779 research outputs found

    Minimal resonances in annular non-Euclidean strips

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    Differential growth processes play a prominent role in shaping leaves and biological tissues. Using both analytical and numerical calculations, we consider the shapes of closed, elastic strips which have been subjected to an inhomogeneous pattern of swelling. The stretching and bending energies of a closed strip are frustrated by compatibility constraints between the curvatures and metric of the strip. To analyze this frustration, we study the class of "conical" closed strips with a prescribed metric tensor on their center line. The resulting strip shapes can be classified according to their number of wrinkles and the prescribed pattern of swelling. We use this class of strips as a variational ansatz to obtain the minimal energy shapes of closed strips and find excellent agreement with the results of a numerical bead-spring model. Within this class of strips, we derive a condition under which a strip can have vanishing mean curvature along the center line.Comment: 14 pages, 13 figures. Published version. Updated references and added 2 figure

    Toolbox approaches using molecular markers and 16S rRNA gene amplicon data sets for identification of fecal pollution in surface water

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    In this study, host-associated molecular markers and bacterial 16S rRNA gene community analysis using high-throughput sequencing were used to identify the sources of fecal pollution in environmental waters in Brisbane, Australia. A total of 92 fecal and composite wastewater samples were collected from different host groups (cat, cattle, dog, horse, human, and kangaroo), and 18 water samples were collected from six sites (BR1 to BR6) along the Brisbane River in Queensland, Australia. Bacterial communities in the fecal, wastewater, and river water samples were sequenced. Water samples were also tested for the presence of bird-associated (GFD), cattle-associated (CowM3), horse-associated, and human-associated (HF183) molecular markers, to provide multiple lines of evidence regarding the possible presence of fecal pollution associated with specific hosts. Among the 18 water samples tested, 83%, 33%, 17%, and 17% were real-time PCR positive for the GFD, HF183, CowM3, and horse markers, respectively. Among the potential sources of fecal pollution in water samples from the river, DNA sequencing tended to show relatively small contributions from wastewater treatment plants (up to 13% of sequence reads). Contributions from other animal sources were rarely detected and were very small

    Note on the sampling of sardine (Sardinella allecia) at Cananéia, State of São Paulo, Brazil

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    Este trabalho inclui uma análise da distribuição de comprimentos das sardinhas pescadas na Lagoa de Cananéia, ao sul do Estado de São Paulo, Brasil. Demonstra-se que as sardinhas jovens aparecem nas pescas realizadas durante o mês de outubro, crescem rapidamente mais ou menos até janeiro e daí para diante, mais vagarosamente, até atingirem o comprimento de 14 cm em abril, quando então desaparecem da Lagoa. Faz-se a correlação entre os desembarques de sardinhas maiores no Rio de Janeiro e das sardinhas pequenas desembarcadas em Cananéia no ano anterior. Sugere-se que a abundância de sardinhas desembarcadas em Cananéia, num ano, pode ser usada como índice de abundância de sardinhas no ano seguinte no Rio de Janeiro.This paper includes an analysis of the length distribution of Sardine landed from the Lagoon of Cananéia in the south of the State of São Paulo, Brazil, in which it is shown that young Sardines appear in the catches during October, grow quickly until about January, and then more slowly until they reach the length of 14 cm in April. They then disappear from the Lagoon. A correlation is made between the landings of larger Sardine in Rio de Janeiro and the small Sardine landed in Cananéia the previous year. It is suggested that the abundance of Sardine landed in Cananéia may be used as an index of abundance in the following year at Rio de Janeiro

    Systemic Risk and Default Clustering for Large Financial Systems

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    As it is known in the finance risk and macroeconomics literature, risk-sharing in large portfolios may increase the probability of creation of default clusters and of systemic risk. We review recent developments on mathematical and computational tools for the quantification of such phenomena. Limiting analysis such as law of large numbers and central limit theorems allow to approximate the distribution in large systems and study quantities such as the loss distribution in large portfolios. Large deviations analysis allow us to study the tail of the loss distribution and to identify pathways to default clustering. Sensitivity analysis allows to understand the most likely ways in which different effects, such as contagion and systematic risks, combine to lead to large default rates. Such results could give useful insights into how to optimally safeguard against such events.Comment: in Large Deviations and Asymptotic Methods in Finance, (Editors: P. Friz, J. Gatheral, A. Gulisashvili, A. Jacqier, J. Teichmann) , Springer Proceedings in Mathematics and Statistics, Vol. 110 2015

    Sound comparisons: a new online database and resource for research in phonetic diversity

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    Sound Comparisons hosts over 90,000 individual word recordings and 50,000 narrow phonetic transcriptions from 600 language varieties from eleven language families around the world. This resource is designed to serve researchers in phonetics, phonology and related fields. Transcriptions follow new initiatives for standardisation in usage of the IPA and Unicode. At soundcomparisons.com, users can explore the transcription datasets by phonetically-informed search and filtering, customise selections of languages and words, download any targeted data subset (sound files and transcriptions) and cite it through a custom URL. We present sample research applications based on our extensive overage of regional and sociolinguistic variation within major languages, and also of endangered languages, for which Sound Comparisons provides a rapid first documentation of their diversity in phonetics. The multilingual interface and user-friendly, ‘hover-tohear’ maps likewise constitute an outreach tool, where speakers can instantaneously hear and compare the phonetic diversity and relationships of their native languages

    Music Tune Restoration Based on a Mother Wavelet Construction

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    It is offered to use the mother wavelet function obtained from the local part of an analyzed music signal. Requirements for the constructed function are proposed and the implementation technique and its properties are described. The suggested approach allows construction of mother wavelet families with specified identifying properties. Consequently, this makes possible to identify the basic signal variations of complex music signals including local time-frequency characteristics of the basic one

    What is psychiatry? Co-producing complexity in mental health

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    What is psychiatry? Such a question is increasingly important to engage with in light of the development of new diagnostic frameworks that have wide-ranging and international clinical and societal implications. I suggest in this reflective essay that ‘psychiatry' is not a singular entity that enjoins consistent forms of critique along familiar axes; rather, it is a heterogeneous assemblage of interacting material and symbolic elements (some of which endure, and some of which are subject to innovation). In underscoring the diversity of psychiatry, I seek to move towards further sociological purchase on what remains a contested and influential set of discourses and practices. This approach foregrounds the relationships between scientific knowledge, biomedical institutions, social action and subjective experience; these articulations co-produce both psychiatry and each other. One corollary of this emphasis on multiplicity and incoherence within psychiatric theory, research and practice, is that critiques which elide this complexity are rendered problematic. Engagements with psychiatry are, I argue, best furthered by recognising its multifaceted nature

    Small molecules, big targets: drug discovery faces the protein-protein interaction challenge.

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    Protein-protein interactions (PPIs) are of pivotal importance in the regulation of biological systems and are consequently implicated in the development of disease states. Recent work has begun to show that, with the right tools, certain classes of PPI can yield to the efforts of medicinal chemists to develop inhibitors, and the first PPI inhibitors have reached clinical development. In this Review, we describe the research leading to these breakthroughs and highlight the existence of groups of structurally related PPIs within the PPI target class. For each of these groups, we use examples of successful discovery efforts to illustrate the research strategies that have proved most useful.JS, DES and ARB thank the Wellcome Trust for funding.This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/nrd.2016.2
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