Modeling and simulation of an improvement proposal through the method mechanized transplanting
Rice agriculture in Colombia has high costs and low profitability, compared to rice agriculture in leading countries that are supported in different ways by their governments worldwide. Part of these high costs is due to the deficient technification of the processes, the absence of standardized proc...
- Autores:
-
Orjuela Abril, Martha Sofia
Trujillo, luis eduardo
Pabón León, Jhon Antuny
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/6551
- Acceso en línea:
- https://repositorio.ufps.edu.co/handle/ufps/6551
https://doi.org/10.1088/1742-6596/1938/1/012018
- Palabra clave:
- Agricultural robots
Cultivation
Developing countries
Machinery
Population statistics
Seed
Crop productivity
High population density
Model and simulation
Physical analysis
Production plant
Rice cultivation
Standardized procedure
Water consumption
- Rights
- openAccess
- License
- Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
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Modeling and simulation of an improvement proposal through the method mechanized transplanting |
| title |
Modeling and simulation of an improvement proposal through the method mechanized transplanting |
| spellingShingle |
Modeling and simulation of an improvement proposal through the method mechanized transplanting Agricultural robots Cultivation Developing countries Machinery Population statistics Seed Crop productivity High population density Model and simulation Physical analysis Production plant Rice cultivation Standardized procedure Water consumption |
| title_short |
Modeling and simulation of an improvement proposal through the method mechanized transplanting |
| title_full |
Modeling and simulation of an improvement proposal through the method mechanized transplanting |
| title_fullStr |
Modeling and simulation of an improvement proposal through the method mechanized transplanting |
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Modeling and simulation of an improvement proposal through the method mechanized transplanting |
| title_sort |
Modeling and simulation of an improvement proposal through the method mechanized transplanting |
| dc.creator.fl_str_mv |
Orjuela Abril, Martha Sofia Trujillo, luis eduardo Pabón León, Jhon Antuny |
| dc.contributor.author.none.fl_str_mv |
Orjuela Abril, Martha Sofia Trujillo, luis eduardo Pabón León, Jhon Antuny |
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Journal of Physics: Conference Series |
| dc.subject.proposal.eng.fl_str_mv |
Agricultural robots Cultivation Developing countries Machinery Population statistics Seed Crop productivity High population density Model and simulation Physical analysis Production plant Rice cultivation Standardized procedure Water consumption |
| topic |
Agricultural robots Cultivation Developing countries Machinery Population statistics Seed Crop productivity High population density Model and simulation Physical analysis Production plant Rice cultivation Standardized procedure Water consumption |
| description |
Rice agriculture in Colombia has high costs and low profitability, compared to rice agriculture in leading countries that are supported in different ways by their governments worldwide. Part of these high costs is due to the deficient technification of the processes, the absence of standardized procedures and the farmers' lack of resources. This article develops modeling and simulation of the implementation of the indirect seeding method by mechanized transplanting; these results are obtained through the study and definition of technologies for the cultivation method, the description of the process, machinery, equipment, and inputs, which determined the necessary capacity of the production plant through modeling and simulation in software Flexsim. Rice cultivation is one of the main incomes of countries with high population density and poor economy, alternatives and improvement actions are of great importance for the growth of the sector. As a result, there is evidence of improved crop productivity, better water consumption efficiencies by physical analysis (comparison of traditional and technician water consumption) and the necessary capacity of a production plant from harvesting to final packaging. |
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2021 |
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2021-06-09 |
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2022-11-18T22:51:34Z |
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2022-11-18T22:51:34Z |
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Artículo de revista |
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https://doi.org/10.1088/1742-6596/1938/1/012018 |
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eng |
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eng |
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Journal of Physics: Conference Series. Vol.1938 N°.1. (2021) |
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Vol. 1938 N°.1. (2021) |
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7 |
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1(2021) |
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1 |
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1938 |
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Abril, M. O., Toscano, L. T., & León, J. P. (2021, May). Modeling and simulation of an improvement proposal through the method mechanized transplanting. In Journal of Physics: Conference Series (Vol. 1938, No. 1, p. 012018). IOP Publishing. |
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Journal of Physics: Conference Series |
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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. |
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Journal of Physics: Conference Series |
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Reino Unido |
