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Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research Article

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Engineering 2021, Volume 7, Issue 12,   Pages 1725-1731 doi: 10.1016/j.eng.2020.05.028

Abstract: amount of high-dimensional data and thus have increased the demand for proper and efficient multivariate regressionTherefore, in this article, we introduce the reduced rank regression method and its extensions, sparsereduced rank regression and subspace assisted regression with row sparsity, which hold potential tomeet the above demands and thus improve the interpretability of regression models.extensions provide valuable guidelines for future omics research, especially with respect to multivariate regression

Keywords： Multivariate regression methods     Reduced rank regression     Sparsity     Dimensionality reduction     Variable    

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Study on Rank Reversals in Liner Allocation Method

Zhang Ling,Zhou Dequn

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 50-53

Abstract:

The problem that the liner allocation method can result in rank reversalconcepts of sorting vectors and their relativity distribute ra tios are proposed to explain the causes of rank

Keywords： decision making     liner allocation method     rank reversal     rank preservation    

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Gold nanoparticles/single-stranded DNA-reduced graphene oxide nanocomposites based electrochemical biosensor

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 6,   Pages 1572-1582 doi: 10.1007/s11705-021-2112-4

Abstract: density and uniform distribution of the gold nanoparticles functionalized single-stranded DNA modified reduceddimensional homogeneity and dispersibility, which could readily combine with single-stranded DNA modified reducedThe modification of single-stranded DNA endowed the reduced graphene oxide with favorable biocompatibilityfurther assembling of gold nanoparticles to obtain gold nanoparticles/single-stranded DNA modified reduced

Keywords： reduced graphene oxide     gold nanoparticles     electrochemical biosensor     cholesterol oxidase     cholesterol    

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Using heterogeneous patent network features to rank and discover influential inventors

Yong-ping DU,Chang-qing YAO,Nan LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 568-578 doi: 10.1631/FITEE.1400394

Abstract: Most classic network entity sorting algorithms are implemented in a homogeneous network, and they are not applicable to a heterogeneous network. Registered patent history data denotes the innovations and the achievements in different research fields. In this paper, we present an iteration algorithm called inventor-ranking, to sort the influences of patent inventors in heterogeneous networks constructed based on their patent data. This approach is a flexible rule-based method, making full use of the features of network topology. We sort the inventors and patents by a set of rules, and the algorithm iterates continuously until it meets a certain convergence condition. We also give a detailed analysis of influential inventor’s interesting topics using a latent Dirichlet allocation (LDA) model. Compared with the traditional methods such as PageRank, our approach takes full advantage of the information in the heterogeneous network, including the relationship between inventors and the relationship between the inventor and the patent. Experimental results show that our method can effectively identify the inventors with high influence in patent data, and that it converges faster than PageRank.

Keywords： Heterogeneous patent network     Influence     Rule-based ranking    

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A critical review of ash slagging mechanisms and viscosity measurement for low-rank coal and bio-slags

Md Tanvir ALAM, Baiqian DAI, Xiaojiang WU, Andrew HOADLEY, Lian ZHANG

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 46-67 doi: 10.1007/s11708-020-0807-8

Abstract: In particular, this paper focuses on low-rank coal and biomass that have been receiving increased attentionand slagging indices can only satisfactorily predict the viscosity and slagging propensity of high-rankcoals but cannot predict the slagging propensity and slag viscosity of low-rank coal, and especiallymethod, which can predict/measure the slagging propensity and slag viscosity correctly for all low-rank

Keywords： slag     viscosity     biomass     low-rank coal     combustion     gasification    

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Study on Rank Preservation of the MCDM With Normalizing Formula

Zhang Ling,Zhou Dequn,Li Hongwei,Zhu Peifeng

Strategic Study of CAE 2006, Volume 8, Issue 12,   Pages 85-88

Abstract: normalizing formula will result in violations of independence from irrelevant alternatives and lead to rankIn the paper, the two methods that improve the original normalizing formula to erase the rank reversal

Keywords： MCDM decision     normalizing     violations of independence from irrelevant alternatives     rank preservation     rank    

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An intuitive general rank-based correlation coefficient Research Articles

Divya PANDOVE, Shivani GOEL, Rinkle RANI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 699-711 doi: 10.1631/FITEE.1601549

Abstract: We propose a predictive metric to calculate correlations between paired values, known as the general rank-basedWe have compared it to Spearman’s rank correlation coefficient.

