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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Considering the severity of power grid disasters, an improved power grid resilience measure and its correspondingimportance measures are proposed.Result shows that the recovery priorities of components with different importance measures vary.

Keywords： resilience measure power grid importance measure component recovery

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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3, Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: Birnbaum importance is a well-known method for evaluating the effect of component reliability on systemMany importance measures (IMs) are extended for binary, multistate, and continuous systems from differentaspects based on the Birnbaum importance.Therefore, the significance of Birnbaum importance is illustrated from the perspective of probabilityThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtain

Keywords： importance measure system performance reliability optimization optimization rules optimization algorithms

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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3, Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: In this paper, a neural network-based production process modeling and variable importance analysis approachUltimately, variable importance analysis is carried out by the extended weight connection method, and

Keywords： big data corn to sugar factory neural network variable importance analysis

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The critical importance of epigenetics in autoimmune-related skin diseases

Frontiers of Medicine 2023, Volume 17, Issue 1, Pages 43-57 doi: 10.1007/s11684-022-0980-8

Abstract: Autoimmune-related skin diseases are a group of disorders with diverse etiology and pathophysiology involved in autoimmunity. Genetics and environmental factors may contribute to the development of these autoimmune disorders. Although the etiology and pathogenesis of these disorders are poorly understood, environmental variables that induce aberrant epigenetic regulations may provide some insights. Epigenetics is the study of heritable mechanisms that regulate gene expression without changing DNA sequences. The most important epigenetic mechanisms are DNA methylation, histone modification, and noncoding RNAs. In this review, we discuss the most recent findings regarding the function of epigenetic mechanisms in autoimmune-related skin disorders, including systemic lupus erythematosus, bullous skin diseases, psoriasis, and systemic sclerosis. These findings will expand our understanding and highlight the possible clinical applications of precision epigenetics approaches.

Keywords： epigenetics autoimmune-related skin diseases DNA methylation histone modifications noncoding RNAs

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: Metamodels have been widely used as an alternative for expensive physical experiments or complex, time-consuming computational simulations to provide a fast but accurate analysis. However, challenge remains in the prior determination of the most suitable metamodel for a particular case because of the lack of information about the actual behavior of a system. In addition, existing studies on metamodels have largely restricted on solving deterministic problems (e.g., data from finite element models), whereas some real-life engineering problems (e.g., data from physical experiment) are stochastic problems with noisy data. In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone metamodels in a weighted sum form. The weight factor is adaptively determined according to the hybrid error metric, which combines global and local error measures to improve the accuracy of the EMs. Furthermore, three typical individual metamodels that can filter noise are selected to construct the EMs to extend their application in practical engineering problems. Three well-known benchmark problems with different levels of noise and three engineering problems are used to verify the effectiveness of the proposed EMs. Results show that the proposed EMs have higher accuracy and robustness than the individual metamodels and other typical EMs in major cases.

Keywords： metamodel ensemble of metamodels hybrid error measure stochastic problem

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Search for a natural scientific measure of economy

John E COULTER

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1, Pages 111-118 doi: 10.1007/s11783-011-0285-7

Abstract: 1950s, is being researched, developed, and applied, especially in China, driven by the desperation to measure

Keywords： climate change financial crisis energy exergy environment

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balloon-only strategy for percutaneous coronary intervention of left main coronary artery disease: the importance

Frontiers of Medicine 2023, Volume 17, Issue 1, Pages 75-84 doi: 10.1007/s11684-022-0950-1

Abstract: This retrospective single-center registry study included all consecutive patients who underwent percutaneous coronary intervention (PCI) for a de novo left main coronary artery lesion using drug coated-balloon (DCB)-only strategy between August 2011 and December 2018. To best of our knowledge, no previous studies of DCB-only strategy of treating de novo left main coronary artery disease, exist. The primary endpoint was major adverse cardiovascular events (MACEs) including cardiac death, non-fatal myocardial infarction, and target lesion revascularization (TLR). The cohort was divided into two groups depending on weather the lesion preparation was done according to the international consensus group guidelines. Sixty-six patients (mean age 75±8.6, 72% male), 52% of whom had acute coronary syndrome, underwent left main PCI with the DCB-only strategy. No procedural mortality and no acute closures of the treated left main occurred. At 12 months, MACE and TLR occurred in 24% and 6% of the whole cohort, respectively. If the lesion preparation was done according to the guidelines, the MACE and TLR rates were 21.2% and 1.9%. Left main PCI with the DCB only-strategy is safe leading to acceptable MACE and low TLR rates at one year, if the lesion preparation is done according to the guidelines.

Keywords： drug-coated balloon left main high bleeding risk predilatation calcifield lesion percutaneous coronary intervention

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The Rising Importance of Precision Engineering

Mark Hoffman, Liangchi Zhang

Engineering 2018, Volume 4, Issue 6, Pages 759-759 doi: 10.1016/j.eng.2018.11.007

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Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1267-1412 doi: 10.1631/FITEE.1900552

Abstract: Similarity measure has long played a critical role and attracted great interest in various areas suchNevertheless, there remains the issue of developing an efficient two-dimensional (2D) robust similarity measurethe properties of subspace, we develop an effective 2D technique, named transformation similarity measureWe present the mathematical features and some odds to reveal the feasible and robust measure mechanism

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An evaluation method for link importance based on the characteristic of network communication

Jiang Yu,Hu Aiqun,He Ming

Strategic Study of CAE 2009, Volume 11, Issue 9, Pages 64-67

Abstract: The link importance is determined by its using frequency in all-pairs shortest paths and the most vitalalgorithm directly reflects the edge's contribution to the network communication and the relative importance

Keywords： communication networks link importance shortest paths serial links

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Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: network by replacing the traditional relations with fuzzy relation and calculating the global fuzzy measure

Keywords： Time-series network Fuzzy network Fuzzy Markov chain

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Emergy evaluation of polygeneration systems

WANG Lingmei, LI Zheng, NI Weidou

Frontiers in Energy 2007, Volume 1, Issue 2, Pages 223-227 doi: 10.1007/s00000-007-0030-x

Abstract: index, the cost structure, emission effect and energy saved were all considered on the same level of importance

Keywords： fuel-to-electric sustainability importance polygeneration practical

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell’s mechanism. The development of the yeast two-hybrid, tandem affinity purification, and mass spectrometry high-throughput proteomic techniques supplies a large amount of protein-protein interaction data, which make it possible to predict overlapping complexes through computational methods. Research shows that overlapping complexes can contribute to identifying essential proteins, which are necessary for the organism to survive and reproduce, and for life’s activities. Scholars pay more attention to the evaluation of protein complexes. However, few of them focus on predicted overlaps. In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze the similarity between the identified overlaps and the benchmark overlap modules. Comparison of essential proteins and gene ontology (GO) analysis are also used to assess the quality of overlaps. We perform a comprehensive comparison of serveral overlapping complexes prediction approaches, using three yeast protein-protein interaction (PPI) networks. We focus on the analysis of overlaps identified by these algorithms. Experimental results indicate the important of overlaps and reveal the relationship between overlaps and identification of essential proteins.

Keywords： Protein-protein interaction network Essential protein modules Overlap Overlap maximum matching ratio

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Experience and Revelation in Saving Oil in Transport Abroad

Hu Xiaochun,Wang Xieqing

Strategic Study of CAE 2005, Volume 7, Issue 3, Pages 1-5

Abstract:

Transport has become the dominant oil-consuming sector in the world. Oil use in the sector has increased steadily over the past 30 years and now represents nearly two-thirds of total IEA oil consumption. This article examines a variety of options and strategies in transport of the developed countries to reduce oil consumption. Some suggestions are proposed for saving oil in transport of China.

Keywords： transport oil-saving measure

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Passive source localization using importance sampling based on TOA and FOA measurements Article

Rui-rui LIU, Yun-long WANG, Jie-xin YIN, Ding WANG, Ying WU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8, Pages 1167-1179 doi: 10.1631/FITEE.1601657

Abstract: In this paper, we use the Pincus theorem and Monte Carlo importance sampling (MCIS) to achieve an approximateHowever, the MCIS method is robust to this prior knowledge for point sampling and correction of importance

Keywords： Passive source localization Time of arrival (TOA) Frequency of arrival (FOA) Monte Carlo importance