20 research outputs found

    Flight of the dragonflies and damselflies

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    This work is a synthesis of our current understanding of the mechanics, aerodynamics and visually mediated control of dragonfly and damselfly flight, with the addition of new experimental and computational data in several key areas. These are: the diversity of dragonfly wing morphologies, the aerodynamics of gliding flight, force generation in flapping flight, aerodynamic efficiency, comparative flight performance and pursuit strategies during predatory and territorial flights. New data are set in context by brief reviews covering anatomy at several scales, insect aerodynamics, neuromechanics and behaviour. We achieve a new perspective by means of a diverse range of techniques, including laser-line mapping of wing topographies, computational fluid dynamics simulations of finely detailed wing geometries, quantitative imaging using particle image velocimetry of on-wing and wake flow patterns, classical aerodynamic theory, photography in the field, infrared motion capture and multi-camera optical tracking of free flight trajectories in laboratory environments. Our comprehensive approach enables a novel synthesis of datasets and subfields that integrates many aspects of flight from the neurobiology of the compound eye, through the aeromechanical interface with the surrounding fluid, to flight performance under cruising and higher-energy behavioural modes

    Scientific authorships and collaboration network analysis on Chagas disease: papers indexed in PubMed (1940-2009)

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    Chagas disease is a chronic, tropical, parasitic disease, endemic throughout Latin America. The large-scale migration of populations has increased the geographic distribution of the disease and cases have been observed in many other countries around the world. To strengthen the critical mass of knowledge generated in different countries, it is essential to promote cooperative and translational research initiatives. We analyzed authorship of scientific documents on Chagas disease indexed in the Medline database from 1940 to 2009. Bibliometrics was used to analyze the evolution of collaboration patterns. A Social Network Analysis was carried out to identify the main research groups in the area by applying clustering methods. We then analyzed 13,989 papers produced by 21,350 authors. Collaboration among authors dramatically increased over the study period, reaching an average of 6.2 authors per paper in the last five-year period. Applying a threshold of collaboration of five or more papers signed in co-authorship, we identified 148 consolidated research groups made up of 1,750 authors. The Chagas disease network identified constitutes a "small world," characterized by a high degree of clustering and a notably high number of Brazilian researchers

    Productivity trends and collaboration patterns: A diachronic study in the eating disorders field

