{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T17:45:37Z","timestamp":1785519937954,"version":"3.56.0"},"reference-count":117,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s00500-022-07515-9","type":"journal-article","created":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T18:02:30Z","timestamp":1665252150000},"page":"3169-3201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Elitist random swapped particle swarm optimization embedded with variable k-nearest neighbour classification: a new PSO variant applied to gene identification"],"prefix":"10.1007","volume":"27","author":[{"given":"Biswajit","family":"Jana","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sriyankar","family":"Acharyya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,10,8]]},"reference":[{"issue":"2","key":"7515_CR1","first-page":"107","volume":"6","author":"TC Allawh","year":"2017","unstructured":"Allawh TC, Brown BS (2017) The clinical manifestations and genetic implications of Baraitser-Winter syndrome type 2. J Pediat Genet 6(2):107","journal-title":"J Pediat Genet"},{"key":"7515_CR2","doi-asserted-by":"crossref","unstructured":"Bansal JC et al. (2011) Inertia weight strategies in particle swarm optimization. In: 2011 Third world congress on nature and biologically inspired computing, October. IEEE, 633\u2013640","DOI":"10.1109\/NaBIC.2011.6089659"},{"key":"7515_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12064-016-0224-z","volume":"135","author":"S Biswas","year":"2016","unstructured":"Biswas S, Acharyya S (2016) Neural model of gene regulatory network: a survey on supportive meta-heuristics. Theory Biosci 135:1\u201319","journal-title":"Theory Biosci"},{"issue":"3","key":"7515_CR4","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1007\/s12539-017-0276-x","volume":"11","author":"S Biswas","year":"2019","unstructured":"Biswas S, Dutta S, Acharyya S (2019) Identification of disease critical genes using collective meta-heuristic approaches: an application to preeclampsia. Interdiscipl Sci: Computat Life Sci 11(3):444\u2013459","journal-title":"Interdiscipl Sci: Computat Life Sci"},{"key":"7515_CR5","unstructured":"Brew O (2018) Placental genomics: regulatory roles of histamine in preeclampsia (Doctoral dissertation, University of West London)"},{"issue":"3","key":"7515_CR6","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1093\/humupd\/dms060","volume":"19","author":"AJ Buurma","year":"2013","unstructured":"Buurma AJ et al (2013) Genetic variants in preeclampsia: a meta-analysis. Hum Reprod Update 19(3):289\u2013303","journal-title":"Hum Reprod Update"},{"key":"7515_CR7","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.engappai.2018.01.009","volume":"70","author":"Y Chen","year":"2018","unstructured":"Chen Y et al (2018) Particle swarm optimizer with crossover operation. Eng Appl Artif Intell 70:159\u2013169","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"7515_CR8","doi-asserted-by":"publisher","first-page":"012065","DOI":"10.1088\/1757-899X\/864\/1\/012065","volume":"864","author":"CF Chen","year":"2020","unstructured":"Chen CF, Zain AM, Mo LP, Zhou KQ (2020) A new hybrid algorithm based on ABC and PSO for function optimization. IOP Conf Series: Mater Sci Eng 864(1):012065. https:\/\/doi.org\/10.1088\/1757-899X\/864\/1\/012065","journal-title":"IOP Conf Series: Mater Sci Eng"},{"issue":"33","key":"7515_CR9","doi-asserted-by":"crossref","first-page":"11213","DOI":"10.1523\/JNEUROSCI.0521-12.2012","volume":"32","author":"AS Chen-Plotkin","year":"2012","unstructured":"Chen-Plotkin AS et al (2012) TMEM106B, the risk gene for frontotemporal dementia, is regulated by the microRNA-132\/212 cluster and affects progranulin pathways. J Neurosci 32(33):11213\u201311227","journal-title":"J Neurosci"},{"issue":"1","key":"7515_CR10","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/1755-8794-4-8","volume":"4","author":"JH Cho","year":"2011","unstructured":"Cho JH et al (2011) Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes. BMC Med Genomics 4(1):8","journal-title":"BMC Med Genomics"},{"issue":"1","key":"7515_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13023-020-01472-y","volume":"15","author":"P Colas","year":"2020","unstructured":"Colas P (2020) Cyclin-dependent kinases and rare developmental disorders. Orphanet J Rare Dis 15(1):1\u201314","journal-title":"Orphanet J Rare Dis"},{"issue":"5","key":"7515_CR12","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1165\/rcmb.2015-0020TR","volume":"53","author":"VJ Craig","year":"2015","unstructured":"Craig VJ et al (2015) Matrix metalloproteinases as therapeutic targets for idiopathic pulmonary fibrosis. Am J Respir Cell Mol Biol 53(5):585\u2013600","journal-title":"Am J Respir Cell Mol Biol"},{"key":"7515_CR13","doi-asserted-by":"crossref","unstructured":"Das P, Jana B, Acharyya S (2021) A new variant of genetic algorithm for solving gene selection problem. In: Proceedings of the sixth international conference on mathematics and computing pp. 