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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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Clinical and genetic risk factors for venous thromboembolism in Chinese population

Chen WANG PhD, MD, Zhen-Guo ZHAI PhD, MD, Ying H. SHEN PhD, MD, Lan ZHAO PhD, MD,

Frontiers of Medicine 2010, Volume 4, Issue 1, Pages 29-35 doi: 10.1007/s11684-010-0012-y

Abstract: The most important and effective way to reduce VTE incidence is to identify the patients at risk andMajor risk factors for VTE include surgery and trauma, acute medical illness, active cancer and pregnancyGenetic factors increase susceptibility to the disease and are useful in predicting the development ofThis brief review summarizes some selected clinical and genetic risk factors for VTE based on the current

Keywords： risk factor stroke prothrombin plasminogen activator inhibitor type-1 polymorphism thrombophilia biomarker

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Factors influencing peak bone mass gain

Xiaowei Zhu, Houfeng Zheng

Frontiers of Medicine 2021, Volume 15, Issue 1, Pages 53-69 doi: 10.1007/s11684-020-0748-y

Abstract: studies have shown that a 10% increase in peak bone mass (PBM) at the population level reduces the riskmaximize PBM among adolescents and young people, and thus to reduce the low bone mass or osteoporosis risk

Keywords： peak bone mass children adolescents genetic risk factors

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Research on Forecasting Model of Seismic Disaster Risk Based on GA-ANN

Liu Mingguang,Guo Zhanglin

Strategic Study of CAE 2006, Volume 8, Issue 3, Pages 83-86

Abstract:

This paper discerns and analyzes some main factors influencing seismic disasters risk at first, andthen, the forecasting model of seismic risk based on the genetic algorithm and artificial neural networksA kind of forecasting method of seismic disaster risk is presented to decision making departments.

Keywords： seismic disaster factors of risk artificial neural networks genetic algorithm forecasting

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U-shaped association between telomere length and esophageal squamous cell carcinoma risk: a case-control

Jiangbo Du,Wenjie Xue,Yong Ji,Xun Zhu,Yayun Gu,Meng Zhu,Cheng Wang,Yong Gao,Juncheng Dai,Hongxia Ma,Yue Jiang,Jiaping Chen,Zhibin Hu,Guangfu Jin,Hongbing Shen

Frontiers of Medicine 2015, Volume 9, Issue 4, Pages 478-486 doi: 10.1007/s11684-015-0420-0

Abstract: ESCC cases and 1433 controls) to evaluate the associations between telomere length, TL-SNPs, and ESCC riskMore interestingly, an evident nonlinear U-shaped association was observed between RTL and ESCC riskThese findings suggest that either short or extremely long telomeres may be risk factors for ESCC in

Keywords： esophageal squamous cell carcinoma telomere length genetic variants susceptibility genome-wide association

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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 obesitymay interact with dietary factors in relation to the body mass index and risk of 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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Understanding and addressing the environmental risk of microplastics

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1612-5

Abstract: Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on

Keywords： Emerging contaminants Microplastics Environment risk Health effect

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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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Title Author Date Type Operation

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Journal Article

Clinical and genetic risk factors for venous thromboembolism in Chinese population

Chen WANG PhD, MD, Zhen-Guo ZHAI PhD, MD, Ying H. SHEN PhD, MD, Lan ZHAO PhD, MD,

Journal Article

Factors influencing peak bone mass gain

Xiaowei Zhu, Houfeng Zheng

Journal Article

Research on Forecasting Model of Seismic Disaster Risk Based on GA-ANN

Liu Mingguang,Guo Zhanglin

Journal Article

U-shaped association between telomere length and esophageal squamous cell carcinoma risk: a case-control

Jiangbo Du,Wenjie Xue,Yong Ji,Xun Zhu,Yayun Gu,Meng Zhu,Cheng Wang,Yong Gao,Juncheng Dai,Hongxia Ma,Yue Jiang,Jiaping Chen,Zhibin Hu,Guangfu Jin,Hongbing Shen

Journal Article

Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Journal Article

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

Tugrul TALASLIOGLU

Journal Article

Research progress on genetic improvement of

Chuanping YANG

Journal Article

Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN