GENETIC CHARACTERIZATION OF AVIAN INFECTIOUS BRONCHITIS VIRUS ISOLATES RECOVERED IN CIS COUNTRIES IN 2015–2017 by L. O. Scherbakova, S. N. Kolosov, Z. B. Nikonova, N. G. Zinyakov, Ye. V. Ovchinnikova, I. A. Chvala

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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“…METHODS: A multi-objective optimization method, using the non-sorting genetic algorithm (NSGA-II), assesses energy efficiency by determining optimal wall types, insulation thickness, and insulation type. …”
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Legislation Related to the EU Mandatory Labeling System for Genetically Modified Foods and Enlightenments Drawn from It by ZHANG Jing, LUO Jiaoni

Subjects: “…european union; genetically modified foods; mandatory labeling; traceability…”
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Genetic resources of narrow-leaved lupine (Lupinus angustifolius L.) and their role in its domestication and breeding by M. A. Vishnyakova, E. V. Vlasova, G. P. Egorova

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Reduced Complexity Iterative Decoding of 3D-Product Block Codes Based on Genetic Algorithms by Abdeslam Ahmadi, Faissal El Bouanani, Hussain Ben-Azza, Youssef Benghabrit

“…Those features make the decoders based on genetic algorithms efficient and attractive.…”
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The high cancer incidence in young people in Italy: do genetic signatures reveal their environmental causes? by Ruggero Ridolfi

“…Connecting links amongst the external environment, cellular microenvironment and functional epigenetic and genetic mutations promote carcinogenesis. Today, the whole genome sequencing techniques for human cancers can help to formulate a map of mutational signatures in individual tumours, and a list of mutational fingerprints showing exposure to specific environmental mutagens is being developed. …”
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A Modified Decision Tree Algorithm Based on Genetic Algorithm for Mobile User Classification Problem by Dong-sheng Liu, Shu-jiang Fan

“…Aimed at the limitations of previous classification methods, this paper puts forward a modified decision tree algorithm for mobile user classification, which introduced genetic algorithm to optimize the results of the decision tree algorithm. …”
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Detecting Communities in Complex Networks Using an Adaptive Genetic Algorithm and Node Similarity-Based Encoding by Sajjad Hesamipour, Mohammad Ali Balafar, Saeed Mousazadeh

“…Among different community detection methods, genetic algorithms (GAs) have become popular. Considering the drawbacks of the currently used locus-based and solution-vector-based encodings to represent the individuals, in this article, we propose (1) a new node similarity-based encoding method, MST-based encoding, to represent a network partition as an individual, which can avoid the shortcomings of the previous encoding schemes. …”
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Molecular-cytogenetic analysis of triticale and wheat lines with introgressions of the tribe Triticeae species genetic material by O. A. Orlovskaya, I. N. Leonova, I. G. Adonina, E. A. Salina, L. V. Khotyleva, V. K. Shumny

“…It creates prerequisites for preservation of alien genetic material in subsequent generations.…”
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THE CURRENT STATE OF GENETIC AND METABOLIC ENGINEERING OF Geobacillus BACTERIA AIMED AT THE PRODUCTION OF ETHANOL AND ORGANIC ACIDS by A. S. Rozanov, I. A. Meshcheryakova, S. V. Shekhovtsov, S. E. Peltek

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Genetically Engineered Bacterial Ghosts as Vaccine Candidates Against <i>Klebsiella pneumoniae</i> Infection by Svetlana V. Dentovskaya, Anastasia S. Vagaiskaya, Alexandra S. Trunyakova, Alena S. Kartseva, Tatiana A. Ivashchenko, Vladimir N. Gerasimov, Mikhail E. Platonov, Victoria V. Firstova, Andrey P. Anisimov

“…<b>Background/Objectives</b> Bacterial ghosts (BGs), non-living empty envelopes of bacteria, are produced either through genetic engineering or chemical treatment of bacteria, retaining the shape of their parent cells. …”
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Genetic diversity studies for yield and physiological traits using principal component analysis in little millet by T. Venkata Ratnam1 and L. Madhavi Latha2*

“…Principal Component Analysis (PCA) was conducted to assess the genetic variability among 50 little millet genotypes based on yield and physiological traits. …”
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Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm by Yun Wang, Yu Zhou, Xuedong Yan

“…An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances. A genetic algorithm (GA) is designed to solve the model. …”
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Relationship between inherited genetic variation and survival from colorectal cancer stratified by tumour location by Christopher Wills, Katie Watts, Amy Houseman, Timothy S. Maughan, David Fisher, Nada A. Al-Tassan, Richard S. Houlston, Valentina Escott-Price, Jeremy P. Cheadle

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Estimation of the Genetic Substitution Rate of Hanwoo and Holstein Cattle Using Whole Genome Sequencing Data by Young-Sup Lee, Donghyun Shin

Subjects: “…genetic substitution rate…”
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Clustering and Prediction Analysis of the Coordinated Development of China’s Regional Economy Based on Immune Genetic Algorithm by Yang Yang

“…Therefore, on the basis of studying the related theories of genetic algorithm and artificial immune algorithm, this paper uses the advantages of the two algorithms, combines the two algorithms, and proposes an improved algorithm for genetic algorithm-adaptive immune genetic algorithm. …”
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Hybridization potential and genetic influence of parental varieties on fruit size and set rate in Gleditsia sinensis by Qingying Zeng, Yang Zhao, Xiurong Wang, Fuhua Liu, Meixuan Xie, Xingfu Zhang

“…We also evaluated the genetic characteristics of parentage on the fruit size and fruit set rate of Gleditsia sinensis. …”
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Genetic Diversity Analysis of Sugarcane Parents in Chinese Breeding Programmes Using gSSR Markers by Qian You, Liping Xu, Yifeng Zheng, Youxiong Que

“…The values of genetic diversity parameters across the populations indicate that the genetic variation intrapopulation (90.5%) was much larger than that of interpopulation (9.5%). …”
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Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction by Wei Nie, Shuxian Liu, Hang Yin, Shasha Lu, Dongxu Zhao, Hong Xu

“…The results show that the improved multipopulation genetic algorithm method has faster convergence speed and greater accuracy than the traditional genetic algorithm; thus it can be applied to the TMDs parameter optimization of high-rise buildings. …”
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A Heuristic Genetic Algorithm for Regional Targets’ Small Satellite Image Downlink Scheduling Problem by Yan-Jie Song, Zhong-Shan Zhang, Kai Sun, Feng Yao, Ying-Wu Chen

“…We compare the effect of HGA, basic genetic algorithm (GA), and construction heuristic algorithm. …”
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