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  1. In spite of the implementation of control strategies in honey bee (Apis mellifera) keeping, the invasive parasitic mite Varroa destructor remains one of the main causes of colony losses in numerous countries. The...

    Authors: Matthieu Guichard, Vincent Dietemann, Markus Neuditschko and Benjamin Dainat

    Citation: Genetics Selection Evolution 2020 52:71

    Content type: Review

    Published on:

  2. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Anna Letko, Katie M. Minor, Vidhya Jagannathan, Franz R. Seefried, James R. Mickelson, Pieter Oliehoek and Cord Drögemüller

    Citation: Genetics Selection Evolution 2020 52:70

    Content type: Correction

    Published on:

    The original article was published in Genetics Selection Evolution 2020 52:61

  3. Breeders and geneticists use statistical models to separate genetic and environmental effects on phenotype. A common way to separate these effects is to model a descriptor of an environment, a contemporary gro...

    Authors: Maria L. Selle, Ingelin Steinsland, Owen Powell, John M. Hickey and Gregor Gorjanc

    Citation: Genetics Selection Evolution 2020 52:69

    Content type: Research Article

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  4. Tetradysmelia is a rare genetic disorder that is characterized by an extremely severe reduction of all limb parts distal of the scapula and pelvic girdle. We studied a Holstein Friesian backcross family with 2...

    Authors: Doreen Becker, Rosemarie Weikard, Christoph Schulze, Peter Wohlsein and Christa Kühn

    Citation: Genetics Selection Evolution 2020 52:68

    Content type: Research Article

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  5. French beef producers suffer from the decrease in profitability of their farms mainly because of the continuous increase in feed costs. Selection for feed efficiency in beef cattle represents a relevant soluti...

    Authors: Sébastien Taussat, Mekki Boussaha, Yuliaxis Ramayo-Caldas, Pauline Martin, Eric Venot, Gonzalo Cantalapiedra-Hijar, Chris Hozé, Sébastien Fritz and Gilles Renand

    Citation: Genetics Selection Evolution 2020 52:67

    Content type: Research Article

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  6. One objective of this study was to identify putative quantitative trait loci (QTL) that affect indicator phenotypes for growth, nitrogen, and carbon metabolism in muscle, liver, and adipose tissue, and for fee...

    Authors: Hanne Dvergedal, Thomas Nelson Harvey, Yang Jin, Jørgen Ødegård, Lars Grønvold, Simen Rød Sandve, Dag Inge Våge, Thomas Moen and Gunnar Klemetsdal

    Citation: Genetics Selection Evolution 2020 52:66

    Content type: Research Article

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  7. Inbreeding depression refers to the decrease in mean performance due to inbreeding. Inbreeding depression is caused by an increase in homozygosity and reduced expression of (on average) favourable dominance ef...

    Authors: Harmen P. Doekes, Piter Bijma, Roel F. Veerkamp, Gerben de Jong, Yvonne C. J. Wientjes and Jack J. Windig

    Citation: Genetics Selection Evolution 2020 52:64

    Content type: Research Article

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  8. Heat stress and fescue toxicosis caused by ingesting tall fescue infected with the endophytic fungus Epichloë coenophiala represent two of the most prevalent stressors to beef cattle in the United States and cost...

    Authors: Harly J. Durbin, Duc Lu, Helen Yampara-Iquise, Stephen P. Miller and Jared E. Decker

    Citation: Genetics Selection Evolution 2020 52:63

    Content type: Research Article

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  9. Inbreeding is caused by mating between related individuals and is associated with reduced fitness and performance (inbreeding depression). Several studies have detected heterogeneity in inbreeding depression a...

    Authors: Julia Poyato-Bonilla, Davinia I. Perdomo-González, María J. Sánchez-Guerrero, Luis Varona, Antonio Molina, Joaquim Casellas and Mercedes Valera

    Citation: Genetics Selection Evolution 2020 52:62

    Content type: Research Article

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  10. Leonberger is a giant dog breed formed in the 1850s in Germany. Its post-World War II popularity has resulted in a current global population of ~ 30,000 dogs. The breed has predispositions to neurodegenerative...

    Authors: Anna Letko, Katie M. Minor, Vidhya Jagannathan, Franz R. Seefried, James R. Mickelson, Pieter Oliehoek and Cord Drögemüller

    Citation: Genetics Selection Evolution 2020 52:61

    Content type: Research Article

    Published on:

    The Correction to this article has been published in Genetics Selection Evolution 2020 52:70

  11. Fighting and controlling epidemic and endemic diseases represents a considerable cost to livestock production. Much research is dedicated to breeding disease resilient livestock, but this is not yet a common o...

