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Monte Carlo simulation of the diffusion-limited aggregating process of particle suspension systems

Jiajing XU, Lin ZHANG, Yongjian TANG, Wei DAI, Wenwen SHAN,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 270-274 doi: 10.1007/s11705-009-0273-7

Abstract: In this paper, the aggregating process was simulated with off-lattice diffusion-limited cluster-clusteraggregation (DLCA) Monte Carlo programs.analysis of gyration radius distribution and the existence of a scaling distribution of the reduced cluster

Keywords： cluster-cluster aggregation     distribution function     relationship     process     universal    

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Design of tandem genes cluster for isoflavone engineering

Xunli XIA PhD , Guangxiao YANG PhD , Guangyuan HE PhD ,

Frontiers of Medicine 2009, Volume 3, Issue 3,   Pages 292-296 doi: 10.1007/s11684-009-0057-y

Abstract: In this paper, a universal effective novel method of constructing tandem genes cluster for isoflavoneA tandem genes cluster () of secondary metabolites of plant isoflavones was constructed by using the

Keywords： isoflavones engineering     secondary metabolism     tandem genes cluster    

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Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 612-625 doi: 10.1007/s11708-019-0647-6

Abstract: It applies a cluster approach, aiming to identify whether the high emitters comprise clusters where householdsin each cluster share similar characteristics but are different from the others.Policymakers should target each high-emitter cluster differently to reduce CO emissions from energy

Keywords： cluster analysis     emissions reduction     energy use     high emitters     household energy consumption     socioeconomic    

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Scaling up of cluster beam deposition technology for catalysis application

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 6,   Pages 1360-1379 doi: 10.1007/s11705-021-2101-7

Abstract: Many research works have demonstrated that the combination of atomically precise cluster deposition and, and reaction mechanisms of cluster materials.promising potential for scale-up, including sputtering gas aggregation source, pulsed microplasma clustersource, and matrix assembly cluster source.While the sputtering gas aggregation source is leading ahead with a production rate of ~20 mg·h–

Keywords： nanoparticle     cluster     cluster beam deposition     magnetron sputtering     heterogeneous catalysis    

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Molecular dynamics simulations of initial Pd and PdO nanocluster growth in a magnetron gas aggregation

Pascal Brault, William Chamorro-Coral, Sotheara Chuon, Amaël Caillard, Jean-Marc Bauchire, Stève Baranton, Christophe Coutanceau, Erik Neyts

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 2,   Pages 324-329 doi: 10.1007/s11705-019-1792-5

Abstract: nanocluster structures are successfully compared to those of nanoclusters experimentally grown in a gas aggregation

Keywords： molecular dynamics     cluster growth     plasma sputtering     nanocatalyst    

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Fuzzy cluster analysis of tapered roller bearing vibration

Liu Jinjun,Xia Xintao,Zhang Lihong

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 112-117

Abstract:

By using the fuzzy cluster analysis of grey system theory to analysis

Keywords： tapered roller bearing     vibration     fuzzy cluster analysis    

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Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differential

Frontiers in Energy   Pages 782-795 doi: 10.1007/s11708-023-0905-8

Abstract: To address the problems, this paper proposes a cluster voltage control method for distributed photovoltaicThen, in each cluster, based on the control strategy of “reactive power compensation first, active power

Keywords： distributed photovoltaics (DPVs)     cluster partitioning     improved differential evolution algorithm     voltage    

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Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 238-245 doi: 10.1007/s11783-011-0382-7

Abstract: through the analysis of the weight relation between influencing factors and forecasting object using cluster

Keywords： water quality forecast     principal factor     cluster analysis method     artificial neural network    

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A density functional theory study of methane activation on MgO supported NiM cluster: role of M on C–H

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 10,   Pages 1485-1492 doi: 10.1007/s11705-022-2169-8

Abstract: In present work, methane activation on MgO supported Ni–M (M = Fe, Co, Cu, Pd, Pt) cluster was exploredthrough detailed density functional theory calculations, compared to pure Ni cluster.CH4 adsorption on Cu promoted Ni cluster requires overcoming an energy of 0.07 eV, indicatingDoping elements of the same period in Ni cluster, such as Fe, Co and Cu, for C–H bond activation followsConsequently, C–H bond activation demands a lower energy barrier on Ni–Pt cluster.

Keywords： CH4 dissociation     Ni–M     C–H bond activation     charge transfer    

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Heterometallic cluster-based organic frameworks as highly active electrocatalysts for oxygen reduction

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 5,   Pages 570-580 doi: 10.1007/s11705-022-2247-y

Abstract: The oxygen reduction reaction and oxygen evolution reaction catalytic activities of heterometallic cluster-basedFurthermore, the analysis of the electron structure indicates that constructing a mixed-metal clusterIn conclusion, the mixed-metal cluster strategy provides a new approach to further design and synthesize

Keywords： bimetallic metal–organic frameworks     bifunctional electrocatalyst     density functional theory     oxygen reduction reaction     oxygen evolution reaction    

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Molecular network-based intervention brings us closer to ending the HIV pandemic

Xiaoxu Han, Bin Zhao, Minghui An, Ping Zhong, Hong Shang

Frontiers of Medicine 2020, Volume 14, Issue 2,   Pages 136-148 doi: 10.1007/s11684-020-0756-y

Abstract: Precise identification of HIV transmission among populations is a key step in public health responses. However, the HIV transmission network is usually difficult to determine. HIV molecular networks can be determined by phylogenetic approach, genetic distance-based approach, and a combination of both approaches. These approaches are increasingly used to identify transmission networks among populations, reconstruct the history of HIV spread, monitor the dynamics of HIV transmission, guide targeted intervention on key subpopulations, and assess the effects of interventions. Simulation and retrospective studies have demonstrated that these molecular network-based interventions are more cost-effective than random or traditional interventions. However, we still need to address several challenges to improve the practice of molecular network-guided targeting interventions to finally end the HIV epidemic. The data remain limited or difficult to obtain, and more automatic real-time tools are required. In addition, molecular and social networks must be combined, and technical parameters and ethnic issues warrant further studies.

