Programas de moda na televisão fechada tamanho único: da moda da passarela para a vida real

Este trabalho tem como objetivo analisar quais os artifícios usados pela equipe do programa Tamanho Único, do canal por assinatura GNT, para mostrar como aplicar nos visuais do cotidiano as tendências mostradas nas semanas de moda ao redor de mundo. O estudo de caso do assunto foi feito a partir de observação direta do programa e de entrevistas com as apresentadoras do mesmo, bem como três participantes do quadro sobre consultoria de moda. Para ter compreensão mais ampla do programa, apresentou-se como funciona a televisão por assinatura e a segmentação da programação nos canais; como as celebridades se tornam influência de estilo e comportamento para os telespectadores; de que modo ocorre a construção de um look; e, finalmente, houve a análise dos episódios do Tamanho Único. A análise foi complementada com as entrevistas, que permitem uma visão mais aprofundada do objeto estudado

Discurso, poder e identidade nas pré-eleições dos EUA de 2016: uma análise dos discursos políticos de Hillary Clinton e Donald Trump no Twitter

Este trabalho tem como objetivo analisar o discurso político, na rede social Twitter, dos principais candidatos à presidência dos Estados Unidos nas eleições de 2016: Hillary Clinton e Donald Trump. Busca-se comparar o discurso da representante do Partido Democrata e do representante do Partido Republicano e quais textos mais repercutem entre os internautas. A análise de discurso foi feita a partir da coleta de dados da conta de cada um deles no Twitter, via ferramentas de monitoramento. Nota-se que a conta de cada candidato, embora exista desde antes das eleições, vem sendo usada atualmente apenas com viés eleitoral. Hillary e Trump falam para públicos distintos, mas ambos criticam um ao outro e usam frases de efeito para se apresentarem como os melhores sucessores do atual presidente norte-americano, Barack Obama. Os dois, inclusive, usam termos em comum – como “América” — para mobilizar os eleitores e leva-los às urnas. No entanto, enquanto Hillary apresenta seus projetos de campanha e posta frases de incentivo aos eleitores, Trump foca em apontar os problemas do país e ressaltar que é quem pode solucioná-los. O discurso de ambos no Twitter evidencia como o discurso político nas redes sociais é mais dinâmico que nas mídias tradicionais, principalmente pelo fato de as interações com os potenciais eleitores – seguidores – se dar em tempo real e possibilitar a mobilização on-line para a vida política

CIBERER : Spanish national network for research on rare diseases: A highly productive collaborative initiative

Altres ajuts: Instituto de Salud Carlos III (ISCIII); Ministerio de Ciencia e Innovación.CIBER (Center for Biomedical Network Research; Centro de Investigación Biomédica En Red) is a public national consortium created in 2006 under the umbrella of the Spanish National Institute of Health Carlos III (ISCIII). This innovative research structure comprises 11 different specific areas dedicated to the main public health priorities in the National Health System. CIBERER, the thematic area of CIBER focused on rare diseases (RDs) currently consists of 75 research groups belonging to universities, research centers, and hospitals of the entire country. CIBERER's mission is to be a center prioritizing and favoring collaboration and cooperation between biomedical and clinical research groups, with special emphasis on the aspects of genetic, molecular, biochemical, and cellular research of RDs. This research is the basis for providing new tools for the diagnosis and therapy of low-prevalence diseases, in line with the International Rare Diseases Research Consortium (IRDiRC) objectives, thus favoring translational research between the scientific environment of the laboratory and the clinical setting of health centers. In this article, we intend to review CIBERER's 15-year journey and summarize the main results obtained in terms of internationalization, scientific production, contributions toward the discovery of new therapies and novel genes associated to diseases, cooperation with patients' associations and many other topics related to RD research

Monitoring of pregnant women with laboratory confirmed Zika virus infection in the metropolitan region of Belém, Pará State, Brazil: preliminary data

Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Universidade do Estado do Pará. Belém, PA, Brasil.Universidade do Estado do Pará. Belém, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.O vírus Zika é um arbovírus emergente e, desde a sua confirmação no nordeste do Brasil, em maio de 2015, dispersou-se rapidamente para quase todos os países da América Latina e do Caribe. A maioria das pessoas infectadas com o vírus Zika são assintomáticas; no entanto, em mulheres grávidas, a infecção pode causar graves complicações para o feto. Na investigação de 60 grávidas com exantema e com média de idade gestacional de 20 semanas, houve confirmação laboratorial para o vírus Zika (biologia molecular e/ou sorologia) e, até o momento, sem coinfecção e nenhum registro de alterações ultrassonográficas ou desfechos com microcefalia ou outra malformação

Risk of adverse outcomes in offspring with RT-PCR confirmed prenatal Zika virus exposure: an individual participant data meta-analysis of 13 cohorts in the Zika Brazilian Cohorts

The Zika Brazilian Cohorts Consortium was supported by the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq) (grant number 404861/2018-0). The individual studies participating in the ZBC-Consortium were funded by: Wellcome Trust and the United Kingdom’s Department for International Development (grant numbers: 205377/Z/16/Z; 201870/Z/16/Z). European Union’s Horizon 2020 research and innovation programme under ZikaPLAN (grant number 734584). Wellcome Trust - Research Enrichment in Epidemic Situation (grant number 107779/Z/15/Z; with ER1505 & ER1601). Medical Research Council on behalf of the Newton Fund and Wellcome Trust (grant number MC_PC_15088). National Institutes of Health/National Institute of Allergy and Infectious Diseases (grant number RO1/ AI140718). Fondation Christophe et Rodolphe Mérieux. National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq) (grant numbers 443875/2018-9; 440573/2016-5; 441098/2016-9; 305090/2016-0; 307282/2017-1; 304476/2018-8; 465549/2014-4; 440763/2016-9; 309722/2017-9; 306708/2014-0; 440577/2016-0). Coordination for the improvement of Higher Education Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Capes) (grant numbers 88881.130813/2016-01; 88887.116627/2016-01; 88887.136366/2017-00). Ministry of Health of Brazil - Emergency Response in Public Health - Zika virus and Microcephaly (Ministério da Saúde de Brasil - Resposta à Emergência em Saúde Pública – Zika vírus e Microcefalia) (grant number 837058/2016). Department of Science and Technology (Departamento de Ciência e Tecnologia - DECIT) (grant numbers 25000.072811/2016-19; 440839/2016-5). Foundation of Research Support of the State of São Paulo (Fundação de Amparo à Pesquisa do Estado de São Paulo – FAPESP) (grant numbers 2016/08578-0; 2017/21688-1; 2013/21719-3; 2016/ 15021-1; 2015/12295-0; 2016/05115-9). Foundation of Research Support of the State of Rio de Janeiro (Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro – FAPERJ) (grant numbers E-26/201.351/2016; E-18/ 2015TXB; E-26/202.862/2018; E 26/010.002477/2016). Foundation of Support for Research and Scientific and Technological Development of Maranhão (Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão – FAPEMA) (grant number 008/2016). Brazilian Ministry of Health (Ministério da Saúde – MS) (grant number 929698560001160-02). Evandro Chagas Institute/Brazilian Ministry of Health (Instituto Evandro Chagas/Ministério da Saúde). Foundation of Research Support of the State of Goiás (Fundação de Amparo à Pesquisa do Estado de Goiás – FAPEG) (number grant 2017/10267000531). Foundation of Research Support of the State of Rio Grande do Sul (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul – FAPERGS) (grant number 17/2551-0000521-0). Foundation to Support Teaching, Research and Assistance at Hospital das Clínicas, Faculty of Medicine of Ribeirão Preto (Fundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto) and São Paulo State Department of Health (Secretaria de Saúde do Estado de São Paulo). Support Foundation of Pernambuco Science and Technology (Fundação de Amparo à Ciência e Tecnologia de Pernambuco – FACEPE) (grant numbers APQ-0172-4.01/16; APQ-0192-4.01/17; APQ0793-4.01/17).Federal University of Pernambuco. Postgraduate Program in Tropical Medicine. Recife, PE, Brazil / University of Pernambuco. Post-Graduation in Health Sciences. Recife, PE, Brazil.University of Pernambuco. Post-Graduation in Health Sciences. Recife, PE, Brazil.London School of Hygiene & Tropical Medicine. Department of Infectious Disease Epidemiology. London, UK.Federal University of Pernambuco. Postgraduate Program in Collective Health. Recife, PE, Brazil.University of Pernambuco. Post-Graduation in Health Sciences. Recife, PE, Brazil.University of Amazonas State. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil / Doctor Heitor Vieira Dourado Tropical Medicine Foundation. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil.Ribeirão Preto Medical School. Department of Pediatrics. Ribeirão Preto, SP, Brazil.Ribeirão Preto Medical School. Department of Gynecology and Obstetrics. Ribeirão Preto, SP, Brazil.Ribeirão Preto Medical School. Department of Gynecology and Obstetrics. Ribeirão Preto, SP, Brazil.Ribeirão Preto Medical School. Department of Pediatrics. Ribeirão Preto, SP, Brazil.University of Amazonas State. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil / Doctor Heitor Vieira Dourado Tropical Medicine Foundation. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil.University of Amazonas State. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil / Doctor Heitor Vieira Dourado Tropical Medicine Foundation. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil.Instituto Fernandes Figueira. Clinical Research Unit. Rio de Janeiro, RJ, Brazil.Oswaldo Cruz Foundation. Instituto Fernandes Figueira. Clinical Research Unit. Rio de Janeiro, RJ, Brazil.Oswaldo Cruz Foundation. Instituto Fernandes Figueira. Obstretics. Rio de Janeiro, RJ, Brazil.University of California. David Geffen School of Medicine. Department of Pediatrics. Los Angeles, CA, Estados Unidos.Oswaldo Cruz Foundation. Research Center Aggeu Magalhães. Recife, PE, Brazil.London School of Hygiene & Tropical Medicine. Department of Infectious Disease Epidemiology. London, UK.Oswaldo Cruz Foundation. Research Center Aggeu Magalhães. Recife, PE, Brazil.Altino Ventura Foundation. Department of Ophthalmology. Recife, PE, Brazil / Pernambuco Eyes Hospital. Recife, PE, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Medicine School of São José do Rio Preto. Department of Infectious Disease. São José do Rio Preto, SP, Brazil.Medicine School of São José do Rio Preto. Department of Infectious Disease. São José do Rio Preto, SP, Brazil.Medicine School of São José do Rio Preto. Department of Gynecology and Obstetrics. São José do Rio Preto, SP, Brazil.Medicine School of Jundiaí. Infectious Pediatric Laboratory. Jundiaí, SP, Brazil.Federal University of São Paulo. Department of Fetal Medicine. São Paulo, SP, Brazil.Father Anchieta University Center. Nursing School. Jundiaí, SP, Brazil.Federal University of São Paulo. Paulista School of Medicine. Departament of Obstetrics. São Paulo, SP, Brazil.Federal University of Goiás. Institute of Tropical Pathology and Public Health. Goiânia, GO, Brazil.Health Secretariat of Goiás State. Maternal and Child Hospital. Goiânia, GO, Brazil.Federal University of São Paulo. Paulista School of Medicine. Departament of Obstetrics. São Paulo, SP, Brazil.Health Secretariat of Goiás State. Maternal and Child Hospital. Goiânia, GO, Brazil.Universidade Federal do Rio Grande do Sul. Hospital das Clinicas de Porto Alegre. Departamento de Genética. Porto Alegre, RS, Brazil.City Hall of Tangará da Serra, Municipal Health Department, Tangará da Serra, MT, Brazil.Federal University of Campina Grande. Medical Academic Unit. Campina Grande, PB, Brazil.Federal University of Campina Grande. Medical Academic Unit. Campina Grande, PB, Brazil.Federal University of Rio de Janeiro. Department of Pediatrics. Rio de Janeiro, RJ, Brazil.D’Or Institute for Research & Education. Department of Pediatrics. Rio de Janeiro, RJ, Brazil.Departmentiversity of Rio de Janeiro Maternity School. Department of Obstectrics. Rio de Janeiro, RJ, Brazil.Departmentiversity of Rio de Janeiro Maternity School. Department of Obstectrics. Rio de Janeiro, RJ, Brazil.Reference Maternity Prof. José Maria de Magalhães Netto. Bahia Health Department, Salvador, BA, Brazil.Oswaldo Cruz Foundation. Gonçalo Moniz Institute. Salvador, BA, Brazil.Oswaldo Cruz Foundation. Gonçalo Moniz Institute. Salvador, BA, Brazil.Federal University of Rio de Janeiro. Department of Infecitous Diseases. Rio de Janeiro, RJ, Brazil.Federal University of Rio de Janeiro. Department of Infecitous Diseases. Rio de Janeiro, RJ, Brazil.Oswaldo Cruz Foundation. Gonçalo Moniz Institute. Salvador, BA, Brazil.Oswaldo Cruz Foundation. Leonidas and Maria Deane Institute. Manaus, AM, Brazil.University of Amazonas State. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil / Doctor Heitor Vieira Dourado Tropical Medicine Foundation. Postgraduate Program in Tropical Medicine. Manaus, AM, Brazil / Oswaldo Cruz Foundation. Leonidas and Maria Deane Institute. Manaus, AM, Brazil.Oswaldo Cruz Foundation. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brazil.Background: Knowledge regarding the risks associated with Zika virus (ZIKV) infections in pregnancy has relied on individual studies with relatively small sample sizes and variable risk estimates of adverse outcomes, or on surveillance or routinely collected data. Using data from the Zika Brazilian Cohorts Consortium, this study aims, to estimate the risk of adverse outcomes among offspring of women with RT-PCR-confirmed ZIKV infection during pregnancy and to explore heterogeneity between studies. Methods: We performed an individual participant data meta-analysis of the offspring of 1548 pregnant women from 13 studies, using one and two-stage meta-analyses to estimate the absolute risks. Findings: Of the 1548 ZIKV-exposed pregnancies, the risk of miscarriage was 0.9%, while the risk of stillbirth was 0.3%. Among the pregnancies with liveborn children, the risk of prematurity was 10,5%, the risk of low birth weight was 7.7, and the risk of small for gestational age (SGA) was 16.2%. For other abnormalities, the absolute risks were: 2.6% for microcephaly at birth or first evaluation, 4.0% for microcephaly at any time during follow-up, 7.9% for neuroimaging abnormalities, 18.7% for functional neurological abnormalities, 4.0% for ophthalmic abnormalities, 6.4% for auditory abnormalities, 0.6% for arthrogryposis, and 1.5% for dysphagia. This risk was similar in all sites studied and in different socioeconomic conditions, indicating that there are not likely to be other factors modifying this association. Interpretation: This study based on prospectively collected data generates the most robust evidence to date on the risks of congenital ZIKV infections over the early life course. Overall, approximately one-third of liveborn children with prenatal ZIKV exposure presented with at least one abnormality compatible with congenital infection, while the risk to present with at least two abnormalities in combination was less than 1.0%

Risk of adverse outcomes in offspring with RT-PCR confirmed prenatal Zika virus exposure: an individual participant data meta-analysis of 13 cohorts in the Zika Brazilian Cohorts ConsortiumResearch in context

Summary: Background: Knowledge regarding the risks associated with Zika virus (ZIKV) infections in pregnancy has relied on individual studies with relatively small sample sizes and variable risk estimates of adverse outcomes, or on surveillance or routinely collected data. Using data from the Zika Brazilian Cohorts Consortium, this study aims, to estimate the risk of adverse outcomes among offspring of women with RT-PCR-confirmed ZIKV infection during pregnancy and to explore heterogeneity between studies. Methods: We performed an individual participant data meta-analysis of the offspring of 1548 pregnant women from 13 studies, using one and two-stage meta-analyses to estimate the absolute risks. Findings: Of the 1548 ZIKV-exposed pregnancies, the risk of miscarriage was 0.9%, while the risk of stillbirth was 0.3%. Among the pregnancies with liveborn children, the risk of prematurity was 10,5%, the risk of low birth weight was 7.7, and the risk of small for gestational age (SGA) was 16.2%. For other abnormalities, the absolute risks were: 2.6% for microcephaly at birth or first evaluation, 4.0% for microcephaly at any time during follow-up, 7.9% for neuroimaging abnormalities, 18.7% for functional neurological abnormalities, 4.0% for ophthalmic abnormalities, 6.4% for auditory abnormalities, 0.6% for arthrogryposis, and 1.5% for dysphagia. This risk was similar in all sites studied and in different socioeconomic conditions, indicating that there are not likely to be other factors modifying this association. Interpretation: This study based on prospectively collected data generates the most robust evidence to date on the risks of congenital ZIKV infections over the early life course. Overall, approximately one-third of liveborn children with prenatal ZIKV exposure presented with at least one abnormality compatible with congenital infection, while the risk to present with at least two abnormalities in combination was less than 1.0%. Funding: National Council for Scientific and Technological Development - Brazil (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq); Wellcome Trust and the United Kingdom's Department for International Development; European Union's Horizon 2020 research and innovation program; Medical Research Council on behalf of the Newton Fund and Wellcome Trust; National Institutes of Health/National Institute of Allergy and Infectious Diseases; Foundation Christophe et Rodolphe Mérieux; Coordination for the improvement of Higher Education Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Capes); Ministry of Health of Brazil; Brazilian Department of Science and Technology; Foundation of Research Support of the State of São Paulo (Fundação de Amparo à Pesquisa do Estado de São Paulo – FAPESP); Foundation of Research Support of the State of Rio de Janeiro (Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro – FAPERJ); Foundation of Support for Research and Scientific and Technological Development of Maranhão; Evandro Chagas Institute/Brazilian Ministry of Health (Instituto Evandro Chagas/Ministério da Saúde); Foundation of Research Support of the State of Goiás (Fundação de Amparo à Pesquisa do Estado de Goiás – FAPEG); Foundation of Research Support of the State of Rio Grande do Sul (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul – FAPERGS); Foundation to Support Teaching, Research and Assistance at Hospital das Clínicas, Faculty of Medicine of Ribeirão Preto (Fundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto); São Paulo State Department of Health (Secretaria de Saúde do Estado de São Paulo); Support Foundation of Pernambuco Science and Technology (Fundação de Amparo à Ciência e Tecnologia de Pernambuco – FACEPE)

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field