309\u2013324. Springer, Singapore","DOI":"10.1007\/978-981-15-8061-1_25"},{"issue":"1","key":"7515_CR14","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.ygeno.2017.07.010","volume":"110","author":"M Dashtban","year":"2018","unstructured":"Dashtban M, Balafar M, Suravajhala P (2018) Gene selection for tumor classification using a novel bio-inspired multi-objective approach. Genomics 110(1):10\u201317","journal-title":"Genomics"},{"issue":"14","key":"7515_CR15","doi-asserted-by":"crossref","first-page":"18798","DOI":"10.18632\/oncotarget.7711","volume":"7","author":"P De Luca","year":"2016","unstructured":"De Luca P et al (2016) CtBP1 associates metabolic syndrome and breast carcinogenesis targeting multiple miRNAs. Oncotarget 7(14):18798","journal-title":"Oncotarget"},{"issue":"6","key":"7515_CR16","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1093\/bib\/bbs046","volume":"14","author":"MA Dillies","year":"2013","unstructured":"Dillies MA et al (2013) A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Brief Bioinform 14(6):671\u2013683","journal-title":"Brief Bioinform"},{"key":"7515_CR17","doi-asserted-by":"crossref","first-page":"41","DOI":"10.3389\/fphar.2015.00041","volume":"6","author":"N Divorty","year":"2015","unstructured":"Divorty N et al (2015) G protein-coupled receptor 35: an emerging target in inflammatory and cardiovascular disease. Front Pharmacol 6:41","journal-title":"Front Pharmacol"},{"issue":"2","key":"7515_CR18","doi-asserted-by":"crossref","first-page":"189","DOI":"10.2217\/epi-2016-0138","volume":"9","author":"C Do","year":"2017","unstructured":"Do C, Xing Z, Yu YE, Tycko B (2017) Trans-acting epigenetic effects of chromosomal aneuploidies: lessons from Down syndrome and mouse models. Epigenomics 9(2):189\u2013207","journal-title":"Epigenomics"},{"issue":"1","key":"7515_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41439-019-0044-z","volume":"6","author":"M Doubkov\u00e1","year":"2019","unstructured":"Doubkov\u00e1 M et al (2019) A novel germline mutation of the SFTPA1 gene in familial interstitial pneumonia. Human Genome Variat 6(1):1\u20136","journal-title":"Human Genome Variat"},{"key":"7515_CR20","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.compbiomed.2017.07.015","volume":"89","author":"P Dutta","year":"2017","unstructured":"Dutta P, Saha S (2017) Fusion of expression values and protein interaction information using multi-objective optimization for improving gene clustering. Comput Biol Med 89:31\u201343","journal-title":"Comput Biol Med"},{"key":"7515_CR21","unstructured":"Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory, In: Proceedings of the sixth international symposium on micro machine and human science, IEEE 39\u201343"},{"key":"7515_CR22","first-page":"179","volume-title":"Methods in enzymology","author":"MB Eisen","year":"1999","unstructured":"Eisen MB, Brown PO (1999) DNA arrays for analysis of gene expression. Methods in enzymology, vol 303. Academic Press, Cambridge, pp 179\u2013205"},{"issue":"11","key":"7515_CR23","doi-asserted-by":"crossref","first-page":"1857","DOI":"10.1002\/int.22275","volume":"35","author":"M Elsisi","year":"2020","unstructured":"Elsisi M (2020) Optimal design of nonlinear model predictive controller based on new modified multitracker optimization algorithm. Int J Intell Syst 35(11):1857\u20131878","journal-title":"Int J Intell Syst"},{"issue":"24","key":"7515_CR24","doi-asserted-by":"crossref","first-page":"8467","DOI":"10.3390\/s21248467","volume":"21","author":"M Elsisi","year":"2021","unstructured":"Elsisi M, Tran MQ (2021) Development of an IoT architecture based on a deep neural network against cyber attacks for automated guided vehicles. Sensors 21(24):8467","journal-title":"Sensors"},{"issue":"24","key":"7515_CR25","doi-asserted-by":"crossref","first-page":"3231","DOI":"10.3390\/math9243231","volume":"9","author":"M Elsisi","year":"2021","unstructured":"Elsisi M, Zaini HG, Mahmoud K, Bergies S, Ghoneim SS (2021) Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm. Mathematics 9(24):3231","journal-title":"Mathematics"},{"key":"7515_CR26","doi-asserted-by":"crossref","unstructured":"Elsisi M (2022) Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system. Artificial intelligence review, 1\u201324","DOI":"10.1007\/s10462-022-10137-0"},{"key":"7515_CR27","doi-asserted-by":"crossref","unstructured":"Engelbrecht AP, Cleghorn CW (2020) Recent advances in particle swarm optimization analysis and understanding. In: Proceedings of the 2020 genetic and evolutionary computation conference companion, July. 747\u2013774","DOI":"10.1145\/3377929.3389850"},{"issue":"10","key":"7515_CR28","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1093\/abbs\/gmv076","volume":"47","author":"X Fang","year":"2015","unstructured":"Fang X et al (2015) The NEK1 interactor, C21ORF2, is required for efficient DNA damage repair. Acta Biochim Biophys Sin 47(10):834\u2013841","journal-title":"Acta Biochim Biophys Sin"},{"issue":"3","key":"7515_CR29","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1158\/1541-7786.MCR-17-0373","volume":"16","author":"FJ Gassner","year":"2018","unstructured":"Gassner FJ et al (2018) Imprecision and DNA break repair biased towards incompatible end joining in leukemia. Mol Cancer Res 16(3):428\u2013438","journal-title":"Mol Cancer Res"},{"key":"7515_CR30","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/978-1-4614-8051-8_10","volume-title":"Advances in chronic lymphocytic leukemia","author":"AK Ghosh","year":"2013","unstructured":"Ghosh AK, Kay NE (2013) Critical signal transduction pathways in CLL. In: Malek S (ed) Advances in chronic lymphocytic leukemia. Springer, New York, pp 215\u2013239"},{"issue":"13","key":"7515_CR31","doi-asserted-by":"crossref","first-page":"4002","DOI":"10.1182\/blood-2004-02-0494","volume":"104","author":"CS Gricks","year":"2004","unstructured":"Gricks CS et al (2004) Differential regulation of gene expression following CD40 activation of leukemic compared to healthy B cells. Blood 104(13):4002\u20134009","journal-title":"Blood"},{"issue":"1","key":"7515_CR32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-018-07882-8","volume":"10","author":"H Guo","year":"2019","unstructured":"Guo H et al (2019) Disruptive mutations in TANC2 define a neurodevelopmental syndrome associated with psychiatric disorders. Nat Commun 10(1):1\u201317","journal-title":"Nat Commun"},{"key":"7515_CR33","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.asoc.2014.06.034","volume":"23","author":"H Hakl\u0131","year":"2014","unstructured":"Hakl\u0131 H, U\u011fuz H (2014) A novel particle swarm optimization algorithm with Levy flight. Appl Soft Comput 23:333\u2013345","journal-title":"Appl Soft Comput"},{"issue":"3","key":"7515_CR34","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1182\/blood.V99.3.1023","volume":"99","author":"TJ Hamblin","year":"2002","unstructured":"Hamblin TJ et al (2002) CD38 expression and immunoglobulin variable region mutations are independent prognostic variables in chronic lymphocytic leukemia, but CD38 expression may vary during the course of the disease. Blood 99(3):1023\u20131029","journal-title":"Blood"},{"issue":"8","key":"7515_CR35","first-page":"1","volume":"20","author":"F Han","year":"2019","unstructured":"Han F, Tang D, Sun YWT, Cheng Z, Jiang J, Li QW (2019) A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization. BMC Bioinfo 20(8):1\u201313","journal-title":"BMC Bioinfo"},{"issue":"14","key":"7515_CR36","doi-asserted-by":"crossref","first-page":"10771","DOI":"10.1007\/s00500-019-04580-5","volume":"24","author":"R Hemalatha","year":"2020","unstructured":"Hemalatha R, Prakash R, Sivapragash C (2020) Analysis on energy consumption in smart grid WSN using path operator calculus centrality based HSA-PSO algorithm. Soft Comput 24(14):10771\u201310783","journal-title":"Soft Comput"},{"issue":"12","key":"7515_CR37","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0113735","volume":"9","author":"I Hromadnikova","year":"2014","unstructured":"Hromadnikova I et al (2014) First trimester screening of circulating C19MC microRNAs can predict subsequent onset of gestational hypertension. PLoS ONE 9(12):e113735","journal-title":"PLoS ONE"},{"issue":"2","key":"7515_CR38","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1161\/HYPERTENSIONAHA.111.180232","volume":"59","author":"O Ishibashi","year":"2012","unstructured":"Ishibashi O et al (2012) Hydroxysteroid (17-\u03b2) dehydrogenase 1 is dysregulated by miR-210 and miR-518c that are aberrantly expressed in preeclamptic placentas: a novel marker for predicting preeclampsia. Hypertension 59(2):265","journal-title":"Hypertension"},{"key":"7515_CR39","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8737649","author":"A Izzo","year":"2017","unstructured":"Izzo A et al (2017) Overexpression of chromosome 21 miRNAs may affect mitochondrial function in the hearts of down syndrome fetuses. Int J Geno. https:\/\/doi.org\/10.1155\/2017\/8737649","journal-title":"Int J Geno"},{"key":"7515_CR40","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.swevo.2018.02.013","volume":"44","author":"M Jain","year":"2019","unstructured":"Jain M, Singh V, Rani A (2019) A novel nature-inspired algorithm for optimization: squirrel search algorithm. Swarm Evol Comput 44:148\u2013175","journal-title":"Swarm Evol Comput"},{"key":"7515_CR41","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.asoc.2018.09.027","volume":"74","author":"B Jana","year":"2019","unstructured":"Jana B, Mitra S, Acharyya S (2019) Repository and mutation based particle swarm optimization (RMPSO): a new PSO variant applied to reconstruction of gene regulatory network. Appl Soft Comput 74:330\u2013355","journal-title":"Appl Soft Comput"},{"issue":"12","key":"7515_CR42","doi-asserted-by":"crossref","first-page":"1960","DOI":"10.1016\/j.bbadis.2012.08.004","volume":"1822","author":"J Jebbink","year":"2012","unstructured":"Jebbink J et al (2012) Molecular genetics of preeclampsia and HELLP syndrome\u2014a review. Biochimica et Biophysica Acta (BBA)-Molec Basis Dis 1822(12):1960\u20131969","journal-title":"Biochimica et Biophysica Acta (BBA)-Molec Basis