Hue, saturation and color lightness, the reflex o nature: the role of color in the aesthetic configuration of slow fashion products

Esse trabalho teve como objetivo identificar se os atributos da cor - matiz, saturação e claridade – quando aplicados ao produto de moda, são capazes de comunicar a ideia de sustentabilidade. Assim, conduziu-se um questionário virtual de abordagem mista com 31 voluntários, de ambos os gêneros. Para elaboração do questionário foi utilizado um único produto, e sua imagem fotográfica foi editado pelo photoshop. No questionário, foi pedido para que olhassem um mesmo produto, alterando somente suas cores, e indicassem qual aparentava maior sustentabilidade. Como resultado, identificou-se que o matiz esverdeado não foi o que comunicou a maior ideia de sustentabilidade nos produtos de moda, em contrapartida foi a cor marrom e azul. O nível de saturação médio foi o que trouxe mais a ideia de sustentabilidade, bem como a claridade alta. Percebeu-se que os respondentes criaram uma relação entre consumo ambiental na produção de pigmentos e grau de sustentabilidade da roupa.This work aimed to identify whether the attributes of color - hue, saturation and color lightness - when applied to the fashion product, are capable of communicating the idea of sustainability. Thus, a virtual questionnaire with a mixed approach was conducted with 31 volunteers, of both genders. To prepare the questionnaire, a single product was used, and its photographic image was edited by photoshop. In the questionnaire, they were asked to look at the same product, changing only its colors, and to indicate which appeared to be the most sustainable. As a result, it was identified that the greenish hue was not the one that communicated the greatest idea of sustainability in fashion products, in contrast, it was brown and blue. The medium saturation level was what brought the idea of sustainability, as well as the high clarity. It was noticed that the respondents created a relationship between environmental consumption in the production of pigments and the degree of sustainability of the clothes

Displasia cemento óssea florida: relato de caso / Florida bone cement dysplasia: case report

A Displasia Cemento-Óssea Florida é uma lesão benigna, onde há substituição de tecido ósseo normal por tecido conjuntivo em associação com substância cementóide. Sendo diagnosticado durante a rotina clínica por achado radiográfico, tendo predileção, sexo feminino e melanoderma. Tem como objetivo apresentar um caso clínico de Displasia Cemento-Óssea do tipo Florida de uma mulher de 59 anos de idade, melanoderma por meio do exame clínico e imagem. Foi atendida pela extensão de Estomatologia - SERPROBEM do Centro Universitário Cesmac. Queixando-se: “que foi instruída por um cirurgião-dentista a procurar um estomatologista”. Após avaliação clínica e exame complementar de imagem, a radiografia panorâmica, confirmam a Displasia Cemento- Óssea Florida, verificou-se lesão de aspecto misto na região de corpo da mandíbula, bilateral, mostrando calcificações densas. Tendo como conduta inicial adequação do meio bucal e acompanhamento clínico e radiográfico. O presente estudo mostra a importância do conhecimento pelo cirurgião-dentista de lesões fibro-óssea dos óssos gnáticos para diagnóstico e tratamento correto

Fibroma em mucosa jugal: relato de caso / Fibroma in the jugal mucosa: a case report

O fibroma traumático representa a lesão mais comum entre os tumores benignos encontrados em cavidade oral. Este trabalho tem por objetivo relatar um caso de hiperplasia fibrosa inflamatória em mucosa jugal, em um paciente que apresentou evolução da lesão de 4 anos após realizar uma exodontia, apresentando suas características clínicas e histopatológicas e seu tratamento.

Contenção mecânica: condutas adotadas pela equipe de enfermagem em uma unidade de emergência psiquiátrica / Mechanical containment: behaviors adopted by the nursing team in a psychiatric emergency unit

O estudo objetivou compreender as condutas adotadas pela equipe de enfermagem em uma unidade de emergência psiquiátrica na realização da contenção mecânica. Estudo de natureza exploratória e descritiva, de abordagem qualitativa. A coleta de dados ocorreu por meio de uma entrevista individual semiestruturada e analisadas segundo a análise de conteúdo. Participaram 05 enfermeiros e 33 técnicos de enfermagem. Através desse estudo foi possível identificar que a equipe de enfermagem não está preparada para atuar na contenção mecânica, uma vez que não realizam o procedimento seguindo as recomendações do protocolo de contenção estabelecido pela instituição. Desta forma, compromete a segurança do paciente e dos profissionais que estão diretamente envolvidos no procedimento de atenção emergencial ao paciente com transtorno mental

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

Azimuthal anisotropy of charged jet production in root s(NN)=2.76 TeV Pb-Pb collisions

We present measurements of the azimuthal dependence of charged jet production in central and semi-central root s(NN) = 2.76 TeV Pb-Pb collisions with respect to the second harmonic event plane, quantified as nu(ch)(2) (jet). Jet finding is performed employing the anti-k(T) algorithm with a resolution parameter R = 0.2 using charged tracks from the ALICE tracking system. The contribution of the azimuthal anisotropy of the underlying event is taken into account event-by-event. The remaining (statistical) region-to-region fluctuations are removed on an ensemble basis by unfolding the jet spectra for different event plane orientations independently. Significant non-zero nu(ch)(2) (jet) is observed in semi-central collisions (30-50% centrality) for 20 <p(T)(ch) (jet) <90 GeV/c. The azimuthal dependence of the charged jet production is similar to the dependence observed for jets comprising both charged and neutral fragments, and compatible with measurements of the nu(2) of single charged particles at high p(T). Good agreement between the data and predictions from JEWEL, an event generator simulating parton shower evolution in the presence of a dense QCD medium, is found in semi-central collisions. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).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 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

Pseudorapidity and transverse-momentum distributions of charged particles in proton-proton collisions at root s=13 TeV

The pseudorapidity (eta) and transverse-momentum (p(T)) distributions of charged particles produced in proton-proton collisions are measured at the centre-of-mass energy root s = 13 TeV. The pseudorapidity distribution in vertical bar eta vertical bar <1.8 is reported for inelastic events and for events with at least one charged particle in vertical bar eta vertical bar <1. The pseudorapidity density of charged particles produced in the pseudorapidity region vertical bar eta vertical bar <0.5 is 5.31 +/- 0.18 and 6.46 +/- 0.19 for the two event classes, respectively. The transverse-momentum distribution of charged particles is measured in the range 0.15 <p(T) <20 GeV/c and vertical bar eta vertical bar <0.8 for events with at least one charged particle in vertical bar eta vertical bar <1. The evolution of the transverse momentum spectra of charged particles is also investigated as a function of event multiplicity. The results are compared with calculations from PYTHIA and EPOS Monte Carlo generators. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe