Výsledky vyhledávání

Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

Autor: Théry, C, Witwer, KW, Aikawa, E, Alcaraz, MJ, Anderson, JD, Andriantsitohaina, R, Antoniou, A, Arab, T, Archer, F, Atkin-Smith, GK, Ayre, DC, Bach, JM, Bachurski, D, Baharvand, H, Balaj, L, Baldacchino, S, Bauer, NN, Baxter, AA, Bebawy, M, Beckham, C, Bedina Zavec, A, Benmoussa, A, Berardi, AC, Bergese, P, Bielska, E, Blenkiron, C, Bobis-Wozowicz, S, Boilard, E, Boireau, W, Bongiovanni, A, Borràs, FE, Bosch, S, Boulanger, CM, Breakefield, X, Breglio, AM, Brennan, M, Brigstock, DR, Brisson, A, Broekman, MLD, Bromberg, JF, Bryl-Górecka, P, Buch, S, Buck, AH, Burger, D, Busatto, S, Buschmann, D, Bussolati, B, Buzás, EI, Byrd, JB, Camussi, G, Carter, DRF, Caruso, S, Chamley, LW, Chang, YT, Chaudhuri, AD, Chen, C, Chen, S, Cheng, L, Chin, AR, Clayton, A, Clerici, SP, Cocks, A, Cocucci, E, Coffey, RJ, Cordeiro-da-Silva, A, Couch, Y, Coumans, FAW, Coyle, B, Crescitelli, R, Criado, MF, D’Souza-Schorey, C, Das, S, de Candia, P, De Santana, EF, De Wever, O, del Portillo, HA, Demaret, T, Deville, S, Devitt, A, Dhondt, B, Di Vizio, D, Dieterich, LC, Dolo, V, Dominguez Rubio, AP, Dominici, M, Dourado, MR, Driedonks, TAP, Duarte, FV, Duncan, HM, Eichenberger, RM, Ekström, K, EL Andaloussi, S, Elie-Caille, C, Erdbrügger, U, Falcón-Pérez, JM, Fatima, F, Fish, JE, Flores-Bellver, M, Försönits, A, Frelet-Barrand, A

Publikováno v: Journal of Extracellular Vesicles
Journal of extracellular vesicles, vol 7, iss 1

© 2018, © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of The International Society for Extracellular Vesicles. The last decade has seen a sharp increase in the number of scientific publications d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3a12cb5e7ce5601aa3a873c1fa1fca5a
https://hdl.handle.net/10033/621669

Zobrazit plný text záznamu

Dissertation/ Thesis

Causal latent space-based models for scientific learning in Industry 4.0

Autor: Borràs Ferrís, Joan

[ES] La presente tesis doctoral está dedicada a estudiar, desarrollar y aplicar metodologías basadas en datos, fundamentadas en modelos estadísticos multivariantes de variables latentes, para abordar el paradigma del aprendizaje científico en el

Externí odkaz: http://hdl.handle.net/10251/198993

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání