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Journal Article 24

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Keywords

original position statistic distribution analysis 3

inclusion 2

rank preservation 2

rank reversal 2

17β-estradiol (E2) 1

W-statistic 1

AZTI’s Marine Biotic Index 1

Beamforming 1

Bohai Bay (China) 1

Dimensionality reduction 1

General rank-based correlation coefficient 1

General-rank 1

Heterogeneous patent network 1

Influence 1

Kolmogorov-Smirnov statistic 1

Kullback-Leibler divergence 1

Learning to rank 1

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Changes in hourly precipitation may explain the sharp reduction of discharge in the middle reach of the Yellow River after 2000

Lin LUO, Zhongjing WANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 756-768 doi: 10.1007/s11783-013-0563-7

Abstract: The Mann-Kendall trend test was applied to detect the presence and significance of monotonic trends,

Keywords： precipitation intensity     Mann-Kendall rank statistic     spatial and temporal distribution     climatic change    

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Original position statistic distribution analysis (OPA) on the quality of mould steel billet

Wang Haizhou,Li Meiling,Zhang Xiuxin,Wu Chao

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 39-47

Abstract: text-align: justify;">Through the analysis of mould steel from different sources by the original position statisticsteel from different sources were uantitatively characterized, including the biggest segregation, the statisticdegree of segregation, statistic degree of accord with contents (statistic degree of homogeneity), thestatistic density as well as the content, variety and statistic size distribution of the inclusions.

Keywords： original position statistic distribution analysis     mould steel     degree of statistic segregation     degreeof statistic homogeneity     inclusion    

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The Hydrogen Fuel Cell Battery: Replacing the Combustion Engine in Heavy Vehicles

Kevin Kendall, Siyu Ye, Zhixiang Liu

Engineering 2023, Volume 21, Issue 2,   Pages 39-41 doi: 10.1016/j.eng.2022.11.007

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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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Original position statistic distribution analysis characterization of niobium on the vertical section

Wang Haizhou,Li Meiling,Zhuang Jingyun

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 19-27

Abstract: vertical section of casting of GH169 superalloy pneumatic plate wheel was studied by original position statisticprimary signals at the corresponding original positions of the sample systematically, the quantitative statisticAll these above methods have been used to determine the homogeneity and statistic fitting degree of niobium

Keywords： original position statistic distribution analysis     superalloy pneumatic plate wheel     niobium     statisticsegregation degree     statistic fitting degree     quality control    

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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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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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Effect of biochar amendment on soil’s retention capacity for estrogenic hormones from poultry manure treatment

Sukhjot MANN, Zhiming QI, Shiv O. PRASHER, Lanhai LI, Dongwei GUI, Qianjing JIANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 208-219 doi: 10.15302/J-FASE-2017138

Abstract: Most animals, including humans, produce natural sex hormones such as estrogens: 17β-estradiol (E2) and estrone (E1). These compounds are able to disrupt the reproductive systems of living organisms at trace concentrations (ng·L ). This experiment tests the hypothesis that 1% slow pyrolysis biochar-amended sandy soil could retain significant amount of estrogens (E1, E2) from poultry manure in its second year of application. The experiment was conducted over 46 days and consisted of a series of lysimeters containing sandy soil with biochar-amended topsoil. The application rate of poultry manure was kept at 2.47 kg·m . The biochar held a significant concentration of hormone during the first year of its application. However, in the following year (current study), there was no significant retention of hormones in the biochar-amended soil. During the first year after application, the biochar was fresh, so its pores were available for hydrophobic interactions and held significant concentration of hormones. As time passed there were several biotic and abiotic changes on the surface of the biochar so that after some physical fragmentation, pores on the surface were no longer available for hydrophobic interactions. The biochar started releasing dissolved organic carbon, which facilitated greater mobility of hormones from poultry manure down the soil profile.

Keywords： adsorption     degradation     dissolved organic carbon     17β-estradiol (E2)     estrone (E1)    

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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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A proposed framework for accelerating technology trajectories in agriculture: a case study in China

JONES, Helen KENDALL, James TAYLOR, Yiying CAO, Wenjing LI, Chunjiang ZHAO, Jing CHEN, Guijun YANG, Liping

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 485-498 doi: 10.15302/J-FASE-2018244

Abstract:

Precision agriculture (PA) technologies have great potential for promoting sustainable intensification of food production, ensuring targeted delivery of agricultural inputs, and hence food security and environmental protection. The benefits of PA technologies are applicable across a broad range of agronomic, environmental and rural socio-economic contexts globally. However, farmer and land-manager adoption in low to middle income countries has typically been slower than that observed in more affluent countries. China is currently engaged in the process of agricultural modernisation to ensure food security for its 1.4 billion population and has developed a portfolio of policies designed to improve food security, while simultaneously promoting environmental protection. Particular attention has been paid to the reduction of agricultural inputs such as fertilisers and pesticides. The widespread adoption of PA technologies across the Chinese agricultural landscape is central to the success of these policies. However, socio-economic and cultural barriers, farm scale, (in particular the prevalence of smaller family farms) and demographic changes in the rural population, (for example, the movement of younger people to the cities) represent barriers to PA adoption across China. A framework for ensuring an acceptable and accelerated PA technology trajectory is proposed which combines systematic understanding of farmer and end-user priorities and preferences for technology design throughout the technology development process, and subsequent end-user requirements for implementation (including demonstration of economic and agronomic benefits, and knowledge transfer). Future research will validate the framework against qualitative and quantitative socio-economic, cultural and agronomic indicators of successful, or otherwise, PA implementation. The results will provide the evidence upon which to develop further policies regarding how to secure sustainable food production and how best to implement PA in China, as well as practical recommendations for optimising end-user uptake.

Keywords： precision agriculture     farmer adoption     technological innovation    

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Original Position Statistic Distribution Analysis (OPA) Study on the Quality of Billet

Wang Haizhou,Li Meiling,Chen Jiwen,Wu Chao

Strategic Study of CAE 2003, Volume 5, Issue 10,   Pages 34-42

Abstract: characterized by the primary, original and statistical nature of measured information, thus the quantitative statistic

Keywords： original position statistic distribution analysis     billet     degree of porosity     degree of homogeneity     inclusion    

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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: Traditional Chinese medicine (TCM) is one of the rarely existing ancient traditional medicines that hold systematic theories as well as preventative and therapeutic methods for diseases in practice. From the 1950s, such research methods as mathematics, statistics, and data mining (DM) have been gradually introduced to TCM studies, making it more scientific. Meanwhile, the distinct features of TCM theories and diagnostic-model have constantly challenged the methodology of statistics. This paper introduces the following scientific features of traditional Chinese therapeutics: 1) its goal is to balance the functions and conditions of human body; 2) it emphasizes on holism and individualization; 3) it stresses the longitudinal regulation and evaluation mode, which is a circle of syndrome diagnosis, treatment and evaluation; 4) the interventions of TCM are abundant, compound and natural; and 5) humanistic thought is everywhere. Some statistical problems are raised based on these features. First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional and multistage data, non-equilibrium designed studies, and longitudinal data are required. Second, comprehensive evaluation on multiple-target mechanism has been brought in by combination treatment. Third, there is a need to analyze how humanity and related cultural factors may influence the effect of interventions. Thus, promoting implemented studies of statistics as well as carrying out the TCM scientific propositions have become the common expectations of both TCM and modern medicine.

Keywords： traditional Chinese therapeutics     feature     statistic    

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Title Author Date Type Operation

Changes in hourly precipitation may explain the sharp reduction of discharge in the middle reach of the Yellow River after 2000

Lin LUO, Zhongjing WANG

Journal Article

Original position statistic distribution analysis (OPA) on the quality of mould steel billet

Wang Haizhou,Li Meiling,Zhang Xiuxin,Wu Chao

Journal Article

The Hydrogen Fuel Cell Battery: Replacing the Combustion Engine in Heavy Vehicles

Kevin Kendall, Siyu Ye, Zhixiang Liu

Journal Article

Study on Rank Reversals in Liner Allocation Method

Zhang Ling,Zhou Dequn

Journal Article

Original position statistic distribution analysis characterization of niobium on the vertical section

Wang Haizhou,Li Meiling,Zhuang Jingyun

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

Fuzzy Rank Methodology for Risk Assessment of Environmental Pollution Accidents

Xiong Deqi,Chen Gang,Li Qiong

Journal Article

Effect of biochar amendment on soil’s retention capacity for estrogenic hormones from poultry manure treatment

Sukhjot MANN, Zhiming QI, Shiv O. PRASHER, Lanhai LI, Dongwei GUI, Qianjing JIANG

Journal Article

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

Journal Article

A proposed framework for accelerating technology trajectories in agriculture: a case study in China

JONES, Helen KENDALL, James TAYLOR, Yiying CAO, Wenjing LI, Chunjiang ZHAO, Jing CHEN, Guijun YANG, Liping

Journal Article

Original Position Statistic Distribution Analysis (OPA) Study on the Quality of Billet

Wang Haizhou,Li Meiling,Chen Jiwen,Wu Chao

Journal Article

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

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Journal Article