywords： reliability component failure mode prediction random variable

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A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 877-894 doi: 10.1007/s11709-021-0756-2

Abstract: bridge design specifications consider multi-lane factors (MLFs) a critical component of the traffic load modelTo address this drawback, a multi-coefficient MLF model was developed based on an improved probabilisticThe proposed MLF model and approach were calibrated and demonstrated through an example site.The model sensitivity analysis demonstrated the significant influence of lane disparity of truck traffic

Keywords： bridges multi-lane factor traffic load lane load disparity multi-truck presence weigh-in-motion

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Interactive effects of high-speed rail on nodal zones in a city: exploratory study on China

Guo LIU, Kunhui YE

Frontiers of Engineering Management 2019, Volume 6, Issue 3, Pages 327-335 doi: 10.1007/s42524-019-0051-2

Abstract: This research aims to propose a model for measuring the impact of HSR operation on HSR stations and theThe proposed model is composed of two variables (i.e., transportation situation and vitality) and three

Keywords： high-speed rail nodal zone interactive effects sustainable urbanization China

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A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Basedon Multi-Factor Analysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12, Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract: In this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factoranalysis, adaptive decomposition, and an optimization-based ensemble.Finally, a multi-factor ensemble model for DO is obtained by weighted allocation.Example analysis demonstrates that: ① the proposed model can obtain excellent DO forecasting results;② the proposed model is superior to other comparison models; and ③ the forecasting model can be used

Keywords： Dissolved oxygen concentrations forecasting Time-series multi-step forecasting Multi-factor analysis Empirical wavelet transform decomposition Multi-model optimization ensemble

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Analysis of Influencing Factor of Brand Competitiveness

Bing Hongyan

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 79-83

Abstract: author tries to discuss countermeasures to improve brand competitiveness by analyzing the influencing factor

Keywords： brand competitiveness influencing factor analysis countermeasure

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The formation mechanism and the influence factor of residual stress in machining

Zhaoxu QI,Bin LI,Liangshan XIONG

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3, Pages 265-269 doi: 10.1007/s11465-014-0311-0

Abstract: The paper presents a method of theoretical analysis in order to explicate the formation mechanism ofAn important conclusion is drawn that the accumulated plastic strain is the main factor which determinesOn the basis of the analytical model for residual stress, a series of simulations for residual stress

Keywords： residual stress analytical model strain plastic cutting parameter

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Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1, Pages 123-126 doi: 10.1007/s11709-019-0582-y

Abstract: Hence, in this study, factor analysis was performed and the frequency distribution method was employed

Keywords： earthquake factor analysis slope landslides statistical modeling

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Regional characteristics of industrial energy efficiency in China: application of stochastic frontier analysis

Tao HUANG,Akio ONISHI,Feng SHI,Masafumi MORISUGI,Mjo Lwin CHERRY

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3, Pages 506-521 doi: 10.1007/s11783-014-0656-y

Abstract: This paper analyzed regional industrial energy efficiency in China with Total-Factor Energy Efficiencyenergy intensity, which is defined as the ratio of actual output to energy input, is regarded as Single-FactorFinally, we identified determining factors affecting industrial energy efficiency using Tobit model.

Keywords： industrial energy efficiency stochastic frontier analysis total-factor energy efficiency single factor

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Multivariable regression model for Fox depth correction factor

Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 103-109 doi: 10.1007/s11709-018-0474-6

Abstract: This paper presents a simple and efficient equation for calculating the Fox depth correction factor usedClassical solution of Boussinesq theory was used originally to develop the Fox depth correction factorreferred in various international code of practices and standard texts for an unsophisticated and quick analysishence again complicates the process of automation of analysis.Therefore, this paper presents a non-linear regression model for the analysis of effect of embedment

Keywords： settlement embedment Fox depth correction factor regression multivariable

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Effect of interface adhesion factor on the bearing capacity of strip footing placed on cohesive soil

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1494-1503 doi: 10.1007/s11709-021-0768-y

Abstract: Therefore, by implementing the lower bound finite element limit analysis in conjunction with the second-orderBy considering the different values of interface adhesion factor (α_cr) between thesoil and rock mass, the ultimate bearing capacity of strip footing is expressed in terms of influence factorby using Mohr−Coulomb yield criterion, whereas Generalized Hoek−Brown yield criterion is utilized to model

Keywords： bearing capacity soil-rock interface Hoek−Brown yield criterion plasticity limit analysis

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A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor

Chen Qian, Wei Chen, Wei-Hua Li, Han-Qing Yu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0962-2

Abstract: Fluorescence excitation-emission matrix (EEM) in combination with parallel factor analysis (PARAFAC)However, a recent work has revealed the drawback of PARAFAC analysis, i.e., overestimating the componentA novel method, parallel factor framework-clustering analysis (PFFCA), has been developed in our earlier

Keywords： Wastewater treatment plants (WWTPs) Excitation-emission matrix (EEM) Parallel factor (PARAFAC) Parallelfactor framework-clustering analysis (PFFCA)

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: The decision tree model was built using the content elements stored in the SCD, design companies, bridgeThe inverse-calculation method was applied to extract the weight factors from the decision tree model

Keywords： structural calculation document bridge structure XML Schema matching weight factor data mining decisiontree model

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Title Author Date Type Operation

Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU

Journal Article

Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

Vineet JAIN,Tilak RAJ

Journal Article

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Journal Article

Interactive effects of high-speed rail on nodal zones in a city: exploratory study on China

Guo LIU, Kunhui YE

Journal Article

A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Basedon Multi-Factor Analysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Analysis of Influencing Factor of Brand Competitiveness

Bing Hongyan

Journal Article

The formation mechanism and the influence factor of residual stress in machining

Zhaoxu QI,Bin LI,Liangshan XIONG

Journal Article

Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Journal Article

Regional characteristics of industrial energy efficiency in China: application of stochastic frontier analysis