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Victorian Network, Vol. 7 (2016): Victorian Brain

Background: There were approximately 63,097 known asylum seekers in England in 2002 (Heath et aL 2003). Women asylum seekers may be more seriously affected by displacement than men, leading to increased isolation, poverty, hostility and racism (Burnett and Peel, 2001a). In England, Black African including asylum seekers and newly arrived refugees had a seven times greater chance of maternal modality than White women (CEMACH, 2004 p244). Furthermore, women from ethnic groups other than white are twice as likely to die as women in the white group. In the CEMACH report a large number of women who died spoke little English. Access to local information about asylum seekers and refugees was difficult to obtain and suggested a disorganised service provision for this group of women.\ud \ud Aim: It was the intention of this study to explore and synthesise the experience of midwifery care by women asylum seekers and refugees in one large maternity unit in England.\ud \ud Design: Longitudinal exploratory case study research utilising a series of interviews.\ud \ud Sample: Four women from: Afghanistan, Rwanda, Somalia and Zaire. Three women were asylum seekers and one was a refugee. One woman spoke fluent English.\ud \ud Setting: Liverpool Women's Hospital and the women's homes.\ud \ud Years: The study took place from December 2002 - July 2003.\ud \ud Methodology: The research was developed from a constructionist paradigm which identifies that multiple realities can exist for individuals who experience 10 a similar phenomenon. Truth within this perspective is constructed by the individual. The researcher (LB) was the main instrument of data collection. Interpretation was generated via the researcher and was verified by the women at the final interview. The underpinning foundation for this study emerged as symbolic interaction theory (Mead, cited in Morris, 1967 p43; Blumer, 1969).\ud \ud Methods: Following ethical approval consent was obtained with the help of professional interpreters. Exploration was facilitated by in-depth interviews at five time points throughout the antenatal and postnatal period. Photographs taken by the women themselves were used as a prompt for conversation.\ud \ud Analysis: The researcher's interpretation of the data identified emerging themes and categories. The process of analysis involved decontextualisation, display, data complication and re-conceptualisation (Miles and Huberman, 1994 p10). Three key themes were generated: the influence of social policy, understanding in practice and the perception of 'self.\ud \ud Results: Synthesis of the results suggested that social policy directly affected the lives of the women. At times, "taken for granted" communication created a barrier to understanding for the women. Stereotype was socially constructed and pervaded the care environment. The women perceived 'self as a response to social interaction. The midwife-woman relationship relied heavily on gestures and symbols and the women's descriptions are related to symbolic interaction theory. Midwives capable of understanding the subtle cues in communication may be able to negotiate negative stereotypical images generated by society. Women had little or no information around childbirth.\ud \ud Recommendations: Midwifery care would benefit from a deeper understanding of how the women in this study perceived 'self. An advisory post may provide the link between maternity care and broader public health issues. Midwives should engage with asylum seekers and refugees to develop partnerships in care. A collaborative partnership may assist in creating relevant information around childbirth for other asylum seekers and refugees. Innovative methods of dissemination of information related to childbirth should be facilitated by a collaborative approach with non-governmental and community organisations.

This article argues that the time is ripe to reacquaint sociology and surrealism. Taking inspiration from surrealism’s emphasis on making the ordinary strange through bizarre, lively and sometimes haunting methods might result in a more poetic and playful sociology. The article looks at how this might be applied in practice through drawing on a variety of examples of social research that share some of the tenets of surrealism, not least the latter’s focus on social justice. This enables discussion of a number of methodological concerns stemming from feminist and post-structuralist thought, including the troubling of narrative coherency and the notion of “voice.” Infusing sociology with “a surrealist spirit” requires opening up and moving away from rationality in ways that allow for the exploration of contradictions, irreverence, humor, and paradox.

INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2014 evaluation campaign, which consisted of three tracks: The Interactive Social Book Search Track investigated user information seeking behavior when interacting with various sources of information, for realistic task scenarios, and how the user interface impacts search and the search experience. The Social Book Search Track investigated the relative value of authoritative metadata and user-generated content for search and recommendation using a test collection with data from Amazon and LibraryThing, including user profiles and personal catalogues. The Tweet Contextualization Track investigated tweet contextualization, helping a user to understand a tweet by providing him with a short background summary generated from relevant Wikipedia passages aggregated into a coherent summary. INEX 2014 was an exciting year for INEX in which we for the third time ran our workshop as part of the CLEF labs. This paper gives an overview of all the INEX 2014 tracks, their aims and task, the built test-collections, the participants, and gives an initial analysis of the results.

Made available in DSpace on 2021-06-25T11:01:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 Objectives: To gain insight into children’s health-related knowledge and understanding of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and COVID-19, and measures adopted to mitigate transmission. Design: A child-centred qualitative creative element embedded in an online mixed-methods survey of children aged 7–12 years. Setting: Children participated in the study in six countries – the UK, Australia, Sweden, Brazil, Spain and Canada. Method: A qualitative creative component, embedded in an online survey, prompted children to draw and label a picture. Children were recruited via their parents using the researchers’ professional social media accounts, through known contacts, media and websites from health organisations within each country. Analysis of the form and content of the children’s pictures took place. Results: A total of 128 children (mean age 9.2 years) submitted either a hand-drawn (n = 111) or digitally created (n = 17) picture. Four main themes were identified which related to children’s health-related knowledge of (1) COVID-19 and how it is transmitted; (2) measures and actions to mitigate transmission; (3) places of safety during the pandemic; and (4) children’s role in mitigating COVID-19 transmission. Conclusion: Children’s pictures indicated a good understanding of the virus, how it spreads and how to mitigate transmission. Children depicted their actions during the pandemic as protecting themselves, their families and wider society. Faculty of Health Social Care Medicine Edge Hill University Keele Medical School Keele University Sant Joan de Déu Research Institute Esplugues de Llobregat Department of Nursing Botucatu Medical School UNESP – São Paulo State University Department of Nursing Umeå University School of Nursing University of Tasmania Département des sciences infirmières Université du Québec en Outaouais Institute of Health and Care Sciences Centre for Person-Centred Care Sahlgrenska Academy University of Gothenburg Queen Silvia Children’s Hospital Department of Nursing Botucatu Medical School UNESP – São Paulo State University

Publisher Copyright: IEEE DNA methylation is an epigenetic marker, that plays an important role in the biological processes of regulating gene expression, maintaining chromatin structure, imprinting genes, inactivating X chromosomes, and developing embryos. The traditional detection method is time-consuming. Currently, researchers have used effective computational methods to improve the efficiency of methylation detection. This study proposes a fuzzy model with correntropy induced loss (C-loss) function to identify DNA N4-methylcytosine (4mC) sites. To improve the robustness and performance of the model, we use kernel method and the C-loss function to build a higher-order fuzzy inference system (HFIS). To test performance, our model is implemented on six 4mC and eight UCI data sets. The experimental results show that our model achieves better prediction performance.

publication dans une revue suite à la communication hal-03467479 (SHREC 2021: surface-based protein domains retrieval); International audience; Proteins are essential to nearly all cellular mechanism and the effectors of the cells activities. As such, they often interact through their surface with other proteins or other cellular ligands such as ions or organic molecules. The evolution generates plenty of different proteins, with unique abilities, but also proteins with related functions hence similar 3D surface properties (shape, physico-chemical properties, …). The protein surfaces are therefore of primary importance for their activity. In the present work, we assess the ability of different methods to detect such similarities based on the geometry of the protein surfaces (described as 3D meshes), using either their shape only, or their shape and the electrostatic potential (a biologically relevant property of proteins surface). Five different groups participated in this contest using the shape-only dataset, and one group extended its pre-existing method to handle the electrostatic potential. Our comparative study reveals both the ability of the methods to detect related proteins and their difficulties to distinguish between highly related proteins. Our study allows also to analyze the putative influence of electrostatic information in addition to the one of protein shapes alone. Finally, the discussion permits to expose the results with respect to ones obtained in the previous contests for the extended method. The source codes of each presented method have been made available online.

Funder: Max-Planck-Gesellschaft; doi: http://dx.doi.org/10.13039/501100004189, Funder: Max Planck Institute for the Science of Human History (2), The cooling and drying associated with the so-called '8.2 ka event' have long been hypothesized as having sweeping implications for human societies in the Early Holocene, including some of the last Mesolithic hunter-gatherers in Atlantic Europe. Nevertheless, detailed 'on-site' records with which the impacts of broader climate changes on human-relevant environments can be explored have been lacking. Here, we reconstruct sea surface temperatures (SST) from δ18O values measured on subfossil topshells Phorcus lineatus exploited by the Mesolithic human groups that lived at El Mazo cave (N Spain) between 9 and 7.4 ka. Bayesian modelling of 65 radiocarbon dates, in combination with this δ18O data, provide a high-resolution seasonal record of SST, revealing that colder SST during the 8.2 ka event led to changes in the availability of different shellfish species. Intensification in the exploitation of molluscs by humans indicates demographic growth in these Atlantic coastal settings which acted as refugia during this cold event.

Breast Radiation Therapy; Machine-Learning Prediction; Acute Desquamation Raditeràpia de mama; Predicció d'aprenentatge automàtic; Descamació aguda Radioterapia de mama; Predicción de aprendizaje automático; Descamación aguda Purpose Some patients with breast cancer treated by surgery and radiation therapy experience clinically significant toxicity, which may adversely affect cosmesis and quality of life. There is a paucity of validated clinical prediction models for radiation toxicity. We used machine learning (ML) algorithms to develop and optimise a clinical prediction model for acute breast desquamation after whole breast external beam radiation therapy in the prospective multicenter REQUITE cohort study. Methods and Materials Using demographic and treatment-related features (m = 122) from patients (n = 2058) at 26 centers, we trained 8 ML algorithms with 10-fold cross-validation in a 50:50 random-split data set with class stratification to predict acute breast desquamation. Based on performance in the validation data set, the logistic model tree, random forest, and naïve Bayes models were taken forward to cost-sensitive learning optimisation. Results One hundred and ninety-two patients experienced acute desquamation. Resampling and cost-sensitive learning optimisation facilitated an improvement in classification performance. Based on maximising sensitivity (true positives), the “hero” model was the cost-sensitive random forest algorithm with a false-negative: false-positive misclassification penalty of 90:1 containing m = 114 predictive features. Model sensitivity and specificity were 0.77 and 0.66, respectively, with an area under the curve of 0.77 in the validation cohort. Conclusions ML algorithms with resampling and cost-sensitive learning generated clinically valid prediction models for acute desquamation using patient demographic and treatment features. Further external validation and inclusion of genomic markers in ML prediction models are worthwhile, to identify patients at increased risk of toxicity who may benefit from supportive intervention or even a change in treatment plan.

Publisher Copyright: IEEE Recently, unsupervised cross-dataset person reidentification (Re-ID) has attracted more and more attention, which aims to transfer knowledge of a labeled source domain to an unlabeled target domain. There are two common frameworks: one is pixel-alignment of transferring low-level knowledge, and the other is feature-alignment of transferring high-level knowledge. In this article, we propose a novel recurrent autoencoder (RAE) framework to unify these two kinds of methods and inherit their merits. Specifically, the proposed RAE includes three modules, i.e., a feature-transfer (FT) module, a pixel-transfer (PT) module, and a fusion module. The FT module utilizes an encoder to map source and target images to a shared feature space. In the space, not only features are identity-discriminative but also the gap between source and target features is reduced. The PT module takes a decoder to reconstruct original images with its features. Here, we hope that the images reconstructed from target features are in the sourcestyle. Thus, the low-level knowledge can be propagated to the target domain. After transferring both high- and low-level knowledge with the two proposed modules above, we design another bilinear pooling layer to fuse both kinds of knowledge. Extensive experiments on Market-1501, DukeMTMC-ReID, and MSMT17 datasets show that our method significantly outperforms either pixel-alignment or feature-alignment Re-ID methods and achieves new state-of-the-art results.