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    [EN] Objective The present study seeks to extend previous bibliometric studies on eating disorders (EDs) by including a time-dependent analysis of the growth and evolution of multi-author collaborations and their correlation with ED publication trends from 1980 to 2014 (35 years). Methods Using standardized practices, we searched Web of Science (WoS) Core Collection (WoSCC) (indexes: Science Citation Index-Expanded [SCIE], & Social Science Citation Index [SSCI]) and Scopus (areas: Health Sciences, Life Sciences, & Social Sciences and Humanities) to identify a large sample of articles related to EDs. We then submitted our sample of articles to bibliometric and graph theory analyses to identify co-authorship and social network patterns. Results We present a large number of detailed findings, including a clear pattern of scientific growth measured as number of publications per five-year period or quinquennium (Q), a tremendous increase in the number of authors attracted by the ED subject, and a very high and steady growth in collaborative work. Conclusions We inferred that the noted publication growth was likely driven by the noted increase in the number of new authors per Q. Social network analyses suggested that collaborations within ED follow patters of interaction that are similar to well established and recognized disciplines, as indicated by the presence of a ¿giant cluster¿, high cluster density, and the replication of the ¿small world¿ phenomenon¿the principle that we are all linked by short chains of acquaintances.This work was performed with a subsidy from Universidad Catolica de Valencia "San Vicente Martir" to resarch group INDOTEI: Evaluacion de la Ciencia, for the years 2016-2017. This work is benefited from Spanish Government assistance through Government Delegation for the National Drugs Plan of the Ministry of Health, Social Services and Equality (project 2016/028); and National R+D+I (projects: CS02012-39632-C02-01 and CS02015-65594-C2-2-R) and 2015-Networks of Excellence Call (project CS02015-71867-REDT) of the Ministry of Economy and Competitiveness.Valderrama Zurian, JC.; Aguilar-Moya, R.; Cepeda-Benito, A.; Melero-Fuentes, D.; Navarro-Moreno, MÁ.; Gandía-Balaguer, A.; Aleixandre-Benavent, R. (2017). Productivity trends and collaboration patterns: A diachronic study in the eating disorders field. PLoS ONE. 12(8):1-17. https://doi.org/10.1371/journal.pone.0182760S117128McClelland, J., Bozhilova, N., Campbell, I., & Schmidt, U. (2013). A Systematic Review of the Effects of Neuromodulation on Eating and Body Weight: Evidence from Human and Animal Studies. European Eating Disorders Review, 21(6), 436-455. doi:10.1002/erv.2256Lancelot, C., Brooks-Gunn, J., Warren, M. P., & Newman, D. L. (1991). Comparison of DSM-III and DSM-III-R bulimia nervosa classifications for psychopathology and other eating behaviors. International Journal of Eating Disorders, 10(1), 57-66. doi:10.1002/1098-108x(199101)10:13.0.co;2-tWONDERLICH, S. A., CROSBY, R. D., JOINER, T., PETERSON, C. B., BARDONE-CONE, A., KLEIN, M., … VRSHEK, S. (2005). Personality subtyping and bulimia nervosa: psychopathological and genetic correlates. Psychological Medicine, 35(5), 649-657. doi:10.1017/s0033291704004234Spitzer, R. L., Devlin, M. J., Walsh, B. T., Hasin, D., Wing, R., Marcus, M. D., … Nonas, C. (1991). Binge eating disorder: To be or not to be in DSM-IV. International Journal of Eating Disorders, 10(6), 627-629. doi:10.1002/1098-108x(199111)10:63.0.co;2-4Wonderlich, S. A., Gordon, K. H., Mitchell, J. E., Crosby, R. D., & Engel, S. G. (2014). The Validity and Clinical Utility of Binge Eating Disorder. FOCUS, 12(4), 489-505. doi:10.1176/appi.focus.120412Theander, S. S. (2002). Literature on eating disorders during 40 Years: increasing number of papers, emergence of bulimia nervosa. European Eating Disorders Review, 10(6), 386-398. doi:10.1002/erv.495Clinton, D. (2010). Towards an ecology of eating disorders: Creating sustainability through the integration of scientific research and clinical practice. European Eating Disorders Review, 18(1), 1-9. doi:10.1002/erv.986Soh, N. L.-W., & Walter, G. (2013). Publications on cross-cultural aspects of eating disorders. Journal of Eating Disorders, 1(1). doi:10.1186/2050-2974-1-4Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The Increasing Dominance of Teams in Production of Knowledge. Science, 316(5827), 1036-1039. doi:10.1126/science.1136099Kumar, S. (2015). Co-authorship networks: a review of the literature. Aslib Journal of Information Management, 67(1), 55-73. doi:10.1108/ajim-09-2014-0116Barabási, A. ., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications, 311(3-4), 590-614. doi:10.1016/s0378-4371(02)00736-7Newman, M. E. J. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences, 101(Supplement 1), 5200-5205. doi:10.1073/pnas.0307545100Aleixandre-Benavent, R., & Alonso-Arroyo, A. (2011). Indicadores bibliométricos, patología del aparato respiratorio y reducción del consumo de tabaco. Revista de Patología Respiratoria, 14(1), 1-3. doi:10.1016/s1576-9895(11)70095-9Pino-Díaz, J., Jiménez-Contreras, E., Ruíz-Baños, R., & Bailón-Moreno, R. (2011). Evaluación de redes tecnocientíficas: la red española sobre Áreas Protegidas, según la Web of Science. Revista española de Documentación Científica, 34(3), 301-333. doi:10.3989/redc.2011.3.804Valderrama-Zurián, J.-C., Aguilar-Moya, R., Melero-Fuentes, D., & Aleixandre-Benavent, R. (2015). A systematic analysis of duplicate records in Scopus. Journal of Informetrics, 9(3), 570-576. doi:10.1016/j.joi.2015.05.002Guardiola-Wanden-Berghe, R., Sanz-Valero, J., & Wanden-Berghe, C. (2012). Medical subject headings versus American Psychological Association Index Terms: indexing eating disorders. Scientometrics, 94(1), 305-311. doi:10.1007/s11192-012-0866-7Soh, N., Walter, G., Touyz, S., Russell, J., Malhi, G. S., & Hunt, G. E. (2012). Food for thought: Comparison of citations received from articles appearing in specialized eating disorder journals versus general psychiatry journals. International Journal of Eating Disorders, 45(8), 990-994. doi:10.1002/eat.22036Theander, S. S. (2004). Trends in the literature on eating disorders over 36 years(1965-2000): terminology, interpretation and treatment. European Eating Disorders Review, 12(1), 4-17. doi:10.1002/erv.559Kawamura, M., Thomas, C. D. L., Tsurumoto, A., Sasahara, H., & Kawaguchi, Y. (2000). Lotka’s law and productivity index of authors in a scientific journal. Journal of Oral Science, 42(2), 75-78. doi:10.2334/josnusd.42.75Lawani SM. Quality, collaboration and citations in cancer research: A bibliometric study. PhD thesis. Florida State University, Tallahassee. 1980.Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440-442. doi:10.1038/30918Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014). ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. PLoS ONE, 9(6), e98679. doi:10.1371/journal.pone.0098679Pike, K. M., & Dunne, P. E. (2015). The rise of eating disorders in Asia: a review. Journal of Eating Disorders, 3(1). doi:10.1186/s40337-015-0070-2El Ghoch, M., Soave, F., Calugi, S., & Dalle Grave, R. (2013). Eating Disorders, Physical Fitness and Sport Performance: A Systematic Review. Nutrients, 5(12), 5140-5160. doi:10.3390/nu5125140Jones, A. W. (2007). The distribution of forensic journals, reflections on authorship practices, peer-review and role of the impact factor. Forensic Science International, 165(2-3), 115-128. doi:10.1016/j.forsciint.2006.05.013Baker, T., Hatsukami, D., Lerman, C., O’Malley, S., Shields, A., & Fiore, M. (2003). Transdisciplinary science applied to the evaluation of treatments for tobacco use. Nicotine & Tobacco Research, 5(6), 89-99. doi:10.1080/14622200310001625564González-Alcaide, G., Melero-Fuentes, D., Aleixandre-Benavent, R., & Valderrama-Zurián, J.-C. (2013). Productivity and Collaboration in Scientific Publications on Criminology. Journal of Criminal Justice Education, 24(1), 15-37. doi:10.1080/10511253.2012.664153López-Muñoz, F., Alamo, C., Rubio, G., García-García, P., Martín-Agueda, B., & Cuenca, E. (2003). Bibliometric analysis of biomedical publications on SSRI during 1980-2000. Depression and Anxiety, 18(2), 95-103. doi:10.1002/da.10121González-Alcaide, G., Aleixandre-Benavent, R., Navarro-Molina, C., & Valderrama-Zurián, J. C. (2008). Coauthorship networks and institutional collaboration patterns in reproductive biology. Fertility and Sterility, 90(4), 941-956. doi:10.1016/j.fertnstert.2007.07.1378González-Alcaide, G., Park, J., Huamaní, C., Belinchón, I., & Ramos, J. M. (2015). Evolution of Cooperation Patterns in Psoriasis Research: Co-Authorship Network Analysis of Papers in Medline (1942–2013). PLOS ONE, 10(12), e0144837. doi:10.1371/journal.pone.0144837Bordons, M., & Ángeles Zulueta, M. (2002). La interdisciplinariedad en los grupos españoles de investigación en el área cardiovascular. 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Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web. Scientometrics, 60(3), 409-420. doi:10.1023/b:scie.0000034383.86665.22Yan, E., Ding, Y., & Zhu, Q. (2009). Mapping library and information science in China: a coauthorship network analysis. Scientometrics, 83(1), 115-131. doi:10.1007/s11192-009-0027-9Yin, L., Kretschmer, H., Hanneman, R. A., & Liu, Z. (2006). Connection and stratification in research collaboration: An analysis of the COLLNET network. Information Processing & Management, 42(6), 1599-1613. doi:10.1016/j.ipm.2006.03.021Lambiotte, R., & Panzarasa, P. (2009). Communities, knowledge creation, and information diffusion. Journal of Informetrics, 3(3), 180-190. doi:10.1016/j.joi.2009.03.007Leydesdorff, L. (2012). World shares of publications of the USA, EU-27, and China compared and predicted using the new Web of Science interface versus Scopus. 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    A delineating procedure to retrieve relevant publication data in research areas: the case of nanocellulose

