Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kirstin Roster"'
Autor:
Caroline L. Alves, Thaise G. L. de O. Toutain, Patricia de Carvalho Aguiar, Aruane M. Pineda, Kirstin Roster, Christiane Thielemann, Joel Augusto Moura Porto, Francisco A. Rodrigues
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract Autism is a multifaceted neurodevelopmental condition whose accurate diagnosis may be challenging because the associated symptoms and severity vary considerably. The wrong diagnosis can affect families and the educational system, raising the
Externí odkaz:
https://doaj.org/article/a855139d994c436ca2ad05d65420114f
Autor:
Caroline L Alves, Rubens Gisbert Cury, Kirstin Roster, Aruane M Pineda, Francisco A Rodrigues, Christiane Thielemann, Manuel Ciba
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0277257 (2022)
Ayahuasca is a blend of Amazonian plants that has been used for traditional medicine by the inhabitants of this region for hundreds of years. Furthermore, this plant has been demonstrated to be a viable therapy for a variety of neurological and menta
Externí odkaz:
https://doaj.org/article/fdd75bc6805f4024a01b1b73f02f2736
Publikováno v:
Entropy, Vol 20, Iss 10, p 753 (2018)
We leverage a new complexity framework called Economic Fitness, which characterizes an economy’s level of diversification and its capabilities to produce more complex products. It can be used to predict economic growth and competitiveness. This pap
Externí odkaz:
https://doaj.org/article/9134b89f8778435493837c1bed65fc56
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Dengue is a serious public health concern in Brazil and globally. In the absence of a universal vaccine or specific treatments, prevention relies on vector control and disease surveillance. Accurate and early forecasts can help reduce the spread of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21c4620ebbc8fd73e279bdb884349c4a
https://doi.org/10.1093/aje/kwac090
https://doi.org/10.1093/aje/kwac090
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika epidemic in Brazil, have demonstrated both the importance and difficulty of accurately forecasting novel infectious diseases. When new diseases first emerge, we have litt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08d76fbc3685c9d5fdedede9f665e812
Publikováno v:
International Journal of Epidemiology
Background The COVID-19 pandemic led to a reduction in human mobility which occurred randomly (in time) and is not linked to any other Dengue risk factors. This gives rise to a quasi-experimental situation to assess the impact of mobility reduction o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eb146dfc67b67d296fcf9d0857e0742
http://europepmc.org/articles/PMC8499880
http://europepmc.org/articles/PMC8499880
Dengue Fever is an increasingly serious public health concern both in Brazil and globally. In the absence of a universal vaccine or specific treatments, prevention relies on vector control and disease surveillance. Accurate and early forecasts can he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6196bd266ba62822f2c2aaf4e1a868
https://doi.org/10.1101/2021.02.17.430949
https://doi.org/10.1101/2021.02.17.430949
Autor:
Caroline L Alves, Aruane M Pineda, Kirstin Roster, Christiane Thielemann, Francisco A Rodrigues
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Mental disorders are among the leading causes of disability worldwide. The first step in treating these conditions is to obtain an accurate diagnosis, but the absence of established clinical tests makes this task challenging. Machine learning algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cbbfa7d1c7994f8a715caf89420ef0d
https://doi.org/10.1088/2632-072x/ac5f8d
https://doi.org/10.1088/2632-072x/ac5f8d