openaire: EC/H2020/101016775/EU//INTERVENE Funding Information: This study is supported by the Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 20JG030), the Special Construction Fund for Key Disciplines of Shaanxi Provincial Higher Education. This study was supported by the Academy of Finland (grants 336033 and 315896), Business Finland (grant 884/31/2018), and EU H2020 (grant 101016775). Publisher Copyright: © 2021 Wiley Periodicals LLC As a common mental disorder, depression has attracted many researchers from affective computing field to estimate the depression severity. However, existing approaches based on Deep Learning (DL) are mainly focused on single facial image without considering the sequence information for predicting the depression scale. In this paper, an integrated framework, termed DepNet, for automatic diagnosis of depression that adopts facial images sequence from videos is proposed. Specifically, several pretrained models are adopted to represent the low-level features, and Feature Aggregation Module is proposed to capture the high-level characteristic information for depression analysis. More importantly, the discriminative characteristic of depression on faces can be mined to assist the clinicians to diagnose the severity of the depressed subjects. Multiscale experiments carried out on AVEC2013 and AVEC2014 databases have shown the excellent performance of the intelligent approach. The root mean-square error between the predicted values and the Beck Depression Inventory-II scores is 9.17 and 9.01 on the two databases, respectively, which are lower than those of the state-of-the-art video-based depression recognition methods.

Made available in DSpace on 2022-04-29T08:33:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 This study aimed to understand the role that parents play in sharing or limiting their child’s access to information about coronavirus disease 2019 (COVID-19). A subset of data from an international mixed methods online survey study was analysed to elucidate the findings from Brazil. An online survey, conducted between April and June 2020, gathered closed and open text views from parents of children aged 7–12 years old. Quantitative data were analysed using descriptive statistics. Qualitative open text data were analysed using the three stages of the Bardin content analysis framework: pre-analysis (data organisation and initial full-content reading); exploration of the material (thematic coding to identify major motifs and develop thematic categories) and interpretation (treating the data as significant and valid). The sample consisted of 112 (89%) mothers and 14 (11%) fathers. The analysis of the parents open text resulted in two categories: ‘How parents share information with their children about COVID-19’ and ‘How parents limit information to their children about COVID-19’. Some parents reported adopting an honest and open approach on how they shared information with their children, whilst some parents chose to minimise their child’s access to information about the pandemic over concerns of the mortality related to COVID-19. Department of Nursing Botucatu Medical School São Paulo State University–UNESP Faculty of Health Social Care and Medicine Edge Hill University Keele Medical School Faculty of Medicine and Health Sciences Keele University Department of Nursing Botucatu Medical School São Paulo State University–UNESP

Made available in DSpace on 2022-04-28T19:44:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-09-02 The amount of carbon stored in deadwood is equivalent to about 8 per cent of the global forest carbon stocks1. The decomposition of deadwood is largely governed by climate2–5 with decomposer groups—such as microorganisms and insects—contributing to variations in the decomposition rates2,6,7. At the global scale, the contribution of insects to the decomposition of deadwood and carbon release remains poorly understood7. Here we present a field experiment of wood decomposition across 55 forest sites and 6 continents. We find that the deadwood decomposition rates increase with temperature, and the strongest temperature effect is found at high precipitation levels. Precipitation affects the decomposition rates negatively at low temperatures and positively at high temperatures. As a net effect—including the direct consumption by insects and indirect effects through interactions with microorganisms—insects accelerate the decomposition in tropical forests (3.9% median mass loss per year). In temperate and boreal forests, we find weak positive and negative effects with a median mass loss of 0.9 per cent and −0.1 per cent per year, respectively. Furthermore, we apply the experimentally derived decomposition function to a global map of deadwood carbon synthesized from empirical and remote-sensing data, obtaining an estimate of 10.9 ± 3.2 petagram of carbon per year released from deadwood globally, with 93 per cent originating from tropical forests. Globally, the net effect of insects may account for 29 per cent of the carbon flux from deadwood, which suggests a functional importance of insects in the decomposition of deadwood and the carbon cycle. Ecosystem Dynamics and Forest Management Group School of Life Sciences Technical University of Munich Berchtesgaden National Park Epidemiology Biostatistics and Prevention Institute University of Zurich Southern Research Station USDA Forest Service Field Station Fabrikschleichach University of Würzburg Biological Sciences University of Toronto Scarborough Fenner School of Environment and Society The Australian National University Department of Biogeography University of Bayreuth Department of Disturbance Ecology University of Bayreuth Instituto de Ecología Regional CONICET-Universidad Nacional de Tucumán Department of Animal Ecology and Tropical Biology University of Würzburg Laboratory of Environmental Microbiology Institute of Microbiology The Czech Academy of Sciences Agricultural and Natural Resources Research Centre of Mazandaran Lancaster Environment Centre Lancaster University Universidade Federal de Lavras Department of Biodiversity Conservation Goethe-University Frankfurt Bavarian Forest National Park CIRAD UMR Ecologie des Forêts de Guyane (EcoFoG) AgroParisTech CNRS INRA Universite des Antilles Universite de Guyane Environmental Change Institute University of Oxford Grassland Vegetation Lab Federal University of Rio Grande do Sul Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Institute of Ecology and Botany Centre for Ecological Research Institute for Wildlife Management and Nature Conservation Hungarian University of Agriculture and Life Sciences Animal Ecology University of Marburg École d’Ingénieurs de Purpan Université de Toulouse UMR 1201 Dynafor Ecosystem Science and Management Program University of Northern British Columbia Laboratory of Applied Ecology University of Abomey-Calavi Department of Ecology University of Granada Réserves Naturelles de France Royal Alberta Museum Conservation Ecology University of Marburg Science and Engineering Faculty Queensland University of Technology Centre for the Environment Institute for Future Environments Forest Research Institute Malaysia International Institute of Tropical Forestry USDA Forest Service Forest Entomology Swiss Federal Research Institute WSL Evolutionary Zoology University of Salzburg Natural Resources Canada Canadian Forest Service Eurofins Ahma Oy Department of Plant Systematics University of Bayreuth Department of Wildlife Fish and Environmental Studies Swedish University of Agricultural Sciences Applied Landscape Ecology Chuo University School of Forest Sciences University of Eastern Finland School of Agricultural Forest and Food Sciences Bern University of Applied Sciences CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of Botany Chinese Academy of Sciences ECNU-Alberta Joint Lab for Biodiversity Study Tiantong National Station for Forest Ecosystem Research East China Normal University Institute of Biological Sciences University of the Philippines Los Banos Department of Thermodynamics Universidad Nacional del Nordeste Tropical Forests and People Research Centre University of the Sunshine Coast Forest Ecosystem Monitoring Laboratory National University of Mongolia School of Environment and Science Griffith University School of Biological Earth and Environmental Sciences University College Cork Edge Hill University Institute of Forestry Tribhuvan University Institute of Evolution University of Haifa Scion (New Zealand Forest Research Institute) School of Forestry University of Canterbury Institute of Zoology University of Hamburg Faculté des Sciences Université d’Antananarivo Tropical Biodiversity and Social Enterprise Departamento de Ecologia Universidade Estadual Paulista Ecology Group University Erlangen-Nuremberg H. J. Andrews Experimental Forest Environmental and Conservation Sciences Murdoch University Environmental Futures Research Institute Griffith University Ashoka Trust for Research in Ecology and the Environment ARC Centre for Forest Value University of Tasmania Terrestrial Ecology Research Group School of Life Sciences Technical University of Munich EcoBank Team National Institute of Ecology College of Forestry Beijing Forestry University Departamento de Ecologia Universidade Estadual Paulista

openaire: EC/H2020/741677/EU//InSPIRES Increasingly high-profile research is being undertaken into the socio-environmental challenges associated with the over-production and consumption of food from animals. Transforming food systems to mitigate climate change and hidden hunger, ensure food security and good health all point to reducing animal-based foods as a key lever. Moving beyond animal-based food systems is a societal grand challenge requiring coordinated international research by the social sciences and humanities. A ‘selective openness’ to this range of disciplines has been observed within multi-discipline research programmes designed to address societal grand challenges including those concerned with the sustainability of food systems, inhibiting the impact of social sciences and humanities. Further, existing research on animal-based foods within these disciplines is largely dispersed and focused on particular parts of food systems. Inspired by the ‘Sutherland Method’ this paper discusses the results of an iterative research prioritisation process carried out to enhance capacity, mutual understanding and impact amongst European social sciences and humanities researchers. The process produced 15 research questions from an initial list of 100 and classified under the following five themes: (1) debating and visioning food from animals; (2) transforming agricultural spaces; (3) framing animals as food; (4) eating practices and identities; and (5) governing transitions beyond animal-based food systems. These themes provide an important means of making connections between research questions that invite and steer research on key challenges in moving beyond animal-based food systems. The themes also propose loci for future transdisciplinary research programmes that join researchers from the natural sciences, social sciences, and humanities and stakeholders from beyond academia to develop cooperative research and implementation initiatives. The experiences gained from the prioritisation process draw attention to the value of spending time to discuss and collaboratively steer research enquiry into emergent and controversial matters of concern. Fundamental, ethical questions around the continuation or complete cessation of the use of animals for food was a key tension. The positioning of research towards these questions affects not only the framing of the research area but also the partners with whom the research can be carried out and for whom it may be of benefit.

Made available in DSpace on 2021-06-25T10:53:23Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-02-01 Alder Hey Children's NHS Foundation Trust The aim of this study was to examine aspects of children's health literacy; the information sources they were accessing, their information preferences, their perceived understanding of and their reported information needs in relation to COVID-19. An online survey for children aged 7-12 years of age and parent/caregivers from the UK, Sweden, Brazil, Spain, Canada and Australia was conducted between 6th of April and the 1st of June 2020. The surveys included demographic questions and both closed and open questions focussing on access to and understanding of COVID-19 information. Descriptive statistics and qualitative content analysis procedures were conducted. The findings show that parents are the main source of information for children during the pandemic in most countries (89%, n = 347), except in Sweden where school was the main source of information. However, in many cases parents chose to shield, filter or adapt their child's access to information about COVID-19, especially in relation to the death rates within each country. Despite this, children in this study reported knowing that COVID-19 was deadly and spreads quickly. This paper argues for a community rather than individual approach to addressing children's health literacy needs during a pandemic. Faculty of Health Social Care and Medicine Edge Hill University UQO Departement de Sciences Infirmieres Botucatu Medical School - Unesp - Nursing Department Centre for Education and Research - Nursing and Midwifery Tasmanian Health Service South and University of Tasmania Sant Joan de Deu Research Foundation Department of Nursing Faculty of Medicine Umea University Institute of Health and Care Sciences Centre for Person-Centred Care Sahlgrenska Academy University of Gothenburg Department of Health Sciences Department of Learning The Swedish Red Cross University College Informatics Management and Ethics LIME Karolinska Institutet Keele Medical School Faculty of Medicine and Health Sciences Keele University Botucatu Medical School - Unesp - Nursing Department

Background In recent decades, virtual care has emerged as a promising option to support primary care delivery. However, despite the potential, adoption rates remained low. With the outbreak of COVID-19, it has suddenly been pushed to the forefront of care delivery. As we progress into the second year of the COVID-19 pandemic, there is a need and opportunity to review the impact remote care had in primary care settings and reassess its potential future role. Objective This study aims to explore the perspectives of general practitioners (GPs) and family doctors on the (1) use of virtual care during the COVID-19 pandemic, (2) perceived impact on quality and safety of care, and (3) essential factors for high-quality and sustainable use of virtual care in the future. Methods This study used an online cross-sectional questionnaire completed by GPs distributed across 20 countries. The survey was hosted in Qualtrics and distributed using email, social media, and the researchers’ personal contact networks. GPs were eligible for the survey if they were working mainly in primary care during the period of the COVID-19 pandemic. Descriptive statistical analysis will be performed for quantitative variables, and relationships between the use of virtual care and perceptions on impact on quality and safety of care and participants’ characteristics may be explored. Qualitative data (free-text responses) will be analyzed using framework analysis. Results Data collection took place from June 2020 to September 2020. As of this manuscript’s submission, a total of 1605 GP respondents participated in the questionnaire. Further data analysis is currently ongoing. Conclusions The study will provide a comprehensive overview of the availability of virtual care technologies, perceived impact on quality and safety of care, and essential factors for high-quality future use. In addition, a description of the underlying factors that influence this adoption and perceptions, in both individual GP and family doctor characteristics and the context in which they work, will be provided. While the COVID-19 pandemic may prove the first great stress test of the capabilities, capacity, and robustness of digital systems currently in use, remote care will likely remain an increasingly common approach in the future. There is an imperative to identify the main lessons from this unexpected transformation and use them to inform policy decisions and health service design. International Registered Report Identifier (IRRID) DERR1-10.2196/30099