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    Advances concerning publication-level classification system have been demonstrated striking results by dealing properly with emergent, complex and interdisciplinary research areas, such as nanotechnology and nanocellulose. However, less attention has been paid to propose a delineating method to retrieve relevant research areas on specific subjects. This study aims at proposing a procedure to delineate research areas addressed in case nanocellulose. We investigate how a bibliometric analysis could provide interesting insights into research about this sustainable nanomaterial. The research topics clustered by a Publication-level Classification System were used. The procedure involves an iterative process, which includes developing and cleaning a set of core publication regarding the subject and an analysis of clusters they are associated with. Nanocellulose was selected as the subject of study, but the methodology may be applied to any other research area or topic. A discussion about each step of the procedure is provided. The proposed delineation procedure enables us to retrieve relevant publications from research areas involving nanocellulose. Seventeen research topics were mapped and associated with current research challenges on nanocellulose.Merit, Expertise and Measuremen

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    Effect of microstructure on the mechanical and damping behaviour of dragonfly wing veins

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    Insect wing veins are biological composites of chitin and protein arranged in a complex lamellar configuration. Although these hierarchical structures are found in many 'venous wings' of insects, very little is known about their physical and mechanical characteristics. For the first time, we carried out a systematic comparative study to gain a better understanding of the influence of microstructure on the mechanical characteristics and damping behaviour of the veins. Morphological data have been used to develop a series of three-dimensional numerical models with different material properties and geometries. Finite-element analysis has been employed to simulate the mechanical response of the models under different loading conditions. The modelling strategy used in this study enabled us to determine the effects selectively induced by resilin, friction between layers, shape of the cross section, material composition and layered structure on the stiffness and damping characteristics of wing veins. Numerical simulations suggest that although the presence of the resilin-dominated endocuticle layer results in a much higher flexibility of wing veins, the dumbbell-shaped cross section increases their bending rigidity. Our study further shows that the rubber-like cuticle, friction between layers and material gradient-based design contribute to the higher damping capacity of veins. The results of this study can serve as a reference for the design of novel bioinspired composite structures.1123

    Detecting quantitative trait loci affecting beef tenderness on bovine chromosome 7 near calpastatin and lysyl oxidase

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    From a study of 3 large half-sib families of cattle, we describe linkage between DNA polymorphisms on bovine chromosome 7 and meat tenderness. Quantitative trait loci (QTL) for Longissimus lumborum peak force (LLPF) and Semitendonosis adhesion (STADH) were located to this map of DNA markers, which includes the calpastatin ( CAST) and lysyl oxidase (LOX) genes. The LLPF QTL has a maximum lodscore of 4.9 and allele substitution of approximately 0.80 of a phenotypic standard deviation, and the peak is located over the CAST gene. The STADH QTL has a maximum lodscore of 3.5 and an allele substitution of approximately 0.37 of a phenotypic standard deviation, and the peak is located over the LOX gene. This suggests 2 separate likelihood peaks on the chromosome. Further analyses of meat tenderness measures in the Longissimus lumborum, LLPF and LL compression (LLC), in which outlier individuals or kill groups are removed, demonstrate large shifts in the location of LLPF QTL, as well as confirming that there are indeed 2 QTL on bovine chromosome 7. We found that both QTL are reflected in both LLPF and LLC measurements, suggesting that both these components of tenderness, myofibrillar and connective tissue, are detected by both measurements in this muscle
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