Dis"},{"issue":"5","key":"7515_CR43","doi-asserted-by":"crossref","first-page":"51","DOI":"10.3390\/jcm6050051","volume":"6","author":"AS Jee","year":"2017","unstructured":"Jee AS et al (2017) Role of autoantibodies in the diagnosis of connective-tissue disease ILD (CTD-ILD) and interstitial pneumonia with autoimmune features (IPAF). J Clin Med 6(5):51","journal-title":"J Clin Med"},{"issue":"5","key":"7515_CR44","first-page":"346","volume":"1","author":"DF Jelinek","year":"2003","unstructured":"Jelinek DF et al (2003) Identification of a global gene expression signature of b-chronic lymphocytic leukemia1 1 Mayo Comprehensive Cancer Center, National Cancer Institute CA91542 (awarded to NE Kay), and generous philanthropic support provided by Edson Spencer. Mol Can Res 1(5):346\u2013361","journal-title":"Mol Can Res"},{"key":"7515_CR45","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.asoc.2016.02.018","volume":"43","author":"R Jensi","year":"2016","unstructured":"Jensi R, Jiji GW (2016) An enhanced particle swarm optimization with levy flight for global optimization. Appl Soft Comput 43:248\u2013261","journal-title":"Appl Soft Comput"},{"key":"7515_CR46","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1016\/j.asoc.2014.10.026","volume":"26","author":"AR Jordehi","year":"2015","unstructured":"Jordehi AR (2015) Enhanced leader PSO (ELPSO): a new PSO variant for solving global optimisation problems. Appl Soft Comput 26:401\u2013417","journal-title":"Appl Soft Comput"},{"issue":"1","key":"7515_CR47","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1016\/j.eswa.2014.08.014","volume":"42","author":"S Kar","year":"2015","unstructured":"Kar S, Sharma KD, Maitra M (2015) Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique. Expert Syst Appl 42(1):612\u2013627","journal-title":"Expert Syst Appl"},{"key":"7515_CR48","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart RC (1995) Particle swarm optimization, In: Proceeding of the international conference on neural networks, IEEE, 4, 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"7515_CR49","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-022-07033-8","author":"AH Khan","year":"2022","unstructured":"Khan AH, Ahmed S, Bera SK, Mirjalili S, Oliva D, Sarkar R (2022) Enhancing the contrast of the grey-scale image based on meta-heuristic optimization algorithm. Soft Comp. https:\/\/doi.org\/10.1007\/s00500-022-07033-8","journal-title":"Soft Comp"},{"issue":"3","key":"7515_CR50","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1111\/cas.14303","volume":"111","author":"K Kimura","year":"2020","unstructured":"Kimura K et al (2020) ARL4C is associated with initiation and progression of lung adenocarcinoma and represents a therapeutic target. Cancer Sci 111(3):951","journal-title":"Cancer Sci"},{"issue":"1","key":"7515_CR51","first-page":"1","volume":"3","author":"TJ Kipps","year":"2017","unstructured":"Kipps TJ et al (2017) Chronic lymphocytic leukaemia. Nat Rev Dis Primers 3(1):1\u201322","journal-title":"Nat Rev Dis Primers"},{"key":"7515_CR52","doi-asserted-by":"crossref","first-page":"4658","DOI":"10.1016\/j.procs.2021.09.244","volume":"192","author":"J Ko\u0142odziejczyk","year":"2021","unstructured":"Ko\u0142odziejczyk J, Tarasenko Y (2021) Particle swarm optimization and L\u00b4 evy flight integration. Procedia Comp Sci 192:4658\u20134671","journal-title":"Procedia Comp Sci"},{"issue":"13","key":"7515_CR53","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.1038\/sj.onc.1207385","volume":"23","author":"S Lee","year":"2004","unstructured":"Lee S et al (2004) Frameshift mutation in the Dok1 gene in chronic lymphocytic leukemia. Oncogene 23(13):2287\u20132297","journal-title":"Oncogene"},{"issue":"5","key":"7515_CR54","doi-asserted-by":"crossref","first-page":"4661","DOI":"10.1016\/j.eswa.2010.07.053","volume":"38","author":"CP Lee","year":"2011","unstructured":"Lee CP et al (2011) Gene selection and sample classification on microarray data based on adaptive genetic algorithm\/k-nearest neighbor method. Expert Syst Appl 38(5):4661\u20134667","journal-title":"Expert Syst Appl"},{"issue":"12","key":"7515_CR55","doi-asserted-by":"crossref","first-page":"1131","DOI":"10.1093\/bioinformatics\/17.12.1131","volume":"17","author":"L Li","year":"2001","unstructured":"Li L, Weinberg CR, Darden TA, Pedersen LG (2001) Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA\/KNN method. Bioinformatics 17(12):1131\u20131142","journal-title":"Bioinformatics"},{"key":"7515_CR56","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/978-1-4615-0873-1_7","volume-title":"Methods of microarray data analysis","author":"L Li","year":"2002","unstructured":"Li L, Pedersen LG, Darden TA, Weinberg CR (2002) Computational analysis of leukemia microarray expression data using the GA\/KNN method. Methods of microarray data analysis. Springer, Boston, pp 81\u201395"},{"key":"7515_CR57","unstructured":"Li XL, Serra R, Julien O (2019) Effects of the particle swarm optimization parameters for structural dynamic monitoring of cantilever