    Authors: Pieter W. Knap and Andrea Doeschl-Wilson

    Citation: Genetics Selection Evolution 2020 52:60

    Content type: Review

    Published on:

  12. Genetic analysis of gene expression level is a promising approach for characterizing candidate genes that are involved in complex economic traits such as meat quality. In the present study, we conducted expres...

    Authors: Yan Liu, Xiaolei Liu, Zhiwei Zheng, Tingting Ma, Ying Liu, Huan Long, Huijun Cheng, Ming Fang, Jing Gong, Xinyun Li, Shuhong Zhao and Xuewen Xu

    Citation: Genetics Selection Evolution 2020 52:59

    Content type: Research Article

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  13. Several studies have found that the growth rate of a pig is influenced by the genetics of the group members (indirect genetic effects). Accounting for these indirect genetic effects in a selection program may ...

    Authors: Bjarke G. Poulsen, Birgitte Ask, Hanne M. Nielsen, Tage Ostersen and Ole F. Christensen

    Citation: Genetics Selection Evolution 2020 52:58

    Content type: Research Article

    Published on:

  14. Most genomic predictions use a unique population that is split into a training and a validation set. However, genomic prediction using genetically heterogeneous training sets could provide more flexibility whe...

    Authors: Amir Aliakbari, Emilie Delpuech, Yann Labrune, Juliette Riquet and Hélène Gilbert

    Citation: Genetics Selection Evolution 2020 52:57

    Content type: Research Article

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  15. Over the last years, genome-wide association studies (GWAS) based on imputed whole-genome sequences (WGS) have been used to detect quantitative trait loci (QTL) and highlight candidate genes for important trai...

    Authors: Thierry Tribout, Pascal Croiseau, Rachel Lefebvre, Anne Barbat, Mekki Boussaha, Sébastien Fritz, Didier Boichard, Chris Hoze and Marie-Pierre Sanchez

    Citation: Genetics Selection Evolution 2020 52:55

    Content type: Research Article

    Published on:

  16. In this study, we assessed the accuracy of genomic prediction for carcass weight (CWT), marbling score (MS), eye muscle area (EMA) and back fat thickness (BFT) in Hanwoo cattle when using genomic best linear u...

    Authors: Sara de las Heras-Saldana, Bryan Irvine Lopez, Nasir Moghaddar, Woncheoul Park, Jong-eun Park, Ki Y. Chung, Dajeong Lim, Seung H. Lee, Donghyun Shin and Julius H. J. van der Werf

    Citation: Genetics Selection Evolution 2020 52:54

    Content type: Research Article

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  17. Traits recorded on animals that are raised in groups can be analysed with the social effects animal model (SAM). For multiple traits, this model specifies the genetic correlation structure more completely than...

    Authors: William Herrera-Cáceres and Juan Pablo Sánchez

    Citation: Genetics Selection Evolution 2020 52:53

    Content type: Research Article

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  18. Thousands of years of natural and artificial selection have resulted in indigenous cattle breeds that are well-adapted to the environmental challenges of their local habitat and thereby are considered as valua...

    Authors: Seyed Mohammad Ghoreishifar, Susanne Eriksson, Anna M. Johansson, Majid Khansefid, Sima Moghaddaszadeh-Ahrabi, Nahid Parna, Pourya Davoudi and Arash Javanmard

    Citation: Genetics Selection Evolution 2020 52:52

    Content type: Research Article

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  19. Temperament traits are of high importance across species. In humans, temperament or personality traits correlate with psychological traits and psychiatric disorders. In cattle, they impact animal welfare, prod...

    Authors: Roy Costilla, Kathryn E. Kemper, Enda M. Byrne, Laercio R. Porto-Neto, Roberto Carvalheiro, Deirdre C. Purfield, Jennifer L. Doyle, Donagh P. Berry, Stephen S. Moore, Naomi R. Wray and Ben J. Hayes

    Citation: Genetics Selection Evolution 2020 52:51

    Content type: Research Article

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  20. Edwardsiella tarda causes acute symptoms with ascites in Japanese flounder (Paralichthys olivaceus) and is a major problem for China’s aquaculture sector. Genomic selection (GS) has been widely adopted in breedin...