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Orjuela Abril, Martha Sofia c7eb007995ff675aa1fb2ed07939a53e600Trujillo, luis eduardocbf1bc2d745abdc3c9f3a1a3f75b45dd600Pabón León, Jhon Antuny91ebc19a06b5cc8a9480485d894f49e7600Journal of Physics: Conference Series2022-11-18T22:51:34Z2022-11-18T22:51:34Z2021-06-09https://repositorio.ufps.edu.co/handle/ufps/6551https://doi.org/10.1088/1742-6596/1938/1/012018Rice agriculture in Colombia has high costs and low profitability, compared to rice agriculture in leading countries that are supported in different ways by their governments worldwide. Part of these high costs is due to the deficient technification of the processes, the absence of standardized procedures and the farmers' lack of resources. This article develops modeling and simulation of the implementation of the indirect seeding method by mechanized transplanting; these results are obtained through the study and definition of technologies for the cultivation method, the description of the process, machinery, equipment, and inputs, which determined the necessary capacity of the production plant through modeling and simulation in software Flexsim. Rice cultivation is one of the main incomes of countries with high population density and poor economy, alternatives and improvement actions are of great importance for the growth of the sector. As a result, there is evidence of improved crop productivity, better water consumption efficiencies by physical analysis (comparison of traditional and technician water consumption) and the necessary capacity of a production plant from harvesting to final packaging.07 páginasapplication/pdfengJournal of Physics: Conference SeriesReino UnidoJournal of Physics: Conference Series. Vol.1938 N°.1. (2021)Vol. 1938 N°.1. (2021)71(2021)11938Abril, M. O., Toscano, L. T., & León, J. P. (2021, May). Modeling and simulation of an improvement proposal through the method mechanized transplanting. In Journal of Physics: Conference Series (Vol. 1938, No. 1, p. 012018). IOP Publishing.Journal of Physics: Conference SeriesContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1938/1/012018/pdfModeling and simulation of an improvement proposal through the method mechanized transplantingArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Agricultural robotsCultivationDeveloping countriesMachineryPopulation statisticsSeedCrop productivityHigh population densityModel and simulationPhysical analysisProduction plantRice cultivationStandardized procedureWater consumptionIrianto H, Mujiyo Riptantil E W, Qonita A 2018 The land use potential of flood-prone rice fields using floating rice system in Bojonegoro regency in East Java IOP Conf. Series: Earth and Environmental Science 142 012072:1Hidayat Y R, Suciaty T 2019 The comparison analysis of farming income between system of rice intensification (SRI) technology innovation and conventional agriculture system in rice production center in West Java IOP Conf. Series: Journal of Physics: Conf. Series 1360 012008:1Sumarsono, Didik Wisnu W, Yafizham 2020 Characteristics of organic rice cultivation of farmer groups at Gajah subdistrict, Demak district, Central Java Province, Indonesia IOP Conference Series: Earth and Environmental Science 518 012035:1Sotelo S, Guevara E, Llanos L, Agudelo D, Esquivel A, Rodríguez J Ordoñez L, Mesa J, Muñoz L A Howland F Amariles S Rojas A Valencia J J Segura C C Grajales F Hernández F Cote F Saavedra E, Ruíz F, Serna J, Jiménez D, Tapasco J, Prager S D, Epanchin P, Ramírez J 2020 Pronosticos AClimateColombia: A system for the provision of information for climate risk reduction in Colombia Computers and Electronics in Agriculture 174 105486:1Kruseman G, Mottaleb K A, Tesfaye K, Bairagi S, Robertson R, Mandiaye D, Frija A, Gbegbelegbe S Alene A, Prager S 2020 Rural transformation and the future of cereal-based agri-food systems Global Food Security 26 100441:1Loboguerrero A M, Boshell F, León G, Martínez D, Giraldo D, Mejía L R, Díaz E, Cock J 2018 Bridging the gap between climate science and farmers in Colombia Climate Risk Management 22 67Zhang Yi, Jiang Yu, Tai P K, Feng J, Li Z, Zhu X, Chen J, Zhang J, Song Z, Deng A, Lal R, Zhang W 2019 Contribution of rice variety renewal and agronomic innovations toyield improvement and greenhouse gas mitigation in China Environ. Res. Lett. 14 114020:1Zhi-peng X, Ya-jie H, Hain-jun Q, Wei-weiC, Bao-wei G, Hai-yan W, Ke X, Zhong-yang H, Gui-sheng Z, Qi-gen D, Hong-cheng Z 2017 Comparison of yield traits in rice among three mechanized planting methods in a rice-wheat rotation system Journal of Integrative Agriculture 16 1451Paudel G P, Bahadur D, Bahadur D, Justice S E, McDonald A J 2019 Scale-appropriate mechanization impacts on productivity among smallholders: Evidence from rice systems in the mid-hills of Nepal Land Use Policy 85 104Sandoval N A, Cruz A P, Murillo E A 2020 Evaluation of a hyperbranched polyester polyol as plasticizing agent for composites of recycled polystyrene and rice husk 6th International Week of Science, Technology and Innovation 1587 012011:1Zhang B, Wang X 2020 Modelling and simulation of facility planning problem based on improved SLP method IOP Conf. Series: Materials Science and Engineering 806 012034:1Riskadayanti O, Yuniaristanto Sutopo W, Hisjam M 2019 Crete-event simulation of a production process for increasing the efficiency of a newspaper production IOP Conf. Series: Materials Science and Engineering 495 012026:1Orjuela M S, Ortíz A P, Gallego G J 2014 Propuesta de Mejoramiento para el Aumento de la Productividad en el Cultivo de Arroz en la Cooperativa Agropecuaria del Norte de Santander Coagronorte (Colombia: Universidad Francisco de Paula Santander)Setyo P, Elly J 2018 Problems Analysis on increasing rice production through food estate program in bulungan regency, north kalimantan IOP Conf. Series: Earth and Environmental Science 147 012043:1Corporación Comarca 2010 Guía Técnica Sobre el Sistema de Trasplante Manual de Arroz (Colombia: Usossoldaña)Rizaldi T, Panggabean S, Ayu P C, Jeremy A O 2019 Development of conceptual design and simulation of dapog system rice seed seedling machine for production scale IOP Conf. Series: Earth and Environmental Science 260 012030:1Abdullah M S M, Rahiman M H F, Zakaria A, Kamarudin L M, Mohamed L 2019 A review on moisture measurement technique in agricultural silos IOP Conf. 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0002-9742-8673c7eb007995ff675aa1fb2ed07939a53e600 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