{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T05:42:20Z","timestamp":1726119740479},"publisher-location":"Cham","reference-count":47,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030723781"},{"type":"electronic","value":"9783030723798"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72379-8_15","type":"book-chapter","created":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T15:02:45Z","timestamp":1617030165000},"page":"304-328","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["PDC-MI Method for EEG Functional Conectivity Analysis"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-0713-9067","authenticated-orcid":false,"given":"Victor H. B.","family":"Tsukahara","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1468-9051","authenticated-orcid":false,"given":"Pedro V. B.","family":"Jeronymo","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-5170-1072","authenticated-orcid":false,"given":"Jasiara C.","family":"de Oliveira","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2338-5949","authenticated-orcid":false,"given":"Vin\u00edcius R.","family":"Cota","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0137-6678","authenticated-orcid":false,"given":"Carlos D.","family":"Maciel","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,30]]},"reference":[{"issue":"1","key":"15_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/TNSRE.2018.2886211","volume":"27","author":"JA Adkinson","year":"2019","unstructured":"Adkinson, J.A., et al.: Connectivity and centrality characteristics of the epileptogenic focus using directed network analysis. IEEE Trans. Neural Syst. Rehabil. Eng. 27(1), 22\u201330 (2019). https:\/\/doi.org\/10.1109\/TNSRE.2018.2886211","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Akbarian, B., Erfanian, A.: Automatic detection of PTZ-induced seizures based on functional brain connectivity network in rats. In: 2017 8th International IEEE\/EMBS Conference on Neural Engineering (NER), pp. 576\u2013579. IEEE (2017)","DOI":"10.1109\/NER.2017.8008417"},{"key":"15_CR3","doi-asserted-by":"publisher","unstructured":"Anastasiadou, M.N., Christodoulakis, M., Papathanasiou, E.S., Papacostas, S.S., Hadjipapas, A., Mitsis, G.D.: Graph theoretical characteristics of EEG-based functional brain networks in patients with epilepsy: the effect of reference choice and volume conduction. Front. Neurosci. 13, 221 (2019). https:\/\/doi.org\/10.3389\/fnins.2019.00221.https:\/\/www.frontiersin.org\/article\/10.3389\/fnins.2019.00221","DOI":"10.3389\/fnins.2019.00221"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1038\/nrn.2017.149","volume":"19","author":"A Avena-Koenigsberger","year":"2017","unstructured":"Avena-Koenigsberger, A., Msic, B., Sporns, O.: Communication dynamics in complex brain networks. Nat. Rev. Neurosci. 19, 17\u201333 (2017). https:\/\/doi.org\/10.1038\/nrn.2017.149","journal-title":"Nat. Rev. Neurosci."},{"issue":"6","key":"15_CR5","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/PL00007990","volume":"84","author":"LA Baccal\u00e1","year":"2001","unstructured":"Baccal\u00e1, L.A., Sameshima, K.: Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 84(6), 463\u2013474 (2001). https:\/\/doi.org\/10.1007\/PL00007990","journal-title":"Biol. Cybern."},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"Bartolomei, F., et al.: Defining epileptogenic networks: contribution of SEEG and signal analysis. Epilepsia 58(7), 1131\u20131147 (2017). https:\/\/doi.org\/10.1111\/epi.13791. https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/epi.13791","DOI":"10.1111\/epi.13791"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Beghi, E.: Social functions and socioeconomic vulnerability in epilepsy. Epilepsy Behav. 