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12. An Improved Matrix Algorithm for Fault Location in Distribution Network

Author

Ma Yi, Mao Yi, and Li Huijiao

Subjects
Engineering, business.industry, Real-time computing, Fault tolerance, Hardware_PERFORMANCEANDRELIABILITY, Grid, Fault (power engineering), Fault indicator, Stuck-at fault, Distortion, Fault coverage, Fault model, business, Algorithm
Abstract

The traditional matrix algorithm for fault location of distribution network is complex. Fault information distortion or missing information will cause the positioning error. Based on the principle of net-shaped matrix, a new algorithm for fault location in distribution network is put forward. The algorithm is good at accurate positioning in complex grid for not only a single fault or multiple faults, but also the faults of feeder ends. Meanwhile, it use the direction of the trend as a positive direction while the network is in normal operation, which makes the fault locationing easier. And the solutions are given for dealing with the fault information missing or information distortion. The simulation result shows that the algorithm reduces the location's search times effectively, and it has good ability of fault tolerance.

Published
2013

17. High Rate of Detection of Human ESPL1-HBV S Fusion Gene in Patients With HBV-related Liver Cancer: A Chinese Case-Control Study.

Author

Hu B, Huang W, Wang R, Zang W, Su M, Li H, Wang H, Cao B, Deng D, Li QQ, and Jiang J

Subjects
Carcinoma, Hepatocellular genetics, Carcinoma, Hepatocellular pathology, Case-Control Studies, Female, Gene Expression Regulation, Neoplastic, Hepatitis B, Chronic genetics, Humans, Liver Neoplasms pathology, Male, Middle Aged, Oncogene Proteins, Fusion metabolism, Separase metabolism, Viral Envelope Proteins genetics, Viral Envelope Proteins metabolism, Asian People, Hepatitis B virus genetics, Liver Neoplasms genetics, Oncogene Proteins, Fusion genetics, Separase genetics
Abstract

Aim: It has been shown that the integration of hepatitis B virus (HBV) gene into the host genome is a high-risk factor for development of hepatocellular carcinoma (HCC). However, the relationship between HBV S-integrated human extra spindle pole bodies-like 1 (ESPL1) gene and HCC is unknown. This study was designed to detect HBV S-integrated human ESPL1 fusion gene in patients with HCC for potentially using this fusion gene as a biomarker for HCC diagnosis., Patients and Methods: Nineteen and 70 patients with chronic hepatitis B (CHB) were recruited to the experimental and control groups, respectively, and both groups underwent an effective nucleoside/nucleotide analog therapy and follow-up for HCC occurrence for up to 11 years. HCC tissues were obtained by surgical resection from the experimental group, while liver tissues were collected by liver biopsy in the control group prior to treatment with nucleoside/nucleotide analogs. Alu polymerase chain reaction was used to assess HBV S gene integration in the liver tissues from both groups. HBV S-integrated human ESPL1 fusion gene was then detected in patients with HBV S gene integration using a gene database., Results: All patients in the experimental group developed HCC, whereas no HCC was diagnosed in the control group. HBV S gene integration was identified in 12 out of 19 HCC tissues in the experimental group, giving a detection rate of 63.2%, which was significantly greater than that of 15.7% (11/70) in the control group (p<0.001). We further showed that HBV S-integrated human ESPL1 fusion gene was detected in eight patients (rate of 66.7%) among the 12 patients with HCC with HBV S gene integration in the experimental group, whereas the fusion gene was not detectable in any of the patients in the control group (p=0.001)., Conclusion: This research demonstrates a high detection rate of HBV S-integrated human ESPL1 fusion gene in patients with HBV-related HCC and shows that this fusion gene appears to be associated with HCC development in patients with CHB. These findings suggest that HBV S-integrated human ESPL1 fusion gene may potentially serve as a biomarker for early detection of HCC in HBV-infected populations., (Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Published
2020
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