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NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning Research Articles

Jianke HU, Yin ZHANG,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 409-421 doi: 10.1631/FITEE.2000657

Abstract: layer or deeper architecture, NGAT can balance the need for preserving the locality (including root node

Keywords： Graph learning     Semi-supervised learning     Node classification     Attention    

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Clinical significance of para-aortic lymph node dissection and prognosis in ovarian cancer

Xianxian Li, Hui Xing, Lin Li, Yanli Huang, Min Zhou, Qiong Liu, Xiaomin Qin, Min He

Frontiers of Medicine 2014, Volume 8, Issue 1,   Pages 96-100 doi: 10.1007/s11684-014-0316-4

Abstract:

Lymph node metastasis has an important effect on prognosis of patients with ovarian cancer.Moreover, the impact of para-aortic lymph node (PAN) removal on patient prognosis is still unclear.Group A consisted of 30 patients who underwent PAN+ pelvic lymph node (PLN) dissection, whereas groupIn group B, 13 cases were positive for lymph node metastasis.Our study suggested that the metastatic rate of lymph node is 40.0%.

Keywords： ovarian cancer     para-aortic lymph node     pelvic lymph node    

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Spatial embedded reinforcement of 20-node block element for analysis PC bridges

LONG Peiheng, DU Xianting, CHEN Weizhen

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 274-280 doi: 10.1007/s11709-008-0039-1

Abstract: It is an effective approach that the no-node loads are diverted from the tendons to the adjacent concrete

Keywords： arithmetic analysis     calculation     prestressed reinforcement     mechanical     arbitrary    

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Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: Rock mass classification system is very suitable for various engineering design and stability analysisclassification method is confirmed by Japan Highway Public Corporation that this method can figure outThese equations as a new method were able to optimize the support system for and classification systemsFrom classification and its application in these case studies, it is pointed out that the methodfor the design of support systems in underground working is more reliable than the and classification

Keywords： JH classification     Q and RMR classification     new method    

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Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Frontiers of Medicine 2018, Volume 12, Issue 2,   Pages 229-235 doi: 10.1007/s11684-017-0581-0

Abstract: Taking gastric cancer as an example, its molecular classification is built on genome abnormalities, butSubsequently, by using their findings, oncologists will carry out targeted therapy based on molecular classification

Keywords： molecular classification     precision medicine     pembrolizumab     PD-1/PD-L1     MSI-H    

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Prognostic value of the 21-gene recurrence score in ER-positive, HER2-negative, node-positive breastcancer was similar in node-negative diseases: a single-center study of 800 patients

Jiayi Wu, Weiqi Gao, Xiaosong Chen, Chunxiao Fei, Lin Lin, Weiguo Chen, Ou Huang, Siji Zhu, Jianrong He, Yafen Li, Li Zhu, Kunwei Shen

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 621-628 doi: 10.1007/s11684-020-0738-0

Abstract: Multi-gene assays have emerged as crucial tools for risk stratification in early-stage breast cancer. This study aimed to evaluate the prognostic significance of the 21-gene recurrence score (RS) in Chinese patients with pN0-1, estrogen receptor-positive (ER ), human epidermal growth factor receptor 2-negative (HER2 ) breast cancer. Among 800 patients recruited between 2009 and 2016, the median RS was 24 (0–69), with 27.4%, 46.8%, and 25.9% patients classified into low-, intermediate-, and high-risk groups. Cox regression analysis demonstrated that the high-risk category was associated with significantly higher odds of invasive disease-free survival (IDFS) and distant disease-free survival (DDFS) events compared with the low-risk category (IDFS: HR= 2.450, 95% CI 1.017–5.902, = 0.046; DDFS: HR= 2.829, 95% CI 1.013–7.901, = 0.047). No significant association between RS category and overall survival (OS) was found (intermediate vs. low: HR= 1.244, 95% CI 0.292–5.297, = 0.768; high vs. low: HR= 2.933, 95% CI 0.759–11.327, = 0.119). RS, as a continuous variable, was a highly significant predictor for IDFS (HR= 1.028, 95% CI 1.010–1.047, = 0.002), DDFS (HR= 1.030, 95% CI 1.010–1.051, = 0.003), and OS (HR= 1.034, 95% CI 1.007–1.063, = 0.014). Our findings suggested that RS may predict IDFS in Chinese patients with ER /HER2 breast cancer with N0 or N1 disease.

