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Sep 01, 2020Open    AccessArticle

A Consensus Mechanism Based on an Improved Genetic Algorithm

Chen Yang, Tao Wang, Kun Wang
An important feature of blockchain technology is that all participants jointly maintain transaction data and can achieve mutual trust relationships without integrated control, which relies on distributed consensus algorithms. Practical Byzantine Fault Tolerant algorithm (PBFT) is a fault-tolerant algorithm based on state machine replication, which solves the Byzantine error, that is, the malicious behavior of nodes. In PBFT, all participating nodes are divided into the primary node and backup no...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106713


Jun 24, 2020Open    AccessArticle

Study on Patterns of Human Cancer Using SSN Method

Chaoyu Zhang
Human cancer, which has complex pathogenesis, is generally relative to the dysfunction of biological systems. Thus, our research is not at molecular level, but at system level, i.e. molecular network. In this paper, specially, we use PPI network. In order to construct a PPI network, we used the SSN method which is proposed by Professor X. Liu and others. The SSN method is distinct from the traditional network methods, especially in screening differential expressed genes. Besides, the traditional...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106453


Mar 15, 2018Open    AccessArticle

Detection of Horizontal Transfer of Housekeeping and Hydrocarbons Catabolism Genes in Bacterial Genus with Potential to Application in Bioremediation Process

Edmo Montes Rodrigues, Fernanda de Souza Freitas, Tatiane de Paula Siqueira
In silico analysis can be useful to infer about the horizontal gene transfer (HGT) as well as to deduce about the evolutionary relations of catabolic genes. In this study, we performed the analysis of two housekeeping genes (fabD and rpoD) and two catabolic gene
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Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104454


Mar 12, 2018Open    AccessArticle

Different Protocols of Physical Training: Effect on Markers of Oxidative Stress in Erythrocytes in Rats

Marcelo Costa-Junior, Wener Barbosa-Resende, Michel Barbosa de Araújo, Rodrigo Augusto Dalia, Leandro Pereira de Moura, Luciana Alves de Medeiros, Lucas Moreira Cunha, Eliete Luciano
The imbalance between oxidant molecules and antioxidant agents is characterized as oxidative stress (OS) and may lead to severe damage to the organism. In contrast, the physical training of aerobic and resistive character promotes increases of the antioxidant response, resulting in a balance and/or minimizing damage. Therefore, the objective of the study is to verify the effect of aerobic training, resistive training and concurren
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Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104411


Jul 29, 2016Open    AccessArticle

Comprehensive Analysis of rsSNPs Associated with Hypertension Using In-Silico Bioinformatics Tools

Alsadig Gassoum, Nahla E. Abdelraheem, Nehad Elsadig
Genetic epidemiological studies have suggested that several genetic variants increase the risk for hypertension. It is likely that a number of genes rather than a single gene account for the heritability of this complex disorder. However, the genetic analysis of hypertension produced complex, inconsistent and nonreproducible results, which makes it difficult to draw conclusions about the association between specific genes and hype
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Open Access Library J. Vol.3, 2016
Doi:10.4236/oalib.1102839


Mar 30, 2016Open    AccessArticle

Gapped Motif Discovery with Multi-Objective Genetic Algorithm

U. Angela Makolo, Salihu O. Suberu
Motif discovery is one of the fundamental problems that have important applications in identifying drug targets and regulatory sites. Regulatory sites on DNA sequence normally correspond to shared conservative sequence patterns among the regulatory regions of correlated genes. These conserved sequence patterns are called motifs. Identifying motifs and corresponding instances is very important, so biologists can investigate the interactions between DNA and proteins, gene regulation, cell developm...
Open Access Library J. Vol.3, 2016
Doi:10.4236/oalib.1102293


Sep 24, 2014Open    AccessArticle

Comparative Analysis of Different Classifiers for the Wisconsin Breast Cancer Dataset

Leena Vig
The Wisconsin Breast Cancer Dataset has been heavily cited as a benchmark dataset for classification. Neural Network techniques such as Neural Networks, Probabilistic Neural Networks, and Regression Neural Networks have been shown to perform very well on this dataset. However, despite its obvious practical importance and implications for cancer research, a thorough investigation of all modern classification techniques on this dataset remains to be done. In this paper we examine the efficacy of c...
Open Access Library J. Vol.1, 2014
Doi:10.4236/oalib.1100660


Jun 05, 2014Open    AccessArticle

Research on Chromosome Karyotype Analysis of Plumbago auriculata

Chenyu Zhao,Fan Li,Suping Gao
In this study, the chromosome karyotype of Plumbago auriculata was analyzed by using a chro-mosome mounting technique with the primary root tip of seed germination. The aim was to find out the most suitable method for Plumbago auriculata by comparing the effect of different pretreatment and dissociation time on chromosome. The results showed that the best pretreatment was 0.05% colchicine solution under 0℃ - 4℃ or 2 h and then 1 mol/L HCL under 60℃ water for 6 min. Karyotype analysis of Plumbago...
Open Access Library J. Vol.1, 2014
Doi:10.4236/oalib.1100404


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