Genetic sources for barley (<i>Hordeum vulgare</i>) breeding in the Volga-Vyatka region by O. N. Shupletsova, I. N. Shchennikova

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Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine by Xiaochen Zhang, Dongxiang Jiang

“…To predict the remaining life of ball screw, a screw remaining life prediction method based on quantum genetic algorithm (QGA) and support vector machine (SVM) is proposed. …”
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Genetic variability and association analyses of morphological and biochemical traits in Tamarindus indica L. clones by A. Mayavel1*, J. Padmanaban2, A. Nicodemus1, B. Nagarajan1, C. Bagathsingh1, M. Akshayasri1, G. Radha Krishnan 1 and M. Amaravel1

Subjects: “…genetic variability…”
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Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm by He Tian, Guoqiang Wang, Kangkang Sun, Zeren Chen, Chuliang Yan, Da Cui

“…To solve this problem, an improved genetic algorithm (IGA) combined with the global optimization characteristics of genetic algorithm (GA) and the local optimal solution of simulated annealing algorithm (SA) is proposed in this paper, which adopts SA in the process of selecting subpopulations. …”
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Absence of the Genetic Marker IS6110 from a Strain of Mycobacterium tuberculosis Isolated in Ontario by Susan T Howard, Matthew T Oughton, Albert Haddad, Wendy M Johnson

“…However, the insertion element IS6110, which is used for epidemiological tracing of M tuberculosis, was not detected in this strain by either restriction fragment length polymorphism analysis or by polymerase chain reaction. Two other genetic markers associated with the M tuberculosis complex, IS1081 and the direct repeat element, were present. …”
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The Symptom and Genetic Diversity of Cassava Brown Streak Viruses Infecting Cassava in East Africa by I. U. Mohammed, M. M. Abarshi, B. Muli, R. J. Hillocks, M. N. Maruthi

“…The genetic and symptom diversity of six virus isolates causing cassava brown streak disease (CBSD) in the endemic (Kenya, Mozambique, and Tanzania) and the recently affected epidemic areas (Uganda) of eastern Africa was studied. …”
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Genetic Variants in SNCA and the Risk of Sporadic Parkinson’s Disease and Clinical Outcomes: A Review by Clarissa Loureiro das Chagas Campêlo, Regina Helena Silva

“…There is increasing evidence of the contribution of genetic susceptibility to the etiology of Parkinson’s disease (PD). …”
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Hydrochemical Characteristics and Genetic Analysis of Shallow High-Fluorine Groundwater in Fuyang River Basin by Zhiwei Zhai, Chuanda Zhang, Tiansong Tang, Chunyan Zhang, Xing Bao, Kunchao Li, Bo Han

“…In order to understand the sustainable and effective utilization of groundwater resources in Fuyang River Basin, the chemical characteristics and genetic evolution process of characteristic shallow fluoride groundwater in the region were carried out. …”
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Late blight resistant potato hybrid clones in the VIR collection of plant genetic resources by E. V. Rogozina, N. A. Chalaya, M. A. Kuznetsova, V. N. Demidova, A. N. Rogozin, T. I. Smetanina, M. P. Beketova, O. A. Fadina, E. Е. Khavkin

“…Late blight (LB) causes serious damage to potato crop. The genetic diversity of potato and their wild relatives in the VIR collection served as the basis for creating interspecific hybrids.Objective of the study. …”
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Optimizing multiprocessor performance in real-time systems using an innovative genetic algorithm approach by Heba E. Hassan, Khaled Hosny Ibrahiem, Ahmed H. Madian

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Lipid Metabolism and its Relationship with Cardiovascular Diseases from a Biochemical and Genetic Approach by Myriam Lizeth Morales Pilataxi, Angélica Victoria Herrera Martínez, Diego Eduardo Guato Canchinia, Cristian Javier Calle Cárdenas

“…It is necessary to understand the relationship between lipid metabolism and these diseases from a biochemical and genetic perspective; biochemical aspects are important for the development of more precise therapeutic approaches and prevention strategies. …”
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Phenotypic insights into genetic risk factors for immune-related adverse events in cancer immunotherapy by Haochuan Ma, Dili Song, Haibo Zhang, Taidong Li, Xing Jin

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Detecting Genetic Associations between ATG5 and Lupus Nephritis by trans-eQTL by Yue-miao Zhang, Fa-juan Cheng, Xu-jie Zhou, Yuan-yuan Qi, Ping Hou, Ming-hui Zhao, Hong Zhang

“…Using the new systemic genetics approach, we identified 10 loci associated with susceptibility to LN potentially, which may be complementary to future pathway based genetic studies.…”
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Rainbow Connectivity Using a Rank Genetic Algorithm: Moore Cages with Girth Six by J. Cervantes-Ojeda, M. Gómez-Fuentes, D. González-Moreno, M. Olsen

“…In this work, we apply a Rank Genetic Algorithm to search for rainbow t-colorings of the family of Moore cages with girth six (t;6)-cages. …”
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The left amygdala is genetically sexually-dimorphic: multi-omics analysis of structural MRI volumes by Yuanyuan Gui, Geyu Zhou, Shuya Cui, Hongyu Li, Hui Lu, Hongyu Zhao

“…We identified sex-differentiated genetic effects of PRSs for schizophrenia on left amygdala volume, as well as significant sex-differentiated genetic correlations between PRSs of left amygdala and six traits in UKB. …”
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Molecular Genetic Assessment Aids in Clarifying Phylogenetic Status of Iranian Kerman Wild Sheep by Arsen V. Dotsev, Mohammad Hossein Moradi, Tatiana E. Deniskova, Ali Esmailizadeh, Neckruz F. Bakoev, Olga A. Koshkina, Darren K. Griffin, Michael N. Romanov, Natalia A. Zinovieva

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Genome sequencing enhances the diagnostic yield and expands the genetic landscape of male breast cancer by Wen Wen, Sen Zhao, Yiwen Jiang, Chengzhu Ou, Changyuan Guo, Ziqi Jia, Jiayi Li, Yansong Huang, Hengyi Xu, Pengming Pu, Tongxuan Shang, Lin Cong, Xiang Wang, Nan Wu, Jiaqi Liu

Subjects: “…Genetic testing…”
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Genetic Stability and Inbreeding in a Synthetic Maize Variety Based on a Finite Model by Juan Enrique Rodríguez-Pérez, Jaime Sahagún-Castellanos, Aureliano Peña-Lomelí, Clemente Villanueva-Verduzco, Denise Arellano-Suarez

“…This research aimed to evaluate the effect of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>m</mi></mrow></semantics></math></inline-formula> on the inbreeding coefficient (IC) of the SV (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>S</mi><mi>y</mi><msub><mrow><mi>n</mi></mrow><mrow><mi>L</mi></mrow></msub></mrow></semantics></math></inline-formula>) and on the stability of its genetic constitution. An SV formed by randomly mating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">l</mi></mrow></semantics></math></inline-formula> unrelated lines whose inbreeding coefficient is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi></mrow></semantics></math></inline-formula> was considered, and a random sample was taken from the genotypic array of the progeny produced by selfing a parental line <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi></mrow><mrow><mn>1</mn></mrow></msub><msub><mrow><mi>A</mi></mrow><mrow><mn>2</mn></mrow></msub><mo> </mo><mo>(</mo><mi>G</mi><mi>A</mi><mo>)</mo></mrow></semantics></math></inline-formula> This sample was visualized as a set of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>g</mi></mrow></semantics></math></inline-formula> groups of four plants whose genotypes are all four of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>A</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>e</mi></mrow></semantics></math></inline-formula> represented the number of plants that failed to form a group. …”
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Genetic polymorphisms and related risk factors of ischemic stroke in a Mongolian population in China by Q. Wu, H. Wu, Yu. L. Orlov, G. Gegentana, W. Huo, A. O. Bragin, N. Wu, S. Suyalatu, F. Zhao, J. Zhao, L. E. Tabikhanova, M. Chen, H. Bai

Subjects: “…population genetics…”
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Genetic Types and Main Control Factors of Microfractures in Tight Oil Reservoirs of Jimsar Sag by Xiangye Kong, Jianhui Zeng, Xianfeng Tan, Haowei Yuan, Dan Liu, Qun Luo, Qianyou Wang, Rusi Zuo

“…In this study, rock samples from the Lucaogou Formation tight reservoirs in Xinjiang, China, were studied using multidisciplinary techniques to investigate the genetic types and main control factors of microfractures. …”
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