Search

Modern aircraft heavily depend on computer systems to carry out various tasks. From managing flight surfaces and engines to processing radar and imagery data and facilitating communication with other aircraft and ground stations, computers are involved in almost every aspect of an aircraft’s operation. These computer systems, known as Integrated Modular Avionics (IMA) systems, have long life cycles that span several decades and undergo regular updates. Despite this, a significant portion of the overall life cycle costs is determined very early in the life cycle, in the concept design phase. While the early concept stage provides the best opportunity to influence the design of the system and its future costs, it is also the stage where information about the system is most limited. During this early stage, selecting a suitable IMA platform configuration must ensure sufficient resources for the intended aircraft functionalities, particularly in computing and networking capabilities. Additionally, the decisions regarding safety and security measures must align with application requirements. However, this is a complex task due to conflicting requirements, necessitating compromises, and the limited information available at this early stage. This thesis explores the analysis and generation of avionic architecture configurations during the concept stage, addressing the problem on two fronts. The first focuses on verifying whether a chosen IMA platform configuration provides sufficient resources to ensure timely communication for a specified set of avionic applications. The second centers on exploring the conceptual design space to find IMA platform configurations aligned with computing, networking, fault-tolerance, and security application needs. To contribute to the problem’s verification aspect, this thesis introduces two high-level abstractions, namely timed automata and a domain-specific model based on Unified Modelling Languages (UML), to model IMA systems at the co

Modern aircraft heavily depend on computer systems to carry out various tasks. From managing flight surfaces and engines to processing radar and imagery data and facilitating communication with other aircraft and ground stations, computers are involved in almost every aspect of an aircraft’s operation. These computer systems, known as Integrated Modular Avionics (IMA) systems, have long life cycles that span several decades and undergo regular updates. Despite this, a significant portion of the overall life cycle costs is determined very early in the life cycle, in the concept design phase. While the early concept stage provides the best opportunity to influence the design of the system and its future costs, it is also the stage where information about the system is most limited. During this early stage, selecting a suitable IMA platform configuration must ensure sufficient resources for the intended aircraft functionalities, particularly in computing and networking capabilities. Additionally, the decisions regarding safety and security measures must align with application requirements. However, this is a complex task due to conflicting requirements, necessitating compromises, and the limited information available at this early stage. This thesis explores the analysis and generation of avionic architecture configurations during the concept stage, addressing the problem on two fronts. The first focuses on verifying whether a chosen IMA platform configuration provides sufficient resources to ensure timely communication for a specified set of avionic applications. The second centers on exploring the conceptual design space to find IMA platform configurations aligned with computing, networking, fault-tolerance, and security application needs. To contribute to the problem’s verification aspect, this thesis introduces two high-level abstractions, namely timed automata and a domain-specific model based on Unified Modelling Languages (UML), to model IMA systems at the co

During the concept design of complex networked systems, concept developers have to ensure that the choice of hardware modules and the topology of the target platform will provide adequate resources to support the needs of the application. For example, future -generation aerospace systems need to consider multiple requirements, with many trade-offs, foreseeing rapid technological change and a long period for realization and service. For that purpose, we introduce NetGAP, an automated 3 -phase approach to synthesize network topologies and support the exploration and concept design of networked systems with multiple requirements including dependability, security, and performance. NetGAP represents the possible interconnections between hardware modules using a graph grammar and uses a Monte Carlo Tree Search optimization to generate candidate topologies from the grammar while aiming to satisfy the requirements. We apply the proposed approach to a synthetic version of a realistic avionics application use case. It includes 99 processes and 660 messages. The experiment shows the merits of the solution to support the early -stage exploration of alternative candidate topologies. The method vividly characterizes the topology -related trade-offs between requirements stemming from security, fault tolerance, timeliness, and the "cost'' of adding new modules or links. We also create a scaled -up version of the problem (267 processes, 1887 messages) to illustrate scalability. Finally, we discuss the flexibility of using the approach when changes in the application and its requirements occur., Funding Agencies|Sweden's Innovation Agency - Vinnova [2017-04890, 2023-01183]

Modern aircraft heavily depend on computer systems to carry out various tasks. From managing flight surfaces and engines to processing radar and imagery data and facilitating communication with other aircraft and ground stations, computers are involved in almost every aspect of an aircraft’s operation. These computer systems, known as Integrated Modular Avionics (IMA) systems, have long life cycles that span several decades and undergo regular updates. Despite this, a significant portion of the overall life cycle costs is determined very early in the life cycle, in the concept design phase. While the early concept stage provides the best opportunity to influence the design of the system and its future costs, it is also the stage where information about the system is most limited. During this early stage, selecting a suitable IMA platform configuration must ensure sufficient resources for the intended aircraft functionalities, particularly in computing and networking capabilities. Additionally, the decisions regarding safety and security measures must align with application requirements. However, this is a complex task due to conflicting requirements, necessitating compromises, and the limited information available at this early stage. This thesis explores the analysis and generation of avionic architecture configurations during the concept stage, addressing the problem on two fronts. The first focuses on verifying whether a chosen IMA platform configuration provides sufficient resources to ensure timely communication for a specified set of avionic applications. The second centers on exploring the conceptual design space to find IMA platform configurations aligned with computing, networking, fault-tolerance, and security application needs. To contribute to the problem’s verification aspect, this thesis introduces two high-level abstractions, namely timed automata and a domain-specific model based on Unified Modelling Languages (UML), to model IMA systems at the co