Keywords： early breast cancer     21-gene assay     recurrence score     prognosis    

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Study on road network model based on virtual node joint

Zhu Zhuangsheng,Wang Qing,Wan Dejun

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 83-87

Abstract: text-align: justify;">The road network in the real world has been showed by the road network model based on nodeIt is the first time that a novel road network model,that is,the road network model based on virtual nodeThe novel model adops virtual node to show multi-road converging area,and the virtual node is an areaThe novel model has better of image the traffic flow on the road network than the old model based on node

Keywords： traffic engineering     virtual node     road network model     map matching     transportation planning    

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An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: To deal with pattern classification of complicated mechanical faults, an approach to multi-faults classificationKPCA is good at detection of machine abnormality while GDA performs well in multi-faults classificationWhen the proposed method is applied to air compressor condition classification and gear fault classification, an excellent performance in complicated multi-faults classification is presented.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

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EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 81-85 doi: 10.1007/s11465-008-0011-8

Abstract: Although the traditional information classification coding system in manufacturing enterprises (MEs)integration (EAI) in manufacturing enterprises, an enterprise application integration oriented information classificationEAIO-ICCS expands the connotation of the information classification code system and assures the identity

Keywords： EAI     EAIO-ICCS     management     classification     connotation    

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Node Status Monitoring of Information-Centric Internet of Things

Cui Liqun, Wu Jun

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 121-127 doi: 10.15302/J-SSCAE-2020.06.016

Abstract: network status information of the information-centric Internet of Things (IC-IoT), this study proposes a nodeIt first proposes a new management information base structure for recording various network node statusthe naming format of information-centric networking (ICN), centering on the content of the network node

Keywords： information-centric networking，Internet of Things，node status monitoring，access control    

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Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 394-402 doi: 10.1007/s11708-012-0211-0

Abstract: This paper investigates the capability of support vector machines (SVM) for prediction of fault classificationHere, the SVM has been used as a classification.

Keywords： machines (SVM)     structural risk minimization (SRM)     equivalent capacity margin (ECM)     restoration     fault classification    

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Application progress of lymphography in oncology

Yang YU, Jibin LIU, Lixue YIN

Frontiers of Medicine 2009, Volume 3, Issue 1,   Pages 13-19 doi: 10.1007/s11684-009-0016-7

Abstract: Lymphography is often used for the diagnosis of lymphatic metastasis in oncology. Determination of lymphatic metastasis is extremely important for accurate cancer staging, which may directly guide the clinical therapeutic scheme. In recent years, the technology of lymphography has developed rapidly on the basis of traditional lymphography, with the appearance of computed tomography (CT) lymphography, nuclear magnetic resonance (MR) lymphography, contrast-enhanced lymphosonography, and so on; the diagnostic accuracy has also been improved. The imaging principles and methods of these various technologies of lymphography are reviewed in this paper, and their applications and significance in oncology are also discussed in detail.

Keywords： lymphography     lymphatic metastasis     sentinel lymph node biopsy    

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Simulation of cohesive crack growth by a variable-node XFEM

Weihua FANG, Jiangfei WU, Tiantang YU, Thanh-Tung NGUYEN, Tinh Quoc BUI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 215-228 doi: 10.1007/s11709-019-0595-6

Abstract: new computational approach that combines the extended finite element method associated with variable-nodeBy using a new enriched technique based on sign function, the proposed model using 4-node quadrilateralThe multiscale mesh technique associated with variable-node elements and the arc-length method further

Keywords： extended finite element method     cohesive zone model     sign function     crack propagation    

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Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 150-156 doi: 10.1007/s11684-013-0267-1

Abstract: However, heterogeneity in patient outcomes may still be observed, which highlights the insufficiency of a classification

Keywords： malignant glioma     molecular biomarker     IDH1     MGMT     molecular classification    

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Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Finally, feature extraction filters are optimized together with the weight of the classification componentthrough training, to minimize the classification error.

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

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Title Author Date Type Operation

NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning

Jianke HU, Yin ZHANG,yinzh@zju.edu.cn

Journal Article

Clinical significance of para-aortic lymph node dissection and prognosis in ovarian cancer

Xianxian Li, Hui Xing, Lin Li, Yanli Huang, Min Zhou, Qiong Liu, Xiaomin Qin, Min He

Journal Article

Spatial embedded reinforcement of 20-node block element for analysis PC bridges

LONG Peiheng, DU Xianting, CHEN Weizhen

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Journal Article

Prognostic value of the 21-gene recurrence score in ER-positive, HER2-negative, node-positive breastcancer was similar in node-negative diseases: a single-center study of 800 patients

Jiayi Wu, Weiqi Gao, Xiaosong Chen, Chunxiao Fei, Lin Lin, Weiguo Chen, Ou Huang, Siji Zhu, Jianrong He, Yafen Li, Li Zhu, Kunwei Shen

Journal Article

Study on road network model based on virtual node joint

Zhu Zhuangsheng,Wang Qing,Wan Dejun

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Journal Article

EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Journal Article

Node Status Monitoring of Information-Centric Internet of Things

Cui Liqun, Wu Jun

Journal Article

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Application progress of lymphography in oncology

Yang YU, Jibin LIU, Lixue YIN

Journal Article

Simulation of cohesive crack growth by a variable-node XFEM

Weihua FANG, Jiangfei WU, Tiantang YU, Thanh-Tung NGUYEN, Tinh Quoc BUI

Journal Article

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article