Evidenciação de dolo e má-fé na improbidade administrativa pela recomendação do Ministério Público

O artigo pretende avaliar, por meio do método hipotético-dedutivo, a possibilidade de utilização da recomendação expedida pelo Ministério Público (art. 6º, XX, da Lei Complementar nº 75 de 1993, art. 23, VII, da Lei nº 8.625/93, Resolução nº 164 de 28 de março de 2017 do Conselho Nacional do Ministério Público) como alerta de dolo e má-fé nos atos de improbidade administrativas. Tendo por base o elevado número de absolvições nas ações de responsabilização por atos de improbidade fundamentadas na ausência de dolo e/ou má-fé do sujeito ativo, pretende-se construir, à luz do que já reconhecido pelos Tribunais Superiores acerca dos alertas emitidos pelos Tribunais de Contas (art. 59, §1º, da Lei Complementar nº 101, de 4 de maio de 2000), uma forma de evidenciar o elemento subjetivo dos agentes ímprobos na violação da probidade administrativa por meio da expedição de recomendações na tutela do patrimônio público. Conclui-se que a utilização de instrumentos preventivos no combate aos atos ímprobos, tais como a recomendação administrativa, fortalece uma atuação resolutiva no combate à corrupção e, ao mesmo tempo, robustece o arsenal probatório do demandante no âmbito da ação de responsabilização por ato de improbidade administrativa

Molecular epidemiological investigation of Mayaro virus in febrile patients from Goiania City, 2017-2018.

Mayaro virus (MAYV) has historically been associated with sylvatic transmission; however, urban outbreaks have been reported in Brazil, including cases of co-detection with dengue virus (DENV). Therefore, we performed a molecular survey to investigate MAYV circulation and cocirculation with DENV within Goiania, a major city in Central-West Brazil. Among 375 subjects with arbovirus-like symptoms, 259 were positive for DENV and 26 for MAYV. Of these, 17 were coinfected with DENV-2, suggesting co-transmission of the viruses. The most common complaints at the time of inclusion were myalgia, headache, fever, arthralgia, retro-orbital pain, and skin rash. No specific symptoms were associated with MAYV when either detected alone or co-detected with DENV, compared to that when DENV was detected alone. Most MAYV-infected subjects were women with no recent travel history to rural/sylvatic areas. Phylogenetic reconstruction indicated that the MAYV identified in this study is closely related with a lineage observed in Peru, belonging to genotype D. Our results corroborate the growing circulation of MAYV in urban environments in Brazil and reinforce the need to implement laboratory diagnosis in the Unified Health System, considering that the clinical manifestations of Mayaro fever are similar to those of other arboviruses, particularly dengue. Furthermore, most cases occurred in association with DENV-2. Further phylogenetic studies are needed to evaluate MAYV, which has not been widely examined

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Recent advances in lanthanide spectroscopy in Brazil

This review discusses recent advances in lanthanide spectroscopy involving luminescence applications Q2 carried out in Brazil. The revised topics include glasses, sol–gel, light-emitting diodes, nanoparticles, metal–organic frameworks, coordination polymers, thin films, energy transfer processes, upconversion and development of new theoretical tools. The important role played by Prof. Oscar L. Malta on this subject is evidenced by his many contributions to the broad range of investigations reported here and this review is dedicated to him, on the occasion of his 60th birthday

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

LAJ2D - ROTINA DE DETALHAMENTO DE LAJES NO AMBIENTE AUTOCAD

A presente pesquisa apresenta uma rotina de cálculo programada em linguagem AutoLISP, elaborada para dimensionar e detalhar, dentro do ambiente AutoCAD, lajes maciças retangulares em concreto armado utilizando os critérios de normas vigentes. Para tal fim utilizou-se a linguagem de programação AutoLISP para o desenvolvimento da rotina. Essa rotina permite o cálculo e detalhamento de uma determinada laje, com base nas informações introduzidas pelo usuário, controlando as flechas e verificando os esforços solicitantes, que são realizados de acordo com as normas brasileiras atualizadas. A partir dessas informações, a rotina realiza o detalhamento das barras de aço usadas no dimensionamento e, além disto, cria uma tabela resumo com a quantidade de aço usado. Para testar a funcionalidade da rotina, três lajes de diferentes dimensões e propriedades foram calculadas, primeiramente utilizando a rotina de cálculo desenvolvida e posteriormente usando um software de elementos finitos, buscando validar a rotina desenvolvida. Por fim, os resultados encontrados com o dimensionamento das lajes por meio da rotina criada, mostraram uma boa concordância com os resultados obtidos com elementos finitos. Assim, a rotina criada mostrou-se capaz de proporcionar uma economia de tempo tanto para a realização dos cálculos quanto para o detalhamento de lajes em projetos estruturais

Clinical, Epidemiological and Therapeutic Evaluation in 14 Cases of Inflammatory Breast Cancer in Canines

With the aim of evaluating clinical aspects, age, breed, presence of metastasis, chemotherapeutical protocol, use of COX-2 inhibitors and survival rate in female dogs diagnosed with inflammatory carcinoma at the Hospital Veterinario de Uberaba (HVU), a retrospective analysis was performed on the medical records of 14 female dogs seen at HVU between July, 2011 and July, 2012 and diagnosed with inflammatory breast cancer. The breeds included were crossbred, poodle, Brazilian terrier, teckel and Belgian shepherd. Average age: 11.1 years. Outbreaks of distant metastasis were detected in 7 animals, out of which 5 patients received COX-2 inhibitors as sole treatment and only 4 received chemotherapeutical treatment. The protocol, constituted by piroxicam, cyclophosphamide, carboplatin and doxorubicin showed the highest survival time (210 days). In conclusion, inflammatory carcinoma is a disease of bad prognosis, short survival time and produces systemic alterations that reduce therapeutic response. Apparently, the most accurate therapeutic form is the association of COX-2 inhibitors and chemotherapeutics; however, controlled clinical studies are needed in order to evaluate these suggestions

Evaluación clínica, epidemiológica y terapéutica en 14 casos de carcinoma inflamatorio mamario canino

Con el objetivo de evaluar los aspectos clínicos, edad, raza, presencia de metástasis, protocolo quimioterapéutico, utilización de inhibidores de COX-2 y sobrevida en caninas diagnosticadas con carcinoma inflamatorio, en el Hospital Veterinario de Uberaba (HVU), se realizó un análisis retrospectivo de las historias clínicas de 14 hembras caninas atendidas en el HVU entre julio de 2011 y julio de 2012, con diagnóstico de carcinoma inflamatorio mamario. Las razas acometidas fueron mestizo, poodle, terrier brasilero, teckel y pastor belga. Edad media: 11,1 años. En 7 animales fueron detectados focos de metástasis a distancia. De ellos 5 pacientes recibieron como único tratamiento inhibidores de COX-2 y apenas 4 recibieron tratamiento quimioterapéutico. El protocolo, constituido por piroxicam, ciclofosfamida, carboplatina y doxorrubicina, presentó el mayor tiempo de sobrevida (210 días). En conclusión, el carcinoma inflamatorio es una enfermedad de mal pronóstico, poco tiempo de sobrevida, y ocasiona alteraciones sistémicas que disminuyen la respuesta terapéutica. Aparentemente la modalidad terapéutica más indicada es la asociación de inhibidores de COX-2 y quimioterapéuticos; sin embargo, son necesarios estudios clínicos controlados para evaluar estas sugestiones