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  1. 8741

    MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence by Bousquet, Jean J., Arnavielhe, Sylvie, Bedbrook, Anna, Bewick, M., Laune, Daniel, Mathieu Dupas, E., Murray, R., Onorato, G. L., Pépin, J. L., Picard, Robert, Portejoie, F., Costa, E., Fonseca, Joao A., Lourenço, O., Morais Almeida, Mario, Todo Bom, Ana Maria, Cruz, A. A., Da Silva, J., Serpa, F. S., Illario, M., Menditto, E., Cecchi, L., Monti, R., Napoli, L., Ventura, M. T., De Feo, G., Larenas Linnemann, Désirée, Fuentes Perez, M., Huerta Villalobos, Yunuen Rocío, Rivero Yeverino, Daniela, Rodríguez Zagal, Eréndira, Amat, F., Annesi Maesano, Isabella, Bosse, Isabelle, Demoly, Pascal, Devillier, Phillipe, Fontaine, Jean-François, Just, Jocelyne, Kuna, T. P., Samolinski, Boleslaw, Valiulis, Arunas, Emuzyte, Regina, Kvedariene, Violeta, Ryan, Dermot, Sheikh, Aziz, Schmid Grendelmeier, Peter, Klimek, Ludger, Pfaar, Oliver, Bergmann, Karl Christian, Mösges, Ralph, Zuberbier, Torsten, Roller Wirnsberger, R. E., Tomazic, P., Fokkens, Wytske J., Chavannes, Niels H., Reitsma, S., Anto, Josep M., Cardona, Victoria, Dedeu, Tony, Mullol, Jaoquim, Haahtela, Tari, Salimäki, J., Toppila Salmi, S., Valovirta, Erkka, Gemicioğlu, Bilun, Yorgancioglu, Arzu, Papadopoulos, Nikolaos G., Prokopakis, E. P., Bosnic Anticevitch, Sinthia, O'Hehir, Robyn E., Ivancevich, Juan Carlos, Neffen, Hugo, Zernotti, E., Kull, Inger, Melén, Erik, Wickman, Magnus, Bachert, Claus, Hellings, Peter W., Palkonen, Susanna, Bindslev Jensen, Carsten, Eller, E., Waserman, S., Sova, M., De Vries, G., Van Eerd, M., Agache, Ioana, Casale, Thomas B., Dykewickz, M., Naclerio, Robert N., Okamoto, Yoshitaka, Wallace, D. V.

    Published 2018
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  16. 8756

    Assessing vertical structure of an endemic forest in succession using terrestrial laser scanning (TLS). Case study: Guadalupe Island by Yépez Rincón, Fabiola Doracely, Luna Mendoza, Luciana, Ramírez Serrato, Nelly Lucero, Hinojosa Corona, Alejandro, Ferriño Fierro, Adrián Leonardo

    Published 2021
    “…The 3D-SCM was able to differentiate the vegetation strata by each forest community at the stand level with a precision of 93% as well as the tree structure parts (stem, branches, and leaves) with a precision of 97%, it also fits the best characteristic shape for the Guadalupe cypress (decagon) and for the pine (droplet). …”
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