{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:46:41Z","timestamp":1742950001580,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031224188"},{"type":"electronic","value":"9783031224195"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-22419-5_32","type":"book-chapter","created":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T08:12:54Z","timestamp":1672733574000},"page":"381-392","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Design of\u00a0E. coli Growth Simulator Using Multi-agent System"],"prefix":"10.1007","author":[{"given":"Salvador E.","family":"Ayala-Raggi","sequence":"first","affiliation":[]},{"given":"Lu\u00eds Efra\u00edn","family":"L\u00f3pez-Garc\u00eda","sequence":"additional","affiliation":[]},{"given":"Jes\u00fas Manuel","family":"Roa-Escalante","sequence":"additional","affiliation":[]},{"given":"Lourdes Gabriela","family":"Soid-Raggi","sequence":"additional","affiliation":[]},{"given":"Aldrin","family":"Barreto-Flores","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Francisco","family":"Portillo-Robledo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,4]]},"reference":[{"key":"32_CR1","doi-asserted-by":"publisher","unstructured":"Aziz, S.Z., Jamlos, M.F., Jamlos, M.A.: Escherichia coli detection in different types of water. In: 2014 IEEE Symposium on Wireless Technology and Applications (ISWTA), pp. 125\u2013129 (2014). https:\/\/doi.org\/10.1109\/ISWTA.2014.6981170","DOI":"10.1109\/ISWTA.2014.6981170"},{"key":"32_CR2","doi-asserted-by":"publisher","unstructured":"Berg, H.C.: E. coli in Motion. Springer-Verlag, New York (2004). https:\/\/doi.org\/10.1007\/b97370","DOI":"10.1007\/b97370"},{"issue":"1","key":"32_CR3","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s12273-017-0379-7","volume":"11","author":"Y Chen","year":"2017","unstructured":"Chen, Y., Hong, T., Luo, X.: An agent-based stochastic occupancy simulator. Build. Simul. 11(1), 37\u201349 (2017). https:\/\/doi.org\/10.1007\/s12273-017-0379-7","journal-title":"Build. Simul."},{"key":"32_CR4","doi-asserted-by":"publisher","unstructured":"Dib, L.: Multi-agent systems simulating the physiological role of plasmic membrane. Comput. Biol. Med. 38(6), 676\u2013683 (2008). https:\/\/doi.org\/10.1016\/j.compbiomed.2008.03.005, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010482508000486","DOI":"10.1016\/j.compbiomed.2008.03.005"},{"key":"32_CR5","doi-asserted-by":"publisher","unstructured":"Krasuski, A., Kreski, K.: A-EVAC: the evacuation simulator for stochastic environment, August 2018. https:\/\/doi.org\/10.13140\/RG.2.2.28854.60481","DOI":"10.13140\/RG.2.2.28854.60481"},{"key":"32_CR6","first-page":"235","volume":"44","author":"J Lobry","year":"2003","unstructured":"Lobry, J., Chessel, D.: Internal correspondence analysis of codon and amino-acid usage in thermophilic bacteria. J. Appl. Genet. 44, 235\u201361 (2003)","journal-title":"J. Appl. Genet."},{"key":"32_CR7","doi-asserted-by":"publisher","unstructured":"Lyshevski, S.: Modeling, simulation, control and optimization paradigms for E.coli bacteria. In: 2003 Third IEEE Conference on Nanotechnology, 2003. IEEE-NANO 2003, vol. 2, pp. 690\u2013693 (2003). https:\/\/doi.org\/10.1109\/NANO.2003.1231006","DOI":"10.1109\/NANO.2003.1231006"},{"key":"32_CR8","series-title":"Food Engineering Series","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/978-3-030-42660-6_14","volume-title":"Food Safety Engineering","author":"E Mahdinia","year":"2020","unstructured":"Mahdinia, E., Liu, S., Demirci, A., Puri, V.M.: Microbial growth models. In: Demirci, A., Feng, H., Krishnamurthy, K. (eds.) Food Safety Engineering. FES, pp. 357\u2013398. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-42660-6_14"},{"issue":"1","key":"32_CR9","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1128\/CMR.11.1.142","volume":"11","author":"JP Nataro","year":"1998","unstructured":"Nataro, J.P., Kaper, J.B.: Diarrheagenic Escherichia coli. Clin. Microbiol. Rev. 11(1), 142\u2013201 (1998)","journal-title":"Clin. Microbiol. Rev."},{"issue":"3","key":"32_CR10","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1007\/s10015-017-0371-4","volume":"22","author":"I Noda","year":"2017","unstructured":"Noda, I., Yamashita, T.: Pedestrian simulator with flexible framework to enhance detailed behavior and environmental change. Artif. Life Robot. 22(3), 308\u2013315 (2017). https:\/\/doi.org\/10.1007\/s10015-017-0371-4","journal-title":"Artif. Life Robot."},{"key":"32_CR11","unstructured":"Quigley, T.: Monitoring the growth of E. coli with light scattering using the synergy TM 4 multi-mode microplate reader with hybrid technology (2008)"},{"key":"32_CR12","series-title":"Food Microbiology and Food Safety","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-319-68177-1_10","volume-title":"Quantitative Methods for Food Safety and Quality in the Vegetable Industry","author":"S Koseki","year":"2018","unstructured":"Koseki, S.: Ensuring fresh produce safety and quality by utilizing predictive growth models and predictive microbiology software tools. In: P\u00e9rez-Rodr\u00edguez, F., Skandamis, P., Valdramidis, V. (eds.) Quantitative Methods for Food Safety and Quality in the Vegetable Industry. FMFS, pp. 213\u2013222. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-68177-1_10"},{"key":"32_CR13","doi-asserted-by":"publisher","unstructured":"Wasik, S., Jackowiak, P., Figlerowicz, M., Blazewicz, J.: Multi-agent model of hepatitis c virus infection. Artif. Intell. Med. 60(2), 123\u2013131 (2014). https:\/\/doi.org\/10.1016\/j.artmed.2013.11.001, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S093336571300153X","DOI":"10.1016\/j.artmed.2013.11.001"},{"issue":"3","key":"32_CR14","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1109\/TBCAS.2010.2089794","volume":"5","author":"L Yao","year":"2011","unstructured":"Yao, L., et al.: CMOS conductometric system for growth monitoring and sensing of bacteria. IEEE Trans. Biomed. Circuits Syst. 5(3), 223\u2013230 (2011). https:\/\/doi.org\/10.1109\/TBCAS.2010.2089794","journal-title":"IEEE Trans. Biomed. Circuits Syst."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2013 IBERAMIA 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-22419-5_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T08:19:25Z","timestamp":1672733965000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-22419-5_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031224188","9783031224195"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-22419-5_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IBERAMIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ibero-American Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cartagena de Indias","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Colombia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iberamia2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iberamia.org\/iberamia\/iberamia2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"67","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}