Anxiety disorder, depression and coronary artery disease: associations and modification by genetic susceptibility by Shinya Nakada, Joey Ward, Rona J. Strawbridge, Paul Welsh, Carlos Celis-Morales, Frederick K. Ho, Jill P. Pell

“…This study investigated how genetic susceptibility to CAD alters these associations with incident CAD, comparing and combining anxiety disorder and depression. …”
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Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning by Hsuan-Ta Lin, Po-Ming Lee, Tzu-Chien Hsiao

“…Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. …”
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Phylogeographic and genetic insights into Sinonychia martensi: an endemic cave-dwelling harvestman in Beijing by Ruoyi Xiao, Jingjing Zhao, Likun Zhao, Shahan Derkarabetian, Feng Zhang, Chao Zhang

“…We also investigated the genetic diversity, population genetic structure and demographic history of S. martensi to clarify the population-level relationships and make inferences about historical phylogeography. …”
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Functional Genetic Variant in ATG5 Gene Promoter in Acute Myocardial Infarction by Yexin Zhang, Xiaohui He, Jiarui Li, Wentao Yang, Yinghua Cui, Shuchao Pang, Haihua Wang, Bo Yan

“…In this study, the promoter of the ATG5 gene was genetically and functionally investigated in large groups of AMI patients (n = 378) and ethnic-matched healthy controls (n = 386). …”
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GENETIC POLYMORPHISM OF LOCI DETERMINING BREAD MAKING QUALITY IN UKRAINIAN WHEAT VARIETIES by S. V. Chebotar, E. M. Blagodarova, E. A. Kurakina, I. V. Semenyuk, A. M. Polishchuk, N. A. Kozub, I. A. Sozinov, A. N. Khokhlov, A. I. Ribalka, Yu. M. Sivolap

“…The paper presents an overview of studies of genetic polymorphism of loci determining bread-making quality among Ukrainian wheat varieties by means of electrophoretic analysis of storage proteins (Gli and  Glu) and PCR. …”
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Comparing Genetic Value of Bulls from Different Breeds: Across Breed EPDs by Gary R. Hansen

“…Hansen, describes how to use tables developed by the US Meat Animal Research Center (MARC) which provide adjustment factors to allow for the calculation of across-breed expected progeny differences (AB-EPDs) to assess genetic potential across different breeds. Published by the UF Department of Animal Science, March 2006. …”
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A manifesting female carrier of Duchenne muscular dystrophy: importance of genetics for the dystrophinopathies by Zhi Xuan Quak, Sarah Ming Li Tan, Kong Bing Tan, Weiqin Lin, Ping Chai, Kay Wei Ping Ng

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Genetic Diversity of Imipenem-Resistant Acinetobacter baumannii Infections at an Intensive Care Unit by Amani Alnimr, Aisha Alamri, Afnan Alsultan

“…The main aim of this study is to assess the genetic relatedness between IRAB isolates in our institution intensive care units (ICU) which are at a particular risk of outbreaks. …”
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Genetic structure and diversity of Mycoplasma hyopneumoniae based on a MLVA typing scheme by Pablo Tamiozzo, Virginia García, Raúl E. González-Ittig, Raúl E. González-Ittig, Maria Pieters, Maria Pieters, Maria Pieters

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Physiologically-based pharmacokinetic modeling of enantioselective hydroxychloroquine kinetics and impact of genetic polymorphisms by Gabriella de Souza Gomes Ribeiro, Leandro Francisco Pippa, Fernanda de Lima Moreira, Natália Valadares de Moraes

“…This work aimed to build physiologically-based pharmacokinetic (PBPK) models to predict the pharmacokinetics (PK) of R-and S-HCQ and assess the impact of major genetic polymorphisms on PK. Whole-body PBPK models accounting for first-order absorption, Rodgers and Rowland distribution method, and enzyme kinetics data were built for R-and S-HCQ. …”
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Genetic diversity atlas of Brucella melitensis strains from Sichuan Province, China by Wenbo Li, Linzi Zeng, Rongmei Yuan, Teng Qi, Hongyu Liao, Yuhangxi Cao, Shu Huang, Zhiguo Liu, Zhenjun Li

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Expression of catecholaminergic genes in the midbrain and prepulse inhibition in rats with a genetic catatonia by M. A. Ryazanova, O. I. Prokudina, V. S.  Plekanchuk, T. A. Alekhina

Subjects: “…genetic catatonia…”
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Genetic Analysis and Follow-Up of 25 Neonatal Diabetes Mellitus Patients in China by Bingyan Cao, Chunxiu Gong, Di Wu, Chaoxia Lu, Fang Liu, Xiaojing Liu, Yingxian Zhang, Yi Gu, Zhan Qi, Xiaoqiao Li, Min Liu, Wenjing Li, Chang Su, Xuejun Liang, Mei Feng

“…To study the clinical features, genetic etiology, and the correlation between phenotype and genotype of neonatal diabetes mellitus (NDM) in Chinese patients. …”
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Retracted: Improved Genetic Algorithm to Solve the Scheduling Problem of College English Courses by null Complexity

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Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm by Arebu Dejen, Murad Ridwan, Jeevani Jayasinghe, Jaume Anguera

“…The reference patch antenna was etched on a flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension of 18 mm × 18 mm × 0.6 mm and optimized the patch geometry using a binary-coded genetic algorithm. The algorithm iteratively creates a new shape of the path surface, evaluates the cost function, and returns the best-fitted geometry based on the formulated fitness function. …”
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High-Dimensional Cox Regression Analysis in Genetic Studies with Censored Survival Outcomes by Jinfeng Xu

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The 3rd National Symposium on Genetic Disorders: A Focus on Adult Genomics by Veronica Arora

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Genetic determinants of silver nanoparticle resistance and the impact of gamma irradiation on nanoparticle stability by Amira M. Mahfouz, Walaa A. Eraqi, Hala Nour El Din El Hifnawi, Alaa El Din Shawky, Reham Samir, Mohamed A. Ramadan

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Genetic Improvement of rice Grain size Using the CRISPR/Cas9 System by Tao Zhang, Zhengwei Wang, Qiaoquan Liu, Dongsheng Zhao

“…Abstract Rice grain size influences both grain yield and quality, making it a significant target for rice genetic improvement. In recent years, numerous genes related to grain size with differential effects have been cloned. …”
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A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing by Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen

“…Genetic algorithm is easy to fall into local optimal solution. …”
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