Integration method of non-elementary exponential functions using iterated Fubinni integrals

The present work presents a new method of integration of non-elementary exponential functions where Fubinni\u27s iterated integrals were used. In this research, some approximations were used in order to generalize the results obtained through mathematical series, in addition to integration methods and double integrals. In addition to the integration methods, the Taylor series was used, where the value found and compatible with the values ​​of the power series that are used to calculate the value of the exponential function demonstrated in the work was verified. In addition to the methods described, a comparison of the values ​​obtained by the series and the values ​​described in the method was improvised, where it was noticed that the higher the value of the variable, the closer the results show a stability for the variable greater than the value 4, described in table 01. The conclusions point to a great improvement, mainly for solving elliptic differential equations and statistical functions

Grain and seed protein functionality

Editado por Jiménez-López, José Carlos (CSIC

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

The Genome of Anopheles darlingi, the main neotropical malaria vector

Anopheles darlingi is the principal neotropical malaria vector, responsible for more than a million cases of malaria per year on the American continent. Anopheles darlingi diverged from the African and Asian malaria vectors ∼100 million years ago (mya) and successfully adapted to the New World environment. Here we present an annotated reference A. darlingi genome, sequenced from a wild population of males and females collected in the Brazilian Amazon. A total of 10 481 predicted protein-coding genes were annotated, 72% of which have their closest counterpart in Anopheles gambiae and 21% have highest similarity with other mosquito species. In spite of a long period of divergent evolution, conserved gene synteny was observed between A. darlingi and A. gambiae. More than 10 million single nucleotide polymorphisms and short indels with potential use as genetic markers were identified. Transposable elements correspond to 2.3% of the A. darlingi genome. Genes associated with hematophagy, immunity and insecticide resistance, directly involved in vectorhuman and vectorparasite interactions, were identified and discussed. This study represents the first effort to sequence the genome of a neotropical malaria vector, and opens a new window through which we can contemplate the evolutionary history of anopheline mosquitoes. It also provides valuable information that may lead to novel strategies to reduce malaria transmission on the South American continent. The A. darlingi genome is accessible at www.labinfo.lncc.br/index.php/anopheles- darlingi. © 2013 The Author(s)

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

O que os psiquiatras brasileiros esperam das classificações diagnósticas?

OBJETIVO: Realizou-se um levantamento postal anônimo com psiquiatras brasileiros afiliados à Associação Brasileira de Psiquiatria (ABP) sobre uso, percepção em termos de utilidade clínica dos sistemas diagnósticos multiaxiais CID-10 e DSM-IV e, ainda, expectativas sobre as próximas revisões. MÉTODOS: A carta-convite, o questionário padronizado e um envelope selado foram enviados para 1.050 dos 3.062 psiquiatras associados da ABP, selecionados de forma randomizada. Em virtude da taxa relativamente baixa de retorno: 160 respostas (15,2%), não se pode afirmar que a amostra obtida seja representativa. resultados: Os principais resultados mostraram que, entre os respondentes, a CID-10 é o sistema diagnóstico mais utilizado, sobretudo seu eixo clínico. O DSM-IV também é amplamente empregado, principalmente os eixos I e II. A principal característica esperada de um sistema classificatório foi a confiabilidade para comunicação. As classificações são vistas como instrumentos a ser manejados pelos psiquiatras e, em menor proporção, por outros membros de equipes multidisciplinares de saúde mental. Os atuais sistemas foram considerados confiáveis para o uso transcultural no contexto brasileiro. Em relação às expectativas quanto aos futuros sistemas, os psiquiatras preferem classificações com menos de 100 rubricas diagnósticas e dividem-se entre os que acham que estas devam expressar preferencialmente causa/patogênese dos transtornos mentais e aqueles que esperam que tais categorias, sobretudo, sejam construídas de modo a subsidiar o planejamento terapêutico. CONCLUSÕES: Os sistemas diagnósticos desempenham um importante papel na prática psiquiátrica cotidiana dos psiquiatras respondentes. As opiniões dos psiquiatras brasileiros parecem refletir bem algumas controvérsias existentes acerca de questões nosográficas decisivas