External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications ( IPPIC ) Network database: individual participant data meta‐analysis

Autor: Allotey, J, Whittle, R, Snell, KIE, Smuk, M, Townsend, R, Dadelszen, P, Heazell, AEP, Magee, L, Smith, GCS, Sandall, J, Thilaganathan, B, Zamora, J, Riley, RD, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, AI, Salvesen, KÅ, Bhattacharya, S, Uiterwaal, CSPM, Staff, AC, Andersen, LB, Olive, EL, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramírez, JA, Massé, J, Audibert, F, Magnus, PM, Jenum, AK, Baschat, A, Ohkuchi, A, McAuliffe, FM, West, J, Askie, LM, Mone, F, Farrar, D, Zimmerman, PA, Smits, LJM, Riddell, C, Kingdom, JC, Post, J, Illanes, SE, Holzman, C, Kuijk, SMJ, Carbillon, L, Villa, PM, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, CA, Nagata, C, Brown, M, Vollebregt, KC, Takeda, S, Langenveld, J, Widmer, M, Saito, S, Haavaldsen, C, Carroli, G, Olsen, J, Wolf, H, Zavaleta, N, Eisensee, I, Vergani, P, Lumbiganon, P, Makrides, M, Facchinetti, F, Sequeira, E, Gibson, R, Ferrazzani, S, Frusca, T, Norman, JE, Figueiró‐Filho, EA, Lapaire, O, Laivuori, H, Lykke, JA, Conde‐Agudelo, A, Galindo, A, Mbah, A, Betran, AP, Herraiz, I, Trogstad, L, Smith, GGS, Steegers, EAP, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, WS, Browne, JL, Allen, RE, Costa, F Da Silva, Klipstein‐Grobusch, K, Crowther, CA, Jørgensen, JS, Forest, J‐C, Rumbold, AR, Mol, BW, Giguère, Y, Kenny, LC, Ganzevoort, W, Odibo, AO, Myers, J, Yeo, SA, Goffinet, F, McCowan, L, Pajkrt, E, Teede, HJ, Haddad, BG, Dekker, G, Kleinrouweler, EC, LeCarpentier, É, Roberts, CT, Groen, H, Skråstad, RB, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, JG, Monterio, I, Pillalis, A, Souza, R, Hawkins, LA, Gabbay‐Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K

Objective: Stillbirth is a potentially preventable complication of pregnancy. Identifying women at risk can guide decisions on closer surveillance or timing of birth to prevent fetal death.Prognostic models have been developed to predict the risk of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::da4508a1294cd8e2338c8359705f30c0
https://researchonline.lshtm.ac.uk/id/eprint/4662124/1/Allotey_etal_2021-External-validation-of-prognostic-models.pdf

Modeling Potential C, N, H Content in Aboveground Biomass with Spectral Data from Sentinel 2a

Autor: Gerardo Rodríguez-Ortiz, Vicente Arturo Velasco-Velasco, Rincón-Ramírez Ja, Enríquez-del Valle, Reyes-Zurita N, Castañeda-Hidalgo E

Nutrient estimation in forest ecosystems through satellite images allows us to obtain accurate data, starting with data transformation from forest stands and the existing relationship with the spectral information of the image through modeling. The o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d8fc1a70b628d9322e08722025beb7

Paul Valéry: paradojas y desafíos del arte en el sistema económico moderno

Autor: Ramírez Jaramillo, John

Publikováno v: Areté. 29(2):385-406

Este artículo busca demostrar que el pensamiento de Paul Valéry desarrolla un análisis crítico de las condiciones en que el arte establece su relación con el sistema económico moderno. Para validar dicha hipótesis, inicialmente es presentada l

Externí odkaz: http://repositorio.pucp.edu.pe/index/handle/123456789/112858
http://revistas.pucp.edu.pe/index.php/arete/article/view/19468/19572

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