DRIVERS OF DIFFERENT TYPES OF COLLABORATIVE CONSUMPTION

In this paper, we set out with two objectives: investigate the determinants to explain the satisfaction with different types of collaborative consumption and investigate the determinants to explain the intention to recommend different types of collaborative consumption. It develops and tests a research model using structural equation modeling. The survey data were collected from 431 collaborative consumers. Based on our results model, economic benefits and utility are the key motivators for these consumers. That is, collaborative consumers from Brazil are not very concerned about the environmental impacts, appear very independently-minded and opportunistic, and do not feel the impact of social influence upon their activities. Our model makes a contribution to the emergent stream of literature on the sharing economy, because, to our knowledge, this is the first study to formally test the drivers of collaborative consumption considering more than three kinds of collaborative practices.

Transição sociotecnológica para a mobilidade urbana sustentável no Brasil

This article identifies micro, meso, and macro dynamics that influence the socio-technical transitions of cities to sustainable urban mobility in Brazil. The study analyzed the content of documents such as the National Urban Mobility Policy (PNMU), and the master plans and urban mobility plans of the cities of São Paulo, Rio de Janeiro, Distrito Federal, Fortaleza, and Salvador. The research revealed that the master plans and other plans related to urban mobility of the main Brazilian capitals are developed in isolation, with no coordination among cities. At the micro level, the plans do not contemplate the adoption of alternative fuels and the effective integration among modes of public transport. At the meso level, three mobility regimes were introduced: the traditional public transport and non-motorized public transport regimes, which had a dynamic contrary to the regime of cars. At the macro level, the variables associated with the economic and social context, with the consumer market, and the industry shaped the trends of urban mobility systems. The research presents a dynamic of resistance to sustainable urban mobility and reinforces the need for greater coordination between private and public actors.O artigo avalia dinâmicas nos níveis micro, meso e macro que afetam o processo de transição sociotecnológica para a mobilidade urbana sustentável no Brasil. Procedeu-se uma análise de conteúdo da Política Nacional de Mobilidade Urbana (PNMU) e dos planos diretores e de mobilidade urbana das cidades de São Paulo, Rio de Janeiro, Brasília, Fortaleza e Salvador. A pesquisa revelou que os planos diretores e de mobilidade urbana das principais capitais do país são desenvolvidos de forma isolada e sem articulação entre os atores. No nível micro, os planos não contemplam a adoção de combustíveis alternativos e a integração eficaz de modais de transportes públicos.  No nível meso, três regimes de mobilidade foram introduzidos: os regimes de transporte público tradicional e transporte público não motorizado, que tiveram uma dinâmica contrária ao regime de carros particulares. No nível macro, as variáveis associadas ao contexto econômico, sociais, mercado consumidor e indústria moldam as macrotendências dos sistemas de mobilidade urbana. A pesquisa apresenta uma dinâmica de resistência à mobilidade urbana sustentável, e reforça a necessidade de uma maior articulação entre os atores públicos e privados

SIMPLICIDADE VOLUNTÁRIA E ARMÁRIO-CÁPSULA: VALORES E MOTIVAÇÕES NO CONSUMO DE VESTUÁRIO

O objetivo deste estudo foi analisar aspectos da Simplicidade Voluntária (SV) no processo de adoção do conceito do Armário-Cápsula (AC) pelo público feminino. Em uma abordagem exploratória e qualitativa, foram feitas entrevistas semiestruturadas com 13 adeptas do conceito. Os dados foram analisados segundo a Análise de Conteúdo. Os valores de SV preponderantes para a adoção do AC foram: foco no self e consciência ecológica. O conceito é adaptável, sem um número fixo de peças e intervalo de tempo de 3 meses. Percebeu-se a valorização do consumo de experiências. Tendências de consumo da SV foram incorporadas pelas entrevistadas, além dos seguintes valores: foco na sociedade, consciência ecológica, foco no self, foco nos relacionamentos, simplicidade material

Quality of life of medicine students in the pandemic: a prospective observational cross-sectional study

The COVID-19 pandemic has had major impacts on the mental and psychological health of young students. Stress, anxiety, depression, and a sedentary lifestyle are some of the consequences generated during the necessary social isolation. In this way, medical education has transformed due to the current Covid 19 epidemic, which has affected students and teachers of medical education in the country. In this way, the present research intends to collect data to evaluate the affected areas of the students in terms of quality of life, health, and other areas of their lives, thus being able to bring new information that can be used for a better approach to the theme. Therefore, this study evaluated the quality of life of medical students during the pandemic through the application of a remote questionnaire

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

Panoramic snapshot of serum soluble mediator interplay in pregnant women with convalescent COVID-19: an exploratory study

IntroductionSARS-CoV-2 infection during pregnancy can induce changes in the maternal immune response, with effects on pregnancy outcome and offspring. This is a cross-sectional observational study designed to characterize the immunological status of pregnant women with convalescent COVID-19 at distinct pregnancy trimesters. The study focused on providing a clear snapshot of the interplay among serum soluble mediators.MethodsA sample of 141 pregnant women from all prenatal periods (1st, 2nd and 3rd trimesters) comprised patients with convalescent SARS-CoV-2 infection at 3-20 weeks after symptoms onset (COVID, n=89) and a control group of pre-pandemic non-infected pregnant women (HC, n=52). Chemokine, pro-inflammatory/regulatory cytokine and growth factor levels were quantified by a high-throughput microbeads array.ResultsIn the HC group, most serum soluble mediators progressively decreased towards the 2nd and 3rd trimesters of pregnancy, while higher chemokine, cytokine and growth factor levels were observed in the COVID patient group. Serum soluble mediator signatures and heatmap analysis pointed out that the major increase observed in the COVID group related to pro-inflammatory cytokines (IL-6, TNF-α, IL-12, IFN-γ and IL-17). A larger set of biomarkers displayed an increased COVID/HC ratio towards the 2nd (3x increase) and the 3rd (3x to 15x increase) trimesters. Integrative network analysis demonstrated that HC pregnancy evolves with decreasing connectivity between pairs of serum soluble mediators towards the 3rd trimester. Although the COVID group exhibited a similar profile, the number of connections was remarkably lower throughout the pregnancy. Meanwhile, IL-1Ra, IL-10 and GM-CSF presented a preserved number of correlations (≥5 strong correlations in HC and COVID), IL-17, FGF-basic and VEGF lost connectivity throughout the pregnancy. IL-6 and CXCL8 were included in a set of acquired attributes, named COVID-selective (≥5 strong correlations in COVID and <5 in HC) observed at the 3rd pregnancy trimester.Discussion and conclusionFrom an overall perspective, a pronounced increase in serum levels of soluble mediators with decreased network interplay between them demonstrated an imbalanced immune response in convalescent COVID-19 infection during pregnancy that may contribute to the management of, or indeed recovery from, late complications in the post-symptomatic phase of the SARS-CoV-2 infection in pregnant women

Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV)