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A Wireless Sensor Network Clustering Algorithm based on Hypergraph
Xu Qian,Hu Ji-cheng,Lin Hai,Kong Ruo-shan,Luo Yong-en,Zhu Li,Mao Hua-qing 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.6
The paper proposes a clustering algorithm for wireless sensor network based on hypergraph. Under the hypergraph model, a wireless sensor network is mapped to a hypergraph. Then a hierarchical iterative clustering algorithm is applied to the hypergraph, thus dividing the hypergraph into multiple parts. A cluster head is selected from each part. In order to improve the partitioning process, a new modularity function is proposed. Compared with the classic clustering algorithm LEACH, simulation shows that our algorithm performs better in energy consuming and network lifetime.
Enhanced Locality Sensitive Clustering in High Dimensional Space
Chen, Gang,Gao, Hao-Lin,Li, Bi-Cheng,Hu, Guo-En The Korean Institute of Electrical and Electronic 2014 Transactions on Electrical and Electronic Material Vol.15 No.3
A dataset can be clustered by merging the bucket indices that come from the random projection of locality sensitive hashing functions. It should be noted that for this to work the merging interval must be calculated first. To improve the feasibility of large scale data clustering in high dimensional space we propose an enhanced Locality Sensitive Hashing Clustering Method. Firstly, multiple hashing functions are generated. Secondly, data points are projected to bucket indices. Thirdly, bucket indices are clustered to get class labels. Experimental results showed that on synthetic datasets this method achieves high accuracy at much improved cluster speeds. These attributes make it well suited to clustering data in high dimensional space.
Comprehensive Analysis of Vascular Endothelial Growth Factor-C Related Factors in Stomach Cancer
Liu, Yong-Chao,Zhao, Jing,Hu, Cheng-En,Gan, Jun,Zhang, Wen-Hong,Huang, Guang-Jian Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.5
Background: Vascular endothelial growth factor-C (VEGF-C), which contributes to lymphatic metastasis (LM) in malignant disease, is one of the most important factors involved in physical and pathological lymphangiogenesis. Some VEGF-C related factors such as sine oculis homeobox homolog (SIX) 1, contactin (CNTN) 1 and dual specificity phosphatase (DUSP) 6 have been extensively studied in malignancies, but their expression levels and associations have still to be elucidated in stomach cancer. Methods: We detected their expression levels in 30 paired stomach cancer tissues using quantitative real-time reverse transcription-PCR (qRT-PCR). The expression and clinical significance of each factor was analyzed using Wilcoxon signed rank sum test. The correlation among all the factors was performed by Spearman rank correlation analysis. Results: The results suggest that VEGF-C and CNTN1 are significantly correlated with tumor size, SIX1 with the age and CNTN1 also with the cTNM stage. There are significant correlations of expression levels among VEGF-C, SIX1, CNTN1 and DUSP6. Conclusions: There exists an important regulatory crosstalk involving SIX1, VEGF-C, CNTN1 and DUSP6 in stomach cancer.
Gastric Cancer Stem Cells: Mechanisms and Therapeutic Approaches
Yan Fu,Peizhun Du,Jing Zhao,Cheng’en Hu,Yunyun Qin,Guangjian Huang 연세대학교의과대학 2018 Yonsei medical journal Vol.59 No.10
Gastric cancer (GC) is the third leading cause of cancer-related deaths worldwide. GC stem-like cells (GCSCs), with unlimitedself-renewal, differentiation, and tumor-regenerating capacities, contribute significantly to the refractory features of GC and havegained increasing attention for their role in GC drug resistance, relapse, and metastasis. Therapies targeting GCSCs seem to beone of the most promising methods to improve the outcomes of GC patients. Extensive investigations have attempted to outlinethe regulatory mechanisms in GCSCs and to develop GCSCs-targeting therapies with which to diminish GC drug resistance, metastasisand relapse. To the best of our knowledge, there is a lack of reviews summarizing these studies. In this review, we systematicallyrecapitulated findings regarding the regulatory mechanisms of GCSCs, as well as therapies that target GCSCs, hoping tosupport the development of prognostic biomarkers and GCSCs-targeting anticancer therapies in GC.
Enhanced Locality Sensitive Clustering in High Dimensional Space
Gang Chen,Hao-Lin Gao,Bi-Cheng Li,Guo-En Hu 한국전기전자재료학회 2014 Transactions on Electrical and Electronic Material Vol.15 No.3
A dataset can be clustered by merging the bucket indices that come from the random projection of locality sensitivehashing functions. It should be noted that for this to work the merging interval must be calculated first. To improvethe feasibility of large scale data clustering in high dimensional space we propose an enhanced Locality SensitiveHashing Clustering Method. Firstly, multiple hashing functions are generated. Secondly, data points are projected tobucket indices. Thirdly, bucket indices are clustered to get class labels. Experimental results showed that on syntheticdatasets this method achieves high accuracy at much improved cluster speeds. These attributes make it well suited toclustering data in high dimensional space.
Potential Therapeutic Efficacy of Curcumin in Liver Cancer
Dai, Xin-Zheng,Yin, Hai-Tao,Sun, Ling-Fei,Hu, Xiang,Zhou, Chong,Zhou, Yun,Zhang, Wei,Huang, Xin-En,Li, Xiang-Cheng Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.6
Purpose: Liver cancer, one of the most common cancers in China, is reported to feature relatively high morbidity and mortality. Curcumin (Cum) is considered as a drug possessing anti-angiogenic, anti-inflammation and anti-oxidation effect. Previous research has demonstrated antitumor effects in a series of cancers. Materials and Methods: In this study the in vitro cytotoxicity of Cum was measured by MTT assay and pro-apoptotic effects were assessed by DAPI staining and measurement of caspase-3 activity. In vivo anti-hepatoma efficacy of Cum was assessed with HepG2 xenografts. Results: It is found that Cum dose-dependently inhibited cell growth in HepG2 cells with activation of apoptosis. Moreover, Cum delayed the growth of liver cancer in a dose-dependent manner in nude mice. Conclusions: Cum might be a promising phytomedicine in cancer therapy and further efforts are needed to explore this therapeutic strategy.