a comparative study of the US and the UK

Rita, P., Brochado, A., & Dimova, L. (2019). Millennials’ travel motivations and desired activities within destinations: a comparative study of the US and the UK. Current Issues in Tourism, 22(16), 2034-2050. https://doi.org/10.1080/13683500.2018.1439902Millennials are one of the largest groups to be targeted by tourism companies. This paper compares the travel motivations of Millennials from both the United States and the United Kingdom by ratings, rankings and perceptual structures of both push and pull factors. This exploratory study used a questionnaire to examine the inner motivations (e.g. push factors) and preferred destination activities (e.g. pull factors) of American and British Millennials (n = 322). Data analysis included the non-parametric Mann–Whitney U test, Kendall’s coefficient of concordance, an alternating least-squares algorithm (ALSCAL) model and ordinal regression. The results reveal that American and British Millennials are quite homogeneous in their push travel motivations and destination activity preferences. The most important motivational factors for both are ‘to relax’ and ‘to escape from the ordinary’. Both nationalities also agree that the most attractive destination activities are ‘to try local food’ and ‘to go sightseeing’. The findings indicate that the US and UK samples are similar and that there is room for segmentation according to demographics.authorsversionpublishe

The islands of the senses of Cape Verde

Oliveira, C., Brochado, A., Moro, S., & Rita, P. (2019). Consumer perception of tourist experience through online reviews: The islands of the senses of Cape Verde. Worldwide Hospitality and Tourism Themes, 11(6), 696-717. https://doi.org/10.1108/WHATT-09-2019-0052Purpose: Overall, there is a lack of research using online reviews as a proxy of customer experience when addressing the study of tourism in island destinations. Design/methodology/approach: The current investigation aims to fill this gap by focussing on an African small island developing states, i.e. Cape Verde. This paper reports of tourist reviews extracted from TripAdvisor from “two islands of the senses” as coined by this archipelago’s national tourism organization, specifically Santo Antão and Fogo islands. The data analysis was performed through Leximancer software to generate concepts out of words, followed by themes. Findings: The present research focussed on experiences in island tourism to identify their main dimensions based on visitors’ narratives in online reviews. The obtained results are of potential value to the literature by contributing to a better understanding of tourist experience in the context of tourism in islands in an understudied country, Cape Verde. Originality/value: Results are presented and object of discussion vis-à-vis scientific literature and conclusions put forward in this journal paper.authorsversionpublishe

themes in online reviews

Brochado, A., Rita, P., Oliveira, C., & Oliveira, F. (2019). Airline passengers’ perceptions of service quality: themes in online reviews. International Journal of Contemporary Hospitality Management, 31(2), 855-873. https://doi.org/10.1108/IJCHM-09-2017-0572Purpose: This paper aims to identify the main themes shared in online reviews by airline travellers, as well as which of these themes were linked with higher and lower value for money ratings. Design/methodology/approach: The research used mixed content analyses (i.e. quantitative and qualitative) to examine 1,200 reviews of six airline companies shared by airline travellers in a social media platform. Findings: The analyses revealed nine themes in descriptions of airline travel experiences. These are the core services during “flights”, “airport” operations, crew and ground “staff”, ticket “classes”, “seats”, inflight “services”, “entertainment”, overall experiences of “airlines” and post-purchase recommendations of with which companies to “fly”. Low value for money ratings are linked with the “airport” and “flights” themes. Originality/value: The results offer useful insights into airline travellers’ overall experiences based on social media information and facilitate the identification of the main themes linked with different value for money ratings.authorsversionpublishe

Improved vanillin production in baker's yeast through in silico design

<p>Abstract</p> <p>Background</p> <p>Vanillin is one of the most widely used flavouring agents, originally obtained from cured seed pods of the vanilla orchid <it>Vanilla planifolia</it>. Currently vanillin is mostly produced <it>via </it>chemical synthesis. A <it>de novo </it>synthetic pathway for heterologous vanillin production from glucose has recently been implemented in baker's yeast, <it>Saccharamyces cerevisiae</it>. In this study we aimed at engineering this vanillin cell factory towards improved productivity and thereby at developing an attractive alternative to chemical synthesis.</p> <p>Results</p> <p>Expression of a glycosyltransferase from <it>Arabidopsis thaliana </it>in the vanillin producing <it>S. cerevisiae </it>strain served to decrease product toxicity. An <it>in silico </it>metabolic engineering strategy of this vanillin glucoside producing strain was designed using a set of stoichiometric modelling tools applied to the yeast genome-scale metabolic network. Two targets (<it>PDC1 </it>and <it>GDH1</it>) were selected for experimental verification resulting in four engineered strains. Three of the mutants showed up to 1.5 fold higher vanillin β-D-glucoside yield in batch mode, while continuous culture of the <it>Δpdc1 </it>mutant showed a 2-fold productivity improvement. This mutant presented a 5-fold improvement in free vanillin production compared to the previous work on <it>de novo </it>vanillin biosynthesis in baker's yeast.</p> <p>Conclusion</p> <p>Use of constraints corresponding to different physiological states was found to greatly influence the target predictions given minimization of metabolic adjustment (MOMA) as biological objective function. <it>In vivo </it>verification of the targets, selected based on their predicted metabolic adjustment, successfully led to overproducing strains. Overall, we propose and demonstrate a framework for <it>in silico </it>design and target selection for improving microbial cell factories.</p

Efeitos imediatos de uma postura de Stretching Global Ativo na força e na flexibilidade

info:eu-repo/semantics/publishedVersio

Species-specific activity of antibacterial drug combinations

International audienceThe spread of antimicrobial resistance has become a serious public health concern, making once treatable diseases deadly again and undermining breakthrough achievements of modern medicine 1,2. Drug combinations can aid in fighting multi-drug resistant (MDR) bacterial infections, yet, are largely unexplored and rarely used in clinics. To identify general principles for antibacterial drug combinations and understand their potential, we profiled ~3,000 dose-resolved combinations of antibiotics, human-targeted drugs and food additives in 6 strains from three Gram-negative pathogens, Escherichia coli, Salmonella Typhimurium and Pseudomonas aeruginosa. Despite their phylogenetic relatedness, more than 70% of the detected drug-drug interactions are species-specific and 20% display strain specificity, revealing a large potential for narrow-spectrum therapies. Overall, antagonisms are more common than synergies and occur almost exclusively between drugs targeting different cellular processes, whereas synergies are more conserved and enriched in drugs targeting the same process. We elucidate mechanisms underlying this dichotomy and further use our resource to dissect the interactions of the food additive, vanillin. Finally, we demonstrate that several synergies are effective against MDR clinical isolates in vitro and during Galleria mellonella infections with one reverting resistance to the last-resort antibiotic, colistin

Impact of stoichiometry representation on simulation of genotype-phenotype relationships in metabolic networks.

<div><p>Genome-scale metabolic networks provide a comprehensive structural framework for modeling genotype-phenotype relationships through flux simulations. The solution space for the metabolic flux state of the cell is typically very large and optimization-based approaches are often necessary for predicting the active metabolic state under specific environmental conditions. The objective function to be used in such optimization algorithms is directly linked with the biological hypothesis underlying the model and therefore it is one of the most relevant parameters for successful modeling. Although linear combination of selected fluxes is widely used for formulating metabolic objective functions, we show that the resulting optimization problem is sensitive towards stoichiometry representation of the metabolic network. This undesirable sensitivity leads to different simulation results when using numerically different but biochemically equivalent stoichiometry representations and thereby makes biological interpretation intrinsically subjective and ambiguous. We hereby propose a new method, Minimization of Metabolites Balance (MiMBl), which decouples the artifacts of stoichiometry representation from the formulation of the desired objective functions, by casting objective functions using metabolite turnovers rather than fluxes. By simulating perturbed metabolic networks, we demonstrate that the use of stoichiometry representation independent algorithms is fundamental for unambiguously linking modeling results with biological interpretation. For example, MiMBl allowed us to expand the scope of metabolic modeling in elucidating the mechanistic basis of several genetic interactions in <em>Saccharomyces cerevisiae</em>.</p> </div

Formulation of different biological objective functions using MiMBl.

*<p><b>Note:</b> Biomass production within metabolic models is typically represented as a single reaction accounting for all the biomass constitutes. Therefore, FBA and MiMBl are equivalent for maximizing biomass.</p