International audience; This paper presents the methods that have participated in the SHREC'20 contest on retrieval of surface patches with similar geometric reliefs and 1 the analysis of their performance over the benchmark created for this challenge. The goal of the context is to verify the possibility of retrieving 3D models only based on the reliefs that are present on their surface and to compare methods that are suitable for this task. This problem is related to many real world applications, such as the classification of cultural heritage goods or the analysis of different materials. To address this challenge, it is necessary to characterize the local "geometric pattern" information, possibly forgetting model size and bending. Seven groups participated in this contest and twenty runs were submitted for evaluation. The performances of the methods reveal that good results are achieved with a number of techniques that use different approaches.

Our study evaluated the performance of different two-chambered microbial fuel cell (MFC) prototypes, operated with variable distance between electrodes and Nafion membrane and specific inoculum concentration, applied for vinasse treatment., Instituto de Pesquisa Tecnológica do Estado de São Paulo/Programa Novos Talentos, through individual Research Grant attributed to Cristiane Angélica Ottoni., info:eu-repo/semantics/publishedVersion

The LysRS-Ap4A axis impairs cGAS-STING pathway activation, delaying nucleic acid-driven innate immune responses., Inflammation is an essential part of immunity against pathogens and tumors but can promote disease if not tightly regulated. Self and non-self-nucleic acids can trigger inflammation, through recognition by the cyclic GMP-AMP (cGAMP) synthetase (cGAS) and subsequent activation of the stimulator of interferon genes (STING) protein. Here, we show that RNA:DNA hybrids can be detected by cGAS and that the Lysyl-tRNA synthetase (LysRS) inhibits STING activation through two complementary mechanisms. First, LysRS interacts with RNA:DNA hybrids, delaying recognition by cGAS and impeding cGAMP production. Second, RNA:DNA hybrids stimulate LysRS-dependent production of diadenosine tetraphosphate (Ap4A) that in turn attenuates STING-dependent signaling. We propose a model whereby these mechanisms cooperate to buffer STING activation. Consequently, modulation of the LysRS-Ap4A axis in vitro or in vivo interferes with inflammatory responses. Thus, altogether, we establish LysRS and Ap4A as pharmacological targets to control STING signaling and treat inflammatory diseases.

[#17491] article suite à une conférence orale: 13th EG Euroworkshop on 3D object retrieval, 3DOR 2020, Graz, Austria, september 4-5, 2020; International audience; Proteins are natural modular objects usually composed of several domains, each domain bearing a specific function that is mediated through its surface, which is accessible to vicinal molecules. This draws attention to an understudied characteristic of protein structures: surface, that is mostly unexploited by protein structure comparison methods. In the present work, we evaluated the performance of six shape comparison methods, among which three are based on machine learning, to distinguish between 588 multi-domain proteins and to recreate the evolutionary relationships at the protein and species levels of the SCOPe database. The six groups that participated in the challenge submitted a total of 15 sets of results. We observed that the performance of all the methods significantly decreases at the species level, suggesting that shape-only protein comparison is challenging for closely related proteins. Even if the dataset is limited in size (only 588 proteins are considered whereas more than 160,000 protein structures are experimentally solved), we think that this work provides useful insights into the current shape comparison methods performance, and highlights possible limitations to large-scale applications due to the computational cost. (C) 2020 The Author(s). Published by Elsevier Ltd.

The growing network density and unprecedented increase in network traffic, caused by the massively expanding number of connected devices and online services, require intelligent network operations. Machine Learning (ML) has been applied in this regard in different types of networks and networking technologies to meet the requirements of future communicating devices and services. In this article, we provide a detailed account of current research on the application of ML in communication networks and shed light on future research challenges. Research on the application of ML in communication networks is described in: i) the three layers, i.e., physical, access, and network layers; and ii) novel computing and networking concepts such as Multi-access Edge Computing (MEC), Software Defined Networking (SDN), Network Functions Virtualization (NFV), and a brief overview of ML-based network security. Important future research challenges are identified and presented to help stir further research in key areas in this direction. Funding Agencies|Business Finland; Academy of FinlandAcademy of Finland [318927]; Center for Industrial Information Technology (CENIIT); Jorma Ollila Grant

Background Scrub typhus, caused by a bacterial pathogen (Orientia spp.), is a potentially life-threatening febrile illness widely distributed in the Asia-Pacific region and is emerging elsewhere. The infection is transmitted by the larval stage of trombiculid mites (“chiggers”) that often exhibit low host specificity. Here, we present an analysis of chigger ecology for 38 species sampled from 11 provinces of Thailand and microbiomes for eight widespread species. Results In total, > 16,000 individual chiggers were collected from 1574 small mammal specimens belonging to 18 species across four horizontally-stratified habitat types. Chigger species richness was positively associated with higher latitudes, dry seasonal conditions, and host maturity; but negatively associated with increased human land use. Human scrub typhus incidence was found to be positively correlated with chigger species richness. The bacterial microbiome of chiggers was highly diverse, with Sphingobium, Mycobacterium, Neisseriaceae and various Bacillales representing the most abundant taxa. Only Leptotrombidium deliense was found to be infected with Orientia and another potential pathogen, Borrelia spp., was frequently detected in pools of this species. β-diversity, but not α-diversity, was significantly different between chigger species and geographic regions, although not between habitat types. Conclusion Our study identified several key environmental and host-derived correlates of chigger species richness across Thailand, which in turn impacted on human scrub typhus incidence. Moreover, this first extensive field survey of the chigger microbiome revealed species- and province-level variation in microbial β-diversity across the country, providing a framework for future studies on interactions between pathogens and other symbionts in these understudied vectors.

The anthraquinone dye Remazol Brilliant Blue R is largely used in the textile industry. However, its removal from wastewaters is costly and complex. Many methods have been tested to solve this ecological problem, but there is still a need for efficient methods. We propose here an alternative use of a two-chambered microbial fuel cell (MFC), fuelled with domestic wastewater in the anodic chamber, to degrade a simulated textile dye effluent made of Remazol Brilliant Blue R inoculated with an immobilised fungal strain, Pleurotus ostreatus URM 4809, as a laccase producer, in the cathodic chamber. The MFC showed continuous synthesis of laccase in the cathodic chamber, which, in turn, promoted the rapid decolourisation, of more than 86\% of the textile dye effluent. The yield was further increased by the addition of glycerol. Electrochemical monitoring also indicated an increase in power density and current density. After 20Â days of MFC operation, 62.1\\% of organic matter was removed in the anodic compartment, thus leaving the effluent with a much lower toxicity., Authors would like to acknowledge the technician and fnancial support of Programa Novos Talentos provided by the Instituto de Pesquisa Tecnológica do Estado de São Paulo (IPT) and Instituto de Estudos Avançados do Mar (IEAMar)., info:eu-repo/semantics/publishedVersion

International audience; (1) Background: Echinococcus multilocularis (Em), a highly pathogenic parasitic tapeworm, is responsible for a significant burden of human disease. In this study, optical and time-series Synthetic Aperture Radar (SAR) data is used synergistically to model key land cover characteristics driving the spatial distributions of two small mammal intermediate host species, Ellobius tancrei and Microtus gregalis, which facilitate Em transmission in a highly endemic area of Kyrgyzstan. (2) Methods: A series of land cover maps are derived from (a) single-date Landsat Operational Land Imager (OLI) imagery, (b) time-series Sentinel-1 SAR data, and (c) Landsat OLI and time-series Sentinel-1 SAR data in combination. Small mammal distributions are analyzed in relation to the surrounding land cover class coverage using random forests, before being applied predictively over broader areas. A comparison of models derived from the three land cover maps are made, assessing their potential for use in cloud-prone areas. (3) Results: Classification accuracies demonstrated the combined OLI-SAR classification to be of highest accuracy, with the single-date OLI and time-series SAR derived classifications of equivalent quality. Random forest analysis identified statistically significant positive relationships between E. tancrei density and agricultural land, and between M. gregalis density and water and bushes. Predictive application of random forest models identified hotspots of high relative density of E. tancrei and M. gregalis across the broader study area. (4) Conclusions: This offers valuable information to improve the targeting of limited-resource disease control activities to disrupt disease transmission in this area. Time-series SAR derived land cover maps are shown to be of equivalent quality to those generated from single-date optical imagery, which enables application of these methods in cloud-affected areas where, previously, this was not possible due to the sparsity of cloud-free optical imagery.

International audience; We introduce a bidirectional reflectance distribution function (BRDF) model for the rendering of materials that exhibit hazy reflections, whereby the specular reflections appear to be flanked by a surrounding halo. The focus of this work is on artistic control and ease of implementation for real-time and off-line rendering. We propose relying on a composite material based on a pair of arbitrary BRDF models; however, instead of controlling their physical parameters, we expose perceptual parameters inspired by visual experiments [VBF17]. Our main contribution then consists in a mapping from perceptual to physical parameters that ensures the resulting composite BRDF is valid in terms of reciprocity, positivity and energy conservation. The immediate benefit of our approach is to provide direct artistic control over both the intensity and extent of the haze effect, which is not only necessary for editing purposes, but also essential to vary haziness spatially over an object surface. Our solution is also simple to implement as it requires no new importance sampling strategy and relies on existing BRDF models. Such a simplicity is key to approximating the method for the editing of hazy gloss in real-time and for compositing.

BACKGROUND This study assessed gender-specific associations between body mass index (BMI) and social-emotional wellbeing (SEW) among differentially active seven-year-old children. METHODS Data are from wave four of the UK Millennium Cohort Study, collected in 2007-08. Children wore an ActiGraph accelerometer for seven consecutive days and measures of stature and body mass were taken. BMI was calculated from stature and body mass (kg/m2). Parents/carers completed the strengths and difficulties questionnaire (SDQ). A total of 6011 children (3073 girls) had completed data. Mean minutes per day spent in moderate-to-vigorous intensity physical activity (MVPA) were calculated for each child. Gender-specific MVPA quartile cut-off values categorized boys and girls separately into four graded groups representing the least (Q1) through to the most active (Q4) children. Adjusted linear regression analyses examined associations between BMI and SDQ scores. Gender-specific analyses were conducted separately for MVPA quartiles. RESULTS BMI was positively associated with peer problems for Q1 and Q2 boys and girls, conduct problems for Q2 and Q4 boys, emotional problems and prosocial behaviour for Q2 boys and total difficulty scores for Q1 girls and Q2 boys (P < 0.05). CONCLUSIONS Our results revealed that BMI was positively associated with SEW difficulties among the low active children but not the high active children. Further research examining the concurrent effect of diet and MVPA on child weight status and SEW is needed.

International audience; Forests are critical habitats for biodiversity and they are also essential for the provision of a wide range of ecosystem services that are important to human well-being. There is increasing evidence that biodiversity contributes to forest ecosystem functioning and the provision of ecosystem services. Here we provide a review of forest ecosystem services including biomass production, habitat provisioning services, pollination, seed dispersal, resistance to wind storms, fire regulation and mitigation, pest regulation of native and invading insects, carbon sequestration, and cultural ecosystem services, in relation to forest type, structure and diversity. We also consider relationships between forest biodiversity and multifunctionality, and trade-offs among ecosystem services. We compare the concepts of ecosystem processes, functions and services to clarify their definitions. Our review of published studies indicates a lack of empirical studies that establish quantitative and causal relationships between forest biodiversity and many important ecosystem services. The literature is highly skewed; studies on provisioning of nutrition and energy, and on cultural services, delivered by mixed-species forests are under-represented. Planted forests offer ample opportunity for optimising their composition and diversity because replanting after harvesting is a recurring process. Planting mixed-species forests should be given more consideration as they are likely to provide a wider range of ecosystem services within the forest and for adjacent land uses. This review also serves as the introduction to this special issue of Biodiversity and Conservation on various aspects of forest biodiversity and ecosystem services.

Textile effluents are highly polluting and have variable and complex compositions. They can be extremely complex, with high salt concentrations and alkaline pHs. A fixed-bed bioreactor was used in the present study to simulate a textile effluent treatment, where the white-rot fungus, Trametes versicolor, efficiently decolourised the azo dye Reactive Black 5 over 28 days. This occurred under high alkaline conditions, which is unusual, but advantageous, for successful decolourisation processes. Active dye decolourisation was maintained by operation in continuous culture. Colour was eliminated during the course of operation and maximum laccase (Lcc) activity (80.2 UL1) was detected after glycerol addition to the bioreactor. Lcc2 gene expression was evaluated with different carbon sources and pH values based on reverse transcriptase-PCR (polymerase chain reaction). Glycerol was shown to promote the highest lcc2 expression at pH 5.5, followed by sucrose and then glucose. The highest levels of expression occurred between three and four days, which corroborate the maximum Lcc activity observed for sucrose and glycerol on the bioreactor. These results give new insights into the use of T. versicolor in textile dye wastewater treatment with high pHs., Cledir R. Santos thanks to the Universidad de La Frontera (Temuco, Chile) for the partial funding from both the Project DIUFRO DI16-0135 and the Doctoral Programme in Science of Natural Resources. This study was also supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684) and BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by European Regional Development Fund under the scope of Norte2020—Programa Operacional Regional do Norte.

The research reported in this article was funded in part by the Natural Environment Research Council under grants: GR3/6203A - Male competition and outcrossing rate in a hermaphrodite plant. GR9/1782A – Genomic analysis of wild hybrid derivatives of Senecio squalidus x S. vulgaris using in situ hybridization. Background: It has been reported that some plants of the self-compatible species, Senecio vulgaris, produce capitula containing long-styled florets which fail to set seed when left to self-pollinate, although readily set seed when self-pollinated by hand. Aims: To determine if production of long-styled florets is associated with higher outcrossing rate in S. vulgaris, and whether long-styles occur in non-pollinated florets, whereas short-styles are present in self-pollinated florets. Methods: The frequency of long-styled florets was compared in the radiate and non-radiate variants of S. vulgaris, known to exhibit higher and lower outcrossing rates, respectively. In addition, style length was compared in emasculated florets that were either self-pollinated or left non-pollinated. Results: Long-styled florets were more frequent in the higher outcrossing radiate variant. Following emasculation, long styles occurred in non-pollinated florets, while short styles were present in self-pollinated florets. The two variants did not differ in style length within the non-pollinated or within the self-pollinated floret categories. Conclusions: A high frequency of long-styled florets is associated with higher outcrossing rate in S. vulgaris and results from delayed self-pollination and pollen germination on stigmas. Publisher PDF Publisher PDF

9 pages; International audience; Background: Variation in style length has been reported in Senecio vulgaris and has been associated with outcrossing rate.Aims: To determine if (i) long styles lack germinated pollen on stigmas left to self-pollinate, (ii) successful self-pollination causes styles to stop elongating and shrink in length and (iii) seed set increases with the amount of pollen deposited on stigmas.Methods: Determined germinated self-pollen on stigmas of long and short styles after auto-self-pollination; scored style length over 48 h in self-pollinated and non-pollinated florets; recorded seed set after placing different amounts of pollen on stigmas.Results: Most long-styled florets had zero or low amounts of germinated pollen on stigmas in contrast to most short-styled florets. Styles initially elongated to the same length in self-pollinated and non-pollinated florets, then shrank in length in self-pollinated florets while continuing to elongate in non-pollinated florets. Seed set increased with number of pollen grains deposited on stigmas.Conclusions: Successful self-pollen deposition and/or germination on stigmas of S. vulgaris are indicated by presence of short styles, whereas the opposite is indicated by presence of long styles in florets left to self-pollinate. Self-pollination causes styles to shrink after initially elongating. Seed set is dependent on the amount of pollen deposited on stigmas.

Background Aedes aegypti is a cosmopolite mosquito, vector of arboviruses. The worldwide studies of its insecticide resistance have demonstrated a strong loss of susceptibility to pyrethroids, the major class of insecticide used for vector control. French overseas territories such as French Guiana (South America), Guadeloupe islands (Lesser Antilles) as well as New Caledonia (Pacific Ocean), have encountered such resistance. Methodology/Principal Findings We initiated a research program on the pyrethroid resistance in French Guiana, Guadeloupe and New Caledonia. Aedes aegypti populations were tested for their deltamethrin resistance level then screened by an improved microarray developed to specifically study metabolic resistance mechanisms. Cytochrome P450 genes were implicated in conferring resistance. CYP6BB2, CYP6M11, CYP6N12, CYP9J9, CYP9J10 and CCE3 genes were upregulated in the resistant populations and were common to other populations at a regional scale. The implication of these genes in resistance phenomenon is therefore strongly suggested. Other genes from detoxification pathways were also differentially regulated. Screening for target site mutations on the voltage-gated sodium channel gene demonstrated the presence of I1016 and C1534. Conclusion /significance This study highlighted the presence of a common set of differentially up-regulated detoxifying genes, mainly cytochrome P450 genes in all three populations. GUA and GUY populations shared a higher number of those genes compared to CAL. Two kdr mutations well known to be associated to pyrethroid resistance were also detected in those two populations but not in CAL. Different selective pressures and genetic backgrounds can explain such differences. These results are also compared with those obtained from other parts of the world and are discussed in the context of integrative research on vector competence., Author Summary Aedes aegypti is vector of Dengue, Chikungunya and Zika viruses, all causing emerging or re-emerging diseases worldwide. Fighting these diseases relies on the control of the vector. Therefore, insecticides have been extensively used worldwide, resulting in the development of insecticide resistance. In the French overseas territories, resistance to pyrethroids has been monitored for many years with high levels in the South American French territories. We then investigated the mechanisms underlying this resistance in populations from French Guiana, Guadeloupe and New Caledonia. Transcription levels of detoxification genes were measured and alongside screening for target site mutations. Upregulation of cytochrome P450 genes and carboxylesterases were observed in all three populations. Mutations related to pyrethroid resistance in position 1016 and 1534 of the voltage-gated sodium channel gene were also observed. French Guiana and Guadeloupe populations presented a closer profile of resistance mechanisms whereas the New Caledonia population had a more restricted profile. Such differences can be explained by different vector control practices, regional insecticide uses and genetic backgrounds. These results are also compared with others obtained from other parts of the world and are discussed with the perspective of integrative research on vector competence.

