{"id":"https://openalex.org/W2941035892","doi":"https://doi.org/10.1109/access.2019.2912638","title":"Numerical Method to Compute Hypha Tip Growth for Data Driven Validation","display_name":"Numerical Method to Compute Hypha Tip Growth for Data Driven Validation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2941035892","doi":"https://doi.org/10.1109/access.2019.2912638","mag":"2941035892"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2912638","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2912638","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08697341.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08697341.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080533944","display_name":"Thomas Geert de Jong","orcid":"https://orcid.org/0000-0001-8295-6898"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas G. De Jong","raw_affiliation_strings":["Bernoulli Institute, University of Groningen, Groningen, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8295-6898","affiliations":[{"raw_affiliation_string":"Bernoulli Institute, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073475103","display_name":"Alef Sterk","orcid":"https://orcid.org/0000-0003-4127-1598"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alef E. Sterk","raw_affiliation_strings":["Bernoulli Institute, University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bernoulli Institute, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101556960","display_name":"Feng Guo","orcid":"https://orcid.org/0000-0001-8131-9301"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Guo","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-8131-9301","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3796,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56910086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"53766","last_page":"53776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10497","display_name":"Fungal and yeast genetics research","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10497","display_name":"Fungal and yeast genetics research","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11927","display_name":"Plant Reproductive Biology","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12934","display_name":"Plant and fungal interactions","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypha","display_name":"Hypha","score":0.6972370147705078},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5438147783279419},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.4950088858604431},{"id":"https://openalex.org/keywords/viscosity","display_name":"Viscosity","score":0.4816240668296814},{"id":"https://openalex.org/keywords/numerical-analysis","display_name":"Numerical analysis","score":0.47650566697120667},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.467459499835968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.428450345993042},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.41267046332359314},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3759695589542389},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.3710102140903473},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3560822606086731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29015225172042847},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.279509961605072},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14089113473892212}],"concepts":[{"id":"https://openalex.org/C90080823","wikidata":"https://www.wikidata.org/wiki/Q193129","display_name":"Hypha","level":2,"score":0.6972370147705078},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5438147783279419},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.4950088858604431},{"id":"https://openalex.org/C127172972","wikidata":"https://www.wikidata.org/wiki/Q128709","display_name":"Viscosity","level":2,"score":0.4816240668296814},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.47650566697120667},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.467459499835968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.428450345993042},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.41267046332359314},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3759695589542389},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.3710102140903473},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3560822606086731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29015225172042847},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.279509961605072},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14089113473892212},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2019.2912638","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2912638","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08697341.