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Estimating the effects of meteorology on PM

Liu YANG, Ye WU, Jerry M. DAVIS, Jiming HAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3, Pages 331-341 doi: 10.1007/s11783-011-0307-5

Abstract: In this work, a multiple linear regression model based on continuous field monitoring at a roadside site

Keywords： meteorology emission control measures Beijing Olympic Games PM_2.5 linear statistical models

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Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorptionkinetic models for the removal of methylene blue by activated carbon

Junxiong LIN , Lan WANG ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3, Pages 320-324 doi: 10.1007/s11783-009-0030-7

Abstract: The best-fit equations of linear and non-linear forms of the two widely used kinetic models, namely pseudo-first-orderThe results show that the non-linear forms of pseudo-first-order and pseudo-second-order models weremore suitable than the linear forms for fitting the experimental data.The experimental kinetics may have been distorted by linearization of the linear kinetic equations, andthus, the non-linear forms of kinetic equations should be primarily used to obtain the adsorption parameters

Keywords： adsorption pseudo-first order pseudo-second order kinetic model linear method non-linear method

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Enhanced empirical models for predicting the drift capacity of less ductile RC columns with flexural,

Mohammad Reza AZADI KAKAVAND, Reza ALLAHVIRDIZADEH

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5, Pages 1251-1270 doi: 10.1007/s11709-019-0554-2

Abstract: the equations for predicting the drift capacity of RC columns by different regression analyses (both lineardetermined for comparing the obtained results with the experimental results and with previously proposed modelswhich are in better agreement with experimental results than those computed by previously published models

Keywords： flexural-shear-axial failure drift capacity reinforced concrete columns statistical analysis fragility

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SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1, Pages 185-198 doi: 10.1007/s11709-019-0591-x

Abstract: With this study, along with the conventional methods of simple and multiple linear regression models,three machine learning algorithms, random forest, gradient boosting and stacked models, are developedThese models are employed on a relatively large data set from different projects around Turkey coveringAs an improvement over the available studies in literature, this study utilizes correct statistical analysesFurthermore, the validity and consistency of the prediction results are ensured with the correct use of statistical

Keywords： undrained shear strength linear regression random forest gradient boosting machine learning standard

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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2, Pages 177-187 doi: 10.15302/J-FASE-2017177

Abstract: To improve the accuracy of runoff forecasting, an uncertain multiple linear regression (UMLR) model is

Keywords： inexact two-stage stochastic programming runoff forecasting Shiyang River Basin uncertain multiple linear

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Option-like properties in the distribution of hedge fund returns

Katharina DENK, Ben DJERROUD, Luis SECO, Mohammad SHAKOURIFAR, Rudi ZAGST

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 275-286 doi: 10.1007/s42524-020-0095-3

Abstract: investigates two different model approaches for the equity long/short strategy, where weighted segmented linearregression models are employed and combined with two-state Markov switching models.

Keywords： hedge funds hedge fund index segmented linear regression models regime-switching models mimicking portfolios

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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: landslides cannot be predicted in advance using real-time monitoring systems, and the development of the models

Keywords： earthquake factor analysis slope landslides statistical modeling

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Design and analysis of linear oscillating motor for linear pump application-magnetic field, dynamics

Zongxia JIAO,Tianyi WANG,Liang YAN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4, Pages 351-362 doi: 10.1007/s11465-016-0407-9

Abstract:

A linear oscillating motor is an electromagnetic actuator that can achieve short-stroke reciprocatingIt has been widely used in linear pump applications as the source of power and motion.However, because of the demand of high power density in a linear actuation system, the performance oflinear oscillating motors has been the focus of studies and deserves further research for high powerlinear pump applications.

Keywords： linear oscillating motor linear pump magnetic field motor optimization

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Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2, Pages 203-207 doi: 10.1007/s11684-011-0138-6

Abstract: Some statistical problems are raised based on these features.First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional

Keywords： traditional Chinese therapeutics feature statistic

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Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 102-110 doi: 10.1007/s11684-013-0245-7

Abstract: Recently, a number of new statistical methods have been developed to tackle the important problem of

Keywords： dynamic treatment regimes personalized medicine reinforcement learning Q-learning

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Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3, Pages 268-278 doi: 10.15302/J-FASE-2017164

Abstract: This review covers the most commonly used statistical methods and some extensions of them, i.e., ridgeregression and genomic best linear unbiased prediction, Bayesian alphabet, and least absolute shrinkage

Keywords： genomic estimated breeding value genomic selection linkage disequilibrium statistical methods

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Optimal Antibody Purification Strategies Using Data-Driven Models Article

Songsong Liu, Lazaros G. Papageorgiou

Engineering 2019, Volume 5, Issue 6, Pages 1077-1092 doi: 10.1016/j.eng.2019.10.011

Abstract: Data-driven models of chromatography throughput are developed considering loaded mass, flow velocity,The piecewise linear regression modeling method is adapted due to its simplicity and better predictionTwo alternative mixed-integer nonlinear programming (MINLP) models are proposed to minimize the totalcost of goods per gram of the antibody purification process, incorporating the data-driven models.These MINLP models are then reformulated as mixed-integer linear programming (MILP) models using linearization

Keywords： Multiscale optimization Antigen-binding fragment Mixed-integer programming Data-driven model Piecewise linear

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: been gradually employed to increase the automation and intelligence degree in quality control using statistical

Keywords： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6, Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate statistical

Keywords： Xin'anjiang River multivariable statistical analysis temporal variation spatial variation water quality

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A review on different theoretical models of electrocaloric effect for refrigeration

Frontiers in Energy 2023, Volume 17, Issue 4, Pages 478-503 doi: 10.1007/s11708-023-0884-6

Abstract: This paper reviews the electrocaloric effect of ferroelectric materials based on different theoretical models

Keywords： electrocaloric effect effective Hamiltonian phase-field modeling different theoretical models

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Title Author Date Type Operation

Estimating the effects of meteorology on PM

Liu YANG, Ye WU, Jerry M. DAVIS, Jiming HAO

Journal Article

Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorptionkinetic models for the removal of methylene blue by activated carbon

Junxiong LIN , Lan WANG ,

Journal Article

Enhanced empirical models for predicting the drift capacity of less ductile RC columns with flexural,

Mohammad Reza AZADI KAKAVAND, Reza ALLAHVIRDIZADEH

Journal Article

SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Journal Article

Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Journal Article

Option-like properties in the distribution of hedge fund returns