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Abstract In low and middle-income countries such as Brazil, most maternal deaths are related to hypertensive complications. Preeclampsia is the leading cause of maternal mortality and morbidity. Significant proportion is associated with the following factors: lack of identification of high-risk women, lack of adequate prevention, difficulty in maintaining a high-risk prenatal follow-up, delayed diagnosis, insecurity and low use of magnesium sulphate, delayed pregnancy interruption and lack of postpartum follow-up of these high-risk cases. Four major actions are proposed to minimize this alarming clinical picture and reduce the mortality rates due to preeclampsia, called the "4 P Rule" (Adequate Prevention – Vigilant Prenatal Care – Timely Delivery (Parturition) – Safe Postpartum). From this simple "rule" we can open a range of important processes and reminders that may help in the guidance of preeclampsia management. middleincome middle income Brazil complications morbidity factors highrisk high risk women prevention followup, followup follow up, up diagnosis sulphate cases 4 " Rule Adequate Parturition (Parturition Postpartum. Postpartum . Postpartum) rule "rule management

ABSTRACT The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others. publications problem uptodate up date classifications context exception (CTFB http//fauna.jbrj.gov.br/, httpfaunajbrjgovbr http //fauna.jbrj.gov.br/ , jbrj gov br (http://fauna.jbrj.gov.br/) 2015 Brazil 80 specialists 1 2024 133691 133 691 133,69 125138 125 138 125,13 82.3%, 823 82 3 (82.3% 102000 102 000 102,00 7.69%, 769 7 69 (7.69% 11000 11 11,00 . 3,567 3567 567 (3,56 2,292 2292 2 292 (2,29 1,833 1833 833 (1,83 1,447 1447 447 (1,44 1000 1,00 831 (83 628 (62 606 (60 520 (52 50 users science health biology law anthropology education others http//fauna.jbrj.gov.br/ faunajbrjgovbr //fauna.jbrj.gov.br (http://fauna.jbrj.gov.br/ 201 8 202 13369 13 133,6 12513 12 125,1 82.3% (82.3 10200 10 00 102,0 7.69% 76 6 (7.69 1100 11,0 3,56 356 56 (3,5 2,29 229 29 (2,2 1,83 183 83 (1,8 1,44 144 44 (1,4 100 1,0 (8 62 (6 60 52 (5 5 http//fauna.jbrj.gov.br (http://fauna.jbrj.gov.br 20 1336 133, 1251 125, 82.3 (82. 1020 0 102, 7.69 (7.6 110 11, 3,5 35 (3, 2,2 22 (2, 1,8 18 (1, 1,4 14 4 ( 82. (82 7.6 (7. 3, (3 2, (2 (1 7. (7

ABSTRACT Synthetic streamflow scenario generation is particularly important in countries like Brazil, where hydroelectric power generation plays a key role and properly handling the uncertainty of future streamflow is crucial. This paper showcases a collaborative effort within the Brazilian electrical sector to enhance streamflow scenario models, focusing on horizons up to one year. Five institutions proposed diverse methodologies, and their effectiveness was evaluated using a comparative framework. The results reveal the strengths and areas for improvement in each model. GHCen emerged as the top performer, excelling in both short-term and moving average analyses, while the PARX model demonstrated superior performance in specific regions. The PAR(p)-A, which is the official methodology in Brazil, was the second-best model in the moving average analysis. This research offers valuable insights for countries facing similar hydrothermal scheduling and scenario generation challenges.

RESUMO A geração de cenários sintéticos de vazões afluentes é particularmente importante em países como o Brasil, onde a geração de energia hidrelétrica desempenha um papel fundamental e é crucial lidar adequadamente com a incerteza da vazão futura. Este artigo apresenta um esforço colaborativo do setor elétrico brasileiro para aprimorar os modelos de geração de cenários de vazão, com foco em horizontes de até um ano. Cinco instituições propuseram metodologias diversas e a sua eficácia foi avaliada através de uma avaliação comparativa estruturada. Os resultados revelam os pontos fortes e as áreas de possíveis aprimoramentos em cada modelo. O modelo GHCen apresentou o melhor desempenho, destacando-se nas análises de curto prazo e de média móvel, enquanto o modelo PARX demonstrou desempenho superior em regiões específicas do Brasil. O PAR(p)-A, metodologia oficial no Brasil, foi o segundo melhor modelo na análise de médias móveis. Este artigo oferece informações valiosas para países que enfrentam desafios semelhantes de programação hidrotérmica e geração de cenários.

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au	autor
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ta	título abreviado da revista (ex. Cad. Saúde Pública)
journal_title	título completo da revista (ex. Cadernos de Saúde Pública)
la	código do idioma da publicação (ex. pt - Português, es - Espanhol)
type	tipo do documento
pid	identificador da publicação
publication_year	ano de publicação do artigo
sponsor	financiador
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