Climate shifts at decadal scales can have environmental consequences, and therefore, identifying areas that act as environmental refugia is valuable in understanding future climate variability. Here we illustrate how, given appropriate geohydrology, a rift basin and its catchment can buffer vegetation response to climate signals on decadal time-scales, therefore exerting strong local environmental control. We use time-series data derived from Normalised Difference Vegetation Index (NDVI) residuals that record vegetation vigour, extracted from a decadal span of MODIS images, to demonstrate hydrogeological buffering. While this has been described previously it has never been demonstrated via remote sensing and results in relative stability in vegetation vigour inside the delta, compared to that outside. As such the Delta acts as a regional hydro-refugium. This provides insight, not only to the potential impact of future climate in the region, but also demonstrates why similar basins are attractive to fauna, including our ancestors, in regions like eastern Africa. Although vertebrate evolution operates on time scales longer than decades, the sensitivity of rift wetlands to climate change has been stressed by some authors, and this work demonstrates another example of the unique properties that such basins can afford, given the right hydrological conditions.

National audience; Table ronde animée Benaouda Lebdaï, avec la participation de Michelle Ryan-Sautour et Ailsa Cox autour du thème "Se déclarer librement auteures ? Quelles postures, quelles stratégies d’écriture ?", dans le cadre de la journée d'étudesDes femmes en littérature : la voix, le jeu et le genre de l'axe Voix de femmes du projet GeDi, organisée le 16 juin 2015 à la Maison des Sciences Humaines de l'Université d'Angers.

peer-reviewed Background: Schools have been identified as important settings for health promotion through physical activity participation, particularly as children are insufficiently active for health. The aim of this study was to investigate the child and school-level influences on children0s physical activity levels and sedentary time during school hours in a sample of children from a low-income community; Methods: One hundred and eighty-six children (110 boys) aged 9–10 years wore accelerometers for 7 days, with 169 meeting the inclusion criteria of 16 h day􀀀1 for a minimum of three week days. Multilevel prediction models were constructed to identify significant predictors of sedentary time, light, and moderate to vigorous physical activity during school hour segments. Child-level predictors (sex, weight status, maturity offset, cardiorespiratory fitness, physical activity self-efficacy, physical activity enjoyment) and school-level predictors (number on roll, playground area, provision score) were entered into the models; Results: Maturity offset, fitness, weight status, waist circumference-to-height ratio, sedentary time, moderate to vigorous physical activity, number of children on roll and playground area significantly predicted physical activity and sedentary time; Conclusions: Research should move towards considering context-specific physical activity and its correlates to better inform intervention strategies.

Table ronde What We Learn When We Teach the Short Story animée par Susan Lohafer (University of Iowa), coordinatrice de la programmation scientifique de la conférence, avec la participation de Michelle Ryan-Sautour (CRILA, Université d'Angers), de Moira Crone, auteure américaine, de Ailsa Cox (Edge Hill University) et de Robert Luscher (University of Nebraska at Kearney), dans le cadre de la 12th International Conference on the Short Story in English organisée du 27 au 30 juin 2012 à North Little Rock, Arkansas aux Etats-Unis, autour du thème Short Story Traditions: Bridges to Modernity and Beyond.; International audience

Multi-component school-based interventions provide physical activity (PA) opportunities for children but are often difficult for schools to execute and may not be implemented as intended. The primary aim of this study was to explore the acceptability and feasibility of three brief single-component primary school PA interventions targeting 9–10-year-old children. The secondary aim was to examine the effectiveness of the interventions on increasing PA levels and reducing sedentary time. The single-component interventions included active classroom breaks (AB, 3 schools, n = 119 children) Born to Move (BTM) exercise videos (2 schools, n = 50 children), and playground supervisory staff training (2 schools, n = 56 children). Qualitative data from participating children (n = 211), class teachers (n = 6), and playground supervisory staff (n = 8) explored the experiences, acceptability, and feasibility of each intervention component. Accelerometers were worn by 225 children during the last week of implementation. Teachers reported that they were able to implement ABs daily, but BTM videos were more difficult to implement daily because of accessing sufficient space. Playground staff reported difficulties in implementing activities due to children’s age and competing responsibilities on the staffs’ time. Children reported that the ABs and BTM videos were enjoyable. During half hour time windows, including the ABs and BTM videos, children engaged in 4.8 min and 8.6 min of moderate to vigorous PA (MVPA) on average, respectively. ABs and BTM videos positively affected MVPA. ABs were feasible to implement, however, teachers faced some barriers in implementing the BTM videos. Feasibility of playground interventions may be dependent on staff responsibilities and age of the children.

Made available in DSpace on 2018-12-11T16:45:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01 The present work had the goal of screening a batch of 20 fungal strains, isolated from sugar cane plantation soil, in order to identify those capable of biosynthesis of silver nanoparticles. These nanoparticles are known to have a large and effective application in clinical microbiology. Four strains were found to be capable of biosynthesis of silver nanoparticles. The biosynthesised nanoparticles were characterised by UV–vis spectroscopy, scanning electron microscopy, EDX, and XRD. They were found to have an average size of 30–100 nm, a regular round shape, and potential antimicrobial activity against Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa. The antimicrobial activity was found to be directly related to the nanoparticles concentration. Mycogenic synthesis of nanoparticles is a green biogenic process preferable to other alternatives. Because fungi are great producers of extracellular enzymes this process makes scaling-up an easier task with high importance for clinical microbiology on the fight against microbial resistance, as well as for other industrial applications. Biosciences Institute São Paulo State University-UNESP, Praça Infante Dom Henrique s/no Biology Department Edge Hill University, St Helens Road, Lancashire Richmond Pharmacology Ltd St George’s University London Laboratório de Biotecnologia Industrial Instituto de Pesquisa Tecnológica do Estado de São Paulo Departamento de Química Universidade Federal do Amazonas, Av. General Rodrigo Octávio, Coroado I, 6200 Biosciences Institute São Paulo State University-UNESP, Praça Infante Dom Henrique s/no