700 research outputs found

    Generalized Galilean Algebras and Newtonian Gravity

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    The non-relativistic versions of the generalized Poincar\'{e} algebras and generalized AdSAdS-Lorentz algebras are obtained. This non-relativistic algebras are called, generalized Galilean algebras type I and type II and denoted by GBn\mathcal{G}\mathfrak{B}_{n} and GLn\mathcal{G}\mathfrak{L}_{_{n}} respectively. Using a generalized In\"{o}n\"{u}--Wigner contraction procedure we find that the generalized Galilean algebras type I can be obtained from the generalized Galilean algebras type II. The SS-expansion procedure allows us to find the GB5\mathcal{G}\mathfrak{B}_{_{5}} algebra from the Newton--Hooke algebra with central extension. The procedure developed in Ref. \cite{newton} allow us to show that the non-relativistic limit of the five dimensional Einstein--Chern--Simons gravity is given by a modified version of the Poisson equation. The modification could be compatible with the effects of Dark Matter, which leads us to think that Dark Matter can be interpreted as a non-relativistic limit of Dark Energy.Comment: 16 pages, no figures in 755 (2016) 433-43

    Probing neutralino dark matter in the MSSM & the NMSSM with directional detection

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    We investigate the capability of directional detectors to probe neutralino dark matter in the Minimal Supersymmetric Standard Model and the Next-to-Minimal Supersymmetric Standard Model with parameters defined at the weak scale. We show that directional detectors such as the future MIMAC detector will probe spin dependent dark matter scattering on nucleons that are beyond the reach of current spin independent detectors. The complementarity between indirect searches, in particular using gamma rays from dwarf spheroidal galaxies, spin dependent and spin independent direct search techniques is emphasized. We comment on the impact of the negative results on squark searches at the LHC. Finally, we investigate how the fundamental parameters of the models can be constrained in the event of a dark matter signal.Comment: 21 pages, 16 figure

    Multi-stakeholder contribution to the identification of a core outcome set and measurements in implant dentistry (ID-COSM initiative) using the Delphi methodology

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    AIM: To obtain input from multiple stakeholders and generate agreement on essential outcomes in implant dentistry using the Delphi methodology and incorporate them into an international consensus defining a core outcome set. MATERIALS AND METHODS: Candidate outcomes in implant dentistry were generated from scientific evidence through five commissioned systematic reviews and from people with lived experience in dental implants (PWLE) through four international focus groups. A steering committee identified stakeholders among representatives from dental professionals, industry-related experts and PWLE. Participants underwent a three-round Delphi survey using a multi-stakeholder approach; they assessed candidate outcomes and additional outcomes identified in the first Delphi round. The process followed the COMET methodology. RESULTS: From the 665 potential outcomes identified in the systematic reviews and 89 in the PWLE focus group, the steering committee selected 100 and organized them into 13 categories, to be included in the first-round questionnaire as candidate outcomes. A total of 99 dental experts, 7 dental-industry-related experts and 17 PWLE participated in the first round, and 11 additional outcomes were added to the second round. There was no attrition between the first and second rounds, where 61 (54.9%) outcomes exceeded the pre-established threshold of agreement. PWLE and experts participated in the third round that applied "a priori" standard filters to distil a list of candidate essential outcomes. CONCLUSION: This Delphi study utilized a standardized, transparent and inclusive methodology and preliminarily validated 13 essential outcomes organized into four core areas. These results informed the final stage of the ID-COSM consensus

    Feature extraction based on bio-inspired model for robust emotion recognition

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    Emotional state identification is an important issue to achieve more natural speech interactive systems. Ideally, these systems should also be able to work in real environments in which generally exist some kind of noise. Several bio-inspired representations have been applied to artificial systems for speech processing under noise conditions. In this work, an auditory signal representation is used to obtain a novel bio-inspired set of features for emotional speech signals. These characteristics, together with other spectral and prosodic features, are used for emotion recognition under noise conditions. Neural models were trained as classifiers and results were compared to the well-known mel-frequency cepstral coefficients. Results show that using the proposed representations, it is possible to significantly improve the robustness of an emotion recognition system. The results were also validated in a speaker independent scheme and with two emotional speech corpora.Fil: Albornoz, Enrique Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; ArgentinaFil: Milone, Diego Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; ArgentinaFil: Rufiner, Hugo Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentin

    Ampliación de la distribución geográfica de Microgenys minuta Eigenmann 1913 (Characiformes, Characidae) en la cuenca del río Magdalena, Colombia

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    Se amplía la distribución de Microgenys minuta (Characiformes, Characidae) desde la sección medio-alta del río Cauca y el tramo alto del río Magdalena hasta la porción media de la cuenca del río Magdalena, con base en ejemplares colectados en el piedemonte del departamento de Santander, Colombia

    Ampliación de la distribución geográfica de Microgenys minuta Eigenmann 1913 (Characiformes, Characidae) en la cuenca del río Magdalena, Colombia

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    The distribution of Microgenys minuta (Characiformes, Characidae) is expanded to include the area from the mid-upper section of the Cauca River and the high stretch of the Magdalena River to the middle portion of the Magdalena River Basin, based on specimens collected in piedmont streams of Santander Department, Colombia.Se amplía la distribución de Microgenys minuta (Characiformes, Characidae) desde la sección medio-alta delrío Cauca y el tramo alto del río Magdalena hasta la porción media de la cuenca del río Magdalena, con baseen ejemplares colectados en el piedemonte del departamento de Santander, Colombia

    A Simultaneous Test of Synchrony Causal Factors in Muskrat and Mink Fur Returns at Different Scales across Canada

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    Synchrony among populations has been attributed to three major hypotheses: dispersal, the Moran effect, and trophic-level interactions. Unfortunately, simultaneous testing of these hypotheses demands complete and detailed data, which are scarce for ecological systems.Hudson's Bay Company data on mink and muskrat fur returns in Canada represent an excellent opportunity to test these hypotheses because of the detailed spatial and temporal data from this predator-prey system. Using structural equation modelling, support for each hypothesis was evaluated at two spatial scales: across Canada and dividing the country into three regions longitudinally. Our results showed that at both scales mink synchrony is a major factor determining muskrat synchrony, supporting the hypothesis of trophic-level interactions, but the influence of winter precipitation synchrony is also important in eastern Canada. Moreover, mink synchrony is influenced principally by winter precipitation synchrony at the level of all Canada (Moran effect), but by distance at regional level, which might suggest some influence of dispersal at this level.Our result is one of the few reports of synchrony mediated by trophic-level interactions, highlighting the importance of evaluation of scale effects in population synchrony studies
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