    Authors: Sheng Lu, Yang Liu, Xijiang Yu, Yangzhen Li, Yingming Yang, Min Wei, Qian Zhou, Jie Wang, Yingping Zhang, Weiwei Zheng and Songlin Chen

    Citation: Genetics Selection Evolution 2020 52:49

    Content type: Research Article

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  21. Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs us...

    Authors: Aoxing Liu, Mogens Sandø Lund, Didier Boichard, Emre Karaman, Bernt Guldbrandtsen, Sebastien Fritz, Gert Pedersen Aamand, Ulrik Sander Nielsen, Goutam Sahana, Yachun Wang and Guosheng Su

    Citation: Genetics Selection Evolution 2020 52:48

    Content type: Research Article

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  22. Bias has been reported in genetic or genomic evaluations of several species. Common biases are systematic differences between averages of estimated and true breeding values, and their over- or under-dispersion...

    Authors: Fernando L. Macedo, Ole F. Christensen, Jean-Michel Astruc, Ignacio Aguilar, Yutaka Masuda and Andrés Legarra

    Citation: Genetics Selection Evolution 2020 52:47

    Content type: Research Article

    Published on:

  23. Twenty-five phenotypes were measured as indicators of bull fertility (1099 Brahman and 1719 Tropical Composite bulls). Measurements included sperm morphology, scrotal circumference, and sperm chromatin phenoty...

    Authors: Marina R. S. Fortes, Laercio R. Porto-Neto, Nana Satake, Loan T. Nguyen, Ana Claudia Freitas, Thaise P. Melo, Daiane Cristina Becker Scalez, Ben Hayes, Fernanda S. S. Raidan, Antonio Reverter and Gry B. Boe-Hansen

    Citation: Genetics Selection Evolution 2020 52:46

    Content type: Research Article

    Published on:

  24. Competition is a common social interaction among shrimp and depending on its intensity, it can affect heritable variation and response to selection. Little is known about the variance of indirect genetic effec...

    Authors: Sheng Luan, Guangfeng Qiang, Baoxiang Cao, Kun Luo, Xianhong Meng, Baolong Chen and Jie Kong

    Citation: Genetics Selection Evolution 2020 52:45

    Content type: Research Article

    Published on:

  25. In this work, our aim was to generate a map of the copy number variations (CNV) segregating in a population of Murciano-Granadina goats, the most important dairy breed in Spain, and to ascertain the main biolo...

    Authors: Dailu Guan, Amparo Martínez, Anna Castelló, Vincenzo Landi, María Gracia Luigi-Sierra, Javier Fernández-Álvarez, Betlem Cabrera, Juan Vicente Delgado, Xavier Such, Jordi Jordana and Marcel Amills

    Citation: Genetics Selection Evolution 2020 52:44

    Content type: Research Article

    Published on:

  26. The indigenous cattle populations from Greece and Cyprus have decreased to small numbers and are currently at risk of extinction due to socio-economic reasons, geographic isolation and crossbreeding with comme...

    Authors: Dimitris Papachristou, Panagiota Koutsouli, George P. Laliotis, Elisabeth Kunz, Maulik Upadhyay, Doris Seichter, Ingolf Russ, Bunevski Gjoko, Nikolaos Kostaras, Iosif Bizelis and Ivica Medugorac

    Citation: Genetics Selection Evolution 2020 52:43

    Content type: Research Article

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  27. Preselection of candidates, hereafter referred to as preselection, is a common practice in breeding programs. Preselection can cause bias and accuracy loss in subsequent pedigree-based best linear unbiased pre...

    Authors: Ibrahim Jibrila, Jan ten Napel, Jeremie Vandenplas, Roel F. Veerkamp and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2020 52:42

    Content type: Research Article

    Published on:

  28. The objectives of this study were to evaluate genomic and microbial predictions of phenotypes for meat quality and carcass traits in swine, and to evaluate the contribution of host-microbiome interactions to t...

    Authors: Piush Khanal, Christian Maltecca, Clint Schwab, Justin Fix, Matteo Bergamaschi and Francesco Tiezzi

    Citation: Genetics Selection Evolution 2020 52:41

    Content type: Research Article

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  29. Assessment of genetic diversity and population structure provides important control metrics to avoid genetic erosion, inbreeding depression and crossbreeding between exotic and locally-adapted cattle breeds si...