Este artigo propõe uma análise de notícias e artigos de opinião sobre o filme Coringa (2019), do diretor e roteirista Todd Phillips, publicados em três veículos de comunicação digitais brasileiros (Folha de São Paulo, Revista Carta Capital e Jornal Nexo) com a finalidade de constatar se produções jornalísticas mais humanizadas colaboram para o fomento do debate que envolve a saúde mental, baseadas na hipótese do agendamento, em que conteúdos noticiosos se tornam o roteiro entre conversações diárias. Para tal, o trabalho utiliza a metodologia da análise de conteúdo, deliberada pela autora Laurence Bardin, e das técnicas da documentação indireta, isto é, de acordo com pesquisas documentais e bibliográficas, com a análise de dados qualitativos. Após a análise, constatou-se que produções jornalísticas, que se utilizam textos opinativos e informativos, amparados em dados com profundidade de informações e alguns até mesmo com uma escrita subjetiva para a abordagem de temáticas sociais, ajudam a construir opiniões mais humanizadas., This article proposes an analysis of news and opinion articles about the film Joker (2019), by director and screenwriter Todd Phillips, published in three Brazilian digital media outlets (Folha de São Paulo, Revista Carta Capital and Jornal Nexo) with the purpose to see whether more humanized journalistic productions contribute to fostering the debate surrounding mental health, based on the scheduling hypothesis, in which news content becomes the script between daily conversations. To this end, the work uses the methodology of content analysis, deliberate by the author Laurence Bardin, and indirect documentation techniques, that is, according to documentary and bibliographical research, with the analysis of qualitative data. After the analysis, it was found that journalistic productions, which use opinionated and informative texts, supported by data with depth of information and some even with subjective writing to address social issues, help to construct more humanized opinions., Este artículo propone un análisis de noticias y artículos de opinión sobre la película Joker (2019), del director y guionista Todd Phillips, publicados en tres medios digitales brasileños (Folha de São Paulo, Revista Carta Capital y Jornal Nexo) con el objetivo de ver si producciones periodísticas más humanizadas contribuyen a fomentar el debate en torno a la salud mental, a partir de la hipótesis de la programación, en la que los contenidos informativos se convierten en el guión entre las conversaciones cotidianas. Para ello, el trabajo utiliza la metodología de análisis de contenido, propuesta por el autor Laurence Bardin, y técnicas de documentación indirecta, es decir, según investigación documental y bibliográfica, con el análisis de datos cualitativos. Luego del análisis, se constató que las producciones periodísticas, que utilizan textos opinativos e informativos, sustentados en datos con profundidad informativa y algunas incluso con escritura subjetiva para abordar cuestiones sociales, ayudan a construir opiniones más humanizadas.

Este artigo propõe uma análise de notícias e artigos de opinião sobre o filme Coringa (2019), do diretor e roteirista Todd Phillips, publicados em três veículos de comunicação digitais brasileiros (Folha de São Paulo, Revista Carta Capital e Jornal Nexo) com a finalidade de constatar se produções jornalísticas mais humanizadas colaboram para o fomento do debate que envolve a saúde mental, baseadas na hipótese do agendamento, em que conteúdos noticiosos se tornam o roteiro entre conversações diárias. Para tal, o trabalho utiliza a metodologia da análise de conteúdo, deliberada pela autora Laurence Bardin, e das técnicas da documentação indireta, isto é, de acordo com pesquisas documentais e bibliográficas, com a análise de dados qualitativos. Após a análise, constatou-se que produções jornalísticas, que se utilizam textos opinativos e informativos, amparados em dados com profundidade de informações e alguns até mesmo com uma escrita subjetiva para a abordagem de temáticas sociais, ajudam a construir opiniões mais humanizadas., This article proposes an analysis of news and opinion articles about the film Joker (2019), by director and screenwriter Todd Phillips, published in three Brazilian digital media outlets (Folha de São Paulo, Revista Carta Capital and Jornal Nexo) with the purpose to see whether more humanized journalistic productions contribute to fostering the debate surrounding mental health, based on the scheduling hypothesis, in which news content becomes the script between daily conversations. To this end, the work uses the methodology of content analysis, deliberate by the author Laurence Bardin, and indirect documentation techniques, that is, according to documentary and bibliographical research, with the analysis of qualitative data. After the analysis, it was found that journalistic productions, which use opinionated and informative texts, supported by data with depth of information and some even with subjective writing to address social issues, help to construct more humanized opinions., Este artículo propone un análisis de noticias y artículos de opinión sobre la película Joker (2019), del director y guionista Todd Phillips, publicados en tres medios digitales brasileños (Folha de São Paulo, Revista Carta Capital y Jornal Nexo) con el objetivo de ver si producciones periodísticas más humanizadas contribuyen a fomentar el debate en torno a la salud mental, a partir de la hipótesis de la programación, en la que los contenidos informativos se convierten en el guión entre las conversaciones cotidianas. Para ello, el trabajo utiliza la metodología de análisis de contenido, propuesta por el autor Laurence Bardin, y técnicas de documentación indirecta, es decir, según investigación documental y bibliográfica, con el análisis de datos cualitativos. Luego del análisis, se constató que las producciones periodísticas, que utilizan textos opinativos e informativos, sustentados en datos con profundidad informativa y algunas incluso con escritura subjetiva para abordar cuestiones sociales, ayudan a construir opiniones más humanizadas.

Inhibition of K-RAS effectors like B-RAF or MEK1/2 is accompanied by treatment resistance in cancer patients via re-activation of PI3K and Wnt signaling. We hypothesized that myotubularin-related-protein-7 (MTMR7), which inhibits PI3K and ERK1/2 signaling downstream of RAS, directly targets RAS and thereby prevents resistance. Using cell and structural biology combined with animal studies, we show that MTMR7 binds and inhibits RAS at cellular membranes. Overexpression of MTMR7 reduced RAS GTPase activities and protein levels, ERK1/2 phosphorylation, c-FOS transcription and cancer cell proliferation in vitro. We located the RAS-inhibitory activity of MTMR7 to its charged coiled coil (CC) region and demonstrate direct interaction with the gastrointestinal cancer-relevant K-RASG12V mutant, favouring its GDP-bound state. In mouse models of gastric and intestinal cancer, a cell-permeable MTMR7-CC mimicry peptide decreased tumour growth, Ki67 proliferation index and ERK1/2 nuclear positivity. Thus, MTMR7 mimicry peptide(s) could provide a novel strategy for targeting mutant K-RAS in cancers., Inhibition of K-RAS effectors like B-RAF or MEK1/2 is accompanied by treatment resistance in cancer patients via re-activation of PI3K and Wnt signaling. We hypothesized that myotubularin-related-protein-7 (MTMR7), which inhibits PI3K and ERK1/2 signaling downstream of RAS, directly targets RAS and thereby prevents resistance. Using cell and structural biology combined with animal studies, we show that MTMR7 binds and inhibits RAS at cellular membranes. Overexpression of MTMR7 reduced RAS GTPase activities and protein levels, ERK1/2 phosphorylation, c-FOS transcription and cancer cell proliferation in vitro. We located the RAS-inhibitory activity of MTMR7 to its charged coiled coil (CC) region and demonstrate direct interaction with the gastrointestinal cancer-relevant K-RASG12V mutant, favouring its GDP-bound state. In mouse models of gastric and intestinal cancer, a cell-permeable MTMR7-CC mimicry peptide decreased tumour growth, Ki67 proliferation index and ERK1/2 nuclear positivity. Thus, MTMR7 mimicry peptide(s) could provide a novel strategy for targeting mutant K-RAS in cancers.

Inhibition of K-RAS effectors like B-RAF or MEK1/2 is accompanied by treatment resistance in cancer patients via re-activation of PI3K and Wnt signaling. We hypothesized that myotubularin-related-protein-7 (MTMR7), which inhibits PI3K and ERK1/2 signaling downstream of RAS, directly targets RAS and thereby prevents resistance. Using cell and structural biology combined with animal studies, we show that MTMR7 binds and inhibits RAS at cellular membranes. Overexpression of MTMR7 reduced RAS GTPase activities and protein levels, ERK1/2 phosphorylation, c-FOS transcription and cancer cell proliferation in vitro. We located the RAS-inhibitory activity of MTMR7 to its charged coiled coil (CC) region and demonstrate direct interaction with the gastrointestinal cancer-relevant K-RASG12V mutant, favouring its GDP-bound state. In mouse models of gastric and intestinal cancer, a cell-permeable MTMR7-CC mimicry peptide decreased tumour growth, Ki67 proliferation index and ERK1/2 nuclear positivity. Thus, MTMR7 mimicry peptide(s) could provide a novel strategy for targeting mutant K-RAS in cancers., Inhibition of K-RAS effectors like B-RAF or MEK1/2 is accompanied by treatment resistance in cancer patients via re-activation of PI3K and Wnt signaling. We hypothesized that myotubularin-related-protein-7 (MTMR7), which inhibits PI3K and ERK1/2 signaling downstream of RAS, directly targets RAS and thereby prevents resistance. Using cell and structural biology combined with animal studies, we show that MTMR7 binds and inhibits RAS at cellular membranes. Overexpression of MTMR7 reduced RAS GTPase activities and protein levels, ERK1/2 phosphorylation, c-FOS transcription and cancer cell proliferation in vitro. We located the RAS-inhibitory activity of MTMR7 to its charged coiled coil (CC) region and demonstrate direct interaction with the gastrointestinal cancer-relevant K-RASG12V mutant, favouring its GDP-bound state. In mouse models of gastric and intestinal cancer, a cell-permeable MTMR7-CC mimicry peptide decreased tumour growth, Ki67 proliferation index and ERK1/2 nuclear positivity. Thus, MTMR7 mimicry peptide(s) could provide a novel strategy for targeting mutant K-RAS in cancers.

BackgroundThe aim of this multicentre prospective observational study was to identify the incidence, patient characteristics, diagnostic pathway, management and outcome of acute mesenteric ischaemia (AMI).MethodsAll adult patients with clinical suspicion of AMI admitted or transferred to 32 participating hospitals from 06.06.2022 to 05.04.2023 were included. Participants who were subsequently shown not to have AMI or had localized intestinal gangrene due to strangulating bowel obstruction had only baseline and outcome data collected.ResultsAMI occurred in 0.038% of adult admissions in participating acute care hospitals worldwide. From a total of 705 included patients, 418 patients had confirmed AMI. In 69% AMI was the primary reason for admission, while in 31% AMI occurred after having been admitted with another diagnosis. Median time from onset of symptoms to hospital admission in patients admitted due to AMI was 24 h (interquartile range 9-48h) and time from admission to diagnosis was 6h (1-12 h). Occlusive arterial AMI was diagnosed in 231 (55.3%), venous in 73 (17.5%), non-occlusive (NOMI) in 55 (13.2%), other type in 11 (2.6%) and the subtype could not be classified in 48 (11.5%) patients. Surgery was the initial management in 242 (58%) patients, of which 59 (24.4%) underwent revascularization. Endovascular revascularization alone was carried out in 54 (13%), conservative treatment in 76 (18%) and palliative care in 46 (11%) patients. From patients with occlusive arterial AMI, revascularization was undertaken in 104 (45%), with 40 (38%) of them in one site admitting selected patients. Overall in-hospital and 90-day mortality of AMI was 49% and 53.3%, respectively, and among subtypes was lowest for venous AMI (13.7% and 16.4%) and highest for NOMI (72.7% and 74.5%). There was a high variability between participating sites for most variables studied.ConclusionsThe overall incidence of AMI and AMI subtypes varies worldwide, and case ascertainment is challenging. P

We introduce for non-uniform messages a novel hybrid universal network coding cryptosystem (NU-HUNCC) in the finite blocklength regime that provides Post-Quantum (PQ) security at high communication rates. Recently, hybrid cryptosystems offered PQ security by premixing the data using secure coding schemes and encrypting only a small portion of it, assuming the data is uniformly distributed. An assumption that is often challenging to enforce. Standard fixed-length lossless source coding and compression schemes guarantee a uniform output in normalized divergence. Yet, his is not sufficient to guarantee security. We consider an efficient almost uniform compression scheme in non-normalized variational distance for the proposed hybrid cryptosystem, that by utilizing uniform sub-linear shared seed, guarantees PQ security. Specifically, for the proposed PQ cryptosystem, first, we provide an end-to-end coding scheme, NU-HUNCC, for non-uniform messages. Second, we show that NU-HUNCC is information-theoretic individually secured (IS) against an eavesdropper with access to any subset of the links. Third, we introduce a modified security definition, individually semantically secure under a chosen ciphertext attack (ISS-CCA1), and show that against an all-observing eavesdropper, NU-HUNCC satisfies its conditions. Finally, we provide an analysis that shows the high communication rate of NU-HUNCC and the negligibility of the shared seed size.

Heterostructures in nanoparticles challenge our common understanding of interfaces due to quantum confinement and size effects, giving rise to synergistic properties. An alternating heterostructure in which multiple and reoccurring interfaces appear in a single nanocrystal is hypothesized to accentuate such properties. We present a colloidal synthesis for perovskite layered heterostructure nanoparticles with a (PbBr2)2(AMTP)2PbBr4 composition. By varying the synthetic parameters, such as synthesis temperature, solvent, and selection of precursors, we control particle size, shape, and product priority. The structures are validated by X-ray and electron diffraction techniques. The heterostructure nanoparticles’ main optical feature is a broad emission peak, showing the same range of wavelengths compared to the bulk sample.

The construction industry has been evolving, embracing the delicate balance between the Fourth Industry Revolution and sustainable construction to create a sustainable and resilient built environment. Integrating digital tools and technologies in a renowned conventional construction industry is challenging, mainly due to the complex interaction between heterogeneous but heuristic construction processes, building systems, and workflows in achieving a common goal. This study took the initiative to review digital tool adoption and its role in the sustainable built environment by examining the impact of digital adoption in a sustainable built environment in terms of societal and industry impacts. A quantitative analysis is conducted, collecting 63 industry practitioners analysed through regression analysis. The result reveals that energy conservation is the most significant element in the sustainable built environment, which brought the greatest impact on both society and industry in Malaysia. Based on the results, it is found that the digital adoption level in the Malaysian construction industry is still at a minimal level. Through the introduction of Indutry4wrd, National 4IR and Construction 4.0 Strategic Plan (2021–2025), the importance of digital tools and technologies is slowly being acknowledged. The result of the study is significant to benchmark the current digital tools adoption in the Malaysian sustainable built environment. Moreover

Integrating research and teaching in a meaningful manner is a challenge. With the growing number of students in universities and the rapid advances and innovations across many fields and technologies, the one-on-one mentor relationship seems utopia. However, increasing demands for inquiry-competent problem-solvers and the expanding integrative nature of science require a rethinking of teaching styles. Using the intrinsically disordered proteins (IDPs) as an instrument for research-integrating teaching, we have developed a teaching platform, which provides research opportunities for both students and researchers. The unpredictable and dynamic, but technically manageable character of IDPs offers an opportunity for open- ended processes of inquiry that are key to both learning and research. Organizing a course around a dynamic scientific field allowed the students to take active part in exploring and developing knowledge about scientific problems of interest to academia and industries. These experiences of exploring IDPs offer concrete ideas on how to organize courses in ways that integrate research and teaching.

Integrating research and teaching in a meaningful manner is a challenge. With the growing number of students in universities and the rapid advances and innovations across many fields and technologies, the one-on-one mentor relationship seems utopia. However, increasing demands for inquiry-competent problem-solvers and the expanding integrative nature of science require a rethinking of teaching styles. Using the intrinsically disordered proteins (IDPs) as an instrument for research-integrating teaching, we have developed a teaching platform, which provides research opportunities for both students and researchers. The unpredictable and dynamic, but technically manageable character of IDPs offers an opportunity for open- ended processes of inquiry that are key to both learning and research. Organizing a course around a dynamic scientific field allowed the students to take active part in exploring and developing knowledge about scientific problems of interest to academia and industries. These experiences of exploring IDPs offer concrete ideas on how to organize courses in ways that integrate research and teaching.

BackgroundLiveborn infants with non-mosaic trisomy 22 are rarely described in the medical literature. Reported lifespan of these patients ranges from minutes to 3 years, with the absence of cardiac anomalies associated with longer-term survival. The landscape for offering cardiac surgery to patients with rare autosomal trisomies is currently evolving, as has been demonstrated recently in trisomies 13 and 18. However, limited available data on patients with rare autosomal trisomies provides a significant challenge in perinatal counseling, especially when there are options for surgical intervention.Case presentationIn this case report, we describe an infant born at term with prenatally diagnosed apparently non-mosaic trisomy 22 and multiple cardiac anomalies, including a double outlet right ventricle, hypoplastic aortic valve and severe aortic arch hypoplasia, who underwent cardiac surgery. The decisions made by her family lending to her progress and survival to this day were made with a focus on the shared decision making model and support in the prenatal and perinatal period. We also review the published data on survival and quality of life after cardiac surgery in infants with rare trisomies.ConclusionsThis patient is the only known case of apparently non-mosaic trisomy 22 in the literature who has undergone cardiac surgery with significant survival benefit. This case highlights the impact of using a shared decision making model when there is prognostic uncertainty.

The bright star lambda Ser hosts a hot Neptune with a minimum mass of 13.6 M & OPLUS; and a 15.5 day orbit. It also appears to be a solar analog, with a mean rotation period of 25.8 days and surface differential rotation very similar to the Sun. We aim to characterize the fundamental properties of this system and constrain the evolutionary pathway that led to its present configuration. We detect solar-like oscillations in time series photometry from the Transiting Exoplanet Survey Satellite, and we derive precise asteroseismic properties from detailed modeling. We obtain new spectropolarimetric data, and we use them to reconstruct the large-scale magnetic field morphology. We reanalyze the complete time series of chromospheric activity measurements from the Mount Wilson Observatory, and we present new X-ray and ultraviolet observations from the Chandra and Hubble space telescopes. Finally, we use the updated observational constraints to assess the rotational history of the star and estimate the wind braking torque. We conclude that the remaining uncertainty on the stellar age currently prevents an unambiguous interpretation of the properties of lambda Ser, and that the rate of angular momentum loss appears to be higher than for other stars with a similar Rossby number. Future asteroseismic observations may help to improve the precision of the stellar age.

Item does not contain fulltext, We report the results of the COVID Moonshot, a fully open-science, crowdsourced, and structure-enabled drug discovery campaign targeting the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease. We discovered a noncovalent, nonpeptidic inhibitor scaffold with lead-like properties that is differentiated from current main protease inhibitors. Our approach leveraged crowdsourcing, machine learning, exascale molecular simulations, and high-throughput structural biology and chemistry. We generated a detailed map of the structural plasticity of the SARS-CoV-2 main protease, extensive structure-activity relationships for multiple chemotypes, and a wealth of biochemical activity data. All compound designs (>18,000 designs), crystallographic data (>490 ligand-bound x-ray structures), assay data (>10,000 measurements), and synthesized molecules (>2400 compounds) for this campaign were shared rapidly and openly, creating a rich, open, and intellectual property-free knowledge base for future anticoronavirus drug discovery.

This article examines the mobility patterns in East-West movement within Europe and challenges the prevailing perception that migration is an act of agency while staying put is seen as having a lack of agency. It argues that staying put can also involve extensive strategies and should be recognised as an active choice. The article utilises Bourdieu's three types of capital (economic, social and cultural) to understand the strategies employed in both staying put and successful migration. It suggests that individuals can compensate for the absence of one type of capital by leveraging another type; however, it also suggests that, in order to understand mobility space between CEE and Nordic countries, the presence of formalised welfare provision in Nordic countries is an important aspect. The focus of the article is on single mothers, who are considered to be one of the most vulnerable groups in Central and Eastern European societies. Based on 25 interviews with Estonian single mothers, the article suggests that migration often occurs due to a lack of alternative options.

From a young age, Betye Saar collected objects as a form of ritual, to hone their energy and activate their spirit. To protect and potentialize them. Today’s episode explores ritual as a methodology for healing and power. From the ritualization of Betye Saar’s installation sites to the reclamation of the Black body by Krista Franklin we follow and deconstruct the Brookes Ship., https://www.librarystack.org/rituals-of-transformation-betye-saar-and-black-feminist-art/?ref=unknown

UNITE (https://unite.ut.ee) is a web-based database and sequence management environment for molecular identification of eukaryotes. It targets the nuclear ribosomal internal transcribed spacer (ITS) region and offers nearly 10 million such sequences for reference. These are clustered into ∼2.4M species hypotheses (SHs), each assigned a unique digital object identifier (DOI) to promote unambiguous referencing across studies. UNITE users have contributed over 600 000 third-party sequence annotations, which are shared with a range of databases and other community resources. Recent improvements facilitate the detection of cross-kingdom biological associations and the integration of undescribed groups of organisms into everyday biological pursuits. Serving as a digital twin for eukaryotic biodiversity and communities worldwide, the latest release of UNITE offers improved avenues for biodiversity discovery, precise taxonomic communication and integration of biological knowledge across platforms.

The bright star lambda Ser hosts a hot Neptune with a minimum mass of 13.6 M & OPLUS; and a 15.5 day orbit. It also appears to be a solar analog, with a mean rotation period of 25.8 days and surface differential rotation very similar to the Sun. We aim to characterize the fundamental properties of this system and constrain the evolutionary pathway that led to its present configuration. We detect solar-like oscillations in time series photometry from the Transiting Exoplanet Survey Satellite, and we derive precise asteroseismic properties from detailed modeling. We obtain new spectropolarimetric data, and we use them to reconstruct the large-scale magnetic field morphology. We reanalyze the complete time series of chromospheric activity measurements from the Mount Wilson Observatory, and we present new X-ray and ultraviolet observations from the Chandra and Hubble space telescopes. Finally, we use the updated observational constraints to assess the rotational history of the star and estimate the wind braking torque. We conclude that the remaining uncertainty on the stellar age currently prevents an unambiguous interpretation of the properties of lambda Ser, and that the rate of angular momentum loss appears to be higher than for other stars with a similar Rossby number. Future asteroseismic observations may help to improve the precision of the stellar age.

Novel species of fungi described in this study include those from various countries as follows: Australia, Aschersonia mackerrasiae on whitefly, Cladosporium corticola on bark of Melaleuca quinquenervia, Penicillium nudgee from soil under Melaleuca quinquenervia, Pseudocercospora blackwoodiae on leaf spot of Persoonia falcata, and Pseudocercospora dalyelliae on leaf spot of Senna alata. Bolivia, Aspicilia lutzoniana on fully submersed siliceous schist in high-mountain streams, and Niesslia parviseta on the lower part and apothecial discs of Erioderma barbellatum onatwig. Brazil, Cyathus bonsai on decaying wood, Geastrum albofibrosum from moist soil with leaf litter, Laetiporus pratigiensis on a trunk of a living unknown hardwood tree species, and Scytalidium synnematicum on dead twigs of unidentified plant. Bulgaria, Amanita abscondita on sandy soil in a plantation of Quercus suber. Canada, Penicillium acericola on dead bark of Acer saccharum, and Penicillium corticola on dead bark of Acer saccharum. China, Colletotrichum qingyuanense on fruit lesion of Capsicum annuum. Denmark, Helminthosphaeria leptospora on corticioid Neohypochnicium cremicolor. Ecuador (Galapagos), Phaeosphaeria scalesiae on Scalesia sp. Finland, Inocybe jacobssonii on calcareouss oils in dry forests and park habitats. France, Cortinarius rufomyrrheus on sandy soil under Pinus pinaster, and Periconia neominutissima on leaves of Poaceae. India, Coprinopsis fragilis on decaying bark of logs, Filoboletus keralensis on unidentified woody substrate, Penicillium sankaranii from soil, Physisporinus tamilnaduensis on the trunk of Azadirachta indica, and Poronia nagaraholensis on elephant dung. Iran, Neosetophoma fic on infected leaves of Ficus elastica. Israel, Cnidariophoma eilatica (incl. Cnidariophoma gen. nov.) from Stylophora pistillata. Italy, Lyophyllum obscurum on acidic soil. Namibia, Aureobasidium faidherbiae on dead leaf of Faidherbia albida, and Aureobasidium welwitschiae on dead leaves of W

Novel species of fungi described in this study include those from various countries.

The bright star $\lambda$ Ser hosts a hot Neptune with a minimum mass of 13.6 $M_\oplus$ and a 15.5 day orbit. It also appears to be a solar analog, with a mean rotation period of 25.8 days and surface differential rotation very similar to the Sun. We aim to characterize the fundamental properties of this system, and to constrain the evolutionary pathway that led to its present configuration. We detect solar-like oscillations in time series photometry from the Transiting Exoplanet Survey Satellite (TESS), and we derive precise asteroseismic properties from detailed modeling. We obtain new spectropolarimetric data, and we use them to reconstruct the large-scale magnetic field morphology. We reanalyze the complete time series of chromospheric activity measurements from the Mount Wilson Observatory, and we present new X-ray and ultraviolet observations from the Chandra and Hubble space telescopes. Finally, we use the updated observational constraints to assess the rotational history of the star and to estimate the wind braking torque. We conclude that the remaining uncertainty on stellar age currently prevents an unambiguous interpretation of the properties of $\lambda$ Ser, and that the rate of angular momentum loss appears to be higher than for other stars with similar Rossby number. Future asteroseismic observations may help to improve the precision of the stellar age., Comment: 19 pages including 9 figures and 6 tables. Astronomical Journal, accepted

An $\alpha\Omega$ dynamo, combining shear and cyclonic convection in the tachocline, is believed to generate the solar cycle. However, this model cannot explain cycles in fast rotators (with minimal shear) or in fully convective stars (no tachocline); analysis of such stars could therefore provide key insights into how these cycles work. We reexamine ASAS data for 15 M dwarfs, 11 of which are presumed fully convective; the addition of newer ASAS-SN data confirms cycles in roughly a dozen of them, while presenting new or revised rotation periods for five. The amplitudes and periods of these cycles follow $A_{\rm cyc} \propto P_{\rm cyc}^{0.94 \pm 0.11}$, with $P_{\rm cyc}/P_{\rm rot} \propto {\rm Ro}^{-1.02 \pm 0.06}$ (where Ro is the Rossby number), very similar to $P_{\rm cyc}/P_{\rm rot} \propto {\rm Ro}^{-0.81 \pm 0.17}$ that we find for 40 previously studied FGK stars, although $P_{\rm cyc}/P_{\rm rot}$ and $\alpha$ are a factor of $\sim$20 smaller in the M stars. The very different $P_{\rm cyc}/P_{\rm rot}$-Ro relationship seen here compared to previous work suggests that two types of dynamo, with opposite Ro dependences, operate in cool stars. Initially, a (likely $\alpha^2$ or $\alpha^2\Omega$) dynamo operates throughout the convective zone in mid-late M and fast rotating FGK stars, but once magnetic breaking decouples the core and convective envelope, a tachocline $\alpha\Omega$ dynamo begins and eventually dominates in older FGK stars. A change in $\alpha$ in the tachocline dynamo generates the fundamentally different $P_{\rm cyc}/P_{\rm rot}$-Ro relationship., Comment: 26 pages, 18 figures, submitted to ApJ. Figure sets will be available in the final print

Novel species of fungi described in this study include those from various countries as follows: Australia, Aschersonia mackerrasiae on whitefly, Cladosporium corticola on bark of Melaleuca quinquenervia, Penicillium nudgee from soil under Melaleuca quinquenervia, Pseudocercospora blackwoodiae on leaf spot of Persoonia falcata, and Pseudocercospora dalyelliae on leaf spot of Senna alata. Bolivia, Aspicilia lutzoniana on fully submersed siliceous schist in high-mountain streams, and Niesslia parviseta on the lower part and apothecial discs of Erioderma barbellatum onatwig. Brazil, Cyathus bonsai on decaying wood, Geastrum albofibrosum from moist soil with leaf litter, Laetiporus pratigiensis on a trunk of a living unknown hardwood tree species, and Scytalidium synnematicum on dead twigs of unidentified plant. Bulgaria, Amanita abscondita on sandy soil in a plantation of Quercus suber. Canada, Penicillium acericola on dead bark of Acer saccharum, and Penicillium corticola on dead bark of Acer saccharum. China, Colletotrichum qingyuanense on fruit lesion of Capsicum annuum. Denmark, Helminthosphaeria leptospora on corticioid Neohypochnicium cremicolor. Ecuador (Galapagos), Phaeosphaeria scalesiae on Scalesia sp. Finland, Inocybe jacobssonii on calcareouss oils in dry forests and park habitats. France, Cortinarius rufomyrrheus on sandy soil under Pinus pinaster, and Periconia neominutissima on leaves of Poaceae. India, Coprinopsis fragilis on decaying bark of logs, Filoboletus keralensis on unidentified woody substrate, Penicillium sankaranii from soil, Physisporinus tamilnaduensis on the trunk of Azadirachta indica, and Poronia nagaraholensis on elephant dung. Iran, Neosetophoma fic on infected leaves of Ficus elastica. Israel, Cnidariophoma eilatica (incl. Cnidariophoma gen. nov.) from Stylophora pistillata. Italy, Lyophyllum obscurum on acidic soil. Namibia, Aureobasidium faidherbiae on dead leaf of Faidherbia albida, and Aureobasidium welwitschiae on dead leaves of W

This is an obituary on Wolfgang Bartuschat (May 13, 1938 – August 10, 2022), an eminent Spinoza scholar at Universität Hamburg. As an interpreter, Bartuschat emphasized the human and individual perspective in Spinoza’s metaphysical and political thought. Bartuschat will also be remembered as an excellent translator and editor.

A central challenge of materials discovery for improved technologies arises from the increasing compositional, processing, and structural complexity involved when synthesizing hitherto unexplored material systems. Traditional Edisonian and combinatorial high-throughput methods have not been able to keep up with the exponential growth in potential materials and relevant property metrics. Autonomously operated Self-Driving Labs (SDLs) - guided by the optimal experiment design sub-field of machine learning, known as active learning - have arisen as promising candidates for intelligently searching these high-dimensional search spaces. In the fields of biology, pharmacology, and chemistry, these SDLs have allowed for expedited experimental discovery of new drugs, catalysts, and more. However, in material science, highly specialized workflows and bespoke robotics have limited the impact of SDLs and contributed to their exorbitant costs. In order to equip the next generation workforce of scientists and advanced manufacturers with the skills needed to coexist with, improve, and understand the benefits and limitations of these autonomous systems, a low-cost and modular SDL must be available to them. This thesis describes the development of such a system and its implementation in an undergraduate and graduate machine learning for materials science course. The low-cost SDL system developed is shown to be affordable for primary through graduate level adoption, and provides a hands-on method for simultaneously teaching active learning, robotics, measurement science, programming, and teamwork: all necessary skills for an autonomous compatible workforce. A novel hypothesis generation and validation active learning scheme is also demonstrated in the discovery of simple composition/acidity relationships.

Human-AI complementarity is important when neither the algorithm nor the human yields dominant performance across all instances in a given context. Recent work that explored human-AI collaboration has considered decisions that correspond to classification tasks. However, in many important contexts where humans can benefit from AI complementarity, humans undertake course of action. In this paper, we propose a framework for a novel human-AI collaboration for selecting advantageous course of action, which we refer to as Learning Complementary Policy for Human-AI teams (\textsc{lcp-hai}). Our solution aims to exploit the human-AI complementarity to maximize decision rewards by learning both an algorithmic policy that aims to complement humans by a routing model that defers decisions to either a human or the AI to leverage the resulting complementarity. We then extend our approach to leverage opportunities and mitigate risks that arise in important contexts in practice: 1) when a team is composed of multiple humans with differential and potentially complementary abilities, 2) when the observational data includes consistent deterministic actions, and 3) when the covariate distribution of future decisions differ from that in the historical data. We demonstrate the effectiveness of our proposed methods using data on real human responses and semi-synthetic, and find that our methods offer reliable and advantageous performance across setting, and that it is superior to when either the algorithm or the AI make decisions on their own. We also find that the extensions we propose effectively improve the robustness of the human-AI collaboration performance in the presence of different challenging settings., Comment: Previous name: Robust Human-AI Collaboration with Bandit Feedback; Best student paper award at Conference on Information Systems and Technology (CIST), 2022

Over the last few years, there has been an increasing interest in the transparency of computational models, in particular systems that are referred to as ‘black-box models’. These types of models, usually conceived through machine learning methodologies such as deep neural networks, have been a breakthrough of science able to perform myriad tasks that were previously thought to be the prerogative of human capability. Such advancements have already been implemented in nearly every facet of life, ranging from small-scale personalised song recommendations to international crime identification efforts. Although artificial intelligence has arguably improved much, its employment has not been without risk or consequence. Perhaps fuelled by reports of scandals resulting from embedded bias and an increasing need for privacy, worries about the feasibility and reliability of black-box methods have grown, particularly in the context of the opacity of the model. In addition to the societal need for transparency and checks-and-balances, the introduction of the General Data Protection Directive as well as the impending AI Act have created a legal need to improve clarity on the transparency requirements for artificial intelligence. An important aspect of this transparency is a model’s explainability. It should be clear whether a model is explainable, whether an explanation is required from the model and what such an explanation may look like. Though there has been an expanding body of academic work on explainability for artificial intelligence, little has been written about how an explanation can be defined in this context with respect to both legal and technological requirements, and how well current explainability methods adhere to this definition. This thesis sets out to create a novel, layered definition of explanations with respect to artificial intelligence and the General Data Protection Directive, and set this definition out against current popular post-hoc explainability m

Background: In partial nephrectomy for highly complex tumors with expected long ischemia time, renal hypothermia can be used to minimize ischemic parenchymal damage. Objective: To describe our case series, surgical technique, and early outcomes for robot-assisted partial nephrectomy (RAPN) using intra-arterial cold perfusion through arteriotomy. Design, setting, and participants: A retrospective analysis was conducted of ten patients with renal tumors (PADUA score 9–13) undergoing RAPN between March 2020 and March 2023 with intra-arterial cooling because of expected arterial clamping times longer than 25 min. Surgical procedure: Multiport transperitoneal RAPN with full renal mobilization and arterial, venous, and ureteral clamping was performed. After arteriotomy and venotomy, 4°C heparinized saline is administered intravascular through a Fogarty catheter to maintain renal hypothermia while performing RAPN. Measurements: Demographic data, renal function, console and ischemia times, surgical margin status, hospital stay, estimated blood loss, and complications were analyzed. Results and limitations: The median warm and cold ischemia times were 4 min (interquartile range [IQR] 3–7 min) and 60 min (IQR 33–75 min), respectively. The median rewarming ischemia time was 10.5 min (IQR 6.5–23.75 min). The median pre- and postoperative estimated glomerular filtration rate values at least 1 mo after surgery were 90 ml/min (IQR 78.35–90 ml/min) and 86.9 ml/min (IQR 62.08–90 ml/min), respectively. Limitations include small cohort size and short median follow-up (13 [IQR 9.1–32.4] mo). Conclusions: We demonstrate the feasibility and first case series for RAPN using intra-arterial renal hypothermia through arteriotomy. This approach broadens the scope for minimal invasive nephron-sparing surgery in highly complex renal masses. Patient summary: We demonstrate a minimally invasive surgical technique that reduces kidney infarction during complex kidney tumor removal where surrounding, SCOPUS: ar.j, info:eu-repo/semantics/published

The temporal analysis of stellar activity evolution is usually dominated by a complex trade-off between model complexity and interpretability, often by neglecting the non-stationary nature of the process. Recent studies appear to indicate that the presence of multiple coexisting cycles in a single star is more common than previously thought. The correct identification of physically meaningful cyclic components in spectroscopic time series is therefore a crucial task, which cannot overlook local behaviors. Here we propose a decomposition technique which adaptively recovers amplitude- and frequency-varying components. We present our results for the solar activity as measured both by the sunspot number and the $K$-line emission index, and we consistently recover the Schwabe and Gleissberg cycles as well as the Gnevyshev-Ohl pattern probably related to the Hale cycle. We also recover the known 8-year cycle for 61 Cygni A, in addition to evidence of a three-cycles long pattern reminiscent of the Gnevyshev-Ohl rule. This is particularly interesting as we cannot discard the possibility of a relationship between the measured field polarity reversals and this Hale-like periodicity., Comment: 8 pages, 3 figures

Novel species of fungi described in this study include those from various countries as follows: Australia, Aschersonia mackerrasiae on whitefly, Cladosporium corticola on bark of Melaleuca quinquenervia, Penicillium nudgee from soil under Melaleuca quinquenervia, Pseudocercospora blackwoodiae on leaf spot of Persoonia falcata, and Pseudocercospora dalyelliae on leaf spot of Senna alata. Bolivia, Aspicilia lutzoniana on fully submersed siliceous schist in high-mountain streams, and Niesslia parviseta on the lower part and apothecial discs of Erioderma barbellatum onatwig. Brazil, Cyathus bonsai on decaying wood, Geastrum albofibrosum from moist soil with leaf litter, Laetiporus pratigiensis on a trunk of a living unknown hardwood tree species, and Scytalidium synnematicum on dead twigs of unidentified plant. Bulgaria, Amanita abscondita on sandy soil in a plantation of Quercus suber. Canada, Penicillium acericola on dead bark of Acer saccharum, and Penicillium corticola on dead bark of Acer saccharum. China, Colletotrichum qingyuanense on fruit lesion of Capsicum annuum. Denmark, Helminthosphaeria leptospora on corticioid Neohypochnicium cremicolor. Ecuador (Galapagos), Phaeosphaeria scalesiae on Scalesia sp. Finland, Inocybe jacobssonii on calcareouss oils in dry forests and park habitats. France, Cortinarius rufomyrrheus on sandy soil under Pinus pinaster, and Periconia neominutissima on leaves of Poaceae. India, Coprinopsis fragilis on decaying bark of logs, Filoboletus keralensis on unidentified woody substrate, Penicillium sankaranii from soil, Physisporinus tamilnaduensis on the trunk of Azadirachta indica, and Poronia nagaraholensis on elephant dung. Iran, Neosetophoma fic on infected leaves of Ficus elastica. Israel, Cnidariophoma eilatica (incl. Cnidariophoma gen. nov.) from Stylophora pistillata. Italy, Lyophyllum obscurum on acidic soil. Namibia, Aureobasidium faidherbiae on dead leaf of Faidherbia albida, and Aureobasidium welwitschiae on dead leaves o

Novel species of fungi described in this study include those from various countries as follows: Australia, Aschersonia mackerrasiae on whitefly, Cladosporium corticola on bark of Melaleuca quinquenervia, Penicillium nudgee from soil under Melaleuca quinquenervia, Pseudocercospora blackwoodiae on leaf spot of Persoonia falcata, and Pseudocercospora dalyelliae on leaf spot of Senna alata. Bolivia, Aspicilia lutzoniana on fully submersed siliceous schist in high-mountain streams, and Niesslia parviseta on the lower part and apothecial discs of Erioderma barbellatum onatwig. Brazil, Cyathus bonsai on decaying wood, Geastrum albofibrosum from moist soil with leaf litter, Laetiporus pratigiensis on a trunk of a living unknown hardwood tree species, and Scytalidium synnematicum on dead twigs of unidentified plant. Bulgaria, Amanita abscondita on sandy soil in a plantation of Quercus suber. Canada, Penicillium acericola on dead bark of Acer saccharum, and Penicillium corticola on dead bark of Acer saccharum. China, Colletotrichum qingyuanense on fruit lesion of Capsicum annuum. Denmark, Helminthosphaeria leptospora on corticioid Neohypochnicium cremicolor. Ecuador (Galapagos), Phaeosphaeria scalesiae on Scalesia sp. Finland, Inocybe jacobssonii on calcareouss oils in dry forests and park habitats. France, Cortinarius rufomyrrheus on sandy soil under Pinus pinaster, and Periconia neominutissima on leaves of Poaceae. India, Coprinopsis fragilis on decaying bark of logs, Filoboletus keralensis on unidentified woody substrate, Penicillium sankaranii from soil, Physisporinus tamilnaduensis on the trunk of Azadirachta indica, and Poronia nagaraholensis on elephant dung. Iran, Neosetophoma fic on infected leaves of Ficus elastica. Israel, Cnidariophoma eilatica (incl. Cnidariophoma gen. nov.) from Stylophora pistillata. Italy, Lyophyllum obscurum on acidic soil. Namibia, Aureobasidium faidherbiae on dead leaf of Faidherbia albida, and Aureobasidium welwitschiae on dead leaves o

Problem Definition. Increasing costs of healthcare highlight the importance of effective disease prevention. However, decision models for allocating preventive care are lacking. Methodology/Results. In this paper, we develop a data-driven decision model for determining a cost-effective allocation of preventive treatments to patients at risk. Specifically, we combine counterfactual inference, machine learning, and optimization techniques to build a scalable decision model that can exploit high-dimensional medical data, such as the data found in modern electronic health records. Our decision model is evaluated based on electronic health records from 89,191 prediabetic patients. We compare the allocation of preventive treatments (metformin) prescribed by our data-driven decision model with that of current practice. We find that if our approach is applied to the U.S. population, it can yield annual savings of $1.1 billion. Finally, we analyze the cost-effectiveness under varying budget levels. Managerial Implications. Our work supports decision-making in health management, with the goal of achieving effective disease prevention at lower costs. Importantly, our decision model is generic and can thus be used for effective allocation of preventive care for other preventable diseases., Comment: Accepted by Manufacturing & Service Operations Management

Growing concerns regarding algorithmic fairness have led to a surge in methodologies to mitigate algorithmic bias. However, such methodologies largely assume that observed labels in training data are correct. This is problematic because bias in labels is pervasive across important domains, including healthcare, hiring, and content moderation. In particular, human-generated labels are prone to encoding societal biases. While the presence of labeling bias has been discussed conceptually, there is a lack of methodologies to address this problem. We propose a pruning method -- Decoupled Confident Learning (DeCoLe) -- specifically designed to mitigate label bias. After illustrating its performance on a synthetic dataset, we apply DeCoLe in the context of hate speech detection, where label bias has been recognized as an important challenge, and show that it successfully identifies biased labels and outperforms competing approaches., Comment: AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA. 2023

During the concept design of complex networked systems, concept developers have to ensure that the choice of hardware modules and the topology of the target platform will provide adequate resources to support the needs of the application. For example, future-generation aerospace systems need to consider multiple requirements, with many trade-offs, foreseeing rapid technological change and a long period for realization and service. For that purpose, we introduce NetGAP, an automated 3-phase approach to synthesize network topologies and support the exploration and concept design of networked systems with multiple requirements including dependability, security, and performance. NetGAP represents the possible interconnections between hardware modules using a graph grammar and uses a Monte Carlo Tree Search optimization to generate candidate topologies from the grammar while aiming to satisfy the requirements. We apply the proposed approach to a synthetic version of a realistic avionics application use case. It includes 99 processes and 660 messages. The experiment shows the merits of the solution to support the early-stage exploration of alternative candidate topologies. The method vividly characterizes the topology-related trade-offs between requirements stemming from security, fault tolerance, timeliness, and the "cost" of adding new modules or links. We also create a scaled-up version of the problem (267 processes, 1887 messages) to illustrate scalability. Finally, we discuss the flexibility of using the approach when changes in the application and its requirements occur.

We investigated the influence of framed norm messages about food consumption on motivation to consume, and actual consumption of, healthy and unhealthy foods. We proposed that the effects of positive and negative message frames would vary by the type of underlying norms (i.e., injunctive, descriptive). More specifically, based on information processing theories, it was expected that injunctive norms would be more effective when framed negatively compared with positively, while the opposite was expected for descriptive norms. In both experiments, participants were randomly assigned to one of four framed social norm conditions or a no-norm control condition. In experiment 1, motivation to consume healthy and unhealthy foods was assessed by means of both indirect and self-report measures. In experiment 2, actual food consumption was assessed. In both experiments, the predicted interaction was found. Results show that injunctive norms benefit from a negative (vs. Positive) frame, while preliminary evidence suggests the opposite for descriptive norms.

Introduction: Quality in medical care must be measured in order to be improved. Trauma management is part of health care, and by definition, it must be checked constantly. The only way to measure quality and outcomes is to systematically accrue data and analyze them. Material and methods: A systematic revision of the literature about quality indicators in trauma associated to an international consensus conference Results: An internationally approved base core set of 82 trauma quality indicators was obtained: Indicators were divided into 6 fields: prevention, structure, process, outcome, post-traumatic management, and society integrational effects. Conclusion: Present trauma quality indicator core set represents the result of an international effort aiming to provide a useful tool in quality evaluation and improvement. Further improvement may only be possible through international trauma registry development. This will allow for huge international data accrual permitting to evaluate results and compare outcomes.

This article makes the case for using the concept of lifestyle migration to understand return migration. The key argument is that there are several advantages for engaging with lifestyle migration literature when analysing people's return, of which the prime reason is to draw attention away from the affective and emotional aspects of return migration and view it as a conscious decision related to future planning. A combination of statistical data and interviews with highly skilled Estonian migrants in the UK shows how the return of these migrants is often related to moving from one life stage to another. In the conscious process of planning for a family, several aspects related to both countries were evaluated and the return was often explained as benefitting the (potential) family. The article also claims that there is a need for lifestyle migration research to engage more actively on interlinkages between lifestyle and life stage.

This article makes the case for using the concept of lifestyle migration to understand return migration. The key argument is that there are several advantages for engaging with lifestyle migration literature when analysing people's return, of which the prime reason is to draw attention away from the affective and emotional aspects of return migration and view it as a conscious decision related to future planning. A combination of statistical data and interviews with highly skilled Estonian migrants in the UK shows how the return of these migrants is often related to moving from one life stage to another. In the conscious process of planning for a family, several aspects related to both countries were evaluated and the return was often explained as benefitting the (potential) family. The article also claims that there is a need for lifestyle migration research to engage more actively on interlinkages between lifestyle and life stage.