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.rug.nl:openaire/8c15a382-674c-4dc9-8365-a59bae3f6ba0","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/8c15a382-674c-4dc9-8365-a59bae3f6ba0","pdf_url":"https://research.rug.nl/files/100807026/08697341.pdf","source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"De Jong, T G, Sterk, A E & Guo, F 2019, 'Numerical method to compute hypha tip growth for data driven validation', IEEE Access, vol. 7, pp. 53766-53776. https://doi.org/10.1109/ACCESS.2019.2912638","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.rug.nl:publications/8c15a382-674c-4dc9-8365-a59bae3f6ba0","is_oa":true,"landing_page_url":"https://hdl.handle.net/11370/8c15a382-674c-4dc9-8365-a59bae3f6ba0","pdf_url":"https://pure.rug.nl/ws/files/100807026/08697341.pdf","source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De Jong, T G, Sterk, A E & Guo, F 2019, 'Numerical method to compute hypha tip growth for data driven validation', IEEE Access, vol. 7, pp. 53766-53776. https://doi.org/10.1109/ACCESS.2019.2912638","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:31507d59ffca4630b2b508832c8fb92c","is_oa":true,"landing_page_url":"https://doaj.org/article/31507d59ffca4630b2b508832c8fb92c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 53766-53776 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2912638","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2912638","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08697341.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2292257045","display_name":null,"funder_award_id":"639.033.008","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941035892.pdf","grobid_xml":"https://content.openalex.org/works/W2941035892.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1657471402","https://openalex.org/W1824069006","https://openalex.org/W1983612390","https://openalex.org/W2007219510","https://openalex.org/W2018976694","https://openalex.org/W2028434498","https://openalex.org/W2029604966","https://openalex.org/W2034016487","https://openalex.org/W2039219870","https://openalex.org/W2062457615","https://openalex.org/W2068527948","https://openalex.org/W2087698546","https://openalex.org/W2092148530","https://openalex.org/W2158574346","https://openalex.org/W2342687991","https://openalex.org/W2552931624","https://openalex.org/W2617517189","https://openalex.org/W2754110928","https://openalex.org/W2904567800","https://openalex.org/W2922393585","https://openalex.org/W4235476827","https://openalex.org/W6636990805"],"related_works":["https://openalex.org/W2045454750","https://openalex.org/W2099869495","https://openalex.org/W4245458458","https://openalex.org/W937443327","https://openalex.org/W2322030614","https://openalex.org/W2053461829","https://openalex.org/W4237949215","https://openalex.org/W1907618717","https://openalex.org/W1968073604","https://openalex.org/W2043671984"],"abstract_inverted_index":{"Hyphae":[0],"are":[1,113,161],"fungal":[2],"filaments":[3],"that":[4,75,119,140,185,191],"can":[5,79,147],"occur":[6],"in":[7],"both":[8],"pathogenic":[9],"and":[10,102],"symbiotic":[11],"fungi.":[12],"Consequently,":[13,61],"it":[14],"is":[15,41,57,69],"important":[16,70],"to":[17,43,71,150,153,170,193,206],"understand":[18],"what":[19],"drives":[20],"the":[21,54,91,110,125,137,142,155,159,164,167,194,207],"growth":[22,40,56],"of":[23,39,109,136,163,166,176,203],"hyphae.":[24],"A":[25],"single":[26],"hypha":[27],"cell":[28,32],"grows":[29],"by":[30,99,115],"localized":[31],"extension":[33],"at":[34],"their":[35],"tips.":[36],"This":[37],"type":[38],"referred":[42],"as":[44],"tip":[45,55,143,195,208],"growth.":[46,144,209],"The":[47,106],"interconnection":[48],"between":[49],"different":[50],"biological":[51],"components":[52],"driving":[53],"not":[58],"fully":[59],"understood.":[60],"many":[62],"theoretical":[63,77,177],"models":[64,78],"have":[65],"been":[66],"formulated.":[67],"It":[68],"develop":[72],"methods,":[73],"such":[74],"these":[76],"be":[80,148],"validated":[81],"using":[82],"experimentally":[83],"obtained":[84],"data.":[85],"In":[86],"this":[87,172],"paper,":[88],"we":[89],"consider":[90],"Ballistic":[92],"Ageing":[93],"Thin":[94],"viscous":[95],"Sheet":[96],"(BATS)":[97],"model":[98,112],"Prokert,":[100],"Hulshof,":[101],"de":[103],"Jong":[104],"(2019).":[105],"governing":[107,138],"equations":[108,118,139],"BATS":[111,156],"given":[114],"ordinary":[116],"differential":[117],"depend":[120],"on":[121],"a":[122,130,174,189,200],"function":[123],"called":[124],"viscosity":[126],"function.":[127],"We":[128],"present":[129],"numerical":[131,182],"method":[132],"for":[133],"computing":[134],"solutions":[135,146,204],"resemble":[141],"These":[145],"compared":[149],"experimental":[151],"data":[152,169],"validate":[154,171],"model.":[157],"Since":[158],"authors":[160],"unaware":[162],"existence":[165],"required":[168],"model,":[173],"variety":[175],"scenarios":[178],"were":[179],"considered.":[180],"Our":[181],"results":[183],"suggest":[184],"if":[186],"there":[187,198],"exists":[188,199],"solution":[190],"corresponds":[192],"growth,":[196],"then":[197],"one-parameter":[201],"family":[202],"corresponding":[205]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}