Keywords： human immunodeficiency virus type 1     molecular cluster     transmission cluster     risk network     targeted intervention    

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Cluster of lefteye flounder farming industryof China: Estimation, reasons and policies

Han Zhenfang,Yang Zhengyong

Strategic Study of CAE 2014, Volume 16, Issue 9,   Pages 93-99

Abstract:

These studies were focused on second and third industry, cluster of aquacultureUsing Location Quotient and Spatial Gini Coefficient methods, the cluster of lefteye flounder FarmingThe results showed that industrial cluster does exist in flounder aquaculture of China, mainly clusteredIts cluster degree in Shang Dong has been highest since the development of this industry, but it hasContrarily, its cluster degree in Liao Ning has kept on increasing.

Keywords： flounder aquaculture     industry cluster     location quotient     space gini coefficient     technological innovation    

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System and prospects of China’s intercity rail transit technology

Ming GONG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 323-328 doi: 10.1007/s11465-018-0463-4

Abstract:

City clusters and metropolitan areas in China are flourishing in the midst of the deepening urbanization in the country, thereby resulting in the emergence of intercity rail transit. Intercity railways connect mainline and urban railways for an integrated regional transportation system that underpins and leads the development of city clusters and metropolitan areas. This study explores the development mode and service characteristics of intercity rail transit, as well as proposes overviews on this system and prospects of its future technology in China.

Keywords： intercity rail transit     city cluster     technical demand     technology system    

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Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris

Yufeng Zhao, Xueyun Yu, Xinyu Cao, Lin Luo, Liyun He, Shusong Mao, Li Ma, Peijing Rong, Yuxue Zhao, Guozheng Li, Baoyan Liu

Frontiers of Medicine 2018, Volume 12, Issue 5,   Pages 566-571 doi: 10.1007/s11684-017-0556-1

Abstract: Syndromes were automatically extracted with the cluster method and were analyzed to provide objective

Keywords： syndrome differentiation     real-world study     coronary heart disease with angina pectoris     cluster analysis    

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Filter-cluster attention based recursive network for low-light enhancement Research Article

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 1028-1044 doi: 10.1631/FITEE.2200344

Abstract: The poor quality of images recorded in low-light environments affects their further applications. To improve the visibility of low-light images, we propose a recurrent network based on (FCA), the main body of which consists of three units: difference concern, gate recurrent, and iterative residual. The network performs multi-stage recursive learning on low-light images, and then extracts deeper feature information. To compute more accurate dependence, we design a novel FCA that focuses on the saliency of feature channels. FCA and self-attention are used to highlight the low-light regions and important channels of the feature. We also design a (DenCP) to extract the color features of the low-light inversion image, to compensate for the loss of the image’s color information. Experimental results on six public datasets show that our method has outstanding performance in subjective and quantitative comparisons.

Keywords： Low-light enhancement     Filter-cluster attention     Dense connection pyramid     Recursive network    

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Title Author Date Type Operation

Monte Carlo simulation of the diffusion-limited aggregating process of particle suspension systems

Jiajing XU, Lin ZHANG, Yongjian TANG, Wei DAI, Wenwen SHAN,

Journal Article

Design of tandem genes cluster for isoflavone engineering

Xunli XIA PhD , Guangxiao YANG PhD , Guangyuan HE PhD ,

Journal Article

Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Journal Article

Scaling up of cluster beam deposition technology for catalysis application

Journal Article

Molecular dynamics simulations of initial Pd and PdO nanocluster growth in a magnetron gas aggregation

Pascal Brault, William Chamorro-Coral, Sotheara Chuon, Amaël Caillard, Jean-Marc Bauchire, Stève Baranton, Christophe Coutanceau, Erik Neyts

Journal Article

Fuzzy cluster analysis of tapered roller bearing vibration

Liu Jinjun,Xia Xintao,Zhang Lihong

Journal Article

Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differential

Journal Article

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Journal Article

A density functional theory study of methane activation on MgO supported NiM cluster: role of M on C–H

Journal Article

Heterometallic cluster-based organic frameworks as highly active electrocatalysts for oxygen reduction

Journal Article

Molecular network-based intervention brings us closer to ending the HIV pandemic

Xiaoxu Han, Bin Zhao, Minghui An, Ping Zhong, Hong Shang

Journal Article

Cluster of lefteye flounder farming industryof China: Estimation, reasons and policies

Han Zhenfang,Yang Zhengyong

Journal Article

System and prospects of China’s intercity rail transit technology

Ming GONG

Journal Article

Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris

Yufeng Zhao, Xueyun Yu, Xinyu Cao, Lin Luo, Liyun He, Shusong Mao, Li Ma, Peijing Rong, Yuxue Zhao, Guozheng Li, Baoyan Liu

Journal Article

Filter-cluster attention based recursive network for low-light enhancement

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Journal Article