Influence of different sponsorship contexts in the bios*: consumer brand relationship model (BCBR model) mutualism and antagonism clusters and purchase intention

Main objective of this research was to evaluate the effect of different sponsorship contexts, Music and Football, in the Bios-Consumer Brand Relationship Model (BCBR), mainly in its Mutualism and Antagonism constructs, via Brand Affect, Brand Trust and Brand Attitudinal Loyalty and also in Purchase Intention, focused on two main beer Brands: Super Bock and Sagres. The adopted methodology, mixed method approach, has two phases: Phase I, a BCBR model validation through a triangulation of methods: interviews, focus group and internet/digital research, and Phase II, a quantitative method approach, to analyze if there were mutualism and antagonism effects and purchase intention in different sponsoring contexts, answering to the research questions with the application of questionnaires in an experimental design approach for both sponsoring contexts. Results show that the BCBR Model and its different new language are valid. The sponsorship influences the CBR constructs and different contexts lead to different influences. Music enhances Brand Trust whilst football has a higher influence in Brand Affect. However, these brand constructs reinforcements are not directly translated into purchase intention in a large scale. When analyzing correlations, music reinforces the emotional relationship with the sponsoring brand via stronger CBR constructs correlations. When analyzing football, correlations between CBR constructs and purchase intention for the category are strengthened. There is a slight antagonism between consumers and the non-sponsoring brand for football. Music territory appears to be a better managerial option in case of seeking to reinforce CBR and increase mutualism between brand and consumer mainly brand trust.O principal objetivo desta investigação prende-se com a avaliação de diferentes contextos de patrocínio, musica e futebol, no modelo BCBR (Bios-Consumer Brand Relationship Model), nomeadamente nos construtos de Mutualismo e Antagonismo, via Afeto, Confiança e Lealdade Atitudinal pela Marca e também Intenção de Compra, baseado em duas grandes Marcas de cerveja: Super Bock e Sagres. A metodologia adoptada baseada no método misto, tem duas fases: Fase I, centra-se na validação do modelo BCBR através da triangulação dos seguintes métodos: entrevistas, focus groups e investigação internet/digital, a Fase II, baseada numa abordagem de método quantitativo, permite analisar e avaliar a existência de efeitos de mutualismo e antagonismo assim como efeitos na intenção de compra nos diferentes contextos de patrocínio. Responde deste modo às questões de investigação através da aplicação de um inquérito usando uma abordagem de desenho experimental para cada um dos contextos de patrocínio. Os resultados demonstram que o Modelo BCBR e a sua inovadora linguagem específica são válidos, que os patrocínios influenciam os construtos CBR e, que diferentes contextos de patrocínio levam a diferentes influências. A música reforça a Confiança na Marca enquanto que patrocinar um clube de futebol tem uma maior influência no Afeto pela Marca, sendo o efeito direto na intenção e compra apenas ligeiro. Quando se avaliam as correlações, a musica reforça a relação emocional com a marca patrocinadora dado que as correlações entre os contrutos CBR com a Marca são mais fortes. No contexto de futebol, as correlações entre estes contrutos e a intenção de compra são reforçados. Existem sinais de antagonismo entre consumidores e a marca não patrocinadora no caso do futebol. O território da música parece ser uma melhor opção de gestão no caso de procura de reforço de CBR e aumento de mutualismo entre marca e consumidor

Transcriptional profiles of the human pathogenic fungus paracoccidioides brasiliensis in mycelium and yeast cells

This work was supported by MCT, CNPq, CAPES, FUB, UFG, and FUNDECT-MS. PbGenome Network: Alda Maria T. Ferreira, Alessandra Dantas, Alessandra J. Baptista, Alexandre M. Bailão, Ana Lídia Bonato, André C. Amaral, Bruno S. Daher, Camila M. Silva, Christiane S. Costa, Clayton L. Borges, Cléber O. Soares, Cristina M. Junta, Daniel A. S. Anjos, Edans F. O. Sandes, Eduardo A. Donadi, Elza T. Sakamoto-Hojo, Flábio R. Araújo, Flávia C. Albuquerque, Gina C. Oliveira, João Ricardo M. Almeida, Juliana C. Oliveira, Kláudia G. Jorge, Larissa Fernandes, Lorena S. Derengowski, Luís Artur M. Bataus, Marcus A. M. Araújo, Marcus K. Inoue, Marlene T. De-Souza, Mauro F. Almeida, Nádia S. Parachin, Nadya S. Castro, Odair P. Martins, Patrícia L. N. Costa, Paula Sandrin-Garcia, Renata B. A. Soares, Stephano S. Mello, and Viviane C. B. ReisParacoccidioides brasiliensis is the causative agent of paracoccidioidomycosis, a disease that affects 10 million individuals in Latin America. This report depicts the results of the analysis of 6,022 assembled groups from mycelium and yeast phase expressed sequence tags, covering about 80% of the estimated genome of this dimorphic, thermo-regulated fungus. The data provide a comprehensive view of the fungal metabolism, including overexpressed transcripts, stage-specific genes, and also those that are up- or down-regulated as assessed by in silico electronic subtraction and cDNA microarrays. Also, a significant differential expression pattern in mycelium and yeast cells was detected, which was confirmed by Northern blot analysis, providing insights into differential metabolic adaptations. The overall transcriptome analysis provided information about sequences related to the cell cycle, stress response, drug resistance, and signal transduction pathways of the pathogen. Novel P. brasiliensis genes have been identified, probably corresponding to proteins that should be addressed as virulence factor candidates and potential new drug targets