beam, July"},{"key":"7515_CR58","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.asoc.2019.01.047","volume":"77","author":"A Lin","year":"2019","unstructured":"Lin A et al (2019) Adaptive comprehensive learning particle swarm optimization with cooperative archive. Appl Soft Comput 77:533\u2013546","journal-title":"Appl Soft Comput"},{"key":"7515_CR59","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106284","volume":"93","author":"A Maity","year":"2020","unstructured":"Maity A, Das S (2020) Efficient hybrid local search heuristics for solving the travelling thief problem. Appl Soft Comput 93:106284","journal-title":"Appl Soft Comput"},{"issue":"19","key":"7515_CR60","doi-asserted-by":"crossref","first-page":"14503","DOI":"10.1007\/s00500-020-04802-1","volume":"24","author":"N Mansouri","year":"2020","unstructured":"Mansouri N, Javidi MM (2020) A review of data replication based on meta-heuristics approach in cloud computing and data grid. Soft Comput 24(19):14503\u201314530","journal-title":"Soft Comput"},{"issue":"2","key":"7515_CR61","first-page":"76","volume":"4","author":"MK Mateos","year":"2015","unstructured":"Mateos MK et al (2015) Down syndrome and leukemia: insights into leukemogenesis and translational targets. Translat Pediat 4(2):76","journal-title":"Translat Pediat"},{"issue":"4","key":"7515_CR62","doi-asserted-by":"crossref","first-page":"286","DOI":"10.31768\/2312-8852.2017.39(4):286-290","volume":"39","author":"A Matveeva","year":"2017","unstructured":"Matveeva A et al (2017) The TGF-beta\u2014SMAD pathway is inactivated in cronic lymphocytic leukemia cells. Exp Oncol 39(4):286\u2013290","journal-title":"Exp Oncol"},{"issue":"22","key":"7515_CR63","doi-asserted-by":"crossref","DOI":"10.1172\/jci.insight.131597","volume":"4","author":"JE McDonough","year":"2019","unstructured":"McDonough JE et al (2019) Transcriptional regulatory model of fibrosis progression in the human lung. JCI Insight 4(22):e131597","journal-title":"JCI Insight"},{"key":"7515_CR64","doi-asserted-by":"crossref","unstructured":"Minami T (2011). Down syndrome expressed protein; DSCR-1 Deters Cancer and Septic Inflammation. Gene Etiol Down Syndrome, 121","DOI":"10.5772\/20975"},{"key":"7515_CR65","doi-asserted-by":"crossref","unstructured":"Mohamad MS, Omatu S, Deris S, Yoshioka M, Zainal A (2009) An improved binary particle swarm optimisation for gene selection in classifying cancer classes. In: International work-conference on artificial neural networks, June, Springer, Berlin, Heidelberg, pp. 495\u2013502","DOI":"10.1007\/978-3-642-02481-8_72"},{"issue":"2","key":"7515_CR66","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.jpedsurg.2011.11.018","volume":"47","author":"SW Moore","year":"2012","unstructured":"Moore SW, Zaahl MG (2012) Intronic RET gene variants in Down syndrome\u2013associated Hirschsprung disease in an African population. J Pediatr Surg 47(2):299\u2013302","journal-title":"J Pediatr Surg"},{"key":"7515_CR67","unstructured":"Moore AW (2001) Cross-validation for detecting and preventing overfitting, School of Computer Science Carneigie Mellon University"},{"issue":"6","key":"7515_CR68","doi-asserted-by":"crossref","first-page":"4645","DOI":"10.1007\/s00500-019-04226-6","volume":"24","author":"F Moslehi","year":"2020","unstructured":"Moslehi F, Haeri A, Mart\u00ednez-\u00c1lvarez F (2020) A novel hybrid GA\u2013PSO framework for mining quantitative association rules. Soft Comput 24(6):4645\u20134666","journal-title":"Soft Comput"},{"issue":"7","key":"7515_CR69","doi-asserted-by":"crossref","first-page":"1898","DOI":"10.1016\/j.celrep.2018.10.061","volume":"25","author":"CT Mowery","year":"2018","unstructured":"Mowery CT et al (2018) Trisomy of a Down syndrome critical region globally amplifies transcription via HMGN1 overexpression. Cell Rep 25(7):1898\u20131911","journal-title":"Cell Rep"},{"issue":"6","key":"7515_CR70","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1161\/HYPERTENSIONAHA.113.01168","volume":"61","author":"JE Myers","year":"2013","unstructured":"Myers JE et al (2013) Integrated proteomics pipeline yields novel biomarkers for predicting preeclampsia. Hypertension 61(6):1281\u20131288","journal-title":"Hypertension"},{"issue":"5","key":"7515_CR71","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1016\/j.jaci.2008.02.003","volume":"121","author":"T Nakashima","year":"2008","unstructured":"Nakashima T et al (2008) Suppressor of cytokine signaling 1 inhibits pulmonary inflammation and fibrosis. J Allergy Clin Immunol 121(5):1269\u20131276","journal-title":"J Allergy Clin Immunol"},{"key":"7515_CR72","unstructured":"National Institute of General Medical Sciences, October, 2017,<https:\/\/www.nigms.nih.gov\/education\/Documents\/pharma\/newline cogenomics1.pdf"},{"issue":"12","key":"7515_CR73","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1038\/ejhg.2015.51","volume":"23","author":"J Nevado","year":"2015","unstructured":"Nevado J et al (2015) PIAS4 is associated with macro\/microcephaly in the novel interstitial 19p13. 3 microdeletion\/microduplication syndrome. Eur J Human Genet 23(12):1615\u20131626","journal-title":"Eur J Human Genet"},{"issue":"10","key":"7515_CR74","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1038\/ejhg.2016.25","volume":"24","author":"V Nofrini","year":"2016","unstructured":"Nofrini V, Di Giacomo D, Mecucci C (2016) Nucleoporin genes in human diseases. Eur J Hum Genet 24(10):1388\u20131395","journal-title":"Eur J Hum Genet"},{"issue":"12","key":"7515_CR75","doi-asserted-by":"crossref","first-page":"4056","DOI":"10.1096\/fj.201600373R","volume":"30","author":"X Peng","year":"2016","unstructured":"Peng X et al (2016) Plexin C1 deficiency permits synaptotagmin 7\u2013mediated macrophage migration and enhances mammalian lung fibrosis. FASEB J 30(12):4056\u20134070","journal-title":"FASEB J"},{"key":"7515_CR76","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.asoc.2018.06.019","volume":"71","author":"Y Prasad","year":"2018","unstructured":"Prasad Y, Biswas KK, Hanmandlu M (2018) A recursive PSO scheme for gene selection in microarray data. Appl Soft Comput 71:213\u2013225","journal-title":"Appl Soft Comput"},{"issue":"24","key":"7515_CR77","doi-asserted-by":"crossref","first-page":"18349","DOI":"10.1007\/s00500-020-05034-z","volume":"24","author":"JS Priya","year":"2020","unstructured":"Priya JS, Femina MA, Samuel RA (2020) APSO-MVS: an adaptive particle swarm optimization incorporating multiple velocity strategies for optimal leader selection in hybrid MANETs. Soft Comput 24(24):18349\u201318365","journal-title":"Soft Comput"},{"key":"7515_CR78","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-021-06610-7","author":"V Puri","year":"2022","unstructured":"Puri V, Chauhan YK (2022) Offline parameter estimation of a modified permanent magnet generator using GSA and GSA-PSO. Soft Comput. https:\/\/doi.org\/10.1007\/s00500-021-06610-7","journal-title":"Soft Comput"},{"issue":"4s","key":"7515_CR79","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1038\/ng1032","volume":"32","author":"J Quackenbush","year":"2002","unstructured":"Quackenbush J (2002) Microarray data normalization and transformation. Nat Genet 32(4s):496","journal-title":"Nat Genet"},{"key":"7515_CR80","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2021.1962747","author":"R Ramaswamy","year":"2021","unstructured":"Ramaswamy R, Kandhasamy P, Palaniswamy S (2021) Feature selection for Alzheimer\u2019s gene expression data using modified binary particle swarm optimization. IETE J Res. https:\/\/doi.org\/10.1080\/03772063.2021.1962747","journal-title":"IETE J Res"},{"key":"7515_CR81","doi-asserted-by":"crossref","first-page":"110535","DOI":"10.1109\/ACCESS.2020.3002725","volume":"8","author":"HT Rauf","year":"2020","unstructured":"Rauf HT, Shoaib U, Lali MI, Alhaisoni M, Irfan MN, Khan MA (2020) Particle swarm optimization with probability sequence for global optimization. IEEE Access 8:110535\u2013110549","journal-title":"IEEE Access"},{"issue":"1","key":"7515_CR82","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1165\/rcmb.2006-0262OC","volume":"37","author":"BM Rotoli","year":"2007","unstructured":"Rotoli BM et al (2007) Alveolar macrophages from normal subjects lack the NOS-related system y+ for arginine transport. Am J Respir Cell Mol Biol 37(1):105\u2013112","journal-title":"Am J Respir Cell Mol Biol"},{"key":"7515_CR83","doi-asserted-by":"crossref","unstructured":"Saha S, Biswas S, Acharyya S (2016) Gene selection by sample classification using k nearest neighbor and meta-heuristic algorithms. In: 2016 IEEE 6th International conference on advanced computing (IACC), IEEE, February. 250\u2013255","DOI":"10.1109\/IACC.2016.55"},{"key":"7515_CR84","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.proeng.2012.06.005","volume":"38","author":"B Sahu","year":"2012","unstructured":"Sahu B, Mishra D (2012) A novel feature selection algorithm using particle swarm optimization for cancer microarray data. Procedia Engineering 38:27\u201331","journal-title":"Procedia Engineering"},{"key":"7515_CR85","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2019.01303","author":"MM Saldarriaga","year":"2019","unstructured":"Saldarriaga MM et al (2019) A case of CCDC6-RET fusion mutation in adult acute lymphoblastic leukemia (ALL), a known activating mutation reported in ALL. Front Oncol. https:\/\/doi.org\/10.3389\/fonc.2019.01303","journal-title":"Front Oncol"},{"issue":"4","key":"7515_CR86","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1159\/000478958","volume":"42","author":"Y Shao","year":"2017","unstructured":"Shao Y, Chen J, Zheng J, Liu CR (2017) Effect of histone deacetylase HDAC3 on cytokines IL-18, IL-12 and TNF-\u03b1 in patients with intrahepatic cholestasis of pregnancy. Cell Physiol Biochem 42(4):1294\u20131302","journal-title":"Cell Physiol Biochem"},{"issue":"50","key":"7515_CR87","doi-asserted-by":"crossref","first-page":"19932","DOI":"10.1073\/pnas.0805003105","volume":"105","author":"TV Sharp","year":"2008","unstructured":"Sharp TV et al (2008) The chromosome 3p21 3-encoded gene, LIMD1, is a critical tumor suppressor involved in human lung cancer development. Proceed Nat Acad Sci 105(50):19932\u201319937","journal-title":"Proceed Nat Acad Sci"},{"key":"7515_CR88","unstructured":"Shi Y, Eberhart RC (1998) A modified particle swarm optimizer, In: Proceedings of the international conference on evolutionary computation, IEEE, 69\u201373"},{"issue":"3","key":"7515_CR89","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1177\/1535370217733426","volume":"243","author":"W Slikker Jr","year":"2018","unstructured":"Slikker W Jr (2018) Biomarkers and their impact on precision medicine. Exp Biol Med 243(3):211","journal-title":"Exp Biol Med"},{"key":"7515_CR90","doi-asserted-by":"crossref","unstructured":"Stock CJ et al (2019) Bromodomain and extraterminal (BET) protein inhibition restores redox balance and inhibits myofibroblast activation. BioMed Research International","DOI":"10.1155\/2019\/1484736"},{"key":"7515_CR91","unstructured":"Suganthan PN et al (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. KanGAL Report, 2005005 (2005), 2005"},{"key":"7515_CR92","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.16220","volume":"5","author":"KD Sullivan","year":"2016","unstructured":"Sullivan KD et al (2016) Trisomy 21 consistently activates the interferon response. Elife 5:e16220","journal-title":"Elife"},{"issue":"12","key":"7515_CR93","doi-asserted-by":"crossref","first-page":"3143","DOI":"10.1002\/ajmg.a.38495","volume":"173","author":"EZ Taskiran","year":"2017","unstructured":"Taskiran EZ et al (2017) Homozygous indel mutation in CDH11 as the probable cause of Elsahy-Waters syndrome. Am J Med Genet A 173(12):3143\u20133152","journal-title":"Am J Med Genet A"},{"key":"7515_CR94","doi-asserted-by":"crossref","unstructured":"Thanendrarajan S, Kim Y, Schmidt-Wolf IGH (2011) Understanding and targeting the Wnt\/\u03b2-catenin signaling pathway in chronic leukemia. Leukemia research and treatment","DOI":"10.4061\/2011\/329572"},{"key":"7515_CR95","volume":"184","author":"MQ Tran","year":"2021","unstructured":"Tran MQ, Elsisi M, Liu MK (2021) Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis. Measurement 184:109962","journal-title":"Measurement"},{"key":"7515_CR96","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.isatra.2021.07.005","volume":"125","author":"MQ Tran","year":"2022","unstructured":"Tran MQ, Liu MK, Elsisi M (2022) Effective multi-sensor data fusion for chatter detection in milling process. ISA Trans 125:514\u2013527","journal-title":"ISA Trans"},{"key":"7515_CR97","unstructured":"US Food and Drug Administration (2019) FDA warns about rare but severe lung inflammation with Ibrance, Kisqali, and Verzenio for breast cancer"},{"key":"7515_CR98","doi-asserted-by":"crossref","unstructured":"Utami DA, Rustam Z (2019) Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine. In: AIP conference proceedings (Vol. 2168, No. 1, p. 020047), November. AIP Publishing LLC","DOI":"10.1063\/1.5132474"},{"key":"7515_CR99","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/632732","author":"FJ Valenzuela","year":"2012","unstructured":"Valenzuela FJ et al (2012) Pathogenesis of preeclampsia: the genetic component. J Pregn. https:\/\/doi.org\/10.1155\/2012\/632732","journal-title":"J Pregn"},{"issue":"1","key":"7515_CR100","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1186\/1471-2164-12-229","volume":"12","author":"M Vilardell","year":"2011","unstructured":"Vilardell M et al (2011) Meta-analysis of heterogeneous Down Syndrome data reveals consistent genome-wide dosage effects related to neurological processes. BMC Genomics 12(1):229","journal-title":"BMC Genomics"},{"issue":"3","key":"7515_CR101","doi-asserted-by":"crossref","first-page":"1098","DOI":"10.1096\/fj.13-235044","volume":"28","author":"DM Walters","year":"2014","unstructured":"Walters DM et al (2014) Genetic susceptibility to interstitial pulmonary fibrosis in mice induced by vanadium pentoxide (V2O5). FASEB J 28(3):1098\u20131112","journal-title":"FASEB J"},{"issue":"1","key":"7515_CR102","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ajog.2006.01.079","volume":"195","author":"L Wang","year":"2006","unstructured":"Wang L, Feng Y et al (2006) Prolylcarboxypeptidase gene, chronic hypertension, and risk of preeclampsia. Am J Obstet Gynecol 195(1):162\u2013171","journal-title":"Am J Obstet Gynecol"},{"issue":"26","key":"7515_CR103","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1056\/NEJMoa1109016","volume":"365","author":"L Wang","year":"2011","unstructured":"Wang L et al (2011) SF3B1 and other novel cancer genes in chronic lymphocytic leukemia. N Engl J Med 365(26):2497\u20132506","journal-title":"N Engl J Med"},{"issue":"1","key":"7515_CR104","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40747-020-00148-1","volume":"7","author":"H Wang","year":"2021","unstructured":"Wang H, Liang M, Sun C, Zhang G, Xie L (2021) Multiple-strategy learning particle swarm optimization for large-scale optimization problems. Complex & Intelligent Systems 7(1):1\u201316","journal-title":"Complex & Intelligent Systems"},{"issue":"3","key":"7515_CR105","doi-asserted-by":"crossref","first-page":"257","DOI":"10.3109\/10641955.2013.796970","volume":"32","author":"WM White","year":"2013","unstructured":"White WM et al (2013) Genome-wide methylation profiling demonstrates hypermethylation in maternal leukocyte DNA in preeclamptic compared to normotensive pregnancies. Hypertens Pregnancy 32(3):257\u2013269","journal-title":"Hypertens Pregnancy"},{"issue":"4","key":"7515_CR106","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.bpobgyn.2011.02.007","volume":"25","author":"PJ Williams","year":"2011","unstructured":"Williams PJ, Pipkin FB (2011) The genetics of pre-eclampsia and other hypertensive disorders of pregnancy. Best Pract Res Clin Obstet Gynaecol 25(4):405\u2013417","journal-title":"Best Pract Res Clin Obstet Gynaecol"},{"key":"7515_CR107","doi-asserted-by":"crossref","first-page":"368","DOI":"10.3389\/fphy.2020.00368","volume":"8","author":"X Xia","year":"2020","unstructured":"Xia X, Li S (2020) Research on improved chaotic particle optimization algorithm based on complex function. Frontiers in Physics 8:368","journal-title":"Frontiers in Physics"},{"key":"7515_CR108","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1016\/j.asoc.2017.08.051","volume":"61","author":"W Ye","year":"2017","unstructured":"Ye W, Feng W, Fan S (2017) A novel multi-swarm particle swarm optimization with dynamic learning strategy. Appl Soft Comput 61:832\u2013843","journal-title":"Appl Soft Comput"},{"issue":"5","key":"7515_CR109","doi-asserted-by":"crossref","first-page":"422","DOI":"10.2174\/1574893614666190204150918","volume":"14","author":"M Ye","year":"2019","unstructured":"Ye M, Wang W, Yao C, Fan R, Wang P (2019) Gene selection method for microarray data classification using particle swarm optimization and neighborhood rough set. Curr Bioinform 14(5):422\u2013431","journal-title":"Curr Bioinform"},{"issue":"1","key":"7515_CR110","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1186\/s12864-015-2189-6","volume":"16","author":"S Yepes","year":"2015","unstructured":"Yepes S, Torres MM, L\u00f3pez-Kleine L (2015) Regulatory network reconstruction reveals genes with prognostic value for chronic lymphocytic leukemia. BMC Genomics 16(1):1002","journal-title":"BMC Genomics"},{"issue":"4","key":"7515_CR111","first-page":"668","volume":"125","author":"M Yildiz","year":"2015","unstructured":"Yildiz M et al (2015) Activating STAT6 mutations in follicular lymphoma Blood. J Am Soci Hematol 125(4):668\u2013679","journal-title":"J Am Soci Hematol"},{"issue":"1","key":"7515_CR112","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1186\/1471-2105-8-370","volume":"8","author":"JG Zhang","year":"2007","unstructured":"Zhang JG, Deng HW (2007) Gene selection for classification of microarray data based on the Bayes error. BMC Bioinformatics 8(1):370","journal-title":"BMC Bioinformatics"},{"key":"7515_CR113","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.ins.2022.01.075","volume":"593","author":"X Zhang","year":"2022","unstructured":"Zhang X, Lin Q (2022) Three-learning strategy particle swarm algorithm for global optimization problems. Inf Sci 593:289\u2013313","journal-title":"Inf Sci"},{"key":"7515_CR114","first-page":"1","volume":"47","author":"K Zhang","year":"2019","unstructured":"Zhang K, Huang Q, Zhang Y (2019) Enhancing comprehensive learning particle swarm optimization with local optima topology. Inf Sci 47:1\u201318","journal-title":"Inf Sci"},{"key":"7515_CR115","doi-asserted-by":"crossref","first-page":"101118","DOI":"10.1109\/ACCESS.2020.2998324","volume":"8","author":"X Zhang","year":"2020","unstructured":"Zhang X, Zhao K, Wang L, Wang Y, Niu Y (2020) An improved squirrel search algorithm with reproductive behavior. IEEE Access 8:101118\u2013101132","journal-title":"IEEE Access"},{"key":"7515_CR116","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6291968","author":"T Zheng","year":"2019","unstructured":"Zheng T, Luo W (2019) An improved squirrel search algorithm for optimization. Complexity. https:\/\/doi.org\/10.1155\/2019\/6291968","journal-title":"Complexity"},{"issue":"7","key":"7515_CR117","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1007\/s00500-013-1153-0","volume":"18","author":"X Zuo","year":"2014","unstructured":"Zuo X, Xiao L (2014) A DE and PSO based hybrid algorithm for dynamic optimization problems. Soft Comput 18(7):1405\u20131424","journal-title":"Soft Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07515-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-022-07515-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07515-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T11:47:21Z","timestamp":1728128841000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-022-07515-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,8]]},"references-count":117,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["7515"],"URL":"https:\/\/doi.org\/10.1007\/s00500-022-07515-9","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,8]]},"assertion":[{"value":"15 September 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}