Mathematical modelling of between hive transmission of Nosemosis by drifting
Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and fora...
Ausführliche Beschreibung
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| Autor*in: |
Eberl, Hermann J. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Proximity-dependent protein detection based on enzyme-assisted fluorescence signal amplification - Tan, Yuyu ELSEVIER, 2014transfer abstract, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:114 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.cnsns.2022.106636 |
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| 520 | |a Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. | ||
| 520 | |a Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. | ||
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10.1016/j.cnsns.2022.106636 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001852.pica (DE-627)ELV058462325 (ELSEVIER)S1007-5704(22)00224-6 DE-627 ger DE-627 rakwb eng 570 VZ 610 VZ 630 640 VZ 49.00 bkl Eberl, Hermann J. verfasserin aut Mathematical modelling of between hive transmission of Nosemosis by drifting 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. 92D30 Elsevier 34C25 Elsevier 92D25 Elsevier 34C60 Elsevier Muhammad, Nasim oth Enthalten in Elsevier Tan, Yuyu ELSEVIER Proximity-dependent protein detection based on enzyme-assisted fluorescence signal amplification 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV012515639 volume:114 year:2022 pages:0 https://doi.org/10.1016/j.cnsns.2022.106636 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 49.00 Hauswirtschaft: Allgemeines VZ AR 114 2022 0 |
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10.1016/j.cnsns.2022.106636 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001852.pica (DE-627)ELV058462325 (ELSEVIER)S1007-5704(22)00224-6 DE-627 ger DE-627 rakwb eng 570 VZ 610 VZ 630 640 VZ 49.00 bkl Eberl, Hermann J. verfasserin aut Mathematical modelling of between hive transmission of Nosemosis by drifting 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. 92D30 Elsevier 34C25 Elsevier 92D25 Elsevier 34C60 Elsevier Muhammad, Nasim oth Enthalten in Elsevier Tan, Yuyu ELSEVIER Proximity-dependent protein detection based on enzyme-assisted fluorescence signal amplification 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV012515639 volume:114 year:2022 pages:0 https://doi.org/10.1016/j.cnsns.2022.106636 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 49.00 Hauswirtschaft: Allgemeines VZ AR 114 2022 0 |
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10.1016/j.cnsns.2022.106636 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001852.pica (DE-627)ELV058462325 (ELSEVIER)S1007-5704(22)00224-6 DE-627 ger DE-627 rakwb eng 570 VZ 610 VZ 630 640 VZ 49.00 bkl Eberl, Hermann J. verfasserin aut Mathematical modelling of between hive transmission of Nosemosis by drifting 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. 92D30 Elsevier 34C25 Elsevier 92D25 Elsevier 34C60 Elsevier Muhammad, Nasim oth Enthalten in Elsevier Tan, Yuyu ELSEVIER Proximity-dependent protein detection based on enzyme-assisted fluorescence signal amplification 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV012515639 volume:114 year:2022 pages:0 https://doi.org/10.1016/j.cnsns.2022.106636 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 49.00 Hauswirtschaft: Allgemeines VZ AR 114 2022 0 |
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10.1016/j.cnsns.2022.106636 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001852.pica (DE-627)ELV058462325 (ELSEVIER)S1007-5704(22)00224-6 DE-627 ger DE-627 rakwb eng 570 VZ 610 VZ 630 640 VZ 49.00 bkl Eberl, Hermann J. verfasserin aut Mathematical modelling of between hive transmission of Nosemosis by drifting 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. 92D30 Elsevier 34C25 Elsevier 92D25 Elsevier 34C60 Elsevier Muhammad, Nasim oth Enthalten in Elsevier Tan, Yuyu ELSEVIER Proximity-dependent protein detection based on enzyme-assisted fluorescence signal amplification 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV012515639 volume:114 year:2022 pages:0 https://doi.org/10.1016/j.cnsns.2022.106636 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 49.00 Hauswirtschaft: Allgemeines VZ AR 114 2022 0 |
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10.1016/j.cnsns.2022.106636 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001852.pica (DE-627)ELV058462325 (ELSEVIER)S1007-5704(22)00224-6 DE-627 ger DE-627 rakwb eng 570 VZ 610 VZ 630 640 VZ 49.00 bkl Eberl, Hermann J. verfasserin aut Mathematical modelling of between hive transmission of Nosemosis by drifting 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. 92D30 Elsevier 34C25 Elsevier 92D25 Elsevier 34C60 Elsevier Muhammad, Nasim oth Enthalten in Elsevier Tan, Yuyu ELSEVIER Proximity-dependent protein detection based on enzyme-assisted fluorescence signal amplification 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV012515639 volume:114 year:2022 pages:0 https://doi.org/10.1016/j.cnsns.2022.106636 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 49.00 Hauswirtschaft: Allgemeines VZ AR 114 2022 0 |
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mathematical modelling of between hive transmission of nosemosis by drifting |
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Mathematical modelling of between hive transmission of Nosemosis by drifting |
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Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. |
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Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. |
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Nosema ceranae is a microsporidian parasite of the Western honeybee (Apis mellifera). Building on a previous model of within-hive transmission we formulate a mathematical model for the spread of this disease between hives in an apiary. The underlying honeybee population model considers hive and forager bees separately; to account for seasonal variations in honeybee and disease biology, the model parameters vary in time with a period of one year. In the hive, two transmission routes are considered, one is indirect (infected hive bees deposit Nosema spores that are ingested by other bees), the other one is direct and follows the usual mass action kinetics of SIR models. Inter colony transmission is assumed to be caused by drifting. The resulting ecoepidemiological metapopulation model is studied numerically. Our simulations suggest that in the case of indirect within-hive transmission the longterm behaviour is not very sensitive to drifting intensity, and that across the apiary the individual hives synchronise and stratify quickly. In the case of direct within-hive transmission very irregular and complex behaviour can be observed, for example some colonies might survive in working order whereas neighbouring hives might fail. This is due to the underlying single hive model. If both within-hive transmission routes are combined the solutions of the metapopulation model, depending on parameters, can show facets of both transmission routes. |
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