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Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two

Keywords： machine learning methods hypertrophic cardiomyopathy genetic risk

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Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Frontiers of Medicine 2018, Volume 12, Issue 6, Pages 601-607 doi: 10.1007/s11684-018-0648-6

Abstract: Longitudinal studies and randomized intervention trials have shown that genetic susceptibility to obesity

Keywords： diet genetic susceptibility obesity interaction

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s genetic

Keywords： design optimization genetic algorithm multiple populations neural network

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Research progress on genetic improvement of

Chuanping YANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 391-401 doi: 10.15302/J-FASE-2017183

Abstract: Over the past 30 years, effective progress has been made in genetic improvement and molecular breedingmolecular markers were developed and the high density genetic map constructed.All this research has provided a model and data for the foundation of forest genetic improvement and

Keywords： Betula platyphylla genetic improvement molecular breeding seed orchard

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Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3, Pages 305-318 doi: 10.15302/J-FASE-2017154

Abstract: focuses on dissection of genome structure and function to provide a molecular basis for understanding the geneticprogress of aquatic animals in nine aspects, including WGS and fine mapping, construction of high density genetic

Keywords： aquaculture genomics genetic breeding progress

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Search-and-replace editing of genetic information

Yao LIU, Xingxu HUANG, Xiaolong WANG

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2, Pages 231-232 doi: 10.15302/J-FASE-2020322

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Chao SUN, Meng LAI, Shougong ZHANG, Xiaomei SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 482-492 doi: 10.15302/J-FASE-2017184

Abstract: With the aim of performing efficient early selection for wood properties, we investigated genetic variationAfter the age of 6, genetic correlations were generally higher than phenotypic correlations.

Keywords： early selection genetic variation wood properties SilviScan Larix kaempferi

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Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4, Pages 318-322 doi: 10.1007/s11709-008-0055-1

Abstract: set of constraints of the Technical Specification for Light-weighted Steel Portal Frames of China, a geneticFinally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal

Keywords： satisfactory genetic-algorithm-based Technical Specification algorithm efficiency

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3, Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: The algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithm

Keywords： optimization surrogate models artificial neural network SAP2000 genetic algorithm

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Advances in genetic engineering of domestic animals

Shaohua WANG,Kun ZHANG,Yunping DAI

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1, Pages 1-10 doi: 10.15302/J-FASE-2016085

Abstract: Thus, genetic engineering of domestic animals presents a critical and valuable tool to address theseOverall, genetic engineering has evolved through three stages in history: transgenesis, gene targetingSince the birth of the first transgenic pig, genetic engineering in livestock has been advancing slowlyRecently, rapid progress in tools and methods of genome engineering has been made, allowing genetic editingHere, we review the major advances of genetic engineering in domestic animals with emphasis placed on

Keywords： CRISPR TALEN ZFN gene editing livestock pig cattle

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Plant genetic engineering and genetically modified crop breeding: history and current status

Xingchun WANG,Shujun CHANG,Jie LU,Rupert FRAY,Don GRIERSON,Yuanhuai HAN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1, Pages 5-27 doi: 10.15302/J-FASE-2017131

Abstract: This review charts the major developments in the genetic manipulation of plant cells that have takenThe toolkit available for genetic modification has expanded greatly since 1996 and recently Nobel Laureates

Keywords： plant transformation transgene genetic modification

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4, Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: and the minimum mass of the studied part, is proposed by combining the response surface method and geneticAnd a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization.

Keywords： planet carrier multi-objective optimization genetic algorithms wind turbine gearbox modal experiment

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 57-59

Abstract: text-align: justify;">A method that uses annealing algorithm to improve the inefficient local search of geneticThat method bases on analysis of the advantages and disadvantages of the annealing and the genetic algorithmalgorithm optimization is more rapidly in precision after annealing algorithm integration with the genetic

Keywords： genetic algorithm simulated annealing algorithm genetic algorithm improvement

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Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Frontiers in Energy 2014, Volume 8, Issue 4, Pages 459-463 doi: 10.1007/s11708-014-0335-5

Abstract: turbine cold-end system, was performed utilizing the back propagation (BP) neural network method with genetic

Keywords： optimization turbine cold-end system BP neural network genetic algorithm

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The Industry of Genetic Engineering

Shi Yuanchun

Strategic Study of CAE 2000, Volume 2, Issue 7, Pages 34-38

Abstract:

This article explains that modern biotechnology not only has a powerful spreading, driving force and economic value, but it also reserves a great potential to relax the global pressures from population, food, natural resources and environment. None of ohter technologies have such a power, or can replace biotechnology. The article also discusses the main contents of biotechnology and its new trends of industrialization. The author holds GMO food must be put in order by both science and relevant regulations, after reviewed the background and new trends of present GMO debate. The current debate has focused on the public acceptability, trade benefit and relevant policy on GMO food. GMO food will only be interrupted for the time being, and will have another development tide under the supervision of relevant laws and regulation. Finally, the paper proposes suggestions for the countermeasure and attitude that China should hold during the development and industrialization of modern biotechnology.

Keywords： genetic engineering industry gene modified organisms (GMO) countermeasure