100, 106363\u2013106366 (2019)","DOI":"10.1016\/j.yebeh.2019.05.051"},{"issue":"4","key":"15_CR8","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/S1474-4422(18)30454-X","volume":"18","author":"E Beghi","year":"2019","unstructured":"Beghi, E., et al.: Global, regional, and national burden of epilepsy, 1990\u20132016: a systematic analysis for the global burden of disease study 2016. Lancet Neurol. 18(4), 357\u2013375 (2019)","journal-title":"Lancet Neurol."},{"issue":"1","key":"15_CR9","doi-asserted-by":"publisher","first-page":"5669","DOI":"10.1038\/s41598-018-23659-x","volume":"8","author":"F Berglind","year":"2018","unstructured":"Berglind, F., Andersson, M., Kokaia, M.: Dynamic interaction of local and transhemispheric networks is necessary for progressive intensification of hippocampal seizures. Sci. Rep. 8(1), 5669 (2018)","journal-title":"Sci. Rep."},{"issue":"3","key":"15_CR10","doi-asserted-by":"publisher","first-page":"R80","DOI":"10.1016\/j.cub.2018.11.052","volume":"29","author":"A Biasiucci","year":"2019","unstructured":"Biasiucci, A., Franceschiello, B., Murray, M.M.: Electroencephalography. Curr. Biol. 29(3), R80\u2013R85 (2019)","journal-title":"Curr. Biol."},{"issue":"11","key":"15_CR11","doi-asserted-by":"publisher","first-page":"1910","DOI":"10.1002\/sim.7621","volume":"37","author":"S Cekic","year":"2018","unstructured":"Cekic, S., Grandjean, D., Renaud, O.: Time, frequency, and time-varying Granger-causality measures in neuroscience. Stat. Med. 37(11), 1910\u20131931 (2018)","journal-title":"Stat. Med."},{"issue":"3","key":"15_CR12","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1002\/hbm.24418","volume":"40","author":"A Coito","year":"2019","unstructured":"Coito, A., Michel, C.M., Vulliemoz, S., Plomp, G.: Directed functional connections underlying spontaneous brain activity. Hum. Brain Mapp. 40(3), 879\u2013888 (2019)","journal-title":"Hum. Brain Mapp."},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1002\/jnr.23741","volume":"94","author":"V Cota","year":"2016","unstructured":"Cota, V., Drabowski, B.M.B., de Oliveira, J.C., Moraes, M.: The epileptic amygdala: toward the development of a neural prosthesis by temporally coded electrical stimulation. J. Neurosci. Res. 94, 463\u2013485 (2016). https:\/\/doi.org\/10.1002\/jnr.23741","journal-title":"J. Neurosci. Res."},{"key":"15_CR14","volume-title":"Elements of Information Theory","author":"TM Cover","year":"2012","unstructured":"Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, Hoboken (2012)"},{"key":"15_CR15","doi-asserted-by":"publisher","unstructured":"Devinsky, O., Vezzani, A., OBrien, T.J., Scheffer, I.E., Curtis, M., Perucca, P.: Epilepsy. Nat. Rev. Dis. Primers 4 (2018). https:\/\/doi.org\/10.1038\/nrdp.2018.24. https:\/\/www.nature.com\/articles\/nrdp201824#supplementary-information","DOI":"10.1038\/nrdp.2018.24"},{"issue":"9","key":"15_CR16","doi-asserted-by":"publisher","first-page":"190","DOI":"10.3390\/a12090190","volume":"12","author":"JR Dourado","year":"2019","unstructured":"Dourado, J.R., J\u00fanior, O., Maciel, C.D., et al.: Parallelism strategies for big data delayed transfer entropy evaluation. Algorithms 12(9), 190 (2019)","journal-title":"Algorithms"},{"issue":"2","key":"15_CR17","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s10827-015-0548-6","volume":"38","author":"W Endo","year":"2015","unstructured":"Endo, W., Santos, F.P., Simpson, D., Maciel, C.D., Newland, P.L.: Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network. J. Comput. Neurosci. 38(2), 427\u2013438 (2015). https:\/\/doi.org\/10.1007\/s10827-015-0548-6","journal-title":"J. Comput. Neurosci."