How do the political constraints of the host country affect the choice of a new geographical market in the construction sector?

MNEs, before taking a decision to internationalize, should analyze the macro environment factors affecting a foreign market, which avoids/decreases uncertainty. Hence, understanding the political constraints when choosing the geographical market is imperative. This is true, especially for the construction industry because it is a regulated industry, which means that companies need to have a permit from the government in order to operate in this industry. Furthermore, companies working in the heavy construction industry have the government as their main client because most of the projects are public. In order to understand the political factors affecting the choice of a new geographical market we did participant observation and conduct four interviews to the managers of a Portuguese scaffolder services provider company. Our findings suggest that the relationships between companies and governments are particularly important in countries characterized by political instability. In countries with high policy discretion, in which the ruling body can change the law suddenly according to their preferences, it is essential to establish close ties with the government. If the company is able to establish stronger ties, it has competitive advantage, if not, managers are risk averse and tend to not invest in that country. Companies that invest in a foreign country, without that capability, may fail due to the institutional distance and the lack of managerial training. Furthermore, the stability of the country influences the commitment and confidence of a firm in that market.Previamente à decisão de internacionalização, as empresas multinacionais devem analisar os fatores macroeconómicos dos potenciais mercados, de modo a prevenir/reduzir a incerteza. Perceber as restrições de índole política na escolha de um mercado geográfico é imperativo. Isto é especialmente verdade para empresas de construção: por ser uma indústria regulada, uma vez que é necessário um alvará atribuído pelo Governo para que uma empresa esteja apta a operar nesse sector; e porque, se forem empresas que trabalhem em projetos de grande especialidade e dimensão, terem o Estado como o seu principal cliente, pois a maioria destes projetos são obras públicas. De modo a compreender os fatores políticos que afetam a escolha de um novo mercado geográfico, fizemos uma observação qualitativa e realizámos quatro entrevistas a gestores de uma empresa portuguesa que fornece e instala andaimes. Os resultados obtidos sugerem que a relação entre empresas e governos é particularmente importante em países caracterizados por instabilidade política. Em países em que os governantes detêm o poder de alterar leis repentinamente de acordo com as suas conveniências, é essencial estabelecer relações próximas com o Poder. A capacidade de estabelecer esses laços fortes confere vantagem competitiva à empresa. Caso contrário, os gestores são adversos ao risco e tendem a não investir nesses mercados. Empresas que investem num país estrangeiro, sem essa capacidade, podem vir a fracassar por não estabelecer laços de proximidade institucional e por falta de experiência dos gestores. A estabilidade de um país influencia o empenho e a confiança da empresa nesse mercado

Influenza seroprotection correlates with predominant circulating viruses during 2014/15 and 2015/16 seasons in Portugal

Rede Portuguesa de Laboratórios para o Diagnóstico da GripeBACKGROUND: Population immune profile for influenza is highly affected by circulating influenza viruses, thus changing the risk of infection for influenza. This study aims to assess influenza immunity in the Portuguese population by age groups, during 2014 and 2015 and establish a relationship between seroprotection and circulating influenza viruses in 2014/15 and 2015/16 seasons. METHODS: Two cross-sectional studies were developed based on a convenience serum sample collected in June 2014 (n=626) and July 2015 (n=675) in hospitals from mainland and Azores and Madeira.Serums equally represent all age groups. Antibody titers were evaluated by HI assay for strains recommended for seasonal influenza vaccine northern hemisphere,2014/15 and 2015/2016. Seroprevalences were estimated for each strain by age group and the association with seasonal cumulative influenza-like illness (ILI) rates for influenza virus during both seasons was analised. RESULTS: In June 2014 the highest seroprotection was observed for influenza A(H3) (39.0%; 95% CI: 36.2-43.8%) and A(H1)pdm09 (29.7; 95% CI: 26.3-33.4%), with higher levels in children 5-14 years old. In 2014/2015 a dominant circulation of influenza B/Yamagata was observed with high incidence rates in individuals under 65 years old, the ones that had lower seroprotection. Although before the start of the season high protection for A(H3) was observed, the circulation of the new drift A(H3) strains had gained an immunological advantage,in accordance with A(H3) elevated incidence rates observed during 2014/15. In July 2015 the highest seroprotection was observed for influenza B/ Yamagata (55.1%; 95% CI: 51.4-58.9%), 2.4 times the estimated 2014.This increase was even more pronounced in younger (≤ 4 years old), 6.3 times increase in 2015.This fact is in agreement with the predominant influenza B virus detected and the high ILI incidence rate observed in children during 2014/2015 epidemic. Seroprotection levels for influenza A in July 2015 were not significantly different from 2014.During 2015/16 season, influenza A(H1N1)pdm09 was predominant, with high incidence rate in < 65 year old. Influenza B/Victoria lineage,although detected at low levels increased in frequency, in agreement with the lowest level of seroprotection detected in the general population before the start of 2015/2016 season (21.8%; 95% CI: 18.7-24.0%). CONCLUSIONS There was a correlation between virus circulation, incidence rates for each age group and the previous seroprotection for seasonal influenza viruses.Our study highlights the value of measuring the serological profile for influenza to establishe risk groups for infection for which an increase preventive measures, including vaccination, should be fostered.info:eu-repo/semantics/publishedVersio

Isolamento

info:eu-repo/semantics/publishedVersio

Conhecendo a síndrome de autofermentação: etiopatogenia, apresentação e abordagem

Revisar os dados sobre síndrome da autofermentação disponíveis na literatura e reforçar a possibilidade dessa condição como hipótese durante as avaliações diagnósticas. Revisão de literatura de caráter exploratório com estudos selecionados nas plataformas PubMED e Google Scholar, no período de 2015 a 2024. Foram elegidos, após a aplicação dos critérios de seleção e exclusão, 20 artigos para a leitura completa e adicionados 4 materiais extras de valor para o estudo.&nbsp; A síndrome da autofermentação é uma intoxicação alcoólica de origem endógena, causada, principalmente, por fungos fermentadores após um processo de disbiose intestinal. Suas principais manifestações incluem desorientação, descoordenação motora, marcha atáxica e desinibição social. O diagnóstico é realizado por anamnese detalhada, detecção de altos níveis séricos de álcool e teste do desafio dos carboidratos positivo. O manejo da condição consiste em evitar fatores que prejudiquem o microbioma intestinal e tratar os agentes causadores com uso de antifúngicos principalmente. A síndrome da autofermentação pode ter impacto nos contextos médico, legal e social. É necessário que ela seja mais disseminada entre a comunidade médica e leiga com intuito de permitir que o paciente possa ter um diagnóstico e tratamento adequados

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

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

Diagnóstico diferencial da Síndrome de Takotsubo e infarto agudo do miocárdio: uma revisão sistemática: Differential diagnosis of Takotsubo Syndrome and acute myocardial infarction: a systematic review

A cardiomiopatia de Takotsubo e o infarto agudo do miocárdio compartilham apresentação clínica e risco de morte semelhantes, embora uma das diferenças mais importantes seja a ausência de doença coronariana obstrutiva na cardiomiopatia de Takotsubo. Neste estudo, tem-se como objetivo analisar a literatura disponível avaliando o diagnóstico diferencial entre pacientes com CTT em comparação com pacientes com infarto agudo do miocárdio. Para isso, foi realizada uma revisão sistemática, utilizando-se a Pubmed e a Medline como base de dados. A partir da análise dos estudos e interpretação de suas principais descobertas, concluiu-se que para pacientes com CTT, outras condições e comorbidades, em vez de apenas dislipidemia e/ou outros fatores de risco estabelecidos, sejam responsáveis por um risco de morte comparável ao de IAM. No entanto, as conclusões desse estudo têm várias limitaçõe

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