    Authors: Gabriele Senczuk, Salvatore Mastrangelo, Elena Ciani, Luca Battaglini, Filippo Cendron, Roberta Ciampolini, Paola Crepaldi, Roberto Mantovani, Graziella Bongioni, Giulio Pagnacco, Baldassare Portolano, Attilio Rossoni, Fabio Pilla and Martino Cassandro

    Citation: Genetics Selection Evolution 2020 52:40

    Content type: Research Article

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  30. Accumulation of detrimental mutations in small populations leads to inbreeding depression of fitness traits and a higher frequency of genetic defects, thus increasing risk of extinction. Our objective was to q...

    Authors: Ino Curik, György Kövér, János Farkas, Zsolt Szendrő, Róbert Romvári, Johann Sölkner and Istvan Nagy

    Citation: Genetics Selection Evolution 2020 52:39

    Content type: Research Article

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  31. We describe the latest improvements to the long-range phasing (LRP) and haplotype library imputation (HLI) algorithms for successful phasing of both datasets with one million individuals and datasets genotyped...

    Authors: Daniel Money, David Wilson, Janez Jenko, Andrew Whalen, Steve Thorn, Gregor Gorjanc and John M. Hickey

    Citation: Genetics Selection Evolution 2020 52:38

    Content type: Research Article

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  32. Sequence-based genome-wide association studies (GWAS) provide high statistical power to identify candidate causal mutations when a large number of individuals with both sequence variant genotypes and phenotype...

    Authors: Irene van den Berg, Ruidong Xiang, Janez Jenko, Hubert Pausch, Mekki Boussaha, Chris Schrooten, Thierry Tribout, Arne B. Gjuvsland, Didier Boichard, Øyvind Nordbø, Marie-Pierre Sanchez and Mike E. Goddard

    Citation: Genetics Selection Evolution 2020 52:37

    Content type: Research Article

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  33. The shape of pig scapula is complex and is important for sow robustness and health. To better understand the relationship between 3D shape of the scapula and functional traits, it is necessary to build a model...

    Authors: Øyvind Nordbø

    Citation: Genetics Selection Evolution 2020 52:36

    Content type: Research Article

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  34. Base editing has the potential to improve important economic traits in agriculture and can precisely convert single nucleotides in DNA or RNA sequences into minimal double-strand DNA breaks (DSB). Adenine base...

    Authors: Shiwei Zhou, Yige Ding, Jiao Liu, Yao Liu, Xiaoe Zhao, Guanwei Li, Chenguang Zhang, Chao Li, Ying Wang, Peter Kalds, Yawei Gao, Bo Zong, Xiaoyu Huang, Shuhong Huang, Honghao Yu, Qifang Kou…

    Citation: Genetics Selection Evolution 2020 52:35

    Content type: Short communication

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  35. Pasteurellosis (Pasteurella infection) is one of the most common bacterial infections in rabbits on commercial farms and in laboratory facilities. Curative treatments using antibiotics are only partly efficient, ...

    Authors: Merina Shrestha, Hervé Garreau, Elodie Balmisse, Bertrand Bed’hom, Ingrid David, Edouard Guitton, Emmanuelle Helloin, Guillaume Lenoir, Mickaël Maupin, Raphaël Robert, Frédéric Lantier and Mélanie Gunia

    Citation: Genetics Selection Evolution 2020 52:34

    Content type: Research Article

    Published on:

  36. Natural and artificial directional selection in cosmopolitan and autochthonous pig breeds and wild boars have shaped their genomes and resulted in a reservoir of animal genetic diversity. Signatures of selecti...

    Authors: Samuele Bovo, Anisa Ribani, Maria Muñoz, Estefania Alves, Jose P. Araujo, Riccardo Bozzi, Marjeta Čandek-Potokar, Rui Charneca, Federica Di Palma, Graham Etherington, Ana I. Fernandez, Fabián García, Juan García-Casco, Danijel Karolyi, Maurizio Gallo, Vladimir Margeta…

    Citation: Genetics Selection Evolution 2020 52:33

    Content type: Research Article

    Published on:

  37. Cattle international genetic evaluations allow the comparison of estimated breeding values (EBV) across different environments, i.e. countries. For international evaluations, across-country genetic correlations (

    Authors: Renzo Bonifazi, Jeremie Vandenplas, Jan ten Napel, Kaarina Matilainen, Roel F. Veerkamp and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2020 52:32

    Content type: Research Article

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  38. The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix (A) (A-AM). After genomic selection was introduced into breeding programs, it was a...

    Authors: Lei Wang, Luc L. Janss, Per Madsen, John Henshall, Chyong-Huoy Huang, Danye Marois, Setegn Alemu, AC Sørensen and Just Jensen

    Citation: Genetics Selection Evolution 2020 52:31

    Content type: Research Article

    Published on:

  39. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Bin Yang, Leilei Cui, Miguel Perez-Enciso, Aleksei Traspov, Richard P. M. A. Crooijmans, Natalia Zinovieva, Lawrence B. Schook, Alan Archibald, Kesinee Gatphayak, Christophe Knorr, Alex Triantafyllidis, Panoraia Alexandri, Gono Semiadi, Olivier Hanotte, Deodália Dias, Peter Dovč…

    Citation: Genetics Selection Evolution 2020 52:30

    Content type: Correction

    Published on:

    The original article was published in Genetics Selection Evolution 2017 49:71

  40. Avian leukosis virus subgroup E (ALVE) insertions are endogenous retroviruses (ERV) that are restricted to the domestic chicken and its wild progenitor. In commercial chickens, ALVE are known to have a detrime...

    Authors: Andrew S. Mason, Katarzyna Miedzinska, Adebabay Kebede, Oladeji Bamidele, Ahmed S. Al-Jumaili, Tadelle Dessie, Olivier Hanotte and Jacqueline Smith

    Citation: Genetics Selection Evolution 2020 52:29

    Content type: Research Article

    Published on:

  41. In tropically-adapted beef heifers, application of genomic prediction for age at puberty has been limited due to low prediction accuracies. Our aim was to investigate novel methods of pre-selecting whole-genom...

    Authors: Christie L. Warburton, Bailey N. Engle, Elizabeth M. Ross, Roy Costilla, Stephen S. Moore, Nicholas J. Corbet, Jack M. Allen, Alan R. Laing, Geoffry Fordyce, Russell E. Lyons, Michael R. McGowan, Brian M. Burns and Ben J. Hayes

    Citation: Genetics Selection Evolution 2020 52:28

    Content type: Research Article

    Published on:

  42. Distinct domestication events, adaptation to different climatic zones, and divergent selection in productive traits have shaped the genomic differences between taurine and indicine cattle. In this study, we as...

    Authors: Marina Naval-Sánchez, Laercio R. Porto-Neto, Diercles F. Cardoso, Ben J. Hayes, Hans D. Daetwyler, James Kijas and Antonio Reverter

    Citation: Genetics Selection Evolution 2020 52:27

    Content type: Research Article

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  43. Estimating the genetic component of a complex phenotype is a complicated problem, mainly because there are many allele effects to estimate from a limited number of phenotypes. In spite of this difficulty, line...

    Authors: Giel H. H. van Bergen, Pascal Duenk, Cornelis A. Albers, Piter Bijma, Mario P. L. Calus, Yvonne C. J. Wientjes and Hilbert J. Kappen

    Citation: Genetics Selection Evolution 2020 52:26

    Content type: Research Article

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  44. In the Neolithic, domestic sheep migrated into Europe and subsequently spread in westerly and northwesterly directions. Reconstruction of these migrations and subsequent genetic events requires a more detailed...

    Authors: Elena Ciani, Salvatore Mastrangelo, Anne Da Silva, Fabio Marroni, Maja Ferenčaković, Paolo Ajmone-Marsan, Hayley Baird, Mario Barbato, Licia Colli, Chiara Delvento, Toni Dovenski, Gregor Gorjanc, Stephen J. G. Hall, Anila Hoda, Meng-Hua Li, Božidarka Marković…

    Citation: Genetics Selection Evolution 2020 52:25

    Content type: Research Article

    Published on:

  45. The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) is one of the single-step evaluations that enable a simultaneous analysis of phenotypic and pedigree information of ge...

    Authors: Jeremie Vandenplas, Herwin Eding, Maarten Bosmans and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2020 52:24

    Content type: Research Article

    Published on:

  46. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Ole F. Christensen, Bjarne Nielsen, Guosheng Su, Tao Xiang, Per Madsen, Tage Ostersen, Ingela Velander and Anders B. Strathe

    Citation: Genetics Selection Evolution 2020 52:23

    Content type: Correction

    Published on:

    The original article was published in Genetics Selection Evolution 2019 51:45

  47. Environmental variance (VE) is partly under genetic control and has recently been proposed as a measure of resilience. Unravelling the genetic background of the VE of complex traits could help to improve resilien...

    Authors: Cristina Casto-Rebollo, María José Argente, María Luz García, Romi Pena and Noelia Ibáñez-Escriche

    Citation: Genetics Selection Evolution 2020 52:22

    Content type: Research Article

    Published on:

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