O perfil dos gestores de informação para a indústria capixaba

Estudo que teve como objetivo mapear o perfil acadêmico e técnico-empresarial dos profissionais que atuam como gestores da informação para a indústria capixaba, buscando contextualizar o exercício profissional do bibliotecário. Realizou-se pesquisa tipo exploratório-descritiva do tipo levantamento, com a aplicação de formulário com questões abertas e fechadas. Os resultados permitem inferir que a maioria dos profissionais desconhece as etapas do processo de gestão da informação. Constata também reduzida presença de bibliotecários atuando no setor de informação dessas indústrias, e que por mais que esses profissionais teoricamente conheçam os processos de gestão da informação, a maioria não o aplica de forma linear. No entanto, fica evidente que o setor industrial capixaba está aberto a profissionais que busquem a composição de um perfil inovador diante das demandas de um mercado dinâmico e que o bibliotecário pode vir a ser importante ator na construção desse novo cenário. Palavras-chave: Informação para negócios. Informação para a indústria. Análise de perfil profissional. The profile of information managers for industry in Espirito Santo Abstract The objective of this article is to map the academic profile of entrepreneurial professionals who work as information managers for industry in Espírito Santo State trying to contextualize the librarian’s work. Thus, an exploratory and descriptive research, based on a questionnaire with broad and narrow questions was done. The results of this study suggest that most of the information workers do not know the procedural levels of information management. The results also suggest that there are a small number of librarians working at industries in the state, yet, those librarians do not apply such procedural levels linearly. It’s evident that industry in Espirito Santo is open to workers aiming to be part of an innovative profile before the newest demanding of a dynamic market. Librarians may become a very important agent for constructing this new scenario. Keywords: Information management. Information industry. Professional profile analysis

Os fatores determinantes e as complicações oriundas do crescimento fetal restrito: Determining factors and complications arising from restricted fetal growth

O feto portador de restrição do crescimento fetal intra-uterino evolui sem alcançar o seu potencial genético de crescimento. Destacando, que o Crescimento Intra-Uterino Restrito (CIUR) condiz a um complexo heterogêneo, caracterizado pela maioria ser de fetos biologicamente pequenos, mas não se encaixam na condição patológica, a qual urge por monitoramento. Neste contexto, pode estar ou não relacionado a inúmeras doenças a qual necessitam ser diagnosticadas. O objetivo deste estudo foi analisar os fatores relacionados na etiologia e das complicações da restrição do crescimento intra-uterino. As informações existentes na literatura evidenciam a existência de vários desencadeantes nesta ocorrência, a qual abordam a associação de fatores maternos, placentários e fetais. Os distintos grupos possivelmente podem coexistir de modo simultâneo, sendo parte destes passíveis de prevenção

Observation of Higgs boson production in association with a top quark pair at the LHC with the ATLAS detector

The observation of Higgs boson production in association with a top quark pair ( tt¯H ), based on the analysis of proton–proton collision data at a centre-of-mass energy of 13 TeV recorded with the ATLAS detector at the Large Hadron Collider, is presented. Using data corresponding to integrated luminosities of up to 79.8 fb −1 , and considering Higgs boson decays into bb¯ , WW⁎ , τ+τ− , γγ , and ZZ⁎ , the observed significance is 5.8 standard deviations, compared to an expectation of 4.9 standard deviations. Combined with the tt¯H searches using a dataset corresponding to integrated luminosities of 4.5 fb −1 at 7 TeV and 20.3 fb −1 at 8 TeV, the observed (expected) significance is 6.3 (5.1) standard deviations. Assuming Standard Model branching fractions, the total tt¯H production cross section at 13 TeV is measured to be 670 ± 90 (stat.) −100+110 (syst.) fb, in agreement with the Standard Model prediction.Peer Reviewe

Measurement of photon–jet transverse momentum correlations in 5.02 TeV Pb + Pb and pppp collisions with ATLAS

Jets created in association with a photon can be used as a calibrated probe to study energy loss in the medium created in nuclear collisions. Measurements of the transverse momentum balance between isolated photons and inclusive jets are presented using integrated luminosities of 0.49 nb$^{-1}$ of Pb+Pb collision data at $\sqrt{s_\mathrm{NN}}=5.02$ TeV and 25 pb$^{-1}$ of $pp$ collision data at $\sqrt{s}=5.02$ TeV recorded with the ATLAS detector at the LHC. Photons with transverse momentum $63.1 31.6$ GeV and pseudorapidity $\left|\eta^\mathrm{jet}\right| 7\pi/8$. Distributions of the per-photon jet yield as a function of $x_\mathrm{J\gamma}$, $(1/N_\gamma)(\mathrm{d}N/\mathrm{d}x_\mathrm{J\gamma})$, are corrected for detector effects via a two-dimensional unfolding procedure and reported at the particle level. In $pp$ collisions, the distributions are well described by Monte Carlo event generators. In Pb+Pb collisions, the $x_\mathrm{J\gamma}$ distribution is modified from that observed in $pp$ collisions with increasing centrality, consistent with the picture of parton energy loss in the hot nuclear medium. The data are compared with a suite of energy-loss models and calculations.Peer Reviewe

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

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