Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Natário, Isabel"'
Publikováno v:
In American Journal of Medicine Open December 2024 12
Akademický článek
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Autor:
Figueiredo, Ivone ifigueiredo@ipma.pt, Natário, Isabel, Lorance, Pascal, Carvalho, M. Lucília
Publikováno v:
Canadian Journal of Fisheries & Aquatic Sciences. 2022, Vol. 79 Issue 11, p1977-1991. 15p.
Autor:
Rodrigues, Mónica1 (AUTHOR) monica.a.rodrigues@hotmail.com, Natário, Isabel2 (AUTHOR), do Rosário de Oliveira Martins, Maria3 (AUTHOR)
Publikováno v:
Theoretical & Applied Climatology. 2021, Vol. 143 Issue 1/2, p809-821. 13p. 2 Charts, 6 Graphs.
Publikováno v:
Computational Science and Its Applications – ICCSA 2020
The Black Scabbardfish is a deep-water fish species that lives at depths greater than 700 m. In Portugal mainland, this is an important commercial resource which is exploited by longliners that operate at specific fishing grounds located off the coas
Akademický článek
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Autor:
Alves, João, Vilhena, Cristina, Tomás, Cláudia, Antunes, Isabel Lobo, Metello, José, Natário, Isabel, Puga, Marco, Casal, Ester
Sem PDF OBJECTIVE: To compare the rate of vaginal birth in women attempting vaginal birth after caesarean delivery (VBAC) through labour induction with dinoprostone versus a trial of spontaneous labour. METHODS: A 10-year retrospective cohort study i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1437::f1f6f7250ecc8129917328312b5e6426
https://hdl.handle.net/10362/20826
https://hdl.handle.net/10362/20826
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Within the context of accessing the risk of forest fires, Amaral-Turkman et al. [1] have proposed a spatio-temporal hierarchical approach which jointly models the fire ignition probability and the fire’s size, in a Bayesian framework. This is recov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e3fcf5c1e8f2a445f127b69171cfa10b
Timeliness of a public health surveillance system is one of its most important characteristics. The process of predicting the present situation using available incomplete information from surveillance systems has received the term nowcasting and has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2016::15b36a163ae6c6a98b0e7b3e78131783
https://hdl.handle.net/10400.18/1260
https://hdl.handle.net/10400.18/1260