(New) Bulgarian Enlighteners and Ambassadors? The Reinvention of National Identity in Times of Crisis

Drawing on empirical data from 37 Bulgarian students and young professionals in the UK, this article explores the intersection of the discourses produced by the European crises and migrants' national identity. In Bulgaria, the crisis narrative is embedded in the arguably never‐ending democratic transition, manifested in socio‐economic instability and political volatility. Simultaneously, “Brexit Britain” is enveloped in strong Eurosceptic sentiments, propelled by a combination of austerity measures and intensified Eastern European migratory flows. Both contexts subject Bulgarian migrants to stigmatizing representations. Looking at migrants' everyday practices, the data reveals that young Bulgarians draw on the related ideas of the “new” Enlightener and Ambassador to counterbalance negative discourses. Thus, the article explores the meanings and significance attributed to the Enlighteners and the Ambassadors, arguing that the participants engage in “social creativity” and “individual mobility” strategies that lead to reinvention of national identity

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Up close and real: living and learning in a remote community builds students’ cultural capabilities and understanding of health disparities

Abstract Background Rural and remote communities in Australia fare worse than their urban counterparts across major health indicators, with geographic isolation, restricted accessibility to health services, socioeconomic disadvantage, lifestyle and behavioural factors all implicated in poorer health outcomes. Health disparities, which are especially stark in Australian Aboriginal and Torres Strait Islander populations, underscore the urgent need to build a culturally responsive and respectful rural health workforce. Allied health student placements in settings with high Aboriginal populations provide opportunities for the development of cultural capabilities and observation of the causes and impact of health disparities. A service learning pedagogy underpinned by strong campus-community partnerships can contribute to effective situated learning. Positive placement experiences can also encourage future rural practice alleviating workforce shortages. This article reports on the first stage of a proposed longitudinal investigation into the impact of remote placements on clinical practice and employment choices. Methods In-depth interviews were undertaken with health science students and recent graduates from Australian universities who spent up to 4 weeks at the remote community of Mt. Magnet (Badimaya country) in Western Australia. Interviews, which occurred between two and 12 months following the placement were recorded, transcribed and thematically analysed for patterns of meaning. Results Factors which contributed to positive professional, personal and socially responsive learning experiences were identified. These included pre-placement cultural training to build understanding of the local Aboriginal community, peer support, community engagement, cultural exchanges and interprofessional collaboration. Highlights were associated with relationship-building in the community and opportunities to apply insights into Aboriginal cultural ways to clinical and community practice. The role of the Aboriginal mentor was integral to students’ understanding of the social and cultural dynamics in the practice setting. Challenges related to the logistics of supervision in remote locations and workloads. Conclusions The interprofessional placement offered students a unique opportunity to experience how isolation, socioeconomic disadvantage and cultural factors conspire to produce health inequities in remote Australian settings and to observe how communities respond to their circumstances. Despite difficulties encountered, learnings derived from the application of clinical, social and interprofessional skills, and rural employment opportunities that arose following graduation, were all highly valued

Development of a robotic and computer vision method to assess foam quality in sparkling wines

Quality assessment of food products and beverages might be performed by the human senses of smell, taste, sound and touch. Likewise, sparkling wines and carbonated beverages are fundamentally assessed by sensory evaluation. Computer vision is an emerging technique that has been applied in the food industry to objectively assist quality and process control. However, publications describing the application of this novel technology to carbonated beverages are scarce, as the methodology requires tailored techniques to address the presence of carbonation and foamability. Here we present a robotic pourer (FIZZeyeRobot), which normalizes the variability of foam and bubble development during pouring into a vessel. It is coupled with video capture to assess several parameters of foam quality, including foamability (the ability of the foam to form) drainability (the ability of the foam to resist drainage) and bubble count and allometry. The foam parameters investigated were analyzed in combination to the wines scores, chemical parameters obtained from laboratory analysis and manual measurements for validation purposes. Results showed that higher quality scores from trained panelists were positively correlated with foam stability and negatively correlated with the velocity of foam dissipation and the height of the collar. Significant correlations were observed between the wine quality measurements of total protein, titratable acidity, pH and foam expansion. The percentage of the wine in the foam was found to promote the formation of smaller bubbles and to reduce foamability, while drainability was negatively correlated to foam stability and positively correlated with the duration of the collar. Finally, wines were grouped according to their foam and bubble characteristics, quality scores and chemical parameters. The technique developed in this study objectively assessed foam characteristics of sparkling wines using image analysis whilst maintaining a cost-effective, fast, repeatable and reliable robotic method. Relationships between wine composition, bubble and foam parameters obtained automatically, might assist in unraveling factors contributing to wine quality and directions for further research

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press