COVID-Inconfidentes - SARS-CoV-2 seroprevalence in two Brazilian urban areas during the pandemic first wave: study protocol and initial results

Background: A population study is an important tool that can be used to understand the actual epidemiological scenario of the Covid-19 in different territories, identify its magnitude, understand its transmission dynamics, and its demographic, geographical, and social distribution. Objective: The aim of this study was to determine the prevalence and dynamics of SARS-CoV-2 infection in the population of two Brazilian cities during the pandemic first wave and subsequent socioeconomic and health effects. Materials & methods: This paper described the methodological procedures adopted and the prevalence of the SARS-CoV-2 infection in the population. A household survey was conducted between October and December 2020, in two historic cities of Brazil's mining region. Anti-SARS-CoV-2 antibody was detected using the Wondfo® rapid test. The face-to-face interview consisted of administration of a questionnaire containing registration data, sociodemographic and economic variables, living habits, general health condition, mental health, sleep habits, and eating and nutrition. Results: We evaluated 1,762 residents, of which 764 (43.4%) were in Mariana and 998 (56.6%) in Ouro Preto. For both cities, 51.9% of the interviewees were female, with a predominance of the age range 35 to 59 years old (47.2%). The prevalence of the SARS-CoV-2 infection was 5.5% in all cities, 6.2% in Ouro Preto, and 4.7% in Mariana. The prevalence was similar between cities (P>0.05). Conclusion: The study was effective in verifying the seroprevalence of infection by the virus and its findings will enable further analyses of the health conditions of the population related to social isolation and the risk of infection with SARS-CoV-2

Eficácia de intervenções imunomoduladoras para o tratamento da Esclerose Lateral Amiotrófica (ELA)

A esclerose lateral amiotrófica (ELA) é uma doença neurodegenerativa que afeta as células nervosas responsáveis pelo controle dos músculos voluntários, resultando em fraqueza muscular e atrofia. Nesse contexto, as intervenções imunomoduladoras têm como objetivo modular a resposta imune do organismo, ao reduzir a inflamação e possibilitar a neuroproteção, a partir do uso de anticorpos monoclonais, inibidores de citocinas e moduladores do sistema imunológico. No entanto, a eficácia de tais intervenções no tratamento da ELA ainda é incerta. Nesse sentido, o presente estudo tem como objetivo analisar a eficácia de intervenções imunomoduladoras para o tratamento da esclerose lateral amiotrófica. Para isso, foram selecionados cinco artigos que abordavam sobre a sua eficácia, por meio de uma estratégia de busca com recorte temporal entre 2017 e 2023, nas bases de dados PubMed (Medline), Cochrane Library e Embase. As intervenções imunomoduladoras, como o uso de inibidores de citocinas, têm demonstrado eficácia no tratamento da esclerose lateral amiotrófica (ELA). Além disso, há evidências de que a inflamação crônica pode estar envolvida em sua patogênese, o que sugere que a modulação do sistema imunológico pode ser uma abordagem terapêutica promissora. Em estudos clínicos recentes, a terapia com inibidores de citocinas mostrou-se capaz de reduzir a progressão da doença e melhorar a qualidade de vida dos pacientes com ELA. Ademais, há evidências que o uso de células-tronco pode melhorar o status funcional em pacientes com a doença. Entretanto, são necessários mais estudos, como ensaios clínicos randomizados e revisões sistemáticas com meta-análises, a fim de ratificar a eficácia das estratégias imunomoduladoras para a patologia

SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal

Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration with more than 50 laboratories distributed nationwide. Methods By applying recent phylodynamic models that allow integration of individual-based travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal. Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland), which were consistent with the countries with the highest connectivity with Portugal. Although most introductions were estimated to have occurred during early March 2020, it is likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the first cases were confirmed. Conclusions Here we conclude that the earlier implementation of measures could have minimized the number of introductions and subsequent virus expansion in Portugal. This study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team, IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation (https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing guidance on the implementation of the phylodynamic models; Joshua L. Cherry (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health) for providing guidance with the subsampling strategies; and all authors, originating and submitting laboratories who have contributed genome data on GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions expressed in this article are those of the authors and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. This study is co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info: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 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

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt