Efeitos das denúncias sobre crimes corporativos no valor das empresas / Effects of denouncements on corporate crimes on the value of companies

A presente pesquisa procura contribuir com a discussão sobre crimes corporativos no Brasil. O objetivo do estudo foi verificar se as denúncias de crimes corporativos publicadas no Jornal Valor Econômico influenciaram o valor de mercado das companhias abertas brasileiras no período de 2010 até 2019. O método escolhido foi o estudo de evento com as 100 maiores empresas listadas na B3 que tiveram denúncias publicadas no jornal online. Os resultados apontam que o mercado opera de maneira ineficiente, visto que a maioria dos eventos não influenciaram no retorno anormal e acumulado das ações. A possibilidade da empresa estar, ou não, cometendo alguma ilegalidade, dependendo do caso, não afeta a decisão de investimento dos agentes de mercado. Contudo, nos achados do presente estudo, os investidores penalizaram as organizações promovendo retornos negativos nos casos de denúncias sobre crimes de fraude, ambiental e corrupção.

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

Low prevalence of influenza A strains with resistance markers in Brazil during 2017–2019 seasons

This project was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); Programa Estratégico de Apoio à Pesquisa em Saúde (PAPES), Fundação Oswaldo Cruz, CNPq, and Coordenação Geral de Laboratórios de Saúde Pública (CGLAB) from the Brazilian Ministry of Health.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Laboratório Central de Saúde Pública de Sergipe. Aracaju, SE, Brazil.Laboratório Central de Saúde Pública de Sergipe. Aracaju, SE, Brazil.Laboratório Central do Estado do Paraná. Curitiba, PR, Brazil.Laboratório Central do Estado do Paraná. Curitiba, PR, Brazil.Secretaria de Saúde do Estado do Espírito Santo. Laboratório de Saúde Pública do Estado do Espírito Santo. Vitória, ES, Brazil / Universidade Federal do Espírito Santo. Núcleo de Doenças Infecciosas. Vitória, ES, Brazil.Secretaria de Saúde do Estado do Espírito Santo. Laboratório de Saúde Pública do Estado do Espírito Santo. Vitória, ES, Brazil / Universidade Federal do Espírito Santo. Núcleo de Doenças Infecciosas. Vitória, ES, Brazil.Laboratório Central de Saúde Pública do Rio de Janeiro. Rio de Janeiro, RJ, Brazil.Laboratório Central de Saúde Pública do Rio de Janeiro. Rio de Janeiro, RJ, Brazil.Secretaria de Saúde do estado do Rio Grande do Sul. Laboratório Central de Saúde Pública. Porto Alegre, RS, Brazil.Secretaria de Saúde do estado do Rio Grande do Sul. Laboratório Central de Saúde Pública. Porto Alegre, RS, Brazil.Fundação Ezequiel Dias. Laboratório Central de Saúde Pública de Minas Gerais. Belo Horizonte, MG, Brazil.Fundação Ezequiel Dias. Laboratório Central de Saúde Pública de Minas Gerais. Belo Horizonte, MG, Brazil.Laboratório Central da Saúde Pública do estado da Bahia. Salvador, BA, Brazil.Laboratório Central da Saúde Pública do estado da Bahia. Salvador, BA, Brazil.Laboratório Central de Santa Catarina. Florianópolis, SC, Brazil.Laboratório Central de Santa Catarina. Florianópolis, SC, Brazil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA. Brasil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA. Brasil.Instituto Adolfo Lutz. Laboratório Central de Saúde Pública do Estado de São Paulo. São Paulo, SP, Brazil.Instituto Adolfo Lutz. Laboratório Central de Saúde Pública do Estado de São Paulo. São Paulo, SP, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Imunização e Doenças Transmissíveis. Brasília, DF, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Imunização e Doenças Transmissíveis. Brasília, DF, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.Fiocruz Fundation. Oswaldo Cruz Institute. Laboratory of Respiratory Viruses and Measles. Rio de Janeiro, RJ, Brazil.The influenza A virus (IAV) is of a major public health concern as it causes annual epidemics and has the potential to cause pandemics. At present, the neuraminidase inhibitors (NAIs) are the most widely used anti-influenza drugs, but, more recently, the drug baloxavir marboxil (BXM), a polymerase inhibitor, has also been licensed in some countries. Mutations in the viral genes that encode the antiviral targets can lead to treatment resistance. Worldwide, a low prevalence of antiviral resistant strains has been reported. Despite that, this situation can change rapidly, and resistant strain surveillance is a priority. Thus, the aim of this was to evaluate Brazilian IAVs antiviral resistance from 2017 to 2019 through the identification of viral mutations associated with reduced inhibition of the drugs and by testing the susceptibility of IAV isolates to oseltamivir (OST), the most widely used NAI drug in the country. Initially, we analyzed 282 influenza A(H1N1)pdm09 and 455 A(H3N2) genetic sequences available on GISAID. The amino acid substitution (AAS) NA:S247N was detected in one A(H1N1)pdm09 strain. We also identified NA:I222V (n = 6) and NA:N329K (n = 1) in A(H3N2) strains. In addition, we performed a molecular screening for NA:H275Y in 437 A(H1N1)pdm09 samples, by pyrosequencing, which revealed a single virus harboring this mutation. Furthermore, the determination of OST IC50 values for 222 A(H1N1)pdm09 and 83 A(H3N2) isolates revealed that all isolates presented a normal susceptibility profile to the drug. Interestingly, we detected one A(H3N2) virus presenting with PA:E119D AAS. Moreover, the majority of the IAV sequences had the M2:S31N adamantanes resistant marker. In conclusion, we show a low prevalence of Brazilian IAV strains with NAI resistance markers, in accordance with what is reported worldwide, indicating that NAIs still remain an option for the treatment of influenza infections in Brazil. However, surveillance of influenza resistance should be strengthened in the country for improving the representativeness of investigated viruses and the robustness of the analysis

Atendimento e seguimento clínico especializado de profissionais de enfermagem acidentados com material biológico

O presente trabalho trata-se de estudo de corte transversal, com objetivo de avaliar a conduta dos profissionais de enfermagem vítimas de acidentes com material biológico, do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, no estado de São Paulo, referente ao atendimento e ao seguimento clínico especializado. A população foi composta por 1.215 profissionais de enfermagem, entrevistados entre os anos de 2010 e 2011, dos quais 636 (52,3%) sofreram acidentes com material biológico e 182 (28,6%) não procuraram atendimento no serviço especializado. O motivo mais frequentemente relatado foi atribuir pouco risco ao acidente. Assim, acredita-se que os motivos alegados pelos profissionais para não procurarem o atendimento, para não completarem a terapêutica e nem o seguimento clínico podem contribuir para a proposição de estratégias capazes de aumentar a adesão às medidas profiláticas após exposição ocupacional a material biológico

ATLANTIC BIRD TRAITS: a data set of bird morphological traits from the Atlantic forests of South America

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