Keywords： General rank-based correlation coefficient     Multivariate analysis     Predictive metric     Spearman’s rank correlation    

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Superhydrophobic, mechanically flexible and recyclable reduced graphene oxide wrapped sponge for highly

Lijuan Qiu, Ruiyang Zhang, Ying Zhang, Chengjin Li, Qian Zhang, Ying Zhou

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 3,   Pages 390-399 doi: 10.1007/s11705-018-1751-6

Abstract: In this paper, we have prepared a reduced graphene oxide (RGO) wrapped sponge with superhydrophobicity

Keywords： superhydrophobicity     mechanically flexibility     water/oil separation     reduced graphene oxide wrapped sponge    

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Fuzzy Rank Methodology for Risk Assessment of Environmental Pollution Accidents

Xiong Deqi,Chen Gang,Li Qiong

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 46-50

Abstract: factories is a multi-criteria and multi-stage process, and is of relativity and fuzziness, the fuzzy rank

Keywords： pollution accidents     risk     fuzzy     assessment     rank    

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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 198-210 doi: 10.1007/s11708-023-0874-8

Abstract: To address this challenge, a rank-based multiple-choice secretary algorithm (RMSA) was proposed for microgrid

Keywords： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice secretary algorithm    

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Multiple regression models for energy consumption of office buildings in different climates in China

Siyu ZHOU, Neng ZHU

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 103-110 doi: 10.1007/s11708-012-0220-z

Abstract: Then on the basis of the simulated results, the multiple regression models were developed respectivelyAccording to the analysis of regression coefficients, the appropriate building envelope design schemesAt last, the regression model evaluations consisting of the simulation evaluations and the actual caseevaluations were performed to verify the feasibility and accuracy of the regression models.It is believed that the regression models developed in this paper can be used to estimate the energy

Keywords： regression model     energy consumption     building envelope     office building     different climates    

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Multi-effect anthraquinone-based polyimide enclosed SnO/reduced graphene oxide composite as high-performance

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 9,   Pages 1231-1243 doi: 10.1007/s11705-023-2306-z

Abstract: Herein, the SnO2 enclosed with anthraquinone-based polyimide/reduced graphene oxide compositeIn addition, the introduction of reduced graphene oxide cannot only improve the stability of polyimide

Keywords： anthraquinone-based polyimide     multi-effect     tin dioxide     reduced graphene oxide     lithium-ion battery    

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Synthesis of hydrophobic carbon nanotubes/reduced graphene oxide composite films by flash light irradiation

Kai Wang, Jinbo Pang, Liwei Li, Shengzhe Zhou, Yuhao Li, Tiezhu Zhang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 3,   Pages 376-382 doi: 10.1007/s11705-018-1705-z

Abstract: diffraction, infrared spectroscopy and thermogravimetric analysis all indicate that graphene oxides has been reducedcontact angle tests confirm the excellent hydrophobic performances of the synthesized carbon nanotube/reduced

Keywords： carbon nanotubes     graphene composite     flash irradiation method     reduced graphene oxide     contact angles    

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Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 221-236 doi: 10.1007/s11705-021-2061-y

Abstract: Two approaches can be adopted in the estimation of the model parameters: stepwise regression, used inseveral of previous publications, and Lasso regression, which is newly incorporated in this paper forTherefore, DRSM with Lasso regression can provide faster and more accurate data-driven models for a variety

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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Title Author Date Type Operation

Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Journal Article

Study on Rank Reversals in Liner Allocation Method

Zhang Ling,Zhou Dequn

Journal Article

Gold nanoparticles/single-stranded DNA-reduced graphene oxide nanocomposites based electrochemical biosensor

Journal Article

Using heterogeneous patent network features to rank and discover influential inventors

Yong-ping DU,Chang-qing YAO,Nan LI

Journal Article

A critical review of ash slagging mechanisms and viscosity measurement for low-rank coal and bio-slags

Md Tanvir ALAM, Baiqian DAI, Xiaojiang WU, Andrew HOADLEY, Lian ZHANG

Journal Article

Study on Rank Preservation of the MCDM With Normalizing Formula

Zhang Ling,Zhou Dequn,Li Hongwei,Zhu Peifeng

Journal Article

An intuitive general rank-based correlation coefficient

Divya PANDOVE, Shivani GOEL, Rinkle RANI

Journal Article

Superhydrophobic, mechanically flexible and recyclable reduced graphene oxide wrapped sponge for highly

Lijuan Qiu, Ruiyang Zhang, Ying Zhang, Chengjin Li, Qian Zhang, Ying Zhou

Journal Article

Fuzzy Rank Methodology for Risk Assessment of Environmental Pollution Accidents

Xiong Deqi,Chen Gang,Li Qiong

Journal Article

A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Journal Article

Multiple regression models for energy consumption of office buildings in different climates in China

Siyu ZHOU, Neng ZHU

Journal Article

Multi-effect anthraquinone-based polyimide enclosed SnO/reduced graphene oxide composite as high-performance

Journal Article

Synthesis of hydrophobic carbon nanotubes/reduced graphene oxide composite films by flash light irradiation

Kai Wang, Jinbo Pang, Liwei Li, Shengzhe Zhou, Yuhao Li, Tiezhu Zhang

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Journal Article