},{"issue":"8","key":"15_CR18","doi-asserted-by":"publisher","first-page":"1897","DOI":"10.1109\/TBME.2010.2042715","volume":"57","author":"L Faes","year":"2010","unstructured":"Faes, L., Porta, A., Nollo, G.: Testing frequency-domain causality in multivariate time series. IEEE Trans. Biomed. Eng. 57(8), 1897\u20131906 (2010). https:\/\/doi.org\/10.1109\/TBME.2010.2042715","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"3","key":"15_CR19","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1109\/TCDS.2017.2777180","volume":"10","author":"JA Gaxiola-Tirado","year":"2018","unstructured":"Gaxiola-Tirado, J.A., Salazar-Varas, R., Guti\u00e9rrez, D.: Using the partial directed coherence to assess functional connectivity in electroencephalography data for brain-computer interfaces. IEEE Trans. Cogn. Dev. Syst. 10(3), 776\u2013783 (2018). https:\/\/doi.org\/10.1109\/TCDS.2017.2777180","journal-title":"IEEE Trans. Cogn. Dev. Syst."},{"issue":"6","key":"15_CR20","doi-asserted-by":"publisher","first-page":"2730","DOI":"10.1152\/jn.00012.2018","volume":"120","author":"ED Gribkova","year":"2018","unstructured":"Gribkova, E.D., Ibrahim, B.A., Llano, D.A.: A novel mutual information estimator to measure spike train correlations in a model thalamocortical network. J. Neurophysiol. 120(6), 2730\u20132744 (2018)","journal-title":"J. Neurophysiol."},{"issue":"3","key":"15_CR21","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.physrep.2012.03.001","volume":"519","author":"P Holme","year":"2012","unstructured":"Holme, P., Saram\u00e4ki, J.: Temporal networks. Phys. Rep. 519(3), 97\u2013125 (2012)","journal-title":"Phys. Rep."},{"key":"15_CR22","doi-asserted-by":"publisher","unstructured":"Huang, D., et al.: Combining partial directed coherence and graph theory to analyse effective brain networks of different mental tasks. Front. Hum. Neurosci. 10, 235 (2016). https:\/\/doi.org\/10.3389\/fnhum.2016.00235. https:\/\/www.frontiersin.org\/article\/10.3389\/fnhum.2016.00235","DOI":"10.3389\/fnhum.2016.00235"},{"issue":"1","key":"15_CR23","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s10772-018-09565-7","volume":"22","author":"F Ibrahim","year":"2019","unstructured":"Ibrahim, F., et al.: A statistical framework for EEG channel selection and seizure prediction on mobile. Int. J. Speech Technol. 22(1), 191\u2013203 (2019). https:\/\/doi.org\/10.1007\/s10772-018-09565-7","journal-title":"Int. J. Speech Technol."},{"issue":"1","key":"15_CR24","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1186\/s12911-019-0737-8","volume":"19","author":"T Mei","year":"2019","unstructured":"Mei, T., et al.: Epileptic foci localization based on mapping the synchronization of dynamic brain network. BMC Med. Inform. Decis. Making 19(1), 19 (2019)","journal-title":"BMC Med. Inform. Decis. Making"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Molavipour, S., Bassi, G., Skoglund, M.: Conditional mutual information neural estimator. In: ICASSP 2020\u20132020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5025\u20135029. IEEE (2020)","DOI":"10.1109\/ICASSP40776.2020.9053422"},{"key":"15_CR26","unstructured":"Niriayo, Y.L., Mamo, A., Gidey, K., Demoz, G.T.: Medication belief and adherence among patients with epilepsy. Behav. Neurol. 2019, 2806341\u20132806347 (2019)"},{"key":"15_CR27","doi-asserted-by":"publisher","unstructured":"Olamat, A.E., Akan, A.: Synchronization analysis of epilepsy data using global field synchronization. In: 2017 25th Signal Processing and Communications Applications Conference (SIU), pp. 1\u20134 (2017). https:\/\/doi.org\/10.1109\/SIU.2017.7960194","DOI":"10.1109\/SIU.2017.7960194"},{"key":"15_CR28","unstructured":"World Health Organization, et al.: Atlas: country resources for neurological disorders 2004. World Health Organization, Geneva (2017)"},{"key":"15_CR29","volume-title":"The Rat Brain in Stereotaxic Coordinates","author":"G Paxinos","year":"2013","unstructured":"Paxinos, G., Watson, C.: The Rat Brain in Stereotaxic Coordinates, 7th edn. Elsevier, Amsterdam (2013)","edition":"7"},{"key":"15_CR30","doi-asserted-by":"publisher","unstructured":"Pereda, E., Quiroga, R.Q., Bhattacharya, J.: Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77(1), 1\u201337 (2005). https:\/\/doi.org\/10.1016\/j.pneurobio.2005.10.003. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S030100820500119X","DOI":"10.1016\/j.pneurobio.2005.10.003"},{"key":"15_CR31","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.jneumeth.2018.09.021","volume":"309","author":"B Pester","year":"2018","unstructured":"Pester, B., Lehmann, T., Leistritz, L., Witte, H., Ligges, C.: Influence of imputation strategies on the identification of brain functional connectivity networks. J. Neurosci. Methods 309, 199\u2013207 (2018)","journal-title":"J. Neurosci. Methods"},{"key":"15_CR32","volume-title":"Digital Communications","author":"JG Proakis","year":"2001","unstructured":"Proakis, J.G., Salehi, M.: Digital Communications, vol. 4. McGraw-Hill, New York (2001)"},{"issue":"1","key":"15_CR33","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/S0165-0270(99)00128-4","volume":"94","author":"K Sameshima","year":"1999","unstructured":"Sameshima, K., Baccal\u00e1, L.A.: Using partial directed coherence to describe neuronal ensemble interactions. J. Neurosci. Methods 94(1), 93\u2013103 (1999)","journal-title":"J. Neurosci. Methods"},{"issue":"2","key":"15_CR34","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/s10827-017-0656-6","volume":"43","author":"FP Santos","year":"2017","unstructured":"Santos, F.P., Maciel, C.D., Newland, P.L.: Pre-processing and transfer entropy measures in motor neurons controlling limb movements. J. Comput. Neurosci. 43(2), 159\u2013171 (2017). https:\/\/doi.org\/10.1007\/s10827-017-0656-6","journal-title":"J. Comput. Neurosci."},{"key":"15_CR35","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/978-3-030-36636-0_12","volume-title":"Computational Neuroscience","author":"TMO Santos","year":"2019","unstructured":"Santos, T.M.O., Tsukahara, V.H.B., de Oliveira, J.C., Cota, V.R., Maciel, C.D.: Graph model evolution during epileptic seizures: linear model approach. In: Cota, V.R., Barone, D.A.C., Dias, D.R.C., Dam\u00e1zio, L.C.M. (eds.) LAWCN 2019. CCIS, vol. 1068, pp. 157\u2013170. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-36636-0_12"},{"key":"15_CR36","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1103\/PhysRevLett.77.635","volume":"77","author":"T Schreiber","year":"1996","unstructured":"Schreiber, T., Schmitz, A.: Improved surrogate data for nonlinearity tests. Phys. Rev. Lett. 77, 635\u2013638 (1996). https:\/\/doi.org\/10.1103\/PhysRevLett.77.635","journal-title":"Phys. Rev. Lett."},{"issue":"3\u20134","key":"15_CR37","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/S0167-2789(00)00043-9","volume":"142","author":"T Schreiber","year":"2000","unstructured":"Schreiber, T., Schmitz, A.: Surrogate time series. Phys. D 142(3\u20134), 346\u2013382 (2000)","journal-title":"Phys. D"},{"key":"15_CR38","doi-asserted-by":"publisher","unstructured":"Spiciarich, M.C., von Gaudecker, J.R., Jurasek, L., Clarke, D.F., Burneo, J., Vidaurre, J.: Global health and epilepsy: Update and future directions. Curr. Neurol. Neurosci. Rep. 19(6) (2019). Article number: 30. https:\/\/doi.org\/10.1007\/s11910-019-0947-6","DOI":"10.1007\/s11910-019-0947-6"},{"key":"15_CR39","doi-asserted-by":"publisher","unstructured":"Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., Farmer, J.D.: Testing for nonlinearity in time series: the method of surrogate data. Phys. D Nonlinear Phenom. 58(1), 77\u201394 (1992). https:\/\/doi.org\/10.1016\/0167-2789(92)90102-S. http:\/\/www.sciencedirect.com\/science\/article\/pii\/016727899290102S","DOI":"10.1016\/0167-2789(92)90102-S"},{"key":"15_CR40","volume-title":"Discrete Random Signals and Statistical Signal Processing","author":"CW Therrien","year":"1992","unstructured":"Therrien, C.W.: Discrete Random Signals and Statistical Signal Processing. Prentice Hall PTR, Upper Saddle River (1992)"},{"key":"15_CR41","doi-asserted-by":"crossref","unstructured":"Tsukahara, V.H.B., Jeronymo, P.V.B., de Oliveira, J.C., Cota, V.R., Maciel, C.D.: Delayed mutual information to develop functional analysis on epileptic signals. In: BIOSIGNALS, pp. 89\u201397 (2020)","DOI":"10.5220\/0008974900890097"},{"key":"15_CR42","doi-asserted-by":"publisher","unstructured":"Varotto, G., et al.: Network characteristics in benign epilepsy with centro-temporal spikes patients indicating defective connectivity during spindle sleep: a partial directed coherence study of EEG signals. Clin. Neurophys. 129(11), 2372\u20132379 (2018). https:\/\/doi.org\/10.1016\/j.clinph.2018.09.008. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S138824571831229X","DOI":"10.1016\/j.clinph.2018.09.008"},{"issue":"12","key":"15_CR43","doi-asserted-by":"publisher","first-page":"e0208423","DOI":"10.1371\/journal.pone.0208423","volume":"13","author":"X Wan","year":"2018","unstructured":"Wan, X., Xu, L.: A study for multiscale information transfer measures based on conditional mutual information. PLoS ONE 13(12), e0208423 (2018)","journal-title":"PLoS ONE"},{"issue":"3","key":"15_CR44","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1109\/JBHI.2015.2424074","volume":"20","author":"G Wang","year":"2016","unstructured":"Wang, G., Sun, Z., Tao, R., Li, K., Bao, G., Yan, X.: Epileptic seizure detection based on partial directed coherence analysis. IEEE J. Biomed. Health Inform. 20(3), 873\u2013879 (2016)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"15_CR45","doi-asserted-by":"publisher","unstructured":"Weiss, S.A., et al.: Interneurons and principal cell firing in human limbic areas at focal seizure onset. Neurobiol. Dis. 124, 183\u2013188 (2019). https:\/\/doi.org\/10.1016\/j.nbd.2018.11.014. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S096999611830682X","DOI":"10.1016\/j.nbd.2018.11.014"},{"issue":"10","key":"15_CR46","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1080\/02664760701593065","volume":"34","author":"D Yasumasa Takahashi","year":"2007","unstructured":"Yasumasa Takahashi, D., Antonio Baccal, L., Sameshima, K.: Connectivity inference between neural structures via partial directed coherence. J. Appl. Stat. 34(10), 1259\u20131273 (2007)","journal-title":"J. Appl. Stat."},{"key":"15_CR47","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s11571-019-09551-y","volume":"14","author":"H Yu","year":"2020","unstructured":"Yu, H., et al.: Variation of functional brain connectivity in epileptic seizures: an EEG analysis with cross-frequency phase synchronization. Cogn. Neurodyn. 14, 35\u201349 (2020). https:\/\/doi.org\/10.1007\/s11571-019-09551-y","journal-title":"Cogn. Neurodyn."}],"container-title":["Communications in Computer and Information Science","Biomedical Engineering Systems and Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72379-8_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T15:26:41Z","timestamp":1617031601000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-72379-8_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030723781","9783030723798"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72379-8_15","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIOSTEC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Biomedical Engineering Systems and Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valetta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malta","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 February 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 February 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"biostec2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.biostec.org\/?y=2020","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":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"363","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":"29","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":"0","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":"8% - 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":"4","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":"4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}