{"id":"https://openalex.org/W4416296483","doi":"https://doi.org/10.3390/sym17111989","title":"Settlement Prediction of Preloading Method Based on SSA-BP Neural Network with Consideration of Asymmetric Settlement Behavior","display_name":"Settlement Prediction of Preloading Method Based on SSA-BP Neural Network with Consideration of Asymmetric Settlement Behavior","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416296483","doi":"https://doi.org/10.3390/sym17111989"},"language":"en","primary_location":{"id":"doi:10.3390/sym17111989","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111989","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1989/pdf?version=1763384040","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/11/1989/pdf?version=1763384040","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056162317","display_name":"Xinye Wu","orcid":"https://orcid.org/0000-0001-5054-5429"},"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":true,"raw_author_name":"Xinye Wu","raw_affiliation_strings":["Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China"],"raw_orcid":"https://orcid.org/0000-0001-5054-5429","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449976","display_name":"Zhiwei Wang","orcid":"https://orcid.org/0000-0003-2092-7981"},"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":"Zhiwei Wang","raw_affiliation_strings":["Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haixu Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]},{"id":"https://openalex.org/I4387154871","display_name":"China Railway 18th Bureau Group Corporation","ror":"https://ror.org/00mv2dn46","country_code":null,"type":"company","lineage":["https://openalex.org/I4387154871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixu Duan","raw_affiliation_strings":["China Railway 16th Bureau Group Co., Ltd., Chaoyang District, Beijing 100018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Railway 16th Bureau Group Co., Ltd., Chaoyang District, Beijing 100018, China","institution_ids":["https://openalex.org/I4210135994","https://openalex.org/I4387154871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108995692","display_name":"Yuxiang Gan","orcid":null},"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":"Yuxiang Gan","raw_affiliation_strings":["Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101556144","display_name":"Shenghui Chen","orcid":"https://orcid.org/0000-0001-5495-1723"},"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":"Shenghui Chen","raw_affiliation_strings":["Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404482","display_name":"Man Li","orcid":"https://orcid.org/0000-0002-2102-0268"},"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"]},{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]},{"id":"https://openalex.org/I4387154871","display_name":"China Railway 18th Bureau Group Corporation","ror":"https://ror.org/00mv2dn46","country_code":null,"type":"company","lineage":["https://openalex.org/I4387154871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Li","raw_affiliation_strings":["China Railway 16th Bureau Group Co., Ltd., Chaoyang District, Beijing 100018, China","Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Railway 16th Bureau Group Co., Ltd., Chaoyang District, Beijing 100018, China","institution_ids":["https://openalex.org/I4210135994","https://openalex.org/I4387154871"]},{"raw_affiliation_string":"Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022043115","display_name":"Zhao Xu","orcid":"https://orcid.org/0000-0003-2060-1068"},"institutions":[{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]},{"id":"https://openalex.org/I4387154871","display_name":"China Railway 18th Bureau Group Corporation","ror":"https://ror.org/00mv2dn46","country_code":null,"type":"company","lineage":["https://openalex.org/I4387154871"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["China Railway 16th Bureau Group Co., Ltd., Chaoyang District, Beijing 100018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Railway 16th Bureau Group Co., Ltd., Chaoyang District, Beijing 100018, China","institution_ids":["https://openalex.org/I4210135994","https://openalex.org/I4387154871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039652135","display_name":"Enxiang Xu","orcid":"https://orcid.org/0009-0007-6526-7557"},"institutions":[{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enpu Xu","raw_affiliation_strings":["China Railway 23th Bureau Group Co., Ltd., Chengdu 610072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Railway 23th Bureau Group Co., Ltd., Chengdu 610072, China","institution_ids":["https://openalex.org/I4210135994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5056162317"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32492432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"11","first_page":"1989","last_page":"1989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10233","display_name":"Geotechnical Engineering and Soil Mechanics","score":0.11240000277757645,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10233","display_name":"Geotechnical Engineering and Soil Mechanics","score":0.11240000277757645,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10161","display_name":"Rock Mechanics and Modeling","score":0.07980000227689743,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.07590000331401825,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7139999866485596},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6721000075340271},{"id":"https://openalex.org/keywords/settlement","display_name":"Settlement (finance)","score":0.6284999847412109},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5116000175476074},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5109999775886536},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5009999871253967},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.4551999866962433},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43140000104904175}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7139999866485596},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6721000075340271},{"id":"https://openalex.org/C2777063073","wikidata":"https://www.wikidata.org/wiki/Q1553237","display_name":"Settlement (finance)","level":3,"score":0.6284999847412109},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5073999762535095},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32339999079704285},{"id":"https://openalex.org/C136428324","wikidata":"https://www.wikidata.org/wiki/Q838414","display_name":"Deformation monitoring","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.25529998540878296},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17111989","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111989","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1989/pdf?version=1763384040","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17111989","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111989","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1989/pdf?version=1763384040","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416296483.pdf","grobid_xml":"https://content.openalex.org/works/W4416296483.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1968006952","https://openalex.org/W2253254596","https://openalex.org/W2807731980","https://openalex.org/W2955292386","https://openalex.org/W3183343177","https://openalex.org/W3197604099","https://openalex.org/W4283747724","https://openalex.org/W4295886926","https://openalex.org/W4297688869","https://openalex.org/W4313214425","https://openalex.org/W4313555224","https://openalex.org/W4317530448","https://openalex.org/W4320351990","https://openalex.org/W4320919595","https://openalex.org/W4379157432","https://openalex.org/W4382464779","https://openalex.org/W4390298940","https://openalex.org/W4390340795","https://openalex.org/W4396873218","https://openalex.org/W4402904019","https://openalex.org/W4403415689","https://openalex.org/W4405849752","https://openalex.org/W4406526552","https://openalex.org/W4406895058","https://openalex.org/W4412692315","https://openalex.org/W4413342546"],"related_works":[],"abstract_inverted_index":{"This":[0,61,126,244,254],"study":[1,90],"focuses":[2],"on":[3],"the":[4,17,48,51,78,99,105,119,155,169,184,234],"East":[5],"Channel":[6],"Project":[7],"(Xiang\u2019an":[8],"South":[9,18],"Road\u2014Airport":[10],"Expressway":[11],"Section).":[12],"The":[13,23,68,109,189,208],"project":[14,49],"is":[15,173,193],"in":[16,230,241],"Port":[19],"Harbor":[20],"Bay":[21],"area.":[22],"area":[24],"has":[25,158],"highly":[26],"complex":[27,266],"and":[28,40,76,124,131,149,162,177,186,203,215,250,271],"asymmetrical":[29],"geology.":[30],"Construction":[31],"faces":[32],"multiple":[33],"challenges:":[34],"tight":[35],"schedule,":[36],"overlapping":[37],"pipeline":[38],"operations,":[39],"large-scale":[41],"foundation":[42,273],"treatment":[43],"needs.":[44],"To":[45],"tackle":[46],"these,":[47],"uses":[50,111],"plastic":[52],"drainage":[53],"board":[54],"surcharge":[55,206],"preloading":[56],"method":[57],"for":[58],"ground":[59],"improvement.":[60],"technique":[62],"needs":[63],"continuous":[64],"settlement":[65,83,239],"deformation":[66,217],"monitoring.":[67],"monitoring":[69,165],"aims":[70],"to":[71,117,226],"spot":[72],"potential":[73],"asymmetric":[74,216],"trends":[75],"fix":[77],"best":[79],"unloading":[80],"time.":[81,243],"Traditional":[82],"prediction":[84,94,133,171],"methods":[85,182],"have":[86,260],"limits.":[87],"So,":[88],"this":[89],"develops":[91],"an":[92,195],"intelligent":[93,258],"model":[95,110,157,210,235],"(SSA-BP).":[96],"It":[97,179,198,220],"combines":[98],"Sparrow":[100],"Search":[101],"Algorithm":[102],"(SSA)":[103],"with":[104,137],"BP":[106,120],"neural":[107],"network.":[108],"SSA\u2019s":[112],"strong":[113],"global":[114],"search":[115],"ability":[116],"optimize":[118],"network\u2019s":[121],"initial":[122],"weights":[123],"thresholds.":[125],"effectively":[127],"avoids":[128],"local":[129],"minima":[130],"improves":[132],"stability.":[134],"Comparative":[135],"experiments":[136],"other":[138],"optimization":[139],"algorithms":[140,259],"(Particle":[141],"Swarm":[142],"Optimization":[143],"PSO,":[144],"Grey":[145],"Wolf":[146],"Optimizer":[147],"GWO,":[148],"Differential":[150],"Evolution":[151],"DE)":[152],"show":[153],"that":[154,257],"SSA-BP":[156,209],"better":[159],"convergence":[160],"accuracy":[161],"robustness.":[163],"Field":[164],"data":[166],"validation":[167],"indicates":[168],"model\u2019s":[170],"error":[172],"stably":[174],"between":[175],"\u22123.4%":[176],"3.2%.":[178],"surpasses":[180],"traditional":[181],"like":[183],"three-point":[185],"hyperbolic":[187],"methods.":[188],"study\u2019s":[190],"key":[191],"innovation":[192],"introducing":[194],"asymmetry-aware":[196],"view.":[197],"analyzes":[199],"settlement\u2019s":[200],"morphological":[201],"evolution":[202],"predictability":[204],"under":[205],"preloading.":[207],"can":[211,236,264],"identify":[212],"both":[213],"symmetric":[214],"patterns":[218],"well.":[219],"offers":[221],"a":[222],"new":[223],"computational":[224],"tool":[225],"understand":[227],"asymmetry":[228],"breaking":[229],"geotechnical":[231,267],"systems.":[232],"Moreover,":[233],"accurately":[237],"predict":[238],"behavior":[240],"real":[242],"provides":[245],"dynamic":[246],"construction":[247],"decision-making":[248],"guidance":[249],"effective":[251],"cost":[252],"control.":[253],"research":[255],"shows":[256],"great":[261],"potential.":[262],"They":[263],"reveal":[265],"systems\u2019":[268],"inherent":[269],"laws":[270],"promote":[272],"engineering\u2019s":[274],"intelligentization.":[275]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-17T00:00:00"}